The optimal cut-off score of the Eating Attitude Test-26 for screening eating disorders in Japan.

PURPOSE: The Eating Attitude Test-26 (EAT-26) is a screening tool for eating disorders (EDs) in clinical and non-clinical samples. The cut-off score was suggested to be varied according to target population. However, no studies have examined the appropriateness of the originally proposed score of 20 for screening DSM-5 eating disorders in Japan. This study aimed to identify an appropriate cut-off score to better differentiate clinical and non-clinical samples in Japan for EDs. METHODS: The participants consisted of 54 patients with anorexia nervosa restricting type, 58 patients with anorexia nervosa binge-eating/purging type, 37 patients with bulimia nervosa diagnosed according to DSM-5 criteria, and 190 healthy controls (HCs). Welch's t test was used to assess differences in age, body mass index (BMI), and total EAT-26 scores between HCs and patients with EDs. Receiver operating characteristic (ROC) analysis was conducted to identify the optimal cut-off score. RESULTS: The HCs had significantly higher BMI and lower total EAT-26 mean scores than patients with EDs. The area under the ROC curve was 0.925, indicating that EAT-26 had excellent performance in discriminating patients with EDs from HCs. An optimal cut-off score of 17 was identified, with sensitivity and specificity values of 0.866 and 0.868, respectively. CONCLUSIONS: The result supports the suggestions that optimal cut-off score should be different according to target populations. The newly identified cut-off score of 17 would enable the identification of patients with EDs who have been previously classified as non-clinical samples in the EAT-26 test. LEVEL OF EVIDENCE: III: evidence obtained from case-control analytic study.

Just-in-Time Adaptive Intervention for Stabilizing Sleep Hours of Japanese Workers: Microrandomized Trial.

BACKGROUND: Sleep disturbance is a major contributor to future health and occupational issues. Mobile health can provide interventions that address adverse health behaviors for individuals in a vulnerable health state in real-world settings (just-in-time adaptive intervention). OBJECTIVE: This study aims to identify a subpopulation with vulnerable sleep state in daily life (study 1) and, immediately afterward, to test whether providing mobile health intervention improved habitual sleep behaviors and psychological wellness in real-world settings by conducting a microrandomized trial (study 2). METHODS: Japanese workers (n=182) were instructed to collect data on their habitual sleep behaviors and momentary symptoms (including depressive mood, anxiety, and subjective sleep quality) using digital devices in a real-world setting. In study 1, we calculated intraindividual mean and variability of sleep hours, midpoint of sleep, and sleep efficiency to characterize their habitual sleep behaviors. In study 2, we designed and conducted a sleep just-in-time adaptive intervention, which delivered objective push-type sleep feedback messages to improve their sleep hours for a subset of participants in study 1 (n=81). The feedback messages were generated based on their sleep data measured on previous nights and were randomly sent to participants with a 50% chance for each day (microrandomization). RESULTS: In study 1, we applied hierarchical clustering to dichotomize the population into 2 clusters (group A and group B) and found that group B was characterized by unstable habitual sleep behaviors (large intraindividual variabilities). In addition, linear mixed-effect models showed that the interindividual variability of sleep hours was significantly associated with depressive mood (ß=3.83; P=.004), anxiety (ß=5.70; P=.03), and subjective sleep quality (ß=-3.37; P=.03). In study 2, we found that providing sleep feedback prolonged subsequent sleep hours (increasing up to 40 min; P=.01), and this effect lasted for up to 7 days. Overall, the stability of sleep hours in study 2 was significantly improved among participants in group B compared with the participants in study 1 (P=.001). CONCLUSIONS: This is the first study to demonstrate that providing sleep feedback can benefit the modification of habitual sleep behaviors in a microrandomized trial. The findings of this study encourage the use of digitalized health intervention that uses real-time health monitoring and personalized feedback.

Daily Associations Between Presenteeism and Health-Related Factors Among Office Workers: An Ecological Momentary Assessment Approach.

