TY - JOUR
PY - 2020//
TI - A new social network scale for detecting depressive symptoms in older Japanese adults
JO - International journal of environmental research and public health
A1 - Bae, Seongryu
A1 - Harada, Kenji
A1 - Chiba, Ippei
A1 - Makino, Keitaro
A1 - Katayama, Osamu
A1 - Lee, Sangyoon
A1 - Shinkai, Yohei
A1 - Shimada, Hiroyuki
SP - e8874
EP - e8874
VL - 17
IS - 23
N2 - 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. Language: en
LA - en
SN - 1661-7827
UR - http://dx.doi.org/10.3390/ijerph17238874
ID - ref1
ER -