BEHOGR‘APEEC CEARACTERISTICS AND THE NUT’RETIGNAL STATUS 0F HERMES EKTEBKNG 'FBE EXPANDEEI NWRIIIOE AND. FAME“ EEGGRAMS Thaw-s ‘0? Has Dog?“ of M. S. MICHEGAN 5TH}: UNIVERSE" Mary Elisabeth Kerr I973 1V1531_) BEIURNING MATERIALS: P1ace in book drop to- uaaAms remove this checkout from ” your record. FINES wiH be charged if book is ~ returned after the date stamped be10w. Ti “‘——*'-——-—e ~———;~ _ III! v 1 rr«1_______ ABSTRACT DEMOGRAPHIC CHARACTERISTICS AND THE NUTRITIONAL STATUS OF FAMILIES ENTERING THE EXPANDED NUTRITION AND FAMILY PROGRAMS By Mary Elisabeth Kerr The.Expanded Nutrition and Family Programs (EFNP) were started in January, 1969, to improve the nutritional status of low-income families. Several aspects of the program have been researched, but none have objectively measured change within the family beginning ‘with family entry into the program. The present evaluation method, the homemaker's Zh-hour food recall, is limited in its accuracy and reliability. This study provides the baseline data to describe the nutri- tional status and demographic characteristics of 176 families as they entered the program. The families were enrolled in their usual manner by nutrition aides. Information on the family's grocery shopping pattern, the homemaker's nutrition knowledge, and the collection of random urine specimens were obtained in two home interviews. Urine samples were collected from available family members.‘ The urine specimens were analyzed for thiamin, riboflavin, and creatinine. The excretion levels of the vitamins/gran. of creatinine for each individual were classified as deficient, lo", acceptable, or high using ICNND (1963) standards. Demographic information, as well as the homemaker's 24-hour food recall, was obtained from the family record form completed by the nutrition aide at the time of enrollment. Mary Elisabeth Kerr The adequacy of the Zh-hour food recalls was determined by comparison with Basic Four adult standard: ‘ two servings from the mat group; two from the milk group; four from the fruit-vegetable group; and four from the bread-cereal group. Based on the 21+-hour food recalls, the diets of the homemakers were seriously inadequate. The diets of most of the homemakers met only one out of four of the food groups. The food group most frequently not was neat, and the group most frequently lacking was fruit-vegetable. Milk was also used infrequently. ‘ Hommakers did the majority-of the grocery shopping and preferred to shop at supermarkets. Transportation was usually by means of a family car or a friend or relative's car. Food purchases were influenced most frequently by cost. Family preference, needing a food item, and nutritional value followed in that order. Biochemical results from urine specinns of all available . family members showed.that thiamine nutriture appeared to be acceptable. Over one-fourth of the families showed low or deficient levels of riboflavin excretion. This may be a reflection of the inadequate l1” Of‘m1ke The responses to the nutrition statements revealed that the homemakers had limited knowledge of nutrition. 'There is a great opportunity for nutrition aides to expand the honmakers ' nutrition knowledge and their families' eating patterns. ' DEMOGRAPHIC CHARACTERISTICS AND THE NUTRITIONAL STATUS OF FAMILIES ENTERING THE EXPANDED NUTRITION AND FAMILX PROGRAMS By Mary Elisabeth Kerr A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Food Science and Human Nutrition 1973 DEDICATION To aw mother, who first taught me the importance of good nutrition 11 ACKNOWLEDGEMENTS "Abide in me... for without me ye can do nothing." John 15: 4, 5 'Without the Lord there would have been no research and no thesis. My deepest appreciation is extended to my committee members: Dr. Portia Mbrris, for her interest, guidance, and patience though- out this research and thesis writing; and Dr. Mary Zabik and Dr., Dorice Narins, for their excellent suggestions in the revision of .this thesis. ‘ I Special thanks go to Dr. Jo Lynn Cunningham, who also guided in research efforts, data analysis, and thesis writing. My delightful cadworkers in data collection made the task enjoyable and interesting: Donna Duff, my "co-urine sample collector": and Beverly Eubank and Susan Schram, who talked their mouths dry interviewing homemakers. Other helpers were Mary Andrews and Judy Vertalka who did a considerable amount of "pinch-hitting" on top of their own responsibilities. I . Grateful appreciation also go to Kathy Muiruri and Dr. Dale Romsos for their long hours in a lonely lab analyzing urine specimens. The tedious Job of coding and quality checking was done by Barbara Kreutz, Joanne Keith, Beveraly Eubank, Susan Schram, and Sally Trapp. Thank you for your tired eyes on my behalf! iii For writing the computer programs, I am indebted to Verda Scheifley and Mary Andrews .' My acknowledgements would not be complete unless I lauded ' all the nutrition aides and families who participated in this research. Had it not been for each child who proudly surrendered his urine sample or who diligently tried to donate a sample, there would have been little data for this study. Many thanks to you all. iv TABLE OF CONTENTS Chapter I INTRODUCTION . . . . . . . . . . . . . . . . . . Objectives . . . . . . . . . . . . . . . . . . . II LITERATURE REVIEW . . . . . . . . . . . . . . . . Dietary Patterns in America . . . Factors Affecting Nutrient Intake . . . . . . . e USDA Nutrition Programs . . . . . . . . . . . . . Urinary Excretion of Vitamins . . . . . . . . . . Variability of Thiamin Excretion . . . . . . . . Variability of Riboflavin Excretion . . . . . . Relationship of Vitamins to Creatinine Excretion Selection of the Sample . . . . Instrument e e e e e e e e e e Preparation for Data Collection Data Collection . . . . . . . . Analysis Of Data e e e e e e e IV RESULTS ‘ O 0 O O O O O O O 0 O O O O O O O O I 0 Description of Sample . . . . . Food Purchasing Practices . . e Homemakers' 24-Hour FOOd Recall Results of Biochemical Analysis Nutrition Knowledge e e e e e e Correlations e e e e e e e e e V DISCUSSION 0 O O O O O O O O O I O O 0 O O O O 0 Limitations of the Present Research . . . . . . . sumry and. conCIUSions . e o e e e e o e e e o e Suggestions for Future Research e e e e e e e e e BIBLImRAPHY O O O O O O O O O O O O O O O O O O O O O ’ Page APPENDICES C9C)U1>’ Aide's Family Enrollment Form . . . Biological Data Recording Form . . . . Nutrition Information Recording Form . Interviewing Procedures 1. Interviewing Procedure for Biological Data . 2. Interviewing Procedure for Attitudinal Data Other 1e PBPMZ’LSSlODSlipeeeeeeeeeeeeee 2. Physician Referral Slip e e e e e e e e e e vi Page 52 6O 65 66 Table 1. ll. 12. 13. 14. 15. 16. 17. 18. LIST OF TABLES Residence, ethnic background, and education of the hokaer O O O O O O O O O O O O O O O O O O O O O O O O Aid received by family. e e e e e e e e e e e e e e e e e Age of homemaker and family size and income . . . . . . e Participation in SChOOl lunch e e e e e e e e e e e e e e Food preparation equipment and utilities available to homemaker e e e e e e e e e e e e e e e e e e e e e e e e Grocery shopping data . . . . . . . . . . . . . . . . . e Factors influencing food purchases . . . . . . . . . . . Adequacy of food groups from 24-hour food recalls . . . . Homemakers meeting Basic Four standard . . . . . . . . . Dietary information on those meeting two and three of the BfiSiC Four fOOd groups e e e e e.e e e e e e e e e e Homemakers meeting one-half or more Basic Four standard . Thiamin excretion levels by age group (based on ICNND standards or RdGQUBCY) e e e e e e e e e e e e e e e e e Thiamin excretion levels (meg/gram creatinine) . . . . . Riboflavin excretion levels by age group (based on ICNND Standards Of adequacy) e e e e e e e e e e e e e e e e e Riboflavin excretion levels (meg/gram creatinine) . . . . Nutrition statements missed by 75% or more of the homemakers e e e e e e e e e e e e e e e e e e e e e e e Nutrition statements answered appropriately by 75% of more homemakers e e e e e e e e e e e e e e e e e e e e e Correlations between six variables . . . . . . . . . . . vii Page 25 25 26 26 27 28 29 _ 30 31 31 32 33 33 35 . 36 A. 37 38 CHAPTER I INTRODUCTION Despite the general affluence of American society, there is growing concern over the actual nutritional status of the American family and more particularly, of the low-income family. The United States Department of Agriculture has initiated several programs to. aid low-income families in improving their nutrition, among which is \the Expanded Family and Nutrition Education Program (EFNEP). Davis (1968) reported that staff members of the Cooperative Extension Service recognized that low-income families do not parti- cipate in group activities, nor do they learn through bulletins or other conventional educational materials. Personal and frequent contact with these homemakers is necessary to induce any change in their food consumption patterns. Because of the limited time of professional staff, para-professionals, known as nutrition aides could be used to provide personal assistance to these families. Since its inception in January, 1969, various studies have been done to determine the effectiveness and the needs of the Expanded Nutrition Program on a national level. The USDA Economic Research Service (1969) studied program operation from January through July} 1969, gathering data from seven sample locations. From the ZQ-hour food recalls taken by the aides, they found an increased use of bread and cereal foods, but more especially, an increase in the use of milk, fruits, and vegetables. It was observed that "local programs have 1 little guidance on how to conduct self-evaluation and no systematically use-tested procedures." The USDA Federa1.Extension Service (1971) conducted a second in-depth study of the Expanded Nutrition Program from April 1, 1970, through March 31, 1971, at ten selected locations. The data was collected from family records and interviews with program participants and personnel. This study examined managerial aspects of the program, as administration and personnel, more than examining changes in family eating patterns. Data showed that nutrition related practices were .being promoted, but there were only indirect means available for demonstrating achievement. Data obtained from the 24-hour food recall did indicate a shift toward greater use of milk, fruit, and vegetable products and less use of bread and cereals. The authors concluded that measures of the homemakers' nutritional knowledge needed to be improved. The USDA Economic Research Service (1972) published a report based on information from approximately five percent of the families enrolled before October, 1969. On the basis of data from initial 24-hour food recalls, more than 90% of the homemakers reported fewer servings from at least one of the Basic Four food groups than is recommended. The milk group and the fruit-vegetable group were most often lacking. Several groups have conducted isolated studies on specific aspects of the EFNEP prOgram. Prichard and Hall (1971) in Nebraska studied the attitudes of aides and clients toward the program. Seoane (1971) studied the shopping practices of EFNEP families for convenience foods. In Maryland, some of the changes resulting from 3 the Expanded Nutrition Program were that homemakers used new foods, prepared some foods differently, and learned the principles of planning balanced diets and wise food shopping. Although eating habits improved, the majority had not