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Nutrition‐sensitive agriculture (NSA) interventions offer a means to improve the dietary quality of rural, undernourished populations. Their effectiveness could be further increased by understanding how household dynamics enable or inhibit the uptake of NSA behaviours. We used a convergent parallel mixed‐methods design to describe the links between household dynamics—specifically intrahousehold power inequalities and intrahousehold cooperation—and dietary quality and to explore whether household dynamics mediated or modified the effects of NSA interventions tested in a cluster‐randomized trial, Upscaling Participatory Action and Videos for Agriculture and Nutrition (UPAVAN). We use quantitative data from cross‐sectional surveys in 148 village clusters at UPAVAN's baseline and 32 months afterwards (endline), and qualitative data from family case studies and focus group discussions with intervention participants and facilitators. We found that households cooperated to grow and buy nutritious foods, and gendered power inequalities were associated with women's dietary quality, but cooperation and women's use of power was inhibited by several interlinked factors. UPAVAN interventions were more successful in more supportive, cooperative households, and in some cases, the interventions increased women's decision‐making power. However, women's decisions to enter into negotiations with family members depended on whether women deemed the practices promoted by UPAVAN interventions to be feasible, as well as women's confidence and previous cultivation success. We conclude that interventions may be more effective if they can elicit cooperation from the whole household. This will require a move towards more family‐centric intervention models that empower women while involving other family members and accounting for the varied ways that families cooperate and negotiate. Key messages: Household cooperation and intrahousehold power inequalities may influence children's and mothers' dietary diversity in rural OdishaThese factors partly determine the effects of nutrition‐sensitive agriculture (NSA) interventions tested in Upscaling Participatory Action and Videos for Agriculture and Nutrition, indicating that NSA interventions may be more effective if they include multiple family members.There is wide heterogeneity in household dynamics and the constraints that families face. Further research is needed to identify how interventions can respond to this heterogeneity so that NSA interventions are effective in an inclusive and empowering way. [ABSTRACT FROM AUTHOR]

Despite strong policy and program commitment, essential maternal nutrition services are not reaching enough women in many countries. This paper examined multifactorial determinants (personal, family, community, and health services) associated with maternal nutrition practices in Uttar Pradesh, India. Data were from a household survey of pregnant (n = 667) and recently delivered women (n = 1,835). Multivariable regression analyses were conducted to examine the determinants of four outcomes: consumption of diverse diets, consumption of iron folic acid (IFA) and calcium tablets, and weight monitoring during pregnancy. Population attributable risk analysis was used to estimate how much the outcomes can be improved under optimal program implementation. During pregnancy, women consumed 28 IFA and 8 calcium tablets, 18% consumed diverse diet, and 17% were weighed ≥3 times. Nutrition knowledge was associated with consumption of diverse diet (odds ratio [OR] = 2.2 times), IFA (2.3 times), calcium (11.7 times), and weight monitoring (1.3 times). Beliefs and self‐efficacy were associated with IFA (OR = 2.0) and calcium consumption (OR = 4.6). Family support and adequate health services were also associated with better nutrition practices. Under optimal program implementation, we estimate that 51% of women would have adequate diet diversity, an average consumption of 98 IFA, and 106 calcium tablets, and women would be weighed 4.9 times during pregnancy. Strengthening existing program operations and increasing demand for services has the potential to result in large improvements in maternal nutrition practices from current baseline levels but may not be sufficient to meet World Health Organization‐recommended levels without creating an enabling environment including improvements in education and income levels to support behaviour change. [ABSTRACT FROM AUTHOR]

