ArticleInternational journal of environmental research and public health2020
A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The association of social networks and depression in community-dwelling older adults: a systematic review.Systematic reviews · 2024Pooled it
- Interaction Frequency, Interaction Satisfaction, and Physical Frailty by Living Arrangement among Community-Dwelling Older Adults.Annals of geriatric medicine and research · 2026Article
- Brothers Building Brothers by Breaking Barriers: Protocol for a Pilot Trial of a Telehealth Social Capital Intervention for Young Black Sexual Minority Men Living With HIV.JMIR research protocols · 2025Article
- Prevalence and associated factors of social frailty among older adults in nursing homes: a cross-sectional study.Frontiers in public health · 2025Article
- Analysis of current status and influencing factors of participation in medication safety behaviors among older adult patients with chronic co-morbidities: based on the COM-B model.Frontiers in public health · 2025Article
- Association between the perceived value of adopting new behaviors and depressive symptoms among older adults.Scientific reports · 2024Observational
- The psychological impact of the COVID-19 pandemic in the elderly in southwest China: A longitudinal study based on generalized estimating equations.International journal of disaster risk reduction : IJDRR · 2023Article
- Study Protocol of a Comprehensive Activity Promotion Program for the Prevention of Dementia: A Randomized Controlled Trial Protocol.The journal of prevention of Alzheimer's disease · 2022Article
- Why Nursing Home Residents Use Social Network Systems: An Attachment Perspective.Healthcare (Basel, Switzerland) · 2021Article
- Dynamic Network Analysis of COVID-19 with a Latent Pandemic Space Model.International journal of environmental research and public health · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social engagement and networking deter depression among older adults. During the COVID-19 pandemic, older adults are especially at risk of isolation from face-to-face and non-face-to-face interactions. We developed the National Center for Geriatrics and Gerontology Social Network Scale (NCGG-SNS) to assess frequency of, and satisfaction with, social interactions. The NCGG-SNS consists of four domains: face-to-face/non-face-to-face interactions with family/friends. Each domain score is obtained by multiplying frequency ratings by satisfaction ratings for each item; all scores were summed to obtain a total NCGG-SNS score (range: 0-64). Additionally, face-to-face and non-face-to-face subscores were calculated. Higher scores indicated satisfactory social networking. A cohort of 2445 older Japanese adults completed the NCGG-SNS and the Geriatrics Depression Scale-Short form. Receiver Operating Characteristic (ROC) analysis and logistic regression determined predictive validity for depressive symptoms. Depressive symptoms were reported by 284 participants (11.6%). The optimal NCGG-SNS cut-off value to identify depressive symptoms was 26.5 points. In logistic regression analysis adjusted for potential confounders, lower NCGG-SNS values were significantly associated with greater prevalence of depressive symptoms. Face-to-face and non-face-to-face subscores were associated with depressive symptoms. The NCGG-SNS is a valid and useful indicator of multidimensional social networking enabling identification of depressive symptoms in older adults.
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