Literature DB >> 32623020

For better and worse? The roles of closeness, marital behavior, and age in spouses' cardiometabolic similarity.

Stephanie J Wilson1, Juan Peng2, Rebecca Andridge2, Lisa M Jaremka3, Christopher P Fagundes4, William B Malarkey5, Martha A Belury6, Janice K Kiecolt-Glaser7.   

Abstract

Spouses share common risks for cardiometabolic diseases: a person's diabetes or hypertension raises the partner's odds of developing the same condition. The mechanisms responsible for this disease concordance remain poorly understood. To examine three factors that may modulate partners' cardiometabolic similarity-closeness, hostile marital behavior, and age-and to explore whether health behavior concordance plays a role, on two separate occasions 43 healthy couples ages 24-61 provided fasting glucose, metabolic data (fat and carbohydrate oxidation), and resting blood pressure before discussing one of their most severe marital disagreements. Accounting for the fixed effects of sex, age, study visit, and abdominal fat on cardiometabolic levels, we found that aspects of health behavior concordance were associated with greater similarity in glucose, diastolic blood pressure (DBP), and carbohydrate and fat metabolism. Independent of health behavior concordance, partners who felt closer and behaved in a less hostile way had more similar rates of fat oxidation; less hostile partners also shared greater overlap in carbohydrate oxidation. Likewise, fasting glucose and DBP were more similar within older couples compared to younger pairs, beyond the effects of health behavior concordance. In sum, our data captured preclinical similarities in cardiometabolic health among disease-free couples, which may form the basis for their long-term overlapping disease risks. Closer, less hostile, and older couples shared more similar fasting glucose, metabolic data, and blood pressure; importantly, health behavior concordance did not explain all associations. These novel data suggest that multiple paths may lead to couples' shared disease risks.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age; Cardiometabolic function; Closeness; Couple concordance; Health

Mesh:

Year:  2020        PMID: 32623020      PMCID: PMC7849824          DOI: 10.1016/j.psyneuen.2020.104777

Source DB:  PubMed          Journal:  Psychoneuroendocrinology        ISSN: 0306-4530            Impact factor:   4.905


  45 in total

Review 1.  Health concordance within couples: a systematic review.

Authors:  Deanna Meyler; Jim P Stimpson; M Kristen Peek
Journal:  Soc Sci Med       Date:  2007-03-19       Impact factor: 4.634

2.  Sleep Concordance in Couples is Associated with Relationship Characteristics.

Authors:  Heather E Gunn; Daniel J Buysse; Brant P Hasler; Amy Begley; Wendy M Troxel
Journal:  Sleep       Date:  2015-06-01       Impact factor: 5.849

3.  Human Resting Energy Expenditure Varies with Circadian Phase.

Authors:  Kirsi-Marja Zitting; Nina Vujovic; Robin K Yuan; Cheryl M Isherwood; Jacob E Medina; Wei Wang; Orfeu M Buxton; Jonathan S Williams; Charles A Czeisler; Jeanne F Duffy
Journal:  Curr Biol       Date:  2018-11-08       Impact factor: 10.834

4.  Spouse concordance for systolic and diastolic blood pressure.

Authors:  L Suarez; M H Criqui; E Barrett-Connor
Journal:  Am J Epidemiol       Date:  1983-09       Impact factor: 4.897

5.  The impact of daily arthritis pain on spouse sleep.

Authors:  Lynn M Martire; Francis J Keefe; Richard Schulz; Mary Ann Parris Stephens; Jacqueline A Mogle
Journal:  Pain       Date:  2013-09       Impact factor: 6.961

6.  Married couples' risk of same disease: cross sectional study.

Authors:  Julia Hippisley-Cox; Carol Coupland; Mike Pringle; Nicola Crown; Vicky Hammersley
Journal:  BMJ       Date:  2002-09-21

7.  Close social ties and health in later life: Strengths and vulnerabilities.

Authors:  Karen S Rook; Susan T Charles
Journal:  Am Psychol       Date:  2017-09

8.  The effect of change in fasting glucose on the risk of myocardial infarction, stroke, and all-cause mortality: a nationwide cohort study.

Authors:  Gyeongsil Lee; Sung Min Kim; Seulggie Choi; Kyuwoong Kim; Su-Min Jeong; Joung Sik Son; Jae-Moon Yun; Sang Min Park
Journal:  Cardiovasc Diabetol       Date:  2018-04-07       Impact factor: 9.951

Review 9.  Spousal diabetes as a diabetes risk factor: a systematic review and meta-analysis.

Authors:  Aaron Leong; Elham Rahme; Kaberi Dasgupta
Journal:  BMC Med       Date:  2014-01-24       Impact factor: 8.775

10.  Lipid Oxidation Assessed by Indirect Calorimetry Predicts Metabolic Syndrome and Type 2 Diabetes.

Authors:  Arturo Pujia; Elisa Mazza; Yvelise Ferro; Carmine Gazzaruso; Adriana Coppola; Patrizia Doldo; Rosa Daniela Grembiale; Roberta Pujia; Stefano Romeo; Tiziana Montalcini
Journal:  Front Endocrinol (Lausanne)       Date:  2019-01-10       Impact factor: 5.555

View more
  4 in total

1.  The Implications of Being "In it Together": Relationship Satisfaction and Joint Health Behaviors Predict Better Health and Stronger Concordance Between Partners.

Authors:  Stephanie J Wilson; Joshua R Novak
Journal:  Ann Behav Med       Date:  2022-10-03

2.  Dyadic Loneliness and Changes to HbA1c Among Older US Couples: The Role of Marital Support as Stress Buffer.

Authors:  Jeffrey E Stokes; Adrita Barooah
Journal:  J Aging Health       Date:  2021-04-13

3.  Couples and COVID-19 vaccination: Frequency and reasons for discordance.

Authors:  Karen B Schmaling
Journal:  Vaccine       Date:  2022-02-18       Impact factor: 4.169

4.  Active Engagement, Protective Buffering, and Depressive Symptoms in Young-Midlife Couples Surviving Cancer: The Roles of Age and Sex.

Authors:  Karen S Lyons; Jessica R Gorman; Brandon S Larkin; Grace Duncan; Brandon Hayes-Lattin
Journal:  Front Psychol       Date:  2022-02-17
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.