Adherence to coronavirus disease 2019 (COVID-19) preventive guidelines (ACPG) is an important strategy to control the COVID-19 pandemic effectively. The present study aimed to identify and summarize the social determinants of ACPG among the general population. A comprehensive review was performed from December 2019 to February 2021 through searching electronic databases. Two independent reviewers assessed and selected relevant studies. Next, the characteristics and main findings of the included studies were summarized. Finally, the World Health Organization’s conceptual framework of social determinants of health was used to synthesize the identified social determinants of ACPG. Forty-one of 453 retrieved articles met the inclusion criteria. The study results showed different patterns of ACPG among various communities. Furthermore, 84 social determinants were identified and categorized into structural and intermediary determinants. ACPG is a set of complex behaviors associated with different individual sociodemographic and behavioral characteristics; living and working conditions; COVID-19 knowledge, attitudes, and risk perceptions; exposure to sources and information level; leisure activities; social support; trust; social norms; psychosocial well-being; socio-economic position; and the socio-economic and political context. Interventions to promote ACPG among the general population should consider the identified social determinants of ACPG.
Introduction Adherence to COVID-19 preventative guidelines may be influenced by a variety of factors at the individual, societal, and institutional levels. The current study sought to investigate the social factors of adherence to those preventive measures from the perspective of health professionals. Methods In October 2020, we performed qualitative research in Tehran, Iran, using the directed content analysis method. For the preparation of our interview guide and data analysis, we employed the WHO conceptual framework of socioeconomic determinants of health. Semi-structured interviews were conducted with 15 health professionals and policymakers who were chosen using a purposive sampling approach. MAXQDA-18 software was used to analyze the data. The Goba and Lincoln criteria were used to assess the quality of the results. Results There are 23 subcategories and 9 categories, which include socio-economic and political context (unstable macroeconomic environment, poor management of the pandemic, media and knowledge transfer), cultural and social values (fatalism, cultural norms, value conflicts, social customs), socio-economic positions (livelihood conditions), social capital (social cohesion, low trust), living conditions (housing conditions), occupational conditions (precarious employment), individual characteristics (demographic characteristics, personality traits, COVID-19 knowledge, and attitude), psycho-social factors (normalization of the disease, social pressure, and stigma), and health system leadership (health system problems, not taking evidence-based decisions, non-comprehensive preventive guidelines, non-operational guidelines, inadequate executive committee) were obtained. Conclusion To limit the new COVID-19 transmission, people must be encouraged to follow COVID-19 prevention instructions. Improving adherence to COVID-19 preventive guidelines necessitates dealing with the complexities of responding to social determinants of those guidelines. Increasing public health literacy and knowledge of COVID-19, informing people about the consequences of social interactions and cultural customs in the spread of COVID-19, strengthening regulatory lockdown laws, improving guarantees for adhering to preventive guidelines, providing easy access to preventive supplies, and strengthening financial support for households with precarious employment are all important.
Objectives: This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.Methods: This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8.Results: The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r=0.320, p<0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (β=−0.482), risk perception (β=0.047), and risk communication (β=0.662) were significant determinants.Conclusion: Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.
Background and Aims The COVID‐19 pandemic has caused new conditions such as nationwide quarantine, a dramatic decrease in‐person interaction and an increase in death anxiety for governments and people. The pandemic of an unpredictable disease with no definite treatment can pose physical and psychological risks to individuals. The present study aimed to investigate the state of anxiety, coping styles, and hopelessness of people in the lockdown period and reopening in Iran. Methods In this national population‐based cross‐sectional study, a total of 1191 people who had access to social networks from all over Iran completed the anxiety, hopelessness, and coping style questionnaires online using the snowball sampling method. Analysis was conducted using Stata software version 12 (Stat Corp). The significance level was set at 0.05. Results The results of the study suggested that women experienced higher levels of anxiety than men, and, in stressful situations, women were more likely to use emotion‐focused coping styles, while men frequently used problem‐focused coping styles. The majority of participants reported moderate levels of anxiety and low levels of hopelessness (64.04%). The results of multiple linear regression show any level of anxiety mild ( ß = 0.59, 95% confidence interval [CI]: 0.32–0.85), moderate ( ß = 0.72, 95% CI: 1.36–1.08), and severe ( ß = 2, 95% CI: 1.36–2.56) relative to the none anxiety significantly increase the hopelessness, Furthermore, showing a negative significant adjusted association with the problem‐focused coping style ( ß = −0.06, 95% CI: −0.07 to −0.04), and a significant positive association with the emotion‐focused coping style ( ß = 0.04, 95% CI: 0.02–0.06). Conclusion Our findings could be used to prevent psychological damage in societies and suggested addressing problem‐focused coping style, especially during a crisis, and providing people with preprepared mental health protocols at this pandemic.
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