Sleep Quality and Its Associations with Physical and Mental Health-Related Quality of Life among University Students: A Cross-Sectional Study

The Interplay of Sleep Quality, Mental Health, and Sociodemographic and Clinical Factors among Italian College Freshmen

Background/Objectives: Sleep and mental health are closely linked, with sleep deprivation increasing the risk of mental health problems in college students. This study aimed to analyze the role of sleep in the mental health status of a sample of Italian freshmen, considering various mental health outcomes and potential interactions between sleep and other relevant factors, such as sociodemographic characteristics, academic experiences, and mental health history. Methods: All freshmen from a medium-sized Italian university were invited to participate in a multidimensional online survey (n = 3756). Sleep quality was assessed through questions on average hours of sleep per night and on satisfaction of perceived sleep quality. Mental health outcomes included psychophysical well-being, psychological distress, substance use, and problematic internet use. Statistical analysis involved multivariate analysis of variance, followed by pairwise comparisons. Results: The sample (n = 721) exhibited low levels of well-being and a high prevalence of psychological distress (52.1%). Approximately one-third of students (n = 258) were dissatisfied with their sleep quality, and one-fourth (n = 186) reported inadequate sleep (less than 7 h per night). More specifically, 24.4% of students slept on average six hours per night, and 1.4% slept five hours or less. Satisfaction with perceived sleep quality significantly influenced well-being, psychological distress, and cannabis use (ηp2 = 0.02). Interaction effects were observed between satisfaction with sleep quality and drop-out intentions (ηp2 = 0.01), as well as between satisfaction with sleep quality and history of mental health diagnosis (ηp2 = 0.02), both of which were significant for psychological distress and cannabis use. Conclusions: This study highlights the influence of perceived sleep quality on academic distress among college freshmen, particularly those with higher intentions of leaving university and with a history of mental health diagnosis.

Predictors of adherence to a brief sleep extension protocol in emerging adults

OBJECTIVES

This study examined how mental health symptoms (i.e., depression, anxiety, stress) and baseline sleep characteristics (i.e., sleep quality and levels of daytime sleepiness) predicted adherence to and initial success of a brief sleep extension research protocol in emerging adults.

METHODS

184 emerging adults (ages 18-25; M = 20.96, SD = 2.04) were asked to extend their nightly sleep opportunity to 8 hr for 1 week and to anchor bedtime and waketime. Sleep outcomes (adherence and initial protocol success) were tracked using actigraphy. Baseline sleep quality, daytime sleepiness, depression, anxiety, and stress were assessed using self-report questionnaires.

RESULTS

Poorer baseline sleep quality predicted better adherence to the protocol (p = .002). Other baseline sleep characteristics and mental health were not predictive of adherence (ps>.50). Lower levels of baseline daytime sleepiness approached significance in predicting greater initial protocol success following the protocol (p = .05). Baseline sleep quality and mental health did not predict initial protocol success (ps > 0.34).

CONCLUSIONS

Mental health symptoms did not significantly predict adherence to or the success of a sleep extension protocol. Surprisingly, individuals with poor baseline sleep quality were more likely to adhere to the extension protocol, perhaps suggesting heightened motivation for change or increased risk for sleep problems. This research provides valuable insight into factors that predict adherence to sleep extension protocols in emerging adults.

Quality of life and quality of education among physiotherapy students in Europe

Background

The study of physiotherapy is challenging and can affect the students' well-being and quality of life. The aim of this study was to describe and compare factors that could affect well-being among students across Europe.

Methods

In this descriptive cross-sectional study using an online questionnaire survey, students of bachelor's physiotherapy programs from 23 European faculties, from 8 countries, were interviewed on mental health and stress burden, sleep quality, dietary habits, and physical activity.

