Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey (Preprint) DOI
Manal Almalki

Опубликована: Окт. 5, 2024

BACKGROUND The widespread use of smart devices, particularly among university students, has raised concerns about their impact on sleep quality. Bedtime usage devices is associated with disruptions and poor OBJECTIVE This study aimed to explore the behavioral perceptual factors influencing students’ intention stop using at bedtime in Saudi Arabia. METHODS A cross-sectional survey was conducted June 2024 distributed via social media platforms students (aged ≥18 years). questionnaire collected data demographics, device habits, perceived negative effects sleep, physical disturbances. Pittsburgh Sleep Quality Index used assess Path analysis performed evaluate relationships between outcome variables, intended usage, 3 latent variables: quality smartphone effects, during past month. Model fit assessed chi-square, comparative index, root mean square error approximation. RESULTS Of 774 participants, 90.43% (700/774) reported every night 72.48% (561/774) believed negatively affected them next morning. most frequently next-morning symptoms were fatigue or drowsiness (480/774, 62.01%). Common purposes for staying touch friends family (432/774, 55.81%), entertainment (355/774, 45.86%), filling up spare time (345/774, 44.57%). Overall, 58.26% (451/774) expressed an within months. demonstrated that frequent nightly (path coefficient=0.36) after-lights-off (0.49) positively stop, whereas spending ≥3 hours (–0.35) engaging multiple activities (–0.18) had associations. strongest predictors well-being (0.71) difficulty breathing comfortably (0.64). excellent (comparative index=0.845 approximation=0.039). CONCLUSIONS Perceived disturbances are strong Interventions improving hygiene should focus raising awareness addressing behaviors such as late-night heavy screen time. Public health strategies target both psychological physiological aspects improve this population.

Язык: Английский

The Mediating Role of Cognitive Reappraisal on Bedtime Procrastination and Sleep Quality in Higher Educational Context: A Three-Wave Longitudinal Study DOI Creative Commons
Yuan Zhang, Shazia Rehman, Abdullah Addas

и другие.

Nature and Science of Sleep, Год журнала: 2025, Номер Volume 17, С. 129 - 142

Опубликована: Янв. 1, 2025

While bedtime procrastination is commonly associated with adverse outcomes such as poor sleep quality, the mechanisms mediating these effects remain underexplored. Grounded in Self-Regulation Model of Behavior and Transactional Stress Coping, this study examines role cognitive reappraisal relationship between quality over time. Employing a longitudinal design, examined progression procrastination, reappraisal, among university students at three distinct time points throughout an academic semester. Structural equation modeling autoregressive time-lagged panel models were utilized to analyze data, assessing both direct The results revealed that exhibited significant stability across (β = 0.619 0.658, p<0.001). Bedtime earlier predicted poorer (β= -0.169, p<0.05 -0.215, p<0.01) subsequent (β=0.256, Additionally, significantly mediated -0.359, Boot 95% CI: -0.51 -0.234), emphasizing emotional regulation strategies sleep-related outcomes. These findings underscored impact on highlight key mediator. Interventions focusing enhancing emotion skills could mitigate improve students.

Язык: Английский

Процитировано

0
Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey DOI Creative Commons
Manal Almalki

JMIR Formative Research, Год журнала: 2025, Номер 9, С. e67223 - e67223

Опубликована: Март 10, 2025

Background The widespread use of smart devices, particularly among university students, has raised concerns about their impact on sleep quality. Bedtime usage devices is associated with disruptions and poor Objective This study aimed to explore the behavioral perceptual factors influencing students’ intention stop using at bedtime in Saudi Arabia. Methods A cross-sectional survey was conducted June 2024 distributed via social media platforms students (aged ≥18 years). questionnaire collected data demographics, device habits, perceived negative effects sleep, physical disturbances. Pittsburgh Sleep Quality Index used assess Path analysis performed evaluate relationships between outcome variables, intended usage, 3 latent variables: quality smartphone effects, during past month. Model fit assessed chi-square, comparative index, root mean square error approximation. Results Of 774 participants, 90.43% (700/774) reported every night 72.48% (561/774) believed negatively affected them next morning. most frequently next-morning symptoms were fatigue or drowsiness (480/774, 62.01%). Common purposes for staying touch friends family (432/774, 55.81%), entertainment (355/774, 45.86%), filling up spare time (345/774, 44.57%). Overall, 58.26% (451/774) expressed an within months. demonstrated that frequent nightly (path coefficient=0.36) after-lights-off (0.49) positively stop, whereas spending ≥3 hours (–0.35) engaging multiple activities (–0.18) had associations. strongest predictors well-being (0.71) difficulty breathing comfortably (0.64). excellent (comparative index=0.845 approximation=0.039). Conclusions Perceived disturbances are strong Interventions improving hygiene should focus raising awareness addressing behaviors such as late-night heavy screen time. Public health strategies target both psychological physiological aspects improve this population.

