Short sleep duration and smoking initiation in university students: a retrospective cohort study.

PURPOSE: The aim of this study was to clarify an association between short sleep duration and smoking initiation. METHODS: Participants eligible for this retrospective cohort study were university students who were admitted to a single national university in Japan between 2007 and 2015. Baseline sleep duration and smoking status were measured using general questionnaires at health checkups at admission. During a 6-year observation period, smoking initiation was assessed using general questionnaires at annual health checkups. Cox proportional hazards models adjusted for clinically relevant factors were used to assess the association between sleep duration and smoking initiation. RESULTS: Of 17,493 men, including 540, 5,568, 8,458, 2,507, and 420 men with sleep duration of < 5, 5-6, 6-7, 7-8, and ≥ 8 h, respectively, smoking initiation was observed in 16.1%, 12.5%, 11.2%, 10.0%, and 11.7%, respectively, during a median observation period of 3.0 years. Men with shorter sleep duration were at a higher risk of smoking initiation (adjusted hazard ratio 1.49 [95% confidence interval 1.19-1.85], 1.11 [1.01-1.22], 1.00 [reference], 0.92 [0.80-1.06], and 1.00 [0.75-1.34], respectively). Of 8,880 women, including 267, 3,163, 4,220, and 1,230 women with sleep duration of < 5, 5-6, 6-7, and ≥ 7 h, respectively, smoking initiation was observed in 4.9%, 2.3%, 2.0%, and 2.2%, respectively, during a median observation period of 3.0 years. A similar dose dependent association was ascertained in women (2.50 [1.39-4.49], 1.18 [0.86-1.62], 1.00 [reference], and 1.22 [0.79-1.89], respectively). CONCLUSION: This study clarified that university students with short sleep duration were vulnerable to smoking initiation.

Plasma NfL is associated with mild cognitive decline in patients with diabetes.

BACKGROUND: Patients with diabetes are at a higher risk for cognitive decline. Thus, biomarkers that can provide early and simple detection of cognitive decline are required. Neurofilament light chain (NfL) is a cytoskeletal protein that constitutes neural axons. Plasma NfL levels are elevated when neurodegeneration occurs. Here, we investigated whether plasma NfL levels were associated with cognitive decline in patients with type 2 diabetes. METHOD: This study included 183 patients with type 2 diabetes who visited Osaka University Hospital. All participants were tested for cognitive function using the Mini-Mental State Examination (MMSE) and the Rivermead Behavioural Memory Test (RBMT). NfL levels were analysed in the plasma and the relationship between NfL and cognitive function was examined. RESULTS: Lower RBMT-standardized profile scores (SPS) or MMSE scores correlated with higher plasma NfL levels (one-way analysis of variance: MMSE, P = 0.0237; RBMT-SPS, P = 0.0001). Furthermore, plasma NfL levels (ß = -0.34, P = 0.0005) and age (ß = -0.19, P = 0.016) were significantly associated with the RBMT score after multivariable regression adjustment. CONCLUSIONS: Plasma NfL levels were correlated with mild cognitive decline which is detected by the RBMT but not the MMSE in patients with type 2 diabetes. This suggests that plasma NfL levels may provide a valuable clinical tool for identifying mild cognitive decline in patients with diabetes.

Thalamic pulvinar metabolism, sleep disturbances, and hallucinations in dementia with Lewy bodies: Positron emission tomography and actigraphy study.

