IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16213-d993004.html
   My bibliography  Save this article

Smartphone Use Is Associated with Low Prevalence of Locomotive Syndrome among Elderly Individuals with Musculoskeletal Disorders

Author

Listed:
  • Naoto Miyashita

    (Department of Orthopedic Surgery, Aichi Medical University, Nagakute 480-1195, Japan)

  • Tomohiro Ishida

    (Department of Orthopedic Surgery, Aichi Medical University, Nagakute 480-1195, Japan
    Department of Rehabilitation, Aichi Medical University Hospital, Nagakute 480-1195, Japan)

  • Tatsunori Ikemoto

    (Department of Orthopedic Surgery, Aichi Medical University, Nagakute 480-1195, Japan)

  • Atsuhiko Hirasawa

    (Department of Orthopedic Surgery, Aichi Medical University, Nagakute 480-1195, Japan)

  • Young-Chang Arai

    (Multidisciplinary Pain Center, School of Medicine, Aichi Medical University, Nagakute 480-1195, Japan)

  • Masataka Deie

    (Department of Orthopedic Surgery, Aichi Medical University, Nagakute 480-1195, Japan)

Abstract

Objectives: Physical activity management through smartphone applications is increasing worldwide; however, it is unclear whether smartphone users among elderly Japanese individuals with musculoskeletal disorders are less likely to experience “locomotive syndrome” (LoS). We aimed to test the hypothesis that LoS in smartphone users had lower prevalence than that in non-smartphone users among elderly individuals with musculoskeletal disorders. Methods: Elderly participants, aged ≥60 years, who visited the outpatient clinic were enrolled. All participants were asked whether or not they used smartphones and were allocated into either the smartphone group or the non-smartphone group. After completing the 25-question Geriatric Locomotive Function Scale (GLFS-25), LoS prevalence was determined by 3-stage cutoff values of the GLFS-25 score (≥7, ≥16, and ≥24), and the total and three subdomain scores (body pain, movement-related difficulty, and psychosocial complications) were compared between the two groups. Generalized linear regression was then performed to confirm whether the use of smartphones was associated with lower GLFS-25 scores, even after controlling for confounders. Results: Overall, 266 participants, aged ≥60 years, were recruited. LoS prevalence was significantly higher in the non-smartphone group than in the smartphone group at all stages (all p < 0.001). Mean GLFS-25 total and subdomain scores were significantly lower in the smartphone group than in the non-smartphone group (all p < 0.001), and these statistical relationships were maintained even after controlling for age and sex. Conclusions: Smartphone use was associated with low LoS prevalence and low GLFS-25 scores among elderly individuals with musculoskeletal disorders, although the causal relationship remains unclear.

Suggested Citation

  • Naoto Miyashita & Tomohiro Ishida & Tatsunori Ikemoto & Atsuhiko Hirasawa & Young-Chang Arai & Masataka Deie, 2022. "Smartphone Use Is Associated with Low Prevalence of Locomotive Syndrome among Elderly Individuals with Musculoskeletal Disorders," IJERPH, MDPI, vol. 19(23), pages 1-8, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16213-:d:993004
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16213/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/16213/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tim Althoff & Rok Sosič & Jennifer L. Hicks & Abby C. King & Scott L. Delp & Jure Leskovec, 2017. "Large-scale physical activity data reveal worldwide activity inequality," Nature, Nature, vol. 547(7663), pages 336-339, July.
    Full references (including those not matched with items on IDEAS)