Язык: Английский

Процитировано

0
Unravelling behavioural contributions to IBS risk: evidence from univariate and multivariate Mendelian randomisation DOI Creative Commons
Hongyu Chu, Yi Zhong, Jiayi Zhao

и другие.

Journal of Global Health, Год журнала: 2025, Номер 15

Опубликована: Апрель 11, 2025

While numerous studies have investigated the link between behavioural factors and irritable bowel syndrome (IBS), causal relationships remain unresolved. This study applied Mendelian randomisation (MR) analysis to assess impact of specific on IBS risk. Bidirectional was employed evaluate A genome-wide significance threshold (P < 5e-6) identify associations genetic variants behaviour-related traits, ensuring robust selection instrumental variables for evaluating potential effects. Genetic correlations with were sourced from extensive association (GWASs). Various statistical methods estimate both univariate multivariate analyses investigate risk (IBS). The results indicated that body mass index (BMI) (odds ratio (OR) = 1.074; 95% confidence interval (CI) 1.025-1.125, P 0.031), insomnia (OR 1.986; CI 1.652-2.389, 0.001), duration mobile phone use 1.120; 1.018-1.232, 0.021), weekly usage time in past three months 1.148; 1.016-1.298, 0.021,) associated an increased IBS. In contrast, usual walking speed 0.756; 0.621-0.920, non-smoking status 0.779; 0.645-0.941, alcohol consumption 0.862; 0.743-0.999, 0.015) a reduced Furthermore, analysis, no statistically significant found BMI, pace, length use, smoking status. Weekly 1.439; 1.126-1.840, 0.0037,) 1.468; 1.076-2.003, 0.0156) identified as factors, while intake 0.813; 0.677-0.975, 0.0257) acted protective factor. insomnia, consumption, observed factors. Additionally, multivariable showed direct influence when considered simultaneously.

Язык: Английский

Процитировано

0
Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey (Preprint) DOI
Manal Almalki

Опубликована: Окт. 5, 2024

BACKGROUND The widespread use of smart devices, particularly among university students, has raised concerns about their impact on sleep quality. Bedtime usage devices is associated with disruptions and poor OBJECTIVE This study aimed to explore the behavioral perceptual factors influencing students’ intention stop using at bedtime in Saudi Arabia. METHODS A cross-sectional survey was conducted June 2024 distributed via social media platforms students (aged ≥18 years). questionnaire collected data demographics, device habits, perceived negative effects sleep, physical disturbances. Pittsburgh Sleep Quality Index used assess Path analysis performed evaluate relationships between outcome variables, intended usage, 3 latent variables: quality smartphone effects, during past month. Model fit assessed chi-square, comparative index, root mean square error approximation. RESULTS Of 774 participants, 90.43% (700/774) reported every night 72.48% (561/774) believed negatively affected them next morning. most frequently next-morning symptoms were fatigue or drowsiness (480/774, 62.01%). Common purposes for staying touch friends family (432/774, 55.81%), entertainment (355/774, 45.86%), filling up spare time (345/774, 44.57%). Overall, 58.26% (451/774) expressed an within months. demonstrated that frequent nightly (path coefficient=0.36) after-lights-off (0.49) positively stop, whereas spending ≥3 hours (–0.35) engaging multiple activities (–0.18) had associations. strongest predictors well-being (0.71) difficulty breathing comfortably (0.64). excellent (comparative index=0.845 approximation=0.039). CONCLUSIONS Perceived disturbances are strong Interventions improving hygiene should focus raising awareness addressing behaviors such as late-night heavy screen time. Public health strategies target both psychological physiological aspects improve this population.

Язык: Английский

Процитировано

0