OBJECTIVE: The study examined daily associations between presenteeism and health-related factors among office workers using Ecological Momentary Assessment (EMA). METHODS: Diurnal mood and physical symptoms were repeatedly recorded over two weeks with EMA. Daily work performance (WP) was also recorded. Recalled WP and baseline health conditions were assessed via questionnaires. Daily sleep was assessed using actigraphy. Reliability between recalled and daily WP was compared. Hierarchical linear modeling (HLM) was used to analyze the effects of sleep, mood, and physical symptoms on daily WP. RESULTS: Weak yet significant agreement was found between recalled and daily WP, with EMA capturing occasional declines in performance overlooked by recalled assessments. HLM indicated that longer sleep, reduced depressive mood, and decreased shoulder stiffness were significantly associated with increased daily WP. CONCLUSIONS: These factors are associated with daily fluctuations in presenteeism, suggesting potential targets of intervention.

Predicting extremely low body weight from 12-lead electrocardiograms using a deep neural network.

Previous studies have successfully predicted overweight status by applying deep learning to 12-lead electrocardiogram (ECG); however, models for predicting underweight status remain unexplored. Here, we assessed the feasibility of deep learning in predicting extremely low body weight using 12-lead ECGs, thereby investigating the prediction rationale for highlighting the parts of ECGs that are associated with extremely low body weight. Using records of inpatients predominantly with anorexia nervosa, we trained a convolutional neural network (CNN) that inputs a 12-lead ECG and outputs a binary prediction of whether body mass index is ≤ 12.6 kg/m2. This threshold was identified in a previous study as the optimal cutoff point for predicting the onset of refeeding syndrome. The CNN model achieved an area under the receiver operating characteristic curve of 0.807 (95% confidence interval, 0.745-0.869) on the test dataset. The gradient-weighted class activation map showed that the model focused on QRS waves. A negative correlation with the prediction scores was observed for QRS voltage. These results suggest that deep learning is feasible for predicting extremely low body weight using 12-lead ECGs, and several ECG features, such as lower QRS voltage, may be associated with extremely low body weight in patients with anorexia nervosa.

Effectiveness of antipsychotics for managing agitated delirium in patients with advanced cancer: a secondary analysis of a multicenter prospective observational study in Japan (Phase-R).

PURPOSE: Delirium is a common and serious comorbidity in patients with advanced cancer, necessitating effective management. Nonetheless, effective drugs for managing agitated delirium in patients with advanced cancer remain unclear in real-world settings. Thus, the present study aimed to explore an effective pharmacotherapy for this condition. METHODS: We conducted a secondary analysis of a multicenter prospective observational study in Japan. The analysis included patients with advanced cancer who presented with agitated delirium and received pharmacotherapy. Agitation was defined as a score of the Richmond Agitation-Sedation Scale for palliative care (RASS-PAL) of ≥ 1. The outcome was defined as -2 ≤ RASS-PAL ≤ 0 at 72 h after the initiation of pharmacotherapy. Multiple propensity scores were quantified using a multinomial logistic regression model, and adjusted odds ratios (ORs) were calculated for haloperidol, chlorpromazine, olanzapine, quetiapine, and risperidone. RESULTS: The analysis included 271 patients with agitated delirium, and 87 (32%) showed -2 ≤ RASS-PAL ≤ 0 on day 3. The propensity score-adjusted OR of olanzapine was statistically significant (OR, 2.91; 95% confidence interval, 1.12 to 7.80; P = 0.030). CONCLUSIONS: The findings suggest that olanzapine may effectively improve delirium agitation in patients with advanced cancer.

[Detection and Application of Allostatic Load through Internet of Things Measurements].

Allostatic load refers to a vulnerable state of the nervous system caused by chronic or repeated exposure to challenges of daily life (e.g., psychological stressors) and considered to indicate risk of a transition to pathological state. In this paper, we first introduce a traditional method of assessing allostatic load that utilizes multiple biomarkers. Next, we demonstrate the potential of the Internet of Things (IoT) data sampling method to detect and control the vulnerable state in daily life.

Regional disparities in suicide among patients with cancer: A nationwide population-based study in Japan.

