Association between Occupational Dysfunction and Social Isolation in Japanese Older Adults: A Cross-Sectional Study

The Effect of IVF Treatments for Infertility on Occupational Balance

The utilization of assisted reproductive technologies (ART), including in vitro fertilization (IVF), has doubled in the past decade. The occupational balance of women undergoing infertility and its treatments is unknown. A qualitative study to investigate the occupational balance of women undergoing IVF for infertility was completed. Ten women currently undergoing or having undergone IVF were interviewed. Thematic analysis was used to analyze the effect of IVF on occupational balance. Three themes emerged, tunnel vision, it's all on me, and I'm not enough, highlighting the challenges faced by women during the IVF journey that affect their occupational balance. Participants reported a lack of occupational balance due to the intense focus on IVF, overwhelming responsibilities, inadequate support, anxiety, depression, and self-doubt. Comprehensive, holistic support and intervention are necessary to address the occupational well-being of women undergoing IVF and can be provided by OTPs.

Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study

The study explored cross-sectional associations between loneliness and occupational dysfunction in community-dwelling older adults. Seventy-four older adults (12 men and 62 women; mean age 73.9 ± 8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. For model selection, we assumed a univariate analysis model of the CAOD (Model 1); a multivariate analysis model, including confounding factors in Model 1 (Model 2); and a multivariate analysis model, including random effects in Model 2 (Model 3). The best model was selected by comparing the widely applicable information criterion (WAIC) and the widely applicable Bayesian information criterion (WBIC) for each model. Bayesian statistics with the dependent variable as "loneliness" showed that the best model used "occupational dysfunction" as the independent variable and included confounding factors and random effects (WAIC = 474.5 and WBIC = 213.1). The best model identified an association between occupational dysfunction and loneliness (odds ratio [OR] = 2.363; 95% Bayesian confidence interval [CI] = 1.105-5.259). This study highlights the role of occupational dysfunction in addition to the risks and related factors reported to date when dealing with loneliness. Therapists could help older adults cope with loneliness by supporting their social participation and improving their occupational dysfunction.

Differences in college students' occupational dysfunction and mental health considering trait and state anxiety during the COVID-19 pandemic

Background

Due to the COVID-19 pandemic, university education has shifted from face-to-face classes to online and distance learning. Effects of exposure may manifest in terms of psychological, cognitive, or musculoskeletal impairments that affect an individual's daily functioning and quality of life. There is a dearth of studies exploring anxiety states, occupational dysfunction, and mental health associated with the new standard of increased telecommunication. Accordingly, the present study aimed to identify the differences in occupational dysfunction, health literacy, positive and negative emotions, and stress response considering the anxiety states of college students during the COVID-19 pandemic. Another purpose is to identify relationships among the parameters such as occupational dysfunction and mental health.

Methods

This cross-sectional study included 358 students (average age: 18.5 years, age range: 18-29 years). Five tools were used: the State-Trait Anxiety Inventory (STAI), Classification and Assessment of Occupational Dysfunction (CAOD), European Health Literacy Survey Questionnaire (HLS-EU-Q47), Profile of Mood States 2nd Edition (POMS-2), and Stress Response Scale-18 (SRS-18). Based on the cutoff value of state and trait anxiety of the STAI, the participants were classified into four groups and compared using one-way analysis of variance and multiple comparison tests. The relationship between all parameters was analyzed using Pearson's correlation coefficient.

Results

The group with high trait anxiety and high state anxiety had the highest CAOD total score, Total Mood Disturbance score on the POMS-2, SRS-18 score, and scores on many sub-items of the three parameters. The prevalence of occupational dysfunction was 47% for university students, and there was a variation of from 19 to 61% in each group. The correlation coefficients of the state and trait anxiety scores of the STAI, Total Mood Disturbance score, and SRS-18 ranged from .64 to .75. Additionally, the correlation coefficient between the CAOD total score and these parameters ranged from .44 to .48.

Conclusion

The prevalence of occupational dysfunction was highest in the group with high trait anxiety and high state anxiety, and occupational dysfunction, negative emotions, and stress responses were strongest in this group. Our findings point to potential areas for targeted support and interventions.