key: cord-0769271-pw51kd1r
authors: Yamada, Yukari; Uchida, Tomoe; Ogino, Mari; Ikenoue, Tatsuyoshi; Shiose, Takayuki; Fukuma, Shingo
title: Changes in older people's activities during the Covid-19 pandemic in Japan
date: 2020-08-03
journal: J Am Med Dir Assoc
DOI: 10.1016/j.jamda.2020.07.039
sha: 8d47c22e8509fc3f77c05188151cd4f0bd39f4cd
doc_id: 769271
cord_uid: pw51kd1r

SUMMARY Behaviors of older adults, the population most vulnerable to Covid-19, may be one of keys in tacking the virus as a country, though it is not usually covered in a mobility big data. Our unique IoT data shows older adults have considerably decreased their social and physical activities in response to social distancing messages from community.

The rapid spread of the coronavirus disease 2019 (Covid-19) pandemic has led state and local 3 leaders to introduce social/physical distancing and self-isolation. Aggregated mobility data 4 collected by private companies has been available to help understand the impact of such 5 measures on population mobility patterns. 1 However, because the older population is not 6 likely to be represented in such data, partly due to their technology adaptation issues, 2, 3 we 7 may not know how older adults have reacted to these community/policy messages. We had access to a unique dataset comprising behavior logs of older adults living in a 10 continuing care retirement community (CCRC), which enabled us to estimate the time spent During the follow-up period from January 1, 2020 until May 25, 2020, there were two major 17 messages related to Covid-19 to senior residents: first, the CCRC announced the cancellation 18 of all upcoming in-facility events/exhibitions and the closure of some common facilities as a 19 precaution measure (24 February); subsequently, the state of emergency was declared by the 20 prime minister, asking people to stay at home (7 April), and this was eventually lifted by the 21 end of the follow-up period. Figure 1 shows ( (Table S1 ).

The time spent in common areas is likely to be related to face-to-face social interaction, 33 which is usually an important aspect of healthy ageing; however, such interaction is to be 34 avoided during the Covid-19 pandemic. The data showed that older adults reduced their 

Aggregated mobility data could help fight 62

Age differences in perceptions of online 64 community participation among non-users: An extension of the Technology 65

Acceptance Model

Older adults talk technology: Technology 68 usage and attitudes

Learning Health System In A Senior 71 Retirement Community: A Platform To Promote Implementation

Conducting interrupted time-series analysis for single-and multiple-group 75 comparisons

We would like to thank all the staff and residents in Kyoto Yuyunosato for their immeasurable cooperation. The authors thank Akihisa Tatsumi, Maya Kusunoki, and Chiaki Kuwata for their ongoing cooperation in the Tekuteku beacon project. We obtained written IC from all participants. We analyzed data anonymously using research ID while we securely use a resident name table linking to the research ID for making individual feedback sheets. This research was conducted in accordance with the principles embodied in the Declaration of Helsinki