INFANT NUTRITIONAL PATTERNS AND TRENDS IN SIJB-SAHARAN AFRICA: EVIDENCE FROM DEMOGRAPHIC AND HEALTH SURVEYS 1986-19981 Research Review New Scries 15.2 (1999) 1-1S Sam uel Agyei-Mensah Introduction The problem of malnutrition is an important health and welfare problem among infants and young children in Sub-Saharan Africa. It results in increased risk of illness and death. In addition, malnutrition can result in a lower level of cognitive development, which results in lower educational attainment. Malnutrition also has inter-generational effects. Infants born to women who themselves were malnourished during early childhood are smaller than infants born to better nourished women. Infants born with low birth weight, defined as less than 2.5 kg, are at greater risk of illness and death compared with normal weight infants. The number of deaths arising from malnutrition among children in Sub-Saharan Africa is relatively high. In Mali an estimated 57 percent of all deaths among children under the age of five years are related to malnutrition (Haggerty et ai, 1998) whereas in Kenya and Senegal the percentage is 38 percent (Macro International 1996 Kenya; Macro International Senega! 1996). Recent studies indicate that in some countries in Sub-Saharan Africa the toll of hunger and malnutrition is increasing rather than decreasing. This poses a serious health challenge with policy implications. For example, inadequate nutrition may stunt growth and increase mortality of infants. Understanding the changing patterns of malnutrition in Sub-Saharan Africa is thus critical in devising effective strategies and programs in combating the problem. This paper provides an overview of the nutritional situation in Sub-Saharan Africa looking at patterns and trends. The analysis is based on data from the first, second and third phases of the Demographic and Health Surveys (DHS). To explore variations within Sub-Saharan Africa in levels of malnutrition, we focus on countries for which we have ample nutritional data from the DHS, such as Cameroon, Ghana, Kenya, Madagascar, Mali, Niger, Rwanda, Senegal, Tanzania, Uganda, Zambia and Zimbabwe. The paper begins with a description of the sources of data. The patterns of malnutrition based on the percentage of children who are stunted and underweight as well as the patterns of breast feeding are then described, In the third section we examine trends in malnutrition based on the percentage of children who are stunted, wasted and underweight. And finally comes the discussion and conclusion. The results reveal that many children in Sub-Saharan Africa, are malnourished, even though there are significant geographical differences. Levels of malnutrition also appear to be on the increase in many countries in the region. Data and Methods Until recently statistical data on infant nutritional patterns in Sub-Saharan Africa were virtually absent. To estimate patterns and trends in malnutrition, this paper has drawn upon data from Nutritional Chart Books derived from Demographic and Health Surveys conducted since the early 1980s. Three major rounds of DHS surveys have been conducted since the late 1980s. DHS I conducted between 1985-1990; DHS II from 1991-1994 and DHS 111 1995-1998. The DHS surveys are nationally representative sample surveys designed to provide information on fertility, mortality, family planning and maternal and child health. The individual questionnaires are based on information on fertility, nuptiality, fertility preferences, family planning, infant and child mortality, maternal mortality, child health, breastfeeding, nutritional status of mothers and young children, and snore recently HIV/AIDS, Data collected at the household level concern characteristics of all household nembers, housing characteristics and possession of certain specific durable goods. At the community level, data were collected on the availability of health and family planning services for each community. Nutritional data collected on children usually include weight, height, age, breastfeeding history, and feeding patterns. The size of the sample varies from country to country. For example in the 1995/96 Mali DIIS a sample of 9704 women aged 1.5 to 49 years belonging to 8716 households and 2474 men from 15-59 years belonging to 2869 households were interviewed, whereas in the 1998 Ghana DHS a total of 4,843 women aged 15-49 and 1,546 men aged 15-59 were interviewed (Statistical Service of Ghana 1999). Nutritional status is measured by three indicators: stunting, wasting and underweight. We also draw on estimates of breast-feeding patterns in terms of their duration and exclusivity, The indices of nutritional status are expressed as standardized (z-score) deviation