Legume consumption is associated with lower fasting glucose (FG) and insulin levels in nutrition trials and lower CVD mortality in large-scale epidemiological studies. In India, legumes are widely consumed in various preparations, yet no epidemiological study has evaluated the association of legumes with FG levels, insulin resistance and diabetes risk. The present study aimed to fill this gap.

Fasting blood samples, in-person interviews to obtain information on demographic/socio-economic factors, physical activity, alcohol and tobacco use, and anthropometric measurements were collected. Dietary intakes were assessed by an interviewer-administered, validated, semi-quantitative FFQ.

Lucknow, Nagpur, Hyderabad and Bangalore, India.

Men and women (n 6367) aged 15–76 years – urban residents, urban migrants and their rural siblings.

In multivariate random-effects models adjusted for age, BMI, total energy intake, macronutrients, physical activity and rural/migration status, daily legume consumption was not associated with FG (P-for-trend=0·78), insulin resistance (homeostasis model assessment score; P-for-trend=0·73) or the prevalence of type 2 diabetes mellitus (P-for-trend=0·41). Stratified analyses by vegetarian diet and migration status did not change the findings. Inverse associations between legumes and FG emerged for participants with lower BMI and higher carbohydrate, protein, fat and sugar intakes.

Although legumes are essential in traditional Indian diets, as well as in prudent and Mediterranean diets in the West, we did not find an association between legumes and markers of glycaemic control, insulin resistance or diabetes, except for subgroups based on BMI and macronutrient intake. The ubiquitous presence and complexity of legume preparations in Indian diets may contribute to these findings.

Obesity is a growing problem in India, the dietary determinants of which have been studied using an ‘individual food/nutrient’ approach. Examining dietary patterns may provide more coherent findings, but few studies in developing countries have adopted this approach. The present study aimed to identify dietary patterns in an Indian population and assess their relationship with anthropometric risk factors.

FFQ data from the cross-sectional sib-pair Indian Migration Study (IMS; n 7067) were used to identify dietary patterns using principal component analysis. Mixed-effects logistic regression was used to examine associations with obesity and central obesity.

The IMS was conducted at four factory locations across India: Lucknow, Nagpur, Hyderabad and Bangalore.

The participants were rural-to-urban migrant and urban non-migrant factory workers, their rural and urban resident siblings, and their co-resident spouses.

Three dietary patterns were identified: ‘cereals–savoury foods’ (cooked grains, rice/rice-based dishes, snacks, condiments, soups, nuts), ‘fruit–veg–sweets–snacks’ (Western cereals, vegetables, fruit, fruit juices, cooked milk products, snacks, sugars, sweets) and ‘animal-food’ (red meat, poultry, fish/seafood, eggs). In adjusted analysis, positive graded associations were found between the ‘animal-food’ pattern and both anthropometric risk factors. Moderate intake of the ‘cereals–savoury foods’ pattern was associated with reduced odds of obesity and central obesity.

Distinct dietary patterns were identified in a large Indian sample, which were different from those identified in previous literature. A clear ‘plant food-based/animal food-based pattern’ dichotomy emerged, with the latter being associated with higher odds of anthropometric risk factors. Longitudinal studies are needed to further clarify this relationship in India.

We examined the distribution of diabetes and modifiable risk factors to provide data to aid diabetes prevention programmes in India.

Population-based cross-sectional survey of men and women included in India's third National Family Health Survey (NFHS-3, 2005–2006).

The sample is a multistage cluster sample with an overall response rate of 98 %. All states of India are represented in the sample (except the small Union Territories), covering more than 99 % of the country's population.

Women (n 99 574) and men (n 56 742) aged 20–49 years residing in the sample households.

Prevalence of diabetes was 1598/100 000 (95 % CI 1462, 1735) among men and 1054/100 000 (95 % CI 974, 1134) among women in India. Rural–urban and marked geographic variation were found with higher rates in south and north-eastern India. Weekly and daily fish intake contributed to a significantly higher risk of diabetes among both women and men. Risks of diabetes increased with increased BMI, age and wealth status of both women and men, but no effects of the consumption of milk/curd, vegetables, eggs, television watching, alcohol consumption or smoking were found. Daily consumption of pulse/beans or fruits was associated with a significantly reduced risk of diabetes among women, whereas non-significant inverse associations were observed in the case of men.