yet attained adequate diets (Hang and Ephross, 1970). The reliability and validity of periodic 24-hour food recalls of the homemaker's food intake for assessing the adequacy of the family's diet has been questioned by several groups. Huenemann and Turner (1942) emphasized the flexibility of the diet from.day to day. Krehl and Hodges (1965) discussed the inaccuracies resulting from insufficient knowledge of the quantity of food consumed by the individual. Beal (1967) believed it to be a memory test, valid only in surveys where time, money, and personnel were limited. Eppright and associates (1952) mentioned the importance of chasing a period of time representing the usual behavior of the subjects, as well as recognizing the fact that girls are more variable in their food intake than are bqys.i Hunscher and Maqy(1951) stated several problems: incomplete knowledge of food composition: the fact that common foods vary widely in composition: and the variations that exist in methods of preparing raw foods, which affect their nutrient content. Trulson and McCann (1959) believed daily dietary records to be useful only when the subjects were literate and reliable. leverton (1960) noted two further problems with food recalls: what happens to ingested food may be different from one individual to another; and we don't really know what differences in nutritional status mean in terms of performance and well-being of the individual. a s As a means of overcoming some of the inadequacies of the dietary history, urinary excretion of thiamin and riboflavin has been used to express nutritive status. The validity of assessing nutri- tional status by means of random urine specimens is based on the ability to analyze the vitamin levels and express them as a ratio of the creatinine excretion. Clarke gt_gl (1966) and Lowry (1952) concluded that random urine specimens could be used well for studies of population groups, relating the vitamins to creatinine excretion was convenient, and the use of creatinine tended to correct for the size of the individual. Louhi 22 £1 (1952) concurred, suggesting that the ratio of the thiamin per gram of creatinine could be used as well as ZN-hour collection for a rough estimate of the nutriture of the individual. Objectives .The main objective of this thesis was to develop a descriptive profile of the demographic.characteristics and the nutritional status of 176 families as they entered the Expanded Nutrition and Family Programs (ENFP). This would provide baseline data from.which to assess change. Among the areas of interest were family income, age and education of the homemaker, size of the family, the home- maker's 24-hour food recall, her responses to various statements related to nutrition knowledge, and levels of vitamin excretion. Another objective was to determine what relationships might exist between 24-hour food recalls, vitamin levels, nutrition knowledge, and income of the homemaker. CHAPTER II LITERATURE REVIEW Dietary Patterns in America Ethnic groups, income groups, age groups, and various population groups have been studied to determine their nutritional status. Beal (1955) studied upper middle-class Denver families to obtain a ‘picture of the nutrient intake of healthy children living at home during the first five years of life. Using Zh-hour food recalls, she found that thiamin intake increased steadily during the first 15 months, leveled until just after three years of age, then increased again. The median intake was slightly above the RDA. Riboflavin, after an initial rise in the first year, decreased in the second and third years with decreased milk consumption, but then increased again. More than 75% of the children consumed more riboflavin than recommended by RDA standards during the first three years. Further work by Beal (1961) among upper middle-income families showed that healthy, growing children tend to have superior food and nutrient intake more often than intakes that do not meet the Recommended Dietary Allowance (RDA) standards. ' Calcium, iron, and vitamins A and c intakes are frequently shown to be low in nutrition surveys. Brown and associates (1970), studying two- and three-year old children of low- and middle-income families in Honolulu, found low-income children more likely to have 6 low intakes of calcium, vitamin C, vitamin A (to a lesser extent) and riboflavin than were middle-income children. ‘Both income groups tended to show somewhat low calcium and iron intakes. Ho and Brown's (1970) investigation of food intakes of infants attending well-baby clinics in Honolulu indicated that .11 the nutrients met at least two-thirds of the RDA.except for iron. The iron intake of slightly more than half of the infants was Just below 50% of the RDA. Fox 93 2.1. (1971) concur. In their study of pre-schoolers in twelve north central states, they found that calcium and phosphorous compared favorably with the RDA, but iron was low. Morgan (1959) reported that during 1914-1958, about 12,000 individuals in 39 states participated in a nutrition research project. Seven-day food records were kept, and dietary adequacy was measured by the 1958 National Research Council recommended daily intake of nutrients. Physical examinations were provided, which included biochemical analysis of blood and urine, and in some cases, dental exams and x-rqys of bones and teeth. Nutritional status,as measured by dietary intake, on the whole was very good. qus from.5-12 years of age showed excellent dietary intakes of all nutrients, while the calcium intake of girls in this age group tended to be slightly lower. qus aged 13-20 showed adequate intake of all nutrients except vitamin C. Girls in this age bracket showed borderline intakes of calories and protein, and were seriously low in calcium, iron, thiamin, and vitamin 0. Adult men showed high intakes of all nutriento except calories and thiamin, while adult women showed good average intake of all nutrients except calories, thiamin, calcium, and riboflavin. Morgan concluded 7 that vitamins A and C and the minerals calcium.and iron were lower than the RDA more frequently than any other nutrients.~ Davis and associates (1969) found that a significant propor- tion of the population had dietary intakes below one-half the RDA in certain nutrients. After puberty males showed nutrient intakes that were usually more adequate than females. There was evidence that a substantial number of infants were poorly nourished, and this situation existed in high-income groups as well as low. Economic status was not necessarily a good predictor of nutrient intake except in the cases of calcium and vitamins A and C. Factors Affecting_Nutrient Intake The factors influencing food consumption behavior and food attitudes have been researched by several groups. Lund and Burk (1969) pointed out that we know in considerable detail what our population is consuming and what the nutritive value of its consump- tion is. What we don't know is why people choose the foods they do, how food habits are established, and how they can be modified. It is in our knowledge of the behavioral aspects of nutrition that serious gaps exist. In their study of children's food consumption behavior, they found that only about 20% of the families used mealtime for educating children about food. Vitamin A intakes seemed most closely related to food attitudes and experiences of mothers and children, but the fathers' attitudes were not significant. In regard to vitamin C intakes of children, the important factors in determining intake were "parental attitudes toward critical foods and children's behavior while eating." 8 An interesting study by Hardy and associates (1943) in the Chicago area investigated the diets of two- to eight-year old children from.different socioeconomic groups. They concluded that economic conditions affected nutritional adequacy since there were improvements in diets following a marked increased in the food budget. The Negro population exhibited poor diets more frequently than White children, and all the dietary inadequacies resulted most often from lower consumption of fruits and vegetables. Inadequate use of protein foods was seldom observed. Fryer'gtflgl (1971) found that family income was not signi- ficantly related to the intake of carbohydrates, protein, and fat in the children they studied. Fox gt El (1971) stated that the amount of money spent for food seemed more important than income or education of the mother in positively influencing nutrient intake. Eppright _e_t_ 5; (1970) concurred that the amount of money spent for food was important in improving the diet. Hiemstra (1972) pointed out that food or nutrient expenditures do not necessarily increase with an increase in income. Young and associates (1956) looked at homemakers' nutrition knowledge in Syracuse and Rochester, New York. They found that the educational level of the homemaker showed a greater relationship to nutrition knowledge than did income. As educational level increased ‘within an income bracket, the percentage of homemakers using the basic seven increased. This did not prove true as income increased at an educational level. Nutritional knowledge did improve the homemaker's performance in feeding her family, but many homemakers performed better in feeding their families than their nutrition knowledge would indicate. 9 The relationship between the educational level of the mother and nutrition has been investigated further. Morse _e__t_ 5; (1967) found that the more education the mother possessed, the better answers she gave to practical nutrition questions, although there were exceptions on both sides. A course in nutrition appeared to be directly bene- ficial to nutrition knowledge without being related to higher education. Studies by Hinton and associates (1963), Hendel gt 51 (1965), and Eppright gt_§l (1970) suggested that the mother's education.was very important in influencing her family's dietary intake. Dickens and Ferguson (1958), on the other hand, in a study of homemakers' use of dairy products, found a low relationship between a homemaker's use and her knowledge of dairy products. Allen.gt El (1970) approached the study of nutritional adequacy from the standpoints of family commensality and academic performance. Family commensality was determined from the number of meals eaten together, what family member prepared the meals, and the quality of the cooking. Family commensality was associated with increased food likes, dietary adequacy, and good health. Correlations suggested a positive influence on the childrens' academic performance. I we must conclude from these facts that the daily routine of the family sharing of meals-~breakfast, lunch, and dinner--exerts a consistent positive and beneficial _ influence on the personal, academic, and social develop- ment of the child and on his maturation and progress toward vocational adequacy. There appear to be other sociological factors which influence the nutritional status of children. Hinton gt El (1963) found that various social factors influenced the eating behavior and dietary intake of girls 12-14 years old. The girls who scored best in emotional stability, conformity, adjustment to reality, and family 10 relationships missed fewer meals and had better diets than girls scoring less well in these areas. Girls maturing either early or late had poor eating habits and demonstrated feelings of inadequacy and isolation. If the girls considered health an important factor in food selection, their diets were much more adequate than the diets of those