Evidence map›Paper›PMID 33597186›Full record

ArticleBMJ open diabetes research & care2021

Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study.

Omar Silverman-Retana, Stephanie Brinkhues, Adam Hulman, Coen D A Stehouwer, Nicole H T M Dukers-Muijrers, Rebecca K Simmons, Hans Bosma, Simone Eussen, Annemarie Koster, Pieter Dagnelie and 5 more

Abstract read
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Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Omar Silverman-RetanaDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-2744-9698
Stephanie BrinkhuesCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Adam HulmanSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Coen D A StehouwerDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Nicole H T M Dukers-MuijrersDepartment of Sexual Health, Infectious Diseases and Environmental Health, Public Health Service South Limburg, Heerlen, The Netherlands.
Rebecca K SimmonsDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Hans BosmaCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Simone EussenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Annemarie KosterCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Pieter DagnelieDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Hans H C M SavelbergDepartment of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Nicolaas C SchaperCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Martien C J M van DongenCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Daniel R WitteDepartment of Public Health, Aarhus University, Aarhus, Denmark daniel.witte@ph.au.dk.ORCID 0000-0002-0769-2922
Miranda T SchramDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.ORCID 0000-0001-8113-7604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe compared the degree of spousal concordance in a set of detailed pathophysiological markers and risk factors for type 2 diabetes to understand where in the causal cascade spousal similarities are most relevant. RESEARCH DESIGN AND

methodsThis is a cross-sectional analysis of couples who participated in The Maastricht Study (n=172). We used quantile regression models to assess spousal concordance in risk factors for type 2 diabetes, including four adiposity measures, two dimensions of physical activity, sedentary time and two diet indicators. We additionally assessed beta cell function and insulin sensitivity and glucose metabolism status with fasting and 2-hour plasma glucose and hemoglobin A1c.

resultsThe strongest spousal concordance (beta estimates) was observed for the Dutch Healthy Diet Index (DHDI) in men. A one-unit increase in wives' DHDI was associated with a 0.53 (95% CI 0.22 to 0.67) unit difference in men's DHDI. In women, the strongest concordance was for the time spent in high-intensity physical activity (HPA); thus, a one-unit increase in husbands' time spent in HPA was associated with a 0.36 (95% CI 0.17 to 0.64) unit difference in women's time spent in HPA. The weakest spousal concordance was observed in beta cell function indices.

conclusionsSpousal concordance was strongest in behavioral risk factors. Concordance weakened when moving downstream in the causal cascade leading to type 2 diabetes. Public health prevention strategies to mitigate diabetes risk may benefit from targeting spousal similarities in health-related behaviors and diabetes risk factors to design innovative and potentially more effective couple-based interventions.

Indexed as

Diabetes Mellitus, Type 2Cross-Sectional StudiesFemaleHumansMaleObesityRisk FactorsSpousesdiabetes mellitusepidemiologyinsulin resistancerisk factorstype 2

Identifiers

PMID33597186
PMCPMC7893653

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.