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Background. Obesity has become a significant public health issue worldwide, and it is a major risk factor for many noncommunicable diseases. This systematic review aimed to identify the prevalence of obesity and overweight in the Middle East region and different countries in this region. Materials and Methods. PubMed, Google Scholar, and MEDLINE databases were searched from 2000–2020 to identify relevant studies in the Middle East area. The survey was carried out using combinations of Medical Subject Headings (Mesh) keywords like "body mass index", "obesity", "overweight", "prevalence", "Middle-East", and "Countries in the Middle East area". Analysis of the data was done using STATA-14, and a random-effects model was used to estimate the pooled prevalence. Results. A total of 101 studies with 698905 participants have been identified that met inclusion criteria for this meta-analysis. The pooled estimates of the prevalence of obesity and overweight in the Middle East area were 21.17 (95% CI: 17.05–26.29) and 33.14 (95% CI: 26.87–40.87), respectively. The findings showed that obesity prevalence increased with age so that the highest prevalence of obesity and overweight was observed in people >40 years old. Obesity prevalence in the Middle East area remained steady between 2000–2006 and 2014–2020 (23%). During these time intervals, the prevalence of overweight decreased from 34.83 (95% CI: 32.40–37.45) to 32.85 (95% CI: 31.39–34.38). Conclusions. Despite the relative stabilization of the overweight and obesity trend in the Middle East, current interventions to combat the overweight epidemic need to be maintained and strengthened because the prevalence of overweight and obesity in this region is still very high. The prevalence of obesity increases with age so that people over 40 have the highest percentage of obesity and overweight. Therefore, implementing intervention programs to prevent and control obesity and overweight in the Middle East is essential. [ABSTRACT FROM AUTHOR]

Preliminary evidence points to higher morbidity and mortality from coronavirus disease 2019 (COVID-19) in certain racial and ethnic groups, but population-based studies using microlevel data are lacking so far. We used register-based cohort data including all adults living in Stockholm, Sweden, between January 31, 2020 (the date of the first confirmed case of COVID-19) and May 4, 2020 (n  = 1,778,670) to conduct Poisson regression analyses with region/country of birth as the exposure and underlying cause of COVID-19 death as the outcome, estimating relative risks and 95% confidence intervals. Migrants from Middle Eastern countries (relative risk (RR) = 3.2, 95% confidence interval (CI): 2.6, 3.8), Africa (RR = 3.0, 95% CI: 2.2, 4.3), and non-Sweden Nordic countries (RR = 1.5, 95% CI: 1.2, 1.8) had higher mortality from COVID-19 than persons born in Sweden. Especially high mortality risks from COVID-19 were found among persons born in Somalia, Lebanon, Syria, Turkey, Iran, and Iraq. Socioeconomic status, number of working-age household members, and neighborhood population density attenuated up to half of the increased COVID-19 mortality risks among the foreign-born. Disadvantaged socioeconomic and living conditions may increase infection rates in migrants and contribute to their higher risk of COVID-19 mortality. [ABSTRACT FROM AUTHOR]

Background: Population health and disease profiles are diverse across Iran's neighboring countries. Borrowing the results of the country-level Global Burden of Diseases, Injuries, and Risk Factors 2010 Study (GBD 2010), we aim to compare Iran with 19 countries in terms of an important set of population health and disease metrics. These countries include those neighboring Iran and a few other countries from the Middle East and North Africa (MENA) region. Methods: We show the pattern of health transition across the comparator countries from 1990 through 2010. We use classic GBD metrics measured for the year 2010 to indicate the rank of Iran among these nations. The metrics include disability-adjusted life years (DALYs), years of life lost as a result of premature death (YLLs), years of life lost due to disability (YLDs), health-adjusted life expectancy (HALE), and age-standardized death rate (ASD). Results: Considerable and uniform transition from communicable, maternal, neonatal, and nutritional (CMMN) conditions to non-communicable diseases (NCDs) was seen between 1990 and 2010. On average, ischemic heart disease, lower respiratory infections, and road injuries were the three principal causes of YLLs, while low back pain and major depressive disorders were the top causes of YLDs in these countries. Iran ranked 13th in HALE and 12th in ASD. The function of Iran's health care, measured by DALYs, was somewhat in the middle of the HALE spectrum for the comparator countries. This intermediate position becomes rather highlighted when Afghanistan, as outlier, is taken out of the comparison. Conclusion: Effective policies to reduce NCDs need to be formulated and implemented through an integrated health care system. Our comparison shows that Iran can learn from the experience of a number of these countries to devise and execute the required strategies. [ABSTRACT FROM AUTHOR]

Objective. Several studies indicate that ethnicity may be a strong predictor of poor self-rated health (SRH). The aims of the present study were to investigate whether there was an association between ethnicity and poor SRH in subjects with type 2 diabetes and to determine if the association remained after adjusting for possible confounders such as age, gender employment, marital status, and education. Design. A cross-sectional study based on a patient population in the town of Södertälje. An unconditional logistic regression was performed to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs). Setting. Four primary health care centers. Subjects. A total of 354 individuals were included: Assyrian/Syrian-born (n = 173) and Swedish-born (n = 181). Results. The odds ratio for rating poor SRH for Assyrian/Syrian subjects with type 2 diabetes was 4.5 times higher (95% CI = 2.7-7.5) than for Swedish patients in a crude model. After adjusting for possible confounders, unemployed/retired people had 5.4 times higher odds for reporting poor SRH than employees (OR = 5.4; 95% CI = 2.3-12.5). Women had 1.8 times higher odds (95% CI = 1.0-3.0) for reporting poor SRH than men. In the final model poor SRH among Assyrians/Syrians decreased but still remained significant (OR=3.7; 95% CI = 2.5-6.6). Conclusions. The findings in this study are important for planning primary health care services. They highlight the crucial importance of being aware of the subjective health status of immigrants fleeing from war in the Middle East and resettling in Sweden. [ABSTRACT FROM AUTHOR]