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Background Cardiovascular disease (CVD) is the leading cause of mortality in India. Social and behavioural factors are strongly interrelated in the prevention and control of CVD. The ability to make lifestyle changes to control hypertension and diabetes (major risk factors for CVD) is determined by factors such as education, gender, caste, poverty, and urbanicity. This study aimed to improve our understanding of the inter-relationship of social and behavioural factors in the management of elevated serum glucose and high blood pressure and co-morbid mental health conditions. Methods A population-based catchment area cross sectional survey was conducted in Kerala, India. Data were collected from residents aged over 30 years (n = 997) using standardized tools and clinical measures. We performed latent class analysis incrementally to extract homogeneous latent classes of individuals based on their responses to social and behavioural risk factors in the survey. Using structural equation models, we assessed the mediating effect of depression and anxiety, and social or behavioural risk factors, on management of high blood pressure and raised serum glucose levels. Results The prevalence of high blood pressure and blood glucose in the sample was 33 and 26% respectively. Latent class analysis found three clusters of risk factors. One had a predominance of behavioural characteristics, another of social risk factors and the third was a low risk group. Age, female sex, and marital status had an effect on high blood pressure and high glucose, though were mediated by mental health, social and behavioural risk factors. Conclusions Interventions to improve the management of risk factors for CVD need to address social risk factors and be sensitive to the needs of population sub-groups that may require additional support to access health services. An integration of social and health services may be required to achieve this.

In India, cardiovascular disease (CVD), with hypertension as its foremost risk factor, has the highest prevalence rate of non-communicable diseases (NCDs) and a rising mortality. Previous research has found a clustering of behavioural and social risks pertaining to NCDs, though the latter are infrequently addressed in public health interventions in India. This paper reaches toward the development of a social intervention to address social determinants of NCD relating to hypertension and diabetes. We used Theory of Change (ToC) as a theoretical approach to programme design. Mixed methods were used, including qualitative interviews with community members (n = 20), Accredited Social Health Activists (n = 6) and health professionals (n = 8), and a stakeholder workshop (n = 5 participants). The recruitment of participants from one local area in Kerala enabled us to map service provision and gain a holistic understanding of how to utilise the existing workforce to target social risk factors. The findings suggest that social interventions need to focus on ensuring health behaviour information reaches all parts of the community, and that those with more social risk factors are identified and supported to engage with treatment. Further research is required to test the resulting intervention model.

ObjectivesThe purpose of this study is to examine the existing literature of the major social risk factors which are associated with diabetes, hypertension and the comorbid conditions of depression and anxiety in India.DesignScoping review.Data sourcesScopus, Embase, CINAHL Plus, PsycINFO, Web of Science and MEDLINE were searched for through September 2019.Eligibility criteria for selecting studiesStudies reporting data on social risk factors for diabetes or hypertension and depression or anxiety in community-based samples of adults from India, published in English in the 10 years to 2019, were included. Studies that did not disaggregate pooled data from other countries were excluded.Data extraction and synthesisTwo independent reviewers extracted study aims; methods; sample size and description; demographic, social and behavioural risk factors and a summary of findings from each paper. Risk factors were synthesised into six emergent themes.ResultsTen studies were considered eligible and included in this review. Nine presented cross-sectional data and one was a qualitative case study. Six themes emerged, that is, demographic factors, economic aspects, social networks, life events, health barriers and health risk behaviours.ConclusionsLiterature relating to the major social risk factors associated with diabetes, hypertension and comorbid depression and anxiety in India is sparse. More research is required to better understand the interactions of social context and social risk factors with non-communicable diseases and comorbid mental health problems so as to better inform management of these in the Indian subcontinent.