Results

Although 75% of students rated their quality of life positively and 47% were satisfied with their mental health, 65% showed higher levels of stress and 51% described impaired sleep quality. The minimum physical activity of 150 min weekly was described by 79% of students, within which 67% engaged in strengthening twice a week. Students with a higher stress load/worse psychological health also showed worse sleep quality and lower amount of physical activity, women were significantly worse off. In terms of physical activity and sleep quality, students from Finland and Kosovo achieved the best results, while students from Italy, Greece, and Portugal achieved the worst. Students from Italy indicated the greatest dissatisfaction with the organisation of the study system and communication with teachers, while in Kosovo students rated the communication and study organisation the highest. All students had a problem with adhering to nutritional habits. Students from Italy and Spain, with the lowest body mass indexes and weight averages, were closest to the nutrition recommendations.

Conclusion

We demonstrated that physiotherapy students are burdened with stress, suffer from sleep disorders, and do not follow the recommendations regarding nutrition nor physical activity. There are significant differences between universities and countries in some aspects.

Challenges in measuring sleep quality among women with endometriosis: A comparison of two questionnaires

OBJECTIVE

This study aimed to underscore the issues associated with the dichotomization of categories in sleep questionnaires among women diagnosed with endometriosis and sleep disturbances, as well as their potential impact on the validity of the research findings.

BACKGROUND

A range of questionnaires is employed across settings from primary care to research to classify sleep disturbances. Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI) are two frequently utilized instruments for evaluating sleep. Nonetheless, these tools may produce divergent outcomes when applied to the same population.

METHODS

To evaluate the sleep quality of patients with deep endometriosis (DE), two self-administered questionnaires were utilized: ISI and PSQI. Patients rated their average pelvic pain over the preceding four weeks on a numeric rating scale (NRS) ranging from 0 to 10. Patients with an ISI score >14 or PSQI >5 were classified as poor sleepers, while the others as good sleepers.

RESULTS

Among the 161 patients who completed both sleep questionnaires, 129 (80 %) rated their subjective sleep quality as good. However, when the scores from the sleep questionnaires were analyzed, only 17 (11 %) patients were classified as good sleepers by the PSQI, whereas the ISI classified 83 (52 %) patients as good sleepers. When comparing the standardized scores, moderate to good reliability was found (intraclass correlation coefficient, 0.76; 95 % confidence interval, 0.69-0.82).

CONCLUSION

Both questionnaires yield consistent scores that seem comparable in women with DE; however, the cutoff values seem inadequate for this population. Therefore, we can probably rely on both questionnaire scores, yet their recommended cutoff values should be approached with caution.

The role of lifestyle and mental health in the weight change of higher vocational college students in Fuzhou, China during COVID-19

Objectives

This study is aimed to explore the influence of higher vocational college students' lifestyle and mental health on weight change in Fuzhou during COVID-19.

Methods

This study adopted the cross-sectional study method and a total of 1426 students (1111 women and 315 men) were recruited from higher vocational college in Fuzhou. The questionnaire mainly included six dimensions: demographic characteristics, anthropometric measurements, dietary habits, physical activity, sleep quality and psychological status.

Results

According to the weight changes, the group was divided into weight loss group, constant weight group and weight gain group. More people in the weight gain group had increased their intake of various foods compared to the other groups (P < 0.001), in addition, the number of physical activity decreased and basically unchanged was more, and the number of sedentary time increased and basically unchanged was more in the three groups(P < 0.001). The incidence of poor sleep quality (60.3 %, 46.9 %, 57.5 %, P < 0.001), depressive symptoms (58.9 %, 47.5 %, 62.0 %, P < 0.001) and anxiety symptoms (42.5 %, 35.8 %, 45.3 %, P = 0.005) in the weight loss group and the weight gain group were significantly higher than those in the constant weight group. After adjusting for the potential confounders (including age, sex, grade, smoking, drinking, diet, etc.), decreased physical activity, depressive symptoms and anxiety symptoms were independent risk factors for weight gain compared with the constant weight group(OR = 1.643, P = 0.046; OR = 1.695, P < 0.001; OR = 1.389, P = 0.020).

Conclusions

The increased food intake, decreased physical activity, depressive symptoms and anxiety symptoms were positively correlated with weight gain.

The relationship between academic stress and depression among college students during the COVID-19 pandemic: a cross-sectional study from China

BACKGROUND

The COVID-19 pandemic is a global public health crisis. During the COVID-19 pandemic, mental health has attracted great attention. However, there is a lack of research on the relationship between academic stress and depression in Chinese college students and its mechanisms. Therefore, this study investigated the mechanisms of coping style, sleep quality, and interpersonal relationship in academic stress and depression among college students.

