Research in Community and Public Health Nursing

Su Hee Kim

3 Articles

Predictors of Quality of Life among Grandparents Raising Their Grandchildren: An Ecological Approach: Deulle Min, Su Hee Kim; J Korean Acad Community Health Nurs. 2017;28(1):1-12. Published online March 31, 2017; DOI: https://doi.org/10.12799/jkachn.2017.28.1.1

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PURPOSE
The purpose of this study is to examine factors affecting quality of life among grandparents raising their grandchildren.
METHODS
This study carried out a secondary analysis of data from the 2014 Korean Longitudinal Study of Aging (KLoSA) and Statistics Korea. Data collected from 224 grandparents who reported raising their grandchildren were analyzed using descriptive statistics, independent t-test, ANOVA, pearson correlation coefficient, and multilevel regression analysis.
RESULTS
The mean score of the participants' quality of life was 62.63. Significant predictors of quality of life of the grandparents included subjective health status, last year's total house income, number of last year's travels, frequency of last year's movie seeing, and number of children's parks per 100,000 population.
CONCLUSION
These results suggest that public health nurses in improving quality of life of grandparents focus on children's parks and formal social supports as community factors as well as regular exercise as an individual factor in order to be more effective.

Citations

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Intensity of Grandparent Caregiving, Health, and Well-Being in Cultural Context: A Systematic Review
Athena C Y Chan, Sun-Kyung Lee, Jingchen Zhang, Jasmine Banegas, Scott Marsalis, Abigail H Gewirtz, Patricia C Heyn
The Gerontologist.2023; 63(5): 851. CrossRef

A Study on Gender Differences in Influencing Factors of Office Workers' Physical Activity: Duck Hee Chae, Su Hee Kim, Chung Yul Lee; J Korean Acad Community Health Nurs. 2013;24(3):273-281. Published online September 30, 2013; DOI: https://doi.org/10.12799/jkachn.2013.24.3.273

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Abstract PDF

PURPOSE
The purpose of this study was to determine gender differences in effects of self-efficacy, exercise benefits and barriers, and demographic factors on the physical activity.
METHODS
Seventy sedentary office workers, 35 male and 35 female, from a major airline company, completed a questionnaire from March 28 to April 5, 2012. Steps and body mass indices were measured using a CW-700/701 (Yamax) pedometer and Inbody 720 (Biospace), respectively. Data were analyzed using t-test, chi2-test, multiple linear regression, and simultaneous quantile regression.
RESULTS
For male workers, exercise self-efficacy had a significant effect on physical activity, but only when respondents were at 10%(3,431 steps/day, p=.018) and 25%(4,652 steps/day, p=.044) of the physical activity distribution. For female workers, marital status was significantly related to physical activity, but only when respondents were at 10% (3,537 steps/day, p=.013) and 25%(3,862 steps/day, p=.014) of the physical activity distribution.
CONCLUSION
Quantile regression highlights the heterogeneous effect of physical activity determinants among office workers. Therefore intervention strategies for increasing physical activity should be tailed to genders as well as physical activity levels.

Citations

Citations to this article as recorded by

Health promotion program for office workers with SEM based on the WHO’s healthy workplace framework
Hosihn Ryu, Jiyeon Jung, Jihyun Moon
Health Promotion International.2020; 35(6): 1369. CrossRef
The association between low frequency of having breakfast and dyslipidemia in South Korean men and women
Doo Woong Lee, Dong-Woo Choi, Yeong Jun Ju, Sang Ah Lee, Eun-Cheol Park
European Journal of Clinical Nutrition.2019; 73(6): 896. CrossRef
Physical Activity of Workers in a Hospital
So Jun, Jaewon Kim, Hyehoon Choi, Joon Kim, Seong Lim, Bomi Sul, Bo Hong
International Journal of Environmental Research and Public Health.2019; 16(4): 532. CrossRef
Program Development and Effectiveness of Workplace Health Promotion Program for Preventing Metabolic Syndrome among Office Workers
Hosihn Ryu, Jiyeon Jung, Jeonghyun Cho, Dal Chin
International Journal of Environmental Research and Public Health.2017; 14(8): 878. CrossRef
Unhealthy Lifestyle Behaviors in Korean People with Metabolic Syndrome
Seongmi Moon
Journal of Community Health Nursing.2017; 34(2): 69. CrossRef
Body Composition and Dietary Self-efficacy of Nursing Students
Hyoung-Sook Park, Jae-Hyun Ha, Hyun-Ju Lee
Journal of muscle and joint health.2016; 23(2): 95. CrossRef
Effects of the Health Support Network Project on Musculoskeletal Disorders of Females
Deok-Ju Kim, Hee-Jung Han, Yeong-Ae Yang
The Korean Journal of Health Service Management.2015; 9(1): 169. CrossRef
Factors Influencing Exercise Behavior of the Male Manual Worker and Office Worker based on Health Promotion Model
SeungKyoung Yang, Yeongmi Ha, Mi-Ra Jung
Korean Journal of Occupational Health Nursing.2015; 24(3): 235. CrossRef
Relationship Between the Physical Activity Levels and Health Care Utilization in Korean Elderly
Kwang-Il Kwak, Chang-Hee Baek, So-Yeon Ryu
Journal of the Korea Academia-Industrial cooperation Society.2015; 16(1): 617. CrossRef
Study of the physical condition of middle-aged workers by gender
SooHee Park, DeokJu Kim
Journal of Physical Therapy Science.2015; 27(3): 841. CrossRef
A Comparison of the Physical Activity of Hematopoietic Stem Cell Transplantation Patients and Healthy People
A Rum Han, Jeong Yun Park
Asian Oncology Nursing.2014; 14(4): 221. CrossRef

Comparison of Preventive Health Behaviors in Adults Aged 50~64 in Korea and the United States: Chung Yul Lee, Jung Ae Kim, Su Hee Kim; J Korean Acad Community Health Nurs. 2013;24(2):161-171. Published online June 30, 2013; DOI: https://doi.org/10.12799/jkachn.2013.24.2.161

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Abstract PDF: PURPOSE
The purpose of this study was to compare Preventive Health Behaviors (PHBs) in adults in Korea and the United States and identify factors influencing PHBs.
METHODS
This was a secondary data analysis study using data from the 2008 Korean National Health and Nutrition Examination Survey and the 2008 USA Behavioral Risk Factor Surveillance System. The PHBs were predicted using multiple linear regression analysis.
RESULTS
1) The total score of PHBs was significantly higher in American males (5.11) than in Korean males (4.78). There was also a significant difference between Korean females' total score (6.57) and American females'(6.75). 2) Age, marriage, monthly income, subjective health status, and cardiovascular disease were significant factors of PHBs in Korean males (p<.001). However, age, marriage, education, monthly income, health insurance, subjective health status, and cardiovascular disease were significant factors in American males (p<.001). In Korean females, only age and education were significant predictors (p<.001). However, six variables(age, marriage, education, monthly income, health insurance, and subjective health status) were significant predictors in American females (p<.001).
CONCLUSION
There were different variables in predicting PHBs between Koreans and Americans. Each country should focus on those significant predictors to promote the PHBs for adults.

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