Your browser doesn't support javascript.
Behavioral factors associated with SARS-CoV-2 infection in Japan.
Arashiro, Takeshi; Arima, Yuzo; Muraoka, Hirokazu; Sato, Akihiro; Oba, Kunihiro; Uehara, Yuki; Arioka, Hiroko; Yanai, Hideki; Yanagisawa, Naoki; Nagura, Yoshito; Kato, Yasuyuki; Kato, Hideaki; Ueda, Akihiro; Ishii, Koji; Ooki, Takao; Oka, Hideaki; Nishida, Yusuke; Stucky, Ashley; Miyahara, Reiko; Smith, Chris; Hibberd, Martin; Ariyoshi, Koya; Suzuki, Motoi.
  • Arashiro T; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
  • Arima Y; Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan.
  • Muraoka H; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Sato A; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
  • Oba K; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
  • Uehara Y; CLINIC FOR Tamachi, Tokyo, Japan.
  • Arioka H; KARADA Internal Medicine Clinic, Tokyo, Japan.
  • Yanai H; Department of Pediatrics, Showa General Hospital, Tokyo, Japan.
  • Yanagisawa N; Department of Clinical Laboratory, St. Luke's International Hospital, Tokyo, Japan.
  • Nagura Y; Department of General Internal Medicine, St. Luke's International Hospital, Tokyo, Japan.
  • Kato Y; Department of Clinical Laboratory, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Kiyose, Japan.
  • Kato H; Yanagisawa Clinic, Tokyo, Japan.
  • Ueda A; Shinjuku Home Clinic, Tokyo, Japan.
  • Ishii K; Department of Infectious Diseases, Graduate School of Medicine, International University of Health and Welfare, Chiba, Japan.
  • Ooki T; Infection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Japan.
  • Oka H; Department of Infectious Diseases, Japanese Red Cross Medical Center, Tokyo, Japan.
  • Nishida Y; Saitama Sekishinkai Hospital, Saitama, Japan.
  • Stucky A; Saitama Sekishinkai Hospital, Saitama, Japan.
  • Miyahara R; Department of General Internal Medicine and Infectious Diseases, Saitama Medical Center, Saitama, Japan.
  • Smith C; Department of General Internal Medicine and Infectious Diseases, Saitama Medical Center, Saitama, Japan.
  • Hibberd M; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
  • Ariyoshi K; Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
  • Suzuki M; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Influenza Other Respir Viruses ; 16(5): 952-961, 2022 09.
Article in English | MEDLINE | ID: covidwho-1807133
ABSTRACT

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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: Influenza Other Respir Viruses Journal subject: Virology Year: 2022 Document Type: Article Affiliation country: Irv.12992

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: Influenza Other Respir Viruses Journal subject: Virology Year: 2022 Document Type: Article Affiliation country: Irv.12992