RESUMEN
OBJECTIVE: This study aimed to examine the feasibility and effectiveness of online group psychotherapy focused on self-compassion for individuals experiencing bereavement-related grief. METHOD: This single-arm feasibility trial involved participants aged 18 years or older who had experienced bereavement at least 6 months prior the five-week intervention. Outcomes were measured at baseline, immediately post-intervention, and 4 and 12 weeks later. The primary endpoint was the percentage of participants who completed four out of five sessions; the pre-defined feasibility criterion was 70%. Secondary endpoints included measures of grief, depression, anxiety, self-compassion, and resilience. RESULTS: The program was conducted in three courses with 18, 26, and 16 participants, respectively. The primary endpoint was met for 83.1% of participants (54/65). Cohen's d effect sizes ([95% CI] 12 weeks vs. baseline) for grief, depression, anxiety, self-compassion, and resilience were - 0.25 [-0.52, 0.03], -0.64 [-0.94, -0.34], -0.48 [-0.77, -0.19], 0.50 [0.21, 0.79], and - 0.07 [-0.34, 0.21], respectively. CONCLUSIONS: Online group psychotherapy focused on self-compassion for individuals with bereavement-related grief is feasible and effective for addressing grief and psychological distress. Randomized controlled trials are warranted to confirm the intervention's efficacy. TRIAL REGISTRATION NUMBER: UMIN000048554, registered 2 August 2022.
RESUMEN
BACKGROUND: One life event that requires extensive resilience and adaptation is parenting. However, resilience and perceived support in child-rearing vary, making the real-world situation unclear, even with postpartum checkups. OBJECTIVE: This study aimed to explore the psychosocial status of mothers during the child-rearing period from newborn to toddler, with a classifier based on data on the resilience and adaptation characteristics of mothers with newborns. METHODS: A web-based cross-sectional survey was conducted. Mothers with newborns aged approximately 1 month (newborn cohort) were analyzed to construct an explainable machine learning classifier to stratify parenting-related resilience and adaptation characteristics and identify vulnerable populations. Explainable k-means clustering was used because of its high explanatory power and applicability. The classifier was applied to mothers with infants aged 2 months to 1 year (infant cohort) and mothers with toddlers aged >1 year to 2 years (toddler cohort). Psychosocial status, including depressed mood assessed by the Edinburgh Postnatal Depression Scale (EPDS), bonding assessed by the Postpartum Bonding Questionnaire (PBQ), and sleep quality assessed by the Pittsburgh Sleep Quality Index (PSQI) between the classified groups, was compared. RESULTS: A total of 1559 participants completed the survey. They were split into 3 cohorts, comprising populations of various characteristics, including parenting difficulties and psychosocial measures. The classifier, which stratified participants into 5 groups, was generated from the self-reported scores of resilience and adaptation in the newborn cohort (n=310). The classifier identified that the group with the greatest difficulties in resilience and adaptation to a child's temperament and perceived support had higher incidences of problems with depressed mood (relative prevalence [RP] 5.87, 95% CI 2.77-12.45), bonding (RP 5.38, 95% CI 2.53-11.45), and sleep quality (RP 1.70, 95% CI 1.20-2.40) compared to the group with no difficulties in perceived support. In the infant cohort (n=619) and toddler cohort (n=461), the stratified group with the greatest difficulties had higher incidences of problems with depressed mood (RP 9.05, 95% CI 4.36-18.80 and RP 4.63, 95% CI 2.38-9.02, respectively), bonding (RP 1.63, 95% CI 1.29-2.06 and RP 3.19, 95% CI 2.03-5.01, respectively), and sleep quality (RP 8.09, 95% CI 4.62-16.37 and RP 1.72, 95% CI 1.23-2.42, respectively) compared to the group with no difficulties. CONCLUSIONS: The classifier, based on a combination of resilience and adaptation to the child's temperament and perceived support, was able identify psychosocial vulnerable groups in the newborn cohort, the start-up stage of childcare. Psychosocially vulnerable groups were also identified in qualitatively different infant and toddler cohorts, depending on their classifier. The vulnerable group identified in the infant cohort showed particularly high RP for depressed mood and poor sleep quality.