girls who considered the enjoyment of food an end in itself. Sims (1971) studiei nutritional status of pre-school children in moderate-income families in relation to various environmental factors. She grouped methers into two categories. Type I mothers were non- authoritarian, valued freedom, possessed low feelings of powerlessness, exhibited high family centrism or cohesiveness, felt a high regard for education, and had attained high socioeconomic status. Type II mothers were authoritarian, had some feelings of powerlessness, prestige and religion were of high importance, and they tended to possess lower socioeconomic status. Type I mothers felt nutrition was very important, scored higher on nutrition tests and use of the Basic Four, and spent less money on food than type II mothers. Children in type I families had higher calcium and vitamin C intakes than children of type II families, although the latter group tended to consume more calories, carbohydrates, iron, and thiamin than the former. Type II children were generally heavier for their height than were type I children, who appeared to show a more balanced physique. I Meyers (1970) summarized some of the extra costs poor families face which may make it more difficult for them to afford greater food expenditures. They often cannot take advantage of seasonal 11 sales, and they may be limited to buying in their own neighborhood where costs may be high. The quality of their purchase is limited I to the quality they can afford at a particular time, and credit costs are high. Their consumer education may also be limited, and thus they don't know how to use certain foods or how to extend their purchasing power. Bryan and Lowenberg (1958) looked at the father's influence on young children's food preferences. There was a slight correla- tion between the fathers' and childrens' reactions to vegetables. Eighty-nine percent of the mothers did not serve certain foods if the father did not like them. Thus it appeared that the father's main influence on the child's preferences was of limiting the variety of food offered to the child. Sanjur and Scoma (1971) supported the conclusion that foods unfamiliar to or disliked by the parents were also unfamiliar to the child. USDA Nutrition Programs The effectiveness of the USDA school lunch and food stamp programs in improving the nutrition of low-income families has been investigated. Schaefer (1969) reported that in San Diego, Texas, where over 90% of the children in the low-income area were served free lunches, the nutritional status of children in that area was far superior to other low-income areas surveyed. Callahan's (1971) study in Massachusetts indicated that Type A lunches were nutri- tionally superior to bag lunches or other alternatives. Madden and Yoder (n.d.) reported that in rural areas of central Pennsylvania total food expenditures could be increased by the food stamp program, showijig higher intakes of iron and thiamin and riboflavin by stamp 12 recipients in one of two counties studied. Reese (1971) also reported that food expenditures could be increased through the food stamp program. ‘ Hiemstra (1972) summarized and evaluated some of the USDA food programs. With every 10% increase in disposable income, consumers tend to increase food expenditures by four to six percent. The difficulty, however, is that in terms of nutrients or pounds of food, not much additional food is purchased as income rises. Therefore, if nutrient intake is to increase, there must be an incentive for the consumer to buy food, or a restriction of other purchases to encourage food buying. The food stamp program appeared to be making favorable impacts on the nutrient intake of the families receiving the food stamps. Urinary Excretion 2quitamins The difficulties in assessing nutriture by dietary recalls or dietary records have been discussed in the introductory chapter. Urinary excretion of thiamin and riboflavin has been used in surveys to assess intakes of these vitamins. Using Pearson's (1962) vitamin excretion tables, Meyers gt_gl_(1968) found that 20% of the children in a depressed area of urban Boston showed thiamin excretions in the low range. Riboflavin excretions tended to be in the normal ranges. Owen gt_gl (1969), on the other hand, found the urinary excretions of both thiamin and riboflavin to be acceptable in 585 Mississippi pre-school children. Brin et_gl (1965) studied thiamin and riboflavin excretions among the elderly in New York state. He concluded that 18% of the subjects were thiamin deficient using the ICNND (1963) tables, or 21% using 13 Pearson's tables (1962). None were deficient with respect to riboflavin. Tzeng (1971) researched primary school children in Danville, Illinois. Using ICNND (1963) values for urinary thiamin and riboflavin, she determined that 9% of the males and 14% of the fe- males had unacceptable thiamin values. With regard to race, 9% or the whites and 16% of the non-whites showed unacceptable thiamin values. Seven percent males, 10% females, 7% whites and 11% non-whites had unacceptable values of riboflavin. McGanity (1969) examined 4,497 individuals in Texas who represented the lower 25% of socioeconomic status. Median urinary values for thiamin and riboflavin were in the acceptable range. The percentage of individuals showing low thiamin values was twice as large in the non-Latin white subjects as in either Mexican American or Negro American. Low riboflavin was seen one and one-half times as often in non~Latin whites as in the other group8. Variability_2£_Thiamin Excretion Friedemann and his associates (19Q9) studied the utilization of low and high thiamin and riboflavin intakes, examining the effects of work and rest. The urinary excretions of thiamin and riboflavin suggest that the tissue concentration of these vitamins may depend on the physical state and the diet of the individual, as well as the daily vitamin intake. Thiamin excretion was not related to riboflavin excretion. The excretion of these vitamins was generally lower at full activity than at rest or during limited activity. Arroyave gt_gl_(l96u) investigated the excretion of thiamin and riboflavin by 36 children in a home for poor children in Guatemala City. Initial examinations of their diets diowed deficient intakes 1b of these vitamins according to RDA standards of the National Research Council. As the diets of these children were gradually increased to meet the RDA standard, he observed a three-fold increase in ribo- flavin excretion over a ten-week period. It was interesting, however, that urinary thiamin decreased despite the increased uptake. Because the diets were increased 100% in calories and 65% in carbohydrates, Arroyave theorized that the increased demand for thiamin was greater than the increased thiamin intake. ' Other groups have added to our knowledge of rates of thiamin excretion. Mickelsen and associates (1947) found a linear relation- ship between intake and excretion when the diets were varied to include 0.6, 1.0, 1.8, and 2.0 mg/day of thiamin. Melnick gt §_1_ (1939) noted that the percentage of available thiamin for urinary excretion was a function of how great an excess was present. Mason and Williams (l9u2), Ferrebee gt El (19u2), and Robinson 22 £1 (l9QO) agree that deficient individuals generally excrete less thiamin than normal subjects. Several investigators have studied the relationships between clinically diagnosed thiamin deficiency and urinary excretion levels. Elson gt §l_(19U2) found that human subjects which showed clinical signs of thiamin deficiency on intakes of 0.35 lug/1000 kcal had average urinary excretions of #2 meg/day. Robinson, Melnick and Field's (19Q0) study of thiamin deficient subjects showed that half of the patients had urinary thiamin excretion levels which suggested insufficient intake. Another interesting observation was that six of the seven patients with organic heart disease had low excretion levels. Patients on antacid or achlorhydra medication excreted small 15 small amounts of thiamin even when the diet was adequate. Tanphaichitr and associates (1970) concluded that transketolase activity in ery- throcytes was a better indicator of sub-clinical beriberi in Thailand than was urinary thiamin, but urinary thiamin excretion was useful for surveying large population groups. Variability'gf Riboflavin Excretion There is considerable evidence which relates riboflavin excretion to nitrogen balance in human subjects. Pollack and Bookman (1951) studied riboflavin excretion in normal, injured, and diabetic individuals. Patients in positive nitrogen balance excreted less than 50% of the ingested riboflavin, while patients in negative nitrogen balance always excreted more than 50% of the dietary ribo- flavin. They concluded that most of the riboflavin in the body is probably bound as flavoproteins and that the excess urinary riboflavin in negative nitrogen balance must be due to the breakdown of flavo- proteins. Windmueller 9.2 e_]_._ (196a) also observed increased riboflavin excretion in negative nitrogen balance. Horwitt et_§l (1950) studied varying intakes of riboflavin to assess correlation of urinary excretion with deficiency signs. At excretion rates of less than 50 mcg/day or 27 mcg/gram of creatinine, he observed riboflavin deficiency signs in the adults. Tucker, Mickelsen, and Keyes (1960) examined the influence of several factors on riboflavin excretion. Meals tended to increase, and sleep to decrease, the rate of excretion. During short periods of labor, they observed decreased excretion of riboflavin, but acute starvation and hard physical labor for three and seven days increased the excretion threefold and fivefold, respectively. Diuresis had no 16 effect on riboflavin excretion. Thiamin deficiency alone increased riboflavin excretion. 'When riboflavin and thiamin were both deficient, there was increased riboflavin excretion only after four weeks of deprivation.. Five mg/day of thiamin brought the riboflavin excretion rate to normal. Relationship 22 Vitamins tequeatinine Excretion ‘Timed, Zfl-hour, and test doses of urine are difficult to obtain from population groups; therefore, researchers frequently resort to random specimens. Mason and Williams (19u2) believe that random samples generally give about as much information as test doses. Louhi gt_gl (1952) found that, as with thiamin, assessing riboflavin excretion per gram of creatinine appeared to be quite constant, making it a useful parameter to measure random urine samples collected during population studies. Hegsted gt El (1956) demonstrated that duplicate random samples obtained from individuals are more reliable than single samples. Folin (1905) wrote that ”the chief factor determining the amount of kreatinine [sic] eliminated appears to be the weight of the person." ‘Haterlow’gt_£l (1972) studied the effect of different diets, infection, and age on creatine turnover in rats. Their findings showed that turnover was not affected appreciably by age, sex, or level of creatine intake. The turnover rate was increased, however, by fasting five days and by severe infection. vestergaard and Ieverett (1958) investigated the constancy of urinary creatinine excretion in 18 individuals. Some individuals tended to show fairly constant rates of excretion, while others did not. They also found no correlation between meats eaten and~ creatinine excreted. 