OBJECTIVES: Although sleep disturbances are prevalent among patients with dementia with Lewy bodies (DLB), their neural substrates remain unclear. We aimed to clarify the neural substrates of sleep disturbances in patients with DLB. METHODS: We evaluated sleep disturbances, neuropsychiatric symptoms, and brain glucose metabolism in 22 patients with probable DLB using actigraphy, the Neuropsychiatric Inventory (NPI), and 18 F-fluorodeoxyglucose (FDG) positron emission tomography, respectively. Total sleep time (TST) and average activity count per minute (AAC) during sleep were calculated for seven consecutive days via actigraphy. We investigated associations between FDG uptake and the actigraphy parameters using Statistical Parametric Mapping version 12b. Spearman's rank correlation coefficients were used to investigate associations among TST, AAC, and clinical symptoms. The level of statistical significance was set at P < .05. P values were adjusted using the Benjamini-Hochberg method for multiple comparisons. This study was registered with ClinicalTrials.gov (NCT00776347). RESULTS: TST exhibited a significant positive association with FDG uptake in the bilateral orbitofrontal cortex and left thalamus, while AAC exhibited a significant negative association with FDG uptake in the left thalamus and the left parieto-occipital region. FDG uptake in the left pulvinar was associated with both TST and AAC. In addition, TST exhibited a significant negative association with the NPI hallucinations score (r = -0.66, P = .001), while AAC exhibited significant positive associations with the NPI delusions (r = 0.70, P < .001) and hallucinations (r = 0.63, P = .002) scores. CONCLUSIONS: TST and bodily activity during sleep are associated with dysfunction of the left pulvinar and the severity of hallucinations in patients with DLB.

JPOS/JASCC clinical guidelines for delirium in adult cancer patients: a summary of recommendation statements.

BACKGROUND: The Japanese Psycho-Oncology Society and Japanese Association of Supportive Care in Cancer recently launched the clinical practice guidelines for delirium in adult cancer patients. The aim of the guidelines was to provide evidence-based recommendations for the clinical assessment and management of delirium in cancer patients. This article reports the process of developing the guideline and summarizes the recommendations made. METHODS: The guidelines were developed in accordance with the Medical Information Network Distribution Service creation procedures. The guideline development group, consisting of multidisciplinary members, formulated nine clinical questions. A systematic literature search was conducted to identify relevant articles published prior to through 31 May 2016. Each article was reviewed by two independent reviewers. The level of evidence and the strength of the recommendations were graded using the grading system developed by the Medical Information Network Distribution Service, following the concept of The Grading of Recommendations Assessment, Development and Evaluation system. The modified Delphi method was used to validate the recommendation statements. RESULTS: This article provides a summary of the recommendations with rationales for each, as well as a short summary. CONCLUSIONS: These guidelines will support the clinical assessment and management of delirium in cancer patients. However, additional clinical studies are warranted to further improve the management of delirium.

Sleep debt and prevalence of proteinuria in subjects with short sleep duration on weekdays: a cross-sectional study.

STUDY OBJECTIVE: Short sleep duration is a risk factor of chronic kidney disease, along with cardiovascular diseases and all-cause mortality. Several studies reported that many people sleep longer on weekends than on weekdays, suggesting that they should be compensated for their sleep debt on weekdays on the weekends. Few studies have reported the clinical impact of sleep debt on the kidney. METHODS: This cross-sectional study included 5799 employees of Osaka University who visited its Health Care Center for their annual health examinations and answered ≤ 6 h of sleep duration on weekdays. The independent variable was the sleep debt index defined as a gap in self-reported sleep duration (≤ 5, 5-6, 6-7, 7-8, 8-9, and ≥ 9 h) between weekdays and weekends, which was categorized into ≤ 0, + 1, + 2, + 3 and ≥+4. An association between the sleep debt index and a prevalence of proteinuria defined as dipstick proteinuria of ≥ 1 + was assessed using logistic regression models adjusting for clinically relevant factors. RESULTS: More than four-fifths of the subjects had a positive sleep debt index (≤ 0, + 1, + 2, + 3, and ≥+4 recorded for 19%, 36%, 28%, 11%, and 6%, respectively). The multivariable-adjusted logistic regression models showed the sleep debt index ≥ 3 + was significantly associated with the prevalence of proteinuria (sleep debt index ≤ 0, adjusted odds ratio 1.13 [0.77, 1.65]; + 1, 1.00 [reference]; + 2, 1.29 [0.93, 1.79]; + 3, 1.54 [1.02, 2.33]; ≥ + 4, 1.87 [1.15, 3.05]). CONCLUSIONS: Sleep debt was associated with the prevalence of proteinuria in a dose-dependent manner.

Sleep disturbances are key symptoms of very early stage Alzheimer disease with behavioral and psychological symptoms: a Japan multi-center cross-sectional study (J-BIRD).

