بهناز بیگی

Cutaneous leishmaniasis is one of the most critical common parasitic diseases between humans and animals, which has always been of interest due to its high infection rate and the creation of malformed skin lesions. This research was conducted to investigate the epidemiological characteristics of the disease in the cities covered by the Mashhad University of Medical Sciences during the years 2016-2022. In this Cross-sectional study, the background and epidemiological information of all patients diagnosed with cutaneous leishmaniasis from the beginning of April 2016 to the end of March 2022 were followed up and tre. Their report was obtained from the electronic health record system. Sina SinaEHR® was extracted from the population covered by the Mashhad University of Medical Sciences and analyzed by SPSS-26 and ArcMap software. The results showed that out of 7433 cases of cutaneous leishmaniasis in the cities covered by the Mashhad University of Medical Sciences, 3767 (50.7%) were men and 3666 (49.3%) were women (P=0.11(. The average incidence of the disease was 24.8 per 100 thousand people. The highest incidence rate of the disease is related to Binalud City, with an average incidence of 208.6 per 100,000 people. The lowest associated rate is linked to Bakharz City, with an average incidence rate of 2.3 per  100,000 people. The highest frequency was in the age group of 10-19 years (19.8%), and the lowest frequency was 50-59 years (10.3%). 50% of the lesions were on the hands (P<0.001(. Most cases of the disease occurred in the fall. 64.9% of patients did not mention a history of traveling to the endemic areas of the disease. 72.2% of the people with the disease were urban type (P<0.001). Due to the high prevalence of urban-type leishmaniasis, justification of the health forces regarding active disease detection in high-risk areas, complete treatment of infected people, and education to patients and their relatives about covering the wound and collecting stray dogs are basic measures.

Cardiovascular disease is the leading cause of death in the world. The 10-year risk assessment of this illness is an essential step in managing future illness. This study aimed to compare Framingham Risk Score and Globorisk cardiovascular disease prediction models in the next ten years.

A descriptive cross-sectional study was performed using Mashhad's Electronic Health Record data with total cholesterol, high-density lipoprotein, smoking, blood pressure, and diabetes. The study population was people aged 30 years and older, with a sample of 161,828 people. T-test and chi-square tests were used to determine the relationship of dependence between the variables, and P-value less than 0.05 was considered.

The participants included 74.1% females. According to the Globorisk model, 67.2% of females and 79.9% of males were in the low-risk group, while in the Framingham model, this rate was 48.5% and 54.9%, respectively, in females and males. According to the Globorisk and Framingham model, 66.2% and 34.1% of people 70 years and older were high-risk. Both models also showed that people with diabetes and smokers are at higher risk for cardiovascular disease in the next ten years.

Considering the increased cardiovascular risk, it is necessary to use the capabilities of these models to assess the risk of disease in the next ten years and take measures to improve the community's general health and prevent cardiovascular events.

Iron deficiency anemia Has been raised due to high prevalence and adverse effects as one of the main problems of public health in pregnancy. The aim of this study was to investigate the relationship between maternal iron deficiency anemia and its effect on birth weight in a population covered by Mashhad University of Medical Sciences in 2018.

In this descriptive-analytic research, information on the birth of newborns was extracted from the Sina Electronic Health Record System. In this study, pregnant mothers were divided into two groups: anemia and non-anemia, 4 groups: moderate to severe, mild, normal and high hemoglobin, and 9 groups with 10 g/L interval from severe anemia to high hemoglobin. Data analysis was performed using statistical software STATA 14 and descriptive statistics, t test and logistic regression. The significance level in this study was considered 0.05.

Result of this study showed Low concentration of Hemoglobin was associated with higher odds of Low Birth Weight (OR:1.19 P:0.271) abnormal head circumference (OR:1.07 P:0.611) and abnormal hight (OR:1.10 P:0.587) When compared with normal hemoglobin. The risk of this factors across 9 pregnancy hemoglobin groups depended on severity of anemia. In this study high hemoglobin concentration was associated with an elevated risk of Low Birth Weight, abnormal head circumference and abnormal hight of neonate.

The results of this study showed that high and Low maternal hemoglobin concentrations during pregnancy can have an adverse effect on neonatal weight and height.

Diabetes is considered as one of the most common endocrine disorders worldwide. The aim of this study was to investigate the factors associated with diabetic complications.

A case-control study was performed on the data of 70089 diabetic patients (4622 cases and 53613 controls) extracted from the SINA Electronic Health Record (SinaEHR®) in a population covered by Mashhad University of Medical Sciences in 2018. The effect of independent variables on the likelihood of diabetic complications was investigated using single-variable and multivariate logistic regression models with the control of the potential confounding effects.

