A comparative cross-sectional study on the prevalence of spousal concordance of hypertension and diabetes among the inhabitants of urban and rural field practice areas
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20261041Keywords:
Diabetes mellitus, Hypertension, NCD, Spousal concordanceAbstract
Background: The burden of non-communicable diseases, particularly diabetes and hypertension, is increasing globally, affecting nearly 1.8 billion people. In India, around 77 million individuals have diabetes, and nearly 30% of adults are hypertensive. “Couple concordance” refers to the presence of the same disease in both partners. As couples often share similar lifestyles, studying concordance helps in understanding shared risk factors. Objectives were to assess the prevalence of couple concordance for hypertension and diabetes and to identify associated factors.
Methods: A cross-sectional study was conducted among 316 married couples in rural and urban field practice areas of a tertiary care centre from May to June 2025. Couples with both partners aged ≥40 years were included. Data were collected using a semi-structured questionnaire through interviews, employing systematic random sampling. Analysis was performed using SPSS version 26.0.
Results: The prevalence of couple concordance was 10.8% for diabetes and 13% for hypertension, while 8.6% of couples had both conditions. Higher concordance was significantly associated with lower socioeconomic status and lower educational levels.
Conclusions: A notable prevalence of spousal concordance for diabetes and hypertension was observed, especially among disadvantaged groups. These findings emphasize the need for couple-based preventive strategies, including lifestyle modification, health education, and early screening, to reduce the shared burden of NCDs.
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References
World Health Organization. Hypertension. Available at: https://www.who.int/health-topics/ hypertension#tab=tab_1. Accessed on 14 December 2025.
World Health Organization. Diabetes. Available at: https://www.who.int/health-topics/diabetes#tab= tab_1. Accessed on 14 December 2025.
International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels: International Diabetes Federation; 2021.
Meyler D, Stimpson JP, Peek MK. Health concordance within couples: a systematic review. Soc Sci Med. 2007;64(11):2297-310. DOI: https://doi.org/10.1016/j.socscimed.2007.02.007
Di Castelnuovo A, Quacquaruccio G, Donati MB, de Gaetano G, Iacoviello L. Spousal concordance for major cardiovascular risk factors: a systematic review and meta-analysis. Am J Epidemiol. 2009;169(1):1-8. DOI: https://doi.org/10.1093/aje/kwn234
Jackson SE, Steptoe A, Wardle J. The influence of partner’s behavior on health behavior change: the English longitudinal study of ageing. JAMA Intern Med. 2015;175(3):385-92. DOI: https://doi.org/10.1001/jamainternmed.2014.7554
Wang Z, Ji W, Song Y, Li J, Shen Y, Zheng H, et al. Spousal concordance for hypertension: A meta-analysis of observational studies. J Clin Hypertens (Greenwich). 2017;19(11):1088-95. DOI: https://doi.org/10.1111/jch.13084
Varghese JS, Lu P, Choi D, Kobayashi LC, Ali MK, Patel SA, et al. Spousal concordance of hypertension among middle-aged and older heterosexual couples around the world: evidence from studies of aging in the United States, England, China, and India. J Am Heart Assoc. 2023;12:e030765. DOI: https://doi.org/10.1161/JAHA.123.030765
Nayak G, Ghosal S, Ghosal J, Dutta A. What causes concordance of hypertension between spouses in India? Identifying a critical knowledge gap from a nationally representative cross-sectional sample of 63,020 couples aged ≥15 years. BMC Public Health. 2023;23:1434. DOI: https://doi.org/10.1186/s12889-023-16379-z
Khan A, Lasker SS, Chowdhury TA. Are spouses of patients with type 2 diabetes at increased risk of developing diabetes? Diabetes Care. 2003;26(3):710-2. DOI: https://doi.org/10.2337/diacare.26.3.710
Watanabe T, Sugiyama T, Takahashi H, Noguchi H, Tamiya N. Concordance of hypertension, diabetes and dyslipidaemia in married couples: a cross-sectional study using nationwide survey data in Japan. BMJ Open. 2020;10:e036281. DOI: https://doi.org/10.1136/bmjopen-2019-036281
Qin Y, Guo Y, Tang Y, Wu C, Zhang X, He Q, et al. Concordance of chronic conditions among household members in Shanghai: a cross-sectional study. BMJ Open. 2019;9:e031240. DOI: https://doi.org/10.1136/bmjopen-2019-031240
Patel SA, Dhillon PK, Kondal D, Jeemon P, Kahol K, Manimunda SP, et al. Chronic disease concordance within Indian households: a cross-sectional study. PLoS Med. 2017;14(9):e1002395. DOI: https://doi.org/10.1371/journal.pmed.1002395
Jun SY, Kang M, Kang SY, Lee JA, Kim YS. Spousal concordance regarding lifestyle factors and chronic diseases among couples visiting primary care providers in Korea. Korean J Fam Med. 2020;41(3):183-8. DOI: https://doi.org/10.4082/kjfm.18.0104
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