Showing 4 results for Cross-Sectional Study
A Alipour, F Yasari, S Khodakarim, A Shokri,
Volume 15, Issue 1 (5-2019)
Abstract
Background and Objectives: Chronic renal failure (CRF) is an irreversible disorder of the renal function. The aim of this study was to describe the features of patients with chronic renal failure and the factors associated with this disease among hemodialysis patients in a hospital in Tehrn in 2016.
Methods: In this cross-sectional descriptive study, patients presenting to the hemodialysis department of Shahid Ayatollah Ashrafi Esfahani Hospital who underwent continuous hemodialysis treatment for at least three months were studied. Data were gathered from the medical records of the patient s and, if necessary, additional interviews were conducted with the patients. Data were analyzed with descriptive and inferential statistics using the Stata software version 14.
Results: Of 359 patients, 230 (64.07%) were male with a mean age of 58.1 ± 1.09 years. The frequency (frequency percentage) of the most commonly known possible causes of renal failure was hypertension 91 (25.35%), hypertension and diabetes 84 (23.43%), and diabetes 78 (21.73%). The mortality rate was higher in diabetic patients compared to non-diabetic patients (50% vs 38.55%).
Conclusion: The main cause of chronic renal failure is hypertension and diabetes, and the mortality rate is higher in these patients than in other patients.
Aa Abbasi, Hr Bahrami, B Beygi, E Musa Farkhani, V Vakili, F Rezaee Talab , R Eftekhari Gol , M Talebi,
Volume 15, Issue 2 (9-2019)
Abstract
Background and Objectives: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
Z Rahimi, H Esmaily, A Taghipour, E Mosa Farkhani , J Jamali,
Volume 16, Issue 4 (3-2021)
Abstract
Background and Objectives: Psychological distress is one of the minor psychiatric disorders that can be used as a predictor of serious mental illnesses such as depressive and anxiety disorders. These disorders are predictors of death from cardiovascular disease, stroke, and cancer. This study was conducted to evaluate the prevalence of psychological distress and its related factors.
Methods: This descriptive- analytical cross-sectional study was conducted in 2018. The study population included 1103945 subjects aged 18-65 years old that presented to the health centers of Khorasan Razavi. In this study, demographic checklists and the six-item Kessler Psychological Distress Scale (K-6) were used.
Results: The prevalence of psychological distress was 10.10%. The mean age of the subjects was 35.99 ± 10.46 years old, 62.10% were female, 86% were married, and 78.90% had a high school education or less. The response rate was 98.6%. Logistic regression analysis showed a significant relationship between psychological distress and age, gender, marital status, education, location, and occupation.
Conclusion: In this study, the prevalence of psychological distress was low. According to the odds ratio (OR), divorced women, illiterate women, housewives, and big city dwellers were high-risk groups for psychological distress. Considering the relatively large sample size, it is necessary to develop appropriate strategies for prevention and treatment, and training of these groups.
H Tavakoli Ghouchani, A Delshad, Hr Shoraka, H Lashkardoost, A Afshari Safavi , J Rahimi,
Volume 16, Issue 5 (3-2021)
Abstract
Background and Objectives: The COVID-19 pandemic has led to major health and socioeconomic problems worldwide. This study was conducted to determine the clinical features and health behaviors related to COVID-19 in patients presenting to selected COVID-19 centers of North Khorasan University of Medical Sciences.
Methods: This cross-sectional study was carried out using stratified random sampling in 350 patients presenting to selected COVID-19 centers of North Khorasan University of Medical Sciences in August and September 2020. Demographic and clinical features and the data related to COVID-19 disease were collected using a researcher-made checklist and analyzed with the SPSS 24 software using chi-square test and logistic regression.
Results: Of 350 patients, 200 (57.1%) were male and the rest were female. The PCR test was positive in 72% of the patients. The highest percentage of infection was seen in self-employed subjects and driver, people in the age group 30-50 years, and male subjects. The highest observance of masking, hand washing, and social distancing was related to healthcare staff and the lowest was seen in self-employed people, drivers, and military staff. A history of attending a gas station increased the chance of a positive test by 2.3 times (95% CI: 1.13-4.79).
Conclusion: According to the results, age, gender, occupation and history of presence in crowded places are important determinants of infection and adherence to protocols.
