INTRODUCTION We aimed to calculate the Population Attributable Fraction (PAF) of cancers due to tobacco use in the Eastern Mediterranean Region (EMRO), where water-pipe smoking is prevalent but its effect was not considered in previous studies. METHODS We applied Levin's formula to estimate PAFs of cancers due to tobacco use (defined as all type tobacco including both cigarette and water-pipe). We also calculated PAF of water-pipe smoking separately. Exposure prevalence data was retrieved from representative national and subnational surveys. Data on cancers incidence and death were also and cancer cases were obtained GLOBOCAN 2020. We also obtained associated relative risks from published meta-analyses. RESULTS Of the total 715,658 incident adult cancer cases that were reported in 2020 in EMRO, 14.6% (n = 104,800) was attributable to tobacco smoking [26.9% (n = 92,753) in men vs. 3.3% (n = 12,048) in women. Further, 1.0% of incident adult cancers were attributable to current water-pipe use (n = 6,825) (1.7% (n = 5,568) in men vs. 0.4% (n = 1,257 in women). CONCLUSION PAFs of cancers due to tobacco smoking in EMRO was higher in our study than previous reports. This could be due to the neglected role of water-pipe in previous studies that is a common tobacco smoking method in EMRO. The proportion of cancers attributable to water-pipe smoking in EMRO might be underestimated due to lack of research on the risk of cancers associated with water-pipe smoking and also less developed cancer registries in EMRO. IMPLICATION In this study, we found higher population attributable fractions (PAFs) for cancers due to tobacco smoking in the Eastern Mediterranean (EMR) region than previous reports. This difference could be due to ignoring the role of water-pipe smoking in previous studies. In 2020, 1% of incident cancers and 1.3% of cancer-related deaths in EMRO were attributable to water-pipe smoking. We also found a big difference in PAFs of cancers due to tobacco and water-pipe smoking across EMRO countries, with Tunisia, Lebanon, and Jordan having the highest, and Djibouti, Sudan and Somalia having the lowest proportions of cancers attributable to tobacco and water-pipe smoking.
Background COVID-19 presents as a mild and less severe respiratory disease among children. However, it is still lethal and could lead to death in paediatric cases. The current study aimed to investigate the clinical characteristics of children and young people hospitalized due to COVID-19 in Qazvin-Iran. We also investigated the risk factors of death due to COVID-19 in paediatric cases. Methods We performed a retrospective cohort study on 645 children and young people (ages 0-17) hospitalized since the beginning of the COVID-19 pandemic. The cases were confirmed with positive results of reverse transcription-polymerase chain reaction (RT-PCR). The data were retrieved from an electronic database of demographic, epidemiological, and clinical characteristics. Results The median age of the admitted patients was 4.0 years, 33.6% were under 12 months old, and 53.0% were female. Fever, cough, nausea/vomiting, dyspnoea, and myalgia were the most common symptoms presented by 50.5%, 47.6%, 24.2%, and 23.0% of the patients, respectively. Overall, we observed 16 cases of death and the in-hospital fatality rate was 2.5%. We also found comorbidity as an independent risk factor of death (odds ratio (OR) = 3.8, 95% confidence interval (CI) = 1.2-12.1, P -value = 0.022). Finally, we observed an increased risk of death in patients with dyspnoea (OR = 11.0, 95% CI = 2.8-43.7). Conclusion In-hospital mortality was relatively high in paediatric patients who were hospitalized due to COVID-19 in Iran. The risk of hospitalization, ICU admission, and death was higher among children with younger ages, underlying causes, and dyspnoea.
This study aimed to investigate the relationship between socioeconomic status and COVID‐19 mortality in Iran. We performed a retrospective cohort study on data from the hospitalised COVID‐19 patients in Qazvin. We collected data on education, self‐reported socioeconomic status, and location of residence as a proxy for socioeconomic status (SES). We applied the Blinder‐Oaxaca decomposition approach to assess the role of socioeconomic inequality in COVID‐19 mortality and determine the main contributors to the observed inequality. Overall, 941 patients (48.96%) had low SES, while only 24.87% ( n = 478) were classified in the high SES category. The mortality rate was significantly higher in the low SES group, and we spotted a 17.13% gap in COVID‐19 mortality between the high and low SES patients ( p < 0.001). Age was the main contributor to the observed inequality, responsible for 6.91% of the gap ( p < 0.001). Having co‐morbidities (1.53%) and longer length of stay (LOS) in hospitals (0.95%) in the low SES group were other main determinants of the inequality in COVID‐19 mortality ( p < 0.05). In the unexplained part of our model, the effect of increased age (10.61%) and a positive RT‐PCR test result (3.43%) were more substantial in the low SES group compared to the high SES patients ( p < 0.05). The low SES people had an increased risk of getting COVID‐19, and the disease has been more severe and fatal among them. Increased age, co‐morbidities, and LOS were identified as the main drivers of this inequality.
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