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

Sleep quality and its associated factors among university students in Malawi DOI Creative Commons
Thokozani Mzumara, Owen Banda, George N. Chidimbah Munthali

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Abstract Background Mental, physical, and social well-being have an impact on sleep quality. University students are vulnerable to problems due academic pressure coupled with psychosocial problems. Aim This study aimed investigate quality identify its associated factors among university in Malawi. Method A cross-sectional was conducted using data collected from 984 across 13 institutions (private public) standardized questionnaire administered via Google Forms, assessing demographic factor variables. Descriptive statistics, Chi-square tests, logistic regression analyses were used explore examine possible associations between poor various factors. Results The revealed that 28.9% of experienced Gender (p=0.039) suicidal thoughts (p<0.001) significantly sleep. results analysis showed that, influence bad (p<0.001). However, not influenced by age, year study, level gender (p>0.05). Conclusion findings suggest mental health concerns, particularly thoughts, strongly linked highlight the need for targeted interventions address sleep-related issues promote students.

Язык: Английский

Процитировано

0
Sleep Quality and Its Contributing Factors Among Patients With Obesity: A Cross-Sectional Study DOI Open Access
Humza Saeed,

Ala Mohsen,

Ahmed T Alqayem

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

0
Promotion of Cardiovascular Health in Africa DOI Creative Commons
Mame Madjiguène Ka,

Ndiaga Matar Gaye,

Dzifa Ahadzi

и другие.

JACC Advances, Год журнала: 2024, Номер 3(12), С. 101376 - 101376

Опубликована: Ноя. 20, 2024

This proposed scientific statement is focused on providing new insights regarding challenges and opportunities for cardiovascular health (CVH) promotion in Africa. The includes an overview of the current state CVH Africa, with a particular interest cardiometabolic risk factors their evaluation through metrics. also explains main principles primordial prevention, its relevance reducing noncommunicable disease different strategies that have been effective worldwide. Also, addresses implementing prevention such as socioeconomic, cultural, lifestyle, environmental factors, highlights importance adapting to context. Finally, recommends fundamental approaches promoting help various partnerships involvement communities.

Язык: Английский

Процитировано

0
Relationship between sleep quality, sleep duration, heart rate, and step counts in young adults DOI Creative Commons
Halime Arıkan,

Adam Kara

Turkish Journal of Kinesiology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

It was aimed to explore the connections among sleep quality, heart rate, duration, quality of life, and step count in young adults. The study involved 116 adults, comprising 61 women 55 men. Sleep evaluated using Pittsburgh Quality Index (PSQI), count, energy expenditure were monitored with Fitbit® Inspire 2. life Nottingham Health Profile (NHP) Questionnaire. Correlation analysis performed either Pearson or Spearman correlation analysis. found no significant relationships between (p< 0.05). A very strong positive score both time asleep (r = 0.730) REM 0.743), as well a deep 0.454). Time had correlations 0.611) light 0.782), awake 0.438) 0.466). Awake also showed 0.585). Additionally, strongly correlated 0.519), observed section 1 NHP PSQI 0.649). These outcomes underscore complex interplay physical activity emphasize importance considering multiple factors when assessing health life.

Язык: Английский

Процитировано

0
Habitual and Demographic Determinants of Sleep Quality of Community Development College Students in Tanzania DOI Open Access
Joel Matiku Joshua

International Journal of Vocational Education and Training Research, Год журнала: 2024, Номер 10(2), С. 48 - 60

Опубликована: Дек. 13, 2024

This study intended to examine personal habits and demographic determinants of sleep quality in a sample 640 students the community development colleges Tanzania. Two questions guiding sought identify reported by college that are likely influence their quality; explain problems from variables Development students. Participants concurrently responded Sleep Quality Scale (SQS) Deprivation scale (SDS). Other items questionnaire assessed information participants presumed determine quality. Data were analyzed using techniques such as Principle Component Analysis (PCA), Pearson’s Moment Correlation Coefficient, Direct Logistic Regression with an assistance Statistical Package for Social Sciences (SPSS). It was found students’ uniquely explained number times one wakes up at night, level year study, deprivation sex. concluded is product multifaceted influences including sex differences daily habitual practices has been recommended policies should explicitly indicate it requirement participate fitness exercises, early hostels well late start studying schedules. In addition, consider establishing psycho-social counselling desks where educative programs on relationship mental health be taught.

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