Showing 4 results for Nematollahi
K Holakouie Naieni , Ma Mansournia, Mh Panahi, A Elduma, Sh Nematollahi ,
Volume 12, Issue 3 (Vol 12, No 3 2016)
Abstract
Case-Cohort and nested case-control designs are the most well-known and cost-effective derivatives of prospective studies. Due to the popularity of these designs in recent years, the aim of this study is to provide a comprehensive and up-to-date description of them with respect to methodological issues such as sampling scheme, effect measure estimation, and analysis strategies. Overall, random sampling of controls in case-cohort and matching for time in nested design are considered their hallmarks. Eventually, decision on a better design depends on study objectives, sub-cohort selection, case and control determination, and method of data collection. It should be kept in mind that any particular study requires unique elaboration and delicate examination to choose from the designs.
Z Torabi, Sh Nematollahi, E Ahmadnezhad, K Holakoie Naieni ,
Volume 14, Issue 2 (Vol.14, No.2, 2018)
Abstract
Background and Objectives: Epidemics of diarrhea caused by contaminated food and water occur frequently worldwide, especially in developing countries. The aim of this study was to identify the factors contributing to the development and spread of diarrhea epidemics caused by Shigella flexneri in Isfahan in the spring of 2015.
Methods: Following the first reports and activation of the surveillance system, a matched case-control study was conducted in 360 cases with diarrhea and 360 controls. Data were gathered using a questionnaire, and conditional logistic regression was used to provide adjusted odds ratios and 95% confidence intervals.
Results: Consumption of contaminated fresh vegetable (OR=4.50, 95% CI=2.88-7.01) was the source of the epidemic. Contact with similar patients (OR=7.19, 95% CI=4.26-12.12), presence of similar patients in the family (OR=33.2, 95% CI=13.64-80.82), food consumption on special events (party, wedding ceremony, funeral, etc.) (OR=1.67, 95% CI=1.06-2.62), being a government employee (OR=3.08, 95% CI=1.64-5.78) and being illiterate (OR=2.91, 95% CI=1.10-7.67) were the risk factors of the spread of the epidemic.
Conclusion: In this study, consumption of fresh vegetable contaminated with Shigella flexneri was the source of the infection. According to the Epidemic Management Team, contamination occurred due to non-standard wastewater irrigation of agricultural lands. Therefore, it is important to consider the standards of agricultural production and compilation of a comprehensive program to improve the status of the wastewater purification system in the environmental sciences by the relevant organizations to prevent diarrhea epidemics.
M Ostadghaderi, Aa Hanafi Bojd , Sh Nematollahi, K Holakoui-Naeini ,
Volume 17, Issue 1 (Vol 17,No.1, Spring 2021 2021)
Abstract
Background and Objectives: The incidence of colorectal cancer has increased significantly in Iran in recent decades. The pattern of occurrence varies in different populations. A study was conducted to perform a spatial analysis of colorectal cancer and some of its risk factors in Iran using GIS.
Methods: The data of this descriptive-analytic study included colorectal cancer incidence as a dependent variable and physical activity, Body Mass Index and smoking as independent variables recorded by the Cancer Department, Center for Non-Communicable Diseases Management, the Ministry of Health and Medical Education and the care system for non-communicable disease risk factors according to province and gender in 2009. Data was analyzed using the ArcGIS 10.3 software and spatial correlation analysis, hot spots analysis, and geographic weighted regression model.
Results: The spatial relationship between the disease and some of its risk factors was confirmed by the model of geographical weight regression, according to which the northern and central provinces had the highest risk of colorectal cancer compared to other regions of the country.
Conclusion: The results of this study showed that spatial analysis could be useful in identifying disease patterns, prioritizing the factors affecting it, and controlling the disease through strategic planning and interventions.
K Holakoui-Naeini, Ma Mansournia, Sh Naderian, R Beiranvand, M Bidkhori, Kh Maajani, Sh Nematollahi,
Volume 17, Issue 2 (Vol 17,No.2, Summer 2021 2021)
Abstract
Background and Objectives: Pre-natal mental health problems are major causes of disease burden, especially in lower socio-economic groups of population. The present study used data of a prospective cohort study to estimate the risk of mental health problems, including depression, anxiety, and stress, on birth weight.
Materials and Methods: This study used data of 398 pregnant women who were participants of the Bandar Abbas Pregnancy Cohort Study (BAPC) during 2017-2020. Data of depression, anxiety, and stress were collected using DASS-21items questionnaire in pregnancy. Low Birth Weight (LBW), as birthwieght below 2500 grams, was calculated according to infant`s vaccination log. Modified Poisson regression models with logarithm link function and significance level of 5% were applied to estimate the effect of depression, anxiety and stress on LBW.
Results: Compared to the subjects without mental health problems, the risk of LBW increased by 8.03 times in the severe depression (95% CIs: 5.55-11.62), by 8.06 times in the moderate stress (95% CIs: 5.64-11.51), by 3.13 times in the severe anxiety (95% CIs: 1.18-8.31), and by 8.43 in the highly severe anxiety (95% CIs: 5.80-12.25).
Conclusions: Severe and moderate levels of depression, anxiety, and stress all had statistically significant effects on LBW. Pre-natal screening services can help mitigate the burden of mental health by timely detection and referral. Moreover, designing and implementing consultation programs for pregnant women and their fsmilies, expecially their spouses, to provide emotional support and to improve marital relationship are amongst the suggestions.
