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Published in: BMC Cardiovascular Disorders 1/2020

Open Access 01-12-2020 | Affective Disorder | Research article

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

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

Published in: BMC Cardiovascular Disorders | Issue 1/2020

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Abstract

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.
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Literature
1.
go back to reference Naghavi M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2017;390(10100):1151–210. Naghavi M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2017;390(10100):1151–210.
2.
go back to reference Prabhakaran D, Jeemon P, Sharma M, Roth GA, Johnson C, Harikrishnan S, et al. The changing patterns of cardiovascular diseases and their risk factors in the states of India: the global burden of disease study 1990–2016. Lancet Glob Health. 2018;6(12):e1339–e51. Prabhakaran D, Jeemon P, Sharma M, Roth GA, Johnson C, Harikrishnan S, et al. The changing patterns of cardiovascular diseases and their risk factors in the states of India: the global burden of disease study 1990–2016. Lancet Glob Health. 2018;6(12):e1339–e51.
3.
go back to reference World Health Organisation. Global status report on noncommunicable diseases 2014. Geneva: World Health Organisation; 2014. World Health Organisation. Global status report on noncommunicable diseases 2014. Geneva: World Health Organisation; 2014.
4.
go back to reference Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers C, et al. Chronic diseases and injuries in India. Lancet. 2011;377(9763):413–28.PubMed Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers C, et al. Chronic diseases and injuries in India. Lancet. 2011;377(9763):413–28.PubMed
5.
go back to reference Razzaque A, Nahar L, Van Minh H, Ng N, Juvekar S, Ashraf A, et al. Social factors and overweight: evidence from nine Asian INDEPTH network sites. Glob Health Action. 2009;2(1):1991. Razzaque A, Nahar L, Van Minh H, Ng N, Juvekar S, Ashraf A, et al. Social factors and overweight: evidence from nine Asian INDEPTH network sites. Glob Health Action. 2009;2(1):1991.
6.
go back to reference Bajaj S, Jawad F, Islam N, Mahtab H, Bhattarai J, Shrestha D, et al. South Asian women with diabetes: psychosocial challenges and management: consensus statement. Indian J Endocrinol Metab. 2013;17(4):548–62.PubMedPubMedCentral Bajaj S, Jawad F, Islam N, Mahtab H, Bhattarai J, Shrestha D, et al. South Asian women with diabetes: psychosocial challenges and management: consensus statement. Indian J Endocrinol Metab. 2013;17(4):548–62.PubMedPubMedCentral
7.
go back to reference Anchala R, Kannuri NK, Pant H, Khan H, Franco OH, Di Angelantonio E, et al. Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J Hypertens. 2014;32(6):1170–7.PubMedPubMedCentral Anchala R, Kannuri NK, Pant H, Khan H, Franco OH, Di Angelantonio E, et al. Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J Hypertens. 2014;32(6):1170–7.PubMedPubMedCentral
8.
go back to reference Kulkarni M. Social determinants of health: the role of neighbourhoods, psychological factors and health behaviours in predicting health outcomes for the urban poor in India. J Health Psychol. 2013;18(1):96–109.PubMed Kulkarni M. Social determinants of health: the role of neighbourhoods, psychological factors and health behaviours in predicting health outcomes for the urban poor in India. J Health Psychol. 2013;18(1):96–109.PubMed
9.
go back to reference Suchday S, Kapur S, Ewart CK, Friedberg JP. Urban stress and health in developing countries: development and validation of a neighborhood stress index for India. Behav Med. 2006;32(3):77–86.PubMed Suchday S, Kapur S, Ewart CK, Friedberg JP. Urban stress and health in developing countries: development and validation of a neighborhood stress index for India. Behav Med. 2006;32(3):77–86.PubMed
10.
go back to reference Samuel P, Antonisamy B, Raghupathy P, Richard J, Fall CH. Socio-economic status and cardiovascular risk factors in rural and urban areas of Vellore, Tamilnadu, South India. Int J Epidemiol. 2012;41(5):1315–27.PubMed Samuel P, Antonisamy B, Raghupathy P, Richard J, Fall CH. Socio-economic status and cardiovascular risk factors in rural and urban areas of Vellore, Tamilnadu, South India. Int J Epidemiol. 2012;41(5):1315–27.PubMed
11.
