Spousal similarities in cardiometabolic risk factors: A cross-sectional comparison between Dutch and Japanese data from two large biobank studies

Nakaya, Naoki; Xie, Tian; Scheerder, Bart; Tsuchiya, Naho; Narita, Akira; Nakamura, Tomohiro; Metoki, Hirohito; Obara, Taku; Ishikuro, Mami; Hozawa, Atsushi; Snieder, Harold; Kuriyama, Shinichi

doi:10.1016/j.atherosclerosis.2021.08.037

Cited by 17 publications

(31 citation statements)

References 38 publications

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“…All participants were required to answer the following question: "If you are living with family members who are participating in this TMM Project, please specify all their names and birthdays and your relationships with them (your spouse, father, mother, children, grandchildren, children's spouses, father-in-law, mother-in-law, and others) with their consent." Based on these responses, if a participant's spouse was identi ed as a TMM CommCohort Study participant, then the spouse and the participant were de ned as a spouse pair [20]. However, in this study, we created new random male-female using the original spouse pairs.…”

Section: Participantsmentioning

confidence: 99%

“…Regarding physical activity, metabolic equivalent (MET) hours/day were calculated by multiplying the MET score for a speci c activity by the number of hours spent on that activity per day. For each cohort, we used the 80th percentile of the men's MET hours/day as a cutoff for dividing physical activity levels into two categories: (1) su ciently active (≥ 80th percentile of men's MET hours/day) and ( 2) inactive (< 80th percentile of men's MET hours/day) [20].…”

Section: Lifestyle Factorsmentioning

confidence: 99%

“…For those using antihypertensive and/or lipid lowering medication, the SBP, DBP, TC, and LDL values were adjusted to reconstruct the original population ranking of these individuals based on the expected treatment effects. For those using antihypertensive medication, 15 mmHg and 10 mmHg were added to the SBP and DBP values, respectively [20,24]. For those receiving hyperlipidaemia treatment, the TC and LDL values were divided by 0.8 and 0.7, respectively [20,25,26].…”

Section: Statistical Analysesmentioning

confidence: 99%

“…In 2021, our international collaborative study assessed data obtained from public biobanks regarding populations in Japan and the Netherlands [20]. This cross-sectional study included 28,265 Dutch Lifelines Cohort Study spouse pairs (recruit from 2006-2013) and 5,391 Japanese Tohoku Medical Megabank Organization (ToMMo) Cohort Study pairs (recruited from 2013-2016).…”

Section: Introductionmentioning

confidence: 99%

“…Signi cant spousal similarities were noted in all the cardiometabolic risk factors (lifestyle habits, anthropometric traits, and diseases) investigated. For example, the odds ratios (ORs) [95% con dence interval (CI)] for spouse pairs were 4.60 (3.52-6.02) for current smoking, 2.83 (2.39-3.35) for current drinking, 2.76 (2.28-3.32) for su cient physical activity, 1.20 (1.05-1.38) for hypertension, and 1.72 (1.47-2.02) for metabolic syndrome [20].…”

Section: Introductionmentioning

confidence: 99%

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Similarities in cardiometabolic risk factors among random male-female pairs: A large observational study in Japan

Nakaya

Tsuchiya

et al. 2022

Preprint

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Background: Spousal similarities exist in several cardiometabolic risk factors and have been noted in previous studies that used public biobank information from two countries. This study aimed to challenge the influence of genetic factors and determine the influence of the environment on cardiometabolic risk factors by using random male-female pairs rather than spouse pairs.Methods: This cross-sectional study included 5391 spouse pairs from Japan; data were obtained from a large biobank study. For pairings, women of the same age were randomly shuffled to create new male-female pairs of the same age as the original spouse pairs. Similarities in cardiometabolic risk factors between the random male-female pairs were analysed using the Pearson's correlation or age-adjusted logistic regression analyses.Results: The mean ages of the men and women were 63.2 and 60.4 years, respectively. No significant similarities were noted in cardiometabolic risk factors, including the continuous risk factors (anthropometric traits, blood pressure, glycated haemoglobin level, and lipid traits); lifestyle habits (smoking, drinking, and physical activity); or diseases (hypertension, type 2 diabetes mellitus, and metabolic syndrome) between the random male-female pairs. The age-adjusted correlation coefficients ranged from -0.002 for triglycerides to 0.071 for total cholesterol. The age-adjusted odds ratio (95% confidence interval) for current drinkers was 0.94 (0.81−1.09); ever smokers, 0.99 (0.83−1.18); hypertension, 1.07 (0.93−1.23); and type 2 diabetes mellitus, 1.08 (0.77−1.50). Conclusion: In this study, no similarities in cardiometabolic risk factors were noted among the random male-female pairs. As spouse pairs may share environmental factors, intervention strategies targeting lifestyle habits and prevent lifestyle-related diseases may be effective.

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Section: Participantsmentioning

confidence: 99%

Section: Lifestyle Factorsmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Similarities in cardiometabolic risk factors among random male-female pairs: A large observational study in Japan

Nakaya

Tsuchiya

et al. 2022

Preprint

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Spousal bereavement and its effects on later life physical and cognitive capability: the Tromsø study

Strand,

Håberg,

Eyjólfsdóttir

et al. 2024

GeroScience

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Spousal bereavement is associated with health declines and increased mortality risk, but its specific impact on physical and cognitive capabilities is less studied. A historical cohort study design was applied including married Tromsø study participants (N=5739) aged 50–70 years with baseline self-reported overall health and health-related factors and measured capability (grip strength, finger tapping, digit symbol coding, and short-term recall) at follow-up. Participants had data from Tromsø4 (1994–1995) and Tromsø5 (2001), or Tromsø6 (2007–2008) and Tromsø7 (2015–2016). Propensity score matching, adjusted for baseline confounders (and baseline capability in a subset), was used to investigate whether spousal bereavement was associated with poorer subsequent capability. Spousal bereavement occurred for 6.2% on average 3.7 years (SD 2.0) before the capability assessment. There were no significant bereavement effects on subsequent grip strength, immediate recall, or finger-tapping speed. Without adjustment for baseline digit symbol coding test performance, there was a negative significant effect on the digit symbol coding test (ATT −1.33; 95% confidence interval −2.57, −0.10), but when baseline digit symbol coding test performance was taken into account in a smaller subsample, using the same set of matching confounders, there was no longer any association (in the subsample ATT changed from −1.29 (95% CI −3.38, 0.80) to −0.04 (95% CI −1.83, 1.75). The results in our study suggest that spousal bereavement does not have long-term effects on the intrinsic capacity components physical or cognition capability to a notable degree.

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Associations between birth weight and lung function in a Japanese adult population: The tohoku medical megabank community-based cohort study

Ohe

Yamada

Hozawa

et al. 2023

Respiratory Investigation

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Spousal similarities in cardiometabolic risk factors: A cross-sectional comparison between Dutch and Japanese data from two large biobank studies

Cited by 17 publications

References 38 publications

Similarities in cardiometabolic risk factors among random male-female pairs: A large observational study in Japan

Similarities in cardiometabolic risk factors among random male-female pairs: A large observational study in Japan

Spousal bereavement and its effects on later life physical and cognitive capability: the Tromsø study

Associations between birth weight and lung function in a Japanese adult population: The tohoku medical megabank community-based cohort study

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