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Introduction: Metabolic risk factors significantly elevate the risk of cardiovascular diseases (CVDs) and are recognized as one of the primary contributors to these conditions. This study explored the trends and percentage changes in disability-adjusted life years (DALYs) attributable to metabolic risk factors for CVD from 1990 to 2019. Methods: Data from the Global Burden of Disease study was utilized to depict changes across metabolic risk factors by sociodemographic indices and sex groups. The Mann-Kendall test was employed to ascertain the significance of these trends. Results: The findings indicate that the DALY percentage change over these years was more pronounced in low-middle and middle Socio-demographic Index (SDI) countries than in others. The most substantial percentage increase, approximately 60%, was observed in regions with low SDI, attributed to high body mass index (BMI). On average, the greatest DALYs were associated with high systolic blood pressure (SBP). Moreover, the trend for high low-density lipoprotein cholesterol and high SBP declined in countries with high SDI. Conclusions: It can be concluded that to mitigate the global mortality and morbidity from heart diseases, there needs to be a focused emphasis on managing metabolic risk factors, particularly in low-Middle and middle SDI countries.
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BACKGROUND: Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran. METHODS: Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14. RESULTS: A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124). CONCLUSIONS: Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.
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Diabetes Mellitus Tipo 2 , Femenino , Humanos , Masculino , Glucemia/análisis , Diabetes Mellitus Tipo 2/epidemiología , Diabetes Mellitus Tipo 2/terapia , Hemoglobina Glucada , Irán/epidemiología , Factores Socioeconómicos , Persona de Mediana Edad , AncianoRESUMEN
Purpose: The prevalence of overweight/obesity and abdominal obesity is increasing worldwide, accompanied by an increase in the incidence of non-communicable diseases. This study aims to determine the trends of Body Mass Index (BMI) and prevalence of overweight/obesity and abdominal obesity changes in Iranian adult population from 2004 to 2021. Methods: We conducted this study based on the eight national surveys of noncommunicable disease risk factor surveillance (STEPS) from 2004 to 2021 in Iran. We estimated the crude and standardized mean of BMI and prevalence of general and abdominal obesity in these eight STEPS surveys data. Data weighted using post-stratification method and the trends depicted based on the standardized estimates. Results: Between 2004 and 2021, and based on the standardized estimates, the mean of BMI increased from 25.19 kg/m2 in 2004 to 26.63 kg/m2 in 2021 (P-value for trend = 0.03). The standardized mean of WC increased from 86.38 cm in 2004 to 91.65 cm in 2021 (P-value for trend = 0.38). The standardized prevalence of obesity (class I and II) increased from 14.54% in 2004 to 20.17% in 2021 (P-value for trend = 0.01). The standardized prevalence of obesity class III increased from 0.82% in 2004 to 1.35% in 2021 (P-value for trend = 0.03). The standardized prevalence of abdominal obesity based on the national and international cut-points increased, but the trend was not statistically significant [(National cut-point: 27.53% in 2004 to 40.43% in 2021 (P-value for trend = 0.71)) (International cut-point: 27.58% in 2004 to 41.81% in 2021 (P-value for trend = 0.06))]. Conclusion: The standardized mean of BMI and prevalence of overweight/obesity and abdominal obesity increased among Iranian adults between 2004 and 2021. Because of the negative public and clinical health implications of obesity, health policymakers should develop comprehensive programs to control this increasing trend of weight gain.
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Cardiovascular diseases belong to the leading causes of disability and premature death worldwide, including in Iran. It is predicted that the burden of the disease in Iran in 2025 will be more than doubled compared to 2005. Therefore, many forecasting models have been used to predict disease progression, estimate mortality rates, and assess risk factors. Our study focused on two time series prediction on models: autoregressive integrated moving average with exogenous variable (ARIMAX) and Convolutional neural network-long short-term memory network (CNN-LSTM). ARIMAX (6,1,6) had the best MSE of 0.655 among time series regression models. The prediction of this model shows a significant association in lag 4 and lag 6. Nitrogen dioxide (NO2) was also significant in lag 6, while CNN-LSTM had a much better MSE of 0.21. For the time series analysis and forecasts studied in this paper, deep learning models provided more accurate results than classical methods such as ARIMAX.
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Redes Neurales de la Computación , Enfermedades Respiratorias , Predicción , Humanos , Irán , Factores de TiempoRESUMEN
Cutaneous leishmaniasis is an important parasitic and vector-borne disease in Iran and can be transmitted to humans and animals through bites of infected female sand flies. The present study aimed to determine the pooled prevalence of Leishmania major in sand flies in Iran. A systematic review and meta-analysis was performed in the present study, so that databases, namely PubMed, Web of Sciences, Science Direct, ProQuest, Embase, Cochrane Reviews, and Scopus as well as IranDoc, SID, Elmnet, and Magiran were searched for finding Persian articles. Inclusion criteria of study contained the study in Iran and investigation of L. major parasite in sand flies. The quality of studies was examined by Joanna Briggs Institute Critical Appraisal Checklist for studies that reported prevalence data; and the data were analyzed by Stata 14 software. In total, 42 studies were evaluated, all of which had investigated the infection of Phlebotomus papatasi Scopoli (Diptera: Psychodidae). The infection of Phlebotomus caucasicus group was investigated in 13 studies, Phlebotomus ansarii Lewis in four studies, Phlebotomus salehi Mesghali and Rashti in five studies, and the infection of other species of sandflies in seven studies. According to the meta-analysis, the pooled prevalence of Ph. papatasi, Ph. caucasicus group, Ph. salehi, and Ph. ansarii were equal to 2.4, 6.2, 1.6, and 9.2%, respectively, with 95% confidence interval. According to reports of different rates of sand fly infection in different regions, all studies should have certain and standard forms and formats to determine the pooled prevalence of sand fly infection.