BACKGROUND: This study aimed to explore prefecture-level differences in suicide risk among patients with cancer in Japan. METHODS: Data from the National Cancer Registry, which covers the entire Japanese population, were used. Patients diagnosed with cancer between 2016 and 2017 were included. The standardized mortality ratio (SMR) for suicide within 2 years after cancer diagnosis was quantified compared with the general population for each prefecture. Multivariate Poisson regression analysis was conducted to quantify the adjusted relative risk using Hokkaido as the reference. RESULTS: The analysis included 2,133,502 patients. The SMRs were high among patients with cancer residing in certain prefectures, such as the Hokuriku region (the middle and western parts of Japan's main island). These areas also exhibited a significant relative risk in the Poisson regression model. CONCLUSION: The results demonstrated that patients with cancer in certain prefectures in Japan have a high suicide risk.

Association of psychosocial factors with physical activity among Japanese adults aged 65 and older: a 6-year repeated cross-sectional study from the Nakanojo Study.

BACKGROUND: Physical activity (PA) provides substantial mental and physical health benefits for individuals of all ages. A limited number of long-term or longitudinal studies have investigated the association between psychosocial factors and PA in healthy older adults aged 65 and above. This study aimed to determine the long-term relationship between psychosocial factors, such as vitality, mental health, anxiety, and depression, and objectively measure PA in older adults. METHODS: Healthy participants from Nakanojo, Japan, aged 65-90, capable of walking, were included in this study and were followed up from 2008 to 2013. Those diagnosed with dementia and depression were excluded. Using a repeated cross-sectional dataset, a multilevel model was developed with psychosocial variables as independent variables and an average daily duration of PA volume of > 3 metabolic equivalents (METs) as the outcome. The Akaike information criterion was used to select the final model. RESULTS: This study included 1108 records from 319 participants. In the multilevel model, age (coefficient = -0.106, 95% confidence interval [CI] = -0.127 to -0.086, p < 0.001) and the Hospital Anxiety and Depression Scale depression scores (coefficient = -0.019, 95% CI = -0.036 to -0.002, p = 0.026) were negatively associated with the duration of PA volume > 3 METs, whereas male sex (coefficient = 0.343, 95% CI = 0.115 to 0.571, p = 0.003) was positively associated with PA volume. CONCLUSION: Depressive symptoms were related to a reduced duration of PA volume of > 3 METs among these adults aged 65 and above.

Economic costs for outpatient treatment of eating disorders in Japan.

BACKGROUND: Few studies have examined the economic costs of outpatient care for eating disorders in Japan. This study aimed to clarify the reimbursement for outpatient treatment of eating disorders and compare the costs between the departments of Psychosomatic Medicine and Psychiatry in Japan. METHOD: A multicenter, prospective, observational study of patients with an eating disorder was conducted in the Psychosomatic Medicine departments of three centers and the Psychiatry departments of another three centers in Japan. We analyzed medical reimbursement for an outpatient revisit, time of clinical interviews, and the treatment outcome measured by the Eating Disorder Examination Questionnaire (EDE-Q) global scores and body mass index (BMI) at 3 months. Multivariate linear regression models were performed to adjust for covariates. RESULTS: This study included 188 patients in the Psychosomatic Medicine departments and 68 in the Psychiatry departments. The average reimbursement cost for an outpatient revisit was 4670 yen. Even after controlling for covariates, the Psychosomatic Medicine departments had lower reimbursement points per minute of interviews than the Psychiatry departments (coefficient = - 23.86; 95% confidence interval = - 32.09 to - 15.63; P < 0.001). In contrast, EDE-Q global scores and BMI at 3 months were not significantly different between these departments. CONCLUSIONS: This study clarifies the economic costs of treating outpatients with eating disorders in Japan. The medical reimbursement points per interview minute were lower in Psychosomatic Medicine departments than in Psychiatry departments, while there were no apparent differences in the treatment outcomes. Addressing this issue is necessary to provide an adequate healthcare system for patients with eating disorders in Japan.

This study examined the cost of outpatient care for eating disorders in Japan, comparing treatment costs between the Psychosomatic Medicine and Psychiatry departments. The actual cost of outpatient care for eating disorders in Japan was clarified. The results indicate that Psychosomatic Medicine departments have lower reimbursement points per interview time compared to the Psychiatry departments, but there were no noticeable differences in treatment outcomes between the two. This highlights the need to address this cost difference to improve the healthcare system for patients with eating disorders in Japan.

