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Background: Most research on community empowerment provides evidence on engaging communities for health promotion purposes rather than attempts to create empowering conditions. This study addresses this gap. Intervention: Big Local started in 2010 with £271M from the National Lottery. Ending in 2026, it gives 150 relatively disadvantaged1 communities in England control over £1M to improve their neighbourhoods. Objective: To investigate health and social outcomes, at the population level and among engaged residents, of the community engagement approach adopted in a place-based empowerment initiative. Study design, data sources and outcome variables: This study reports on the third wave of a longitudinal mixed-methods evaluation. Work package 1 used a difference-in-differences design to investigate the impact of Big Local on population outcomes in all 150 Big Local areas compared to matched comparator areas using secondary data. The primary outcome was anxiety; secondary outcomes included a population mental health measure and crime in the neighbourhood. Work package 2 assessed active engagement in Big Local using cross-sectional data and nested cohort data from a biannual survey of Big Local partnership members. The primary outcome was mental well-being and the secondary outcome was self-rated health. Work package 3 conducted qualitative research in 14 Big Local neighbourhoods and nationally to understand pathways to impact. Work package 4 undertook a cost-benefit analysis using the life satisfaction approach to value the benefits of Big Local, which used the work package 1 estimate of Big Local impact on life satisfaction. Results: At a population level, the impacts on 'reporting high anxiety' (-0.8 percentage points, 95% confidence interval -2.4 to 0.7) and secondary outcomes were not statistically significant, except burglary (-0.054 change in z-score, 95% confidence interval -0.100 to -0.009). There was some effect on reduced anxiety after 2017. Areas progressing fastest had a statistically significant reduction in population mental health measure (-0.053 change in z-score, 95% confidence interval -0.103 to -0.002). Mixed results were found among engaged residents, including a significant increase in mental well-being in Big Local residents in the nested cohort in 2018, but not by 2020; this is likely to be COVID-19. More highly educated residents, and males, were more likely to report a significant improvement in mental well-being. Qualitative accounts of positive impacts on mental well-being are often related to improved social connectivity and physical/material environments. Qualitative data revealed increasing capabilities for residents' collective control. Some negative impacts were reported, with local factors sometimes undermining residents' ability to exercise collective control. Finally, on the most conservative estimate, the cost-benefit calculations generate a net benefit estimate of £64M. Main limitations: COVID-19 impacted fieldwork and interpretation of survey data. There was a short 4-year follow-up (2016/20), no comparators in work package 2 and a lack of power to look at variations across areas. Conclusions: Our findings suggest the need for investment to support community organisations to emerge from and work with communities. Residents should lead the prioritisation of issues and design of solutions but not necessarily lead action; rather, agencies should work as equal partners with communities to deliver change. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research Programme (16/09/13) and will be published in full in Public Health Research; Vol. 11, No. 9. See the NIHR Journals Library website for further project information. [ABSTRACT FROM AUTHOR]

Because the global financial crisis and high food prices affect food consumption, we characterized the relationship between stunting and nongrain food expenditure at the household level among children 0-59 mo old in Indonesia's rural and urban poor population. Expenditure and height-for-age data were obtained from a population-based sample of 446,473 children in rural and 143,807 in urban poor areas in Indonesia. Expenditure on food was grouped into categories: animal, plant, total nongrain, and grain. The prevalence of stunting in rural and urban poor areas was 33.8 and 31.2%, respectively. In rural areas, the odds ratios (OR) (5th vs. first quintile) for stunting were similar for proportion of household expenditure on animal (0.87; 95% CI = 0.85-0.90; P < 0.0001), plant (0.86; 95% CI = 0.84-0.88; P < 0.0001), and total nongrain (0.85; 95% CI = 0.83-0.87; P < 0.0001). In urban poor areas, the relationship between stunting and proportion of household expenditure on animal sources was stronger than in rural areas (OR 0.78; 95% CI = 0.74-0.81; P < 0.0001), whereas the relationship with nongrain was similar to rural areas (OR 0.88; 95% CI = 0.85-0.92; P < 0.0001) and no relationship was observed with plant sources (OR 0.97; 95% CI = 0.93-1.01; P = 0.13). For grain expenditure, OR for stunting in highest vs. lowest quintile was 1.21 (95% CI = 1.18-1.24; P< 0.0001) in rural and 1.09 (95% CI = 1.04-1.13; P< 0.0001) in urban poor areas. Thus, households that spent a greater proportion on nongrain foods, in particular animal source foods, had a lower prevalence of child stunting. This suggests potential increased risk of malnutrition associated with reductions of household expenditure due to the current global crises. J. Nutr. 140: 195S-200S, 2010. doi: 10.3945/jn.109.110858.

