Assessment of Stress and Well-Being of Japanese Employees Using Wearable Devices for Sleep Monitoring Combined With Ecological Momentary Assessment: Pilot Observational Study.

BACKGROUND: Poor sleep quality can elevate stress levels and diminish overall well-being. Japanese individuals often experience sleep deprivation, and workers have high levels of stress. Nevertheless, research examining the connection between objective sleep assessments and stress levels, as well as overall well-being, among Japanese workers is lacking. OBJECTIVE: This study aims to investigate the correlation between physiological data, including sleep duration and heart rate variability (HRV), objectively measured through wearable devices, and 3 states (sleepiness, mood, and energy) assessed through ecological momentary assessment (EMA) and use of rating scales for stress and well-being. METHODS: A total of 40 office workers (female, 20/40, 50%; mean age 40.4 years, SD 11.8 years) participated in the study. Participants were asked to wear a wearable wristband device for 8 consecutive weeks. EMA regarding sleepiness, mood, and energy levels was conducted via email messages sent by participants 4 times daily, with each session spaced 3 hours apart. This assessment occurred on 8 designated days within the 8-week timeframe. Participants' stress levels and perception of well-being were assessed using respective self-rating questionnaires. Subsequently, participants were categorized into quartiles based on their stress and well-being scores, and the sleep patterns and HRV indices recorded by the Fitbit Inspire 2 were compared among these groups. The Mann-Whitney U test was used to assess differences between the quartiles, with adjustments made for multiple comparisons using the Bonferroni correction. Furthermore, EMA results and the sleep and HRV indices were subjected to multilevel analysis for a comprehensive evaluation. RESULTS: The EMA achieved a total response rate of 87.3%, while the Fitbit Inspire 2 wear rate reached 88.0%. When participants were grouped based on quartiles of well-being and stress-related scores, significant differences emerged. Specifically, individuals in the lowest stress quartile or highest subjective satisfaction quartile retired to bed earlier (P<.001 and P=.01, respectively), whereas those in the highest stress quartile exhibited greater variation in the midpoint of sleep (P<.001). A multilevel analysis unveiled notable relationships: intraindividual variability analysis indicated that higher energy levels were associated with lower deviation of heart rate during sleep on the preceding day (ß=-.12, P<.001), and decreased sleepiness was observed on days following longer sleep durations (ß=-.10, P<.001). Furthermore, interindividual variability analysis revealed that individuals with earlier midpoints of sleep tended to exhibit higher energy levels (ß=-.26, P=.04). CONCLUSIONS: Increased sleep variabilities, characterized by unstable bedtime or midpoint of sleep, were correlated with elevated stress levels and diminished well-being. Conversely, improved sleep indices (eg, lower heart rate during sleep and earlier average bedtime) were associated with heightened daytime energy levels. Further research with a larger sample size using these methodologies, particularly focusing on specific phenomena such as social jet lag, has the potential to yield valuable insights. TRIAL REGISTRATION: UMIN-CTR UMIN000046858; https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000053392.

Association of night-shift work with gambling and problem gambling among workers in Japan: A nationwide cross-sectional study.

BACKGROUND AND AIMS: Night-shift work disturbs sleep and is associated with poor health conditions among workers. We aimed to investigate the association between night-shift work and gambling among workers and the association between night-shift work and problem gambling in working and gambling participants. METHODS: This cross-sectional study used data from an online survey conducted between February 6 and 27, 2023 in Japan. A total of 21,134 workers participated in this study, including 9,739 respondents who had gambled in the past year. We estimated the association between night-shift work and gambling among workers and the association between night-shift work and problem gambling among those who gambled at the survey. We defined problem gambling as a score ≥ 8 on the Problem Gambling Severity Index. All estimates were weighted using a nationally representative survey in Japan. We fitted multivariable weighted logistic regression models after adjusting for 14 confounders. RESULTS: The weighted prevalence of gambling among non-night and night-shift workers was 42.1 % and 55.4 %, respectively. When focusing on workers gambling in the survey, the prevalence of problem gambling among non-night and night-shift workers was 8.8 % and 24.2 %, respectively. The weighted multivariable logistic regression analyses showed that night-shift work was associated with gambling participation among workers (adjusted odds ratio [aOR], 1.39, 95 % confidence interval [CI] 1.25-1.53, p < 0.001). In addition, night-shift work was associated with problem gambling among those who gambled (aOR 1.94, 95 % CI 1.57-2.40, p < 0.001). CONCLUSIONS: Night-shift work was associated with gambling among workers and with problem gambling among those who gambled.