A nationwide questionnaire survey of physicians regarding the impact of the COVID-19 pandemic on patients and treatment system of psychosomatic medicine.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has affected the treatment system of medical institutions across the world. Studies of the populations and patients have reported mental health problems caused by the pandemic. However, there are few large-scale studies that have examined the effects of the COVID-19 on diseases from the perspective of psychosomatic medicine. The purpose of this study was to examine changes made to the psychosomatic treatment system of Japan during the COVID-19 pandemic and the impact of the pandemic on patients with diseases treated in psychosomatic medicine. METHODS: We conducted a nationwide questionnaire survey of members of the Japanese Society of Psychosomatic Medicine and the Japanese Society of Psychosomatic Internal Medicine from December 24, 2021 to January 31, 2022. RESULTS: Of the 325 respondents, 23% reported restrictions in initial outpatient admissions, 66% implemented telemedicine, 46% reported a decrease in outpatient admissions, and 31% working in facilities with inpatient units reported decreased inpatient admissions. To reduce in-person visits, 56% of the respondents decreased the frequency of patient visits and 66% introduced telemedicine. Seventy-eight percent of the respondents reported that the COVID-19 pandemic affected the onset or exacerbation of diseases treated in psychosomatic medicine, including psychosomatic disorders, anxiety disorders, mood disorders, adjustment disorders, and eating disorders. CONCLUSIONS: This study revealed that the COVID-19 pandemic might have affected the practice of psychosomatic treatment in Japan and that various alternative measures were taken to prevent infection. In addition, although the items in this study were not compared to pre-pandemic data, the COVID-19 pandemic, it could have significant psychosocial effects on Japanese patients requiring psychosomatic care. Furthermore, respondents believed that numerous psychosocial factors were behind the impact of the COVID-19 pandemic on patients with diseases treated in psychosomatic medicine.

A multi-center, randomized, parallel-group study to compare the efficacy of enhanced cognitive behavior therapy (CBT-E) with treatment as usual (TAU) for anorexia nervosa: study protocol.

BACKGROUND: The superiority of Enhanced Cognitive Behavior Therapy (CBT-E) with regard to weight gain and improvement of psychopathology of eating disorders for patients with anorexia nervosa (AN) over other psychotherapies and treatment as usual (TAU) has not been demonstrated in randomized controlled trials (RCTs). However, a previous RCT showed that patients with AN whose baseline body mass index (BMI) was less than 17.5 kg/m2 gained more weight when treated with CBT-E than with other psychotherapies. The aim of the study is to compare the efficacy of CBT-E and TAU for patients with AN. It was hypothesized that CBT-E would be superior to TAU, at least in terms of weight gain, as most patients with AN are likely to have a BMI lower than 17.5 kg/m2. METHODS/DESIGN: A randomized parallel-group multicenter trial will be conducted in three teaching hospitals in Japan between January 2023 and March 2026. Patients with DSM-5 AN, aged 16 years and older, with a BMI equal to or above 14.0 and below 18.5 will be eligible to participate. 56 patients will be randomly and evenly assigned to two intervention groups (CBT-E and TAU). Those assigned to CBT-E will be offered 25-40 sessions in accordance with their initial BMI. Patients assigned to TAU will have at least one session every 2 weeks, with the number of sessions and treatment period not fixed in advance. The primary outcome is BMI at 40 weeks after treatment initiation. The secondary outcomes are the results from the Japanese version of the Eating Disorder Examination Questionnaire and Clinical Impairment Assessment questionnaire to measure eating disorder psychopathology and psychological impairment. The follow-up assessment will be performed 6 months after the 40-week assessment. DISCUSSION: This multi-center randomized controlled study will probably evaluate the efficacy of CBT-E compared with TAU for patients with more severe AN than in previous studies since Japanese patients are likely to have a lower BMI than those in Western countries. While it may be difficult to generalize the results of a study conducted in Japan, it would be valuable to clarify the efficacy of CBT-E as a treatment package. TRIAL REGISTRATION: UMIN, UMIN000048847. Registered 12 Sep 2022.

Feasibility, acceptability, and effects of a self-stigma reduction pilot program for Japanese individuals with type 2 diabetes.