METHODS

The cross-sectional study was conducted from May to June 2022 through face-to-face questionnaires with college students in Anhui Province, China. The questionnaires included sociodemographic information, the Simplified Coping Style Questionnaire, and the Self-Rating Depression Scale. Ordered logistic regression model was used to study the relationship between academic stress and depression of college students during the COVID-19 pandemic through the mechanism analysis of coping style, sleep quality and interpersonal relationship.

RESULTS

Two thousand thirty-three Chinese college students participated in the study, including 1,285 female and 748 male college students, with an average age 19.81 years old (SD = 1.22 years old). The results showed that (1) Academic stress had a significant impact on depression in college students under the background of COVID-19 (p < 0.01); (2) The influence of academic stress on depression had a difference in work experience as student cadres, which showed that college students who had served as student cadres were less affected by academic stress (p < 0.10), college students who had not served as student cadres were greatly affected by the academic stress (p < 0.05); (3) College students' attitudes toward COVID-19 significantly affected depression (p < 0.01); (4) Counselors' concern had a significant impact on college students' depression (p < 0.01); (5) Positive coping style, high quality sleep and good interpersonal relationship were the important mechanisms of the impact of academic stress on college students' depression.

CONCLUSIONS

This study provides new findings for in-depth understanding of the relationship between academic stress and depression among college students in China during the COVID-19 pandemic, which is conducive to the provision of targeted intervention measures for the mental health of college students.

The associations between academic stress and depression among college students: A moderated chain mediation model of negative affect, sleep quality, and social support

BACKGROUND

Growing competition in tight job market and academic excellence as a social norm in Asian culture have made Chinese college students burdened with immense academic stress.

OBJECTIVES

This study aimed to explore the associations between academic stress and depression, and the mediating roles of negative affect and sleep quality, as well as the moderating role of social support in the relationship between negative affect and sleep quality.

METHODOLOGY

A convenience sample of 221 male and 479 female college students aged between 17 and 25 completed questionnaires on academic stress, depression, negative affect, sleep quality and social support.

RESULTS

Results indicated that academic stress could not only directly affect depression (b = 0.31, p < 001), but also affect depression through the mediation role of negative affect and sleep quality. The chain mediating effects includes three paths, namely, the mediating role of negative affect (indirect effect = 0.21, percentage of total effect = 69.58 %), the mediating role of sleep quality (indirect effect = 0.06, percentage of total effect = 21.03 %), and the chain mediating role of negative affect and sleep quality (indirect effect = 0.06, percentage of total effect = 19.86 %). Social support moderated the adverse influence of negative affect on sleep quality. Social support decreases the impact of negative affect on sleep quality. Specifically, the association between negative affect and sleep quality was stronger for college students with low (bsimple = 0.44, p < 0.001) social support than those with high (bsimple = 0.32, p < 0.001) social support.

IMPLICATIONS

The results advanced our understanding of how academic stress affects college students' depression. These findings provide implications on the cultivation of stress coping strategies, promotion of emotion regulation skills, exaltation of sleep quality, and improvement of the social support level aiming for future depression preventions and interventions. Specific measures include setting up psychological health courses, teaching emotion management strategies, and establishing web-based programme steming from acceptance and commitment therapy. It should be noted that the cross-sectional design means the causal associations among the variables could not be determined.

Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students

Background

College students report disturbed sleep patterns that can negatively impact their wellbeing and academic performance.

Objectives

This study examined the effect of a 4-week sleep hygiene program that included sleep education and actigraph sleep trackers (FITBITs) on improving sleep quality and reducing psychological worry without control group.

Design settings and participants

A pilot quasi-experimental design, participants were randomly selected medical and health sciences from a university students in the United-Arab-Emirates.

Methods

Students were asked to wear FITBITs and log their daily sleep data and completed the Pittsburgh Sleep Quality Index (PSQI) and Penn State Worry Questionnaire (PSWQ). Extensive sleep hygiene education was delivered via lectures, a WhatsApp group, and the Blackboard platform. In total, 50 students completed pre-and post-assessments and returned FITBIT data.

