Protein–energy malnutrition is a major health problem contributing to the burden of disease in developing countries. The aim of this study was to assess the incidence of, and risk factors for, malnutrition among school-going children in south India. A total of 2496 children aged 5–7 years from rural and urban areas of south India were recruited in 1982 and followed up for malnutrition over a period of 9 years. Their body heights and weights were measured every six months and socio-demographic factors such as mother’s education and father’s education and relevant household characteristics and hygiene practices collected. Body mass index and height-for-age z-scores were used to determine children’s levels of underweight and stunting, respectively, classified as normal, mild/moderate or severe. Risk factor analysis was done for pre-pubertal ages only using Generalized Estimating Equations with cumulative odds assumption. There was a significant difference between male and female children in the incidence of severe underweight and stunting (6.4% and 4.2% respectively). Children in households with no separate kitchen had 1.3 (1.0–1.6) times higher odds of being severely underweight (p=0.044) compared with those with a kitchen. Children without a toilet facility had significantly higher odds of severe underweight compared with those who did. Children with illiterate parents had higher odds of severe stunting than those with literate parents. In conclusion, the prevalence of malnutrition among these south Indian children has not changed over the years, and the incidence of severe malnutrition was highest in children when they were at pubertal age. The risk factors for stunting were mostly poverty-related, and those for underweight were mostly hygiene-related. Adolescent children in south India should be screened periodically at school for malnutrition and provided with nutritional intervention if necessary.

The aim of this study was to find out whether differences exist in the physical development, nutritional status and psychosomatic status of children living in deprived regions of Hungary compared with the Hungarian national reference values. The Hungarian government’s decree No. 24/2003 created a complex indicator of social and economic conditions by which the country’s regions were graded into deprived and non-deprived regions. This study examined 3128 children (aged 3–18 years) living in the deprived regions and their biological status was compared with the national reference values (2nd Hungarian National Growth Study). Children’s body development was assessed via some absolute body dimensions. Nutritional status was estimated by BMI with children being divided into ‘underweight’, ‘normal’, ‘overweight’ and ‘obese’ categories. For children aged 7–18 years a standard symptoms list was used to characterize psychosomatic status. The subjects were asked to rate their health status as excellent, good, fair or poor. The body development of children living in these deprived regions was significantly retarded compared with the national references in the age groups 7–9 years and 14–17 years for boys and in the age groups 4–6 and 14–17 for girls. The prevalence of underweight was significantly higher in children and adolescents living in deprived regions (boys: 4.8%; girls: 5.9%) than the national references (boys: 2.9%; girls: 4.0%), while the prevalence of overweight and obese children did not differ between deprived regions (boys: 20.2%; girls: 19.8%) and the national references (boys: 21.5%; girls: 19.1%). Children and adolescents living in the deprived regions rated their health status worse, and experienced more psychosomatic complaints (abdominal discomfort and fear), than the national references. Although the majority of body dimensions of children in deprived regions were close to the 50th centile of the Hungarian national references, a sizeable minority (31%) were 0.20SD or more away from the median value, which has implications as to how social, medical and public welfare policy can be shaped.

This study examined the effect of Asian nativity and duration of residence in Australia on the odds of reporting a chronic health condition (cancer, respiratory problems, cardiovascular disease (CVD) and diabetes mellitus). Data were from waves 3, 7 and 9 of the Household Income and Labour Dynamics in Australia (HILDA) longitudinal survey, and multi-level group-mean-centred logistic regression models were used for the analysis. After covariate adjustment, Asian immigrants were less likely to report cancer and respiratory problem compared with native-born Australians. While there was no significant difference in reporting CVD, they were more likely to report diabetes than native-born people. Asian immigrants maintained their health advantage with respect to cancer regardless of duration of residence. However, after 20 years of stay, Asian immigrants lost their earlier advantage and were not significantly different from native-born people in terms of reporting a respiratory problem. In contrast, Asian immigrants were not measurably different from native-born Australians in reporting diabetes if their length of stay in Australia was less than 20 years, but became disadvantaged after staying for 20 years or longer. There was no measurable difference in the odds of reporting CVD between Asian immigrants and native-born Australians for any duration of residence. On the whole this study found that health advantage, existence of healthy immigrant effect and subsequent erosion of it with increasing duration of residence among Asian immigrants depends upon the chronic health condition.

Over two-thirds of pregnant women (69%) have at least one antenatal care (ANC) coverage contact in sub-Saharan Africa. However, to achieve the full life-saving potential that ANC promises for women and babies, a nuanced understanding of age-specific gaps in utilization of ANC services is required. Using the 2008 Ghana Demographic and Health Survey of 1456 individuals, this study examined the disparities in the use of ANC services between younger and older mothers by applying four counterfactual decomposition techniques. The results show that cross-group differences in the explanatory variables largely account for the differentials in ANC service utilization between younger and older mothers. Birth order (parity) accounts for the largest share of the contribution to the overall explained gap in ANC utilization between the younger and older mothers, suggesting that ANC differentials between the two groups are probably due to biosocial factors. To a lesser extent, wealth status of the two groups also contributes to the overall explained gap in ANC service utilization. The policy implications of these findings are that in order to bridge the ANC service utilization gap between the two groups, policymakers must systematically address gaps in cross-group differences in the explanatory variables in order to increase the utilization of ANC to attain the minimum recommendation of four visits as per World Health Organization guidelines.

