Abstract
Objectives
The study aims to examine the linkages between occupation and elevated blood pressure among men aged 25–54 years in India.
Methods
The study is based on the National Family Health Survey India, 2015–16. Age-standardized prevalence rates, χ2 tests and multivariable ordered logistic regression models were used to fulfill the study objectives.
Results
In India, more than five out of hundred men of age group 25–54 years are suffering from moderately or severely elevated blood pressure levels. The findings depict an occupation wise inequality in the elevated blood pressure levels. Men belonging to professional-managerial-technical (PR = 6.42 per 100 men) and sales (PR = 6.10 per 100 men) occupational groups are facing a much higher burden. From the fitted multivariable ordered logistic models, we found that highly educated-unemployed and married-unemployed men were found to be at higher risk of elevated blood pressure levels.
Conclusions
The study found linkages between the occupation of men and elevated blood pressure levels in India. Urgent attention is needed to the vulnerable occupational groups like professional-technical-managerial, clerical, and sales with a special focus to the unemployed cohort of the country.
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References
Anchala R, Kannuri NK, Pant H et al (2014) Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J Hypertens 32:1170–1177. https://doi.org/10.1097/HJH.0000000000000146
Babu GR, Mahapatra T, Detels R (2013) Job stress and hypertension in younger software professionals in India. Indian J Occup Environ Med 17:101–107
Banu NS (2014) Changing occupational structure and economic condition of farm labourers in India: a study. https://www.indiastat.com/SOCIO_PDF/120/fulltext.pdf. Accessed 12 June 2019
Bloomberg (2019) India’s caste system. https://www.bloomberg.com/quicktake/india-s-caste-system. Accessed 14 Mar 2020
Chobanian AV, Bakris GL, Black HR et al (2003) Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension 42:1206–1252. https://doi.org/10.1161/01.HYP.0000107251.49515.c2
Corsi DJ, Subramanian SV (2012) Association between socioeconomic status and self-reported diabetes in India: a crosssectional multilevel analysis. BMJ Open 2:1–12
Cuffee Y, Ogedegbe C, Williams NJ et al (2014) Psychosocial risk factors for hypertension: an update of the Literature. Curr Hypertens Rep. https://doi.org/10.1007/s11906-014-0483-3
Devi P, Rao M, Sigamani A et al (2013) Prevalence, risk factors and awareness of hypertension in India: a systematic review. J Hum Hypertens 27:281–287. https://doi.org/10.1038/jhh.2012.33
DHS (2018) The DHS Program—India: standard DHS, 2015–16. https://dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm?flag=1. Accessed 2 Feb 2019
Greiner BA, Krause N, Ragland D et al (2004) Occupational stressors and hypertension: a multi-method study using observer-based job analysis and self-reports in urban transit operators. Soc Sci Med 59:1081–1094. https://doi.org/10.1016/j.socscimed.2003.12.006
Grotto I, Huerta M, Sharabi Y (2008) Hypertension and socioeconomic status. Curr Opin Cardiol 4:335–339. https://doi.org/10.1097/HCO.0b013e3283021c70
Gupta R, Deedwania C, Sharma K et al (2012) Association of education, occupational and socio-economic status with cardiovascular risk factor in Asian Indian: a cross sectional study. PLoS ONE 7:1–10
Hamano T, Kimura Y, Takeda M et al (2012) Effect of environmental and lifestyle factors on hypertension: shimane COHRE Study. PLoS ONE. https://doi.org/10.1371/journal.pone.0049122
Hazarika NC, Biswas D, Narain K et al (2002) Hypertension and its risk factors in tea garden workers of Assam. Natl Med J India 15:63–68
House JS, Wells JA, Landerman LR et al (1979) Occupational stress and health among factory workers. J Health Soc Behav 20:139–160
IIPS (2017) National family health survey (NFHS-4), India. http://rchiips.org/nfhs/NFHS-4Reports/India.pdf. Accessed 2 Feb 2019
Kessler RC, Wai TC, Demler O et al (2005) Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the national comorbidity survey replication. Arch Gen Psychiatry 62:617–627. https://doi.org/10.1001/archpsyc.62.6.617
Kearney P, Whelton M, Reynolds K et al (2005) Global burden of hypertension: analysis of worldwide data. Lancet 365:217–223
Kinra S, Bowen LJ, Lyngdoh T et al (2010) Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study. BMJ Open 341:c4974. https://doi.org/10.1136/bmj.c4974
Le C, Jun D, Yichun L et al (2011) Multilevel analysis of the determinants of pre-hypertension and hypertension in rural southwest china. Public Health Rep 126:420–427. https://doi.org/10.1177/003335491112600316
Liu MY, Li N, Li WA et al (2017) Association between psychosocial stress and hypertension: a systematic review and meta-analysis. Neurol Res 39:573–580. https://doi.org/10.1080/01616412.2017.1317904
Nomura K, Nakao M, Karita K et al (2005) Association between work-related psychological stress and arterial stiffness measured by brachial-ankle pulse-wave velocity in young Japanese males from an information service company. Scand J Work Environ Health 31:352–359. https://doi.org/10.5271/sjweh.918
Nordstrom CK, Dwyer KM, Bairey Merz CN et al (2001) Work-related stress and early atherosclerosis. Epidemiology 12:180–185. https://doi.org/10.1097/00001648-200103000-00009
Patel S, Ram U, Ram F et al (2019) Socioeconomic and demographic predictors of high blood pressure, diabetes, asthma and heart disease among adults engaged in various occupations : evidence from India. J Biosoc Sci. https://doi.org/10.1017/S0021932019000671
Puri P, Singh SK, Srivastava S (2020) Reporting heterogeneity in the measurement of hypertension and diabetes in India. J Public Health 28:23–30
Ventura HO, Lavie CJ (2016) Impact of comorbidities in hypertension. Curr Opin Cardiol 31:374–375. https://doi.org/10.1097/HCO.0000000000000302
Wandera SO, Kwagala B, Ntozi J (2015) Prevalence and risk factors for self-reported non-communicable diseases among older Ugandans: a cross-sectional study. Global Health Action 8(1):27923
WHO (2013) A global brief on hypertension: silent killer, global public health crisis. https://www.who.int/cardiovascular_diseases/publications/global_brief_hypertension/en/. Accessed 12 June 2019
WHO (2019) Hypertension. https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed 12 Nov 2019
Acknowledgments
The authors are thankful to Ms. Parul Puri, Senior Research Fellow, International Institute for Population Sciences (IIPS), India, for her suggestions to modify the paper and also for providing the English editting support. The authors also acknowledge the anonymous reviewers and editor for their fruitful comments and suggestions.
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The present research did not receive any kind of grant from funding agencies in the public, commercial, or not-for-profit sectors.
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CS conceptualized the study. AS analyzed the data, interpreted the findings and prepared the first draft of the manuscript. Both CS and AS reviewed and revised the final draft of the manuscript. AS and CS contributed equally to the paper. All authors read and approved the final manuscript.
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The analysis is based on secondary data available in public domain for research; thus, no approval was required from any institutional review board (IRB). However, the principal Investigations have sought approval from the IRB of International Institute for Population Sciences (IIPS), Mumbai, India.
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Data is freely available on the Demographic and Health Survey (DHS) website: https://dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm?flag=1 .
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Shekhar, C., Shil, A. Linkages between occupation and elevated blood pressure among men in India: a cross-sectional study. Int J Public Health 65, 835–846 (2020). https://doi.org/10.1007/s00038-020-01411-5
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DOI: https://doi.org/10.1007/s00038-020-01411-5