The Transition of Social Isolation and Related Psychological Factors in 2 Mild Lockdown Periods During the COVID-19 Pandemic in Japan: Longitudinal Survey Study

被引:5
作者
Sugaya, Nagisa [1 ]
Yamamoto, Tetsuya [2 ]
Suzuki, Naho [3 ]
Uchiumi, Chigusa [2 ]
机构
[1] Yokohama City Univ, Sch Med, Unit Publ Hlth & Prevent Med, Yokohama, Kanagawa, Japan
[2] Tokushima Univ, Grad Sch Technol Ind & Social Sci, 1-1 Minamijosanjima Cho, Tokushima 7708502, Japan
[3] Tokushima Univ, Grad Sch Sci & Technol Innovat, Tokushima, Japan
基金
日本学术振兴会;
关键词
coronavirus disease 2019; mild lockdown; social isolation; longitudinal survey; public health; surveillance; epidemiology; COVID-19; pandemic; lockdown; psychological behavior; social factors; mental health; MENTAL-HEALTH; LONELINESS; PERFORMANCE; DEPRESSION; VERSION; VALIDITY; SCALE; K6;
D O I
10.2196/32694
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Lockdowns and stay-at-home orders announced internationally for COVID-19 have led to physical and social distancing, with reports of many individuals experiencing social isolation (SI) and loneliness. Although the emergency declaration in Japan was declared as a "mild" lockdown requested by the government without penalties for violations, the lockdown measures, including SI, had several influences on people's lives and mental health as in other countries. Furthermore, Japan declared a state of emergency multiple times; thus, it is necessary to examine the influence of the transition of SI caused by repeated emergency declarations and the deterioration of mental health associated with these changes. Objective: This study longitudinally investigated the transition of SI and its related factors during the mild lockdown under 2 declared states of emergency in Japan and analyzed psychosocial characteristics by extracting clusters where people with specific transition patterns of SI predominated. Methods: We collected data on 7893 inhabitants (3694 [46.8%] women, 49.6 [SD 13.7] years old) living in the 7 prefectures where the initial emergency declaration was applied. The investigations took place online in the final phase of the first and second states of emergency: phase 1 (between May 11 and 12, 2020) and phase 2 (between February 24 and 28, 2021). Nonparametric Bayesian coclustering was used to visualize the exhaustive interaction structure between the transition pattern of SI and the psychosocial variables. Results: There were no improvements in social networks and loneliness between the 2 phases, although psychological distress significantly improved and depression slightly decreased. Overall, 3868 (49%) of the 7893 participants remained socially isolated through phases 1 and 2, and 947 (12%) were socially isolated in phase 2, even though they were not socially isolated in phase 1. More participants experienced persistent SI in unmarried, childless, and low-household-income groups. The persistent-SI group had fewer cohabitants than other transition pattern groups. The nonparametric Bayesian coclustering results showed that most clusters, including participants without SI throughout phases 1 and 2, had healthy behaviors, more interactions, good relationships, and less loneliness and psychological stress. Furthermore, the cluster in which relationships deteriorated in phase 1 recovered in phase 2. Comparatively, the clusters with SI throughout phases 1 and 2 were divided into clusters with increased loneliness and psychological stress; clusters were close to participants' average scores in this study. The clusters with increased loneliness and psychological stress were notable for deteriorating relationships and less online interaction. Conclusions: This study revealed the actual state of transition of SI and related psychological, social, and behavioral factors under repeated declarations of a state of emergency. These results should help construct intervention methods that fit individual characteristics of people in SI during a pandemic.
引用
收藏
页数:15
相关论文
共 39 条
[21]  
Ministry of Health Labour and Welfare, NUMB PEOPL TEST POS
[22]  
Ministry of Land Infrastructure Transport and Tourism, 2021, MONTHL REP STAT SURV
[23]   Performance of the Japanese version of the Patient Health Questionnaire-9 (J-PHQ-9) for depression in primary care [J].
Muramatsu, Kumiko ;
Miyaoka, Hitoshi ;
Kamijima, Kunitoshi ;
Muramatsu, Yoshiyuki ;
Tanaka, Yutaka ;
Hosaka, Michio ;
Miwa, Yusuke ;
Fuse, Katsuya ;
Yoshimine, Fumitoshi ;
Mashima, Ichiro ;
Shimizu, Natsue ;
Ito, Hiroto ;
Shimizu, Eiji .
GENERAL HOSPITAL PSYCHIATRY, 2018, 52 :64-69
[24]   The loneliness pandemic: Loneliness and other concomitants of depression, anxiety and their comorbidity during the COVID-19 outbreak [J].
Palgi, Yuval ;
Shrira, Amit ;
Ring, Lia ;
Bodner, Ehud ;
Avidor, Sharon ;
Bergman, Yoav ;
Cohen-Fridel, Sara ;
Keisari, Shoshi ;
Hoffman, Yaakov .
JOURNAL OF AFFECTIVE DISORDERS, 2020, 275 :109-111
[25]  
Peplau LA., 1982, LONELINESS SOURCEBOO
[26]   Social factors and the prevalence of social isolation in a population-based adult cohort [J].
Roehr, Susanne ;
Wittmann, Felix ;
Engel, Christoph ;
Enzenbach, Cornelia ;
Witte, A. Veronica ;
Villringer, Arno ;
Loeffler, Markus ;
Riedel-Heller, Steffi G. .
SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY, 2022, 57 (10) :1959-1968
[27]   UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure [J].
Russell, DW .
JOURNAL OF PERSONALITY ASSESSMENT, 1996, 66 (01) :20-40
[28]   Directional Effects of Social Isolation and Quality of Life on Anxiety Levels Among Community-Dwelling Older Adults During a COVID-19 Lockdown [J].
Siew, Savannah Kiah Hui ;
Mahendran, Rathi ;
Yu, Junhong .
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2021, 29 (12) :1274-1279
[29]   Social isolation and its psychosocial factors in mild lockdown for the COVID-19 pandemic: a cross-sectional survey of the Japanese population [J].
Sugaya, Nagisa ;
Yamamoto, Tetsuya ;
Suzuki, Naho ;
Uchiumi, Chigusa .
BMJ OPEN, 2021, 11 (07)
[30]   A real-time survey on the psychological impact of mild lockdown for COVID-19 in the Japanese population [J].
Sugaya, Nagisa ;
Yamamoto, Tetsuya ;
Suzuki, Naho ;
Uchiumi, Chigusa .
SCIENTIFIC DATA, 2020, 7 (01)