Anaemia control programmes in India are hampered by a lack of representative evidence on anaemia prevalence, burden and associated factors for adolescents. The aim of this study was to: (1) describe the national and subnational prevalence, severity and burden of anaemia among Indian adolescents; (2) examine factors associated with anaemia at national and regional levels. Data (n = 14,673 individuals aged 10–19 years) were from India's Comprehensive National Nutrition Survey (CNNS, 2016–2018). CNNS used a multistage, stratified, probability proportion to size cluster sampling design. Prevalence was estimated using globally comparable age‐ and sex‐specific cutoffs, using survey weights for biomarker sample collection. Burden analysis used prevalence estimates and projected population from 2011 Census data. Multivariable logistic regression models were used to analyse factors (diet, micronutrient deficiencies, haemoglobinopathies, sociodemographic factors, environment) associated with anaemia. Anaemia was present in 40% of girls and 18% of boys, equivalent to 72 million adolescents in 2018, and varied by region (girls 29%–46%; boys 11%–28%) and state (girls 7%–62%; boys 4%–32%). Iron deficiency (ferritin < 15 μg/L) was the strongest predictor of anaemia (odds ratio [OR]: 4.68, 95% confidence interval [CI]: [3.21,6.83]), followed by haemoglobinopathies (HbA2 > 3.5% or any HbS) (OR: 2.81, 95% CI: [1.66,4.74]), vitamin A deficiency (serum retinol <20 ng/ml) (OR: 1.86, 95% CI: [1.23,2.80]) and zinc deficiency (serum zinc < 70 μg/L) (OR: 1.32, 95% CI: [1.02,1.72]). Regional models show heterogeneity in the strength of association between factors and anaemia by region. Adolescent anaemia control programmes in India should continue to address iron deficiency, strengthen strategies to identify haemoglobinopathies and other micronutrient deficiencies, and further explore geographic variation in associated factors. Key messages: The Comprehensive National Nutrition Survey (CNNS) 2016–2018 is the only nationally representative survey to measure haemoglobin, haemoglobinopathies, biomarkers of micronutrient deficiencies, diet and social factors in Indian adolescents aged 10–19 years.Using CNNS data, we found that 28.5% of adolescents (girls: 39.6%, boys: 17.6%) were anaemic, with variation by region or state.Our prevalence estimates translate to 72 million adolescents being anaemic, with Uttar Pradesh having twice as many anaemic adolescents as any other state.Iron deficiency, haemoglobinopathies, vitamin A deficiency and zinc deficiency were associated with an increased risk of anaemia; these associations may vary subnationally. [ABSTRACT FROM AUTHOR]

Aims: To evaluate the quality of care in known diabetes patients of Delhi. Methods: A cross‐sectional survey was conducted using a two‐stage cluster design. In all, 30 of 150 wards were chosen in Stage 1 (using a random computer‐generated seed value and then selecting wards at a predefined sampling interval; Probability Proportionate to Size—Systematic) and one colony from each ward was selected randomly in Stage 2. The selected areas were surveyed house‐to‐house in one‐of‐four random directions to recruit a minimum of 25 subjects (known diabetes ≥1 year; 35–65 years of age) per area. Data were collected by interview, blood sampling and from medical records by specifically trained research staff. Results: A total of 843 subjects (of 1315 eligible) were enrolled from 11,490 houses. For the intermediate outcome measures, an estimated 33.5% (95% CI 27.3–40.2) had an HbA1c value >10%, 67.2% (95% CI 62.8–71.4) had an LDL cholesterol level >100 mg/dl and 57.3% (95% CI 50.4–63.9) had BP levels >140/90 mmHg. For the processes of care in the last 1 year, 25.6% (95% CI 19.7–32.6) of the patients had an HbA1c (A1c) estimation and 2.4% (95% CI 1.1–4.9) had a dilated eye examination and 4.1% (95% CI 2.6–6.2) had foot examination. Diabetes self‐management education was provided to only 11.3% (95% CI 8.6–14.7) while nutrition counselling was provided to 56.0% (95% CI 51.7–60.2). Conclusions: The glycaemic control, lipid control and BP management of known diabetes patients in Delhi are unacceptably poor and a wide gap exists between practice recommendations and delivery of diabetes care in Delhi. [ABSTRACT FROM AUTHOR]