Published in:
01-07-2018 | Article
Spousal cardiometabolic risk factors and incidence of type 2 diabetes: a prospective analysis from the English Longitudinal Study of Ageing
Authors:
Jannie Nielsen, Adam Hulman, Daniel R. Witte
Published in:
Diabetologia
|
Issue 7/2018
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Abstract
Aims/hypothesis
In the UK, more than one million people have undiagnosed diabetes and an additional five million are at high risk of developing the disease. Given that early identification of these people is key for both primary and secondary prevention, new screening approaches are needed. Since spouses resemble each other in cardiometabolic risk factors related to type 2 diabetes, we aimed to investigate whether diabetes and cardiometabolic risk factors in one spouse can be used as an indicator of incident type 2 diabetes in the other spouse.
Methods
We analysed data from 3649 men and 3478 women from the English Longitudinal Study of Ageing with information on their own and their spouse’s diabetes status and cardiometabolic risk factors. We modelled incidence rates and incidence rate ratios with Poisson regression, using spousal diabetes status or cardiometabolic risk factors (i.e. BMI, waist circumference, systolic and diastolic BP, HDL- and LDL-cholesterol and triacylglycerols) as exposures and type 2 diabetes incidence in the index individual as the outcome. Models were adjusted for two nested sets of covariates.
Results
Spousal BMI and waist circumference were associated with incident type 2 diabetes, but with different patterns for men and women. A man’s risk of type 2 diabetes increased more steeply with his wife’s obesity level, and the association remained statistically significant even after adjustment for the man’s own obesity level. Having a wife with a 5 kg/m2 higher BMI (30 kg/m2 vs 25 kg/m2) was associated with a 21% (95% CI 11%, 33%) increased risk of type 2 diabetes. In contrast, the association between incident type 2 diabetes in a woman and her husband’s BMI was attenuated after adjusting for the woman’s own obesity level. Findings for waist circumference were similar to those for BMI. Regarding other risk factors, we found a statistically significant association only between the risk of type 2 diabetes in women and their husbands’ triacylglycerol levels.
Conclusions/interpretation
The main finding of this study is the sex-specific effect of spousal obesity on the risk of type 2 diabetes. Having an obese spouse increases an individual’s risk of type 2 diabetes over and above the effect of the individual’s own obesity level among men, but not among women. Our results suggest that a couples-focused approach may be beneficial for the early detection of type 2 diabetes and individuals at high risk of developing type 2 diabetes, especially in men, who are less likely than women to attend health checks.