Objective: To examine the feasibility, acceptability, and effects of a self-stigma reduction program for patients with type 2 diabetes mellitus (T2DM). Methods: We adopted a within-subjects pre-post study design, measuring self-stigma among T2DM patients who received treatment at a tertiary-level hospital. Results: Of the 17 participants, 11 participants completed the program (mean age: 54.36 ± 8.58 years; women: 63.6%; mean T2DM duration: 12.09 ± 10.41 years). Participants experienced reduced levels of self-stigma between the pre- and post-study time points (mean pre-study score: 35.82 ± 16.26; mean post-study score: 25.55 ± 16.91). The difference in self-stigma was not significant (effect size: d = 0.8, χ2 = 3.6, p = 0.057). Overall, participants who completed the program were satisfied except for the duration of each session. Conclusion: The self-stigma reduction program was relatively feasible and acceptable. Although due to the small sample size our results were not statistically significant, a large reduction of self-stigma was found in those who completed the program, which is promising. Future studies with larger sample sizes are needed to measure the program's long-term effects on the reduction of self-stigma. Innovation: This program is innovative as the researchers and healthcare professionals collaborated with patients who contributed their narratives.

Development of a Japanese Version of the Quality of Life at the End of Life-Cancer Scale.

CONTEXT: The Quality of Life at the End of Life-Cancer Scale (QUAL-EC) is a self-reported instrument to assesses the quality of life of patients with cancer near the end of life. OBJECTIVE: To test the reliability and validity of the QUAL-EC-J, a Japanese translated version of the QUAL-EC. METHODS: A total of 179 Japanese patients with advanced cancer completed the QUAL-EC-J, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Rosenberg Self-Esteem Scale, Multidimensional Scale of Perceived Social Support, Functional Assessment of Cancer Therapy-General Scale, and Functional Assessment of Chronic Illness Therapy-Spiritual questionnaires. We performed confirmatory factor analysis of the four structures of the QUAL-EC and exploratory factor analysis of the QUAL-EC-J. Internal consistency was assessed using Cronbach's α coefficient and validity was examined by calculating correlations with relevant scales. RESULTS: Confirmatory factor analysis showed an inadequate fit to the original QUAL-EC structure. Exploratory factor analysis revealed a three-factor structure of the QUAL-EC-J, with Cronbach's α values of 0.68-0.88. All subscales were negatively correlated with depression and anxiety. Each subscale was correlated with related measures: "symptom control" with "physical well-being"; "acceptance of disease and life" with "social and family well-being" and "meaning/peace"; and "preparation for end of life" with "emotional well-being" and "meaning/peace." CONCLUSIONS: The QUAL-EC-J has a three-factor structure with acceptable reliability and sufficient validity. Differences in the factor structure between the QUAL-EC-J and the QUAL-EC may be due to cultural factors. Study findings suggest that utilization of the QUAL-EC-J could help to improve research and clinical care in advanced cancer in Japan.

Thrombocytopenia and PT-INR in patients with anorexia nervosa and severe liver dysfunction.

BACKGROUND: We previously reported a case that led us to hypothesize that decreased production of thrombopoietin (TPO) leads to thrombocytopenia in patients with anorexia nervosa (AN) with severe liver dysfunction and that prolonged prothrombin time-international normalized ratio (PT-INR) predicts thrombocytopenia in such cases. To validate this hypothesis, we report another case in which TPO levels were measured. In addition, we examined the association between prolonged PT-INR and thrombocytopenia in such patients. MAIN BODY: Similar to the previously reported patient, a patient with AN with severe liver dysfunction showed that TPO levels increased after improvements in liver enzyme levels and PT-INR, followed by recovery of platelet count. In addition, a retrospective study was also conducted to review patients with AN whose liver enzyme levels were > 3 × the upper limit of normal (aspartate aminotransferase > 120 U/L or alanine aminotransferase > 135 U/L). The study included 58 patients and showed a correlation coefficient of -0.486 (95% confidence interval [CI], -0.661 to -0.260; P < 0.001) between maximum PT-INR and minimum platelet count. These patients showed higher PT-INR (ß, 0.07; 95% CI, 0.02 to 0.13; P = 0.005) and lower platelet count (ß, -5.49; 95% CI, -7.47 to -3.52; P < 0.001) than the 58 matched control patients without severe liver dysfunction, even after adjusting for body mass index. CONCLUSIONS: In patients with AN with severe liver dysfunction, prolongation of PT-INR could predict thrombocytopenia, which may be mediated by decreased TPO production due to decreased hepatic synthetic function.

