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Depressive Symptoms Are Associated With Accelerometer-Measured Physical Activity and Time in Bed Among Working-Aged Men and Women

  • Pauliina Husu*
  • , Kari Tokola
  • , Henri Vähä-Ypyä
  • , Harri Sievänen
  • , Tommi Vasankari
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Background: Depression is a significant health problem, whereas higher physical activity (PA) associates with fewer depressive symptoms. We examined how self-reported depressive symptoms are associated with accelerometer-measured PA, standing, sedentary behavior, and time in bed (TIB) among 20-to 69-year-old men and women. Methods: The study is a part of the cross-sectional, population-based FinFit2017 study, in which depressive symptoms were assessed by modified nine-item Finnish version of the Patient Health Questionnaire, and physical behavior in terms of PA, sedentary behavior, standing, and TIB was assessed 24/7 by a triaxial accelerometer. During waking hours, the accelerometer was hip worn. Intensity of PA was analyzed by mean amplitude deviation and body posture by angle for posture estimation algorithms. During TIB, the device was wrist worn, and the analysis was based on the wrist movements. A total of 1,823 participants answered the nine-item Finnish version of the Patient Health Questionnaire and used the accelerometer 24 hr at least 4 days per week. Results: Men without depressive symptoms had on average more standing, light, and moderate to vigorous PA and steps, and less low and high movement TIB than the men with at least moderate symptoms, when age group, education, work status, marital status, and fitness were adjusted for. The asymptomatic women had more moderate to vigorous PA and steps and less high movement TIB than the women with at least moderate symptoms. Conclusions: Depressive symptoms were associated with lower levels of PA and longer TIB. It is important to identify these symptoms as early as possible to be able to initiate and target preventive actions, including PA promotion, to these symptomatic persons on time.

    Original languageEnglish
    Pages (from-to)168-177
    Number of pages10
    JournalJournal for the Measurement of Physical Behaviour
    Volume5
    Issue number3
    DOIs
    Publication statusPublished - 2022
    Publication typeA1 Journal article-refereed

    Funding

    Laboratory staff of the participating research centers (the LIKES Research Centre for Physical Activity and Health, Jyväskylä; the Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu; the Kuopio Research Institute of Exercise Medicine, Kuopio; the Paavo Nurmi Centre Turku; Santasport, Rovaniemi; city of Helsinki; and Turku University of Applied Sciences) are acknowledged for their help in the data collection. The study was financially supported by the Finnish Ministry of Education and Culture. The study was carried out in accordance with the Declaration of Helsinki. The Regional Ethics Committee of the Expert Responsibility Area of Tampere University Hospital approved the study (R17030). The data sets of the current study are not publicly available due to ethical reasons. The nonidentifiable data are available for research purposes from the director of the study (TV) upon reasonable request.

    FundersFunder number
    Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation
    Kuopio Research Institute of Exercise Medicine
    LIKES Research Centre for Physical Activity and Health
    Paavo Nurmi Centre Turku
    Turku University of Applied Sciences
    Opetus- ja kulttuuriministeriöR17030

      UN SDGs

      This output contributes to the following UN Sustainable Development Goals (SDGs)

      1. SDG 3 - Good Health and Well-being
        SDG 3 Good Health and Well-being

      Keywords

      • 24/7 assessment
      • accelerometer-based
      • mental wellbeing

      Publication forum classification

      • Publication forum level 1

      ASJC Scopus subject areas

      • General Psychology
      • General Computer Science
      • General Engineering
      • Statistics, Probability and Uncertainty
      • Public Health, Environmental and Occupational Health

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