BACKGROUND: Sleep disturbances in Alzheimer disease (AD) may affect behavioral and psychological symptoms of dementia (BPSD). Our aim was to elucidate the associations between sleep disturbances and other BPSD at different stages of AD. METHODS: This investigation was part of a multicenter-retrospective study in Japan (J-BIRD). Eligible for final analyses were 684 AD patients. Global severity of dementia was estimated using the Clinical Dementia Rating (CDR) scale. BPSD were assessed using the Neuropsychiatric Inventory (NPI). We analyzed the relationships between sleep disturbances and BPSD at different stages of AD according to the CDR score. RESULTS: Among the 684 AD patients, 146 (21.3%) had sleep disturbances. Patients with very early AD (CDR 0.5) and sleep disturbances had significantly more BPSD than those without sleep disturbances, as indicated by the higher prevalence of the following four NPI items: anxiety, euphoria, disinhibition, and aberrant motor behavior. In AD at CDR 2, (moderate AD) only one NPI item (irritability) was affected, while none was affected at CDR 1 (mild AD) and 3 (severe AD). Multiple regression analyses were performed in those with AD having various CDR scores. At CDR 0.5, the presence of sleep disturbances was associated with a high total NPI score (ß = 0.32, p < 0.001). However, other factors, including cognitive decline, age, gender, and years of education, were not significantly associated with the NPI score. At CDR 1 and 2, no factor was significantly related to BPSD. CONCLUSION: Sleep disturbances were strongly associated with other BPSD in the very early stage of AD. Copyright © 2016 John Wiley & Sons, Ltd.

Association between depressive symptoms and changes in sleep condition in the grieving process.

PURPOSE: Bereaved families often suffer from insomnia and depression. However, the associations between depressive state and changes in sleep condition during the grieving process have not been investigated. This study aimed to clarify the prevalence of insomnia symptoms and to explore associations between present depressive state and changes in sleep condition in the grieving process in bereaved families of Japanese patients with cancer. METHODS: A cross-sectional, multicenter survey was conducted in 103 certified palliative care units. A questionnaire asking insomnia symptoms and depressive symptoms by the Center for Epidemiological Studies Depression Scale (CES-D) was mailed to bereaved families (N = 987). The association between present depressive state (CES-D ≥7) and sleep conditions in the grieving process were analyzed. RESULTS: A total of 561 families were enrolled for analysis. Fifty-three percent of family members were considered to be in a depressive state at the time of the investigation. Prevalence of past insomnia was 86.5% at "within a few weeks before the patient's death" (T1) and 84.5% at "within 6 months after the patient's death" (T2) in all bereaved family members. However, in contrast to decreased severity of insomnia between T1 and T2 in the non-depressive group (p < 0.05), severity of insomnia was unchanged in the depressive group during this period (p = 0.139). CONCLUSIONS: Insomnia symptoms are highly prevalent and may be associated with posthumous depressive state in bereaved Japanese families. These results suggest the need for careful observation of changes in sleep condition during the grieving process.

[Parasomnia].

In elderly people, various abnomal behaviors could be accompanied during the sleep or around the bed time. There are many opportunities to receive consultation in a general or liaison psychiatry for diagnosis and treatment to these problems. REM sleep behavior disorder (RBD) is higher prevalence part of parasomnia at elderly people. Especially, RED has received a lot of attention in recent years from the relevance with α-synucleinopathy. On the other hand, new onset of non-REM parasomnia is lower frequency at the point of elderly people, however, it is important to understand the clinical features about parasomnias for differentiation from epilepsy and delirium.

Sleep problems and psychological distress in family members of patients with hematological malignancies in the Japanese population.