go back to reference Vellakkal S, Subramanian SV, Millett C, Basu S, Stuckler D, Ebrahim S. Socioeconomic inequalities in non-communicable diseases prevalence in India: disparities between self-reported diagnoses and standardized measures. PLoS One. 2013;8(7):e68219.PubMedPubMedCentral Vellakkal S, Subramanian SV, Millett C, Basu S, Stuckler D, Ebrahim S. Socioeconomic inequalities in non-communicable diseases prevalence in India: disparities between self-reported diagnoses and standardized measures. PLoS One. 2013;8(7):e68219.PubMedPubMedCentral
12.
go back to reference Srivastava RK, Bachani D. Burden of NCDs, policies and Programme for prevention and control of NCDs in India. Indian J Community Med. 2011;36(Suppl 1):S7–s12.PubMedPubMedCentral Srivastava RK, Bachani D. Burden of NCDs, policies and Programme for prevention and control of NCDs in India. Indian J Community Med. 2011;36(Suppl 1):S7–s12.PubMedPubMedCentral
13.
go back to reference Gupta R, Gaur K, CV SR. Emerging trends in hypertension epidemiology in India. J Hum Hypertens. 2019;33(8):575–87.PubMed Gupta R, Gaur K, CV SR. Emerging trends in hypertension epidemiology in India. J Hum Hypertens. 2019;33(8):575–87.PubMed
14.
go back to reference Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania P. Regional variations in cardiovascular risk factors in India: India heart watch. World J Cardiol. 2012;4(4):112–20.PubMedPubMedCentral Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania P. Regional variations in cardiovascular risk factors in India: India heart watch. World J Cardiol. 2012;4(4):112–20.PubMedPubMedCentral
15.
go back to reference Madavanakadu Devassy S, Benny AM, Scaria L, Nannat A, Fendt-Newlin M, Joubert J, Joubert L. & Webber M. Social factors associated with chronic non-communicable disease and comorbidity with mental health problems in India: a scoping review. BMJ Open. 2020;10:e035590. https://doi.org/10.1136/bmjopen-2019-035590. Madavanakadu Devassy S, Benny AM, Scaria L, Nannat A, Fendt-Newlin M, Joubert J, Joubert L. & Webber M. Social factors associated with chronic non-communicable disease and comorbidity with mental health problems in India: a scoping review. BMJ Open. 2020;10:e035590. https://​doi.​org/​10.​1136/​bmjopen-2019-035590.
16.
go back to reference Basu S, Millett C. Social epidemiology of hypertension in middle-income countries. Hypertension. 2013;62(1):18–26.PubMed Basu S, Millett C. Social epidemiology of hypertension in middle-income countries. Hypertension. 2013;62(1):18–26.PubMed
17.
go back to reference Dobe M. Health promotion for prevention and control of non-communicable diseases: unfinished agenda. Indian J Public Health. 2012;56(3):180–6.PubMed Dobe M. Health promotion for prevention and control of non-communicable diseases: unfinished agenda. Indian J Public Health. 2012;56(3):180–6.PubMed
18.
go back to reference Marmot M, Friel S, Bell R, Houweling TAJ, Taylor S. Closing the gap in a generation: health equity through action on the social determinants of health. Lancet. 2008;372(9650):1661–9.PubMed Marmot M, Friel S, Bell R, Houweling TAJ, Taylor S. Closing the gap in a generation: health equity through action on the social determinants of health. Lancet. 2008;372(9650):1661–9.PubMed
19.
go back to reference American Diabetes Association. Standards of medical Care in Diabetes. Diabetes Care. 2005;28(suppl 1):s4–s36. American Diabetes Association. Standards of medical Care in Diabetes. Diabetes Care. 2005;28(suppl 1):s4–s36.
20.
go back to reference World Health Organisation. The WHO STEPwise approach to surveillance of noncommunicable diseases (STEPS). Geneva: World Health Organisation; 2003. World Health Organisation. The WHO STEPwise approach to surveillance of noncommunicable diseases (STEPS). Geneva: World Health Organisation; 2003.
