Associations Between Type and Timing of Physical Activity and Sedentary Behavior With Mental Health in Adolescents and Young Adults

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Bruno G.G. da Costa School of Physical and Health Education, Nipissing University, North Bay, ON, Canada

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Antonius J. Van Rooij Department of Youth, Trimbos Institute, Utrecht, the Netherlands

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Anouk Tuijnman Department of Youth, Trimbos Institute, Utrecht, the Netherlands

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Travis J. Saunders Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, PE, Canada

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Jean-Philippe Chaput Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada

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Background: This cross-sectional study analyzed the association of leisure-time physical activity (PA) and sedentary behavior (SB), nonleisure PA and SB, and total PA and SB in different time segments of the day with mental health among Dutch adolescents and young adults. Methods: A total of 881 participants aged 16–25 years completed an online survey. Mental health was assessed using the Mental Health Inventory-5, and participants also reported sex, age, and income. They filled out a questionnaire of types of PA and SB for each hour of the day. Activities were categorized into nonleisure and leisure, during the morning, afternoon, evening, and for the whole day. Results: Participants (52.8% female, on average 20.8 y) generally engaged in more leisure-time PA and SB during weekends compared with weekdays, and more nonleisure activities on weekdays. Associations varied between time segments and days of the week. Positive associations of leisure-time and total PA during the whole day and evenings with mental health were observed on weekdays. Total, leisure-time, and nonleisure-time SB were associated with worse mental health. Nonleisure PA was not associated with mental health. Conclusions: Leisure-time PA was found to have a favorable association with mental health, particularly in the evenings of weekdays and afternoons of weekend days. On the other hand, leisure SB was associated with poorer mental health in most of the time segments analyzed, and nonleisure SB in the evenings was also related to worse mental health. The type and timing of PA and SB behaviors play an important role in the relationship with mental health.

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  • 1.

    Li JY, Li J, Liang JH, et al. Depressive symptoms among children and adolescents in China: a systematic review and meta-analysis. Med Sci Monit. 2019;25:74597470. doi:10.12659/MSM.916774

    • Search Google Scholar
    • Export Citation
  • 2.

    Wiens K, Bhattarai A, Pedram P, et al. A growing need for youth mental health services in Canada: examining trends in youth mental health from 2011 to 2018. Epidemiol Psychiatr Sci. 2020;29:115. doi:10.1017/S2045796020000281

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. The Lancet. 2012;379(9820):10561067. doi:10.1016/S0140-6736(11)60871-4

    • Search Google Scholar
    • Export Citation
  • 4.

    Odgers CL, Jensen MR. Annual research review: adolescent mental health in the digital age: facts, fears, and future directions. J Child Psychol Psychiatry. 2020;61(3):336348. doi:10.1111/jcpp.13190

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    James SL, Abate D, Abate KH, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018;392(10159):17891858. doi:10.1016/S0140-6736(18)32279-7

    • Search Google Scholar
    • Export Citation
  • 6.

    Pine DS, Cohen E, Cohen P, Brook J. Adolescent depressive symptoms as predictors of adult depression: moodiness or mood disorder? Am J Psychiatry. 1999;156(1):133135. doi:10.1176/ajp.156.1.133

    • Search Google Scholar
    • Export Citation
  • 7.

    Aalto-Setälä T, Marttunen M, Tuulio-Henriksson A, Poikolainen K, Lönnqvist J. Depressive symptoms in adolescence as predictors of early adulthood depressive disorders and maladjustment. Am J Psychiatry. 2002;159(7):12351237. doi:10.1176/appi.ajp.159.7.1235

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985;100(2):126131. PubMed ID: 3920711

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Tremblay MS, Aubert S, Barnes JD, et al. Sedentary Behavior Research Network (SBRN)—terminology consensus project process and outcome. Int J Behav Nutr Phys Act. 2017;14:75. doi:10.1186/s12966-017-0525-8

    • Search Google Scholar
    • Export Citation
  • 10.

