Evidence map›Paper›PMID 32641078›Full record

ArticleBMC cardiovascular disorders2020

Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey.

Saju Madavanakadu Devassy, Martin Webber, Lorane Scaria, Jotheeswaran Amuthavalli Thiyagarajan, Meredith Fendt-Newlin, Jacques Joubert, Anuja Maria Benny, Anjana Nannatt, Lynette Joubert

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

Saju Madavanakadu DevassyRajagiri College of Social Sciences (Autonomous), Rajagiri P. O, Kalamassery, Kochi, Kerala, 683 104, India.
Martin WebberInternational Centre for Mental Health Social Research, Department of Social Policy and Social Work, University of York, York, Heslington, YO10 5DD, UK. martin.webber@york.ac.uk.ORCID 0000-0003-3604-1376
Lorane ScariaRajagiri College of Social Sciences (Autonomous), Rajagiri P. O, Kalamassery, Kochi, Kerala, 683 104, India.
Jotheeswaran Amuthavalli ThiyagarajanDepartment of Ageing and Life Course, World Health Organization, Geneva, Switzerland.
Meredith Fendt-NewlinInternational Centre for Mental Health Social Research, Department of Social Policy and Social Work, University of York, York, Heslington, YO10 5DD, UK.
Jacques JoubertUniversity of Melbourne, Melbourne, Australia.
Anuja Maria BennyRajagiri College of Social Sciences (Autonomous), Rajagiri P. O, Kalamassery, Kochi, Kerala, 683 104, India.
Anjana NannattRajagiri College of Social Sciences (Autonomous), Rajagiri P. O, Kalamassery, Kochi, Kerala, 683 104, India.
Lynette JoubertUniversity of Melbourne, Melbourne, Australia.
Rajagiri Hospital · INThe University of Melbourne · AUCentre for Mental Health · GBKing's College London · GBWorld Health Organization - Pakistan · PK

Funding

UK-India Education and Research Initiative IND/CONT/G/16-17/74World Health Organization 001
6 · The paper itself

Abstract

backgroundCardiovascular 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.

methodsA 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.

resultsThe 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.

conclusionsInterventions 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.

Indexed as

Health BehaviorHealth Knowledge, Attitudes, PracticeLife StyleMental HealthRisk Reduction BehaviorSocial Determinants of HealthAdultAgedAnxietyCardiovascular DiseasesCatchment Area, HealthComorbidityCross-Sectional StudiesDepressionDiabetes MellitusFemaleCommon mental health problemsDiabetesHypertensionIndiaSocial risk

Identifiers

PMID32641078
PMCPMC7346640
OpenAlexW3040997439

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.