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To assess whether disparities in energy consumption and insufficient energy intake in India have changed over time across socio-economic status (SES).
This cross-sectional, population-based survey study examines the relationship between several SES indicators (i.e. wealth, education, caste, occupation) and energy consumption in India at two time points almost 20 years apart. Household food intake in the last 30 d was assessed in 1993–94 and in 2011–12. Average dietary energy intake per person in the household (e.g. kilocalories) and whether the household consumed less than 80 % of the recommended energy intake (i.e. insufficient energy intake) were calculated. Linear and relative risk regression models were used to estimate the relationship between SES and average energy consumed per day per person and the relative risk of consuming an insufficient amount of energy.
Rural and urban areas across India.
A nationally representative sample of households.
Among rural households, there was a positive association between SES and energy intake across all four SES indicators during both survey years. Similar results were seen for energy insufficiency vis-à-vis recommended energy intake levels. Among urban households, wealth was associated with energy intake and insufficiency at both time points, but there was no educational patterning of energy insufficiency in 2011–12.
Results suggest little overall change in the SES patterning of energy consumption and percentage of households with insufficient energy intake from 1993–94 to 2011–12 in India. Policies in India need to improve energy intake among low-SES households, particularly in rural areas.
To assess the association between food insecurity and depression symptom severity stratified by sex, and test for evidence of effect modification by social network characteristics.
A population-based cross-sectional study. The nine-item Household Food Insecurity Access Scale captured food insecurity. Five name generator questions elicited network ties. A sixteen-item version of the Hopkins Symptom Checklist for Depression captured depression symptom severity. Linear regression was used to estimate the association between food insecurity and depression symptom severity while adjusting for potential confounders and to test for potential network moderators.
In-home survey interviews in south-western Uganda.
All adult residents across eight rural villages; 96 % response rate (n 1669).
Severe food insecurity was associated with greater depression symptom severity (b=0·4, 95 % CI 0·3, 0·5, P<0·001 for women; b=0·3, 95 % CI 0·2, 0·4, P<0·001 for men). There was no evidence of effect modification by social network factors for women. However, for men who are highly embedded within in their village social network, and (separately) for men who have few poor contacts in their personal network, the relationship between severe food insecurity and depression symptoms was stronger than for men on the periphery of their village social network, and for men with many poor personal network contacts, respectively.
In this population-based study from rural Uganda, food insecurity was associated with mental health for both men and women. Future research is needed on networks and food insecurity-related shame in relation to depression symptoms among food-insecure men.
The goal of the present study was to examine the influence of community environment on the nutritional status (weight-for-age and height-for-age) of children (aged 0–59 months) in Bangladesh. In addition, we tested the association between specific characteristics of community environments and child nutritional status.
The data are from the nationally representative 2004 Bangladesh Demographic and Health Survey.
Respondents were ever-married women (aged 15–49 years) and their children (n 5731), residing in 361 communities. Child nutritional outcomes are physical measurements of weight-for-age and height-for-age in sd units. We considered the following attributes of community environments potentially related to child nutrition: (i) community water and sanitation infrastructure; (ii) availability of community health and education services; (iii) community employment and social participation; and (iv) education level of the community.
Multilevel regression analysis showed that the spatial distribution of maternal and child covariates did not entirely explain the between-community variation in child nutritional status. The education level of the community emerged as the strongest community-level predictor of child height-for-age (highest v. lowest tertile, β = 0·18 (se 0·07)) and weight-for-age (highest v. lowest tertile, β = 0·21 (se 0·06)). In the height-for-age model, community employment and social participation also emerged as being statistically significant (highest v. lowest tertile, β = 0·13 (se = 0·06)).
The community environment influences child nutrition in Bangladesh, and maternal- and child-level covariates may fail to capture the entire influence of communities. Interventions to reduce child undernutrition in developing countries should take into consideration the wider community context.
The present study examined the association between area socio-economic status (SES) and food purchasing behaviour.
Data were collected by mail survey (64·2 % response rate). Area SES was indicated by the proportion of households in each area earning less than $AUS 400 per week, and individual-level socio-economic position was measured using education, occupation and household income. Food purchasing was measured on the basis of compliance with dietary guideline recommendations (for grocery foods) and variety of fruit and vegetable purchase. Multilevel regression analysis examined the association between area SES and food purchase after adjustment for individual-level demographic (age, sex, household composition) and socio-economic factors.
Melbourne city, Australia, 2003.
Residents of 2564 households located in fifty small areas.
Residents of low-SES areas were significantly less likely than their counterparts in advantaged areas to purchase grocery foods that were high in fibre and low in fat, salt and sugar; and they purchased a smaller variety of fruits. There was no evidence of an association between area SES and vegetable variety.
In Melbourne, area SES was associated with some food purchasing behaviours independent of individual-level factors, suggesting that areas in this city may be differentiated on the basis of food availability, accessibility and affordability, making the purchase of some types of foods more difficult in disadvantaged areas.
This study investigates how lifecourse, immigrant status and acculturation, and neighbourhood of residence influence food purchasing and preparation among low-income women with children, living in the USA. This research sought to understand physical and economic access to food, from both ‘individual’ and ‘community’ perspectives.
This study used qualitative methodology (focus groups) to examine the mechanisms and pathways of food preparation and purchasing within the context of daily life activity for US- and foreign-born women, living in the USA. The study methodology analysed notes and verbatim transcripts, summarised recurring responses and identified new themes in the discussions.
Setting and subjects
A total of 44 women were purposively sampled from two metropolitan areas in Massachusetts, USA, based on (1) neighbourhood of residence and (2) primary language spoken. All focus groups were conducted in community health centres and community centres co-located with offices of the special supplemental nutritional programme for Women, Infants, and Children.
Analysis of key response themes suggested that scarcity of food and physical access to food purchasing points did not influence food purchasing and preparation as much as (1) limited time for food shopping, cooking and family activities; and (2) challenges in transportation to stores and childcare. The study results demonstrated differing attitudes toward food acquisition and preparation between immigrant and US-born women and between women who lived in two metropolitan areas in the western and eastern regions of the state of Massachusetts, USA.
The findings illustrate ‘hidden’ constraints that need to be captured in measures of physical and economic access and availability of food. US policies and programmes that aim to improve access, availability and diet quality would benefit from considering the social context of food preparation and purchasing, and the residential environments of low-income women and families.
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