Patients with cancer frequently suffer from insomnia symptoms, and additionally, their family members also often experience these symptoms. The aim of this study was to investigate the prevalence of insomnia symptoms in both family members and patients with hematological malignancies. We conducted an observational cross-sectional study using a clinical self-reported questionnaire for sleep conditions, depressive symptoms (two-question method), and worries (five items that originated from the Brief Cancer Worry Inventory). One hundred twelve family members and 153 patients were investigated. A t test and Chi-square test were used to compare the prevalence of insomnia and depressive symptoms between family members and patients. Logistic regression was used to determine whether insomnia symptoms or worries related to patients' disease had an impact on depressive symptoms. The presence of insomnia symptoms in family members (87 %) was significantly higher than that in patients (60 %, p < 0.001). The prevalence of depressive mood and anhedonia in family members were 55 and 34 %, respectively, and these values were higher than those in patients (43 and 28 %, respectively). Insomnia symptoms and worries about present/prospective disease conditions were significantly associated with depressive mood (insomnia symptoms, odds ratios (OR) 4.3, confidence intervals (CI) 1.2-15.2, p = 0.025; worries, OR 4.4, CI 1.0-19.3, p = 0.048). Taken together, our results demonstrated that insomnia symptoms and depressive symptoms are highly prevalent in family members as well as in patients with hematological malignancies.

Adapting the Number of Questions Based on Detected Psychological Distress for Cognitive Behavioral Therapy With an Embodied Conversational Agent: Comparative Study.

BACKGROUND: The high prevalence of mental illness is a critical social problem. The limited availability of mental health services is a major factor that exacerbates this problem. One solution is to deliver cognitive behavioral therapy (CBT) using an embodied conversational agent (ECA). ECAs make it possible to provide health care without location or time constraints. One of the techniques used in CBT is Socratic questioning, which guides users to correct negative thoughts. The effectiveness of this approach depends on a therapist's skill to adapt to the user's mood or distress level. However, current ECAs do not possess this skill. Therefore, it is essential to implement this adaptation ability to the ECAs. OBJECTIVE: This study aims to develop and evaluate a method that automatically adapts the number of Socratic questions based on the level of detected psychological distress during a CBT session with an ECA. We hypothesize that this adaptive approach to selecting the number of questions will lower psychological distress, reduce negative emotional states, and produce more substantial cognitive changes compared with a random number of questions. METHODS: In this study, which envisions health care support in daily life, we recruited participants aged from 18 to 65 years for an experiment that involved 2 different conditions: an ECA that adapts a number of questions based on psychological distress detection or an ECA that only asked a random number of questions. The participants were assigned to 1 of the 2 conditions, experienced a single CBT session with an ECA, and completed questionnaires before and after the session. RESULTS: The participants completed the experiment. There were slight differences in sex, age, and preexperimental psychological distress levels between the 2 conditions. The adapted number of questions condition showed significantly lower psychological distress than the random number of questions condition after the session. We also found a significant difference in the cognitive change when the number of questions was adapted based on the detected distress level, compared with when the number of questions was fewer than what was appropriate for the level of distress detected. CONCLUSIONS: The results show that an ECA adapting the number of Socratic questions based on detected distress levels increases the effectiveness of CBT. Participants who received an adaptive number of questions experienced greater reductions in distress than those who received a random number of questions. In addition, the participants showed a greater amount of cognitive change when the number of questions matched the detected distress level. This suggests that adapting the question quantity based on distress level detection can improve the results of CBT delivered by an ECA. These results illustrate the advantages of ECAs, paving the way for mental health care that is more tailored and effective.

Prevalence of sleep disturbances in people with mild cognitive impairment: A systematic review and meta-analysis.

This review was performed to determine sleep disturbance prevalence in individuals with mild cognitive impairment (MCI). The MEDLINE, Embase, Cochrane Library, CINAHL, PsycINFO, and Web of Science databases were systematically searched from inception to January 20, 2024. Fifty-two studies fulfilling the eligibility criteria were included. However, six of these studies were excluded from data synthesis due to poor methodological quality. The subjective sleep disturbance prevalence among all individuals with MCI was 35.8 % (95 % CI: 31.9-39.7) across 44 studies, and the objective sleep disturbance prevalence was 46.3 % (95 % CI: 36.3-56.3) across 6 studies. Five studies examined TST and WASO, while three assessed SE. Among all potential objective assessments of sleep disturbance prevalence, only TST, WASO, and SE could be meta-analyzed in MCI because of the limited number of studies available. The estimated sleep disturbance prevalence differed significantly according to measurement method, geographical region, and research design. However, the data source did not significantly influence prevalence estimates. In meta-regression analysis, publication year, participant age, percentage of females, and study quality did not predict prevalence. As subjective and objective sleep disturbances are common in people with MCI, effective intervention strategies should be developed to alleviate them.

