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PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS. pISSN: 2210-9099. eISSN: 2233-6052

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"Korea National Health and Nutrition Examination Survey"

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"Korea National Health and Nutrition Examination Survey"

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<sec><title>Objectives</title><p>This study aimed to determine regional differences and the factors that affect unmet medical needs.</p></sec><sec><title>Methods</title><p>Data from the 6th Korea National Health and Nutrition Examination Survey (2015) were used, and 4,946 health survey participants who provided responses on medical utilization and health behavior were included in the study.</p></sec><sec><title>Results</title><p>A statistically significant difference was observed in the incidence rate of unmet medical needs in terms of region. The independent variables that affected unmet medical needs were sex, age, education, region, household income, insurance type, smoking status, self-reported health status, and stress awareness. Gender (female), lower education level, rural residents, lowest household income, poor self-reported health status, and stress awareness increased the probability of unmet medical needs.</p></sec><sec><title>Conclusion</title><p>Our findings suggested that different policies and approaches should be considered for each population that is at risk to address the primary cause of the unmet medical needs. Further studies that include medical expenses and the relevant variables of an area should be conducted in the future.</p></sec>

Citations

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  • Determinants of unhealthy living by gender, age group, and chronic health conditions across districts in Korea using the 2010-2017 Community Health Surveys
    Thi Tra Bui, Thi Huyen Trang Nguyen, Jinhee Lee, Sun Young Kim, Jin-Kyoung Oh
    Epidemiology and Health.2024; 46: e2024014.     CrossRef
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Factors Affecting Sarcopenia in Korean Adults by Age Groups
Eun-Jung Bae, Yun-Hee Kim
Osong Public Health Res Perspect 2017;8(3):169-178.
Published online June 30, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.3.03
<sec><title>Objectives</title><p>This study aimed to investigate factors affecting sarcopenia in different age groups among Korean adults aged 20 years or older.</p></sec><sec><title>Methods</title><p>In this secondary analysis, data were collected from records for 17,968, participants who participated in the Korea National Health and Nutrition Examination Survey during 2008–2011. Data were analyzed using multiple logistic regression to determine the associated factors of sarcopenia by age groups.</p></sec><sec><title>Results</title><p>The prevalence of sarcopenia increased significantly with age. Physical activity, blood pressure, waist circumference, triglycerides, vitamin D level were found to be factors significantly associated with sarcopenia in all age groups. Total energy intake was found to be a factor that is significantly associated with sarcopenia among the adults aged 20–39 years. Fasting glucose, suicidal ideation, perceived health status, mobility problem, pain/discomfort, total energy intake were found to be factors associated with sarcopenia in the adults aged 40–64 years. Sex, residential area, smoking, drinking, fasting glucose, osteoarthritis, fall experience, usual activity problem, protein intake were factors associated with sarcopenia in the adults over 65 years of age.</p></sec><sec><title>Conclusion</title><p>The findings show that sarcopenia in adults and the associated factors were different by age groups. Thus, these factors should be considered in the development of intervention programs for the care and prevention of sarcopenia, and such programs should be modified according to different age groups.</p></sec>

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Objectives
The purpose of this study was to determine the prevalence of COPD among non-smoking adults, and to investigate the risk factors that affect disease occurrence.
Methods
The data from the 5th Korea national health and nutrition examination survey (KNHNES) has been used, and 5,489 non-smoking adults aged between 40 to 79 years with diagnosable FEV1/FVC were selected therefrom as the subjects of this study.
Results
The prevalence of COPD in non-smokers was observed to be 6.9%. The development of the COPD showed statistically significant difference among groups; males showed about 2.54 times (95% CI: 1.410∼146.612) higher rates compared to females, subjects aged 70–79 showed about 3.08 times (95% CI: 1.823∼11.437) higher rates compared to those aged 40–49, subjects whose education level was elementary school or less showed about 5.36 times (95% CI: 1.341∼21.393) higher rates compared to those who are college or more, and subjects who are middle school showed about 4.72 times (95% CI: 1.374∼16.217) higher rates compared to the college or more.
Conclusion
It is confirmed that development of the COPD in non-smokers reach significance. For the prevention of the disease, there is a need to identify COPD-related risk factors in males and the elderly and provide appropriate nursing intervention, and to develop health-related education programs for those with low educational background to take in order to promote the improvement of lung health.

Citations

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  • COPD in females- Seeing through the smoke
    S R Sreedevi, Ramesh Holla, A. K Vishak, Bhaskaran Unnikrishnan, T Rekha, P Prasanna Mithra, Nithin Kumar, Mithun Rao
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    Xiaohua Li, Minwei Xue, Donggang Xu, Caiyun Fan, Jianquan Zhang
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    Zhenggang Zhu, Ayu Suzailiana Muhamad, Norsuhana Omar, Foong Kiew Ooi, Xiaoyan Pan, Li Yin Ong Marilyn
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    Hae-Wol Cho, Chaeshin Chu
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  • 5,934 View
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The Relationship between Health Behavior and General Health Status: Based on 2011 Korea National Health and Nutrition Examination Survey
Chunhoo Cheon, So-Mi Oh, Soobin Jang, Jeong-Su Park, Sunju Park, Bo-Hyoung Jang, Yong-Cheol Shin, Seong-Gyu Ko
Osong Public Health Res Perspect 2014;5(1):28-33.
Published online February 28, 2014
DOI: https://doi.org/10.1016/j.phrp.2013.12.003
Objectives
The aim of the present study is to investigate the relationship between health behavior and general health status.
Methods
We used data from the 2011 Korea National Health and Nutrition Examination Survey. Mental health was measured by stress recognition and depression. Dietary habit was measured by mixed grain diet. Life pattern was measured by sleeping time and working pattern. Physical activity was measured by walking and exercise. We defined general health status as Euro Quality of Life-5 Dimension (EQ-5D<sub>index</sub>), Euro Quality of Life Visual Analogue Scale (EQ-5D<sub>vas</sub>), number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.
Results
Mental health, dietary habit, life pattern, and physical activity have seven factors. Most of the factors have a significant correlation with EQ-5D<sub>index</sub>, EQ-5D<sub>vas</sub>, number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.
Conclusion
Health behavior and general health status have a positive correlation.

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