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A Community-Based Intervention to Enhance Subjective Well-Being in Older Adults: Study Design and Baseline Participant Profiles.

Tsubasa NakadaTakako KozawaSatoshi SeinoShinichi MurotaMiki EtoJunko ShimasawaYumiko ShimizuShinobu TsuruganoFuminori KatsukawaKazunori SakamotoHironori WashizakiYo IshigakiMaki SakamotoKeiki TakadamaKeiji YanaiOsamu MatsuoChiyoko KameueHitomi SuzukiKayo KurotaniKazunori Ohkawara
Published in: Healthcare (Basel, Switzerland) (2024)
Promoting subjective well-being is a crucial challenge in aging societies. In 2022, we launched a community-based intervention trial (the Chofu-Digital-Choju Movement). This initiative centered on fostering in-person and online social connections to enhance the subjective well-being of older adults. This paper describes the study design and baseline survey. This quasi-experimental study involved community-dwelling older adults aged 65-84 years in Chofu City, Tokyo, Japan. A self-administered questionnaire was distributed to 3742 residents (1681 men and 2061 women), and a baseline survey was conducted in January 2022. We assessed subjective well-being (primary outcome); psychosocial, physical, and dietary factors; and the use of information and communication technology variables (secondary outcomes) among the participants. After the intervention involving online classes, community hubs, and community events, a 2-year follow-up survey will be conducted to evaluate the effects of the intervention, comparing the intervention group (participants) with the control group (non-participants). We received 2503 questionnaires (66.9% response rate); of these, the analysis included 2343 questionnaires (62.6% valid response rate; mean age, 74.4 (standard deviation, 5.4) years; 43.7% male). The mean subjective well-being score was 7.2 (standard deviation, 1.9). This study will contribute to the development of a prototype subjective well-being strategy for older adults.
Keyphrases
  • randomized controlled trial
  • mental health
  • physical activity
  • sleep quality
  • cross sectional
  • healthcare
  • health information
  • social media
  • clinical trial
  • psychometric properties
  • depressive symptoms
  • neural network