Comparison of the utility of everyday memory test and the Alzheimer's Disease Assessment Scale-Cognitive part for evaluation of mild cognitive impairment and very mild Alzheimer's disease.

AIM: The purpose of this study was to compare the utility of the Rivermead Behavioural Memory Test (RBMT) and the Alzheimer's Disease Assessment Scale-Cognitive part (ADAS-Cog) for the evaluation of mild cognitive impairment (MCI) or very mild Alzheimer's disease (AD). METHODS: The discriminative abilities of RBMT and ADAS-Cog were compared in the very early stage of AD or MCI patients. Furthermore, we evaluated the difference in both RBMT score and ADAS-Cog score between different severities. RESULTS: Evident superiority in the false negative rate was observed in RBMT over ADAS-Cog in MCI or very mild AD. In addition, 86.7% of the subjects overlooked by ADAS-Cog were correctly detected by RBMT profile score. However, the RBMT score falls in the very early stages and the range of the RBMT score is rather narrow. As a result, it is difficult to evaluate status and follow the progression in severer cases. In contrast to RBMT, the ADAS-Cog score has a wide range and can evaluate and follow the severity in more severe cases. CONCLUSION: RBMT is more useful than ADAS-Cog in evaluating patients with MCI or very mild AD.

Better Mental Health and Sleep under Behavioral Restrictions Due to COVID-19 in Japanese University Students: A Cross-Sectional Survey.

Coronavirus disease (COVID-19) is a global pandemic, which is not only a severe public health issue but also significantly impacts the physical activity, sleep habits, and mental health of university students. Thus, we examined the association between behavioral restrictions due to COVID-19 and sleep patterns and mental health in first-year Japanese university students. Four hundred and twenty-two students (253 males and 169 females; age, 18.7 ± 1.0 years) participated in our questionnaire study. Under the behavioral restrictions due to COVID-19, 193 students (127 males and 66 females) responded to the questionnaire online from home. The participants did not visit the university during the survey period. The data acquired the year before the COVID-19 pandemic (2018 and 2019) were used as control data (126 males and 103 females). The questionnaire consisted of four sections: (1) demographic and lifestyle variables, (2) the Pittsburgh Sleep Quality Index, (3) the Japanese version of the Epworth Sleepiness Scale, and (4) the Patient Health Questionnaire-9. Our data revealed that self-restraint due to COVID-19 was associated with better sleep and mental health. In addition, mental health was independent of sleep, while sleep was related to mental health. These differences were more pronounced in male than in female students. This finding could be due to physical activity at night, part-time work, and long commuting times during the pre-pandemic period.

Criteria for detection of possible risk factors for mental health problems in undergraduate university students.

Introduction: Developing approaches for early detection of possible risk clusters for mental health problems among undergraduate university students is warranted to reduce the duration of untreated illness (DUI). However, little is known about indicators of need for care by others. Herein, we aimed to clarify the specific value of study engagement and lifestyle habit variables in predicting potentially high-risk cluster of mental health problems among undergraduate university students. Methods: This cross-sectional study used a web-based demographic questionnaire [the Utrecht Work Engagement Scale for Students (UWES-S-J)] as study engagement scale. Moreover, information regarding life habits such as sleep duration and meal frequency, along with mental health problems such as depression and fatigue were also collected. Students with both mental health problems were classified as high risk. Characteristics of students in the two groups were compared. Univariate logistic regression was performed to identify predictors of membership. Receiver Operating Characteristic (ROC) curve was used to clarify the specific values that differentiated the groups in terms of significant predictors in univariate logistic analysis. Cut-off point was calculated using Youden index. Statistical significance was set at p < 0.05. Results: A total of 1,644 students were assessed, and 30.1% were classified as high-risk for mental health problems. Significant differences were found between the two groups in terms of sex, age, study engagement, weekday sleep duration, and meal frequency. In the ROC curve, students who had lower study engagement with UWES-S-J score < 37.5 points (sensitivity, 81.5%; specificity, 38.0%), <6 h sleep duration on weekdays (sensitivity, 82.0%; specificity, 24.0%), and < 2.5 times of meals per day (sensitivity, 73.3%; specificity, 35.8%), were more likely to be classified into the high-risk group for mental health problems. Conclusion: Academic staff should detect students who meet these criteria at the earliest and provide mental health support to reduce DUI among undergraduate university students.

