Dietary patterns in North and South India: a comparison with EAT-Lancet dietary recommendations.

BACKGROUND: Environmentally sustainable diets are represented in the EAT-Lancet recommendations developed by the Lancet Commission on Planetary Health in 2019. Very few studies have compared Indian diets with the EAT-Lancet recommendations. The present study performed such a comparison using primary dietary consumption data from adults in north and south India. METHODS: Data from 8762 adults (52.4 ± 11.7 years) residing in Sonipat and Vizag India were collected on sociodemographic characteristics, wealth index (household assets) and dietary intake (food frequency questionnaire: nine food groups). The quantity consumed and energy from each food group was compared with the EAT-Lancet recommendations. We investigated the likelihood of deficit or excess in consumption compared to the EAT-Lancet recommendations by different sociodemographic factors. RESULTS: Half of the participants were women and half resided in rural areas. Vegetables and fruits were consumed in lower quantity, whereas dairy and added fats were consumed in higher quantity than recommended by the EAT-Lancet recommendations. For whole grains, female gender and poorest wealth index were the factors associated with deficit or no consumption, whereas, for vegetables and fruits, it was poorest wealth index and residence in rural areas (p < 0.05, all). Rural residence and poorest wealth index were associated with excess consumption of dairy and added fats (p < 0.05, all). CONCLUSIONS: The diets of the study participants were mainly plant-based, and high in dairy but lacking in nutrient-rich foods such as vegetables and fruits. Appropriate policy actions for making healthy sustainable diets and micronutrient-rich foods available and affordable to all with a particular focus on the poor and rural populations are warranted.

Agricultural and Socioeconomic Factors Associated with Farmer Household Dietary Diversity in India: A Comparative Study of Visakhapatnam and Sonipat.

Using primary data from 479 farmer households, this study examined the associations between agricultural and socioeconomic factors and farmer household dietary diversity in Visakhapatnam and Sonipat. Cropping intensity was positively associated with farmers' household dietary diversity score (HDDS), suggesting that higher cropping intensity may expand the gross cropped area and improve food security among subsistence farmers. Distance to food markets was also significantly associated with farmer HDDS, which suggests that market integration with rural households can improve farmer HDDS in Visakhapatnam. In Sonipat, wealth index had a positive association with farmer HDDS, targeting the income pathway by improving farmer HDDS in this region. Considering the relative contribution of these factors, distance to food markets, cropping intensity, and crop diversity were the three most important factors affecting farmer HDDS in Visakhapatnam, whereas wealth index, cropping intensity, and distance to food markets emerged as the top three important factors contributing to farmer HDDS in Sonipat. Our study concludes that the associations between agricultural and socioeconomic factors and farmer HDDS are complex but context- and location-specific; therefore, considering the site- and context-specific circumstances, different connections to HDDS in India can be found to better support policy priorities on the ground.

Snacking Behavior and Association with Metabolic Risk Factors in Adults from North and South India.

BACKGROUND: Snacks are increasingly contributing to daily diets around the world. Studies from high-income countries have demonstrated the link between snack consumption and metabolic risk factors, but there are very few studies from low- and middle-income countries. OBJECTIVES: The objective of this study was to assess snack behavior and its associations with metabolic risk factors in Indian adults. METHODS: Adults from the UDAY study (October 2018-February 2019, n = 8762) from rural and urban Sonipat (North) and Vizag (South) India were studied for snack consumption (food frequency questionnaire), demographic factors, including age, sex, etc. and metabolic risk factors, including BMI, waist circumference, fat percentage, plasma glucose, and blood pressure. We compared snack consumption by categories of sociodemographic factors (Mann-Whitney U test, Kruskal-Wallis test) and studied the likelihood for metabolic risk (logistic regression analysis). RESULTS: Half of the study participants were women and resided in rural locations. Savory snacks were the most preferred; 50% of the participants consumed them 3-5 times/wk. Participants preferred to purchase out-of-home prepared snacks and eat them at home (86.6%) while watching television (69.4%) or with family/friends (49.3%). The reasons for snacking were hunger, craving, liking, and availability. Snack consumption was higher in Vizag (56.6%) than in Sonipat (43.4%), among women (55.5%) than men (44.5%), and the wealthiest; it was similar in rural-urban locations. Frequent consumers of snacks had 2 times higher likelihood for having obesity (OR: 2.22; 95% CI: 1.51, 3.27) central obesity (OR: 2.35; 95% CI: 1.60, 3.45), and higher fat percentage (OR: 1.92; 95% CI: 1.31, 2.82) and higher fasting glucose levels (r=0.12 (0.07-0.18) than consumers who consumed snacks rarely (all P ≤ 0.05). CONCLUSIONS: Snack (savory and sweet) consumption was high among adults from sexes in both urban and rural locations of north and south India. This was associated with higher risk of obesity. There is a need to improve the food environment by promoting policies for ensuring healthier food options to reduce snacking and associated metabolic risk.

