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This study investigated the impact of stay-at-home orders on depressive symptoms among community-dwelling older adults during the early stages of the COVID-19 pandemic. A questionnaire was administered to older adults living in Ayase City, Kanagawa Prefecture, in July 2020, after the Japanese government declared its first COVID-19 state of emergency and stay-at-home order. In a sample of 1056 people, 69.1% were stay-at-home, and 30.9% were not. Those in the first group were more likely to be women, young-old, or non-workers. In addition, the patients tended to have more diseases. Of the participants, 39.3% had depressive symptoms and 60.7% did not. Multivariate analysis revealed that depressive symptoms were associated with increased frequency of being alone during the daytime (OR = 1.27; 95% CI = 1.07, 1.51), less face-to-face contact with friends or acquaintances (OR = 0.78; 95% CI = 0.65, 0.94), increased contact with friends or acquaintances through email/LINE app (OR = 1.29; 95% CI = 1.03, 1.60), and refraining from going out (OR = 1.54; 95% CI = 1.12, 2.09). These results suggest that quarantine measures related to soft lockdowns may aggravate the mental health of community-dwelling older adults. Therefore, it is necessary to consider macro-level policies. [ABSTRACT FROM AUTHOR]

We visualize the rates of stay-home for residents by region using the difference between day-time and night-time populations to detect residential areas, and then observing the numbers of people leaving residential areas. There are issues with measuring stay-home rates by observing numbers of people visiting downtown areas, such as central urban shopping centers and major train stations. The first is that we cannot eliminate the possibility that people will avoid areas being observed and go to other areas. The second is that for people visiting downtown areas, we cannot know where they reside. These issues can be resolved if we quantify the degree of stay-home using the number of people leaving residential areas. There are significant differences in stay-home levels by region throughout Japan. By this visualization, residents of each region can see whether their level of stay-home is adequate or not, and this can provide incentive toward compliance suited to the residents of the region. [ABSTRACT FROM AUTHOR]