Influence of dosing pattern of antipsychotics on treatment outcome of delirium in patients with advanced cancer.

BACKGROUND: Clinical guidelines recommend antipsychotics for the treatment of delirium; however, there has been no confirmed recommendation regarding their administrating patterns. This study aims to investigate whether different dosing patterns of antipsychotics (single or multiple administrations) influence the outcomes of delirium treatment. METHODS: This is a secondary analysis of a prospective observational study involving patients with advanced cancer and delirium receiving antipsychotics. The Delirium Rating Scale Revised-98 was administered at baseline and after 72 h of starting pharmacotherapy. Patients were classified into single administration group (received a single dosage within 24 h before the assessment) and multiple administration group (received more than one dosage). RESULTS: A total of 555 patients (single administration 492 (88.6%); multiple administration 63 (11.4%)) were subjected to analyses. The patients in the multiple administration group were more likely to be male, in psycho-oncology consulting settings, with lower performance status, with hyperactive delirium and with severer delirium symptoms. In the multivariate analysis, single administration was significantly associated with better improvement of delirium (p < 0.01, 95% confidence interval: 1.83-5.87) even after controlling covariates. There were no significant differences in the mean dosages of antipsychotics per day in chlorpromazine equivalent (single administration 116.8 mg/day, multiple administration 123.5 mg/day) and the incidence of adverse events between the two groups. CONCLUSIONS: In this observational study sample, Delirium Rating Scale severity score improvement in single administration was higher than that seen in multiple administration. There was no difference in adverse events between the two groups.

Developing Action Plans Based on Machine Learning Analysis to Prevent Sick Leave in a Manufacturing Plant.

OBJECTIVE: We aimed to develop action plans for employees' health promotion based on a machine learning model to predict sick leave at a Japanese manufacturing plant. METHODS: A random forest model was developed to predict sick leave. We developed plans for workers' health promotion based on variable importance and partial dependence plots. RESULTS: The model showed an area under the receiving operating characteristic curve of 0.882. The higher scores on the Brief Job Stress Questionnaire stress response, younger age, and certain departments were important predictors for sick leave due to mental disorders. We proposed plans to effectively use the Brief Job Stress Questionnaire and provide more support for younger workers and managers of high-risk departments. CONCLUSIONS: We described a process of action plan development using a machine learning model, which may be beneficial for occupational health practitioners.

Suicide, other externally caused injuries, and cardiovascular disease within 2 years after cancer diagnosis: A nationwide population-based study in Japan (J-SUPPORT 1902).

BACKGROUND: This study aimed to investigate the risk of death by suicide, other externally caused injuries (ECIs), or cardiovascular disease for patients with cancer. METHODS: We used data from the National Cancer Registry, which include the entire population in Japan. Patients diagnosed with cancer from January 1 to December 31, 2016 were included, and their follow-up period was set to 2 years. The standardized mortality ratio (SMR) of death by suicide, other ECIs, and cardiovascular disease was calculated compared with the general population. Multivariate Poisson or negative binomial regression analysis was used to quantify the adjusted relative risks of factors of interest. RESULTS: We evaluated 1,070,876 patients with cancer. The 2-year follow-up SMR was 1.84 (95% confidence interval [CI]: 1.71-1.99) for suicide, 1.30 (95% CI: 1.24-1.37) for other ECIs, and 1.19 (95% CI: 1.17-1.21) for cardiovascular disease. The SMR was higher with shorter follow-up periods but was significant 13-24 months after cancer diagnosis. The SMRs at 0-1 month and 13-24 months, respectively, were 4.40 (95% CI: 3.51-5.44) and 1.31 (95% CI: 1.14-1.50) for suicide; 2.27 (95% CI: 1.94-2.63) and 1.27 (95% CI: 1.18-1.37) for other ECIs; and 2.38 (95% CI: 2.27-2.50) and 1.07 (95% CI: 1.04-1.10) for cardiovascular disease. The multivariate analyses showed that patients with cancers other than localized tumors had significantly high relative risks of death for each cause. CONCLUSION: Suicide prevention countermeasures for patients with cancer, especially those with advanced disease immediately after diagnosis, are warranted.