Using the multivariate logistic regression, the odds of developing diabetic complications were 0.35 (0.31-0.38) for living in the city, 0.73(0.67-0.79) for living in the suburbs and 0.31(0.28-0.33) for living in rural areas relative to the metropolises, 0.84 (0.78-0.91) for illiterate subjects, 0.70 (0.66-0.75) for physical activity, 1.51(1.34-1.71) for stage 1 hypertension and 1.87 (1.43-2.44) for stage 2 hypertension relative to normal blood pressure, 0.79(0.74-0.85) for uncontrolled low density lipoprotein and 1.42(1.33-1.51) for uncontrolled hemoglobin A1C.

Various risk factors were identified to increase the odds ratio of diabetic complications. The most important risk factors were uncontrolled glycosylated hemoglobin and stage 1 and 2 hypertension. Control of these factors can reduce the chance of diabetic complications in diabetic patients.

Today, due to changes in human lifestyle and consumer demand incidence of foodborne diseases is on the rise. The aim of this study was to investigate the mortality rate of foodborne diseases and their related factors.

In this cross-sectional study, data on deaths registered according to the International Classification of Diseases (ICD-10th revision) were extracted from death registration and classification of causes system in the Ministry of Health and Medical Education of Iran from 2011 to 2018. Data on deaths from food and water borne diseases including Salmonella, Shigella, Escherichia coli O157:H7, Staphylococcus aureus, Clostridium botulinum, and other foodborne diseases were extracted from database of death registration and classification of causes system. The demographic variables of dead people considered in this study include age (under 5 years, 5-20 years, 20-40, 40-60s and over 60 old), gender, nationality, and the location where people died (urban, rural and unknown).

The majority of deaths cases occurred at the age of 60 years and in older age groups (P<0.001). The results show that across all the age groups mortality rate from foodborne diseases was higher among men than among women (P=0.110). Most of foodborne diseases were reported by people living in urban areas (P<0.0001). The results of this study showed that most of the deaths from these diseases occur in the warm seasons. In this study, the crude death rate was 10 cases per one million inhabitants.

The results of this study showed that there was a significant difference between the mortality rate due to different bacterial agents. This study suggests that demographic variables are important predictors of mortality from foodborne illness and should be further investigated.

Sleep disorders include problems involving the quality, timing and amount of sleep, which cause decreased functioning and discomfort during the daytime. Considering the importance of sleep in health and quality of life and the probability of the related disorders in the elderly, this study was conducted to investigate sleep disorders and their risk factors in an elderly population covered by Mashhad University of Medical Sciences.

We conducted one of the largest population-based cross-sectional studies in an elderly population covered by Mashhad University of Medical Sciences in 2016. In this study, a total 8496 elderly people aged 60-90 years old with sleep disorders were compared with 35041 elderly subjects without complaints. Data were extracted from the Sina Electronic Health Record System. Bivariate and multivariate logistic regression analysis were carried out using the STATA ® version 14 to determine associations between independent variables and sleep disorders.

In multivariate analysis, male gender (AOR=0.58; 95% CI: 0.55-0.61), being married (AOR=0.88; 95% CI: 0.83-0.93), overweight and lightweight compared to normal weight (AOR=1.27; 95% CI: 1.21-1.34 and AOR=1.20; 95% CI: 1.04-1.38, respectively), smoking (AOR=2.22; 95% C.I: 2.05-2.40), high blood pressure (AOR=1.44; 95% C.I: 1.37-1.52), diabetes (AOR= 1.49; 95% C.I: 1.40-1.58) and depression (AOR=3.05; 95% C.I: 2.74-3.38) variable remained in the final model after adjusting for confounders.

In this study, gender, marital status, body mass index, smoking, blood pressure, diabetes and depression were the main determinants of sleep disorders. It is necessary to identify the risk factors and perform appropriate interventions to improve the sleep.

Despite progress in health, Contamination of lice are considered as a health problem. The aim of this study was to investigate the spatial distribution of Pediculosis in the cities covered by Mashhad University of Medical Sciences in 2016. This study was descriptive and analytical cross sectional. Information from 7453 Pediculosis patients was extracted from the Sina Electronic Health Record in a 4-month period (November 2016 to March 2017). To show the spatial distribution of the disease, was used the GIS software. That was used SPSS software to analyze the data and graph pad software to plot the graphs. The study showed that 91.2% of the total population was women and 64.1% were adolescents aged between 7 and 18 years old. Prevalence rates in elementary and children under the 6 years were 42.6% and 31.8%, respectively, with the highest prevalence. Pediclusis transmission was 64.6% in schools and 46.3% in the direct transmission method. Based on spatial distribution map of Khalilabad, the highest prevalence and Kalat were the least prevalence among Khorasan Razavi counties. Considering the results of this study, it can be said that elementary girls are more likely to expose to contamination. Schools were the most probable places of contamination, and direct contact were the most common way of contamination was obtained. People with higher levels of education were less likely to be infected.