Most studies on birth intervals and infant mortality ignore pregnancies that do not result in live births. Yet, fetal deaths are important in infant mortality analyses for three reasons: ignoring fetal deaths between two live births lengthens the measured interval between births, implying that short intervals are underestimated; the recommended inter-pregnancy interval (IPI) after a fetal loss is shorter (6 months) than after a live birth (24 months), as the effect of IPI on outcomes might differ according to the previous type of pregnancy outcome; fetal death will selectively reduce the population at risk of neonatal mortality, leading to biased results. This study uses the Heckman selection model to simultaneously estimate the combined effect of IPI duration and the type of pregnancy outcome at the start of the interval on pregnancy survival and neonatal mortality. The analysis is based on retrospective data from the Rwanda Demographic Health Surveys of 2000, 2005 and 2010. The results show a significant selection effect. After controlling for the selection bias, short (<6 months) and long (>60 months) intervals after a fetal death reduce the chances of pregnancy survival, but no longer have an effect on neonatal mortality. For intervals starting with a live birth, the reverse is true. Short intervals (<24 months) do not affect pregnancy survival but increase the odds of neonatal mortality. If the previous child died in infancy, the highest odds are found for neonatal death regardless of the IPI duration.

The increasing prevalence of negative body perceptions among adolescent girls and the tendency towards wishing to be thinner have become a cultural norm in Western culture. Adolescent girls are particularly vulnerable to developing a negative body image due to physical and sexual changes occurring during puberty. This study aimed to evaluate the association between different measures of body image perceptions and different phases of the menstrual cycle after controlling for weight status and other potential confounders in Polish adolescent girls aged 12–18 years. Three-hundred and thirty participants of a cross-sectional survey conducted in 2009, normally cycling and with no eating disorders, completed a background questionnaire and the Stunkard Figure Rating Scale, and their anthropometric measurements were collected. The dependent outcome variables were measures of body image (actual body image, ideal body image and ideal-self discrepancy) and dichotomous body image perception (satisfied versus dissatisfied) adjusted for other predictor factors: socio-demographic variables, menstrual history and cycle phases, and weight status. One-way ANOVA indicated that weight status, age at menarche and menstrual cycle phase were associated with actual body image and rate of ideal-self discrepancy. Ideal body image was associated with weight status and menstrual cycle phase. General logistic regression models were constructed to evaluate associations of body dissatisfaction and all potential predictor variables. The final selected model of the multiple logistic regression analysis using the backward elimination procedure revealed that adjusted for other factors, negative body image was significantly associated with different phases of the menstrual cycle (ptrend=0.033) and increasing body weight status (ptrend=0.0007). The likelihood of body dissatisfaction was greatest during the premenstrual phase of the menstrual cycle (OR=2.38; 95% CI 1.06, 5.32) and among girls in obesity class I (OR=8.04; 95% CI 2.37, 27.26). The study confirmed the association between body image dissatisfaction in adolescent girls and different phases of the menstrual cycle after controlling for weight status. The issue of negative body self-image is not only of cognitive, but also of practical value as understanding better the factors contributing to the formation of a negative body image may be instrumental in developing preventive health programmes targeted at young people.

This study analysed childlessness and religion among female research scientists in the Austrian context. The aim of the study was to investigate the role of religion in intended childlessness and realized childlessness. The analysis was based on a representative sample of Austrian women aged 25–45 (N=2623), with a specific sample of female research scientists aged 25–45 (N=186), carried out in the framework of the Generations and Gender Survey conducted in 2008/09. The results indicate that religious affiliation and self-assessed religiosity are strongly related to fertility. Multivariate analyses reveal that education has no explanatory power in terms of explaining intended childlessness, once religious affiliation and self-assessed religiosity are taken into consideration.

Cross-regional correlations between average IQ and socioeconomic development have been documented in many different countries. This paper presents new IQ estimates for the twelve regions of the UK. These are weakly correlated (r=0.24) with the regional IQs assembled by Lynn (1979). Assuming the two sets of estimates are accurate and comparable, this finding suggests that the relative IQs of different UK regions have changed since the 1950s, most likely due to differentials in the magnitude of the Flynn effect, the selectivity of external migration, the selectivity of internal migration or the strength of the relationship between IQ and fertility. The paper provides evidence for the validity of the regional IQs by showing that IQ estimates for UK nations (England, Scotland, Wales and Northern Ireland) derived from the same data are strongly correlated with national PISA scores (r=0.99). It finds that regional IQ is positively related to income, longevity and technological accomplishment; and is negatively related to poverty, deprivation and unemployment. A general factor of socioeconomic development is correlated with regional IQ at r=0.72.