Your browser doesn't support javascript.
Predictors of Self-Reported Compliance with COVID-19 Preventive Guidelines: A Quantile Regression Model.
Khoramrooz, Maryam; Aliyari, Roqayeh; Mirhosseini, Seyedmohammad; Daliri, Salman; Mirrezaie, Seyed Mohammad.
  • Khoramrooz M; Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Aliyari R; Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Mirhosseini S; Department of Nursing, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud. Iran.
  • Daliri S; Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Mirrezaie SM; Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.
Soc Work Public Health ; 37(7): 643-654, 2022 10 03.
Article in English | MEDLINE | ID: covidwho-1815897
ABSTRACT
The research used an online, convenience cross-sectional sample of adults aged ≥18 years old recruited from Shahroud County, Northeast of Iran. We measured the contribution of multiple determinants for association with behavioral compliance, at the time of the COVID-19 pandemic. The compliance score measured with this questionnaire can be within a range of 5 and 100. Compliance was bounded between 19 and 80 that has been distributed J-shape, so quantile logistic regression model has been fitted for that. Variables related to people's knowledge, including self-reported knowledge and following the news related to COVID-19, were the two main factors that accompanied behavioral compliance at all of its levels in the period of pandemic.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Humans Language: English Journal: Soc Work Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: 19371918.2022.2071372

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Humans Language: English Journal: Soc Work Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: 19371918.2022.2071372