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This study examined the burden of food insecurity in India’s un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level ( SDG 4 Quality education) (p = 0 . 03) , coverage of health service needs ( SDG 3 Good health and well-being ) (p = 0 . 0002) , electricity needs ( SDG 7 affordable and clean energy ) (p<0.0001), and employment needs ( SDG 8 Decent and economic growth ) (p = 0 . 003) . Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women’s safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India’s Public Distribution System, and multi-sector partnerships to address the existing challenges.

Lifestyle interventions were effective in improving depression among people with T2DM.

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ObjectiveThe prevalence of cardiovascular diseases (CVD) is increasing in developing countries but the awareness regarding prevention and treatment of these diseases is still low. Therefore the present study was conducted with the aim of imparting health education regarding certain changes in lifestyle and dietary habits among general population through the use of short message service (SMS) that may lead to improved knowledge about prevention of cardiovascular diseases.MethodsThis cross-sectional study was conducted over a period of seven months. In the first phase, health education messages were sent through SMS to about 40,000 individuals from urban and rural population in Punjab. Twenty eight messages were sent to each individual and hence more than eleven lakh messages were sent over a period of six months. A questionnaire containing 11 questions based on these health education SMS was generated. Every 40th individual enrolled in the study was contacted on phone, and their responses noted. The data so collected was analyzed for correct responses.ResultsComplete responses could be obtained from 800 participants (males: 561 and females: 239). The participants giving correct responses to different questions ranged from 43% to 94%. Majority of participants could retain knowledge about many aspects of healthy heart habits provided by SMS except for topics concerning foods to be avoided, target for normal BP and precautions to be taken before BP measurement.ConclusionsHealth related information imparted through SMS can act as a very effective tool for disseminating knowledge about prevention of heart diseases in general population.