Self-reported sleep quality and mental health mediate the relationship between chronic diseases and suicidal ideation among Chinese medical students

Gui, Zhen; Sun, Long; Zhou, Chengchao

doi:10.1038/s41598-022-23207-8

Cited by 11 publications

(8 citation statements)

References 64 publications

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“…This observation substantiates the findings in various earlier studies [78,80], which postulated that insufficient sleep significantly contributes to the onset and progression of chronic diseases. In emphasizing sleep disorders as an augmented risk factor in the twenty-first century, our results are consistent with contemporary research [73].…”

Section: Discussionsupporting

confidence: 90%

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Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Bousgheiri,

Allouch,

Sammoud

et al. 2024

Diseases

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Poor sleep quality, a global public health concern, poses a significant burden on individuals, particularly health care university students facing intense academic stress. A three-center cross-sectional study was conducted at the Higher Institute of Nursing and Health Sciences in Tetouan (Morocco), Faculty of Medicine in Tangier (Morocco) and Faculty of Nursing in Valencia (Spain). We collected various data using a sociodemographic questionnaire, the Pittsburgh sleep quality questionnaire, the international physical activity questionnaire (IPAQ) and the smartphone addiction questionnaire short-version (SAS-SV). A total of 1210 students were included in our study (mean age 20.4 years, 67.2% female, nursing students (66.2%) and medical students (33.8%), 76.1% students from Morocco and 33.9% from Spain). Analysis revealed a higher prevalence of poor sleep quality among Moroccans students compared to Spanish ones (p < 0.001), that nursing students showed less favorable sleep quality than medical students (p < 0.011) and that living with a chronic disease was linked to less favorable sleep quality (p < 0.001). Lastly, intense or weak physical activity and smartphone addiction were correlated with poor sleep quality (p < 0.001). In the multivariate analysis, an association persisted between poor sleep quality and factors such as the country of study (Odds ratio (OR): 6.25 [95% Confidence Interval (CI): 4.34–9.09]), involvement in nursing studies (OR: 3.50 [95% CI: 2.36–5.27]), and the presence of chronic diseases (OR: 2.70 [95% CI: 1.72–4.16]), (p < 0.01 each). Our findings highlight the multifaceted factors affecting sleep quality in young university students. The implications underscore the imperative of interventions tailored to this demographic group.

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Section: Discussionsupporting

confidence: 90%

“…Chronic health conditions are associated with poor sleep patterns and less sleep overall [72][73][74]. These include chronic lung diseases, asthma, acid reflux, kidney disease, cancer, fibromyalgia and chronic pain [31][32][33][34]75].…”

Section: Discussionmentioning

confidence: 99%

Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Bousgheiri,

Allouch,

Sammoud

et al. 2024

Diseases

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“…The fact that young adult males are at higher risk of suicidal ideation has lately gained traction (Lima et al, 2021; Yarar et al, 2023). These can be better understood in light of the more extensive use of statistical tools, taking into account multiple variables simultaneously, and thus examining the corrected weights of gender on suicidal ideation (Gui et al, 2022), although cultural differences need to be thoroughly assessed, as they can shift the weights in favour of males or females (Kaggwa et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Frequency and machine learning predictors of depressive, anxiety, obsessive-compulsive symptoms, and suicidal ideation among university students

Meda

Pardini

Rigobello

et al. 2023

Preprint

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Introduction Prospective studies on mental health of students showed that young adults enroled in university are affected by poorer mental health than other working peers or adults, and this condition is responsible for a large proportion of disability-adjusted life-years Methods We enrolled 1388 students at the baseline (and 557 completed follow-up after six months) who reported their demographic information and completed self-report questionnaires on depressive, anxiety and obsessive-compulsive symptoms. We applied multiple regression modelling and supervised machine learning to evince associations and predict the risk factors of poorer mental health at baseline and follow-up Results Approximately one out of five students reported severe depressive symptoms and/or suicidal ideation. An association of economic worry with depression was evidenced at the beginning of the study (when there was a high frequency of worry OR = 3.11 [1.88 - 5.15]) and during followup.Supervised machine learning exhibited high accuracy in predicting the students who maintained well-being (balanced accuracy = 0.85) or absence of suicidal ideation, but its performance was almost null in identifying those whose symptoms worsened. Conclusions Students' severe mental health problems are reaching worrying percentages, and few demographic factors can be leveraged to predict poor mental health outcomes. Further research including people with lived experience is crucial to assess students' needs and improve the prediction of those at risk of developing worse symptoms.

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“…This study also supported that worse mental health was positively related to being male, older age, physical disease, and bad parental relationship. As all these factors had been identified in many previous studies [ 54 , 55 ]; these factors were not discussed here. This study also supported that males scored lower in all the five-factor personality dimensions than females.…”

Section: Discussionmentioning

confidence: 99%

Five-Factor Personality Dimensions Mediated the Relationship between Parents’ Parenting Style Differences and Mental Health among Medical University Students

Yao

Sun

2023

IJERPH

Self Cite

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Background: Previous studies have identified the relationships between parental parenting style, personality, and mental health. However, the interactive influences between mother’s and father’s parenting styles on personality have been examined less often. To fill the gaps, the first aim of this study was to build the relationships between parental parenting style differences (PDs) and five-factor personality dimensions. The second aim was to test the mediating effect of five-factor personality dimensions on the relationships between parental parenting style differences and mental health. Methods: This is a cross-sectional study conducted among medical university students, and 2583 valid participants were analyzed. Mental health was measured by the Kessler-10 scale. The Chinese Big Five Personality Inventory brief version (CBF-PI-B) was used to access five-factor personality dimensions. PD was calculated by the short form of Egna Minnen av Barndoms Uppfostran. Linear regressions were conducted to analyze the associations between PD and five-factor personality dimensions. The SPSS macros program (PROCESS v3.3) was performed to test the mediating effect of five-factor personality dimensions on the associations between PD and mental health. Results: Linear regressions found that worse mental health was positively associated with PD (β = 0.15, p < 0.001), higher neuroticism (β = 0.61, p < 0.001), lower conscientiousness (β = −0.11, p < 0.001), lower agreeableness (β = −0.10, p < 0.01), and lower openness (β = −0.05, p < 0.05). The results also supported that PD was positively associated with lower conscientiousness (β = −0.15, p < 0.01), lower agreeableness (β = −0.09, p < 0.001), lower openness (β = −0.15, p < 0.001), and lower extraversion (β = −0.08, p < 0.001), respectively. The mediating effect of agreeableness or openness was supported for the relationships between PD and mental health. Conclusion: These findings remind us of the importance of consistent parenting styles between mother and father, and they also can be translated into practices to improve mental health among medical university students.

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Self-reported sleep quality and mental health mediate the relationship between chronic diseases and suicidal ideation among Chinese medical students

Cited by 11 publications

References 64 publications

Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Frequency and machine learning predictors of depressive, anxiety, obsessive-compulsive symptoms, and suicidal ideation among university students

Five-Factor Personality Dimensions Mediated the Relationship between Parents’ Parenting Style Differences and Mental Health among Medical University Students

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