Results

There was a significant difference in the prevalence of good sleep postintervention compared with pre-intervention (46% vs. 28%; p = 0.0126). The mean PSQI score was significantly lower post-intervention compared with pre-intervention (6.17 ± 3.16 vs. 7.12.87; p = 0.04, Cohen's d 0.33). After the intervention, subjective sleep quality, sleep latency, and daytime dysfunction were significantly improved compared with pre-intervention (p < 0.05). In addition, FITBIT data showed total sleep time and the number of restless episodes per night were significantly improved postintervention compared with pre-intervention (p = 0.013). The mean PSWQ score significantly decreased from pre-intervention to p = 0.049, Cohen' d = 0.25. The correlation between PSQI and PSWQ scores was significant post-intervention (β = 0.40, p = 0.02).

Conclusion

Our results may inform university educational policy and curricular reform to incorporate sleep hygiene awareness programs to empower students and improve their sleep habits.

Coping with the COVID-19 pandemic: A cross-sectional study to investigate how mental health, lifestyle, and socio-demographic factors shape students' quality of life

PURPOSE

The high prevalence of COVID-19 has had an impact on the Quality of Life (QOL) of people across the world, particularly students. The purpose of this study was to investigate the social, lifestyle, and mental health aspects that are associated with QOL among university students in Lebanon.

METHODS

A cross-sectional study design was implemented using a convenience sampling approach. Data collection took place between November 2021 and February 2022, involving 329 undergraduate and graduate students from private and public universities. Quality of life was assessed using the Quality-of-Life Scale (QOLS). Descriptive statistics, Cronbach's alpha, and linear regression-based methods were used to analyze the association between QOL and socio-demographic, health-related, lifestyle, and mental health factors. The significance level for statistical analysis was predetermined at α = 0.05.

RESULTS

The study participants' average (SD) QOL score was 76.03 (15.6) with a Cronbach alpha of 0.911. QOL was positively associated with importance of religion in daily decisions (β = 6.40, p = 0.006), household income (β = 5.25, p = 0.017), general health ratings (β Excellent/poor = 23.52, p <0.001), access to private counseling (β = 4.05, p = 0.020), physical exercise (β = 6.67, p <0.001), and a healthy diet (β = 4.62, p = 0.026); and negatively associated with cigarette smoking (β increased = -6.25, p = 0.030), internet use (β ≥4 hours = -7.01, p = 0.005), depression (β = -0.56, p = 0.002) and stress (β = -0.93, p <0.001).

CONCLUSION

In conclusion, this study reveals the key factors that positively and negatively influence students' quality of life (QOL). Factors such as religion, higher income, and a healthy diet improve QOL, while depression, stress, excessive internet use, and cigarette smoking negatively impact it. Universities should prioritize initiatives like physical activity promotion, affordable nutritious options, destigmatizing mental health, counseling services, and self-help interventions to support student well-being and enhance their QOL.

Associations between Stress, Anxiety, Depression and Sleep Quality among Healthcare Students

OBJECTIVES

Stress, anxiety, and depression among students have many negative health consequences and may predispose students to poor sleep quality; therefore, this research aimed to investigate the perceived stress, anxiety, and depression and their relation to the level of sleep quality among healthcare students.

METHODS

A cross-sectional study using a validated survey was conducted among Saudi healthcare students from different regions during the period from 26 September 2022 to 30 October 2022. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep quality. PSPP Statistical Analysis Software version 1.2.0 was used for all statistical analyses.

RESULTS

701 respondents participated in this research; the response rate was 73.8%. About 60% of the study sample was female, and the average age was 20.9 years. 80.3% of students have poor sleep quality; the participants' mean sleeping hours per night was 6.81 ± 1.88 h. About three-quarters of students (72.9%) perceive themselves as stressed. A significant positive correlation was observed between sleep quality and perceived stress (r-value = 0.363), anxiety (r-value = 0.387), and depression (r-value = 0.347). Poor sleep quality was more likely among those with stress than those without stress (AOR = 1.79; 95% CI 1.07, 2.99) and two times more likely among students with cases of anxiety than those without anxiety (AOR = 2.07; 95% CI 1.10, 3.94).