Prevalence was underestimated using self-reports. The wide variation in self-reported diabetes is unlikely to be due entirely to reporting biases or access to health care, and indicates that modifiable risk factors exist. Prevention of diabetes should focus on obesity and target specific socio-economic groups in India.

India is experiencing increased consumption of sugar-sweetened carbonated drinks, consumption that may be associated with increased risk of type 2 diabetes and obesity. The aim of the study was to determine the availability, price and quantity sold of ‘Pepsi’ and ‘Coca Cola’ in their ‘regular’ and ‘diet’ forms in Delhi and London.

A questionnaire about the availability, price and quantity sold per day of both regular and diet Pepsi and Coca Cola was devised and piloted. Using this, a survey of food and drink outlets within a 100 m radius of randomly selected Metro stations was conducted in both cities.

Store vendors, owners and staff of food and drink outlets.

Delhi, India; London, United Kingdom.

In Delhi, of the outlets stocking regular Pepsi and Coca Cola, only 34 % sold diet versions and these were more readily available in the most affluent areas than in the poorest areas (34 % v. 6 %, Z = 3·67, P < 0·001). This social patterning was not observed in London. Little price differential between regular and diet versions of Pepsi and Coca Cola was observed in Delhi; however, profit margins were better for regular, relative to diet, Coca Cola. Sales of regular products were significantly greater than those of diet products (P < 0·002).

Low availability of diet versions of Pepsi and Coca Cola in less affluent areas of Delhi is likely to exacerbate the obesity and diabetes trends. Price differentials to promote diet versions and other healthier or traditional low-energy drinks may be beneficial.

To study the impact of migration on food consumption among Indian factory workers and their siblings and spouses.

A cross-sectional study was conducted to assess diet using an interviewer-administered semi-quantitative FFQ from which intake of 184 commonly consumed food items was obtained.

Participants recruited from factory sites in Bangalore, Lucknow, Nagpur and Hyderabad.

The sample comprised 7049 participants (41·6 % female), and included urban, migrant and rural groups.

Thirteen food items were eaten by the greatest proportion of individuals on a daily basis. These were all indigenous foods. The proportion of people consuming tandoori roti, dal with vegetables, potato and ghee on a daily basis was highest in the urban sample, intermediate in the migrant group and lowest in the rural group (P ≤ 0·01). The proportion of individuals consuming Western food on a weekly basis followed a similar trend.

The diet of this sample is predominantly indigenous in nature, irrespective of migration status, with the prevalence of daily Western food consumption being minimal.

To validate questionnaire-based physical activity level (PAL) against accelerometry and a 24 h physical activity diary (24 h AD) as reference methods (Protocol 2), after validating these reference methods against the heart rate–oxygen consumption (HRVO2) method (Protocol 1).

Cross-sectional study.

Two villages in Andhra Pradesh state and Bangalore city, South India.

Ninety-four participants (fifty males, forty-four females) for Protocol 2; thirteen males for Protocol 1.

In Protocol 2, mean PAL derived from the questionnaire (1·72 (sd 0·20)) was comparable to that from the 24 h AD (1·78 (sd 0·20)) but significantly higher than the mean PAL derived from accelerometry (1·36 (sd 0·20); P < 0·001). Mean bias of PAL from the questionnaire was larger against the accelerometer (0·36) than against the 24 h AD (−0·06), but with large limits of agreement against both. Correlations of PAL from the questionnaire with that of the accelerometer (r = 0·28; P = 0·01) and the 24 h AD (r = 0·30; P = 0·006) were modest. In Protocol 1, mean PAL from the 24 h AD (1·65 (sd 0·18)) was comparable, while that from the accelerometer (1·51 (sd 0·23)) was significantly lower (P < 0·001), than mean PAL obtained from the HRVO2 method (1·69 (sd 0·21)).

The questionnaire showed acceptable validity with the reference methods in a group with a wide range of physical activity levels. The accelerometer underestimated PAL in comparison with the HRVO2 method.