TY - JOUR
T1 - Behavioral factors associated with SARS-CoV-2 infection in Japan
AU - Arashiro, Takeshi
AU - Arima, Yuzo
AU - Muraoka, Hirokazu
AU - Sato, Akihiro
AU - Oba, Kunihiro
AU - Uehara, Yuki
AU - Arioka, Hiroko
AU - Yanai, Hideki
AU - Yanagisawa, Naoki
AU - Nagura, Yoshito
AU - Kato, Yasuyuki
AU - Kato, Hideaki
AU - Ueda, Akihiro
AU - Ishii, Koji
AU - Ooki, Takao
AU - Oka, Hideaki
AU - Nishida, Yusuke
AU - Stucky, Ashley
AU - Miyahara, Reiko
AU - Smith, Chris
AU - Hibberd, Martin
AU - Ariyoshi, Koya
AU - Suzuki, Motoi
N1 - Publisher Copyright:
© 2022 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.
PY - 2022/9
Y1 - 2022/9
N2 - Background: The relative burden of COVID-19 has been less severe in Japan. One reason for this may be the uniquely strict restrictions imposed upon bars/restaurants. To assess if this approach was appropriately targeting high-risk individuals, we examined behavioral factors associated with SARS-CoV-2 infection in the community. Methods: This multicenter case–control study involved individuals receiving SARS-CoV-2 testing in June–August 2021. Behavioral exposures in the past 2 weeks were collected via questionnaire. SARS-CoV-2 PCR-positive individuals were cases, while PCR-negative individuals were controls. Results: The analysis included 778 individuals (266 [34.2%] positives; median age [interquartile range] 33 [27–43] years). Attending three or more social gatherings was associated with SARS-CoV-2 infection (adjusted odds ratio [aOR] 2.00 [95% CI 1.31–3.05]). Attending gatherings with alcohol (aOR 2.29 [1.53–3.42]), at bars/restaurants (aOR 1.55 [1.04–2.30]), outdoors/at parks (aOR 2.87 [1.01–8.13]), at night (aOR 2.07 [1.40–3.04]), five or more people (aOR 1.81 [1.00–3.30]), 2 hours or longer (aOR 1.76 [1.14–2.71]), not wearing a mask during gatherings (aOR 4.18 [2.29–7.64]), and cloth mask use (aOR 1.77 [1.11–2.83]) were associated with infection. Going to karaoke (aOR 2.53 [1.25–5.09]) and to a gym (aOR 1.87 [1.11–3.16]) were also associated with infection. Factors not associated with infection included visiting a cafe with others, ordering takeout, using food delivery services, eating out by oneself, and work/school/travel-related exposures including teleworking. Conclusions: We identified multiple behavioral factors associated with SARS-CoV-2 infection, many of which were in line with the policy/risk communication implemented in Japan. Rapid assessment of risk factors can inform decision making.
AB - Background: The relative burden of COVID-19 has been less severe in Japan. One reason for this may be the uniquely strict restrictions imposed upon bars/restaurants. To assess if this approach was appropriately targeting high-risk individuals, we examined behavioral factors associated with SARS-CoV-2 infection in the community. Methods: This multicenter case–control study involved individuals receiving SARS-CoV-2 testing in June–August 2021. Behavioral exposures in the past 2 weeks were collected via questionnaire. SARS-CoV-2 PCR-positive individuals were cases, while PCR-negative individuals were controls. Results: The analysis included 778 individuals (266 [34.2%] positives; median age [interquartile range] 33 [27–43] years). Attending three or more social gatherings was associated with SARS-CoV-2 infection (adjusted odds ratio [aOR] 2.00 [95% CI 1.31–3.05]). Attending gatherings with alcohol (aOR 2.29 [1.53–3.42]), at bars/restaurants (aOR 1.55 [1.04–2.30]), outdoors/at parks (aOR 2.87 [1.01–8.13]), at night (aOR 2.07 [1.40–3.04]), five or more people (aOR 1.81 [1.00–3.30]), 2 hours or longer (aOR 1.76 [1.14–2.71]), not wearing a mask during gatherings (aOR 4.18 [2.29–7.64]), and cloth mask use (aOR 1.77 [1.11–2.83]) were associated with infection. Going to karaoke (aOR 2.53 [1.25–5.09]) and to a gym (aOR 1.87 [1.11–3.16]) were also associated with infection. Factors not associated with infection included visiting a cafe with others, ordering takeout, using food delivery services, eating out by oneself, and work/school/travel-related exposures including teleworking. Conclusions: We identified multiple behavioral factors associated with SARS-CoV-2 infection, many of which were in line with the policy/risk communication implemented in Japan. Rapid assessment of risk factors can inform decision making.
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U2 - 10.1111/irv.12992
DO - 10.1111/irv.12992
M3 - Article
C2 - 35470969
AN - SCOPUS:85128744743
SN - 1750-2640
VL - 16
SP - 952
EP - 961
JO - Influenza and other Respiratory Viruses
JF - Influenza and other Respiratory Viruses
IS - 5
ER -