CONCLUSIONS

Our study highlights the high prevalence of poor sleep quality, anxiety, depression, and stress among healthcare students in Saudi Arabia. Students' reported stress, anxiety, and residence region were associated with poor sleep quality. These results imply the necessity of regular screening and appropriate intervention for sleep problems, stressors, and anxiety among healthcare students.

A clinical and technical methodological review on stress detection and sleep quality prediction in an academic environment

BACKGROUND

Mental health in recent times is a much talked about topic and its effects on the sleep health of the students are said to result in long-term health issues if not identified and resolved. Students who are subjected to psychological stress have often been reported to have lower sleep quality which together has affected the academic performance of the students.

OBJECTIVE

While stress has its adverse effect on students'quality of sleep, an effort is also made to identify standard techniques and tools to automatically assess stress levels and sleep quality in a non-invasive environment among students only. This article mainly focuses on the Clinical and technical methodology employed in stress level detection and sleep quality prediction among students.

METHODS

This study was conducted by examining all research studies conducted in the past with respect to students in an academic setting from year 2000 to early 2022. The papers under study where finalised based on different methodologies involved in stress level detection and sleep quality prediction considering both in unimodal and multimodal measurements.

RESULTS

While questionnaires and physiological signals are used as a standard measuring tool, it is mostly used in a unimodal environment to measure students' mental stress or sleep quality in academic settings.

CONCLUSION

This paper describes in detail the clinical aspect of the association between mental stress, sleep quality, and academic performance in students followed by technical aspects to analyse the stress levels and sleep quality both qualitatively and quantitatively in an academic environment.

Associations between self-reported sleep patterns and health, cognition and amyloid measures: results from the Wisconsin Registry for Alzheimer's Prevention

Previous studies suggest associations between self-reported sleep problems and poorer health, cognition, Alzheimer's disease pathology and dementia-related outcomes. It is important to develop a deeper understanding of the relationship between these complications and sleep disturbance, a modifiable risk factor, in late midlife, a time when Alzheimer's disease pathology may be accruing. The objectives of this study included application of unsupervised machine learning procedures to identify distinct subgroups of persons with problematic sleep and the association of these subgroups with concurrent measures of mental and physical health, cognition and PET-identified amyloid. Dementia-free participants from the Wisconsin Registry for Alzheimer's Prevention (n = 619) completed sleep questionnaires including the Insomnia Severity Index, Epworth Sleepiness Scale and Medical Outcomes Study Sleep Scale. K-means clustering analysis identified discrete sleep problem groups who were then compared across concurrent health outcomes (e.g. depression, self-rated health and insulin resistance), cognitive composite indices including episodic memory and executive function and, in a subset, Pittsburgh Compound B PET imaging to assess amyloid burden. Significant omnibus tests (P < 0.05) were followed with pairwise comparisons. Mean (SD) sample baseline sleep assessment age was 62.6 (6.7). Cluster analysis identified three groups: healthy sleepers [n = 262 (42.3%)], intermediate sleepers [n = 229 (37.0%)] and poor sleepers [n = 128 (20.7%)]. All omnibus tests comparing demographics and health measures across sleep groups were significant except for age, sex and apolipoprotein E e4 carriers; the poor sleepers group was worse than one or both of the other groups on all other measures, including measures of depression, self-reported health and memory complaints. The poor sleepers group had higher average body mass index, waist-hip ratio and homeostatic model assessment of insulin resistance. After adjusting for covariates, the poor sleepers group also performed worse on all concurrent cognitive composites except working memory. There were no differences between sleep groups on PET-based measures of amyloid. Sensitivity analyses indicated that while different clustering approaches resulted in different group assignments for some (predominantly the intermediate group), between-group patterns in outcomes were consistent. In conclusion, distinct sleep characteristics groups were identified with a sizable minority (20.7%) exhibiting poor sleep characteristics, and this group also exhibited the poorest concurrent mental and physical health and cognition, indicating substantial multi-morbidity; sleep group was not associated with amyloid PET estimates. Precision-based management of sleep and related factors may provide an opportunity for early intervention that could serve to delay or prevent clinical impairment.

