Global prevalence and risk factors of obstetric violence: A systematic review and meta-analysis.

Background: Obstetric violence (OBV), defined as mistreatment or abuse during childbirth, is a pervasive global issue, albeit with regional differences, affecting women's physical and emotional well-being.

Objectives: The purpose of this systematic review and meta-analysis is to assess the prevalence of OBV to identify risk factors associated with OBV and to make suggestions for improving maternal healthcare practices and policies.

Search Strategy: In a systematic review and meta-analysis, we searched four electronic databases for studies published over 10 years up to 31 January 2024: Medline (PubMed), Scopus, Embase, and Web of Science (WOS).

Advancing road traffic injury measures in the WANA region towards road safety specific SDGs.

The study of road traffic injuries (RTIs) is crucial for understanding the unique challenges faced by West Asia and North Africa (WANA) states. This research evaluates road safety practices in the WANA region, comparing them to global standards, and employs secondary data analysis from sources such as the Global Road Safety Status Report, Global Road Safety Facility, and the World Health Organization. The analysis examines epidemiological data, preventive measures like seatbelt and child-restraint use, and policy development, including national action plans, to estimate road traffic death rates per 10,000 vehicles and per 100,000 population.

The Factor Structure and Generalizability of the Iranian Socioeconomic Status (SES) Questionnaire Administered in a Nationally Divergent Population.

Background: Measuring socioeconomic status (SES) as an independent variable is challenging, especially in epidemiological and social studies. This issue is more critical in large-scale studies on the national level. The present study aimed to extensively evaluate the validity and reliability of the Iranian SES questionnaire.

Evaluation of cost-effectiveness of single-credit traffic safety course based on Kirkpatrick model: a case study of Iran.

Background: Training plays a role in reducing traffic accidents, and evaluating the effectiveness of training programs in managers' decision-making for training continuation is important. Thus, the present study aimed to evaluate the cost-effectiveness of a single-credit traffic safety course based on the four levels of the Kirkpatrick model in all Iranian universities.

Methods: This interventional study aimed to evaluate the cost-effectiveness of a single-credit traffic safety course based on the Kirkpatrick model from 2016 to 2020 in Iran.

Novel Anthropometric Indices as Screening Tools for Obesity: A Study on Healthy Iranians.

Background And Aims: Upper body fat distribution is more related to cardiometabolic diseases than central obesity. Neck circumference (NC) and neck-to-height ratio (NHtR) are two indicators of upper body obesity that are affordable, easy to obtain, highly reproducible, and more practical in the crowded health centers than the classic anthropometric indices.

Methods: 18-65-year-old individuals with no past medical history were included.

Developing and validating an instrument to assess women's empowerment in dealing with domestic violence in Iran: a mixed-methods study protocol.

Introduction: Despite the emphasis on empowerment in interventions supporting women against domestic violence and ending spousal abuse, there is still no standard and accurate instrument to evaluate women's empowerment in this field. This study proposes a protocol to fill this gap by developing and psychometrically testing a standardised instrument for assessing women's empowerment in dealing with domestic violence (WEDDV).

Methods And Analysis: This study will be conducted in Iran in a mixed method with a sequential exploratory design (qualitative-quantitative).

Exploring the Causal Impact of Age and Nighttime Driving on Road Traffic Injuries among Elderly Drivers: A Bayesian LASSO Approach.

Objective: To determine the causal relationship between aging and nighttime driving and the odds of injury among elderly drivers.

Methods: In this cross-sectional study, 5460 car accidents were investigated from 2015 to 2016. The data were extracted from the Iranian Integrated Road Traffic Injury Registry System.

Economic Evaluation Approaches in the Field of Disaster Health Management.

Background: Economic evaluation approaches are needed to establish useful interventions for saving lives, preventing economic damage, and saving recovery costs at the time of disasters. Thus, the present study is aimed to identify the studies that applied economic evaluation approaches/methods for evaluating the economic costs of disasters.

Methods: A scoping review was conducted to find the eligible studies and perform a comprehensive data analysis.

Association metrological factors with Covid-19 mortality in Tehran, Iran (2020-2021).

The outbreak of the Coronavirus disease (COVID-19) has raised questions about the potential role of climate and environmental factors in disease transmission. This study examined meteorological and demographic factors to determine their impact on mortality and hospitalization rates in Tehran, Iran from January 1, 2021, to December 31, 2022. Notably, hospitalization cases were positively associated with temperature (P-value: 0.

The Role of the Health Belief Model in Explaining Why Symptomatic Iranian Women Hesitate to Seek Early Screening for Breast Cancer: a Qualitative Study.

Early detection of breast cancer (BC) is important to increase the likelihood of treatment and improve the quality of life and survival. The study explored why symptomatic women linger to seek early screening for BC diagnosis based on the health belief model (HBM). In this qualitative study, 20 participants were selected using the purposive sampling method (9 health professionals and 11 female patients BC).

Designing a conceptual model for the formation of unsafe antisocial behaviors in motor vehicle drivers: a grounded theory study.

Background: Many accidents caused by vehicles are the result of improper driving behavior. Use the vehicle in an antisocial form has led to a phenomenon called driving violence. Antisocial behavior while driving has a potential risk to other road users.

Longitudinal effects of lipid indices on incident cardiovascular diseases adjusting for time-varying confounding using marginal structural models: 25 years follow-up of two US cohort studies.

Background: This study assesses the effect of blood lipid indices and lipid ratios on cardiovascular diseases (CVDs) using inverse probability-of-exposure weighted estimation of marginal structural models (MSMs).

