Sleep Quality and Its Contributing Factors Among Patients With Obesity: A Cross-Sectional Study DOI Open Access
Humza Saeed,

Ala Mohsen,

Ahmed T Alqayem

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Background: Obesity is a major public health issue associated with range of comorbid conditions, including sleep disturbances. Poor quality common in individuals obesity, yet the factors contributing to this relationship remain underexplored, especially non-Western populations. This study aimed investigate and its among patients obesity eastern region Saudi Arabia. Methods: A cross-sectional was conducted multiple healthcare centers Two hundred adults (aged 18-65 years) (BMI ≥30 kg/m²) were recruited through convenience sampling. Data collected using structured questionnaire that assessed demographics, patterns, lifestyle (e.g., physical activity, dietary habits, electronic device use), conditions. Sleep self-reported four-point scale. Statistical analyses, descriptive statistics chi-square tests, used identify relationships between BMI quality. Results: The mean age participants 42.5 years (SD = 12.3), 56% female. Participants reported an average duration 5.8 hours per night 1.3). Over 50% experienced poor quality, 64% symptoms apnea. Increasing poorer those highest categories >42 reporting worst outcomes. Lifestyle such as inactivity (75%) caffeine consumption (60.5% within six bedtime) also significantly Conclusions: strongly cohort, higher unhealthy Interventions targeting weight management, hygiene are essential for improving overall obese patients. Future research should explore causal mechanisms disturbances evaluate effectiveness integrated interventions.

Language: Английский

Mental Health and Lifestyle Factors Among Higher Education Students: A Cross-Sectional Study DOI Creative Commons
Raquel Simões de Almeida,

Andreia Rodrigues,

Sofia Tavares

et al.

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 253 - 253

Published: Feb. 23, 2025

This study aimed to describe the lifestyle factors and mental health levels among higher education students identify their predictors. A cross-sectional with a sample of 745 was conducted from Polytechnic Porto using Depression Anxiety Stress Scales (DASS-21), Clinical Outcomes in Routine Evaluation (CORE)-18, FANTASTICO Lifestyle Questionnaire. The findings indicate that while generally exhibited positive lifestyle, they also experienced mild depression, anxiety, stress, nearing moderate threshold. DASS-21 subscale significant predictor both CORE-18 scores, underscoring strong relationship between depression overall well-being. stress were predictors reflecting negative impact on students’ psychological Perceived status male sex associated better outcomes CORE-18, female predicted healthier as measured by FANTASTICO. These highlight importance targeted interventions address promote healthy choices educational settings.

Language: Английский

Citations

0
Epidemiology of sleep disturbances among medical students in the Middle East and North Africa: a systematic review and meta-analysis DOI Creative Commons

Sonia Chaabane,

Karima Chaabna,

Salina Khawaja

et al.

Journal of Global Health, Journal Year: 2025, Volume and Issue: 15

Published: April 25, 2025

Sleep disturbances and their associated health issues are common among medical students. Despite this, the epidemiology of sleep students in Middle East North Africa (MENA) region remains inadequately understood. Our objective was to synthesise prevalence disturbances, including poor quality, insufficient duration, excessive daytime sleepiness (EDS), variation relation academic performance stress levels. We performed a systematic review meta-analysis. Two independent reviewers searched PubMed, Web Science, Google Scholar, reference lists relevant studies reviews up May 2024. assessed quality included using risk bias tool. meta-analyses random-effects models used Cochran's Q between-subgroups statistic test for differences across subgroups. I2 assess statistical heterogeneity. Further, we publication Doi plots. 150 conducted 16 MENA countries. found that 59.1% suffer from (Pittsburgh Quality Index mean (x̄) = 8.5; 95% confidence interval (CI) 7.0-10.1), 59.8% have duration (<7 hours per night) averaging 6.1 night (95% CI 5.4-6.9), 38.4% experience EDS (Epworth Sleepiness Scale x̄ 8.6; 8.0-9.1). results indicate significantly higher with moderate or high levels during preclinical training period low-income A years. public schools those observed no between good performance. findings highlight substantial Medical must address this critical issue targeted, locally informed, culturally appropriate interventions. Further research is needed association identify factors tailored interventions mitigate adverse consequences on students' well-being. Open Science Framework BF2A6.

Language: Английский

Citations

0
An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning DOI Creative Commons
Lirong Zhang,

Shaocong Zhao,

Zhongbing Yang

et al.

BMC Psychiatry, Journal Year: 2024, Volume and Issue: 24(1)

Published: Aug. 27, 2024

Precisely estimating the probability of mental health challenges among college students is pivotal for facilitating timely intervention and preventative measures. However, to date, no specific artificial intelligence (AI) models have been reported effectively forecast severe distress. This study aimed develop validate an advanced AI tool predicting likelihood distress in students. A total 2088 from five universities were enrolled this study. Participants randomly divided into a training group (80%) validation (20%). Various machine learning models, including logistic regression (LR), extreme gradient boosting (eXGBM), decision tree (DT), k-nearest neighbor (KNN), random forest (RF), support vector (SVM), employed trained Model performance was evaluated using 11 metrics, highest scoring model selected. In addition, external conducted on 751 participants three universities. The then deployed as web-based application. Among developed, eXGBM achieved area under curve (AUC) value 0.932 (95% CI: 0.911–0.949), closely followed by RF with AUC 0.927 0.905–0.943). demonstrated superior accuracy (0.850), precision (0.824), recall (0.890), specificity (0.810), F1 score (0.856), Brier (0.103), log loss (0.326), discrimination slope (0.598). also received 60 based evaluation system, while 49. scores LR, DT, SVM only 19, 32, 36, respectively. External yielded impressive 0.918. demonstrates promising predictive identifying at risk It has potential guide strategies early identification preventive

Language: Английский

Citations

1
The Longitudinal Association Between Resilience and Sleep Quality in Breast Cancer DOI
Shuhan Li, Qingxin Mai, Xiaoxiao Mei

et al.

European Journal of Oncology Nursing, Journal Year: 2024, Volume and Issue: 74, P. 102734 - 102734

Published: Nov. 15, 2024

Language: Английский

Citations

1
Sleep Quality and Its Contributing Factors Among Patients With Obesity: A Cross-Sectional Study DOI Open Access
Humza Saeed,

Ala Mohsen,

Ahmed T Alqayem

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Background: Obesity is a major public health issue associated with range of comorbid conditions, including sleep disturbances. Poor quality common in individuals obesity, yet the factors contributing to this relationship remain underexplored, especially non-Western populations. This study aimed investigate and its among patients obesity eastern region Saudi Arabia. Methods: A cross-sectional was conducted multiple healthcare centers Two hundred adults (aged 18-65 years) (BMI ≥30 kg/m²) were recruited through convenience sampling. Data collected using structured questionnaire that assessed demographics, patterns, lifestyle (e.g., physical activity, dietary habits, electronic device use), conditions. Sleep self-reported four-point scale. Statistical analyses, descriptive statistics chi-square tests, used identify relationships between BMI quality. Results: The mean age participants 42.5 years (SD = 12.3), 56% female. Participants reported an average duration 5.8 hours per night 1.3). Over 50% experienced poor quality, 64% symptoms apnea. Increasing poorer those highest categories >42 reporting worst outcomes. Lifestyle such as inactivity (75%) caffeine consumption (60.5% within six bedtime) also significantly Conclusions: strongly cohort, higher unhealthy Interventions targeting weight management, hygiene are essential for improving overall obese patients. Future research should explore causal mechanisms disturbances evaluate effectiveness integrated interventions.

Language: Английский

Citations

0