Relationship of sleep duration and sleep quality with health-related quality of life in patients on hemodialysis in Neyshabur

Background

As a public health priority, health-related quality of life (HRQoL) is associated with some factors like sleep disorders. Taking this into consideration, this study aimed at investigating the relationship between sleep duration and sleep quality with HRQoL in patients on hemodialysis.

Methods

This cross-sectional study was carried out among 176 patients on hemodialysis who were admitted to the dialysis ward of 22 Bahman hospital and a private renal clinic in Neyshabur (a city in North-East of Iran) in 2021. Sleep duration and quality were measured using an Iranian version of Pittsburgh Sleep Quality Index (PSQI) and HRQoL was evaluated with the Iranian version of a 12-Item Short Form Survey (SF-12). To analyze the data and examine the independent association of sleep duration and quality with HRQoL, multiple linear regression model was performed.

Results

The mean age of the participants was 51.6 ± 16.4 and 63.6% were male. Moreover, 55.1% and 5.7% of subjects reported a sleep duration shorter than 7 h and equal to or more than 9 h, respectively, and the value prevalence of poor sleep quality was reported as 78.2%. Furthermore, the reported overall score of HRQoL was 57.6 ± 17.9. According to the adjusted models, poor sleep quality was negatively associated with the total HRQoL score (B = -14.5, P < 0.001). Shedding light on sleep duration and Physical Component Summary (PCS), the result indicated that insufficient sleep duration (<7 h) had a borderline negative association with PCS (B = -5.96, p = 0.049).

Conclusions

Sleep duration and quality have important effects on HRQoL in patients on hemodialysis. Therefore, in line with improving sleep quality and HRQoL among these patients, essential interventions should be planned and performed.

Insomnia, Daytime Sleepiness, and Quality of Life among 20,139 College Students in 60 Countries around the World-A 2016-2021 Study

Background: Sleep disorders are a widespread phenomenon, and the number of individuals suffering from them is increasing every year, especially among young adults. Currently, the literature lacks studies that cover both countries with different levels of development and a period before the announcement of the ongoing COVID-19 pandemic. Therefore, this study aims to globally assess the prevalence of insomnia and daytime sleepiness among students and assess their quality of life. Methods: For this purpose, our own questionnaire was distributed online via Facebook.com. In addition to the questions that assessed socioeconomic status, the survey included psychometric tools, such as the Athens insomnia scale (AIS), the Epworth sleepiness scale (ESS), and the Manchester short assessment of the quality of life (MANSA). The survey distribution period covered 31 January 2016 to 30 April 2021. Results: The survey involved 20,139 students from 60 countries around the world. The vast majority of the students were women (78.2%) and also those residing in countries with very high levels of development and/or high GDP (gross domestic product) per capita at 90.4% and 87.9%, respectively. More than half (50.6%) of the respondents (10,187) took the survey before the COVID-19 pandemic was announced. In the group analyzed, 11,597 (57.6%) students obtained a score indicative of insomnia and 5442 (27.0%) a score indicative of daytime sleepiness. Women, low-income residents, and nonmedical students were significantly more likely to have scores indicating the presence of insomnia. Individuals experiencing both sleepiness (B = −3.142; p < 0.001) and daytime sleepiness (B = −1.331; p < 0.001) rated their quality of life significantly lower. Conclusions: Insomnia and excessive daytime sleepiness are common conditions among students worldwide and are closely related. The COVID-19 pandemic significantly altered students’ diurnal rhythms, which contributed to an increase in insomnia. Students in countries with a high GDP per capita index are significantly less likely to develop insomnia compared to the residents of countries with a low GDP per capita index. Sleep disorders definitely reduce the quality of life of students.

