Authors (including presenting author) :
Jim TT(1), Hui CY(1), Ho ECM(2)
Affiliation :
(1) Occupational Therapy Department, North District Hospital
(2) Occupational Therapy Department, Tai Po Hospital
Keyword 3: :
Occupational balance
Keyword 4: :
Mood disorders
Introduction :
Imbalanced lifestyles are common in individuals with mood disorders, perpetuating negative emotions. To address this, a six-session lifestyle redesign group program was developed, consisting of psychoeducation on occupational balance, value and role exploration, goal-setting, and cognitive-behavioral strategies.The HA Go video program augments this program by providing structured, readily accessible and on-demand support which enables patients’ behavioral initiation, change in habit and coping skills.
Objectives :
This pilot study aimed to evaluate the effectiveness of this enhanced program on (1) occupational balance, (2) well-being, and (3) changes in coping behaviors.
Methodology :
From July to December 2025, 26 patients with depression and/or anxiety were recruited. A single-group, pretest-posttest design was utilized to evaluate effect on perceived occupational balance and mental well-being using the Occupational Balance–Quest (OB-Q) and the WHO-5 Well-Being Index (WHO-5), respectively. Patients’ satisfaction, confidence and behavioral changes were evaluated using a self-report scale.
Result & Outcome :
Statistically significant improvements were observed in perceived occupational balance (Z = 3.30, p = .001) and mental well-being (t(25) = 3.40, p = .002). A majority of participants (92%) reported high satisfaction with the program. Nearly three-quarters of participants felt highly confident in creating a balanced lifestyle and emotional management. Moreover, 70% of participants had already begun to improve lifestyle and emotional regulation.
This pilot study demonstrates that this enhanced program successfully enables patients with mood disorders to change behavior, restore lifestyle balance, and improve mental well-being. Future study with larger sample size is recommended to improve robustness and generalizability of the findings.
