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.

To evaluate the current and ideal body weight perceptions of schoolchildren in relation to their actual body weight and socio-economic status (SES).

Baseline evaluation of schoolchildren from January 2008 to April 2008 as part of a 3-year longitudinal study.

City and non-city locations, Karnataka State, South India.

Schoolchildren (n 1877) aged between 8 and 14 years.

Girls, children of more educated parents and city dwellers were more likely to be overweight (P < 0·001). Younger children aged <10 years and those of lower SES were more likely to perceive themselves as underweight (adjusted OR = 1·63, 95 % CI 1·25, 2·11 and adjusted OR = 1·87, 95 % CI 1·32, 2·65). Underweight children were ten times more likely to overestimate their current weight status, while overweight children were four times more likely to underestimate it. The odds of children of lower SES underestimating their weight, as well as desiring a higher weight, were higher than those of higher-SES children.

SES is associated with body weight perception. Underweight children are more likely to overestimate their weight status and overweight children more likely to underestimate it.

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.

There were two objectives: first, to review the existing data on energy costs of specified activities in the light of the recommendations made by the Joint Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU) Expert Consultation of 1985. Second, to compile existing data on the energy costs of physical activities for an updated annexure of the current Expert Consultation on Energy and Protein Requirements.

Electronic and manual search of the literature (predominantly English) to obtain published data on the energy costs of physical activities. The majority of the data prior to 1955 were obtained using an earlier compilation of Passmore and Durnin. Energy costs were expressed as physical activity ratio (PAR); the energy cost of the activity divided by either the measured or predicted basal metabolic rate (BMR).

The compilation provides PARs for an expanded range of activities that include general personal activities, transport, domestic chores, occupational activities, sports and other recreational activities for men and women, separately, where available. The present compilation is largely in agreement with the 1985 compilation, for activities that are common to both compilations.

The present compilation has been based on the need to provide data on adults for a wide spectrum of human activity. There are, however, lacunae in the available data for many activities, between genders, across age groups and in various physiological states.