Latent Class Analysis of Environmental Behavior and Psychological Well-Being: Insights into Sustainable Well-Being Practices

被引:2
作者
Bostan, Ayse [1 ]
Balcioglu, Yavuz Selim [1 ]
Elci, Meral [1 ]
机构
[1] Gebze Tech Univ, Business Adm, Cumhuriyet 2254,Sk 2, TR-41400 Gebze, Kocaeli, Turkiye
关键词
environmental behavior; job satisfaction; burnout; latent class analysis; psychological well-being; MENTAL-HEALTH; CLIMATE-CHANGE; EVERYDAY LIFE; ECO-ANXIETY; JUSTICE; COMMUNITY; INEQUITY;
D O I
10.3390/su162310205
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study explores the relationship between environmental behavior, job satisfaction, performance, and burnout using latent class analysis (LCA) to identify distinct behavioral patterns. Data were collected from 537 participants in various sectors, including education and health. Five latent classes were identified based on the participation of participants in sustainable practices. The analysis revealed significant differences in job satisfaction, with higher participation in sustainable behaviors generally associated with greater job satisfaction. Although performance remained stable across classes, burnout levels varied significantly, with some groups showing higher levels of stress and burnout and others demonstrating better psychological outcomes. The results confirm that sustainable behaviors are linked to psychological well-being, emphasizing the importance of fostering sustainability in the workplace to enhance employee well-being. The study highlights the need for targeted interventions to address burnout and promote sustainability in organizational settings. Future research should explore these dynamics longitudinally and across diverse occupational and cultural contexts.
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页数:25
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