Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study
Introduction We 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 methods This is a cross-sectional analysis of couples w...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2021-03-01
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| Series: | BMJ Open Diabetes Research & Care |
| Online Access: | https://drc.bmj.com/content/9/1/e001879.full |
| _version_ | 1826936722733137920 |
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| author | Nicole H T M Dukers-Muijrers Hans Bosma Miranda T Schram Rebecca K Simmons Nicolaas C Schaper Omar Silverman-Retana Stephanie Brinkhues Adam Hulman Martien C J M van Dongen Daniel R Witte |
| author_facet | Nicole H T M Dukers-Muijrers Hans Bosma Miranda T Schram Rebecca K Simmons Nicolaas C Schaper Omar Silverman-Retana Stephanie Brinkhues Adam Hulman Martien C J M van Dongen Daniel R Witte |
| author_sort | Nicole H T M Dukers-Muijrers |
| collection | DOAJ |
| description | Introduction We 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 methods This 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.Results The 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.Conclusions Spousal 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. |
| first_indexed | 2024-12-16T17:47:45Z |
| format | Article |
| id | doaj.art-76bd243f887a4a7b885db963ab138696 |
| institution | Directory Open Access Journal |
| issn | 2052-4897 |
| language | English |
| last_indexed | 2025-02-17T18:27:17Z |
| publishDate | 2021-03-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Diabetes Research & Care |
| spelling | doaj.art-76bd243f887a4a7b885db963ab1386962024-12-12T16:20:11ZengBMJ Publishing GroupBMJ Open Diabetes Research & Care2052-48972021-03-019110.1136/bmjdrc-2020-001879Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht StudyNicole H T M Dukers-Muijrers0Hans Bosma1Miranda T Schram2Rebecca K Simmons3Nicolaas C Schaper4Omar Silverman-Retana5Stephanie Brinkhues6Adam Hulman7Martien C J M van Dongen8Daniel R Witte92 Department of Social Medicine and Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands5 Department of Social Medicine, Care and Public Health Research Institute, Maastricht University, Maastricht, The NetherlandsHeart and Vascular Centre, Maastricht University Medical Centre+, Maastricht, The Netherlandsresearch fellowDepartment of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), Maastricht, The NetherlandsSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, DenmarkCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The NetherlandsSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, DenmarkCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The NetherlandsDepartment of Public Health, Aarhus University, Aarhus C, DenmarkIntroduction We 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 methods This 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.Results The 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.Conclusions Spousal 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.https://drc.bmj.com/content/9/1/e001879.full |
| spellingShingle | Nicole H T M Dukers-Muijrers Hans Bosma Miranda T Schram Rebecca K Simmons Nicolaas C Schaper Omar Silverman-Retana Stephanie Brinkhues Adam Hulman Martien C J M van Dongen Daniel R Witte Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study BMJ Open Diabetes Research & Care |
| title | Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study |
| title_full | Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study |
| title_fullStr | Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study |
| title_full_unstemmed | Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study |
| title_short | Spousal concordance in pathophysiological markers and risk factors for type 2 diabetes: a cross-sectional analysis of The Maastricht Study |
| title_sort | spousal concordance in pathophysiological markers and risk factors for type 2 diabetes a cross sectional analysis of the maastricht study |
| url | https://drc.bmj.com/content/9/1/e001879.full |
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