21.
go back to reference Geldsetzer P, Manne-Goehler J, Theilmann M, Davies JI, Awasthi A, Vollmer S, et al. Diabetes and hypertension in India: a nationally representative study of 1.3 million adults. JAMA Intern Med. 2018;178(3):363–72.PubMedPubMedCentral Geldsetzer P, Manne-Goehler J, Theilmann M, Davies JI, Awasthi A, Vollmer S, et al. Diabetes and hypertension in India: a nationally representative study of 1.3 million adults. JAMA Intern Med. 2018;178(3):363–72.PubMedPubMedCentral
22.
go back to reference Ramakrishnan S, Zachariah G, Gupta K, Shivkumar Rao J, Mohanan PP, Venugopal K, et al. Prevalence of hypertension among Indian adults: results from the great India blood pressure survey. Indian Heart J. 2019;71(4):309–13.PubMedPubMedCentral Ramakrishnan S, Zachariah G, Gupta K, Shivkumar Rao J, Mohanan PP, Venugopal K, et al. Prevalence of hypertension among Indian adults: results from the great India blood pressure survey. Indian Heart J. 2019;71(4):309–13.PubMedPubMedCentral
23.
go back to reference Desormais I, Amidou SA, Houehanou YC, Houinato SD, Gbagouidi GN, Preux PM, et al. The prevalence, awareness, management and control of hypertension in men and women in Benin, West Africa: the TAHES study. BMC Cardiovasc Disord. 2019;19(1):303.PubMedPubMedCentral Desormais I, Amidou SA, Houehanou YC, Houinato SD, Gbagouidi GN, Preux PM, et al. The prevalence, awareness, management and control of hypertension in men and women in Benin, West Africa: the TAHES study. BMC Cardiovasc Disord. 2019;19(1):303.PubMedPubMedCentral
24.
go back to reference Chow CK, Teo KK, Rangarajan S, Islam S, Gupta R, Avezum A, et al. Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. Jama. 2013;310(9):959–68.PubMed Chow CK, Teo KK, Rangarajan S, Islam S, Gupta R, Avezum A, et al. Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. Jama. 2013;310(9):959–68.PubMed
25.
go back to reference Lloyd-Sherlock P, Beard J, Minicuci N, Ebrahim S, Chatterji S. Hypertension among older adults in low- and middle-income countries: prevalence, awareness and control. Int J Epidemiol. 2014;43(1):116–28.PubMedPubMedCentral Lloyd-Sherlock P, Beard J, Minicuci N, Ebrahim S, Chatterji S. Hypertension among older adults in low- and middle-income countries: prevalence, awareness and control. Int J Epidemiol. 2014;43(1):116–28.PubMedPubMedCentral
26.
go back to reference Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. 2nd ed. Psychology Foundation: Sydnet; 1995. Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. 2nd ed. Psychology Foundation: Sydnet; 1995.
27.
go back to reference Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the depression anxiety stress scales (DASS) in clinical samples. Behav Res Ther. 1997;35(1):79–89.PubMed Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the depression anxiety stress scales (DASS) in clinical samples. Behav Res Ther. 1997;35(1):79–89.PubMed
28.
go back to reference Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behav Res Ther. 1995;33:335–43.PubMed Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behav Res Ther. 1995;33:335–43.PubMed
29.
go back to reference Singh K, Junnarkar M, Sharma S. Anxiety, stress, depression, and psychosocial functioning of Indian adolescents. Indian J Psychiatry. 2015;57(4):367–74.PubMedPubMedCentral Singh K, Junnarkar M, Sharma S. Anxiety, stress, depression, and psychosocial functioning of Indian adolescents. Indian J Psychiatry. 2015;57(4):367–74.PubMedPubMedCentral
30.
go back to reference Jotheeswaran AT, Williams JD, Prince MJ. Predictors of mortality among elderly people living in a south Indian urban community; a 10/66 dementia research group prospective population-based cohort study. BMC Public Health. 2010;10(1):366.PubMedPubMedCentral Jotheeswaran AT, Williams JD, Prince MJ. Predictors of mortality among elderly people living in a south Indian urban community; a 10/66 dementia research group prospective population-based cohort study. BMC Public Health. 2010;10(1):366.PubMedPubMedCentral
31.
go back to reference Aguilera MB. The impact of social capital on labor force participation: evidence from the 2000 social capital benchmark survey. Soc Sci Q. 2002;83(3):853–74. Aguilera MB. The impact of social capital on labor force participation: evidence from the 2000 social capital benchmark survey. Soc Sci Q. 2002;83(3):853–74.
