The World Health Organization (WHO), in collaboration with a number of research institutions worldwide, is developing new child growth standards. As part of a broad consultative process for selecting the best statistical methods, WHO convened a group of statisticians and child growth experts to review available methods, develop a strategy for assessing their strengths and weaknesses, and discuss methodological issues likely to be faced in the process of constructing the new growth curves. To select the method(s) to be used, the group proposed a two-stage decision-making process. First, to select a few relevant methods based on a list of set criteria and, second, to compare the methods using available tests or other established procedures. The group reviewed 30 methods for attained growth curves. Using the pre-defined criteria, a few were selected combining five distributions and two smoothing techniques. Because the number of selected methods was considered too large to be fully tested, a preliminary study was recommended to evaluate goodness of fit of the five distributions. Methods based on distributions with poor performance will be eliminated and the remaining methods fully tested and compared.

OBJECTIVES. Despite broad agreement that severe malnutrition contributes to child mortality in developing countries and that malnutrition has a physiologically synergistic relationship with morbidity, evidence of an epidemiologic synergism has been lacking. Also, the literature provides conflicting evidence concerning the existence of elevated mortality among children with mild to moderate malnutrition. A review of published population-based studies of anthropometry-mortality relationships was undertaken to clarify these relationships. METHODS. Six studies with the relevant data were reanalyzed to test for synergism and elevated mortality in mild to moderate malnutrition. RESULTS. The results demonstrate that mortality increases exponentially with declining weight for age. This effect is consistent across studies and there is no apparent threshold effect on mortality. The primary difference across studies is in baseline levels of mortality, which determine the quantitative impact of malnutrition on mortality in a population. CONCLUSIONS. These results indicate that mild to moderate malnutrition is associated with elevated mortality and that there is an epidemiologic synergism between malnutrition and morbidity. This previously undemonstrated finding has significant implications for child survival policies and research.

OBJECTIVES. Childhood overweight is an increasing public health concern. This study was undertaken to determine the prevalence of overweight in elementary school children in New York State and to identify characteristics associated with child fatness. METHODS. Weight, height, triceps skinfold, midarm circumference, and a 24-hour dietary recall were taken on 1797 second- and fifth-grade students from 51 randomly selected schools in New York State outside of New York City. Parents completed a brief questionnaire. RESULTS. In comparison with 1974 and 1980 national reference data, up to twice the expected percentages of children had values above the 85th, 90th, and 95th percentiles for body mass index, triceps skinfold, and arm fat area. Regression analyses suggested that children who tended to be fatter were members of low socioeconomic status, two-parent (but not single-parent) households; those with few or no siblings; those who ate school lunch; and those who skipped breakfast. CONCLUSIONS. The findings suggest that overweight is a problem among many elementary school children in New York State and that sociodemographic characteristics may be useful for targeting preventive efforts.

The purpose of this study was to identify caregiver characteristics that influence child nutritional status in rural Chad, when controlling for socioeconomic factors. Variables were classified according to the categories of a UNICEF model of care: caregiving behaviors, household food security, food and economic resources and resources for care and health resources. Sixty-four households with 98 children from ages 12 to 71 mo were part of this study. Caregivers were interviewed to collect information on number of pregnancies, child feeding and health practices, influence on decisions regarding child health and feeding, overall satisfaction with life, social support, workload, income, use of income, and household food expenditures and consumption. Household heads were questioned about household food production and other economic resources. Caregiver and household variables were classified as two sets of variables, and separate regression models were run for each of the two sets. Significant predictors of height-for-age were then combined in the same regression model. Caregiver influence on child-feeding decisions, level of satisfaction with life, willingness to seek advice during child illnesses, and the number of individuals available to assist with domestic tasks were the caregiver factors associated with children's height-for-age. Socioeconomic factors associated with children's height-for-age were the amount of harvested cereals, the sources of household income and the household being monogamous. When the caregiver and household socioeconomic factors were combined in the same model, they explained 54% of the variance in children's height-for-age, and their regression coefficients did not change or only slightly increased, except for caregiver's propensity to seek advice during child illnesses, which was no longer significant. These results indicate that caregiver characteristics influence children's nutritional status, even while controlling for the socioeconomic status of the household.

OBJECTIVE: To examine how the relationship between parity increase and weight gain is modi®ed by sociodemographic and behavioral factors. DESIGN: Prospective longitudinal data from the ®rst National Health and Nutrition Examination Survey (NHANES I, 1971±75) and its follow-up of those aged 25 y and older, the NHANES I Epidemiologic Follow-up Survey (NHEFS, 1982± 84). SUBJECTS: The analytical sample was nationally representative of the United States and included 2952 white or African-American non-pregnant women aged 25±45 y at baseline, who were re-measured approximately 10 y later. MEASUREMENTS: Statistical interactions in multiple linear and logistic regression models were examined to identify how eight sociodemographic and three behavioral factors modi®ed the effect of parity increase on body weight change and risk of substantial weight gain. RESULTS: Factors that increased parity-associated weight gain included being African-American, living in a rural area, not working outside the home, having fewer children, lower income and lower education, and being unmarried. Among white women, being younger and having higher body weight at baseline increased parity-associated weight gain, while among African-American women, being older and having lower body weight increased parity-associated weight gain. African-American smokers gained less weight with an increase in parity, while the interactions between smoking and physical activity with parity-associated weight gain in whites were complex. CONCLUSION: The effects of sociodemographic and behavioral factors on parity-associated weight gain varied by race and parity change, with the most consistent ®ndings being that unmarried and unemployed white women had greater parity-associated weight gain, while both white and African-American women who smoked, had higher education, or higher parity had lower parity-associated weight gain. This information may contribute to better targeting and more effective interventions to prevent postpartum weight retention.