Risk and protective factors for early dropout from telephone monitoring for individuals with drug convictions in community mental health centers in Japan.

INTRODUCTION: Individuals involved with the criminal justice system face challenges in receiving and maintaining substance use disorder (SUD) treatment and support. Although telephone monitoring (TM) could reduce these barriers, data on TM for community-dwelling individuals involved with the criminal justice system and research on individuals who drop out of TM are scarce. We examined the factors associated with dropping out early from the Voice Bridges Project, which provides TM for individuals on probation for drug-related convictions through community mental health centers in Japan. METHODS: Participants (n = 546) were individuals aged ≥20 years with methamphetamine-related convictions who were on probation. Univariate analyses examine the associations between one-year follow-up status and baseline variables, and multivariate Cox proportional hazards regression analyses identify the risk and protective factors associated with dropping out. Stratified analyses report results based on sex and halfway-house residency. RESULTS: The one-year dropout rate was 43.6 % (n = 238). Multivariate analysis identified two risk factors for dropping out-halfway-house residency and suicide attempts in the past year, and two protective factors-higher education and the current use of SUD services. Sex-stratified analyses showed that halfway-house residency was a risk factor for both men and women. Attempted suicide was a risk factor for women. Conversely, higher education and current use of SUD services were protective factors for men. CONCLUSIONS: Our results identify unique risk factors for women, such as a recent history of suicide attempts, and distinctive protective factors for men, including higher education and current use of SUD services, emphasizing the importance of sex-specific approaches. Furthermore, the study reveals that irrespective of sex, vulnerable individuals, such as halfway-house residents, are at a higher risk of dropping out from TM.

Associations between glycemic variability, sleep quality, and daily steps in subjects without diabetes using wearable devices.

Background: Since there are limited studies on the associations between glycemic variability (GV) and sleep quality or physical activity in subjects without diabetes, we evaluated the associations between GV, as assessed by continuous glucose monitoring (CGM), and both sleep quality and daily steps using wearable devices in healthy individuals. Methods: Forty participants without diabetes were monitored by both an intermittently scanned CGM and a smartwatch-type activity tracker for 2 weeks. The standard deviation (SD) and coefficient of variation (CV) of glucose were evaluated as indices of GV. The activity tracker was used to calculate each participant's average step count per day. We also calculated sleep duration, sleep efficiency, and sleep latency based on data from the activity tracker. Spearman's correlation coefficient was used to assess the association between GV and sleep indices or daily steps. For each participant, periods were divided into quartiles according to step counts throughout the day. We compared mean parameter differences between the periods of lowest quartile and highest quartile (lower 25% and upper 25%). Results: SD glucose was significantly positively correlated with sleep latency (R = 0.23, P < 0.05). There were no significant correlations among other indices in GV and sleep quality (P > 0.05). SD glucose and CV glucose levels in the upper 25% period of daily steps were lower than those in the lower 25% period in each participant (both, P < 0.01). Conclusion: In subjects without diabetes, GV evaluated by intermittently scanned CGM was positively associated with the time to fall asleep. Furthermore, GV in the days of larger daily steps was decreased compared to the days of smaller daily steps in each participant.

Assessment of glycemic variability and lifestyle behaviors in healthy nondiabetic individuals according to the categories of body mass index.

