ArticleJournal of diabetes and metabolic disorders2020
The relationship between lifestyle and anthropometric factors with the sleep characteristics among university students in Iran: the MEPHASOUS study.
Article in Journal of diabetes and metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Analyzing the Association of Social Capital and Sleep Quality of the Elderly Community.Health science reports · 2025Article
- The prevalence and causes of self-medication among medical university students in Iran during COVID-19 outbreak and its implications for public health and health systems: A cross-sectional study.Health science reports · 2024Article
- Psychometric Properties of the Healthy Lifestyle Questionnaire for Ecuadorian University Students (EVS-EUE).International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
9 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthy sleep habits have an important role in normal cognitive function, emotional performance, and well-being. The aims of this study were to describe the characteristics of sleep among university students in Iran. In addition, we assessed the relationship between lifestyle and anthropometric factors with the sleep characteristics.
methodsThis population-based cross-sectional study was conducted using the data of "Mental and Physical Health Assessment of University Students in Iran" survey 2012-2013. This survey was conducted on newly admitted students in 74 public universities in 28 provinces. The participants were younger adults. Univariate and multivariate logistic regression models were utilized to recognize associated factors with sleep pattern and range.
resultOf total 78,848 students who completed the survey, 54.64% (
conclusionOur findings indicated that irregular sleep pattern is associated with overweight and obesity. So, these results underscore the need to educate students on importance of healthy sleep pattern and duration on health conditions.
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Registered trials
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