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Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers : A Natural Experiment over Retirement

Suorsa, Kristin; Leskinen, Tuija; Gupta, Nidhi; Andersen, Lars l.; Pasanen, Jesse; Hettiarachchi, Pasan; Johansson, Peter j.; Pentti, Jaana; Vahtera, Jussi; Stenholm, Sari

Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers : A Natural Experiment over Retirement

Suorsa, Kristin
Leskinen, Tuija
Gupta, Nidhi
Andersen, Lars l.
Pasanen, Jesse
Hettiarachchi, Pasan
Johansson, Peter j.
Pentti, Jaana
Vahtera, Jussi
Stenholm, Sari
Katso/Avaa
longitudinal_associations_between_24_h_movement.10.pdf (850.4Kb)
Lataukset: 

Lippincott
doi:10.1249/MSS.0000000000003415
URI
https://journals.lww.com/acsm-msse/fulltext/2024/07000/longitudinal_associations_between_24_h_movement.10.aspx
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082787126
Tiivistelmä

Introduction: Physical activity, sedentary behavior, and sleep, that is, 24-h movement behaviors, often change in the transition from work to retirement, which may affect cardiometabolic health. This study investigates the longitudinal associations between changes in 24-h movement behaviors and cardiometabolic biomarkers during the retirement transition.

Methods: Retiring public sector workers ( n = 212; mean (SD) age, 63.5 (1.1) yr) from the Finnish Retirement and Aging study used a thigh-worn Axivity accelerometer and filled out a diary to obtain data on daily time spent in sedentary behavior (SED), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), and sleep before and after retirement (1 yr in-between). Cardiometabolic biomarkers, including LDL-cholesterol, HDL-cholesterol, total/HDL-cholesterol ratio, triglycerides, C-reactive protein, fasting glucose, and insulin, were measured. Associations between changes in 24-h movement behaviors and cardiometabolic biomarkers were analyzed using compositional robust regression and isotemporal substitution analysis.

Results: Increasing LPA in relation to remaining behaviors was associated with an increase in HDL-cholesterol and decrease in total/HDL-cholesterol ratio ( P < 0.05 for both). For instance, reallocation of 30 min from sleep/SED to LPA was associated with an increase in HDL-cholesterol by 0.02 mmol·L -1 . Moreover, increasing MVPA in relation to remaining behaviors was associated with a decrease in triglycerides ( P = 0.02). Reallocation of 30 min from SED/sleep to MVPA was associated with 0.07-0.08 mmol·L -1 decrease in triglycerides. Findings related to LDL-cholesterol, C-reactive protein, fasting glucose, and insulin were less conclusive.

Conclusions: During the transition from work to retirement, increasing physical activity at the expense of passive behaviors was associated with a better lipid profile. Our findings suggest that life transitions like retirement could be utilized more as an optimal time window for promoting physical activity and health.

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