32.
go back to reference Wenger G, Liu J. Support networks in Beijing (China) and Liverpool (UK): differences and similarities. Hallym Int J Aging. 1999;1(2):47–57. Wenger G, Liu J. Support networks in Beijing (China) and Liverpool (UK): differences and similarities. Hallym Int J Aging. 1999;1(2):47–57.
33.
go back to reference A. Thiyagarajan J, Prince M, Webber M. Social support network typologies and health outcomes of older people in low and middle income countries – a 10/66 dementia research group population-based study. Int Rev Psychiatr 2014;26(4):476–485. A. Thiyagarajan J, Prince M, Webber M. Social support network typologies and health outcomes of older people in low and middle income countries – a 10/66 dementia research group population-based study. Int Rev Psychiatr 2014;26(4):476–485.
34.
go back to reference Üstün TB, Kostanjsek N, Chatterji S, Rehm J. World Health Organisation. Measuring health and disability: manual for WHO disability assessment schedule (WHODAS 2.0). Geneva: World Health Organization; 2010. Üstün TB, Kostanjsek N, Chatterji S, Rehm J. World Health Organisation. Measuring health and disability: manual for WHO disability assessment schedule (WHODAS 2.0). Geneva: World Health Organization; 2010.
35.
go back to reference Sousa RM, Dewey ME, Acosta D, Jotheeswaran AT, Castro-Costa E, Ferri CP, et al. Measuring disability across cultures--the psychometric properties of the WHODAS II in older people from seven low- and middle-income countries. The 10/66 dementia research group population-based survey. Int J Methods Psychiatr Res. 2010;19(1):1–17.PubMedPubMedCentral Sousa RM, Dewey ME, Acosta D, Jotheeswaran AT, Castro-Costa E, Ferri CP, et al. Measuring disability across cultures--the psychometric properties of the WHODAS II in older people from seven low- and middle-income countries. The 10/66 dementia research group population-based survey. Int J Methods Psychiatr Res. 2010;19(1):1–17.PubMedPubMedCentral
36.
go back to reference Macready GB, Mitchell DC. The application of latent class models in adaptive testing. Psychometrika. 1992;57(1):71–88. Macready GB, Mitchell DC. The application of latent class models in adaptive testing. Psychometrika. 1992;57(1):71–88.
37.
go back to reference Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Pal A, et al. Prevalence and risk factors of diabetes in a large community-based study in North India: results from a STEPS survey in Punjab, India. Diabetol Metab Syndrome. 2017;9(1):8. Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Pal A, et al. Prevalence and risk factors of diabetes in a large community-based study in North India: results from a STEPS survey in Punjab, India. Diabetol Metab Syndrome. 2017;9(1):8.
38.
go back to reference Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR–INDIAB population-based cross-sectional study. Lancet Diab Endocrinol. 2017;5(8):585–96. Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, et al. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR–INDIAB population-based cross-sectional study. Lancet Diab Endocrinol. 2017;5(8):585–96.
39.
go back to reference Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, Di Angelantonio E, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375(9733):2215–22.PubMed Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, Di Angelantonio E, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375(9733):2215–22.PubMed
40.
go back to reference Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217–23.PubMed Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217–23.PubMed
41.
go back to reference Poongothai S, Pradeepa R, Ganesan A, Mohan V. Prevalence of depression in a large urban south Indian population — the Chennai urban rural epidemiology study (cures – 70). PLoS One. 2009;4(9):e7185.PubMedPubMedCentral Poongothai S, Pradeepa R, Ganesan A, Mohan V. Prevalence of depression in a large urban south Indian population — the Chennai urban rural epidemiology study (cures – 70). PLoS One. 2009;4(9):e7185.PubMedPubMedCentral
42.
go back to reference Babu AR, Sreedevi A, John A, Krishnapillai V. Prevalence and determinants of somatization and anxiety among adult women in an urban population in Kerala. Ind J Commun Med. 2019;44(Suppl 1):S66–S9. Babu AR, Sreedevi A, John A, Krishnapillai V. Prevalence and determinants of somatization and anxiety among adult women in an urban population in Kerala. Ind J Commun Med. 2019;44(Suppl 1):S66–S9.