Assessment and Treatment of Eating Disorders.

Eating disorders are serious psychiatric conditions in terms of chronicity and have the highest mortality rate among psychiatric disorders. The assessment and treatment of eating disorders are also challenging, due to patients' denial of their illness and reluctance for change. Despite a large number of previous assessment and treatment studies, new strategies to overcome these difficulties are still needed. This study casts light on four aspects; involvement of the brain's reward system, stages of change in relationship with motivation, refeeding syndrome during renourishment, and gut microbiota changes relating to chronicity. Further studies relating to these aspects are encouraged.

The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System.

BACKGROUND: Sleep is beneficial for physical and mental health. Several mobile and wearable sleep-tracking devices have been developed, and personalized sleep feedback is the most common functionality among these devices. To date, no study has implemented an objective push-type feedback message and investigated the characteristics of habitual sleep behavior and diurnal symptoms when receiving sleep feedback. OBJECTIVE: We conducted a mobile health intervention trial to examine whether sending objective push-type sleep feedback changes the self-reported mood, physical symptoms, and sleep behavior of Japanese office workers. METHODS: In total, 31 office workers (mean age 42.3, SD 7.9 years; male-to-female ratio 21:10) participated in a 2-arm intervention trial from November 30 to December 19, 2020. The participants were instructed to indicate their momentary mood and physical symptoms (depressive mood, anxiety, stress, sleepiness, fatigue, and neck and shoulder stiffness) 5 times a day using a smartphone app. In addition, daily work performance was rated once a day after work. They were randomly assigned to either a feedback or control group, wherein they did or did not receive messages about their sleep status on the app every morning, respectively. All participants wore activity monitors on their nondominant wrists, through which objective sleep data were registered on the web on a server. On the basis of the estimated sleep data on the server, personalized sleep feedback messages were generated and sent to the participants in the feedback group using the app. These processes were fully automated. RESULTS: Using hierarchical statistical models, we examined the differences in the statistical properties of sleep variables (sleep duration and midpoint of sleep) and daily work performance over the trial period. Group differences in the diurnal slopes for mood and physical symptoms were examined using a linear mixed effect model. We found a significant group difference among within-individual residuals at the midpoint of sleep (expected a posteriori for the difference: -15, 95% credible interval -26 to -4 min), suggesting more stable sleep timing in the feedback group. However, there were no significant group differences in daily work performance. We also found significant group differences in the diurnal slopes for sleepiness (P<.001), fatigue (P=.002), and neck and shoulder stiffness (P<.001), which was largely due to better scores in the feedback group at wake-up time relative to those in the control group. CONCLUSIONS: This is the first mobile health study to demonstrate that objective push-type sleep feedback improves sleep timing of and physical symptoms in healthy office workers. Future research should incorporate specific behavioral instructions intended to improve sleep habits and examine the effectiveness of these instructions.

Development of computer adaptive testing for measuring depression in patients with cancer.

The usefulness of depression scales for patients with cancer based on item response theory (IRT) and computer adaptive testing (CAT) has not yet been fully explored. This study thus aimed to develop an IRT-based tool for measuring depression in patients with cancer. We analyzed data from 393 patients with cancer from four tertiary centers in Japan who had not received psychiatric treatment. They answered 62 questions across five categories regarding their psychiatric status over the previous week. We selected 28 items that satisfied the assumptions of IRT, fitted a graded response model to these items, and performed CAT simulations. The CAT simulation used an average of 6.96 items and showed a Pearson's correlation coefficient of 0.916 (95% confidence interval, 0.899-0.931) between the degree of depression estimated by simulation and that estimated using all 28 items. The measurement precision of CAT with only four items was superior to that of the estimation using the calibrated Patient Health Questionnaire-9. These results imply that this scale is useful and accurate for measuring depression in patients with cancer.