- •Spousal concordance was observed for several cardiometabolic risk factors.
- •Men had increased hypertension risk if their wives had the same disease.
- •Interventions targeting spouses, rather than individuals, may be more effective.
Background and aims
Few studies have examined and compared spousal concordance in different populations. This study aimed to quantify and compare spousal similarities in cardiometabolic risk factors and diseases between Dutch and Japanese populations.
This cross-sectional study included 28,265 Dutch Lifelines Cohort Study spouse pairs (2006–2013) and 5,391 Japanese Tohoku Medical Megabank Organization (ToMMo) Cohort Study pairs (2013–2016). Spousal similarities in cardiometabolic risk factors were evaluated using Pearson's correlation or logistic regression analyses adjusted for spousal age.
The husbands' and wives’ average ages in the Lifelines and ToMMo cohorts were 50.0 and 47.7 years and 63.2 and 60.4 years, respectively. Significant spousal similarities occurred with all cardiometabolic risk factors and diseases of interest in both cohorts. The age-adjusted correlation coefficients ranged from 0.032 to 0.263, with the strongest correlations observed in anthropometric traits. Spousal odds ratios [95% confidence interval] for the Lifelines vs. ToMMo cohort ranged from 1.45 (1.36–1.55) vs. 1.20 (1.05–1.38) for hypertension to 6.86 (6.30–7.48) vs. 4.60 (3.52–6.02) for current smoking. An increasing trend in spousal concordance with age was observed for sufficient physical activity in both cohorts. For current smoking, those aged 20–39 years showed the strongest concordance between pairs in both cohorts. The Dutch pairs showed stronger similarities in anthropometric traits and lifestyle habits (smoking and drinking) than their Japanese counterparts.
Spouses showed similarities in several cardiometabolic risk factors among Dutch and Japanese populations, with regional and cultural influences on spousal similarities.
To read this article in full you will need to make a payment
Purchase one-time access:Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
One-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:Subscribe to Atherosclerosis
Already a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
- Primary prevention of coronary heart disease: guidance from Framingham: a statement for healthcare professionals from the AHA Task Force on Risk Reduction.American Heart Association, Circulation. 1998; 97: 1876-1887https://doi.org/10.1161/01.CIR.97.18.1876
- Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.Nature. 2011; 478: 103-109https://doi.org/10.1038/nature10405
- Thompson & Thompson - Genetics in Medicine.eighth ed. Elsevier, Amsterdam2015
- Genetic susceptibility to death from coronary heart disease in a study of twins.N. Engl. J. Med. 1994; 330: 1041-1046https://doi.org/10.1056/NEJM199404143301503
- Genetic heritability of ischemic stroke and the contribution of previously reported candidate gene and genomewide associations.Stroke. 2012; 43: 161-167https://doi.org/10.1161/STROKEAHA.112.665760
- Predictive value of factor V Leiden and prothrombin G20210A in adults with venous thromboembolism and in family members of those with a mutation: a systematic review.J. Am. Med. Assoc. 2009; 301: 2472-2485https://doi.org/10.1001/jama.2009.853
- The spread of obesity in a large social network over 32 years.N. Engl. J. Med. 2007; 357: 370-379https://doi.org/10.1056/NEJMsa066082
- Assortative mating, or who marries whom?.Behav. Genet. 1972; 2: 127-157https://doi.org/10.1007/BF01065686
- Alcohol, tobacco and caffeine use: spouse similarity processes.Behav. Genet. 2006; 36: 201-215https://doi.org/10.1007/s10519-005-9026-7
- Spousal concordance for alcohol dependence: evidence for assortative mating or spousal interaction effects?.Alcohol Clin. Exp. Res. 2007; 31: 717-728https://doi.org/10.1111/j.1530-0277.2007.00356.x
- Non-random mating and convergence over time for alcohol consumption, smoking, and exercise: the Nord-Trøndelag Health Study.Behav. Genet. 2012; 42: 354-365https://doi.org/10.1007/s10519-011-9509-7
- Concordance of chronic conditions in older Mexican American couples.Prev. Chronic Dis. 2005; 2: A07
- Spousal concordance of metabolic syndrome in 3141 Korean couples: a nationwide survey.Ann. Epidemiol. 2006; 16: 292-298https://doi.org/10.1016/j.annepidem.2005.07.052
- Spousal concordance for overall health risk status and preventive service compliance.Ann. Epidemiol. 2010; 20: 539-546https://doi.org/10.1016/j.annepidem.2010.03.020
