Study on lifestyle habits affecting sleep disorders at the undergraduate education stage in Xuzhou City, China

Perceptions of Medical Residents About Sleep Disorders and Sleep Medicine in Qassim Province, Saudi Arabia

Background Sleep disorders have increased drastically over the past few decades due to lifestyle, environmental, and geographical factors and individual high-level financial goals and requirements. The study aims to identify the prevalence of sleep disorders among Qassim residents and to determine the risk factors associated with sleep disorders. Methods A cross-sectional study was conducted among 150 Saudi Board residents of different postgraduate programs in Qassim Province using a self-administered questionnaire through Google Forms (Google, Inc., Mountain View, CA), and 105 participants responded. Data was analyzed using the SPSS version 21.0 (IBM Corp., Armonk, NY) and necessary statistical tests; the chi-square test was applied for sleep disorder symptoms and risk factors, with the prevalence of sleep disorder as a category. Results In our study, 43.8% (n=46) were men; the mean age and standard deviation in the study population was 28.30±2.77 years. Approximately 98.1% (n=103) of residents were aware of sleep disorders. About 82.9% (n=87) of residents were aware of breathing difficulty for a sleep disorder. Regarding symptoms of obstructive sleep apnea (OSA), hypersomnia and hyposomnia prevalence were 40% (n=42) and 41.9% (n=44), respectively. Concerning challenges, about 98.5% (n=68) believed that training is required to treat sleep disorders. About suggestions, 22.7% (n=10) stated that lifestyle modifications are required, and 20.5% (n=9) mentioned the establishment of sleep clinics. There was a statistically significant association observed between sleep disorder prevalence with sleepwalking, hypersomnia, and hyposomnia (P<0.05). Conclusions Based on the study findings, the Qassim Board residents' awareness of sleep disorders is excellent. More than two-fifths of residents (40% and 41.9%) had hypersomnia and hyposomnia symptoms, respectively. Most residents (98.5%) mentioned that training is required to treat sleep disorders as a challenge and suggested lifestyle modifications and sleep clinics.

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study

Objective

This study aims to establish the precise prevalence of sleep disorders among university students in Jiangsu Province. Utilizing a representative sample of students, we measured their sleep quality based on the Pittsburgh Sleep Quality Index (PSQI). Our objective is to quantitatively assess the magnitude of sleep quality and identify key factors. By detailed analysis of these relationships, our study seeks to provide actionable insights for the development of targeted interventions to enhance sleep quality within this population.

Methods

From October to November 2022, we conducted a cross-sectional web-based survey in Jiangsu Province, China. Using convenient cluster sampling in each college, a total of 8457 participants were selected. The PSQI was applied to assess sleep quality among university students. Data collected included sociodemographic details, scores from the Mobile Phone Dependence Index (MPAI) and psychological resilience measured by the Connor-Davidson Resilience Scale (CD-RISC).

Results

The overall prevalence of poor sleep quality among the participants was 39.30%. Binary logistic regression analysis revealed that higher physical activity (OR = 0.921; 95% CI: 0.779-1.090), earlier roommate bedtimes (OR = 0.799; 95% CI: 0.718-0.888), quieter dormitories (OR = 0.732; 95% CI: 0.647-0.828) and higher psychological resilience (OR = 0.982; 95% CI, 0.979-0.984) were protective factors linked to lower risk of poor sleep quality. Conversely, being a female student (OR = 1.238; 95% CI: 1.109-1.382), being a senior (OR = 1.582; 95% CI: 1.344-1.863), single-child status (OR = 1.195; 95% CI: 1.077-1.326), regular smoking (OR = 1.833; 95% CI: 1.181-2.847), regular alcohol consumption (OR = 1.737; 95% CI: 1.065-2.833), high academic stress (OR = 1.326; 95% CI: 1.012-1.736), high employment stress (OR = 1.352; 95% CI: 1.156-1.582), dissatisfaction with dormitory hygiene (OR = 1.140; 95% CI: 1.028-1.265), poor self-rated physical health (OR = 1.969; 95% CI: 1.533-2.529), poor self-rated mental health (OR = 2.924; 95% CI: 2.309-3.702) and higher mobile phone dependency were risk factors associated with an increased likelihood of poor sleep quality.