Imaging of the nigrostriatal system for evaluating the preclinical phase of Parkinson's disease development: the utility of neuromelanin, diffusion MRI, and DAT-SPECT.

OBJECTIVE: To assess the utility of examining the nigrostriatal system with MRI and dopamine transporter (DAT) imaging for evaluating the preclinical phase of Parkinson's disease (PD). METHODS: The subjects were 32 patients with early PD and a history of probable rapid eye movement sleep behavior disorder (RBD; PD group), 15 patients with idiopathic RBD (RBD group), and 24 age-matched healthy controls (HC group) who underwent neuromelanin and diffusion tensor MRI for analysis of the substantia nigra pars compacta (SNpc). The RBD and PD groups underwent DAT imaging. In the RBD group, totals of 39 MRI and 27 DAT imaging examinations were obtained longitudinally. For each value, intergroup differences and receiver operating characteristic analysis for diagnostic performance were examined statistically. RESULTS: The neuromelanin value was significantly lower and the diffusion tensor values except fractional anisotropy were significantly higher in the RBD and PD groups than in the HC group. The DAT specific binding ratio (SBR) was significantly lower in the PD group than in the RBD group. The areas under the receiver operating characteristic curves (AUCs) for neuromelanin/mean diffusivity value in the SNpc were 0.76/0.82 for diagnosing RBD and 0.83/0.80 for diagnosing PD. The area under the receiver operating characteristic curves for the SBR for discriminating PD from RBD was 0.87. CONCLUSION: MRI and DAT imaging may be useful for evaluating sequential nigrostriatal changes during the preclinical phase of PD. ADVANCES IN KNOWLEDGE: MRI detects nigrostriatal changes in both RBD and early PD, and DAT imaging detects nigrostriatal changes during the transition to PD in RBD.

Linguistic Features of Clients and Counselors for Early Detection of Mental Health Issues in Online Text-based Counseling.

Online counseling is essential for overcoming mobility restrictions, schedule limitations, and mental health stigma. However, government counseling offices are being inun-dated with consultations for which non-mental health supports are targeted. Therefore, we aim to create a classification model that classifies whether the clients have mental health issues or other issues. We expect to support counselors by presenting the classification results. We conducted the first automatic detection of clients who might be suffering from mental health issues and used almost 1000 actual counseling sessions for our machine learning framework. We achieved an F1-score of 0.646 by classifying dialogue sessions using features such as frequency-inverse, document frequency, document embedding of a large-scale language model, linguistic inquiry and word count, topic modeling, and statistics of dialogue sentences. In addition, we performed dimensionality reduction with principal component analysis. We also conducted evaluation experiments using dialogue sentences from the beginning to the middle of sessions as input and clarified the relationship between the number of messages in the dialogues and the transition in the classification performance. We also identified the words that contribute to detecting mental health issues for each client and counselor. Clinical relevance-This study makes it possible to detect the trends identified in a client's anxieties during counseling. Our findings are critical for designing systems that assist counselors.

Increased digital media use is associated with sleep problems among university students: A study during the COVID-19 pandemic in Japan.

This retrospective cohort study investigates the association between the incidence of sleep problems and changes in digital media use among university students during the COVID-19 pandemic. It used data from annual health check-ups performed at a Japanese university in 2019 and 2020. Students undergoing these check-ups were identified to respond to questions about sleep problems, digital media use, breakfast and exercise habits, and stress. In total, 3,869 students were included in the analysis. The association between the incidence of sleep problems in 2020 and the changes in digital media use between 2019 and 2020 was assessed using logistic regression models. The rate of long digital media use (≥ 2 hours) in 2019 was 42.6%, while in 2020 it was 53.6%. Incidence of sleep problems was observed in 244 students (6.3%) in 2020. There were 786 students (20.3%) who used digital media for ≤ 2 h in 2019 and ≥ 2 h in 2020. From the sample, 66 students (8.4%) reported incidence of sleep problems in 2020. Additionally, those respondents who specifically reported increased digital media use between 2019 and 2020 (increased use) where at greater risk (OR: 1.76; 95% CI: 1.21, 2.55) of reporting sleep problems in 2020, even after controlling for other study variables. Thus, this study provides evidence that the incidence of sleep problems has had a significant association with an increase in digital media use among university students throughout the COVID-19 pandemic. These findings highlight the importance of ensuring appropriate digital media use among students for improved quality of sleep.

