Journal of Preventive Medicine and Public Health

Jong-Heon Park

3 Articles

The Effect of Sleep Duration on the Risk of Unintentional Injury in Korean Adults: Yeon-Yong Kim, Un-Na Kim, Jin-Seok Lee, Jong-Heon Park; J Prev Med Public Health. 2014;47(3):150-157. Published online May 30, 2014; DOI: https://doi.org/10.3961/jpmph.2014.47.3.150

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Objectives

The decrease or increase in sleep duration has recently been recognized as a risk factor for several diseases, including hypertension and obesity. Many studies have explored the relationship of decreased sleep durations and injuries, but few have examined the relationship between increased sleep duration and injury. The objective of this research is to identify the risk for injury associated with both decreased and increased sleep durations.

Methods

Data from the 2010 Community Health Survey were used in this study. We conducted logistic regression with average sleep duration as the independent variable, injury as a dependent variable, and controlling for age, sex, occupation, education, region (cities and provinces), smoking, alcohol use, body mass index, hypertension, diabetes, arthritis, and depression. Seven categories of sleep duration were established: ≤4, 5, 6, 7, 8, 9, and ≥10 hours.

Results

Using 7 hours of sleep as the reference, the adjusted injury risk (odds ratio) for those sleeping a total of ≤4 h/d was 1.53; 1.28 for 5 hours, for 1.11 for 6 hours, 0.98 for 8 hours, 1.12 for 9 hours, and 1.48 for ≥10 hours. The difference in risk was statistically significant for each category except for the 8 and 9 hours. In this study, risk increased as the sleep duration decreased or increased, except for the 8 and 9 hours.

Conclusions

This research found that either a decrease or increase in sleep duration was associated with an increased risk for injury. The concept of proper sleep duration can be evaluated by its associated injury risk.

Summary

Citations

Citations to this article as recorded by

Musculoskeletal injuries in UK Service Personnel and the impact of in-theatre rehabilitation during Cold Weather Warfare training: Exercise CETUS 2020
David H Ferraby, D Hayhurst, R Strachan, H Knapman, S Wood, J L Fallowfield
BMJ Military Health.2023; 169(6): 517. CrossRef
Prevalence and behavioural associations of unintentional injuries among Chinese college students: a 50-University population-based study
Dan Wu, Tingzhong Yang, Randall R Cottrell, Huan Zhou, Xueying Feng
Injury Prevention.2019; 25(1): 52. CrossRef
Association of physical activity, sedentary time, and sleep duration on the health-related quality of life of college students in Northeast China
Yinjian Ge, Shimeng Xin, Dechun Luan, Zhili Zou, Mengting Liu, Xue Bai, Qian Gao
Health and Quality of Life Outcomes.2019;[Epub] CrossRef
Risk factors for unintentional injuries among the rural elderly: a county-based cross-sectional survey
Hongping Zhang, Feng Wei, Mo Han, Jianquan Chen, Songxu Peng, Yukai Du
Scientific Reports.2017;[Epub] CrossRef
Unintentional Injuries among Psychiatric Outpatients with Major Depressive Disorder
Ching-I Hung, Chia-Yih Liu, Ching-Hui Yang, Yinglin Xia
PLOS ONE.2016; 11(12): e0168202. CrossRef
The Effect of Sleep Duration and Relief of Fatigue after Sleep on the Risk of Injury at School among Korean Adolescents
Jungok Yu, Jungsoon Kim
Journal of Korean Academy of Community Health Nursing.2015; 26(2): 100. CrossRef

The Relationship Between the Social Network of Community-living Elders and Their Health-related Quality of Life in Korean Province: Jun Tae Lim, Jong-Heon Park, Jin-Seok Lee, Juhwan Oh, Yoon Kim; J Prev Med Public Health. 2013;46(1):28-38. Published online January 31, 2013; DOI: https://doi.org/10.3961/jpmph.2013.46.1.28

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Abstract PDF

Objectives

This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL.

Methods

This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis.