In Bangladesh, poor rural families often deal with high food costs by purchasing primarily rice. Our objective was to characterize the relationship between household expenditure on rice and nonrice foods with maternal and child malnutrition. Food expenditure data and anthropometry were obtained in a population-based sample of 304,856 households in the Bangladesh Nutrition Surveillance Project, 2000-2005. Food expenditures were categorized as rice and nonrice foods and expressed as quintiles of proportional food expenditure. Of children aged 6-11, 12-23, and 24-59 mo, the prevalence of stunting was 33.5, 56.3, and 53.1%, respectively. The prevalence of maternal underweight (BMI < 18.5 kg/[m.sup.2]) was 37.3%. Among children aged 6-11, 12-23, and 24-59 mo, rice expenditures were associated with stunting [odds ratio (OR) 1.11, 95% CI 1.02-1.20, P= 0.01 ; OR 1.09, 95% CI 1.04-1.13, P< 0.0001; OR 1.13, 95% CI 1.08-1.18, P< 0.0001), respectively, among families in the highest compared with the lowest quintile, adjusting for potential confounders, and nonrice food expenditures were associated with stunting (OR 0.87, 95% CI 0.80-0.95, P = 0.002; OR 0.86, 95% CI 0.83-0.90, P < 0.0001; OR 0.89, 95% CI 0.85-0.94, P < 0.0001) among families in the highest compared with the lowest quintile, adjusting for potential confounders. In the highest compared with the lowest quintile, rice expenditures (OR 1.12, 95% CI 1.08-1.15, P < 0.0001) and nonrice food expenditures (OR 0.93, 95% CI 0.90-0.96, P < 0.0001) were associated with maternal underweight. Households that spent a greater proportion on nonrice foods and less on rice had a lower prevalence of maternal and child malnutrition. J. Nutr. 140: 189S-194S, 2010. doi: 10.3945/jn.109.110718.

In Bangladesh, rice prices are known to be positively associated with the prevalence of child underweight and inversely associated with household nongrain food expenditures, an indicator of dietary quality. The collection of reliable data on household expenditures is relatively time consuming and requires extensive training. Simple dietary diversity scores are increasingly used as measures of food security and as proxies for nutrient adequacy. This study examines associations between a simple dietary diversity score and commonly used indicators of socioeconomic status in Bangladesh. Data representative of rural Bangladesh was collected from 188,835 households over 18 rounds of bi-monthly data collection from 2003-2005. A simple household dietary diversity score was developed by summing the number of days each household consumed an item from each of 7 food groups over a 7-d period. The dietary diversity score was associated with per capita nongrain food expenditures (r = 0.415), total food expenditures (r = 0.327), and total household expenditures (r= 0.332) using Spearman correlations (all P < 0.0001). The frequency of meat and egg consumption showed greater variation across quintiles of total monthly expenditure than other items contributing to the dietary diversity score. After controlling for other measures of socioeconomic status in multiple linear regression models, the dietary diversity score was significantly associated with monthly per capita food and total expenditures. Low dietary diversity during the period prior to major food price increases indicates potential risk for worsening of micronutrient deficiencies and child malnutrition in Bangladesh. J. Nutr. 140:182S- 188S, 2010. doi: 10.3945/jn.109.110809.