units from the median of a reference population recommended by the World Health Organization (WHO). The rationale for the use of the reference population is based on the finding that well nourished children in all population groups for which data exist follow similar growth patterns before puberty and thus, exhibit similar distributions with respect to height and weight at given ages (Martorell and Habicht 1986). The reference population used here is the international reference population defined by the United States National Centre for Health Statistics (NCHS). Here children who fall below two standard deviations from the reference median are regarded as malnourished. Stunting, defined as height-for age, more than two standard deviations below (-2SD) the median of the NCHS reference population, is the failure to grow adequately in height in relation to age. It reflects past or chronic malnutrition and results from inadequate food intake over a long period of time and /or repeated episodes of illness, particularly diarrhoea. In other words, the children are too short for their age. Stunting is a good long-term indicator of the nutritional status of a population because it is not markedly affected by short-term factors such as season of data collection, epidemic illnesses, acute food shortages, or recent shifts in social or economic policies (Macro International 1998). Wasting, defined as weight-for height more than two standard deviations below (-2SD) the median of the NCHS reference population, is the failure to gain weight adequately in relation to height and reflects recent or acute malnutrition. Wasting results from a recent shortage of adequate nutrition and /or recent or current acute illness, especially diarrhoea. In other words the child becomes too thin for his or her height. Underweight, defined as weight-for-age more than two standard deviations below (- 2SD) the median of the NCHS reference population, is a composite indicator that reflects either chronic or acute malnutrition, or both, It does not add additional information beyond that provided by the indicators of stunting and wasting, however, it is often used as a general indicator of a population's health status. This condition can result from either chronic or acute malnutrition, or a combination of both. With regard to data quality there are several issues that might affect the interpretation of anthropometric findings- It is important to know whether the children who were measured are representative of the larger population; whether the height and weight measurements are accurate, and whether the age information is reliable (Sommerfelt and Stewart 1994), Comparison of nutritional status among Sub-Saharari countries must be done with caution, as the season in which anthropometric data are collected can greatly affect the proportion of children categorized as stunted, wasted, or underweight. For example, data for the 1988 GDHS was collected during a hot, rainy period (February to June 1988) while the 1993 GDHS was conducted during a relatively dry period following the harvest (September 1993 to February 1994) (Agble et al. 1995), Some shortcomings with respect to the analysis of the trends of malnutrition should be noted. First not all the countries participated in the round of surveys. Second, anthropometric data was not collected for all the surveys. Third the age of the children varied from one survey to the other. Because of these problems, not all countries are included in the assessment. We include only those for which we have at least two rounds of survey data. Secondly, the ages of the children differ. For example whereas in the analysis of patterns we restrict the data to children under 3 years, the trends are based on the most convenient estimates between the surveys provided. We provide three periods for purposes of ths trends based on the DHS data. 1986-1990, 1991-1994 and 1995-1998, Patterns of Malnutrition Despite these data limitations, there are noticeable and significant regional differences in the proportion of children suffering from malnutrition in Sub-Saharan Africa. Fig 1 shows the level of stunting among children under 3 years in Sub-Saharan African countries between 1986-1998. Figure 2 shows the level of underweight among the same category of children and the time period. The Rg.1 Malnutrition (Stuting) among Children under 3 Yeas in SubSaharan Countries, DHS Surveys 1991-1996 43 45 40 35 u 30 c \ 25 -24- 25 % £ 30 A S Rf.Rp Source: DHS Nutrition Chart Books on Individual Countries 1991-1998 Fig. 2 Underweight among Children under 3 Years in Sub-SaharanCountries, DHS Surveys 1991-1998 50 45 40 35 30- 20- 15- 10- 5 15 T M i i 40 40 26 26 26 2 27 2 27 2929 23" !. Country A