جستجوی مقالات مرتبط با کلیدواژه « mask wearing » در نشریات گروه « پزشکی »

Understanding the relationship between religiosity and health behaviors helps us to tailor messages based on cultural beliefs. We conducted an online survey to find any relationship between fatalistic beliefs, religiosity, and mask-wearing in an Islamic context. The participants consisted of 503 subjects from the adult population of Kerman Province located in the Southeast of Iran. The measurement tool consisted of four sections; (A) demographic characteristics, (B) three items related to mask-wearing, (C) The God Locus of Health Control (G LHC) scale consisting of six items measuring fatalistic beliefs, (D) The Duke University Religion Index (DUREL) consisting of five items measuring religiosity. The mean age of the participants was 36.5 ± 10.9 years, and females consisted 60% (n=302) of the sample. More than one-fifth (n=109) reported a history of COVID-19 infection. Approximately one-third of respondents (n=163) reported full mask adherence. Logistic regression model showed that there was no significant relationship between mask adherence and religiosity (odds ratio: 1.03; 95% confidence interval (CI): 0.99-1.08) and fatalistic beliefs (OR:1.01; 95% CI: 0.98-1.04 ).We found no association of fatalism and religiosity with the mask-wearing during COVID-19 in the Iranian Muslim population. So we can conclude that religious beliefs may have no place in cultural tailoring of health messages for promoting mask adherence.

Based on WHO, mask wearing may prevent coronavirus disease 2019 (COVID-19) transmission. The aim of the present study was to investigate the prevalence of mask wearing and its related factors in Zahedan, southeastern Iran.

This cross-sectional study was carried out to investigate mask wearing in 408 children aged 2 to 18 years who were referred to specialized pediatric clinics at Zahedan University of Medical Sciences in Zahedan, Iran. The study ran in 2021-2022, and participants or their parents were asked about age, gender, number of children in the family, father's and mother's occupation, father's and mother's education, and family socioeconomic status. The SPSS 20 with a significance level of 0.05 was used to analyze the data.

The rate of mask wearing was 61.52%. Of the children who adhered to wearing masks, 57.77 % wore three layers, 94.42% wore well-fitting masks, and 65.34 % changed their masks at least three times per day. About 53.50% of the parents of the children who refused to wear masks did not believe in this behavior, and the others had economic problems. Mask-wearing was significantly influenced by all socio-demographic factors (p< 0.001).

It was found that 62% of the children wore masks. The majority of children who adhered to wearing masks used three layers, were adapted and changed masks at least three times per day. The majority of those who refused to wear masks did not believe in this treatment. Socio-demographic factors had a significant impact on mask wearing.

The nature and extent of changing adherence to COVID-19 preventive health measures are different in various populations.

The aim of this study was to investigate the intention of changing adherence to COVID-19 preventive health measures (ICA-COVID-19–PHM) after implementation of the COVID-19 vaccination program compared to when they had not received the vaccine.

This cross-sectional study was conducted on 1000 participants in the 18 to 60-year-old group population (Mazandaran Province, Iran). The data were collected by an anonymous online “Google Form” questionnaire. The Pearson correlation coefficient, intra-class correlation coefficient (ICC), and paired t-test were used to evaluate the intention of changing adherence to COVID-19 preventive measures.

The correlation coefficient ranged from 0.58 for non-travel to 0.76 for personal hygiene. ICC ranged from 0.68 for non-traveling to 0.86 for personal hygiene and hand/face washing. The results of the paired t-test showed that there was a significant difference between the adherence at the present time and the intention to adhere to preventive protocols after receiving the vaccine.

The intention of changing adherence to preventive health measures, such as avoiding travel and crowded places and mask-wearing, had the most reduction.