Research in Community and Public Health Nursing

Original Articles

The Relationship between Internet Use and Health Behaviors among Adolescents: Eun Gyeong Kim; J Korean Acad Community Health Nurs. 2015;26(1):52-60. Published online March 31, 2015; DOI: https://doi.org/10.12799/jkachn.2015.26.1.52

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PURPOSE
The study was performed in order to identify the relationship between health behaviors and Internet use among adolescents.
METHODS
The study used raw data from the Korean Youth Risk Behavior Web-Based Survey that was performed in 2012. Data of a total of 74,186 students were analyzed using SPSS/WIN 18. The data were analyzed using descriptive statistics, t-test, and Pearson's correlation.
RESULTS
Internet use and health behaviors were significantly related to gender, depression, suicidal intent, parents' educational level, cohabitation with parents at home, school location, and grade. There was a significant association between Internet use and health behaviors in adolescents.
CONCLUSION
Health promotion and education programs need to consider factors found relevant in this study.

Citations

Citations to this article as recorded by

Effect of Health Behaviors Practice on Mental Health in Adolescents
Hyun Jung Yun
Journal of Health Informatics and Statistics.2022; 47(3): 199. CrossRef
Impact of Internet usage time on mental health in adolescents: Using the 14th Korea Youth Risk Behavior Web-Based Survey 2018
Yeunhee Kwak, Hyejin Kim, Jung-Won Ahn, Sergio A. Useche
PLOS ONE.2022; 17(3): e0264948. CrossRef
Effect of Body Image Distortion on Health Behaviors Practice in High School Students
Hyun Jung Yun
Stress.2020; 28(2): 98. CrossRef
Daily Smoking Girls' Tobacco Use, Health Behaviors and Family Factors : Analysis of 2015 Korean Youth Risk Behavior Web-based Survey
Youngjin Lee
Journal of Digital Convergence.2016; 14(5): 377. CrossRef

Body Mass Index (BMI)-Related Factors of Community-Dwelling Elders: Comparison between Early and Late Elderly People: Hye Sun Hyun, In Sook Lee; J Korean Acad Community Health Nurs. 2013;24(1):62-73. Published online March 31, 2013; DOI: https://doi.org/10.12799/jkachn.2013.24.1.62

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14 Citations

Abstract PDF

PURPOSE
The purpose of the study is to identify differences in BMI between early and late elderly people, and factors having influence of them.
METHODS
This study is an analysis of secondary data that used the raw materials from the KNHANES from 2008 to 2010. The subjects involved in the final analysis were 4,772 elders aged 65 or higher. Descriptive statistics, chi2-test and F-test, and CSGLM from the complex sample design were used for the data analysis with SPSS/WIN 19.0.
RESULTS
Significant differences were observed in the socio-demographic characteristics, health behaviors and diet habits between early and late elderly people. Adjusted for gender, location of residence, and living alone, the factors that affected BMI of the early elderly people included current smoking status, number of disease, difficulty in chewing, and number of meals per day while those that affected BMI of the late elderly people were current smoking status, number of disease, self-rated health, and difficulty in chewing.
CONCLUSION
The study concludes that we should consider age-specific traits for monitoring the weight status of the elderly and providing appropriate weight management programs for the elderly.

Citations

Citations to this article as recorded by

Health behaviors and mental health among adolescents: A comparison based on BMI using the 2021 Korea Youth Risk Behavior Survey
Hye-Ryeon Park, Na-Geong Kim
Belitung Nursing Journal.2023; 9(6): 571. CrossRef
Factors Affecting the Deterioration of the Physical Health Status of Taxi Drivers by Age Group
Jongsun Ok, Kyonghwa Kang, Hyeongsu Kim
International Journal of Environmental Research and Public Health.2022; 19(6): 3429. CrossRef
Factors Influencing the Practice of Healthy Living as an Integrated Indicator of the Elderly’s Drinking, Smoking, and Walking Patterns: Using Korea Community Health Surveys
Eunha Kim, Inhee Choo, Yunhwan Noh
International Journal of Environmental Research and Public Health.2022; 19(4): 1936. CrossRef
Comparison of the Nutrient Intake and Health Status of Elderly Koreans According to their BMI Status: Focus on the Underweight Elderly Population
You-Sin Lee, Yoonna Lee
Korean Journal of Community Nutrition.2022; 27(5): 422. CrossRef
Association of Dietary Quality with Subjective Health-Related Perception and Chronic Diseases According to Age Segmentation of Korean Elderly
Sojeong Lee, Seungmin Lee
Korean Journal of Community Nutrition.2021; 26(5): 363. CrossRef
The associations between body mass index (BMI) and life satisfaction among older adults: Focusing on mediating effects of depressive symptoms
Hae Sook Jeon
Korean Journal of Health Education and Promotion.2019; 36(3): 83. CrossRef
Factors Related to Frailty among the Elderly in South Korea: A 3‐year Longitudinal Study
Jin‐Kyoung Park, Jong‐Eun Lee
International Journal of Nursing Knowledge.2019; 30(1): 55. CrossRef
The Mediating Effects of Food Craving on the Relationship between Stress and Obesity in Elderly
Ju Yeun Kim
Stress.2018; 26(3): 215. CrossRef
Relationships among Muscle Mass and Obesity, Metabolic Syndrome, Physical Activity, and Nutrient Intake in Elderly Women: Based on the 4th-5th (2008-2011) Korean National Health and Nutrition Examination Survey (KNHANES)
Doo-Hwan Jung, Jung-Hyun Kim
The Korean Journal of Community Living Science.2018; 29(4): 469. CrossRef
Factors associated with frailty among community-dwelling older adults by age group: A multi-dimensional approach
Lee Seyune, Kim Hongsoo, Jung Young-il, Hong Yun-chul
Korean Journal of Health Education and Promotion.2018; 35(2): 89. CrossRef
Influence of the Food Intake Ability and the Number of Remaining Teeth on Oral Health Related Quality of Life in Some Elderly People
Da-Hye Kim, Soo-Jeong Hwang
Journal of dental hygiene science.2016; 16(1): 53. CrossRef
Diet Pattern According to Socio-Economic status - Using the Fifth (2010-2012) Korea National Health and Nutrition Examination Survey
Han Na Kim, Hyo Eun Park
The International Journal of Advanced Culture Technology.2016; 4(3): 24. CrossRef
A Comparison of Characteristics between Success Group and Failure Group of 1-year Continuous Smoking Abstinence in Young Adult and Middle-aged Male Workers: with Focus on the First-year Analysis of Korean Cross-sectional Survey
Juna Lee, Insook Lee
Journal of Korean Academy of Community Health Nursing.2016; 27(2): 95. CrossRef
The relations of the elderly's eating habits with their obesity
Hye-Young Song, Hyo-Eun Park
Journal of the Korea Academia-Industrial cooperation Society.2015; 16(8): 5404. CrossRef

