The Risk Demographic Predictors of Low Health Promotion Lifestyles in Caregivers of Children With Disabilities

2.50
Hdl Handle:
http://hdl.handle.net/10755/335286
Category:
Full-text
Type:
Presentation
Title:
The Risk Demographic Predictors of Low Health Promotion Lifestyles in Caregivers of Children With Disabilities
Other Titles:
Family Health Promotion
Author(s):
Ko, Jen-Kuei; Lin, Ying-Hui; Chen, Jih-Yuan; Yen, Ming-Hong
Lead Author STTI Affiliation:
Non-member
Author Details:
Jen-Kuei Ko, MSN, RN, jenkueiko@gmail.com; Ying-Hui Lin, EdD, RN; Jih-Yuan Chen, PhD, RN; Ming-Hong Yen
Abstract:
Session presented on Sunday, July 27, 2014: Purpose: 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.
Keywords:
health promotion; caregiver; children with disability
Repository Posting Date:
17-Nov-2014
Date of Publication:
17-Nov-2014 ; 17-Nov-2014
Other Identifiers:
INRC14L05
Conference Date:
2014
Conference Name:
25th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Hong Kong
Description:
International Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kong

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.language.isoenen
dc.type.categoryFull-texten
dc.typePresentationen
dc.titleThe Risk Demographic Predictors of Low Health Promotion Lifestyles in Caregivers of Children With Disabilitiesen
dc.title.alternativeFamily Health Promotionen
dc.contributor.authorKo, Jen-Kueien
dc.contributor.authorLin, Ying-Huien
dc.contributor.authorChen, Jih-Yuanen
dc.contributor.authorYen, Ming-Hongen
dc.contributor.departmentNon-memberen
dc.author.detailsJen-Kuei Ko, MSN, RN, jenkueiko@gmail.com; Ying-Hui Lin, EdD, RN; Jih-Yuan Chen, PhD, RN; Ming-Hong Yenen
dc.identifier.urihttp://hdl.handle.net/10755/335286-
dc.description.abstractSession presented on Sunday, July 27, 2014: Purpose: 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.en
dc.subjecthealth promotionen
dc.subjectcaregiveren
dc.subjectchildren with disabilityen
dc.date.available2014-11-17T13:48:51Z-
dc.date.issued2014-11-17-
dc.date.issued2014-11-17en
dc.date.accessioned2014-11-17T13:48:51Z-
dc.conference.date2014en
dc.conference.name25th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationHong Kongen
dc.descriptionInternational Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kongen
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.