Resilience quotient and related factors of papers industrial employees in Nakhon Pathom Province.
Keywords:
Resilience quotient, employees, Nakornpathom ProvinceAbstract
Background : Resilience quotient is major internal potential of individual to cope with the problems and adapt himself/herself appropriately to current situation and even in crisis. Workers in industrial plants are considered as a group of people facing livelihood challenges caused by their own life status and surrounding environment. Therefore, the authors are interested to study the resilience quotient of workers in paper mill industry and related factors.
Objective : To study the nature of the resilience quotient of workers in paper mill industry and related factors.
Design : Cross – sectional descriptive study is used in this study.
Setting : Paper mills in Nakornpathom Province.
Materials and Methods : The sample of this study are 330 workers aged 25 - 60 years in paper mills in Nakornpathom Province. The research instruments are as follows.1) Demographic questionnaire, 2) Resilience Quotient Questionnaire, 3) Life Stress Events Questionnaire, and 4) Family Relationships Questionnaire. This study uses Univariate analysis including t-test and One-way ANOVA to test the factors affecting resilience quotient. Stepwise Multiple Regression Analysis is used to identify factors predicting resilience quotient.
Results : The findings are that overall workers’ resilience quotient is at normal level.64.5% of the sample have resilience quotient at normal level. 23.3% and 12.1% of the sample have resilience quotient at below normal level and above normal level, respectively. Five categories of factors affecting resilience quotient include gender (p <0.05), age (p <0.001), working duration (p <0.05), life stress event (p <0.001), and Family Relationship (p <0.01). Multi Regression analysis shows that factors predicting workers’ resilience quotient include age (positive predictor), life stress event (Negative predictor), and family relationship (positive predictor). Those factors together predict workers’ resilience quotient at 34.8%.
Conclusion : Most samples of the sample have normal resilience quotient. Knowing the risk factors can be beneficial for making preventive plan and resilience quotient promotion for industrial workers in paper mills.
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