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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A correlational study among self-efficacy of health behavior and health-promoting lifestyles for the Fifth and Sixth grades students in Kaohsiung City

Cheng, Kuang-shiung 21 June 2008 (has links)
The purpose of this study was to understand the difference of health-promoting life styles among the Fifth and Sixth grades students in Kaohsiung City, and analyze the related factors. A descriptive study design was chosen, and data was collected by self-reported questionnaires that include: demographic data, cues to self-efficacy of health behavior and health-promoting lifestyle profile. The number of subjects was 1164, consisting of 623 Fifth grade students and 541 Sixth grade students. The data collection was based on structural questionnaire method, and there were 1164 valid samples, which were then analyzed by SPSS for Windows 14.0. Results of this study include: 1. The average score was 157.93 in terms of overall scaling table. The highest score fell on health-promoting lifestyles, followed by daily life security habits ,then Self-Care habits, Stress & Sentiments Management, Recreation and Sport,and the lowest score was on eating habits. 2.The average score was 113.39 in terms of overall scaling table. The highest score fell on self-efficacy of health behavior, followed by health responsibility behavior, then stress management behavior, nutrition behavior, and the lowest score was on exercise behavior. 3.The result indicated that these background factors did show significant differences in health promotion life-style. 4. The result indicated that these background factors did show significant differences in self-efficacy of health behavior. 5. Health behavior self-efficacy were positively correlated with health-promoting lifestyles. ¡]r¡×.730¡Ap¡Õ.01¡^ 6. It was realized through hierarchical enter regression analysis that, health¡@responsibility behavior , stress management behavior, nutrition behavior, the gender ,results of study in class(last / middle), Father¡¦s occupation¡]field / general¡^ , Father¡¦s teach(democracy /abandon¡^ , exercise behavior, mother¡¦s level of education ¡]a primaryschool / a junior college¡^ and to stay with parent(yes / no¡^ and could explain to 59.7¢H total variance in health promotion life-style. Among these 10 factors, health responsibility behavior ,has the biggest influence; also, the research conclusions could serve as a reference for future health education and activities planning within the school.
2

THE RELATIONSHIP OF PERSONALITY PREFERENCES AND TYPE TO HEALTH-PROMOTING BEHAVIORS, ALCOHOL USE, AND CIGARETTE SMOKING

Martin, Billy Fredrick 01 January 2011 (has links)
An individual’s personality traits and characteristics have been found to have an important relationship with health behaviors. However, there has been minimal research conducted with personality types. The purpose of the study was to examine the predictive relationship among MBTI® personality preferences and types and both selected health-promoting and selected risk-taking behaviors among residential college students. Furthermore, several potential mediating demographic variables were added to the study to determine their predictive relationship and if they should be entered into a model for the selected health behaviors. The study used a cross-sectional design with two self-report instruments and demographic questionnaire. The two self-report instruments were the MBTI® and the HPLP II. A systematic random sample was employed to obtain the sample of full-time residential college students. A total of 406 subjects voluntarily completed the instruments. The subjects ranged in age from 18 to 28 with 98.3% reporting traditional college age. Descriptive and inferential statistics with an alpha level of .05 were used for data analysis. The results revealed that models incorporating MBTI® personality preferences and types had a significant predictive relationship with nutrition, interpersonal relations, spiritual growth, physical activity, aggregate health-promoting lifestyle, alcohol use, binge drinking, and heavy drinking. However, the variance explained by the models for each behavior was consistently low with the one exception of interpersonal relations. Health-responsibility, stress management, and cigarette smoking could not be predicted by models integrating MBTI® personality preferences and types. Nonetheless, specific personality preferences and types did have a significant relationship with health-responsibility, stress management, and cigarette smoking. In conclusion, MBTI® personality preferences and types provided valuable insight into explaining several of the selected health behaviors. The results revealed personality preferences and type can be useful in health research. Given the popularity of the MBTI®, future research incorporating the MBTI® and various health behaviors may offer valuable information used by health professionals and counselors to modify health behaviors.

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