The Association of Loneliness and Depression With Sociodemographic Characteristics and Internet Use Among Older Adults During the COVID‐19 Pandemic.
Background: Social restrictions during the novel coronavirus 2019 disease (COVID‐19) pandemic negatively impacted the mental health of older adults. This study aimed to examine the associations of loneliness and depression with sociodemographic characteristics and internet use among older adults dur...
| Publicado en: | Psychogeriatrics Vol. 25; no. 5; pp. 1 - 10 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187949562&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187949562 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13463500 Q4N jtl: Psychogeriatrics issn: 13463500 maglogo: Y pubinfo: dt: Sep2025 vid: 25 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 187949562 187949562 187949562 10.1111/psyg.70091 187949562 ppf: 1 ppct: 9 formats: tig: atl: The Association of Loneliness and Depression With Sociodemographic Characteristics and Internet Use Among Older Adults During the COVID‐19 Pandemic. aug: au: Kılıç, Mustafa Akbayram, Hatice Tuba affil: Gaziantep University Faculty of Medicine, Department of Family Medicine, Gaziantep, Turkey sug: subj: Loneliness In Old Age Depression In Old Age Sociodemographic Factors Evaluation Internet Utilization COVID-19 Pandemic Turkiye Human Turkiye Aged Descriptive Statistics Videorecording Extended Family Friendship Communication Mobile Applications Multivariate Analysis Linear Regression Marital Status Poverty Residence Characteristics Sex Factors Male Female Cross Sectional Studies Academic Medical Centers Interviews Questionnaires Data Analysis Software Mann-Whitney U Test Kruskal-Wallis Test Chi Square Test Multiple Logistic Regression Bivariate Statistics Multiple Linear Regression Confidence Intervals Univariate Statistics Loneliness Prevention and Control Aged: 65+ years Male Female ab: Background: Social restrictions during the novel coronavirus 2019 disease (COVID‐19) pandemic negatively impacted the mental health of older adults. This study aimed to examine the associations of loneliness and depression with sociodemographic characteristics and internet use among older adults during the COVID‐19 pandemic. Methods: This cross‐sectional study included 330 geriatric patients between September 1, 2021, and June 1, 2022. Data were collected through face‐to‐face interviews using a questionnaire consisting of a personal information form, the Loneliness Scale for Elderly, and the Geriatric Depression Scale Short Form‐15 (GDS‐15). Results: The participants had a mean age of 71.3 years, 60.3% were female, and regarding internet use, 52.4% reported never using it, 18.8% used it occasionally, and 28.8% used it daily. The most common internet activities were video calls with relatives/friends (39.4%) and sharing messages, photos, or videos via messaging apps (38.2%). In the multivariate linear regression analysis, being married, having low income, living alone, having fewer than five friends, and not using the internet at all were significantly associated with higher levels of loneliness, while higher depression scores were observed among females compared to males and among individuals with low income compared to those with middle or high income. Conclusions: The findings suggest that internet use may have a protective role against loneliness in older adults; however, its effect on reducing depression appears to be limited. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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