    Ahn S, Fedewa AL. A meta-analysis of the relationship between children’s physical activity and mental health. J Pediatr Psychol. 2011;36(4):385397. doi:10.1093/jpepsy/jsq107

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    da Costa BGG, Chaput JP, Lopes MVV, Malheiros LEA, Silva KS. Movement behaviors and their association with depressive symptoms in Brazilian adolescents: a cross-sectional study. J Sport Health Sci. 2022;11(2):252259. doi:10.1016/j.jshs.2020.08.003

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Bélair MA, Kohen DE, Kingsbury M, Colman I. Relationship between leisure time physical activity, sedentary behaviour and symptoms of depression and anxiety: evidence from a population-based sample of Canadian adolescents. BMJ Open. 2018;8(10):21119. doi:10.1136/bmjopen-2017-021119

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Zhai L, Zhang Y, Zhang D. Sedentary behaviour and the risk of depression: a meta-analysis. Br J Sports Med. 2015;49(11):705709. doi:10.1136/bjsports-2014-093613

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Kandola A, Owen N, Dunstan DW, Hallgren M. Prospective relationships of adolescents’ screen-based sedentary behaviour with depressive symptoms: The Millennium Cohort Study. Psychol Med. 2021;52(15):35313539. doi:10.1017/S0033291721000258

    • Search Google Scholar
    • Export Citation
  • 15.

    Przybylski AK, Weinstein N. A large-scale test of the goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci. 2017;28(2):204215. doi:10.1177/0956797616678438

    • Search Google Scholar
    • Export Citation
  • 16.

    Da Costa BGG, Chaput JP, Silva, KS. The two sides of sedentary behavior. J Phys Educ. 2022;33(1):3312. doi:10.4025/jphyseduc.v33i1.3312

  • 17.

    Kuzik N, da Costa BGG, Hwang Y, et al. School-related sedentary behaviours and indicators of health and well-being among children and youth: a systematic review. Int J Behav Nutr Phys Act. 2022;19(1):40. doi:10.1186/s12966-022-01258-4

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Coenen P, Huysmans MA, Holtermann A, et al. Towards a better understanding of the ‘physical activity paradox’: the need for a research agenda. Br J Sports Med. 2020;54(17):10551057. doi:10.1136/bjsports-2019-101343

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    da Costa BGG, Barreto PS, da Silveira PM, da Silva JA, Silva KS. The association between practicing sport and non-sport physical activities and health-related quality of life of Brazilian adolescents: a cross-sectional study. Sci Sports. 2020;35(4):3. doi:10.1016/j.scispo.2020.02.003

    • Search Google Scholar
    • Export Citation
  • 20.

    Hidding LM, Altenburg TM, Mokkink LB, Terwee CB, Chinapaw MJM. Systematic review of childhood sedentary behavior questionnaires: what do we know and what is next? Sports Med. 2017;47(4):677699. doi:10.1007/s40279-016-0610-1

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Hidding LM, Chinapaw MJM, van Poppel MNM, Mokkink LB, Altenburg TM. An updated systematic review of childhood physical activity questionnaires. Sports Med. 2018;48(12):27972842. doi:10.1007/s40279-018-0987-0

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Prince SA, LeBlanc AG, Colley RC, Saunders TJ. Measurement of sedentary behaviour in population health surveys: a review and recommendations. PeerJ. 2017;5:4130. doi:10.7717/peerj.4130

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Minaeva O, Booij SH, Lamers F, et al. Level and timing of physical activity during normal daily life in depressed and non-depressed individuals. Transl Psychiatry. 2020;10(1):259. doi:10.1038/s41398-020-00952-w

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Janssen I, Campbell JE, Zahran S, Saunders TJ, Tomasone JR, Chaput JP. Timing of physical activity within the 24-hour day and its influence on health: a systematic review. Health Promot Chronic Dis Prev Can. 2022;42(4):129138. doi:10.24095/hpcdp.42.4.02

    • Search Google Scholar
    • Export Citation
  • 25.

    Takahashi T, Haitani T, Tanaka F, et al. Effects of the time-of-day (morning vs. afternoon) of implementing a combined physical and cognitive exercise program on cognitive functions and mood of older adults: a randomized controlled study. Adv Gernotol. 2020;33(3):595599. doi:10.34922/AE.2020.33.3.024

    • Search Google Scholar
    • Export Citation
  • 26.

    Irandoust K, Taheri M, Chtourou H, Nikolaidis PT, Rosemann T, Knechtle B. Effect of time-of-day-exercise in group settings on level of mood and depression of former elite male athletes. Int J Environ Res Public Health. 2019;16(19):3541. doi:10.3390/ijerph16193541

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Varma VR, Watts A. Daily physical activity patterns during the early stage of Alzheimer’s disease. J Alzheimer’s Dis. 2017;55(2):659667. doi:10.3233/JAD-160582

    • Search Google Scholar
    • Export Citation
  • 28.