43.
go back to reference Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study. BMJ. 2010;341:c4974.PubMedPubMedCentral Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study. BMJ. 2010;341:c4974.PubMedPubMedCentral
44.
go back to reference Singh PK, Singh L, Dubey R, Singh S, Mehrotra R. Socioeconomic determinants of chronic health diseases among older Indian adults: a nationally representative cross-sectional multilevel study. BMJ Open. 2019;9(9):e028426.PubMedPubMedCentral Singh PK, Singh L, Dubey R, Singh S, Mehrotra R. Socioeconomic determinants of chronic health diseases among older Indian adults: a nationally representative cross-sectional multilevel study. BMJ Open. 2019;9(9):e028426.PubMedPubMedCentral
45.
go back to reference Aswathy S, Lohidas V, Paul N, Anish TS, Narayanan T, Oldenburg B. Prevalence and Social Determinants of Type 2 Diabetes in a Coastal Area of Kerala, India. J Endocrinol Diab. 2017;4(3). Aswathy S, Lohidas V, Paul N, Anish TS, Narayanan T, Oldenburg B. Prevalence and Social Determinants of Type 2 Diabetes in a Coastal Area of Kerala, India. J Endocrinol Diab. 2017;4(3).
46.
go back to reference Pati S, Agrawal S, Swain S, Lee JT, Vellakkal S, Hussain MA, et al. Non communicable disease multimorbidity and associated health care utilization and expenditures in India: cross-sectional study. BMC Health Serv Res. 2014;14(1):451.PubMedPubMedCentral Pati S, Agrawal S, Swain S, Lee JT, Vellakkal S, Hussain MA, et al. Non communicable disease multimorbidity and associated health care utilization and expenditures in India: cross-sectional study. BMC Health Serv Res. 2014;14(1):451.PubMedPubMedCentral
47.
go back to reference Salinero-Fort MA, Gómez-Campelo P, San Andrés-Rebollo FJ, Cárdenas-Valladolid J, Abánades-Herranz JC, Carrillo de Santa Pau E, et al. Prevalence of depression in patients with type 2 diabetes mellitus in Spain (the DIADEMA Study) : results from the MADIABETES cohort. BMJ Open. 2018;8(9):e020768.PubMedPubMedCentral Salinero-Fort MA, Gómez-Campelo P, San Andrés-Rebollo FJ, Cárdenas-Valladolid J, Abánades-Herranz JC, Carrillo de Santa Pau E, et al. Prevalence of depression in patients with type 2 diabetes mellitus in Spain (the DIADEMA Study) : results from the MADIABETES cohort. BMJ Open. 2018;8(9):e020768.PubMedPubMedCentral
48.
go back to reference Abdel-All M, Thrift AG, Riddell M, Thankappan KRT, Mini GK, Chow CK, et al. Evaluation of a training program of hypertension for accredited social health activists (ASHA) in rural India. BMC Health Serv Res. 2018;18(1):320.PubMedPubMedCentral Abdel-All M, Thrift AG, Riddell M, Thankappan KRT, Mini GK, Chow CK, et al. Evaluation of a training program of hypertension for accredited social health activists (ASHA) in rural India. BMC Health Serv Res. 2018;18(1):320.PubMedPubMedCentral
49.
50.
go back to reference Everson-Rose SA, Lewis TT. Psychosocial factors and cardiovascular diseases. Annu Rev Public Health. 2005;26(1):469–500.PubMed Everson-Rose SA, Lewis TT. Psychosocial factors and cardiovascular diseases. Annu Rev Public Health. 2005;26(1):469–500.PubMed
Metadata
Title
Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey
Authors
Saju Madavanakadu Devassy
Martin Webber
Lorane Scaria
Jotheeswaran Amuthavalli Thiyagarajan
Meredith Fendt-Newlin
Jacques Joubert
Anuja Maria Benny
Anjana Nannatt
Lynette Joubert
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2020
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-020-01595-x

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