BACKGROUND: There are limited data about the association between body mass index (BMI), glycemic variability (GV), and life-related factors in healthy nondiabetic adults. METHODS: This cross-sectional study was carried out within our ethics committee-approved study called "Exploring the impact of nutrition advice on blood sugar and psychological status using continuous glucose monitoring (CGM) and wearable devices". Prediabetes was defined by the HbA1c level of 5.7-6.4% and /or fasting glucose level of 100-125 mg/dL. Glucose levels and daily steps were measured for 40 participants using Free Style Libre and Fitbit Inspire 2 under normal conditions for 14 days. Dietary intakes and eating behaviors were assessed using a brief-type self-administered dietary history questionnaire and a modified questionnaire from the Obesity Guidelines. RESULTS: All indices of GV were higher in the prediabetes group than in the healthy group, but a significant difference was observed only in mean amplitude of glycemic excursions (MAGE). In the multivariate analysis, only the presence of prediabetes showed a significant association with the risk of higher than median MAGE (Odds, 6.786; 95% CI, 1.596-28.858; P = 0.010). Additionally, the underweight (BMI < 18.5) group had significantly higher value in standard deviation (23.7 ± 3.5 vs 19.8 ± 3.7 mg/dL, P = 0.038) and coefficient variability (22.6 ± 4.6 vs 18.4 ± 3.2%, P = 0.015), compared to the normal group. This GV can be partially attributed to irregularity of eating habits. On the contrary, the overweight (BMI ≥ 25) group had the longest time above the 140 or 180 mg/dL range, which may be due to eating style and taking fewer steps (6394 ± 2337 vs 9749 ± 2408 steps, P = 0.013). CONCLUSIONS: Concurrent CGM with diet and activity monitoring could reduce postprandial hyperglycemia through assessment of diet and daily activity, especially in non- normal weight individuals.

Racial/Ethnic Disparities in Mutual Help Group Participation for Substance Use Problems.

Mutual help groups are a ubiquitous component of the substance abuse treatment system in the United States, showing demonstrated effectiveness as a treatment adjunct; so, it is paramount to understand whether they are as appealing to, and as effective for, racial or ethnic minority groups as they are for Whites. Nonetheless, no known comprehensive reviews have examined whether there are racial/ethnic disparities in mutual help group participation. Accordingly, this study comprehensively reviewed the U.S. literature on racial/ethnic disparities in mutual help participation among adults and adolescents with substance use disorder treatment need. The study identified 19 articles comparing mutual help participation across specific racial/ethnic minority groups and Whites, including eight national epidemiological studies and 11 treatment/community studies. Most compared Latinx and/or Black adults to White adults, and all but two analyzed 12-step participation, with others examining "self-help" attendance. Across studies, racial/ethnic comparisons yielded mostly null (N = 17) and mixed (N = 9) effects, though some findings were consistent with a racial/ethnic disparity (N = 6) or minority advantage (N = 3). Findings were weakly suggestive of disparities for Latinx populations (especially immigrants, women, and adolescents) as well as for Black women and adolescents. Overall, data were sparse, inconsistent, and dated, highlighting the need for additional studies in this area.

Ambivalent attendees: Transitions in group affiliation among those who choose a 12-step alternative for addiction.

BACKGROUND: Mutual-help alternatives for addiction are numerous, and research attests to the benefits of involvement in such alternatives. Yet, virtually nothing is known about affiliation patterns over time among 12-step alternatives. We investigated the patterns, correlates, and outcomes of transitions in affiliation (including changing groups and dropping out) within alternatives for alcohol problems. METHODS: We analyzed data from the Peer ALternatives for Addiction (PAL) Study, a longitudinal study comparing the nature and effectiveness of 12-step groups, WFS, LifeRing, and SMART (N = 647). First, using all data, we compared affiliation patterns over time across 12-step and 12-step alternative members at baseline. Second, analyzing exclusively 12-step alternative members at baseline, we compared baseline characteristics and 6-month outcomes of those who changed and dropped out of (vs. retained) their primary groups at 6 months. RESULTS: While drop-out rates were low, and similar, across groups, members of the alternatives were more likely (vs. 12-step) to change groups at 6 months, and transitioned predominantly to 12-step. Further, among the 12-step alternatives, both changing groups and dropping out was associated with lower group cohesion and satisfaction. Meanwhile, in multivariate analyses of 6-month outcomes, changing (vs. retaining) groups robustly predicted lower cohesion, higher negative affect, and lower quality of life, whereas dropping out was associated with lower odds of alcohol abstinence. CONCLUSIONS: While dropping out is known to be risky, changing groups is more common among the 12-step alternatives, and connotes risk of future problems that may be partially explained by dissatisfaction with the new group (usually 12-step).