Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets.

Objectives To estimate small for gestational age birth prevalence and attributable neonatal mortality in low and middle income countries with the INTERGROWTH-21st birth weight standard.Design Secondary analysis of data from the Child Health Epidemiology Reference Group (CHERG), including 14 birth cohorts with gestational age, birth weight, and neonatal follow-up. Small for gestational age was defined as infants weighing less than the 10th centile birth weight for gestational age and sex with the multiethnic, INTERGROWTH-21st birth weight standard. Prevalence of small for gestational age and neonatal mortality risk ratios were calculated and pooled among these datasets at the regional level. With available national level data, prevalence of small for gestational age and population attributable fractions of neonatal mortality attributable to small for gestational age were estimated.Setting CHERG birth cohorts from 14 population based sites in low and middle income countries.Main outcome measures In low and middle income countries in the year 2012, the number and proportion of infants born small for gestational age; number and proportion of neonatal deaths attributable to small for gestational age; the number and proportion of neonatal deaths that could be prevented by reducing the prevalence of small for gestational age to 10%.Results In 2012, an estimated 23.3 million infants (uncertainty range 17.6 to 31.9; 19.3% of live births) were born small for gestational age in low and middle income countries. Among these, 11.2 million (0.8 to 15.8) were term and not low birth weight (≥2500 g), 10.7 million (7.6 to 15.0) were term and low birth weight (<2500 g) and 1.5 million (0.9 to 2.6) were preterm. In low and middle income countries, an estimated 606 500 (495 000 to 773 000) neonatal deaths were attributable to infants born small for gestational age, 21.9% of all neonatal deaths. The largest burden was in South Asia, where the prevalence was the highest (34%); about 26% of neonatal deaths were attributable to infants born small for gestational age. Reduction of the prevalence of small for gestational age from 19.3% to 10.0% in these countries could reduce neonatal deaths by 9.2% (254 600 neonatal deaths; 164 800 to 449 700).Conclusions In low and middle income countries, about one in five infants are born small for gestational age, and one in four neonatal deaths are among such infants. Increased efforts are required to improve the quality of care for and survival of these high risk infants in low and middle income countries.

Inequality in malnutrition by maternal education levels in early childhood: the Prospective Cohort of Thai Children (PCTC).

BACKGROUND AND OBJECTIVES: As tackling socioeconomic inequality in child malnutrition still remains one of the greatest challenges in developing countries, we examined maternal educational differences in malnutrition and the magnitude of its inequality among 4,198 children from the Prospective Cohort study of Thai Children (PCTC). METHODS AND STUDY DESIGN: Prevalence of stunting, underweight, and wasting from birth to 24 months was calculated using the new WHO growth chart. The Relative Index of Inequality (RII) was used to examine the magnitude and trend of inequality in malnutrition between maternal educational levels. RESULTS: The low education group had lower weight and height in most ages than the high education group. Faltering in height was observed in all education levels, but was most remarkable in the low education group. On the other hand, while upward trends for weight-for-age and weight-for-height across ages were observed in the high education group, a marked decline between 6 to 12 months was observed in the low education group. An increasing trend in inequality in The RII revealed an increasing trend in inequality in stunting, underweight, and wasting by maternal education levels was observed during infancy with an almost monotonic increase until 24 months, although the inequality in wasting decreased after 18 months of age. CONCLUSION: Inequality in malnutrition remarkably increased during infancy, and for stunting and underweight it remained until 24 months. These findings shed light on the extent of malnutrition inequality during the first 2 years of life and they suggest sustainable efforts must be established at the national level to tackle the malnutrition inequality in infancy.

Sociobehavioral factors associated with caries increment: a longitudinal study from 24 to 36 months old children in Thailand.

The aim of this study is to investigate sociobehavioral risk factors from the prenatal period until 36 months of age, and the caries increment from 24 to 36 months of the child in Thailand. The data utilized in this study come from the prospective cohort study of Thai children (PCTC) from prenatal to 36 months of the child in Mueang Nan district, Northern Thailand. The total sample size recruited was 783 infants. The sample size with dental caries data was 603 and 597, at 24 months and at 36 months, respectively. The sample size of having two assessment points with a dental examination (at 24 months and at 36 months) was 597. Results indicate that the caries increment was 52.9%, meaning from 365 caries free children at 24 months 193 had developed dental caries at 36 months. The prevalence of dental caries was 34.2% at 24 months (n = 206) and 68.5% at 36 months of age (n = 409). In bivariate analysis, higher education of the mother, lower household income, bottle feeding of the infant, frequent sweet candy consumptions, and using rain or well water as drinking water were associated with dental caries increment, while in multivariate conditional logistic regression analysis lower household income, higher education of the mother, and using rain or well water as drinking water remained associated with dental caries increment. In conclusion, a very significant increase in caries development was observed, and oral health may be influenced by sociobehavioural risk factors.