Conclusion

The sleep quality among university students should attract immediate attention. The development of public services and mental health education initiatives is crucial in enhancing the sleep health of this population.

The role of education attainment on 24-hour movement behavior in emerging adults: evidence from a population-based study

PURPOSE

The purpose of this study was to explore the relationship between education level and health behavior including sleep, work activity, exercise activity, and sedentary behavior among emerging adults.

METHODS

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) collected between 2007 and 2018. The study sample included 4,484 emerging adults aged 18-25 years and the weighted participants were 30,057,813. Weighted multivariable regression analysis was performed to investigate the association between education level and the aforementioned health behavior, adjusting for age, gender, race/ethnicity, marital status, poverty-income ratio, BMI, smoking, and alcohol drinking status.

RESULTS

This study revealed that higher education level was associated with shorter sleep duration [Fully adjusted model, β (95% CI): -0.588 (-0.929, -0.246), p < 0.001]. Additionally, those with higher education levels were more likely to allocate time in sedentary behavior [β (95% CI): 90.162 (41.087, 139.238), p < 0.001]. Moreover, higher education level was related to less work activity [β (95% CI): -806.991 (-1,500.280, -113.703), p = 0.023] and more exercise activity time [β (95% CI): 118.196 (-21.992, 258.385), p = 0.097]. Subgroup analysis further verified this trend and detected that males with higher education level tended to participate in less work activity [β (95% CI): -1,139.972 (-2,136.707, -143.237), p = 0.026] while females with higher education level tended to engage in more exercise activity [Fully adjusted model, β (95% CI): 141.709 (45.468, 237.950), p = 0.004].

CONCLUSION

This study highlighted the importance of education level as a significant factor in promoting healthy behavior among emerging adults. The findings underscored the need for the Ministry of Education to prioritize educating this demographic about the significance of maintaining adequate sleep patterns and reducing sedentary habits. Encouraging them to allocate more time for work and physical activities can significantly contribute to their overall wellbeing and success, ultimately fostering a healthier next generation.

Psychological resilience buffers the association between cell phone addiction and sleep quality among college students in Jiangsu Province, China

BACKGROUND AND AIMS

Excessive use of cell phones can take up college students' time and energy, and the sleep quality will inevitably be affected. A high level of psychological resilience can help them to maintain a positive attitude and cope with stressful events. However, few studies were conducted to investigate the effects of psychological resilience buffering cell phone addiction on sleep quality. In our hypothesis, psychological toughness would mitigate the worsening impact of cell phone addiction on sleep quality.

METHODS

The sample consisted of 7,234 Chinese college students who completed an electronic questionnaire that included demographic characteristics, such as the Mobile Phone Addiction Index (MPAI), the Psychological Resilience Index (CD-RISC), and the Pittsburgh Sleep Quality Index (PSQI). SPSS 26.0 was used for data analysis, the measurement data were described by x ¯ ± s for those conforming to normal distribution, and the comparison of means between groups was analyzed by group t-test or one-way ANOVA. Those that was not conforming to normal distribution were described by median M (P ₂₅, P ₇₅), and the comparison of M between groups was analyzed by Mann-Whitney U test and Kruskal-Wallis H test. Using Spearman correlation analysis, the associations between mobile phone addiction, psychological resilience, and sleep quality were evaluated. Using SPSS Process, the mediating role of psychological resilience was examined.

RESULTS

The mean scores of cell phone addiction and psychological resilience were 45.00 (SD = 13.59) and 60.58 (SD = 18.30), respectively; the sleep quality score M (P ₂₅, P ₇₅) was 5.0 (3.0, 7.0). Cell phone addiction among college students had a direct predictive effect on sleep quality (β = 0.260, P < 0.01), and psychological resilience had a negative correlation with both cell phone addiction and sleep quality (β = -0.073, P < 0.01, and β = -0.210, P < 0.01). Psychological resilience was responsible for a mediating effect value of 5.556% between cell phone addiction and sleep quality.

CONCLUSION

Cell phone addiction has an impact on sleep quality both directly and indirectly through the mediating effect of psychological resilience. Increased psychological resilience has the potential effect to buffer the exacerbating of cell phone addiction on sleep quality. These findings provide an evidence for cell phone addiction prevention, psychological management, and sleep improvement in China.