Cross-sectional associations of sedentary behavior and sitting with serum lipid biomarkers in midlife
Tjurin, Petra; Niemelä, Maisa; Kangas, Maarit; Nauha, Laura; Vähä-Ypyä, Henri; Sievänen, Harri; Korpelainen, Raija; Farrahi, Vahid; Jämsä, Timo (2022-03-22)
TJURIN, PETRA1,2; NIEMELÄ, MAISA1,3; KANGAS, MAARIT4; NAUHA, LAURA1; VÄHÄ-YPYÄ, HENRI5; SIEVÄNEN, HARRI5; KORPELAINEN, RAIJA3,6,7; FARRAHI, VAHID1; JÄMSÄ, TIMO1,3,8. Cross-Sectional Associations of Sedentary Behavior and Sitting with Serum Lipid Biomarkers in Midlife. Medicine & Science in Sports & Exercise 54(8):p 1261-1270, August 2022. | DOI: 10.1249/MSS.0000000000002916
© 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://urn.fi/URN:NBN:fi-fe2023030229252
Tiivistelmä
Abstract
Introduction : Physical inactivity, excessive total time spent in sedentary behavior (SB) and prolonged sedentary bouts have been proposed to be risk factors for chronic disease morbidity and mortality worldwide. However, which patterns and postures of SB have the most negative impacts on health outcomes is still unclear. This population-based study aimed to investigate the independent associations of the patterns of accelerometer-based overall SB and sitting with serum lipid biomarkers at different moderate- to vigorous-intensity physical activity (MVPA) levels.
Methods: Physical activity and SB were measured in a birth cohort sample (N = 3272) at 46 yr using a triaxial hip-worn accelerometer in free-living conditions for 14 d. Raw acceleration data were classified into SB and PA using a machine learning–based model, and the bouts of overall SB and sitting were identified from the classified data. The participants also answered health-related questionnaires and participated in clinical examinations. Associations of overall SB (lying and sitting) and sitting patterns with serum lipid biomarkers were investigated using linear regression.
Results: The overall SB patterns were more consistently associated with serum lipid biomarkers than the sitting patterns after adjustments. Among the participants with the least and the most MVPA, high total time spent in SB and SB bouts of 15–29.99 and ≥30 min were associated with impaired lipid metabolism. Among those with moderate amount of MVPA, higher time spent in SB and SB bouts of 15–29.99 min was unfavorably associated with serum lipid biomarkers.
Conclusions: The associations between SB patterns and serum lipid biomarkers were dependent on MVPA level, which should be considered when planning evidence-based interventions to decrease SB in midlife.
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