17 Groups have examined the advantages of random urine speci- mens for nutrition surveys. Johnson and associates (l9u5) compared fasting specimens, random specimens, and oral loading tests. They concluded that all three tests could be used.we11 together, but that a fasting specimen was preferred over oral load tests and random samples. Plough and Consolazio (1959) also concluded that fasting specimens were more accurate than random samples. Kelsay (1969), Pearson (1962), and Stearns gt a; (1958) all stressed the need for using separate interpretative guides of thiamin and riboflavin status for children since children tend to excrete lower levels of creatinine, and urinary thiamin per gram of creatinine appeared to be higher for children than for adults. CHAPTER III EXPERIMENTAL PROCEDURES Urinary excretion of thiamin and riboflavin by family members , and the nutrition knowledge of the homemakers were the methods used to describe the nutritional status of newly-enrolled Expanded Nutrition Program families. This-chapter deals with the selection of the sample families, the instruments used, and the collection and analysis of the data. Selection of the Sample A sample of 176 newly-enrolled families was obtained from four randomly selected Michigan counties: Lenawee, Saginaw, St. Joseph, and.Hayne. The sample was randomized by including each consecutively enrolled family within a specific time period. The time period within a specific county began when the researcher started collecting data in that county and ended when that county’s quota of families was reached. The county quota was equivalent to six times the number of full-time aides. Instrument Characteristics of families, the homemaker's Zu-hour food recall, and information about households were obtained by the nutrition aide on her initial visit to enroll the homemaker in the Expanded Nutrition and Family Programs (ENFP). This information is required 18 19 by law of new families and is recorded on a special form (Appendix A). To minimize the length of the interview and to avoid redundancy, this information was copied . Two interviews were required to collect data. on the first interview random urine specimens were collected from available family members, as well as additional information about the, family, such as grocery shopping practices (Appendix B). During the second interview, the homemaker's responses to various statements dealing with nutrition knowledge were obtained (Appendix C). The questionnaires were pre-tested on low-incom families priorto actual data collection. Because of the large number of Spanish-speaking families enrolled in the program, the questionnaire was translated into Spanish. Preparation for Data Collection Researchers were trained in a specific interviewing procedure (appendix D). All the researchers visited the county staffs before initiation of data collection. During these visits county Extension personnel learned about the project. In a later session with the ’ aides and Extension Home Economist, the project was explained in detail through role-playing involving the aides . Nutrition aides were asked to enroll families in their usual manner, except to ask the hommaker for permission to bring someone else on her second visit. The aides were asked not to explain the evaluation project in any way. Data Collection Data collection began in November of 1972 and continued through early April, 1973. 20 A researcher collecting biological data accompanied the aide on her second visit to the homemaker. The researcher explained the evaluation project to the homemaker and obtained her permission to be included (Appendix E). All available family members were provided with plastic cups in which to collect urine specimens. The specimens were tested imdiately for hemoglobin, ketones, glucose, albumin, and pH using Labstix Reagent Strips, produced by the Ames Company, division of Miles Laboratories. Positive tests were referred to physicians using an explanatory referral slip (Appendix E). The urine was bottled in brown bottles and acidified with l N HCl at 5 ml HCl per 50 m1 ‘ urine. 1 Samples were brought back to the university and frozen immediately until they could be analyzed. The urine specimens were, analysed for creatinine, thiamin, and riboflavin using a To chnicon Auto-Analyser with pump number one. Technicon Auto-Analyzer method N-llb I/II was used for creatinine. Thiamin was analyzed using Leveille's (1972) method as modified and automated by Romsos (1973) and Kirk (1973). Riboflavin was determined according to Kirk's automated method (1973). The urinalyses were run by a university technician. The thiamin and riboflavin levels were calculated as micrograms of vitamin per grameof creatinine. To describe the vitamin adequacy levels, the subjects were divided by age group and compared to the ICNND (1963) standards for that age group. The homemaker was asked several questions concerning the family's use of vitamin supplements, her grocery shopping practices, and available cooking equipment (Appendix B). Information on family 21 income, family size, education of the homemaker, the homemaker's zu-hour food recall, and other pertinent information was obtained from the aide's enrollment sheet (Appendix A). On the aide's third visit to the homemaker, a second researcher accompanied her to obtain attitudinal information related to the homemaker's knowledge of nutrition. Each statement was read to the homemaker, and she responded by either disagreeing strongly or mildly or agreeing strongly or mildly (Appendix C). Analysis gleata Data from 176 families were examined. Due to incomplete data for some of the families, N varied from one set of data to another. Demographic data included residence location, age and ethnic background of the homemaker, family size and income, aid received by the family, grocery shopping variables, use of vitamin pills, and availability of equipment and utilities for food preparation. For analysis of the participation of children and families in school lunch programs, families without school-age children were excluded. Homemakers were grouped into three educational categories: eighth grade or less; ninth through twelfth grades; and beyond high school. For correlation purposes, these were assigned values of one, two, and three in order of ascending educational levels. For analysis of the adequacy of the homemakers' 24-hour food recalls, the diets were compared to the Basic Four adult standard: two servings from the meat group; two from the milk: four from the fruit-vegetable group: four from the bread-cereal group daily} If a food group was adequate in a homemaker's diet, it was assigned a score of one; if it was inadequate, a score of zero. This information was 22 used to describe the adequacy of individual food groups. Scores from each food group'were totalled, so that a homemaker receiving a score of four had a diet meeting the Basic Four standard. A score of two or three indicated she met two or three out of four of the food groups}. Ratings of "A", ”B", "C", "D", and "B" were assigned to diets which met four, three, two, one, and zero out of four food groups, respectively.- In an effort to determine the degree of inadequacy, the diets were also scored according to their meeting one-half the Basic Four adult standard, i.e., one serving from the meat group, one from the milk group, two from the fruit-vegetable group, and two from the bread-cereal group. If a homemaker met one-half the recommended number of servings for each of the four food groups, the diet was assigned a rating of "A/Z". Similarly, if the diet met one-half the recommended number of servings for three, two, one, and zero of the four food groups, the diets were assigned ratings of "B/2", "C/Z", "D/Z", and "E/Z", respectively. The nutrition statements were evaluated by the researcher and her major professor by designating the most appropriate response to each statement. This response was assigned a value of four. The most appropriate response is underlined in Appendix C. The other responses were assigned values of three, two, and one in descending order of appropriateness. The statements were also analyzed separately, 'with a compilation of the number of homemakers responding "strongly agree, mildly agree, mildly disagree, and strongly disagree" to each statement. ' A correlation matrix was computed from all possible pairs of six variables: family'income in dollars; homemaker's educational 23 level; adequacy of 24-hour food recall; her levels of thiamin and riboflavin excretion; and her score on nutrition information interview. 7 Data'for all the variables of the correlation matrix were complete for only 121 homemakers. The reasons for such a reduction from 176 families include missing data on the aide's enrollment form, the inability or unwillingness of the homemaker to provide a urine specimen, incomplete information on the urinalyses, and lack of the honemaker's participation in the second interview. Calculations were run on the Control Data Corporation (CDC) 6500 model computer, utilizing programs written by the research unit 'within the College of Human Ecology at Michigan State University. CHAPTER IV RESULTS Description 9_f_‘ M33 The largest number of homemakers lived in an urban area and had at least some high school education (Table 1). Nutrition aides record the educational level of the homemaker by category, as described previously, but it might have been more meaningful to know the average grade completed by the homemakers, rather than knowing that the majority'had some high school education. The ethnic background of the homemaker showed a greater number of white than of black or of Spanish Americanhomemakers (Table 1). Yet there were about as many Spanish American and black homemakers combined as there were white homemakers. The majority of these families were receiving assistance through the welfare program, including Aid to Dependent Children and Aid to Dependent Children of the Unemployed, and through use of food stamps (Table 2). Most of the families receiving welfare also received food stamps, but there were some families who did not receive both. ’ The homemakers ranged in age from 16 years to 70 years, with a mean age of almost 29 years (Table 3). Approximately two-thirds of the homemakers were within the age range of about 19.5 years and 38.5 years. 24 25 ' Table 1.--Residenoe, ethnic background, and education of the honemaker Number i A. Residence (N=l76) ' Urban 149 84.7 Rural non-farm 26 14.8 Farm 1 .5 B. Education (N=171). No information 1 .6 Eighth grade or less 32 18.7 Ninth-twelfth grades 131 76.6 Eyond high school 7 “.1 C. Ethnic background (N=l75) Caucasian 86 49.1 Negro 56 32.0 Spanish Anrican 29 16.6 Oriental 1 .6 .Anrican Indian 2 1.1 01:11.1. 1 06 Table 2.--aid received by family (N=17u) Number % Yes No Yes A No USDA/FHA Assistance 7 166 4.0 96.0 Welfare 9'? 77 55.8 154.2 Social Security 10 161» 5.7 9+.3 Other 9 163 5.2 94.8 26 . The family size varied from one to twelve members, with the mean family size of 4.5 (Table 3). The family income per month varied widely as shown by the range and standard deviation. Two-thirds of the families had incomes between $200 and $514 per month. Table 3.--Age of homemaker and family size and income per month N Min. Max. Mean Std. Dev. Age 165 16 70 28.9 9.6 Family size 176 l 12 4.5 2.2 Income/month 165 $20 $1000 $357.76 $157.58 The appearance of some families whose income was above the poverty level is explained by the fact that the majority of the aides from.one county were employed under Emergency Employment Act funds. They may not have been restricted to families of a certain income bracket, even though they received guidance and administrative services through the Expanded Nutrition Program. Only slightly more than half of the families with school-age children had at least one child participating in the school lunch program (Table 4). For those with school-age children who did not participate in school lunch, it is not known whether or not the lunch program was available to them. Table 4.