Multidimensional indicators of healthy women in reproductive age
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2008
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eng
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[xi, 169] leaves : ill. ; 30 cm.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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National Institute of Development Administration. Library and Information Center
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Angsana Boonthum (2008). Multidimensional indicators of healthy women in reproductive age. Retrieved from: http://repository.nida.ac.th/handle/662723737/329.
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Multidimensional indicators of healthy women in reproductive age
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Abstract
The purposes of this study are: 1) to construct indicators of Healthy Women in Reproductive age covering the physical, mental, social, and spiritual dimensions appropriate to Thai lifestyle and Thai societal patterns 2) to describe indicators of the Healthy Women in Reproductive age in each dimension affecting their healthy condition, and 3) to examine the internal structure of various dimensions of the construct, Healthy Women in Reproductive age. A survey was conducted to collect data from women aged 13 to 49 years in urban and rural areas in the four regions of Thailand. The statistical technique used to analyze data was Structural Equation Modeling using by LISREL 8.52. The results of the analysis indicated that the indicators could reflect the health status in the dimensions of physical, mental including social. In addition, it manifested the potential of how to be a healthy person, measured from healthy behaviors and good reproductive health. The confirmatory factor analysis results for the categorization of the indicator groups for the group of women aged from 13 to 18 years and 19 to 49 years yielded the following group of six dimensions: physical health, mental health, social health, health-promoting behavior, health risk behavior and reproductive health. Structural equation modeling was employed to examine the theoretical models of the Healthy Women in Reproductive age construct. This study hypothesized that there are differences between adolescents and adult women in term of “Healthy in Reproductive age”. Thus, the analysis was divided into two models, one for adolescents and the other for adults. The model of adolescents aged 13-18 years was revised by measuring model fit using goodness of fit index (GFI= 0.96), adjusted goodness of fit index (AGFI= 0.95) and root mean square error of approximation (RMSEA = 0.029). The final model showed that social health had a direct positive effect on mental health (=0.46, p<0.01) health promoting behavior had a positive effect on social health, health risk behavior had a negative effect on social healthand reproductive health had a positive effect on mental health. The model of women in their reproductive years aged 19-49 years measured model fit using goodness of fit index (GFI= 0.96), adjusted goodness of fit index (AGFI= 0.95) and root mean square error of approximation (RMSEA = 0.038). The final model showed that social health had a direct positive effect on mental health (=0.36, p p<0.01) ; reproductive health had a positive effect on physical health mental health and social health; health promoting behavior had a positive effect on mental health, social health, and health risk behavior had a negative effect on social health. These indicators would prove valid, reliable and useful if they were to be used by people in the community or the organizations in the community by modifying and supplementing some parts to suit the variable conditions and lifestyle of that particular community. However, further study should be conducted especially regarding the methods or mechanisms in developing mental dimensions, basic ethics, responsibility to society and self-discipline.
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Thesis (Ph.D. (Population and Development))--National Institute of Development Administration, 2008