IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i10p3499-d359294.html
   My bibliography  Save this article

Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study

Author

Listed:
  • Moisés Grimaldi-Puyana

    (Department of Physical Education and Sports, Faculty of Educational Sciences, Universidad de Sevilla, 41013 Seville, Spain)

  • José María Fernández-Batanero

    (Department of Didactics and School Organization, University of Sevilla, 41013 Sevilla, Spain)

  • Curtis Fennell

    (Department of Exercise and Nutrition Science, University of Montevallo, Montevallo, AL 35115, USA)

  • Borja Sañudo

    (Department of Physical Education and Sports, Faculty of Educational Sciences, Universidad de Sevilla, 41013 Seville, Spain)

Abstract

This study assesses the associations of objectively-measured smartphone time with physical activity, sedentary behavior, mood, and sleep patterns among young adults by collecting real-time data of the smartphone screen-state. The sample consisted of 306 college-aged students (mean age ± SD: 20.7 ± 1.4 years; 60% males). Over seven days of time, the following variables were measured in the participants: objectively-measured smartphone use (Your Hour and Screen Time applications), objective and subjective physical activity (GoogleFit and Apple Health applications, and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), mood (The Profile of Mood State (POMS)), and sleep (The Pittsburgh Sleep Quality Index (PSQI)). Multiple regressions analyses showed that the number of hours sitting per day, physical activity, and the POMS Global Score significantly predicted smartphone use (adj.R2 = 0.15). Further, participants with low levels of physical activity were more likely to increase the use of smartphones (OR = 2.981). Moreover, mood state ( β = 0.185; 95% CI = 0.05, 0.32) and sleep quality ( β = 0.076; 95% CI = −0.06, 0.21) predicted smartphone use, with those reporting poor quality of sleep (PSQI index >5) being more likely to use the smartphone (OR = 2.679). In conclusion, there is an association between objectively-measured smartphone use and physical activity, sedentary behavior, mood, and sleep patterns. Those participants with low levels of physical activity, high levels of sedentary behavior, poor mood state, and poor sleep quality were more likely to spend more time using their smartphones.

Suggested Citation

  • Moisés Grimaldi-Puyana & José María Fernández-Batanero & Curtis Fennell & Borja Sañudo, 2020. "Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3499-:d:359294
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/10/3499/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/10/3499/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tarun Reddy Katapally & Luan Manh Chu, 2019. "Methodology to Derive Objective Screen-State from Smartphones: A SMART Platform Study," IJERPH, MDPI, vol. 16(13), pages 1-13, June.
    2. Ariane Ghekiere & Jelle Van Cauwenberg & Ann Vandendriessche & Joanna Inchley & Margarida Gaspar de Matos & Alberto Borraccino & Inese Gobina & Jorma Tynjälä & Benedicte Deforche & Bart De Clercq, 2019. "Trends in sleeping difficulties among European adolescents: Are these associated with physical inactivity and excessive screen time?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 487-498, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Da-Hye Yim & Youngsang Kwon, 2021. "Does Young Adults’ Neighborhood Environment Affect Their Depressive Mood? Insights from the 2019 Korean Community Health Survey," IJERPH, MDPI, vol. 18(3), pages 1-15, January.
    2. Haitao Zhao & Chuntian Lu & Cuixia Yi, 2023. "Physical Activity and Sleep Quality Association in Different Populations: A Meta-Analysis," IJERPH, MDPI, vol. 20(3), pages 1-11, January.
    3. Wenxi Liu & Qin Yuan & Nan Zeng & Daniel J. McDonough & Kun Tao & Qingwen Peng & Zan Gao, 2021. "Relationships between College Students’ Sedentary Behavior, Sleep Quality, and Body Mass Index," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    4. Hongxing Chen & Guodong Zhang & Zhenhuan Wang & Siyuan Feng & Hansen Li, 2022. "The Associations between Daytime Physical Activity, While-in-Bed Smartphone Use, Sleep Delay, and Sleep Quality: A 24-h Investigation among Chinese College Students," IJERPH, MDPI, vol. 19(15), pages 1-10, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takafumi Nishioka & Hideki Hasunuma & Masumi Okuda & Naoko Taniguchi & Tetsuro Fujino & Hideki Shimomura & Yasuhiko Tanaka & Masayuki Shima & Yasuhiro Takeshima & Japan Environment and Children’s Stud, 2022. "Effects of Screen Viewing Time on Sleep Duration and Bedtime in Children Aged 1 and 3 Years: Japan Environment and Children’s Study," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
    2. Daniel Sanz-Martín & Félix Zurita-Ortega & Germán Ruiz-Tendero & José Luis Ubago-Jiménez, 2023. "Moderate–Vigorous Physical Activity, Screen Time and Sleep Time Profiles: A Cluster Analysis in Spanish Adolescents," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    3. Solvita Klavina-Makrecka & Inese Gobina & Toms Pulmanis & Iveta Pudule & Anita Villerusa, 2020. "Insufficient sleep duration in association with self-reported pain and corresponding medicine use among adolescents: a cross-sectional population-based study in Latvia," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(8), pages 1365-1371, November.
    4. Rosa S. Wong & Keith T. S. Tung & Nirmala Rao & Frederick K. W. Ho & Ko Ling Chan & King-Wa Fu & Winnie W. Y. Tso & Fan Jiang & Jason C. S. Yam & David Coghill & Ian C. K. Wong & Patrick Ip, 2021. "A Longitudinal Study of the Relation between Childhood Activities and Psychosocial Adjustment in Early Adolescence," IJERPH, MDPI, vol. 18(10), pages 1-11, May.
    5. Curtis Fennell & Thomas Eremus & Moisés Grimaldi Puyana & Borja Sañudo, 2022. "The Importance of Physical Activity to Augment Mood during COVID-19 Lockdown," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    6. Zekun Zhou & Duo Yin & Quan Gao, 2020. "Sense of Presence and Subjective Well-Being in Online Pet Watching: The Moderation Role of Loneliness and Perceived Stress," IJERPH, MDPI, vol. 17(23), pages 1-20, December.
    7. Xin Tian & Jian Fu & Jiaxue Tian & Yu Yang & Wenjie Liang & Wencui Fan & Renqing Zhao, 2021. "The Efficacy of Brief School-Based Exercise Programs in Improving Pubertal Bone Mass and Physical Fitness: A Randomized Controlled Trial," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
    8. Michela Bersia & Paola Berchialla & Lorena Charrier & Patrizia Lemma & Alberto Borraccino & Paola Nardone & Daniela Pierannunzio & Silvia Ciardullo & Rosanna Irene Comoretto & Paola Dalmasso, 2022. "Mental Well-Being: 2010–2018 Trends among Italian Adolescents," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    9. Laura Bitto Urbanova & Jana Holubcikova & Andrea Madarasova Geckova & Sijmen A. Reijneveld & Jitse P. van Dijk, 2019. "Does Life Satisfaction Mediate the Association between Socioeconomic Status and Excessive Internet Use?," IJERPH, MDPI, vol. 16(20), pages 1-10, October.
    10. Miriam Blume & Petra Rattay, 2021. "Association between Physical Activity and Sleep Difficulties among Adolescents in Germany: The Role of Socioeconomic Status," IJERPH, MDPI, vol. 18(18), pages 1-17, September.
    11. Alex V. Teixeira & Denis Alcides Rezende, 2023. "A Multidimensional Information Management Framework for Strategic Digital Cities: A Comparative Analysis of Canada and Brazil," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 107-121, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3499-:d:359294. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.