--Participation in school lunch Number % A. Families with school—age children (N=69) At least one child in school lunch 39 56.5 No children in school lunch 30 43.5 B. Children in school (N=209) Children in school lunch 119 56.9 Children not in school lunch 90 43.1 A 27 The majority of the homemakers appeared to have adequate cooking facilities (Table 5). Stoves, working ovens, refrigerators, electricity, and running water were each present in homes more than 95% of the time. A freezer was counted only when it was a completely separate unit from the refrigerator, which excluded all refrigerator- freezer combination units. The presence of a piece of equipment, such as an electric frying pan or a hot plate, does not mean that it was used by the homemaker; it only indicates that it was available to her in her home. Table 5.--Food preparation equipment and utilities available to homemaker (N=164) Number % Yes No Yes No Electricity‘ 164 0 100.0 0.0 Running water 161 1 99.4 .6 Refri rator 162 1 99.4 .6 Stove range 163 1 99.4 .6 Oven , 156 6 96.3 3.7 Electric frying pan 56 98 36.4 63.6 Freezer 30 118 20.3 79.? Hot plate 10 137 6.8 93.2 Icebox 2 120 1.6 98.4 Other 9 98 8.4 91.6 Food Purchasing Practices The grocery shopping information revealed that the homemaker herself did most of the food buying and that she preferred to buy at a supermarket most of the time, although there was occasional use of small, neighborhood stores (Table 6). The majority of the homemakers were able to shop within five miles of their homes. A car, owned by the family or some relative or friend, was the most frequently used transportation. 28 Table 6.--Grocery shopping data (N=163) A. Person doing the shopping Mother alone 139 Father alone 8 Children alone 0 Other relative 3 Non-relative 1 Mother & father tOgether 9 Other combination 3 B. Favorite grocery store Supermarket 159 Small neighborhood store 3 Specialty food store 0 Other 1 C. Second choice grocery store Supermarket 82 Small neighborhood store 60 Specialty food store 8 Other 13 D. Distance from favorite store Less than 1 mile 57 1-5 miles 76 Greater than 5 miles 30 E. Transportation for grocery shopping Family car 84 Neighbor, friend, relative's car 58 Walk 13 Taxi 6 Bus 2 75 29 The homemakers were asked to state two factors, if possible, that influenced their food purchases° The homemakers reported verbally. The researcher categorized these into the groups listed in Table 7. Since the homemakers did not necessarily state their responses in the order of importance, both decisions of 163 responding home- makers were grouped to compile Table 7. In a few cases the homemakers were only able to indicate one factor; therefore, there were only 305 decisions rather than 326. The cost of the food and family preference were mentioned most frequently, and accounted for almost 50% of the responses together. Needing a food item and nutritional value together repre- sented almost 25% of the responses. The author considers it surprising that convenience of preparation was mentioned by only three individuals. Table 7.--Factors influencing food purchases (N=305 - Number 1 Cost--I can afford it 80 26.2 The family likes it 71 23.3. I'm out of it/need it 38 12.5 Nutrition--it's good for us 34 11.2 It's on my grocery list 20 6.6 It's on sale 16 5.2 It's a specific brand 8 2.6 It's a new product I wanted to try 6 1.9 Convenience--it's easy to prepare 3 1.0 It's in season 0 0.0 Other 21 6.8 8 2.6 No decision Homemakers were also asked if they had a vegetable garden of their own. Their response was not considered "yes" unless they had grown some vegetables during the previous summer at their own home. 30 If they were planning on having a garden or had used produce from a relative's garden, their response was considered "no", since there was some question about the availability of food from others" gardens, and since best intentions for planting a garden do not always come to fruition. Of 160 responses, 24 or 15% of the homemakers had a garden, and 136 or 85% did not. . Homemakers' 24-Hour Food Recalls The food recalls were analyzed first on adequacy of individual food groups (Table 8). The meat group was adequate more frequently than any other food group. This was particularly noteworthy, considering the rising meat costs at the time of the research. The fruit-vegetables group was most frequently inadequate. Table 8.--Adequacy of food groups from.24-hour food recalls (N=l74) Number Adequate Inadequate Adequate Inadequate Meat 119 55 68.4 31.6 Milk 40 134 23.0 77.0 Fruit-vegetables 23 151 13.2 86.8 Bread-cereal 44 130 25.3 74.7 The diets were next analyzed on the basis of total adequacy for each homemaker (Table 9). Homemakers were grouped on the basis of how many of the four food groups in their diets met the Basic Four standard. Only'3.5% of the homemakers reported diets in which all of the four food groups were met ("A" rating). The majority of the homemakers (42.5%) had food recalls that met recommendations for only one of the food groups ("D" rating). Dietary recalls rated "B", "C", 31 and "E" met recommendations for three, two,and none of the food groups, as described in Chapter III, "Analysis of Data". Table 9.-—Homemakers meeting basic four standard (N=l74) Number of Food Rating Number of % Cum. % Groups Met Homemakers ’4 Of a A 6 305 305 3 of 4 B 16 9.2 12.7 1 of 4 D 74 42.5 78.2 0 of44 E 38 21.8 100.0 Looking at the diets of those who met the minimum requirements for three or two of the food groups ("B" and "C" rated diets) revealed that, in both cases, the fruit-vegetable group was most frequently inadequate. The milk group was adequate more often that the fruit- vegetable group, but less often than the meat group or bread-cereal group (Table 10). Table 10.--Dietary information on those meeting two and three of the Basic Four food groups Number % Adequate Inadequate Adequate Inadequate A. Three groups not (N=16) (B rating) Meat 16 0 100.0 0.0 Milk 12 4 75.0 25.0 Fruit-vegetable 5 11 31.2 68.8 Bread-cereal 15 1 93.8 6.2 B. Two groups not (N=40) (C rating) Meat 36 4 90.0 10.0 Milk 16 24 40.0 60.0 Fruit-vegetable 10 30 25.0 75.0 Bread-cereal 18 22 45. O 55. O 32 In an effort to further describe dietary inadequacy, the 24-hour food recalls were examined to determine whether or not they met one-half the Basic Four standard, as described under "Analysis of Data", Chapter III. Only 25% had an A/2 rated diet, 1.6.. one serving of meat or meat substitute, one serving of milk, two servings of fruit-vegetables, and two servings of bread-cereals (Table 11). On the basis of what the homemakers reported their previous day's food intakes had been, the diets appear to be grossly inadequate. Table ll.--Homemakers meeting one-half or more Basic Four standard (N=l7u) Number of Food Rating Number of % Cum. % Groups Met Homemakers 4 of u A/2 44 25.3 25.3 3 of’4 B/2 71 no.8 66.1 2 of’4 C/2 37 21.3 87.4 l of # D/2 18 10.3 97.7 O of’# E/Z 4 2.3 100.0 Results of Biochemical Analysis Urine Specimens were collected from family members who were available. As a service to the family, these samples were tested immediately at the home for hemoglobin, ketones, glucose, protein, and pH. Out of 324 samples, only two tested positively for glucose. These were referred to physicians for further examination. The urine samples were brought back to the university where they were analyzed by a technician for thiamin, riboflavin, and creatinine. Thiamin excretion levels per gram of creatinine were compared by age group to ICNND standards (Table 12). All urinary thiamin levels, 33 except one adult, were judged to be acceptable or high. By far the majority of samples fell within the range "high" (97.2%). Table 12.--Thiamin excretion levels by age group (based on ICNND standards of adequacy) Age in Years Deficient Low Acceptable High 1-3: (N=54) Number 0 O 4 50 Percent 0.0 0.0 7.4 92.6 h-6: (N=58) . Number 0 O 2 56 Percent 0.0 0.0 3.“ 96.6 7-9: (N=24) Number 0 0 0 24 Percent 0.0 0.0 0.0 ' 100.0 10-15: (N=27) Number 0 0 l 26 Percent 0.0 0.0 3.7 96.3 16 & older (N=l6l) Number 0 l l 159 Percent 0.0 0.6 0.6 98.8 Total number 0 l 8 315 Total percent 0.0 0.3 2.5 97.2 All age groups showed a wide range of levels, but the age group 10-15 years exhibited the narrowest range. There were, however, a small number of samples (27) from this age range (Table 13). Table 13.--Thiamin excretion levels (mcg/gram of creatinine) Age in Years Min. Max. Mean Std. Dev. 1-3 (N=54) 232 13537 2302 2176 u-6 (N=58) 216 684a 1821 1362 7-9 (N=24) 431+ 8030 1809 17111 10-15 (N=27) 233 2997 1162 717 16 & older (N=161) 6M 8712 . 900 l3h2 Riboflavin excretion levels were assessed by age group smallest sample. Table l4.--Riboflavin excretion levels by age group (based on ICNND standards of adequacy) Age in Years 1-3:' (N=5”) Number Percent 4-6: (N=58) Number Percent 7-9: ' (N=24) Number Percent 10-15: (N=27) Number Percent 16 & older (N=161) Number Percent Total number Total percent 34 according to ICNND standards (Table 14). Deficient 12.9 3.5 0.0 14.8 13 8.1 26 8.0 A total of 8.0% of the Low 11 20.4 15 25-9 37-5 26.0 25 15.5 20.? only group not showing a deficient subject, but it was also the Acceptable. 15 27.8 10.3 29.2 14.8 70 43.5 102 31.5 individuals showed deficient levels, with 20.7% showing low levels. In other words, over one-fourth of the sample population showed low or deficient levels of riboflavin. The 7-9 years age group was the High 21 38.9 35 60.3 33.3 12 44.4 53 32.9 129 39-8 35 The 7-9 year old group exhibited the narrowest range for riboflavin excretion. Two individuals in the youngest and oldest age group showed very high levels of riboflavin, probably the result of using some vitamin supplement (Table 15). Table 15. Riboflavin excretion levels (meg/gram creatinine) Age in Years Min. Max. Mean. Std. Dev. ‘ 1-3 (N=5u) ' 16 17927 1638 2753 4-6 (N=58) 18 8242 1503 1994 7-9 (N=24) 116 4444 ~ 656 885 1g-15 (N=27) 26 7005 716 1353 l & . older (N=l6l) 5 20749 504 1757 The homemakers were asked if any family member had been using some vitamin pills recently. Although the data does not show which family members were using them, the information does tell that in '69 (42.3%) of the families, there was at least one person using some vitamin supplement. Nutrition Knowledge The homemakers were interviewed regarding their knowledge of nutrition. 0n the basis of a score of four for the most appropriate answer, and descending numbers to one for the least appropriate answer, each homemaker's responses were evaluated. The mean score was 67.86%, with a range from‘49% to 92% and a standard deviation of 7.67%. The responses were also examined individually to see what per- centage of homemakers responded appropriately to each statement. I Statements.evaluated inappropriately by 75% or more of the home- makers are listed in Table 16. 36 Table l6.