Üniversite Öğrencilerinde Vücut Kompozisyonu ve Antropometrik Ölçümlerin Uyku Süresi ve Uyku Kalitesiyle İlişkisi

Amaç: Bu çalışmada üniversite öğrencilerinde vücut kompozisyonu ve antropometrik ölçümlerin uyku süresi ve uyku kalitesiyle ilişkisinin incelenmesi amaçlanmıştır.Yöntem: Kesitsel tipteki çalışma bir fakültede öğrenim gören, araştırmaya katılmayı kabul eden ve dahil edilme kriterlerini karşılayan Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri Fakültesinin 310 öğrencisiyle yürütülmüştür. Araştırmanın verileri Tanıtıcı Bilgi Formu ve Pittsburg Uyku Kalitesi İndeksi’ni içeren anket formu kullanılarak yüz yüze görüşme yöntemiyle toplanmıştır. Öğrencilerin vücut kompozisyonlarının belirlenmesinde Biyoelektrik İmpedans Analizi (BİA) ile yağsız vücut kütlesi, vücut yağ ve kas kütlesi incelenmiş, Beden Kütle İndeksi (BKİ), bel çevresi, Bel Kalça Oranı (BKO), Bel Boy Oranı (BBO) ve triseps, supskapular, biseps, suprailiak Deri Kıvrım Kalınlıkları (DKK) değerlendirilmiştir. Verilerin analizinde sayı, yüzde, ortalama, standart sapma, Student’s t testi ve Pearson korelasyon analizi kullanılmıştır.Bulgular: Öğrencilerin uyku süresi ortalama 7,10±1,66 saattir, %74,8’i kötü uyku kalitesine sahiptir. Her iki cinsiyette yağsız vücut kütlesi (kg) ve vücut kas kütlesi (kg) ile uyku kalitesi skoru arasında istatistiksel olarak anlamlı, negatif yönlü zayıf ilişki, erkek öğrencilerde ise suprailiak DKK ve biseps DKK ile uyku kalitesi arasında istatistiksel olarak anlamlı, pozitif yönlü zayıf ilişki saptanmıştır (p&lt;0,05).Sonuç: Üniversite öğrencilerinin uyku süreleri önerilen düzeydedir, buna karşın öğrencilerin dörtte üçü kötü uyku kalitesine sahiptir. Kız ve erkek öğrencilerde yağsız vücut kütlesi (kg) ve vücut kas kütlesi (kg) azaldıkça uyku kalitesi kötüleşmekte, erkek öğrencilerde ise suprailiak DKK ve biseps DKK arttıkça uyku kalitesi kötüleşmektedir.  

Developing and validating a university needs instrument to measure the psychosocial needs of university students

BACKGROUND

University students are four times more likely to experience elevated levels of psychological distress compared to their peers. The psychosocial needs of university students are associated with high psychological distress, stressful life events, and academic performance. Our study focuses on developing a measure to help universities identify these psychosocial needs.

AIMS

The study aimed to develop and validate the factor structure of the University Needs Instrument and identify the relationship between psychosocial needs, psychological distress and academic performance among university students.

SAMPLE

Undergraduate university students (N = 511) currently studying at university.

METHOD

Participants completed demographic questions, the University Needs Instrument and the Kessler-10 Psychological Distress scale. The University Needs Instrument comprises 30 items within six psychosocial factors (academic support, financial support, support from family, support from friends, practical support and emotional support), each consisting of five items.

RESULTS

Confirmatory factor analysis showed that all items significantly loaded on the six hypothesized factors. The hypothesized model was supported by the data displaying excellent model fit and psychometric properties. Our analysis determined that the UNI has strong internal consistency. The results also confirmed that university students' high levels of psychological distress and their academic performance may be affected by their psychosocial needs.

CONCLUSIONS

Our findings have provided an initial validation of the UNI to help screen and identify the psychosocial needs of university students. This scale can be used to identify the appropriate psychosocial support that can be offered to students and in turn could help reduce their psychological distress, improve their psychosocial well-being and increase academic performance.

