Periconceptional diet and the risk of gestational diabetes in south Indian women: findings from the BAngalore Nutrition Gestational diabetes LiFEstyle Study (BANGLES).

BACKGROUND: Gestational diabetes can predispose two generations-a mother and her child-to a higher risk of obesity and type 2 diabetes. Culture-specific strategies to prevent gestational diabetes are required. BANGLES investigated the associations between women's periconceptional diet and gestational diabetes risk. METHODS: BANGLES was a prospective observational study (n=785), in which women of various socioeconomic status were recruited at 5-16 weeks' gestation in Bangalore, India. Periconceptional diet was recalled at recruitment, using a validated 224-item food frequency questionnaire, that was reduced to 21 food groups for the food group-gestational diabetes analysis, and 68 food groups for the principal component analysis for a diet pattern-gestational diabetes analysis. Diet-gestational diabetes associations were examined using multivariate logistic regression, adjusting for a priori confounders determined from the literature. Gestational diabetes was assessed by a 75 g oral glucose tolerance test at 24-28 weeks' gestation, applying 2013 WHO criteria. FINDINGS: Women who consumed whole-grain cereals (adjusted odds ratio [OR] 0·58, 95% CI 0·34-0·97, p=0·03); had moderate egg consumption (>1-3 times per week) compared with less than once per week (adjusted OR 0·54, 95% CI 0·34-0·86, p=0·01); and a higher weekly intake of pulses and legumes (adjusted OR 0·81, 95% CI 0·66-0·98, p=0·03), nuts and seeds (adjusted OR 0·77, 95% CI 0·63-0·94, p=0·01), and fried and fast food (adjusted OR 0·72, 95% CI 0·59-0·89, p=0·002) had a lower gestational diabetes. None of these associations was significant after correction for multiple testing. A high-diversity, urban diet pattern characterised by diverse home-cooked and processed foods and associated with older, affluent, educated, urban women was associated with a lower risk (adjusted OR 0·80, 95% CI 0·64-0·99, p=0·04). BMI was the strongest risk factor for gestational diabetes and possibly mediated the diet pattern-gestational diabetes associations. INTERPRETATION: The same food groups that were associated with a lower gestational diabetes risk were components of the high-diversity, urban diet pattern. One healthy diet pattern might not be relevant to India. Findings support global recommendations to encourage women to attain a healthy pre-pregnancy BMI, increase diet diversity to prevent gestational diabetes, and have policies to increase food affordability. FUNDING: Schlumberger Foundation.

Peri-conceptional diet patterns and the risk of Gestational diabetes mellitus in South Indian women.

OBJECTIVE: To identify peri-conceptional diet patterns among women in Bangalore, and examine their associations with risk of gestational diabetes mellitus. DESIGN: BANGLES, started in June 2016, was a prospective observational study, in which women were recruited at 5-16 weeks' gestation. Peri-conceptional diet was recalled at recruitment, using a validated 224-item food frequency questionnaire. GDM was assessed by a 75-gram oral glucose tolerance test at 24-28 weeks' gestation, applying WHO 2013 criteria. Diet patterns were identified using principal component analysis and diet pattern-GDM associations were examined using multivariate logistic regression, adjusting for 'a priori' confounders. SETTING: Antenatal clinics of two hospitals, Bangalore, South India. PARTICIPANTS: 785 pregnant women of varied socio-economic status. RESULTS: GDM prevalence was 22%. Three diet patterns were identified: a) High-diversity, urban (HDU) characterised by diverse, home-cooked and processed foods was associated with older, more affluent, better-educated and urban women; b) Rice-fried snacks-chicken-sweets (RFCS), characterised by low diet-diversity, was associated with younger, less-educated, and lower income, rural and joint families; c) Healthy, traditional vegetarian (HTV), characterised by home-cooked-vegetarian and non-processed foods was associated with less-educated, more affluent, and rural and joint families. The HDU pattern was associated with a lower GDM risk (aOR: 0.80 per SD, 95% CI: 0.64, 0.99, p=0.04) after adjusting for confounders. BMI was strongly related to GDM risk and possibly mediated diet-GDM associations. CONCLUSIONS: The findings support global recommendations to encourage women to attain a healthy pre-pregnancy BMI and increase diet-diversity. Both healthy and unhealthy foods in the patterns indicate low-awareness about healthy foods and a need for public-education.

Newborn Screening for Congenital Adrenal Hyperplasia in India: What Do We Need to Watch Out for?

BACKGROUND: Congenital Adrenal Hyperplasia (CAH) is a disorder-an ideal candidate to deserve newborn screening. CAH accounts for a significant mortality and morbidity in India, and its awareness among obstetricians should be treated as highly important to prevent the problem. PURPOSE OF THE STUDY: It is very important for a country like India as the incidence of CAH is reasonably high justifying screening program. However, there are simple logistics that need to be followed, and the treating physicians need to be aware of, if one has to reduce the number of false positives and recalls. METHODS: This article takes one through the steps involved in the analysis, interpretation, and reasons for false positives, why the false positives, so that unnecessary calls to parents for repeat sampling are minimized along with the emphasis and the need for the routine screening for CAH. RESULTS/CONCLUSION: The results of samples can vary depending on the gestational age of the baby, weight of the baby, sampling time, and the knowledge of these data to the treating Obstetrician and Pediatrician is of paramount importance in preventing repeat samples and frustration for the family and the people involved.