--Nutrition statements missed by 73% or more of the homemakers (N=l63) Statement Number 17 19 22 21 l8 15 % Approp. Responses 6.75 7.96 7.97 11.66 14.11 14.72 15.95 17.79 17.79 20.86 22.09 24.54 Statement Adults should avoid fat in their diets in order to prevent heart diseases and strokes. Lemonade and orange juice have about the same amounts of vitamin C. Gelatin desserts are a good source of protein. School-age children need to have vitamin pills every day for good health. Eating bacon for breakfast is a very good way to get the protein that is needed for the day. Apples have a lot of vitamin C. A reducing diet should not contain bread or potatoes. Most fat children and adults have a problem with their glands. Milk is needed mainly by infants and growing children. Eating cheese causes constipation. Healthy, active young children need some sweets, such as candy or cake, each day for energy. Adding soda while cooking vegetables and dried beans makes them easier to digest. Eating carrots helps a person see better. 37 Nutrition statements answered appropriately by 75% or more of the homemakers are listed in Table 17. Table l7.--Nutrition statements answered appropriately by 75% or more homemakers (N=l63) A Statement % Approp. Number Responses Statement 1 92.03 Meat, milk, and eggs all have lots of nutrients which are needed for the growth of small children. 13 ' ' 88.96 Year-old babies should eat different kinds of foods, since drinking only milk may not be enough for growth. Correlations Six.variables were correlated with each other in all possible , pairs: income; education; adequacy of diet; thiamin; riboflavin: and nutrition information score, as described in Chapter III, "Analysis of Data". Nutrition information and educational level showed a slight positive correlation (Table 18). Thiamin and riboflavin also showed a positive relationship. The correlation between educational level and nutrition know- ledge was significant at the .01 level using regular two-variable tables. Using tables designed for six variables, the correlation was not significant. The correlation between thiamin and riboflavin levels was significant at the .05 level using a six-variable table. It was significant at the .01 level using regular two-variable correlation tables which do not adjust for randomization due to six variables. 38 Table 18.--Correlations between six variables Income 1.0000 Educ. -.0975 1.0000 Diet -.0701 .0334 1.0000 Thia. -.0363 -.0086 .1102 1.0000 Ribo. .0320 .0585 .0762 .3316 1.0000 Nutr. Sc. .1051 .3035 .1341 .0027 .1825 1.000 Income Educ. Diet Thia. Ribo. Nutr. Sc. CHAPTER V DISCUSSION The target audience of the Expanded Nutrition Program is low-income families with young children. The percent distribution of the families among ethnic groups appears to be consistent with the Michigan Nutrition Survey (1971) for white families (49.1%) and the 1967 Bureau of Census, which reported one-third of the poor families are black. Over one-half of the families (55%) in this study were receiving public assistance. Although the data is inconclusive regarding the average age of children in the families, the average family size (4.5 members) and the average age of the homemaker (29) would seem to indicate there were young children living at home. Nutrition aides often report limited cooking and food storage facilities. The data indicate that this is apparently not a major problem with Michigan families. The Rural Electrification Program in Michigan may account for the presence of electricity in 100% of the families surveyed. Mothers receiving Aid to Dependent Children (ADC) assistance are also eligible to be furnished with a refrigera- tor. Many of the homemakers may be taking advantage of this provision. The homemaker herself does, by far, the majority of the food shopping. Nearly 98% were able to shop at a supermarket. The small, expensive neighborhood stores were a second choice for only 37% of 39 40 the homemakers. This suggests that the low-income homemakers may not be limited to buying in their own neighborhood, a problem poor families sometimes face (Meyers, 1970). This was further verified by the use of the family car or a friend's car by 87% of the home- makers for grocery shopping. It would appear that these homemakers were relatively free to shop where they wished. The availability of a family car or friend or relative's car for grocery shopping would also seem to refute the idea that these homemakers were home-bound. The limited participation of low-income families in group meetings is probably not due to trans- portation problems, but to other factors. Cost was the primary factor in influencing food purchases, followed by family preference. Being "out of" a certain food was mentioned third most frequently. These data imply that homemakers may be limiting their food purchases to familiar items, seldom experimenting with a new food or new method of preparation. Meyers (1970) suggested that low-income homemakers may be limited in their knowledge of how to use certain foods. Trying a new product was. mentioned as influencing food purchases by only 2% of the homemakers. Low-income families have difficulty taking advantage of seasonal sales (Meyers, 1970). None of the homemakers surveyed mentioned the seasonality of food as an influential factor. Only 1% of the homemakers stated convenience as a factor in food purchasing, although Seoane's (1971) study of shopping practices of EFNEP families indicated wide use of convenience foods. It may be that the homemakers surveyed in Michigan were also making wide use of convenience items, but were not considering them as such. 41 Analysis of the homemakers' 24-hour food recalls indicated agreement with other studies of low-income families. The examina- tion of diets of EFNEP families by the USDA Economic Research Service (1972) also indicated inadequate use of these feed groups. Because of the limited use of milk and fruits and vegetables by . these homemakers, one would expect the diets to be most limiting in vitamins A and C and the minerals iron and calcium. These nutrients were also seen to be most limiting in American diets by Morgan (1959), Brown 6.2 g; (1970), and Hardy at 31 (1943). These families appeared to have acceptable thiamin excretion levels. This was surprising in that the Michigan Nutrition Survey (1971) showed unacceptable thiamin levels for 6% of the population. The mean levels of thiamin were higher in each age group of this study than in each age group of the Ten-State Nutrition Survey (1972). Meyers 23 51 (1968), Erin gt 2; (1965), and Tzeng (1971) also found unacceptable thiamin excretion levels in their population groups. Owen gt 3;]; (1969) did not find unacceptable levels. The riboflavin excretion levels of over 25% of the sample were low or deficient. This high prevalence of low and deficient values is surprising because riboflavin levels in other studies were either acceptable or less deficient than thiamin (Meyers gt_gl, 1968: Owen 22 21, 1969; Brim gt_gl, 1965: Tzeng, 1971; McGanity, 1969). The Ten-State Nutrition Survey (1972) revealed that there were riboflavin deficiencies among blacks and among young people of all ethnic groups. The mean levels of riboflavin excretions in each age group were more than those found by this study; The Michigan Nutrition Survey (1971) showed overall 14% deficient riboflavin 42 excretion levels. It would appear that the very low riboflavin excretion levels for so many individuals may be due in part to lower milk consumption. There are few comparable studies with which to compare the homemakers' responses to the nutrition statements. Cornely gt 31 (1963) did find that education of the respondent was closely related to rejection of folk beliefs. Although the correlation between education and nutrition score in this study does not appear to be highly significant, this may have been due to the grouping of homemakers into three educational categories, as explained previously. It should also be mentioned that although less than 25% of the homemakers responded appropriately for 13 of the 25 statements, in several cases a large percentage gave a reaponse very close to the appropriate one. This was true for the statement, "Adding soda while cooking vegetables and dried beans makes them.easier to digest", for which 58% responded either mildly or stronglyjdisagree. The response "mildly disagree" was considered most appropriate for the statement, "Milk is needed mainly by infants and growing children". Although only 18% responded in this manner, 33% strongly disagreed. One would have expected educational level to correlate with dietary adequacy (Morse gt El! 1967; Hinton gt_gl, 1963; Hendel gt 21, 1965; Eppright 22 El: 1970).. There is some evidence, however, that education may not always be related to dietary adequacy or nutrition knowledge (Young gt_gl, 1956). It was not surprising that income did not correlate with dietary adequacy since other studies have shown this lack of relationship (Young 23 31, 1956; Hiemstra, 1972; Fryer 23 31, 1971). 43 Limitations 2: the Present Research 1. The inadequacies of the dietary recall have been examined in the introductory chapter. It was also observed by the author that different nutrition aides used somewhat different approaches in obtaining this data. In some cases, the aides were careful to secure information regarding snacking; in other, cases, they were not. Nevertheless, the data obtained concur with other studies. 2. The 24-hour food recall data does give some information regarding the homemaker's food intake, but it provides only a limited picture of the children's and other family members' food intakes. It mqy be valid to assume, however, that if the homemaker's diet is adequate, other family members are likely to have adequate diets. 3. A picture of family nutriture has been obtained for the vitamins thiamin and riboflavin. Since vitamins A and c and the minerals iron and calcium are most frequently lacking in American diets, it would have been desirable to obtain this information. Since this would have involved a blood sample, it is doubtful that the high percentage of cooperation would haveresulted. 4. Responses to the nutrition statements represent attitudes of these homemakers. Although there are some responses which seem more appropriate than others, the statements do not imply strictly "right or wrong" answers. There is little with which to compare 3 the results. The nature of homemakers' responses suggest that a statistical analysis of deviation from the appropriate response might be very meaningful. be, Sums}: an_d Conclusions This study has provided a picture of the nutritional status of low-income families and nutrition attitudes of low-income home- makers as they enter the Expanded Nutrition Program. It has also revealed cone of the food shopping practices of these fanilies. I The families did not appear to be restricted to purchasing food in expensive, neighborhood stores, nor were they limited in food preparation facilities. The homemaker herself did the majority of the grocery shopping, and she most frequently chose to shop at a supermarket. She was influenced by cost, family preference. needing a food item, and nutritional value. The diets of these homemakers appeared to be grossly inadequate as measured by the 24-hour food recalls. Despite rising neat costs, the majority of the. homemakers consumed the recommnded amount of meat daily. Milk and fruit and vegetable consumption wasseriously low. _ The family nutriture with regard to thiamin appeared to be satisfactory. Riboflavin intake, however, seened to be. a problem for over one-fourth of the individuals. This may be a reflection of limited milk consumption. - ‘ I The responses to the nutrition statements revealed that these horn-alters had limited knowledge of nutrition. There is a great opportunity for nutrition aides to expand the homemakers ' knowledge a 45 