Your browser doesn't support javascript.
A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults.
Bae, Seongryu; Harada, Kenji; Chiba, Ippei; Makino, Keitaro; Katayama, Osamu; Lee, Sangyoon; Shinkai, Yohei; Shimada, Hiroyuki.
  • Bae S; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Harada K; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Chiba I; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Makino K; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Katayama O; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Lee S; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Shinkai Y; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
  • Shimada H; Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi 474-8511, Japan.
Int J Environ Res Public Health ; 17(23)2020 11 29.
Article in English | MEDLINE | ID: covidwho-948963
Semantic information from SemMedBD (by NLM)
1. Depressive Symptoms PROCESS_OF Elderly (population group)
Subject
Depressive Symptoms
Predicate
PROCESS_OF
Object
Elderly (population group)
2. Depressive disorder PROCESS_OF Elderly (population group)
Subject
Depressive disorder
Predicate
PROCESS_OF
Object
Elderly (population group)
3. Depressive Symptoms PROCESS_OF Elderly (population group)
Subject
Depressive Symptoms
Predicate
PROCESS_OF
Object
Elderly (population group)
4. Depressive disorder PROCESS_OF Elderly (population group)
Subject
Depressive disorder
Predicate
PROCESS_OF
Object
Elderly (population group)
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Depression / Social Networking Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Aged / Humans Country/Region as subject: Asia Language: English Year: 2020 Document Type: Article Affiliation country: Ijerph17238874

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Depression / Social Networking Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Aged / Humans Country/Region as subject: Asia Language: English Year: 2020 Document Type: Article Affiliation country: Ijerph17238874