4.6 Article

Prevalence of Diabetes and Cardiometabolic Disorders in Spouses of Diabetic Individuals

Journal

AMERICAN JOURNAL OF EPIDEMIOLOGY
Volume 184, Issue 5, Pages 400-409

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwv330

Keywords

cardiometabolic disorders; concordance; cross-sectional studies; diabetes mellitus; type 2; spouses

Funding

  1. National Clinical Research Center for Metabolic Diseases [2013BAI09B13]
  2. Ministry of Health [201502007]
  3. Ministry of Science and Technology [2015BAI12B14, 2016YFC0901200]
  4. National Basic Research Program of China (973 Program) [2015CB553601]
  5. National Natural Science Foundation of China [81321001, 81390350, 81130016, 81561128019]

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Pairs of spouses share common lifestyle factors. In a cross-sectional analysis, we investigated whether spouses of diabetic individuals had a higher prevalence of diabetes and cardiometabolic disorders in a community-based population of Chinese adults aged 40 years or older between 2011 and 2012. A total of 34,805 pairs of spouses were identified. All participants underwent a standard oral glucose tolerance test and provided detailed clinical, sociodemographic, and lifestyle information. Diabetes and multiple cardiometabolic disorders were defined according to standard criteria. Compared with participants whose spouses did not have diabetes, participants whose spouses had diabetes had higher odds of having diabetes (for men, odds ratio (OR) = 1.33, 95% confidence interval (CI): 1.22, 1.45; for women, OR = 1.35, 95% CI: 1.24, 1.47), obesity (for men, OR = 1.34, 95% CI: 1.13, 1.59; for women, OR = 1.19, 95% CI: 1.05, 1.35), metabolic syndrome (for men, OR = 1.31, 95% CI: 1.21, 1.42; for women, OR = 1.12, 95% CI: 1.04, 1.20), and cardiovascular disease (for men, OR = 1.18, 95% CI: 1.03, 1.34; for women, OR = 1.18, 95% CI: 1.03, 1.35). The associations were independent of age, body mass index, education, family history of diabetes, cigarette smoking, alcohol drinking, physical activity, and diet. Spousal diabetes was simple and valuable information for identifying individuals at risk for diabetes and cardiometabolic disorders.

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