The effect of social determinants of health on quality of life among Afghan refugees in Iran during the COVID-19 pandemic:a path analysis

BACKGROUND: The COVID-19 pandemic has created significant challenges in 2020 in the world and Iran. To help vulnerable groups such as refugees during the response and recovery phases of the COVID-19 pandemic, identifying the quality of life (QOL) and its associated factors is helpful. Considering that research in this field is limited, this study evaluated the effect of social determinants of health on the quality of life among Afghan refugees in Iran during the COVID-19 pandemic. METHODS: We conducted a cross-sectional study on 300 Afghan refugees and migrants in Alborz province, Iran, from February to May 2022 using Convenience sampling. Data were completed using the socioeconomic status scale (SES), World Health Organization's quality of life -BREF (WHOQOL), Depression, Anxiety and Stress Scale—21 Items (DASS-21), and COVID-19 Post-Traumatic Stress Disorder Checklist (COVID-PTSD). In addition, path analysis was applied to evaluate the relationships among the research variables with quality of life. RESULTS: 64.3% of the study participants were male, with a mean of 29.29 ± 9.64 years. The path analysis showed that SES had the most positive relationship (B = .266), and the number of COVID-19 cases had the most negative relationship (B = -.169) with the quality of life from both paths. The self-rated health had the most positive relationship (B = .25), and the DASS score had the most negative relationship (B = -.2) with the quality of life through only one path. Access to medical services was the only variable that indirectly had a positive causal relationship with QOL (B = .044). CONCLUSION: We provided an empirical model that illustrates the relationships between quality of life and social determinants of health among Afghan refugees and migrants during the Covid19 pandemic. The negative emotional states of Depression, Anxiety, and Stress (DAS) as a mediator play an essential role in the quality of life and other variables

The barriers to achieve financial protection in Iranian health system: a qualitative study in a developing country

Background: The move to universal health coverage and consequently health promotion is influenced by political, socio-economic and other contextual factors in a country. Iran, as a developing country with an upper-middle national income, has developed policies to achieve universal health coverage through financial protection. This study aims to investigate barriers to develop financial protection as a requirement to achieve universal health coverage.Materials and Methods: This qualitative study was conducted using 20 in-depth interviews with experts in social welfare, health insurance and financing. The framework analysis method was used to analyze the data.Results: The results have been categorized in three major themes that were extracted from ten sub-themes. The major themes included the political, social and economic context of the country, the context and structure of healthcare system and dimensions of UHC.Conclusion: Achieving financial protection as a long-term objective should be considered as a priority among Iranian policy makers that requires an inter-sectoral collaboration with a defined in-charge body. Health policy makers in Iran should develop a more comprehensive benefits package for diseases and health conditions with catastrophic consequences. They also should develop a plan to cover the poor people.Keywords: Universal Health Coverage, Financial Protection, Catastrophic Health Expenditures, Impoverishing Health Expenditure

Climate Change and Respiratory Diseases:Relationship between SARS and Climatic Parameters and Impact of Climate Change on the Geographical Distribution of SARS in Iran

Climate change affects human health, and severe acute respiratory syndrome (SARS) incidence is one of the health impacts of climate change. This study is a retrospective cohort study. Data have been collected from the Iranian Ministry of Health and Medical Education between 17 February 2016 and17 February 2018. The Neural Network Model has been used to predict SARS infection. Based on the results of the multivariate Poisson regression and the analysis of the coexistence of the variables, the minimum daily temperature was positively associated with the risk of SARS in men and women. The risk of SARS has increased in women and men with increasing daily rainfall. According to the result, by changes in bioclimatic parameters, the number of SARS patients will be increased in cities of Iran. Our study has shown a significant relationship between SARS and the climatic variables by the type of climate and gender. The estimates suggest that hospital admissions for climate-related respiratory diseases in Iran will increase by 36% from 2020 to 2050. This study demonstrates one of the health impacts of climate change. Policymakers can control the risks of climate change by mitigation and adaptation strategists

The Relationship Between Knee Moments and Function with Western Ontario and McMaster Universities in Moderate Knee Osteoarthritis

