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The purpose of this study is to investigate the risk demographic factors is related to the risk of low Health Promotion Lifestyles scale and subscales scores in caregivers of disabled children. We can early find the groups of risk demographic factors and provide those who have risk factors about the health promotion information and intervention.
Methods:
A total of 251 caregivers for health promotion assessment in the department of pediatric psychology and hereditary counseling and a setting of Taiwan muscular dystrophy association at southern Taiwan. Health-promoting lifestyle Scale in Chinese version was used to collect data, this HPL scale include six subscales of nutrition, exercise, health responsibility, stress management, social support and life appreciation. These data were analyzed by multiple logistic regression model and used the SPSS statistics softwave.
Results:
In order to compare the low HPLs (Health promotion lifestyle scale) scores and high HPLs scores groups from demographic factors, while adjusting for other effects in the multiple logistic regression model, we find that individuals with higher risk of low HPLs are those who under junior high school ( OR=5.18, p=0.004, CI=1.69~15.85) higher than people who are graduate degree, no married ( OR=4.81, p=0.000, CI=2.13~10.86) higher than people who are married, and who are living in urban ( OR=2.40, p=0.007, CI=1.27~4.54) higher than people who are living in rural and town, overall prediction accuracy of this model is 79.3%. In the subscale of Nutrition, we find that individuals with higher risk of low Nutrition subscale are those who are monthly income under 30,000 NT dollars (OR=4.14, p=0.000, CI=2.02~8.50) higher than people who are monthly income over 50,000 NT dollars, overall prediction accuracy of this model is 76.9 %. In the subscale of Exercise, we find that individuals with higher risk of low Exercise subscale scores are those who are no married ( OR=4.14, p=0.000, CI=2.02~8.50) higher than people who are married, and who are living in urban ( OR=2.65, p=0.003, CI=1.41~4.99) higher than people who are living in rural and town, prediction accuracy of this model is 78.90%.In the subscale of Health responsibility, we find that individuals with higher risk of low Health responsibility subscale scores are those who are living in urban ( OR=2.28, p=0.007, CI=1.25~4.15) higher than people who are living in rural and town, and male( OR=2.13, p=0.015, CI=1.16~3.91) are higher than female , overall prediction accuracy of this model is 76.1 %. In the subscale of Stress Management, we find that individuals with higher risk of low Stress Management subscale scores are those who are monthly income under 30,000 NT dollars ( OR=2.27, p=0.018, CI=1.18~6.04) and monthly income between 30,000 ~50,000NT dollars ( OR=3.09, p=0.006, CI=1.39~6.86) higher than people who are monthly income over 50,000 NT dollars, overall prediction accuracy of this model is 82.1 %. In the subscale of Social Support, we find that individuals with higher risk of low Social Support subscale scores are those who are no married ( OR=2.94, p=0.005, CI=1.39~6.22) higher than people who are married, overall prediction accuracy of this model is 75.5 %.In the subscale of Life Appreciate, we find that individuals with higher risk of low Life Appreciate subscale scores are those who are monthly income under 30,000 NT dollars ( OR=2.79, p=0.004, CI=1.38~5.65) high than who are monthly income over 50,000 NT dollars, overall prediction accuracy of this model is 78.9 %.
Conclusion:
Summary the results of this study, the implications in clinic practice, the caregivers of children with disabled those who are lower income, no married, male, lower education level and living in urban must be provided support and intervention for nutrition, exercise, stress management, social support, health responsibility, and life appreciation.