Methods: A pooled dataset of two US representative cohort studies, including 16736 participants aged 42-84 years with complete information at baseline, was used. The effect of each lipid index, including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), ratios of TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C on coronary heart disease (CHD) and stroke were estimated using weighted Cox regression.

Setting research priorities to achieve long-term national road safety goals in Iran.

Background: Road traffic crashes (RTCs) and its associated injuries are one of the most important public health problems in the world. In Iran, RTCs rank second in terms of mortality. To address this issue, there is a need for research-based interventions.

Effectiveness of the Preventive Intervention of Chromosomal Disorders of Iran's Community Genetics Program: Application of Bayesian Network.

Evidence-based policymaking for the genetic preventive interventions at the community level requires information on the effectiveness of interventions in the operational areas taking into account the characteristics of health system and customer behaviour. These information are limited in many low- and middle-income countries. In this study, we estimated the effectiveness of preventive interventions for chromosomal disorders using the conceptual framework of Iran's community genetics program (ICGP) using a Bayesian Network as a modeling method in limited access situation to the complete and accurate observational data.

The Prevalence of Addiction to Social Network Among Students in Iran and its Factors Related: A Study Conducted in 2020.

Background: In the present era, the prevalence of addiction to social networks has shown that many users, including students, are detaching from the real world. Therefore, this study aims to estimate the prevalence of addiction to the social networks among students in Iran and its related factors.

Methods: This is a cross-sectional study conducted in 2020 on 1000 students in Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Comparative analysis of anthropometric indices with serum uric acid in Iranian healthy population.

Background: The relationship between elevated serum uric acid (SUA) levels and hypertension, metabolic syndrome and cardiovascular disease has been established. In this study, the relation of SUA levels to anthropometric indices, blood cell count and lipid profile was examined.

Methods: Anthropometric parameters including body-mass index, waist circumference, waist to height ratio, waist to hip ratio, waist to pelvic ratio, neck circumference (NC), body fat mass (BFM), basal metabolic rate (BMR), visceral fat level (VFL) and percent body fat (PBF), along with complete blood cell count, lipid profile and SUA were obtained from 2921 young and middle-aged Iranian healthy subjects.

A model for Vision Zero implementation in Iran: a grounded theory study.

Background: Road Traffic injuries (RTIs) are major global health issues, but they have been neglected. RTIs are multi-faceted in nature and, like many injuries, are costly but preventable. Iran has one of the highest rates of deaths due to traffic accidents among middle-income countries.

Multi-trajectories of lipid indices with incident cardiovascular disease, heart failure, and all-cause mortality: 23 years follow-up of two US cohort studies.

Background: Understanding the distinct patterns (trajectories) of variation in blood lipid levels before diagnosing cardiovascular disease (CVD) might carry important implications for improving disease prevention or treatment.

Methods: We investigated 14,373 participants (45.5% men) aged 45-84 from two large US prospective cohort studies with a median of 23 years follow-up.

Iran COVID-19 Epidemiology Committee: A Review of Missions, Structures, Achievements, and Challenges.

Background: Since the beginning of the coronavirus disease 2019 (COVID-19) epidemic in Iran, the control and management of the epidemic were headed by the National Headquarter for the Control of COVID-19 Epidemic through setting up different scientific committees, including the COVID-19 National Epidemiology Committee. The present study reviews the missions, structures, achievements, and challenges of the Epidemiology Committee.

Study Design: A rapid review .

Spatio-temporal analysis of COVID-19 incidence rate using GIS: a case study-Tehran metropolitan, Iran.

COVID-19 has been distinguished as a zoonotic coronavirus, like SARS coronavirus and MERS coronavirus. Tehran metropolis, as the capital of Iran, has a high density of residents that experienced a high incidence and mortality rates which daily increase the number of death and cases. In this study, the IDW (Inverse Distance Weight), Hotspots, and GWR (Geography Weighted Regression) Model are used as methods for analyzing big data COVID-19 in Tehran.

Exploring the Factors Affecting Unsafe Antisocial Behaviors of Drivers in Iran: A Qualitative Study.

Objective: To explore the factors affecting unsafe antisocial behaviors of drivers in the context of Iran.

Methods: The interviews were conducted from June to November 2019. A number of 19 participants were selected using purposive sampling method.

Machine learning algorithms to predict seizure due to acute tramadol poisoning.

Introduction: This study was designed to develop and evaluate machine learning algorithms for predicting seizure due to acute tramadol poisoning, identifying high-risk patients and facilitating appropriate clinical decision-making.

Methods: Several characteristics of acute tramadol poisoning cases were collected in the Emergency Department (ED) (2013-2019). After selecting important variables in random forest method, prediction models were developed using the Support Vector Machine (SVM), Naïve Bayes (NB), Artificial Neural Network (ANN) and K-Nearest Neighbor (K-NN) algorithms.

Mediating Role of Anxiety and Depression in the Relationship Between Posttraumatic Stress Disorder and Aggression in Motor Vehicle Accident: A Structural Equation Modelling Approach.

Objective: This study investigated the existence of anxiety and depression mediating effect on the relationship between PTSD and aggression in the hope of providing more comprehensive and effective trauma treatment in motor vehicle accident.

Methods: The studied population of the study consisted of with posttraumatic stress disorder in Kashan. Three questionnaires of post-traumatic stress disorder, were used for data collection.

Developing and validating a measurement tool to self-report pedestrian safety-related behavior: The Pedestrian Behavior Questionnaire (PBQ).

Objective: Pedestrians are road users vulnerable to traffic injuries and fatalities. This study aimed to develop and validate a pedestrian behavior questionnaire to be used in Iran.

Methods: In this cross-sectional study, the initial questionnaire was designed based on the evaluation of previous studies conducted world-wide or in Iran.