Introduction: The knee is the most affected weight-bearing joint by osteoarthritis. The kinetics parameters are correlated with the progression of knee osteoarthritis (KOA). This study was done to investigate the relationship between kinetics parameters and functional tests with Western Ontario and McMaster Universities osteoarthritis index (WOMAC) scores in people with moderate KOA. Materials and Methods: Twenty- three participants with moderate KOA participated in this study. Gait analysis involved the measurement of the external peak knee adduction moment (PKAM), peak knee flexion moment (PKFM), knee adduction moment impulse (KAM impulse), and knee flexion moment impulse (KFM impulse) during level walking. Functional tests included timed up and go (TUG) and figure of eight walkings (FO8W) tests. Pearson’s correlation coefficient was used to investigate the correlation between kinetics parameters and functional test scores with WOMAC total scores and sub-scores. Results: There was a significant inverse correlation between the first PKAM and WOMAC total score and pain sub-score (r=-0.43 P=0.03 and r=-0.6 P=0.002, respectively). Also, there was a significant inverse correlation between the second PKAM and pain sub-score (r=-0.46 P=0.02). There was no significant correlation between functional tests and WOMAC scores. Conclusion: The low score of the WOMAC in the moderate KOA should not be attributed to the low level of joint knee moments

Lifetime alcohol‐use prevalence and correlated factors among street children in Iran

Abstract Background Several studies on street children in Iran reported a high prevalence of alcohol consumption among this group. This study assessed the prevalence of lifetime alcohol use and correlated factors among street children in Iran. Methods We conducted a cross‐sectional survey among 856 street children from six provinces of Iran. Behavioral data were collected by trained interviewers using a structured questionnaire. Our target outcome was lifetime alcohol use. We examined associations between individual variables and lifetime alcohol use using the chi‐square. A multiple logistic regression model included variables with a p‐value < .2. Lastly, we reported the adjusted odds ratio (an OR) point estimate and 95% confidence interval (95% CI) as the effect measure. Results Mean age and standard deviation (SD) of alcohol drinkers were 14.94 ± 2.16. Overall, 16.6% (CI95%: 14.38%, 19.55%) of participants reported lifetime alcohol use, and almost 60% of children reported alcohol use over three past months. In the final model, factors that were independently associated with alcohol use included the 15–18 age range (AOR 2.35, 95% CI 1.48−3.73), Iranian nationality (AOR 3.36, 95% CI 2.07−5.45), working longer than 5 years in the streets (AOR 2.90, 95% CI 1.72−4.88), father's drug use (AOR 1.93, 95% CI 1.22−3.01), and illiteracy (AOR 1.65, 95% CI 1.03−2.66). Conclusions The results of the present study demonstrated that preventive plans for alcohol use among street children must be addressed using the services provided by governmental and nongovernmental organizations

Clinical and Socio-Demographic Variables Associated With Long COVID-19:A Cross-Sectional Study

Considering the importance of long COVID-19 (LC), this study aimed to investigate the relationship between clinical/sociodemographic factors and LC symptoms (LCS). This online cross-sectional study was conducted on 308 people infected with COVID-19 in Alborz, Iran, from April 1 to June 1, 2022. Multivariable logistic regression models were applied to measure the association between the LCS with other variables. Overall, 76.6% of participants had at least one LCS. Results from the multivariate logistic regression analysis showed that females (crude odds ratio [OR] [95% confidence interval (CI)]: 2.725 [1.42, 5.22]), educated persons (3.747 [1.58, 8.84]), people with a higher number of COVID-19 reinfection (2.280 [1.30, 3.97]), having an underlying disease (1.996 [1.01, 3.93]), and COVID-19 severity (3.321 [1.037, 10.635]) had higher odds of LC than others (all p &lt; .05). Study findings provide additional clinical/sociodemographic data on risk for LC. These data may inform future research and clinical practice for potential risk identification and early intervention.<br/

Liver disease symptoms in non-alcoholic fatty liver disease and small intestinal bacterial overgrowth

Introduction. It seems that there is a relationship between small intestinal bacterial overgrowth (SIBO) and non-alcoholic fatty liver disease (NAFLD). The main objective of this study was to evaluate the prevalence of SIBO among NAFLD patients