Journal of Advances in Health and Medical Sciences
Journal ISSN: 2517-9616
Article DOI:
Received: 27 July 2014
Accepted: 28 July 2015
Published: 15 October 2015
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  • Socio-demographic determinants of leisure participation among female academicians in universiti putra malaysia

Mahmud ZY, Minhat HS, Mahmud

Published online: 2016


A cross-sectional design was employed among female academicians in (UPM. Participants were selected by sample random sampling using SPSS software. Questionnaire used is validated and reliable consisting of six sections, socio- demographic factors social support, time constraints, accessibility to facilities, health status and non-physical activity. Socio-demography were measured based on simple frequencies and percentage, social support, time constraints variables were measured using a 5-point likert scale which ranging from 1 to 5 and non-physical activity were measured using a 5 point likert scale which ranging from 0 to 4. Accessibility to facilities and health status were measured using normal scale (Yes=1, No=0). Data was collected from December 2014 to March 2015. The data was analyzed using Statistical Package for Social Science (SPSS) version 22.0 software. Simple descriptive, independent t- test and multiple linear logistics regression were used to determine predictor of leisure participation. The level of significance was set at 0.05. A total of 654 respondents participated in the study (Response rate 75%). Factors found associated with leisure participation were age, (r-0.281, p<=0.001), years of service (r- 0.229, p=<0.001),ethnicity (t=-3.170, p<=0.001), religion (t= 4.347, p<=0.001), marital status (t= 2.905, p<=0.001) and academic position (t=5.489, p=0.001). No association was found between country of origin and social support, time constraints, accessibility to facilities and health status with leisure participation. Social support from family (t=-0.1084, p=<0.854), friends (t=-0.672, p=<0.502). In non-physical activity also some of variables were found significant and other variables found to be insignificant. Multiple linear regression analysis reveals age (– 0.119) is the only predictor of leisure participation. The model explained 9.8% variance of leisure participation. The second model also age predicting leisure participation. Conclusion: This study found female academicians they have less involved in leisure participation and several factors influence less level of participation into leisure activities, notwithstanding study recommended that female academicians should be engaged and enlightening on the importance of leisure participation especially among women who advance in age.