    Rooij AJV, Tuijnman A, Kleinjan M, da Costa BGG. 2020 Digital Balance Young adults (survey). Published online September 26, 2022. https://osf.io/q5j2v/. Accessed February 7, 2023.

    • Search Google Scholar
    • Export Citation
  • 29.

    Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473483. PubMed ID: 1593914

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Ware JE. SF-36 health survey: manual and interpretation guide. Health Ins. Published online January 1, 1993.

  • 31.

    Rivera-Riquelme M, Piqueras JA, Cuijpers P. The Revised Mental Health Inventory-5 (MHI-5) as an ultra-brief screening measure of bidimensional mental health in children and adolescents. Psychiatry Res. 2019;274:247253. doi:10.1016/j.psychres.2019.02.045

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Cuijpers P, Smits N, Donker T, ten Have M, de Graaf R. Screening for mood and anxiety disorders with the five-item, the three-item, and the two-item mental health inventory. Psychiatry Res. 2009;168(3):250255. doi:10.1016/j.psychres.2008.05.012

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW. Correlates of physical activity: why are some people physically active and others not? The Lancet. 2012;380(9838):258271. doi:10.1016/s0140-6736(12)60735-1

    • Search Google Scholar
    • Export Citation
  • 34.

    Macintyre A, Ferris D, Gonçalves B, Quinn N. What has economics got to do with it? The impact of socioeconomic factors on mental health and the case for collective action. Palgrave Commun. 2018;4(1):2. doi:10.1057/s41599-018-0063-2

    • Search Google Scholar
    • Export Citation
  • 35.

    Meade AW, Craig SB. Identifying careless responses in survey data. Psychol Methods. 2012;17(3):437455. doi:10.1037/a0028085

  • 36.

    Biddle SJH, Ciaccioni S, Thomas G, Vergeer I. Physical activity and mental health in children and adolescents: an updated review of reviews and an analysis of causality. Psychol Sport Exerc. 2019;42:146155. doi:10.1016/j.psychsport.2018.08.011

    • Search Google Scholar
    • Export Citation
  • 37.

    Schuch FB, Vancampfort D, Firth J, et al. Physical activity and incident depression: a meta-analysis of prospective cohort studies. AJP. 2018;175(7):631648. doi:10.1176/appi.ajp.2018.17111194

    • Search Google Scholar
    • Export Citation
  • 38.

    White RL, Babic MJ, Parker PD, Lubans DR, Astell-Burt T, Lonsdale C. Domain-specific physical activity and mental health: a meta-analysis. Am J Prev Med. 2017;52(5):653666. doi:10.1016/j.amepre.2016.12.008

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39.

    Ryan RM, Deci EL. Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. 1st ed. The Guilford Press; 2017.

    • Search Google Scholar
    • Export Citation
  • 40.

    Mikkelsen K, Stojanovska L, Polenakovic M, Bosevski M, Apostolopoulos V. Exercise and mental health. Maturitas. 2017;106:4856. doi:10.1016/j.maturitas.2017.09.003

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41.

    Pluhar E, McCracken C, Griffith KL, Christino MA, Sugimoto D, Meehan WP. Team sport athletes may be less likely to suffer anxiety or depression than individual sport athletes. J Sports Sci Med. 2019;18(3):490496. PubMed ID: 31427871

    • Search Google Scholar
    • Export Citation
  • 42.

    Kelly P, Williamson C, Niven AG, Hunter R, Mutrie N, Richards J. Walking on sunshine: scoping review of the evidence for walking and mental health. Br J Sports Med. 2018;52(12):800806. doi:10.1136/bjsports-2017-098827

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Huynh Q, Craig W, Janssen I, Pickett W. Exposure to public natural space as a protective factor for emotional well-being among young people in Canada. BMC Public Health. 2013;13(1):407. doi:10.1186/1471-2458-13-407

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Teychenne M, Abbott G, Lamb KE, Rosenbaum S, Ball K. Is the link between movement and mental health a two-way street? Prospective associations between physical activity, sedentary behaviour and depressive symptoms among women living in socioeconomically disadvantaged neighbourhoods. Prev Med. 2017;102:7278. doi:10.1016/j.ypmed.2017.07.005

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45.