    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. Jeong-Hui Park & Eunhye Yoo & Youngdeok Kim & Jung-Min Lee, 2021. "What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    2. LU, Yi & Zhao, Jianting & Wu, Xueying & Lo, Siu Ming, 2020. "Escaping to nature in pandemic: a natural experiment of COVID-19 in Asian cities," SocArXiv rq8sn, Center for Open Science.
    3. Steffen C E Schmidt & Bastian Anedda & Alexander Burchartz & Doris Oriwol & Simon Kolb & Hagen Wäsche & Claudia Niessner & Alexander Woll, 2020. "The physical activity of children and adolescents in Germany 2003-2017: The MoMo-study," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-11, July.
    4. Cristiana Lucretia POP & Cristina FILIP & Rela Valentina CIOMAG & Cristina Ionela NAE & Marian Victor ZAMFIR, 2022. "Walking – a Form of Exercise," Marathon, Department of Pshisycal Education and Sport, Academy of Economic Studies, Bucharest, Romania, vol. 14(2), pages 77-83, December.
    5. Rodrigo Victoriano-Habit & Ahmed El-Geneidy, 2024. "Studying the Interrelationship between Telecommuting during COVID-19, residential local accessibility, and active travel: a panel study in Montréal, Canada," Transportation, Springer, vol. 51(3), pages 1149-1166, June.
    6. Caroline J. Dodd-Reynolds & Dimitris Vallis & Adetayo Kasim & Nasima Akhter & Coral L. Hanson, 2020. "The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes, Expectations and Experiences across a Social Gradient," IJERPH, MDPI, vol. 17(15), pages 1-21, July.
    7. Elisa Menardo & Stefano De Dominicis & Margherita Pasini, 2022. "Exploring Perceived and Objective Measures of the Neighborhood Environment and Associations with Physical Activity among Adults: A Review and a Meta-Analytic Structural Equation Model," IJERPH, MDPI, vol. 19(5), pages 1-15, February.
    8. Angelo Rampinelli & Juan Felipe Calderón & Carola A. Blazquez & Karen Sauer-Brand & Nicolás Hamann & José Ignacio Nazif-Munoz, 2022. "Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile," IJERPH, MDPI, vol. 19(17), pages 1-21, September.
    9. Regiane Lopes de Sales & EvenJheice Calixto de Oliveira, 2018. "Glycemic Index and Glycemic Load in Children and Adolescents and its Association with Obesity and Diabetes," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 6(5), pages 86-88, March.
    10. Alesia Ferguson & Ashok Dwivedi & Foluke Adelabu & Esther Ehindero & Mehdi Lamssali & Emmanuel Obeng-Gyasi & Kristina Mena & Helena Solo-Gabriele, 2021. "Quantified Activity Patterns for Young Children in Beach Environments Relevant for Exposure to Contaminants," IJERPH, MDPI, vol. 18(6), pages 1-19, March.
    11. Massimiliano Pau & Micaela Porta & Giancarlo Coghe & Jessica Frau & Lorena Lorefice & Eleonora Cocco, 2020. "Does Multiple Sclerosis Differently Impact Physical Activity in Women and Man? A Quantitative Study Based on Wearable Accelerometers," IJERPH, MDPI, vol. 17(23), pages 1-13, November.
    12. Sharifullah Alemi & Keiko Nakamura & Ahmad Shekib Arab & Mohammad Omar Mashal & Yuri Tashiro & Kaoruko Seino & Shafiqullah Hemat, 2021. "Gender-Specific Prevalence of Risk Factors for Non-Communicable Diseases by Health Service Use among Schoolteachers in Afghanistan," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    13. Jina Suh & Eric Horvitz & Ryen W. White & Tim Althoff, 2022. "Disparate impacts on online information access during the Covid-19 pandemic," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    14. Daichi Okabe & Taishi Tsuji & Masamichi Hanazato & Yasuhiro Miyaguni & Nao Asada & Katsunori Kondo, 2019. "Neighborhood Walkability in Relation to Knee and Low Back Pain in Older People: A Multilevel Cross-Sectional Study from the JAGES," IJERPH, MDPI, vol. 16(23), pages 1-13, November.
    15. Marek Franěk & Lukáš Režný, 2021. "Environmental Features Influence Walking Speed: The Effect of Urban Greenery," Land, MDPI, vol. 10(5), pages 1-20, April.
    16. Hayati Sari Hasibuan & Mari Mulyani, 2022. "Transit-Oriented Development: Towards Achieving Sustainable Transport and Urban Development in Jakarta Metropolitan, Indonesia," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    17. Golan Benisti & Orna Baron-Epel, 2023. "Applying the Socioecological Model to Map Factors Associated with Military Physical Activity Adherence," IJERPH, MDPI, vol. 20(11), pages 1-12, June.
    18. Shulin Lai & Yuquan Zhou & Yuan Yuan, 2021. "Associations between Community Cohesion and Subjective Wellbeing of the Elderly in Guangzhou, China—A Cross-Sectional Study Based on the Structural Equation Model," IJERPH, MDPI, vol. 18(3), pages 1-23, January.
    19. German Data Forum RatSWD (ed.), 2020. "Data collection using new information technology," RatSWD Output Series, German Data Forum (RatSWD), volume 6, number 6-6en.
    20. Muhammad Badar Habib & Selina Khoo & Tony Morris, 2022. "Motives and Passion of Adults from Pakistan toward Physical Activity," IJERPH, MDPI, vol. 19(6), pages 1-17, 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:19:y:2022:i:23:p:16213-:d:993004. 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.