Stress, Lifestyle, and Holistic Wellbeing: A Regenerative Systems Thinking Analysis for Textile Workers

Published: 13 June 2026| Version 1 | DOI: 10.17632/x5w5df386p.1
Contributor:
Viyakula Mary Amaldhass

Description

This manuscript examines the interrelationships between perceived stress, lifestyle behaviours, and holistic wellbeing among textile and garment workers in Tiruppur, India. Drawing on a regenerative systems-thinking framework, the study explores how workplace pressures, migration experiences, social support, family relationships, and behavioural factors interact to shape worker wellbeing. The findings highlight the dynamic feedback loops linking stress, physical activity, sleep, nutrition, and social connectedness, demonstrating that wellbeing is influenced not only by individual behaviours but also by broader social and organizational structures. The study contributes to sociological discussions on labour, migration, gendered vulnerabilities, worker wellbeing, and social inequality within global textile supply chains. By adopting a systems perspective, it offers insights into how structural conditions and everyday social relations influence resilience and wellbeing among industrial workers. The paper further proposes system-level recommendations for employers, policymakers, worker organizations, and community stakeholders to promote sustainable and regenerative workplace wellbeing.

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Steps to reproduce

Download the dataset and accompanying questionnaire from the repository. Import the dataset into SPSS (or equivalent statistical software). Verify data coding and variable labels as described in the codebook. Calculate Perceived Stress Scale (PSS-10) scores according to the standard scoring procedure. Generate descriptive statistics for demographic characteristics, perceived stress, lifestyle behaviours, social support, and wellbeing indicators. Conduct reliability analysis (Cronbach's alpha) for multi-item scales. Perform correlation analyses to examine associations among perceived stress, lifestyle behaviors, social support, and well-being variables. Conduct regression analyses to identify predictors of perceived stress and well-being outcomes. Interpret the findings using the regenerative systems-thinking framework, mapping relationships into reinforcing and balancing feedback loops. Compare the results with those reported in the manuscript.

Categories

Social Science Experimental Research

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