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Table · dataset · 2026

Data Sheet 1_A culturally tailored Zhuang embroidery intervention for psychological well-being among Zhuang adults in the retirement transition in Guangxi: a waitlist-controlled quasi-experimental study.pdf

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Background<p>Arts- and craft-based community programs may support psychological well-being in later life, yet few studies have examined culturally tailored ethnic heritage crafts as public health interventions in their communities of origin.</p>Methods<p>This waitlist-controlled quasi-experimental study evaluated an eight-week intervention integrating Zhuang embroidery practice, cultural storytelling, and group exchange among community-dwelling Zhuang adults aged 55–65 years in Guangxi, China.

Eighty participants were allocated by community cluster to intervention or waitlist control groups and assessed at baseline, immediately post-intervention, and 12-week follow-up. Psychological well-being was the primary outcome; loneliness, social connectedness, general well-being, ethnic identity, process perception, and qualitative interview findings were secondary or exploratory materials.</p>Results<p>The intervention group showed greater immediate improvement in Ryff psychological well-being than waitlist controls.

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Baseline-adjusted sensitivity analysis supported the immediate Ryff signal, whereas the follow-up difference was attenuated. Secondary outcomes were less consistent: WEMWBS and loneliness showed short-term favorable movement, whereas social connectedness, WHO-5, and ethnic identity findings were weaker or exploratory. Process ratings and interviews suggested that participants recognized the cultural storytelling, needlework, and group exchange components.</p>Conclusion<p>The integrated Zhuang embroidery intervention appears feasible and shows preliminary promise for psychological well-being among retirement-transition Zhuang adults.

Because allocation occurred at the cluster level and the intervention combined embroidery practice, cultural storytelling, and group exchange, the findings cannot separate intervention-related signals from community differences, expectancy effects, or component-specific effects. Larger multi-community and component-separated studies with longer follow-up are needed before drawing confirmatory efficacy or mechanism conclusions.</p>

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