This article was originally published here
J Med Internet Res. 2020 Dec 5. doi: 10.2196/24775. Online ahead of print.
BACKGROUND: The residential lockdowns were implemented in quite a few cities in China to contain the rapid spread of Corona Virus Disease 2019 (COVID-19). Although the excessively stringent regulation effectively slowed the spread of the disease, it might have challenged the well-being of the residents.
OBJECTIVE: This study aims to explore the effect of the residential lockdown on subjective well-being (SWB) of individuals during COVID-19.
METHODS: The sample consisted of 1,790 lockdown residents (73.18% female) and 3,580 non-lockdown residents (gender matched with 1,790 lockdown residents) on Sina Weibo. In both the lockdown and non-lockdown groups, we calculated the SWB indicators during the 2 weeks before and after the enforcement date of the residential lockdown, using individuals’ original posts on Sina Weibo. This calculation of SWB was via online ecological recognition (OER), which was based on established machine-learning predictive models.
RESULTS: The time (before the residential lockdown, after the residential lockdown) × area (lockdown, non-lockdown) interactions in integral analysis (N = 5370) showed that after the residential lockdown, compared with non-lockdown group, the lockdown group scored lower in some negative SWB indicators, including somatization (F(1, 5368) = 13.593, P < .001) and paranoid ideation (F(1, 5368) = 14.333, P < .001). The time (before the residential lockdown, after the residential lockdown) × area (developed, under-developed) interactions in the comparison of the residential lockdown areas with different economic development (N = 1790) indicated