Presenteeism in college students: reliability and validity of the Presenteeism Scale for Students.

OBJECTIVE: Presenteeism is the impaired work performance due to health problems. We aimed to develop a Presenteeism Scale for Students (PSS), and to reveal the existence of presenteeism among students. METHODS: Students (n = 5,701) in 4 national universities in Japan were recruited via the school-based health examination. Moreover, 122 students participated in a 2-week interval test-retest to examine the reliability and criterion-related validity of the PSS. RESULTS: Of the students, 59.2% indicated some health problems. Allergy was most prevalent health problems, affecting 35.7% of the whole students. Students with emotional problems had higher degree of presenteeism than those with the other problems. The Cronbach's α of the work impairment score of the PSS was 0.90. The Spearman's coefficient for the test-retest score was 0.80 (P < 0.001). Regarding criterion-related validity, Spearman's coefficient between the work impairment score of the PSS and summary score of the SF-36 was -0.60 (P < 0.001). CONCLUSIONS: These findings suggest that the PSS can be expected to be useful for assessment of students with presenteeism. Furthermore, we found that the majority of students have some health problems, and proposed that the issue of presenteeism on campus should be addressed.

Landmark Analysis Exploring the Optimal Period for Intensive Monitoring After Return to Work for Employees With Sickness Absence Due to Common Mental Disorders.

OBJECTIVE: This study aimed to clarify when and how long intensive monitoring should be performed after return to work (RTW) of employees experiencing common mental disorders using landmark analysis. METHODS: We conducted a retrospective survey of workers who experienced sickness absences (SAs) during 36 months after RTW. Sustainability rates of attendance among the following groups were compared before and after the landmark (18 months): one SA episode (Group 1), two SA episodes (Group 2), and three or more SA episodes (Group 3). RESULTS: Before the landmark, sustainability in Group 1 was higher than in the other groups, with no significant differences among groups after the landmark. Sustainability rate of attendance tended to be lower before than after the landmark in each group. CONCLUSIONS: Intensive monitoring is suggested in the first 18 months after RTW.

Discrepancies in the Time Course of Sleep Stage Dynamics, Electroencephalographic Activity and Heart Rate Variability Over Sleep Cycles in the Adaptation Night in Healthy Young Adults.

OBJECTIVE: The aim of the present study was to characterize the cyclic sleep processes of sleep-stage dynamics, cortical activity, and heart rate variability during sleep in the adaptation night in healthy young adults. METHODS: Seventy-four healthy adults participated in polysomnographic recordings on two consecutive nights. Conventional sleep variables were assessed according to standard criteria. Sleep-stage continuity and dynamics were evaluated by sleep runs and transitions, respectively. These variables were compared between the two nights. Electroencephalographic and cardiac activities were subjected to frequency domain analyses. Cycle-by-cycle analysis was performed for the above variables in 34 subjects with four sleep cycles and compared between the two nights. RESULTS: Conventional sleep variables reflected lower sleep quality in the adaptation night than in the experimental night. Bouts of stage N1 and stage N2 were shorter, and bouts of stage Wake were longer in the adaptation night than in the experimental night, but there was no difference in stage N3 or stage REM. The normalized transition probability from stage N2 to stage N1 was higher and that from stage N2 to N3 was lower in the adaptation night, whereas that from stage N3 to other stages did not differ between the nights. Cycle-by-cycle analysis revealed that sleep-stage distribution and cortical beta EEG power differed between the two nights in the first sleep cycle. However, the HF amplitude of the heart rate variability was lower over the four sleep cycles in the adaptation night than in the experimental night. CONCLUSION: The results suggest the distinct vulnerability of the autonomic adaptation processes within the central nervous system in young healthy subjects while sleeping in a sleep laboratory for the first time.