The Relationships of Leisure Coping Strategies, Stress, and Health of China Airlines Stewardess

碩士 === 國立東華大學 === 觀光暨遊憩管理研究所 === 92 === From the perspective of leisure benefit, the purpose of the study was to explore the leisure coping strategies of stewardess, and its relationship to their life stress and physical and mental health. The population was the Taiwanese stewardess of China Airline...

Full description

Bibliographic Details
Main Authors: Hsi-Te Yu, 余緒德
Other Authors: Yi-Chung Hsu
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/98371570639026854348
Description
Summary:碩士 === 國立東華大學 === 觀光暨遊憩管理研究所 === 92 === From the perspective of leisure benefit, the purpose of the study was to explore the leisure coping strategies of stewardess, and its relationship to their life stress and physical and mental health. The population was the Taiwanese stewardess of China Airlines. Using the stratified sampling method, this study collected 388 useful questionnaires during February 25 to March 25, 2004. The results indicated that (1) the major stress of the stewardess come from their work and its irregularities. (2) Within leisure coping strategies, the leisure mood enhancement subscale score highest, followed by leisure palliative coping and leisure companionship. (3) Life stress are negatively correlated with physical and mental health. (4) Life stress are positively correlated with leisure coping strategies, leisure coping strategies and coping outcomes are positively correlated with physical and mental health. (5) The physical and mental health of those highest stress quartile using highest coping strategies are significantly healthier than those quartile using lowest coping strategies. Three conclusions were drawn. (1) The life stress of the stewardess are quite high and negatively impact their physical and mental health. (2) In terms of reducing stress, leisure plays an important role, however, the leisure coping strategies tend to be passive. (3) A physical and mental prediction model is obtained. Suggestions were made for the management of China Airlines and future studies.