University of Oulu

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

Cross-sectional associations of sedentary behavior and sitting with serum lipid biomarkers in midlife

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Author: Tjurin, Petra1,2; Niemelä, Maisa1,3; Kangas, Maarit4;
Organizations: 1Research Unit of Medical Imaging, Physics and Technology (MIPT), University of Oulu, Oulu, FINLAND
2Department of Medical Rehabilitation, Oulu University Hospital, Oulu, FINLAND
3Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, FINLAND
4Northern Finland Birth Cohort Center, University of Oulu, Oulu, FINLAND
5UKK Institute for Health Promotion Research, Tampere, FINLAND
6Department of Sports and Exercise Medicine, Oulu Deaconess Institute, Oulu, FINLAND
7Center for Life Course Health Research, University of Oulu, Oulu, FINLAND
8Department of Diagnostic Radiology, Oulu University Hospital, Oulu, FINLAND
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Wolters Kluwer, 2022
Publish Date: 2023-03-02


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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Series: Medicine & science in sports & exercise
ISSN: 0195-9131
ISSN-E: 1530-0315
ISSN-L: 0195-9131
Volume: 54
Issue: 8
Pages: 1261 - 1270
DOI: 10.1249/mss.0000000000002916
Type of Publication: A1 Journal article – refereed
Field of Science: 315 Sport and fitness sciences
3142 Public health care science, environmental and occupational health
Funding: The authors thank all cohort members, researchers, and study nurses who participated in the 46-yr follow-up study. They also acknowledge the work of the NFBC project center. NFBC1966 received financial support from the University of Oulu (grant number 24000692), the Oulu University Hospital (grant number 24301140), and the European Regional Development Fund (ERDF) (grant number 539/2010 A31592). The study was supported by the Ministry of Education and Culture (grant numbers OKM/86/626/2014, OKM/43/626/2015, OKM/17/626/2016, OKM/54/626/2019, OKM/85/626/2019, and OKM/1096/626/2020) and the Northern Ostrobothnia Hospital District. This research is also connected to the DigiHealth-project, a strategic profiling project at the University of Oulu, which is supported by the Academy of Finland (project number 326291) and the University of Oulu. The funders played no role in designing the study, collecting, analyzing, and interpreting the data, or writing the manuscript.
Copyright information: © 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.