- Familial concordance of metabolic syndrome in Korean population--Korean national health and nutrition examination survey 2005.Diabetes Res. Clin. Pract. 2011; 39: 430-436https://doi.org/10.1016/j.diabres.2011.06.002
- Significant but weak spousal concordance of metabolic syndrome components in Japanese couples.Environ. Health Prev. Med. 2014; 19: 108-116https://doi.org/10.1007/s12199-013-0361-7
- Concordance of health states in couples: analysis of self-reported, nurse administered and blood-based biomarker data in the UK Understanding Society panel.J. Health Econ. 2017; 56: 87-102https://doi.org/10.1016/j.jhealeco.2017.09.010
- Chronic disease concordance within Indian households: a cross-sectional study.PLoS Med. 2017; 14e1002395https://doi.org/10.1371/journal.pmed.1002395
- Concordance in the health behaviors of couples by age: a cross-sectional study.J. Prev. Med. Public Health. 2018; 51: 6-14https://doi.org/10.3961/jpmph.17.137
- Investigating spousal concordance of diabetes through statistical analysis and data mining.PloS One. 2017; 12e0183413https://doi.org/10.1371/journal.pone.0183413
- Spousal concordance for major coronary risk factors: a systematic review and meta-analysis.Am. J. Epidemiol. 2009; 169: 1-8https://doi.org/10.1093/aje/kwn234
- Spousal correlations for lifestyle factors and selected diseases in Chinese couples.Ann. Epidemiol. 2006; 16: 285-291https://doi.org/10.1016/j.annepidem.2005.07.060
- Genetic and environmental effects on blood pressure in a Norwegian sample.Genet. Epidemiol. 1992; 9: 11-26https://doi.org/10.1002/gepi.1370090104
- Cohort profile: LifeLines, a three-generation cohort study and biobank.Int. J. Epidemiol. 2015; 44: 1172-1180https://doi.org/10.1093/ije/dyu229
- The Tohoku medical Megabank project: design and mission.J. Epidemiol. 2016; 26: 493-511https://doi.org/10.2188/jea.JE20150268
- Study profile of the Tohoku medical Megabank community-based cohort study.J. Epidemiol. 2021; 31: 65-76https://doi.org/10.2188/jea.JE20190271
- Diagnosis and management of the metabolic syndrome: an American heart association/national heart, lung, and blood Institute scientific statement.Circulation. 2005; 112: 2735-2752https://doi.org/10.1161/CIRCULATIONAHA.105.169404
- Definition and the diagnostic standard for metabolic syndrome--committee to evaluate diagnostic standards for metabolic syndrome.Nihon Naika Gakkai Zasshi. 2005; 94 (in Japanese): 794-809
- Interethnic analyses of blood pressure loci in populations of East Asian and European descent.Nat. Commun. 2018; 9: 5052https://doi.org/10.1038/s41467-018-07345-0
- Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study.Science. 2016; 354: aaf6814https://doi.org/10.1126/science.aaf6814
- Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins.Lancet. 2005; 366: 1267-1278https://doi.org/10.1016/S0140-6736(05)67394-1
- Spousal concordance for hypertension: a meta-analysis of observational studies.J. Clin. Hypertens. 2017; 19: 1088-1095https://doi.org/10.1111/jch.13084
- Spousal diabetes as a diabetes risk factor: a systematic review and meta-analysis.BMC Med. 2014; 12: 12https://doi.org/10.1186/1741-7015-12-12
- Spousal resemblance for smoking: underlying mechanisms and effects of cohort and age.Drug Alcohol Depend. 2015; 153: 221-228https://doi.org/10.1016/j.drugalcdep.2015.05.018
- Spousal concordance in the use of alternative tobacco products: a multi-country investigation.Drug Alcohol Depend. 2017; 171: 16-19https://doi.org/10.1016/j.drugalcdep.2016.11.017
- Spousal influence on physical activity in middle-aged and older adults: the ARIC Study.Am. J. Epidemiol. 2016; 183: 444-451https://doi.org/10.1093/aje/kwv104
- An extended twin-pedigree study of different classes of voluntary exercise behavior.Behav. Genet. 2020; 50: 94-104https://doi.org/10.1007/s10519-019-09990-7
- Genetic evidence of assortative mating in humans.Nat. Hum. Behav. 2017; 10016https://doi.org/10.1038/s41562-016-0016
- Physical activity intervention in older adults: does a participating partner make a difference?.Eur. J. Ageing. 2011; 8: 211
- Randomized controlled trial examining the ripple effect of a nationally available weight management program on untreated spouses.Obesity. 2018; 26: 499-504https://doi.org/10.1002/oby.22098
- Participation in health check-ups and mortality using propensity score matched cohort analyses.Prev. Med. 2010; 51: 397-402https://doi.org/10.1016/j.ypmed.2010.08.0.17
- Representativeness of the LifeLines cohort study.PloS One. 2015; 10e0137203https://doi.org/10.1371/journal.pone.0137203
Published online: August 25, 2021
Accepted: August 25, 2021
Received in revised form: August 18, 2021
Received: March 7, 2021
© 2021 Elsevier B.V. All rights reserved.