Mojgan Firouzbakht1, Shabnam Omidvar2, Saeedeh Firouzbakht3, Arman Asadi-Amoli4. 1. Department of nursing- midwifery, Comprehensive Health Research Center, Islamic Azad University Babol Branch, Babol, Iran. 2. Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran. shomidvar@yahoo.com. 3. Bushehr University of Medical Sciences, Bushehr, Iran. 4. Student of research committee, Babol University of Medical Sciences, Babol, Iran.
Abstract
BACKGROUND: COVID19 is a respiratory disease caused by a novel coronavirus. As there has been no definitive treatment for the disease so far, the only way to control the spread is to break the chain of infection. Our study aimed to analyze the preventive behaviors and influencing factors in the Iranian population. METHODS: This cross-sectional study was a web-based survey in the Iranian population. We performed the study during the first peak of COVID-19 outbreak (from March 25th, 2020 to April 5th). We used demographic and Preventive behaviors questionnaires to collect the data. This web-based survey was publicized on the internet through the common platforms used by the Iranian population. This survey was released on the website " Porsline.com ". A total of 2097 acceptable questionnaires were filled. All data were analyzed, using Statistical Package for Social Sciences (SPSS) version 19. RESULTS: 61.9% of the participants checked the hand-washing question as "Always". 55.7 and 58.2% checked the wearing masks and gloves as "Always", respectively. We found a significant relationship between gender and hand washing behavior (P = 0.006) and the use of masks and gloves (P < 0.001). Results showed that wearing gloves had a significant relation with the education status (P = 0.029) and economic status (P = 0.011). Wearing masks had a significant relation with economic status (P = 0.032). Overall women had better preventive behaviors. CONCLUSIONS: Preventive behaviors have a significant relation with some socio-demographic characteristics. According to the 3 main preventive behaviors of hand-washing, wearing masks and gloves 50% of the population has not taken these behaviors seriously.
BACKGROUND:COVID19 is a respiratory disease caused by a novel coronavirus. As there has been no definitive treatment for the disease so far, the only way to control the spread is to break the chain of infection. Our study aimed to analyze the preventive behaviors and influencing factors in the Iranian population. METHODS: This cross-sectional study was a web-based survey in the Iranian population. We performed the study during the first peak of COVID-19 outbreak (from March 25th, 2020 to April 5th). We used demographic and Preventive behaviors questionnaires to collect the data. This web-based survey was publicized on the internet through the common platforms used by the Iranian population. This survey was released on the website " Porsline.com ". A total of 2097 acceptable questionnaires were filled. All data were analyzed, using Statistical Package for Social Sciences (SPSS) version 19. RESULTS: 61.9% of the participants checked the hand-washing question as "Always". 55.7 and 58.2% checked the wearing masks and gloves as "Always", respectively. We found a significant relationship between gender and hand washing behavior (P = 0.006) and the use of masks and gloves (P < 0.001). Results showed that wearing gloves had a significant relation with the education status (P = 0.029) and economic status (P = 0.011). Wearing masks had a significant relation with economic status (P = 0.032). Overall women had better preventive behaviors. CONCLUSIONS: Preventive behaviors have a significant relation with some socio-demographic characteristics. According to the 3 main preventive behaviors of hand-washing, wearing masks and gloves 50% of the population has not taken these behaviors seriously.
Authors: Michael S Wolf; Marina Serper; Lauren Opsasnick; Rachel M O'Conor; Laura Curtis; Julia Yoshino Benavente; Guisselle Wismer; Stephanie Batio; Morgan Eifler; Pauline Zheng; Andrea Russell; Marina Arvanitis; Daniela Ladner; Mary Kwasny; Stephen D Persell; Theresa Rowe; Jeffrey A Linder; Stacy C Bailey Journal: Ann Intern Med Date: 2020-04-09 Impact factor: 25.391
Authors: María Carrillo-Díaz; Laura Lacomba-Trejo; Martín Romero-Maroto; María José González-Olmo Journal: Int J Environ Res Public Health Date: 2021-06-29 Impact factor: 3.390