Publications by authors named "Mehdi Khezeli"

Introduction: Emotional eating is a situation with harmful consequences for the physical, mental and social health of humans. In this regard, the present study aimed to explain the role of social culture in the lived experiences of emotional eating in Iranian obese women.

Methods: This was a qualitative study conducted using the phenomenological approach.

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Background And Aims: In Iran, few studies have addressed the moderating effect of gender on determinants of quality of life. This study aimed to determine the effect of social trust, physical activity, and sense of happiness on the perceived quality of life, considering the moderating role of gender.

Methods: This was a population-based cross-sectional study.

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Introduction: Health-promoting lifestyle can leads to improving the quality of life, life satisfaction, well-being and reducing the burden of health care in the society. This study was carried out to investigate the mediating role of health-promoting lifestyle and moderating role of ethnicity in the effect of cultural capital and subjective socioeconomic status on life satisfaction in Iran.

Methods: This cross-sectional study was conducted with 800 respondents in the cities of Kermanshah with Kurdish ethnicity and Tabriz with Azeri ethnicity.

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Objective: Women's quality of life is essential both for women's and their family's health. The aim of this study was to examine the quality of life status and interaction of subjective socioeconomic status and violence, on quality of life of married women in west of Iran.

Materials And Methods: This was a cross-sectional study that recruited 1533 married women using multi-stages sampling method.

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Background And Aims: Willingness to engage in preventive behaviors against coronavirus disease 2019 (COVID-19) depends on people's risk perception. This is especially important in cancer patients who are at risk of complications from the disease. Therefore, this study was conducted to investigate avoidance of COVID-19 preventive behavior of in cancer patients.

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Background: This study aimed to examine the effect of the coronavirus disease 2019 (COVID-19) outbreak on the hospitalization rate, emergency department (ED) visits, and outpatient clinic visits in western Iran.

Methods: We collected data on the monthly hospitalization rate, rate of patients referred to the ED, and rate of patients referred to outpatient clinics for a period of 40 months (23 months before and 17 months after the COVID-19 outbreak in Iran) from all 7 public hospitals in the city of Kermanshah. An interrupted time series analysis was conducted to examine the impact of COVID-19 on the outcome variables in this study.

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Article Synopsis
  • Apnea disorder is affected by social and environmental factors, and a study using GIS in Kermanshah aims to identify where this disorder is most prevalent and at-risk groups.
  • The research involved 119 residents from Kermanshah who visited a sleep center between 2012 and 2018, with data analyzed using various statistical tests in GIS software.
  • Findings revealed that apnea disorder clusters in the Kermanshah area, particularly affecting individuals aged 50-54, with more women being affected than men, and is more common among the unemployed, married, and those who are overweight or obese.
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Introduction: One of the major challenges in developing countries is the inappropriate spatial distribution of medical laboratory centers (MLCs) which can lead to injustice in access to health services. This study aimed to investigate the accessibility to and site suitability of MLCs in Kermanshah Metropolis by GIS.

Materials And Methods: In this cross-sectional study, data were collected from the Iran Statistical Center and Deputy of Treatment of Kermanshah University of Medical Sciences.

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Objectives: This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.

Methods: This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media.

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Background: The best way to prevent COVID-19 is to observe health protocols. Therefore, identifying the reasons of following these protocols in order to plan and make intervention seems necessary. Therefore, the purpose of this study was to identify the determinants of observing health protocols related to prevention of COVID-19 among the Iranian adult women with a qualitative approach.

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Objective: Investigating the trends of child diarrhea-related mortality (DRM) is crucial to tracking and monitoring the progress of its prevention and control efforts worldwide. This study explores the spatial patterns of diarrhea-related mortality in children under five for monitoring and designing effective intervention programs.

Methods: The data used in this study was obtained from the World Health Organization (WHO) public dataset that contained data from 195 countries from the year 2000 to 2017.

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Background: Waterpipe is one of the oldest methods of tobacco smoking, which has become the public health challenge, especially in the Eastern Mediterranean countries such as Iran. This study aimed to investigate the waterpipe smoking (WPS) in the young people of Kermanshah in 2020, using a qualitative method.

Methods: This was a qualitative study conducted with the approach of content analysis.

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Background: Health equity is directly associated with the proper distribution of resources, the existence of infrastructures, and the balanced physical environment. The present study aimed to survey the indexes of health equity in the physical environment and infrastructures of Kermanshah province based on the national indexes.

Results: The results revealed that access to transportation, health centers, solid waste management, and green and sports per capita had the least distance from the negative ideal whereas the noise pollution index had the greatest distance.

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Background: Over the past few decades, various goals have been defined to reduce the mortality of children caused by acute lower respiratory infections (ALRIs) worldwide. However, few spatial studies to date have reported on ALRI deaths.

Purpose: We aimed to assess the spatial modeling of mortality from ALRI in children under 5 years of age during 2000-2017 using a global data.

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Background: Quality of life (QOL) is one of the major factors to assessing the health and wellbeing of People living with HIV (PLWH). Likewise, improved QOL is among the prominent goals of patient treatment. This study was conducted to investigate the QOL of PLWH in Kermanshah, Iran.

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Background: Anxiety symptoms have been reported in many populations during the COVID-19 pandemic, but not in adolescents with a hearing loss. This study aimed to investigate the presence of symptoms of anxiety disorders (ADs) in adolescents with hearing loss (HL) during the COVID-19 pandemic, 2020.

Methods: In this cross sectional study, 56 adolescents with HL (aged 12 to 18 years) including 23 deaf, and 33 hard of hearing (HH) were selected from four counties located in western Iran using a census method.

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Background: Life satisfaction is an important component in designing strategies to improve health outcomes in different groups of society. This study aimed to investigate the effect of subjective socioeconomic status (SSS), social capital (SC), self-rated health (SRH), and physical activity (PA) on life satisfaction (LS) in Iran.

Methods: This cross-sectional study was conducted on 1187 people (643 men and 544 women) lived in five western cities in Iran.

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Background: Sleep Quality (SQ) is one of the most important predictors of quality of life in individuals. This study was conducted to evaluate the quality of life and SQ of industrial male workers in Kermanshah.

Materials And Methods: In this cross-sectional study, 404 male workers selected by stratified sampling in the Kermanshah Industrial Town participated.

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The aim of this study was to prioritize human risk factors for preventive interventions by estimating the avoidable burden and population attributable fraction (PAF) of each risk factor using penalization and data augmentation method. To avoid the sparse data bias, Bayesian logistic regression via data augmentation methods, were used for multivariable analysis. Informative normal priors adopted from the studies were used for the studied human risk factors.

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