Food insecurity and its determinants among adults in North and South India.

BACKGROUND: Food insecurity is a major public health problem worldwide. In India, there are limited food insecurity assessment studies using a conventionally accepted method like the Food Insecurity Experience Scale (FIES), developed by the Food and Agricultural Organization (FAO). This study aims to measure food insecurity using the FIES and explore its determinants and association with body mass index (BMI) among Indian adults.  METHODS: In a cross-sectional study, we used FIES to measure food security in a sample of 9005 adults residing in North and South India. Using questionnaires, socio-demographic factors, dietary intake and food security data were collected. The dietary diversity scores (FAO-IDDS) and food insecurity scores (FAO-FIES) were calculated. Body size was measured and BMI was calculated.  RESULTS: The mean age of the study participants was 52.4 years (± 11.7); half were women and half resided in rural areas. Around 10% of the participants reported having experienced (mild or moderate or severe) food insecurity between October 2018 and February 2019. Dietary diversity (measured by FAO's Individual Dietary Diversity Scores, IDDS) was low and half of the participants consumed ≤ 3 food groups/day. The mean BMI was 24.7 kg/m2. In the multivariate analysis, a lower IDDS and BMI were associated with a higher FIES. The place of residence, gender and wealth index were important determinants of FIES, with those residing in South India, women and those belonging to the poorest wealth index reporting higher food insecurity. CONCLUSION: Food security is understudied in India. Our study adds important evidence to the literature. Despite having marginal food insecurity, high prevalence of low diet quality, especially among women, is disconcerting. Similar studies at the national level are warranted to determine the food insecurity situation comprehensively in India and plan appropriate policy actions to address it effectively, to attain the key Sustainable Development Goals (SDG).

Awareness and Availability of Low Sodium Iodized Salt: Results from Formative Research of Promoting Uptake of Low SodiUm Iodized Salt by Rural and Urban HousehoLds in India-The PLURAL Study.

Dietary sodium intake is high among adults in India. Use of low sodium iodized salt (LSIS) can help reduce sodium intake. However, contextually relevant and culturally appropriate interventions to promote LSIS uptake in India have not been developed and implemented. We carried out formative research to inform an intervention to promote uptake of LSIS among rural and urban households in north (Sonipat district) and south (Visakhapatnam and Anakapalli districts) India. Sixty-two in-depth interviews of six focus groups were held with a range of stakeholders-consumers, retailers and influencers. Participant views on availability, affordability, taste and safety of LSIS, along with views on hypertension, its risk factors and potential intervention design and delivery strategies were elicited. Thematic analysis of the data was carried out. While the awareness of hypertension and its risk factors was high among the participants, awareness of LSIS was low. There was also low demand for, and availability of, LSIS. Since cost of LSIS was higher than regular salt, participants preferred that a subsidy be provided to offset the cost. Based on these findings, an intervention to promote the uptake of LSIS was implemented by project staff using various educational materials such as posters, pamphlets and short videos.

Diagnostic Accuracy of a Two-Stage Sequential Screening Strategy Implemented by Community Health Workers (CHWs) to Identify Individuals with COPD in Rural India.

PURPOSE: Undiagnosed Chronic Obstructive Pulmonary Disease (COPD) results in high morbidity, disability and mortality in India. Effective strategies for active COPD screening in community settings are needed to increase early identification, risk reduction and timely management. The objective of this study was to test the diagnostic accuracy of a sequential two-step screening strategy to detect COPD, implemented by community health workers (CHWs), among adults aged ≥40 years in a rural area of North India. PATIENTS AND METHODS: Trained CHWs screened all consenting (n=3256) eligible adults in two villages using the Lung Function Questionnaire (LFQ) to assess their COPD risk and conducted pocket spirometry on 268 randomly selected (132 with high risk ie LFQ score ≤18 and 136 with low risk ie LFQ score >18) individuals. Subsequently, trained researchers conducted post-bronchodilator spirometry on these randomly selected individuals using a diagnostic quality spirometer and confirmed the COPD diagnosis according to the Global Initiative for Obstructive Lung Disease (GOLD) criteria (FEV1/FVC ratio <0.7). RESULTS: This strategy of using LFQ followed by pocket spirometry was sensitive (78.6%) and specific (78.8%), with a positive predictive value of 66% and negative predictive value of 88%. It could accurately detect 67% of GOLD Stage 1, 78% of GOLD Stage 2, 82% of GOLD Stage 3 and 100% of GOLD Stage 4 individuals with airflow limitation. CONCLUSION: COPD can be accurately detected by trained CHWs using a simple sequential screening strategy. This can potentially contribute to accurate assessment of COPD and thus its effective management in low-resource settings.