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Few studies have addressed the validity of self-reports of substance use in Iran. This study was conducted to evaluate concordance between self-reported data on drug use and urinalysis results in an adult population in Mashhad as the second most populous city in Iran. This population-based study recruited 2142 Mashhad residents aged over 16 years. The data were obtained from a study conducted in 2015 on the prevalence of chronic kidney disease (CKD) in an adult population in Mashhad. The participants were selected using multistage stratified cluster sampling. To evaluate the validity, the participants' responses to a single-question screening test of drug use were compared with their urinalysis results. The sensitivity, specificity, and positive and negative predictive values of the self-reports were also assessed. The prevalence of drug use was found to be 2.33% (95% CI: 1.75–3.09) based on the self-reported data and 17.74% (95% CI: 16.15–19.43) based on the urinalysis results. Opioids were the most prevalent form of drug used and the self-reports indicated low validity (sensitivity = 12.63%, 95% CI: 9.54–16.49). The women were found more predisposed than the men to misreporting their drug use. In line with other studies in Iran, the validity of the self-reports of drug use was found to be low. Policymakers should therefore avoid relying only on self-reported data to evaluate the effectiveness of interventions and preventive strategies. It is recommended that further in-depth studies be conducted to address the factors affecting the validity of self-reports in Iranian populations. [ABSTRACT FROM AUTHOR]

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.