Factors Influencing Health Risk Behaviors in Early Adolescents: Jae Soon Yoo; J Korean Acad Community Health Nurs. 2009;20(3):296-306. Published online September 30, 2009

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Abstract PDF: PURPOSE
This study was to identify variables influencing health risk behaviors in adolescents on the basis of the PRECEDE model.
METHODS
Data were collected from 434 middle school students in Chungbuk Province for two weeks in July 2008. The instrument for this study was a self-reported questionnaire. The SPSS/WIN 12.0 program was used for data analysis, which included t-test, one way ANOVA, Scheffe's test, Pearson's correlation coefficients, and stepwise multiple regression analysis.
RESULTS
Adolescents' level of health risk behaviors (47.32 +/- 7.98) was below medium. Physical inactivity (6.73 +/- 2.23) and Internet addictive behavior (6.36 +/- 2.11) were major health risk behaviors. The perceived level of school health education (30.74 +/- 9.84) was low. Family function and general self efficacy explained 14.3% of variance in health risk behaviors. Family function was a major predictor of health risk behaviors (R2 = .108, p = .000). However, the perceived level of school health education was not a significant predictor of health risk behaviors.
CONCLUSION
For the prevention of health risk behaviors in adolescents, it is necessary that the family and the school collaborate with each other in educational strategies in order to strengthen influential factors such as family function and general self-efficacy.

Stress, Depression and Health Risk Behaviors in Korean Elders: Ae Jung Kim, Ok Soo Kim, Sung Hee Baik, Jong Hwa Jang, Jung Hee Kim; J Korean Acad Community Health Nurs. 2007;18(3):391-399. Published online September 30, 2007

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Abstract PDF: PURPOSE
The purpose of this study was to investigate stress, depression and health risk behaviors in elderly people.
METHODS
The subjects were 238 Korean elders who had visited the convalescent center. The level of stress was measured by the Korean version of BEPSI, which was developed by Bae, Jeung & Yoo (1992) and modified by Yim et al.(1996). CES-D was used to measure the level of depression. For health risk behaviors, we measured cigarette consumption and alcohol drinking during the last one month.
RESULTS
Of the subjects, 17.4% were excessive drinkers and 18.9% were currently smokers. The level of stress was between moderate and high, and 62.7% of the subjects were depressed. There were significant differences in stress and depression according to economic status and self-reported health. In addition, depression had positive correlations with stress and QF score.
CONCLUSION
Stress and depression management programs for the elderly are needed. These findings indicate that nurses must consider stress and alcohol drinking when they take care of depressed elderly people.

The Association of Health Behaviors with Musculoskeletal Diseases in Adults: Yoon Jung Lee, So Young Lee, Soon Lae Kim, Hea Sun Jung, Kyung Mi Yang, Jong Eun Lee; J Korean Acad Community Health Nurs. 2007;18(1):102-111. Published online March 31, 2007

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Abstract PDF: PURPOSE
This study attempted to understand health behaviors and analyze the association of the health behaviors with musculoskeletal diseases in adults.
METHOD
The subjects of this study were 6,946 adults aged between 20 and 65 who had participated in the 2001 National Health Nutrition Survey. The instrument was composed of Health Interview Survey (HIS), Health Behavior Survey (HBS) and Health Examination Survey (HES), which were used in the 2001 National Health Nutrition Survey. Data were analyzed using SPSS 10.1 by applying chi2 and multivariate logistic regression.
RESULTS
1. The present smoking rate was 46.5% and the present drinking rate was 81.2%. 2. Of the subjects, 22.7% were overweight (BMI> or =25), and 28.1% were exercising regularly. 3. Major factors affecting musculoskeletal diseases were low education, poor economic state, smoking, and BMI. Middle school graduates were 2.54 times more likely to have musculoskeletal diseases than college graduates. The risk was 1.83 times higher in indigent respondents than in affluent ones, and 1.43 times higher in smokers than in non-smokers.
CONCLUSION
Therefore, in order to reduce musculoskeletal diseases in adults, other various factors should be looked into, and public education about appropriate posture and exercise should be carried out in community. Additionally, concentrated intervention programs for patients with musculoskeletal diseases should be performed.

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