Suggestions for Future Research This study provided a picture of the Expanded Nutrition Program families as they entered the program. Since the objective of the program is to change the homemakers' nutrition practices and knowledge, it is recommended that these families be re-surveyed after an interval of six to nine months to assess change. Such a re-survey is being included in a larger study. Since the focal point of the Expanded Nutrition Program is low-income families and families with young children, it is recom- mended that the income for each family be examined in terms of size and sex of head of household to determine how many of the families are at or below the poverty level. Grouping the families by ages of children would provide a picture of the number of families with pro-school children. The school lunch program has improved the nutritional status of children in low-income areas (Schaefer, 1969; Callahan, 1971). Determining the availability of a school lunch program would provide 4 direction to nutrition aides as they seek to help the homemakers improve their families' diets. BIBLIOGRAPHY “5 Suggestions for Future Research 3 ’_ This study provided a picture of the Expanded Nutrition . . Program families as they entered the program. Since the objectiveu of the program is to change the homemakers' nutrition practices and knowledge, it is recommended that these families be re-surveyed after an interval of six to nine months to assess change. Such a re-survey is being included in a larger study. ' . Since the focal point of the Expanded Nutrition Programis low-income families and families with young children, it is recom- mended that the income for each family be examined in terms of g ‘ size and sex of head of household to determine how many of the ‘ fhmilies are at or below the poverty level. Grouping the families by ages of children would provide a picture of the number of _ fhmilies with pro-school children.‘ - ' The school lunch program has improved the nutritional status of children in low-income areas (Schaefer, 1969; Callahan, 197l).. ' hetermining the availability of a school lunch program would provide . direction to nutrition aides as they seek to help the homemakers improve their families' diets. BIBLIOGRAPHY Allen, Donald E., Z. J. Patterson, and G. L. warren. Nutrition, family commensality, and academic performance. J. of Home Eco 62: 333-337. 1970- Arroyave, G., M. Flores and M. Behar. The effect of a controlled increment in dietary nutrient intake on blood and urine bio- chemistry in children. Am. J. Clin. Nutr. 15: 331-340, 196“. Beal, V. A. Dietary intake of individuals followed through infancy and childhood. Am. J. of Public Health. 51 (8): 1107-1117, 1961. Beal, V. A. The nutritional history in longitudinal research. J. Am. Diet. ASSOC. 513 426432, 1967. Beal, V. A. Nutritional intake of children. III. Thiamine, riboflavin and niacin. J. Nutr. 57 (2): 183-192, October, 1955. Erin, Myron, M. V. Dibble, A. Peel, E. McMullen, A. Bourquinn, and N. Chen. Some preliminary findings on the nutritional status of the aged in Onandaga County, New York. Am. J. Clin. Nutr. 178. 2&0-258, 19650 Brown, M. L., D. S. Smith, J. L. Mertz, H. M. Hill, and S. F. Adelson. 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Assoc. 19: 173-181, 1943. Hendel, G. M., M. G. Burk, and L. A. Lund. Socioeconomic factors influence children's diets. J. Home Ec. 57 (3): 205-208, 1965. Hegsted, D. M., S. N, Gershoff, M. F. Trulson, and D. H. Jolly. Variation in riboflavin excretion. J. Nutr. 60: 581-597, 1956. l+8 Hiemstra, Stephen J. Evaluation of USDA food programs. J. Am. Diet. Assoc. 60: 193-196, 1972. Hinton, Maxine Armstrong, E. S. Eppright, H. Chadderdon, and L. Wolins. Eating behavior and dietary intake of girls 12-14 years old. J. Am. Diet. Assoc. 43: 223-227, 1963. Ho, Claire and myrtle L. Brown. Food intakes of infants attending well-baby clinics in Honolulu. J. Am. Diet. Assoc. 57: 17-21, 1970. HorHitt, M. K., C. C. Harvey, O. W. Hills, and E. Liebert. Correla- tion of urinary excretion of riboflavin with dietary intake and symptoms of ariboflavinosis. J. Nutr. 1+1: 21:7-26h, 1950. Huenemann, R. L. and D. Turner, Methods of dietary investigation. J. Am. Diet. Assoc. 18: 562-568, Sept., 1942. ' Hunscher, H. A. and I. G. Macy. Dietary study methods. I. Uses and abuses of dietary study methods. J. Am. Diet. Assoc. 27‘ 558-563: 19510 Interdepartmental Committee on Nutrition for National'Defense. Manual for Nutrition Surveys. Wash., D. C. : U. 3. Government Printing Office, 1963. ' Johnson, R. E., C. Henderson, P. F. Robinson, and F. C. Consolazio. Comparative merits of fasting specimens, random specimens and oral loading tests in field nutritional surveys. J. Nutr. 30: 89-98, 1945. Kelsay, J. L. A compendium of nutritional status studies and dietary ' evaluation studies conducted in the U. S., 1959-1967. J. Nutr. . 99 (1), Supplement 1, Part II, 1969. Kirk, Jams R. Automated analysis of thiamin, riboflavin, and niacin in milk and food products. J. Dairy Sci. 56: 637, 1973. Krehl, W. A. and R. E. Hedges, The interpretation of nutrition ‘ survey data. Am. J. Clin. Nutr. 17: 191-199, 1965. Ieveille, Gilbert A. Modified thiochrome procedure for the deter- mination of urinary thiamin. Am. J. Clin. Nutr. 25: 273-27“, March, 1972. ' Leverton, R. 'M. Rose's foundations for nutritional evaluation. Jo Ania Diets Assoce 37: 553-557! 19600 Louhi, R. A., N. In, B. E. Hawthorne, and C. A. Storvick. Thiamine metabolism of womn on controlled diets. I. Daily urinary ' thiamine excretion and its relation to creatinine excretion. J. Nutr. «48: 297-306, 1952. Lowry, O. H. Biochemical evidence of nutritional status. Physiol. Revs. 32: 431-1448, 1952. 49 Lund, L. A. and M. C. Burk. A_Multidisciplinary Analysis 2: Children's Food Consumption Behavior. University of Minn.: Ag. Exp. Station Tech. Bull. No. 265, 1969. Madden, J. P. and M. D. Yoder. Program evaluation: Food stamps and commodity distribution in rural areas of central Penn. Unpublished data from Penn. State Univ., n. d. Mason, H. L. and R. D. Williams. The urinary excretion of thiamine as an index of the nutritional level. Assessment of the value of a test dose. J. Clin. Invest. 21: 247-255, 19h2, Melnick, D., H. Field, Jr., and W. D. Robinson. A quantitative chemical study of the urinary excretion of thiamine by normal individuals. J. Nutr. 18: 593-610, 1939. Meyers, M. L., J. A. Mabel, and F. J. Stare. A nutrition study of school children in a depressed urban district. II. Physical and biochemical findings. J. Am. Diet. Assoc. 53: 23Q-242, 1968. Meyers, Trienah. The extra cost of being poor. J. Am. Diet. Assoc. 62 8 379-38” ' 1970 e . Michigan Nutrition Survey (Preliminary). June 30, 1971. Mickelsen, 0., W. D. Caster, and A. Keyes. A statistical evaluation of the thiamin and pyramin excretions of normal young men on a controlled intakes of thiamin. J, Biol. Chem. 168: 415-“31, 19H7. Morgan, A. F. Nutritional Status, g. §. A. University of Calif.: C‘life Agr. EXP. Station B1111. 769, 19590 Morse, E. H., M. M. Clayton, and L. DeG. COSgrove. Mothers' nutri- tion knowledge. J. Home Ec. 59 (8): 667-668, Oct., 1967. McGanity, H. J. Nutrition survey in Texas. Preliminary findings. Tex. Med. 65: 40-49, March, 1969. Owen, G. M., P. J. Garry, K. M. Kram, C. E. Nelson, and J. M. Montalvo. Nutritional status of Miss. preschool children. Am. J. Clin. Nutr. 22: 1##4-1458, 1969. Pearson, William N. Biochemical appraisal of nutritional status in man. Am. J. Clin. Nutr. 11: 462-496, 1962. Plough, I. C. and C. F. Consolazio. The use of casual urine specimens in the evaluation of the excretion rates of thiamine, riboflavin, and N'-methy1nicotinamide. J. Nutr. 69: 365-370, 1959. Pollack, H. and J. J. Bookman. Riboflavin excretion as a function of protein metabolism in the normal, catabolic, and diabetic human being. J. Lab. Clin. Med. 38: 561-573, 1951. 50 Prichard, Keith, and M. R. Hall. Attitudes of aides and clients in the ExPanded Nutrition Program. J. Home Be. 63: SQS-SHB, 1971. Reese, B. A special study of the Allegheny County (Penna.) Food Stamp Program,winter, 1970. Administrative Report, USDA Ec. ROS. SerVaa 19710 a V . Robinson, W. D., D. Mlenick, and H. Field, Jr. Urinary excretion of thiamin in clinical cases and the value of such analyses in the diagnosis of thiamin deficiency. J. Clin. Invest. 19: 399- 408,]9h0, . ' Romsos, Dale. Personal communication, 1973. Sanjur, Diva and Anna D. Scoma. Food habits of low-income children in northern New York. J. Nutr. Ed. 2(3): 85-95, 1971. Schaefer, A. E. Hearings before Senate Select Committee on nutrition and human needs, January, 1969. Seoane, Nicole A. Shopping practices of low-income groups for con- vsnience fOOdSe Jo Of NUtra Ed. 3 (1)! 28-32' 1971. Sims, Laura snail.‘ Nutritional status of preschool children in relation to selected factors characterizing the family environ- ”ment--an ecological approach. Unpublished doctoral thesis, Mich. State Univ., 1971. Stearns, G.,'L. Adamson, J. B. McKinney, T. Lenner, and P. C. Jeans. Excre ti on of thiamine and riboflavin by children. Am. J. Dis. Child. 953 185-201, 19580 Tanphaichitr, Vichai, s. L. Vimokesant, s. Dhanamitta, and A. Valyasevi. Clinical and biochemical studies of adult beriberi. Am. J. Clin. Nutr. 23 (2): 1017-1026, 1970. Technicon AutoAnalyzer Methodology. Creatinine. Method file N-llb I/II. Tarrytown, N. Y.: Technicon Corp., n.d. Ten-State Nutrition Survey. See U. S. Dept. of HEW. Trulson, M. F. and M, B. McCann.’ Comparison of dietary survey methods. J. Am. Diet. Assoc. 35: 672-676, 1959. Tucker, R. G., O. Mickelsen, and A. Keyes. The influence of sleep, work, diuresis, heat, acute starvation, thiamine intake, and . bed rest on human riboflavin excretion. J. Nutr. 72: 251- 261, 1960. Tzeng, Diana Yu-maan. Nutrition survey of primary school children of Danville, Illinois. Unpublished master's thesis, Urbana, Ill. Univ. of I11. at Urbana-Champaign, 1971. . 51 U. S. Department of Agriculture. Impact gf’thg_Expanded Food and Nutrition Education Program 22 Low-income Families: An Indepth Anal sis. Agricultural .Economics Report No. 220. wash.,D. C.: U. . Govt. Printing Office, Feb., 1972. U. S. Department of Agriculture, Economic Research Service. Program Performance 1971: Expanded Food and Nutrition Program. Penn: Synectics, Corp., May, 1971. U. S. Department of Agriculture, Federal Extension Service. Program Evaluation. January £2_July, 1969. Expgnded Food and Nutrition Education Program. Penn.: Datagraphics, Inc. Nov., 1969. U. S. Department of Health, Education and welfare. Ten-State Nutrition Survey: 1968-1220. DHEW Pub. No. (HSM) 72-8132, vol. IV. Atlanta: U. 3. Dept. of HEW, 1972. Vestergaard P. and R. Leverett. Constancy of urinary creatinine excretion. J. Lab. and Clin. Med. 51: 211-218, 1958. wang, Virginia Li and Paul H. Ephross. Poor But Not Forggtten. Monograph 1. College Park, Md.: Cooperative Extension Service, Univ. of Md., 1970. Waterlow, J. C., R. J. Neale, L. Rowe, and I Palin. Effects of diet and infection on creatine turnover in the rat. Am. J. Clin. Nutr. 25: 371-375. 1972. ‘Windmueller, H. G., A. A. Anderson, and O. Mickelsen. Elevated ribo- flavin levels in urine of fasting subjects. Am. J. Clin. Nutr. 15! 73-76 , 1984‘ e Young, Charlotte M., K. Berresford, and B. G. waldner. What the homemaker knows about nutrition. III. J. Am. Diet. Assoc. 32: 321-326, 1956. APPENDICES APPENDIX A Aide's Family Enrollment Form APPENDIX A Aide's Family Enrollment Form' A. - DESCRIPTION 1. Aide's Name 2. State Number 3. Unit Number Fill Out For Each Family in Unit As Soon As Possible and Every 6 Months Thereafter. Keep in Family File After Review by Trainer - Agent. 