ArticleBMC public health2025
Smartphone addiction among elderly individuals: its relationship with physical activity, activities of daily living, and balance levels.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- You are doubly excluded: the interplay of cyberostracism and perceived parental phubbing in predicting problematic smartphone use.Addictive behaviors reports · 2026Article
- Digital Addiction and Body Balance: An Investigation of Postural Stability in Young Adults: A Cross-Sectional Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026Article
- Latent profile analysis of health-related quality of life among older adults with age-related thoracic hyperkyphosis.Scientific reports · 2026Article
- Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data.JMIR aging · 2026Article
- The Level of Smartphone Addiction and Its Relationship to High Blood Pressure Among Middle-Aged and Elderly People in Rural Areas of China.Nature and science of sleep · 2026Article
- Health correlates and health-related outcomes associated with smartphone-related addictive behaviors in older adults: a scoping review.Frontiers in public health · 2026Article
- Identity reconstruction and digital addiction: the paradoxical mechanism of digital inclusion among the new generation of older adults.Frontiers in psychology · 2026Article
- Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025Review
- The impact of internet use on the subjective age of older adults: evidence and mechanisms.Frontiers in public health · 2025Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe growing use of smartphones among elderly individuals, driven by social and informational needs, may lead to smartphone addiction, potentially impacting their daily lives. This study aimed to determine whether there is a difference in physical activity, activities of daily living, and balance levels between elderly individuals with and without smartphone addiction.
methodsThis descriptive and cross-sectional study included 94 elderly individuals. Data were obtained using the Smartphone Addiction Scale-Short Version (SAS-SV), the Physical Activity Scale for the Elderly (PASE), the Lawton Instrumental Activities of Daily Living Scale (Lawton IADL), the Fullerton Advanced Balance Scale (FAB-T), and the Timed Up and Go Test (TUG). The participants were divided into two groups according to their SAS-SV scores: those with (n = 45) and those without (n = 49) smartphone addiction.
resultsWhen the groups with and without smartphone addiction were compared, there was a significant difference between the groups in terms of Lawton IADL (t = 4.223, p < 0.001), total PASE (t = 7.791, p < 0.001), PASE work-related activity (t = 2.541, p = 0.013), household activity (t = 3.598, p = 0.001), and leisure activity (t = 7.063, p < 0.001). Structural equation modeling showed that Lawton IADL (β = -0.320, p < 0.001), PASE total (β = -0.518, p < 0.001), and PASE work-related activity (β = -0.211, p = 0.033), household activity (β = -0.300, p = 0.002), and leisure time activity (β = -0.483, p < 0.001) subscales had a direct negative predictive effect on SAS-SV. FAB-T had a direct positive predictive effect on total PASE (β = 0.186, p = 0.030) and work-related activity subscales (β = 0.197, p = 0.046). FAB-T had a direct positive predictive effect on Lawton IADL (β = 0.247, p = 0.009), but a direct negative effect on TUG (β = -0.541, p < 0.001).
conclusionsThe study determined that smartphone addiction was directly related to the maintenance of physical activity and daily living activities in elderly individuals but did not lead to a change in balance status. Future studies should consider including potential confounders, such as baseline physical fitness, socioeconomic status, and cognitive impairment, in structural equation modeling to provide more comprehensive insights.
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