Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study

Int J Public Health. 2023 Feb 21:68:1605620. doi: 10.3389/ijph.2023.1605620. eCollection 2023.

Abstract

Objectives: The aim of this study was to explore spousal similarities in cardiovascular risk factors in northern China. Methods: We conducted a cross-sectional study of married couples from Beijing, Hebei, Gansu, and Qinghai provinces between 2015 and 2019. A total of 2,020 couples were included in the final analyses. The spousal similarities for metabolic indicators and cardiovascular risk factors (including lifestyle factors and cardiometabolic diseases) were evaluated using Spearman's correlation and logistic regression analyses, respectively. Results: All metabolic indicators showed positive spousal correlations (p < 0.001), with the strongest for fasting blood glucose (r = 0.30) and the lowest for high-density lipoprotein cholesterol (r = 0.08). Significant husband-wife associations were observed for several cardiovascular risk factors except for hypertension in multivariable models, with the strongest association for physical inactivity (odds ratios with 95% confidence intervals of 3.59 [2.85, 4.52] and 3.54 [2.82, 4.46] for husbands and wives, respectively). In addition, the interaction of age with spousal overweight/obesity status was statistically significant, and the association was stronger in people ≥50 years. Conclusion: There were spousal similarities in cardiovascular risk factors. The finding may have public health implications that targeted screening and interventions for spouses of people with cardiovascular risk factors.

Keywords: cardiometabolic diseases; cardiovascular risk factors; lifestyles; metabolic indicators; spousal concordance.

MeSH terms

  • Cardiovascular Diseases* / epidemiology
  • China / epidemiology
  • Cross-Sectional Studies
  • Heart Disease Risk Factors
  • Humans
  • Middle Aged
  • Obesity
  • Risk Factors
  • Spouses

Grants and funding

This work was supported by the National Key R&D Program of China (Grant No. 2016YFC0900600/2016YFC0900601) and the Key Basic Research Program of the Ministry of Science and Technology of China (Grant No. 2013FY114100).