4. Family ID Number 5. Date Family Enrolled a. Name b. Street 6. Family Received: c. City d, State a. Food Stamps e. Urban Rural nonfarm Farm b- FOOd Donation ___ -—— "' c. USDA/FHA Assis d. welfare Family'Members Age Male Female Now In Partic. in (First Name) Yrs. School School Lunch (7) (8) (9) (10) (11) Program Last ‘ Week (12) ‘ . (Number of Members ) Totals 13. Highest Grade in School Completed by Homemaker 8th grade or less 9th thru 12th Beyond h. s. 14. Check for homemaker a. White d. American Indian b. Negro or Black e. Oriental c. Spanish Surname f. Other 15. Date Record Completed or Updated 52 53 B. HOMEMAKER FOOD CONSUMPTION,_FAMILY INCOME, AND FOOD EXPENDITURE 1. Food Record Number 2. Date Taken 3. What Did Homemaker Eat and Drink in the Last 24 Hours? To be Filled Out by Aide on Homemaker Trainer Agent Kind of Food and Drink Milk at VBngr.“BrfEer. Morning Midmorning Noon Afternoon Evening Before Bed income for family 11. Totals 1 or more 185t month servings of each $ of four food gr. Yes NO 12. Totals—Z or more servings milk/mid 4 or mere veg/fr & br/cer. Yes No 5. How much did homemaker spend for food last month, including cash and credit? $ (Do not include value of foods received under Family Food Donation or other food assistance programs. If in the Food Stamp Program, include only amount spent to purchase food stamps or coupons.) 6. If in the Food Stamp Program, what was the value of bonus stamps received? $ ATTENDIX B Biological Data Recording Form County Code __ Family ID Number Part IIIe APPENDIX 8 Biological Data Recording Form Familyfilnterview Date __ Time of dry _ Number of prior aide visits to family Has anyone in your family been taking vitamin pills in the last week or so? no information no ____y°5 If so, who has been taking the vitamin pills? no infor- mation YE: No Pre-school children (ages 0-5) I School-age children (ages 6-12) Teen (3) (ages 13-18) Adult (5) (19 and over) Who does the grocery shopping for your family most of the time? no information children mother other relative father non-relative 55 ere do you (or other person) usually shop for your groceries? 3? no information supermarket small neighborhood store specialty food store other (specify) How far away from.your home is this store? no information less than 1 mile 1-5 miles 6 miles or more How do you usually get to the store? no information family car neighbor, friend, relative drives their car walk ‘ {2’ taxi, bicycle other (specify) __g Illlllll Is there any other store where you occasionally buy groceries? no information supermarket small neighborhood store. specialty food store other (specify) 56 When you go grocery shopping, there are many, many different kinds of food you could buy. What kinds of things help you decide what to (Record 2 responses) buy? no information cost-~whether I can afford it I or someone in my family likes it it is on my grocery list I am out of it or need it for something special it is it is it is it is it is it is Iother on sale easy to prepare--convenient a new product someone wanted to try good for us--nutrition in season a specific brand (specify) 57 0950. cede mus»? E 2568. mean 2. Hedwfidcmp Hen—modemfio: ifs Fiancee woe. 8 won >mo masooe z? 5. :38 mesons: E 2868. zoumamwg. E59 253M Eel. New . 9:. >5 . e: 58 County Code Family ID Number Part I. General Family Information Date aide's first visit Check for residence location: no information urban rural non-farm farm other Check for aid received by family: no information Yes No USDA Food Stamps USDA/FHA Assistance Welfare Social Security Other (3 pe cify) Total family income for last month $ Does the family have a garden? Yes No Part II. Homemaker Information Homemaker's age Check for education of homemaker: no information 8th grade or 1633 9-12 grade beyond high school other (specify) Check for background of homemaker: no information Caucasian Negro Spanish American Oriental American Indian Other (specify) Check for homemaker: no information pregnant non-pregnant lactating 59 Homemaker's 24-hour food recall (record actual number of servings) No information __ Meat group _____ Milk group _____.Fruit-vegetable group Bread-cereal group Check for equipment available: no information .122. .E.9_ __ __ Stove/range ______ ______ Oven Hot plate Electric frying pan Freezer Refrigerator Ice box Electricity Running water Other (specify) APPENDIX C Nutrition Information Recording Form l. 10. 11. 12. ‘ 13. 14 . 15. 16. SA SA SA SA SA SA SA SA SA SA SA SA APPENDIX C Nutrition Information Recording Form SD SD SD SD Meat, milk, and eggs all have lots of nutrients which are needed for the growth of small children. When children have enough food to satisfy their appetites, they are getting enough nutrients. Gelatin desserts are a good source of protein. It is better not to have orange juice and milk in the same meal because the orange juice causes the milk to curdle in the stomach. Eating bacon for breakfast is a very good way to get the protein that is needed for the day. School-age children need to have vitamin pills every day for good health. A good easy to lose weight is to skip breakfast. Apples have a lot of vitamin C. Healthy, active young children need some sweets, such as candy or cake, each day for energy. It is best to avoid eating milk and fish together. Adding soda while cooking vegetables and dried beans makes them easier to digest. Dried beans contain many of the same nutrients as meat. Year-old babies should eat different kinds of foods, since drinking only milk may not be enough for growth. White bread and cereals that are enriched are better for both children and adults than those that are not. Eating cheese causes constipation It is important to eat many kinds of foods from day to day. 60 147. 18. 19. 20. 21. 22. 23. 24, 25. SA SA SA SA SA SA SA “5 Ni MD SD SD SD 61 Adults should avoid fat in their diets in order to prevent heart diseases and strokes. Milk is needed mainly by infants and growing children. Lemonade and orange juice have about the same amounts of vitamin C. Peanut butter is a nutritious food for both children and adults. Most fat children and adults have a problem with their glands. A reducing diet should not contain bread or potatoes. Skim milk has about the same amount of minerals and protein as whole milk. Eating carrots helps a person see better. If a person drinks enough orange juice, he won't get a cold. APPENDIX D l. Interviewing Brocedure for Biological Data 2. Interviewing Procedure for Attitudinal Data APPENDIX D-l Interviewing Procedure for Biological Data “Hello! I am ', a graduate student from Michigan State University. "We are adding Something new to the Expanded Nutrition Program. It is something only for new families now being enrolled. It is something you can participate in if you want to, but'you don't- have to. We would like to provide a free mini-health check-up for the new families. We do this with a urine sample. "Now, if you've ever gone to the doctor, he's probably asked you for a urine sample. He probably gave you a cup like this, (show collection cup) for you to collect the urine in. Sen doctors test urine with dip-sticks like these (show Labstix). He dips it into the urine, then checks the colors against those on the bottle here (show chart on bottle). "This tells him a few things bout your general health: it doesn't tell him everything. One thing it does check for is sugar, though. It also tests for blood in the urine. "This urine test is very quick and easy to do. We can do it right here in your home and tell you the results right away. We feel it is a very good thing to'have done. Would you be interested in participating in this mini-health check? (Pause) Do you have any questions? (Pause) I “After we test the urine here, we would like to take the sample back to Michigan State University and there we'll check it for certain vitamins. Your sample will be given a number so no one will know it's yours. We want to get an idea of how well families in the 62 63 Expanded Nutrition Program are getting these vitamins. We hope this will help us make the program better for you and other families. Do you have any questions? "I would also like to weigh and measure your preschool children, and I have just a few questions for you. "Next week when the aide comes, she'd like to bring another ' girl with her. This girl will bring a series of statements about things like nutrition, children, and education. These are statements that people have many different opinions about. There are no right and wrong answers; she'll just be interested in learning how you feel about these things. Do you have any questions? "The information which you give us will be combined with that from other families, but it will never be identified as coming from a particular person by name. We are interested in ggggp information. After you hhve worked with the aide for about 9 months or so, I would like to come back and visit with you again. Would you like to participate in our project? (If 'yes', proceed.) "I have to show my supervisor that I was here and have your permission to do this. I'll read this statement (read permission slip.) Since you want to participate, would you please sign here? I'll have the aide sign also." APPENDIX D-z Interview Procedure for Attitudinal Data "We are interested in knowing what you think or feel about some things. These are things that a lot of people have different ideas about, but that doesn't mean that any of them are right or wrong. For example , you and your neighbor or best friend may not agree about many of them: what we really want to know, then, is what m think about. each one. "For each item, I'd like for you to say'whether'you strongly agree, mildly agree, mildly disagree, or strongly disagree. I have some cards that have these different responses on them, so you can look at them while you think about each item and then show me which one is the closest to your opinion for that item. Here are the cards. (Present cards in the order SA-MA-MD-SD, labeling each as it is presented, so that the SA is on the respondent's left and the SD on her right.) "I'll also give you a copy of the statements so that you can follow while I read them if you'd like. ”Let's try a sample item first. For example, if I gave you this statement -- People generally base their decisions on past experiences. -- how would you respond to it? (Be sure that respondent indicates her response by pointing to a card and verbalizing the response, if possible, so that you are sure she understands the procedure. Clarify if necessary.) "Good. Are there any questions? 64 APPENDIX E 1. Permission Slip 2. Physician Referral Slip APPENDIX E-l Permission Slip Permission--Proof of Home Call The Expanded Nutrition Evaluation Project has been explained to me . I am willing to participate and have numbers of my family participate in the project. I understand that I will be interview at agreed upon times, that my young children (if I have any) may be weighed and measured, and we will be asked to supply urine samples. Homemaker Aide _Date 65 APPENDIX E-2 Physician Referral Slip Date: Time: To Whom It May Concern: In doing a routine urinalysis for a research project of the.Expanded Nutrition Program, subject showed a positive test for . The test was made using Labstix produced by the Ames Company, a division of the Miles Laboratories. Signed: Research Assistant 66 MICHIGAN STRTE UNIV. LIBRQRIES ll ML“ unumwumlunglu mm W 3 2931 52267