Predictors of health-promoting behaviour index among employees of different ages across adulthood
Employees who have health problems are often less productive at work. Example of health behaviours are considered costly and risky are smoking, excessive alcohol consumption, poor diet, and lack of physical activity. To control costs and improve health, employers seek solutions that will enhance e...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/6489/1/FH02-FPP-19-32741.pdf http://eprints.unisza.edu.my/6489/ |
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| Summary: | Employees who have health problems are often less productive at work. Example of health behaviours are considered
costly and risky are smoking, excessive alcohol consumption, poor diet, and lack of physical activity. To control costs
and improve health, employers seek solutions that will enhance employee health habits and increase the
appropriateness or coordination of their health care. Generation X of Malaysia’s population is expected to increase to
5.6 million, accounting for 15% per cent of the total population in Malaysia. Given the size of these generations, their
continued health into older age is essential to ensure the stability of Malaysia’s workforce and economy. Studies on the
influence of social support on the health-promoting of employees who maintain close contact with their family and
friends associated themselves with better satisfaction. The aims of this study are to assess the predictors of social
support on health-promoting behaviour and to develop a health-promoting behaviour index (HPBi) in a representative
population. The study was designed as a questionnaire-based, cross-sectional analysis. A sample of 385 respondents
comprising of generation X’ers from Kelantan and Terengganu were involved in this study. This study intends to show
the effectiveness of Factor Analysis (FA) and Multiple Linear Regression (MLR) for assessing health-promoting
behaviour indicator sources. The method of FA has identified five significant index categories- Excellent, Good,
Moderate, Low and poor HPBi were generated from FA. |
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