Results

The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was B_T=2.96, that of the LSNS-R family frequency factor was B_T=3.60, and that of LSNS-R friends factor was B_T=5.41.

Conclusions

Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

Summary

Citations

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Yingying Shi, Zhiqi Liang, Yunjie Zhang, Leyi Zhu, Gexin Gao, Jufang Li
Geriatric Nursing.2024; 60: 52. CrossRef
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Tso-Jung Yen, Ta-Chien Chan, Yang-Chih Fu, Jing-Shiang Hwang
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Ben Lennox Kail, Dawn C Carr, Deborah Carr
The Journals of Gerontology: Series B.2020; 75(9): 2040. CrossRef
Association of Formal and Informal Social Support With Health-Related Quality of Life Among Chinese Rural Elders
Shan Lu, Yupan Wu, Zongfu Mao, Xiaohui Liang
International Journal of Environmental Research and Public Health.2020; 17(4): 1351. CrossRef
Health-related quality of life and associated factors in functionally independent older people
Mónica Machón, Isabel Larrañaga, Miren Dorronsoro, Kalliopi Vrotsou, Itziar Vergara
BMC Geriatrics.2017;[Epub] CrossRef
Social participation as an indicator of successful aging: an overview of concepts and their associations with health
Heather Douglas, Andrew Georgiou, Johanna Westbrook
Australian Health Review.2017; 41(4): 455. CrossRef
Factors Affecting the Health-Related Quality of Life of Community-Dwelling Elderly in Japan: A Focus on Spirituality
Minako Kobayashi, Eiji Marui
Health.2017; 09(07): 1095. CrossRef
Predictors of Long-Term Care Facility Residents’ Self-Reported Quality of Life With Individual and Facility Characteristics in Canada
Vahe Kehyayan, John P. Hirdes, Suzanne L. Tyas, Paul Stolee
Journal of Aging and Health.2016; 28(3): 503. CrossRef

Differences in Obesity Rates Between People With and Without Disabilities and the Association of Disability and Obesity: A Nationwide Population Study in South Korea: Moo-Kyung Oh, Hyeongap Jang, Yong-Ik Kim, Belong Jo, Yoon Kim, Jong-Heon Park, Jin-Seok Lee; J Prev Med Public Health. 2012;45(4):211-218. Published online July 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.4.211

9,400 View
70 Download
14 Crossref

Abstract PDF

Objectives

The objective of this study was to identify the differences in obesity rates among people with and without disabilities, and evaluate the relationship between obesity rates and the existence of disabilities or characteristics of disabilities.

Methods

Mass screening data from 2008 from the National Disability Registry and National Health Insurance (NHI) are used. For analysis, we classified physical disability into three subtypes: upper limb disability, lower limb disability, and spinal cord injury. For a control group, we extracted people without disabilities by each subtype. To adjust for the participation rate in the NHI mass screening, we calculated and adopted the weight stratified by sex, age, and grade of disability. Differences in obesity rates between people with and without disabilities were examined by a chi-squared test. In addition, the effect of the existence of disabilities and grade of disabilities on obesity was examined by multiple logistic regression analysis.

Results

People with disabilities were found to have a higher obesity rate than those without disabilities. The obesity rates were 35.2% and 35.0% (people with disabilities vs. without disabilities) in the upper limb disability, 44.5% and 34.8% in the lower limb disability, 43.4% and 34.6% in the spinal cord injury. The odds for existence of physical disability and grade of disability are higher than the non-disabilities.

Conclusions

These results show that people with physical disability have a higher vulnerability to obesity.

Summary

Citations

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Investigation of the Relationship Between Psychiatry Visit and Suicide After Deliberate Self-harm: Longitudinal National Cohort Study
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BMC Public Health.2014;[Epub] CrossRef
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Won Kim, Hee Won Park, Byung Kwan Hwang, Soon Ook Bae, In Kwon Kim, Sun G. Chung
Archives of Gerontology and Geriatrics.2014; 58(1): 134. CrossRef
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