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Background: Anemia during pregnancy may be associated with poor infant outcomes, although its consequences may vary based on etiology and timing. Objectives: We examined the associations between anemia and anemia-related biomarkers during pregnancy and infant outcomes [birthweight, gestational age at birth, birthweight-for-gestational age percentile, and infant hemoglobin (Hb) at 6 wk of age] in Nagpur, Eastern Maharashtra, India. Methods: We conducted a prospective cohort study of 200 pregnant women. In the first trimester, venous blood was collected to assess Hb via cyanmethemoglobin analysis, micronutrient status (ferritin, vitamin B12, and folate), and inflammation (C-reactive protein). Hb was also assessed in capillary samples using a hemoglobinometer in the first and third trimesters for mothers and at 6 wk for infants. Associations were assessed using generalized linear models controlling for background characteristics. Results: In the first trimester, high (compared with normal) venous Hb was significantly associated with lower gestational age at birth [β: −1.0 wk, 95% confidence interval (CI): −1.9, −0.2] and higher birthweight-for-gestational age percentile (β: 20.1, 95% CI: 9.0, 31.2). Mild anemia, moderate anemia, and high (compared with normal) capillary Hb were significantly associated with lower birthweight (β: −147.7 g, 95% CI: −243.4, −51.7; β: −77.7 g, 95% CI: −123.9, −31.4; and β: −236.0 g, 95% CI: −478.0, −48.1) and birthweight-for-gestational age percentile (β: −7.3, 95% CI: −13.7, −0.9; β: −8.4, 95% CI: −14.1, −2.8; and β: −8.9, 95% CI: −15.9, −1.9). Higher serum ferritin was significantly associated with higher birthweight (β: 2.0 g, 95% CI: 0.1, 3.9) and gestational age at birth (β: 0.01 wk, 95% CI: 0.00, 0.01). In the third trimester, mild anemia was significantly associated with lower gestational age at birth (β: −0.5 wk, 95% CI: −0.7, −0.3). Conclusions: Associations between maternal anemia during pregnancy and infant outcomes were mixed indicating further studies are needed to better understand these relationships.

Abstract Approximately half of pregnant women in India are anemic, representing over 7.5 million women. Few studies have assessed the relationship between multiple micronutrient deficiencies and anemia during pregnancy or the trajectory of hemoglobin (Hb) during pregnancy in low‐resource settings. We enrolled 200 pregnant women from the Maternal and Newborn Health (MNH) registry, a population‐based pregnancy and birth registry in Eastern Maharashtra, India to address these gaps. The women provided capillary (finger‐prick) and venous blood specimens at enrollment (27 weeks). Capillary specimens were analyzed at the time of collection with a HemoCue Hb 201+; venous specimens were shipped on dry ice to a laboratory for cyanmethemoglobin assessment. In the 1st trimester, mean Hb concentration and anemia (Hb

In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the M-SAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants.

Sustainably addressing the crisis of undernutrition for children and adolescents in underserved and resource-limited communities will require, among other investments, interventions aimed at optimizing the diets of these vulnerable populations. However, to date, there are substantial global gaps in the collection of dietary data in children and adolescents. This review article summarizes the challenges and opportunities in assessing diet among children and adolescents in India. National surveys in India identify the scale of the triple burden of malnutrition (undernutrition, micronutrient deficiencies and overnutrition) in children and adolescents and assess key nutrition and food security indicators for making informed policy decisions. However, national surveys do not collect data on diet, instead relying on anthropometry, biomarkers of micronutrient deficiencies, and summary measures of diet, such as the WHO infant and young child feeding summary indicators. Sub-national surveys and the scientific literature thus fill important gaps in describing the nutrient intakes of children and adolescents in India; however large gaps remain. Future research can be improved by investments in infrastructure to streamline the assessment of diet in India. The current challenges confronting the collection and analysis of high-quality dietary data occur in both the data collection and data analysis phases. Common methods for assessing diets in low-resource settings—such as 24 h recalls and food frequency questionnaires are particularly challenging to implement well in young children and adolescents due to motivation and memory issues in young respondents. Additionally, there are challenges with parental recall including children having multiple caretakers and meals outside the home. Furthermore, analysis of dietary data is hindered by the lack of affordable, accessible software for dietary data analysis relevant to the diversity in Indian diets. New technologies can address some of the challenges in dietary data collection and analysis, but to date, there are no platforms designed for population-level dietary assessment in India. Public and private sector investment in dietary assessment, as well as collaboration of researchers and the creation of open-source platforms for the sharing of data inputs (local food lists, recipe databases, etc.) will be essential to build infrastructure to better understand the diets of children and adolescents in India and improve dietary interventions in these target groups.