Perceived Past and Current COVID-19-Stressors, Coping Strategies and Psychological Health among University Students: A Mediated-Moderated Model

The COVID-19-pandemic entailed abrupt/long-lasting changes in university students' lives, resulting in growing stress and stress-related outcomes. Although nowadays the pre-pandemic-life is gradually re-establishing, past-COVID-19-stressful experiences and strategies adopted to adjust to this condition may significantly impact students' current experiences. Therefore, the development of research exploring the complex interplay between perceived past/present COVID-19-related experiences, coping strategies, and psychological health currently reported by students is needed. This study simultaneously tests the associations between Past-COVID-19-stressors and Current-COVID-19-stressors as moderated by Coping Strategies and the associations between Past-COVID-19-stressors and Psychological Symptoms as mediated by Current-COVID-19-stressors. A mediated-moderated model was tested on 355 university students. COVID-19-Student-Stress-Questionnaire (CSSQ) was used to assess COVID-19-stressors. Two CSSQ-versions were used, one of which was adjusted to assess Past-COVID-19-stressors recalled from previous restrictive pandemic phases. Coping-Orientation-to-Problem-Experienced-New-Italian-Version and Symptom-Checklist-90-Revised were used to assess, respectively, Coping Strategies and Psychological Symptoms. Findings confirmed the hypothesized Mediated-Moderated Model. The effects of Past-COVID-19-stressors on Current-COVID-19-stressors were moderated by Coping Strategies, and the effects of Past-COVID-19-stressors on Psychological Symptoms were mediated by Current-COVID-19-stressors. Unique psychopathological risk profiles deriving from the interplay between specific past/present stressors and coping strategies were found. Researchers and clinicians can use these findings to develop updated research and timely evidence-based interventions fostering students' adjustment in the current period. Future research should further explore the impact of the complex interplay between perceived past/present COVID-19-related experiences and individual characteristics on psychological health conditions reported by people in the aftermath of the COVID-19 pandemic.

Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis

Insomnia is a widespread sleep disorder associated with physical and mental health conditions. Although the heterogeneity of insomnia presentations has been acknowledged, research investigating clinically meaningful insomnia subtypes is still ongoing. This study aimed at exploring insomnia subtypes according to widely-used measures of symptoms severity and sleep quality among Italian university students using a latent profile analysis. Data were collected from 490 students reporting relevant insomnia symptoms through an online cross-sectional survey comprising the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the 21-item Depression Anxiety Stress Scale, and the Short Form-12. Latent profile analysis identified five insomnia subtypes. The severe insomnia (8.8%) group showed the highest insomnia severity, with diverse complaints concerning sleep quality and daytime functioning. Moderate insomnia with sleep duration complaints (8.4%) and moderate insomnia with medication use (15.9%) subgroups were characterized by middle range insomnia severity, with problems of sleep continuity and sleep medication use, respectively. Subthreshold insomnia with sleep latency complaints (20.4%) and subthreshold insomnia (46.5%) groups showed attenuated insomnia symptoms. Higher psychological complaints and worse quality of life were associated with greater sleep complaints. Overall, these findings highlight the relevance of sleep quality domains in identifying insomnia subtypes and might help optimize insomnia treatments.

The relationship between mental and physical health: a longitudinal analysis with British student

Purpose

Previous studies in the field have highlighted a bidirectional link between mental health and physical health. Students may be at a higher risk of both mental and physical health problems because of unhealthy lifestyle behaviours and the commencement of university occurring at the same mean age of onset for many psychiatric disorders. This study aims to examine how physical health variables influence changes in mental health symptoms, and vice versa, over time, in a sample of British undergraduate students.

Design/methodology/approach

A longitudinal design over a one-year time period. A national sample of 430 British undergraduate students completed measures of mental health and physical health online at up to four time-points across their first two years of university.

Findings

General physical health and energy and fatigue predicted more severe depression, anxiety, stress and poorer general mental health over time. Depression and stress predicted poorer physical functioning over time. Greater anxiety predicted poorer general health and more severe pain over time. General mental health was not predictive of general physical health. Overall, poor general physical health appears to exacerbate mental health symptoms in students to a greater extent than mental health problems lead to a deterioration in physical health.

Originality/value

This study adds a longitudinal design to a field that is usually cross-sectional, as well as a lack of consideration of how this relationship may differ within student samples. Early interventions should integrate physical and mental well-being rather than focus on any single health-related behaviour.