    Murphy MH, Donnelly P, Breslin G, Shibli S, Nevill AM. Does doing housework keep you healthy? The contribution of domestic physical activity to meeting current recommendations for health. BMC Public Health. 2013;13(1):966. doi:10.1186/1471-2458-13-966

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    Holtermann A, Krause N, van der Beek AJ, Straker L. The physical activity paradox: six reasons why occupational physical activity (OPA) does not confer the cardiovascular health benefits that leisure time physical activity does. Br J Sports Med. 2018;52(3):149150. doi:10.1136/bjsports-2017-097965

    • Search Google Scholar
    • Export Citation
  • 47.

    Salvo D, Reis RS, Sarmiento OL, Pratt M. Overcoming the challenges of conducting physical activity and built environment research in Latin America: IPEN Latin America. Prev Med. 2014;69:S86S92. doi:10.1016/j.ypmed.2014.10.014

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48.

    Boers E, Afzali MH, Newton N, Conrod P. Association of screen time and depression in adolescence. JAMA Pediatr. 2019;173(9):853859. doi:10.1001/jamapediatrics.2019.1759

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49.

    Wood JV. Theory and research concerning social comparisons of personal attributes. Psychol Bulletin. 1989;106(2):231248. doi:10.1037/0033-2909.106.2.231

    • Search Google Scholar
    • Export Citation
  • 50.

    Cattarin JA, Thompson JK, Thomas C, Williams R. Body image, mood, and televised images of attractiveness: the role of social comparison. J Soc Clin Psychol. 2000;19(2):220239. doi:10.1521/jscp.2000.19.2.220

    • Search Google Scholar
    • Export Citation
  • 51.

    Vogel EA, Rose JP, Roberts LR, Eckles K. Social comparison, social media, and self-esteem. Psychol Pop Media Cult. 2014;3(4):206222. doi:10.1037/ppm0000047

    • Search Google Scholar
    • Export Citation
  • 52.

    Slater MD. Reinforcing spirals: the mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Commun Theory. 2007;17(3):281303. doi:10.1111/j.1468-2885.2007.00296.x

    • Search Google Scholar
    • Export Citation
  • 53.

    Raudsepp L, Vink K. Longitudinal associations between sedentary behavior and depressive symptoms in adolescent girls followed 6 years. J Phys Act Health. 2020;16(3):191196. doi:10.1123/jpah.2018-0123

    • Search Google Scholar
    • Export Citation
  • 54.

    Zink J, Yang CH, McAlister KL, et al. Patterns of objectively measured sedentary time and emotional disorder symptoms among youth. J Pediatr Psychol. 2022;47(7):757768. doi:10.1093/jpepsy/jsac014

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55.

    Wang L, Li J, Chen Y, et al. Gaming motivation and negative psychosocial outcomes in male adolescents: an individual-centered 1-year longitudinal study. Front Psychol. 2021;12:5244. doi:10.3389/fpsyg.2021.743273

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56.

    Carson V, Hunter S, Kuzik N, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab. 2016;41(suppl 3):S240265. doi:10.1139/apnm-2015-0630

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57.

    Hallgren M, Dunstan DW, Owen N. Passive versus mentally active sedentary behaviors and depression. Exerc Sport Sci Rev. 2020;48(1):2027. doi:10.1249/JES.0000000000000211

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58.

    Nagai N, Ayaki M, Yanagawa T, et al. Suppression of blue light at night ameliorates metabolic abnormalities by controlling circadian rhythms. Invest Ophthalmol Vis Sci. 2019;60(12):37863793. doi:10.1167/iovs.19-27195

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59.

    Biddle SJH, Mutrie N, Gorely T. Psychology of Physical Activity: Determinants, Well-Being and Interventions. 3rd ed. Routledge/Taylor & Francis Group; 2015:419.

    • Search Google Scholar
    • Export Citation
  • 60.

    Chen B, Vansteenkiste M, Beyers W, et al. Basic psychological need satisfaction, need frustration, and need strength across four cultures. Motiv Emot. 2015;39(2):216236. doi:10.1007/s11031-014-9450-1

    • Search Google Scholar
    • Export Citation
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