Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study
Abstract Introduction Exploring the association between technology use and sleep health in older adults is important as digital engagement becomes integrated into society. Objective This study aimed to examine sleep health and its association with technology use in a population-based cohort of 60 ye...
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2025-08-01
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| author | Sarah Nauman Ghazi Anders Behrens Johan Sanmartin Berglund Jessica Berner Peter Anderberg |
| author_facet | Sarah Nauman Ghazi Anders Behrens Johan Sanmartin Berglund Jessica Berner Peter Anderberg |
| author_sort | Sarah Nauman Ghazi |
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| description | Abstract Introduction Exploring the association between technology use and sleep health in older adults is important as digital engagement becomes integrated into society. Objective This study aimed to examine sleep health and its association with technology use in a population-based cohort of 60 years and older. Methods This cross-sectional, population-based study (2023) included 436 older adults from the Swedish National Study on Aging and Care, Blekinge (SNAC-B) population. These participants were sent questionnaires about their sleep, internet usage, Digital Social Participation (DSP), Technology Anxiety (TA), Technology Enthusiasm (TE), and use of information and communication technology. We used a multidimensional instrument, SATED, to measure sleep health. In this study, we conducted statistical analyses using the chi2 test, T-test, Pearson correlation, and backward linear and logistic regression. Results Our study found that older adults (60 years+) have a mean sleep health score of 7.40 (SD = 2.03). TE ( $$r = 0.18$$ , $$p < 0.001$$ ) and DSP ( $$r = 0.14$$ , $$p = 0.004$$ ) were positively associated with better sleep health, while TA ( $$r = -0.15$$ , $$p = 0.003$$ ) was negatively associated. Frequent internet users(M = 7.6) and engaging with screens before bedtime (M = 7.7) had higher sleep health scores compared to non-frequent users (M = 6.90, $$p = 0.002$$ ) and none or seldom engagement with screens before bedtime (M = 7.10, $$p= 0.003$$ ) respectively. Linear regression showed TE positively associated ( $$\beta$$ = 0.241, $$p=0.012$$ ) while TA negatively associated ( $$\beta$$ = -0.220, $$p=0.029$$ ) with sleep health. DSP was found to be a predictor of better satisfaction (OR: 1.32, $$p= 0.009$$ ), efficiency (OR: 1.16, $$p=0.026$$ ), and duration of sleep (OR:1.16, $$p= 0.042$$ ). Lower TA predicted better satisfaction (OR: 0.81, $$p=0.04$$ ), timing (OR: 0.74, $$p=0.04$$ ), and efficiency (OR:0.78, $$p=0.01$$ ) of sleep. Older adults who use technology one hour before sleep have better sleep timing (OR: 3.003, $$p=0.002$$ ), while those who do use mobile phones with a screen during the awake period after sleep onset have poor sleep timing (OR:0.016, $$p=0.002$$ ). Conclusions DSP and TE support better sleep health, while TA negatively impacts sleep satisfaction, timing, and efficiency. Encouraging positive digital engagement and minimizing technology-related stress may promote healthier sleep in older adults. |
| format | Article |
| id | doaj-art-3f67fcad1e6342dcbd40738645bfb7a5 |
| institution | Kabale University |
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| spelling | doaj-art-3f67fcad1e6342dcbd40738645bfb7a52025-08-24T11:56:14ZengBMCBMC Public Health1471-24582025-08-0125111410.1186/s12889-025-23894-8Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based studySarah Nauman Ghazi0Anders Behrens1Johan Sanmartin Berglund2Jessica Berner3Peter Anderberg4Department of Health, Blekinge Institute of TechnologyDepartment of Health, Blekinge Institute of TechnologyDepartment of Health, Blekinge Institute of TechnologyDepartment of Health, Blekinge Institute of TechnologyDepartment of Health, Blekinge Institute of TechnologyAbstract Introduction Exploring the association between technology use and sleep health in older adults is important as digital engagement becomes integrated into society. Objective This study aimed to examine sleep health and its association with technology use in a population-based cohort of 60 years and older. Methods This cross-sectional, population-based study (2023) included 436 older adults from the Swedish National Study on Aging and Care, Blekinge (SNAC-B) population. These participants were sent questionnaires about their sleep, internet usage, Digital Social Participation (DSP), Technology Anxiety (TA), Technology Enthusiasm (TE), and use of information and communication technology. We used a multidimensional instrument, SATED, to measure sleep health. In this study, we conducted statistical analyses using the chi2 test, T-test, Pearson correlation, and backward linear and logistic regression. Results Our study found that older adults (60 years+) have a mean sleep health score of 7.40 (SD = 2.03). TE ( $$r = 0.18$$ , $$p < 0.001$$ ) and DSP ( $$r = 0.14$$ , $$p = 0.004$$ ) were positively associated with better sleep health, while TA ( $$r = -0.15$$ , $$p = 0.003$$ ) was negatively associated. Frequent internet users(M = 7.6) and engaging with screens before bedtime (M = 7.7) had higher sleep health scores compared to non-frequent users (M = 6.90, $$p = 0.002$$ ) and none or seldom engagement with screens before bedtime (M = 7.10, $$p= 0.003$$ ) respectively. Linear regression showed TE positively associated ( $$\beta$$ = 0.241, $$p=0.012$$ ) while TA negatively associated ( $$\beta$$ = -0.220, $$p=0.029$$ ) with sleep health. DSP was found to be a predictor of better satisfaction (OR: 1.32, $$p= 0.009$$ ), efficiency (OR: 1.16, $$p=0.026$$ ), and duration of sleep (OR:1.16, $$p= 0.042$$ ). Lower TA predicted better satisfaction (OR: 0.81, $$p=0.04$$ ), timing (OR: 0.74, $$p=0.04$$ ), and efficiency (OR:0.78, $$p=0.01$$ ) of sleep. Older adults who use technology one hour before sleep have better sleep timing (OR: 3.003, $$p=0.002$$ ), while those who do use mobile phones with a screen during the awake period after sleep onset have poor sleep timing (OR:0.016, $$p=0.002$$ ). Conclusions DSP and TE support better sleep health, while TA negatively impacts sleep satisfaction, timing, and efficiency. Encouraging positive digital engagement and minimizing technology-related stress may promote healthier sleep in older adults.https://doi.org/10.1186/s12889-025-23894-8Sleep healthTechnology useOlder adultsSNAC-BGerontechnology |
| spellingShingle | Sarah Nauman Ghazi Anders Behrens Johan Sanmartin Berglund Jessica Berner Peter Anderberg Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study BMC Public Health Sleep health Technology use Older adults SNAC-B Gerontechnology |
| title | Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study |
| title_full | Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study |
| title_fullStr | Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study |
| title_full_unstemmed | Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study |
| title_short | Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study |
| title_sort | examining sleep health and its associations with technology use among older adults in sweden insights from a population based study |
| topic | Sleep health Technology use Older adults SNAC-B Gerontechnology |
| url | https://doi.org/10.1186/s12889-025-23894-8 |
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