• Health Policy and Management
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• v.31 no.2
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• pp.197-206
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• 2021

Background: The purpose of this study was to identify factors affecting unmet healthcare needs due to physical accessibility by residential area by utilizing the Korea Community Health Survey (KCHS). Methods: Andersen's medical service behavioral model was applied to analyze the enabling factors, predisposing factors, and needs factors of unmet healthcare needs focusing on residential areas. This study used data from the KCHS (2017-2019, n=440,792). We used multivariate survey logistic regression analysis in order to identify affecting factors. Sub-group analysis was conducted in order to evaluate the effects of residential areas. Results: Some participants (2,621, 0.59%) had experienced unmet healthcare needs due to physical accessibility and 2,047 subjects (78.1%) of them lived in rural areas. Multivariate survey logistic regressions revealed that experience of unmet healthcare needs due to physical accessibility increased when people lived in rural areas (odds ratio [OR], 3.95; 95% confidence interval, 3.46-4.51). Conclusion: This study showed that despite the development of transportation and efforts to alleviate medical inequality, residents in rural areas may still have higher experience of unmet healthcare needs due to physical accessibility compared to the metropolitan city regardless of any other sub-group differences (OR range, 1.90-6.31). This study suggested that government and policymakers should identify the causes of the experience of unmet healthcare needs due to physical accessibility and should develop policies to alleviate those healthcare disparities.

• Health Communication
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• v.13 no.2
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• pp.103-108
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• 2018

Background: This study was to analyze gender differences in health status, health behaviors and disease prevalence of multi-cultural family in order to contribute to health promotion of them. Methods: This study used raw data from the Korea Community Health Survey(KCHS) which was performed in 2015. Among them, 3,045 multi-cultural family members were included in this study. Data was analyzed using SPSS 21.0 for descriptive statistics, t test, Chi-square test, and Pearson's correlation coefficients. Results: According to gender, depression and subjective health were different in health status. High risk drinking, hypertension, dyslipidemia, arthritis, and obesity prevalence rate were higher in males than females significantly(p<.001). Conclusion: Based on the study results, it is necessary to establish a public health care program to improve health and welfare of multi-cultural families.

• Journal of Korean Public Health Nursing
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• v.37 no.1
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• pp.125-135
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• 2023

Purpose: The number of patients suffering from depression is rapidly increasing worldwide, and by 2030, it is expected to pose a severe social and economic burden. Reports suggest that approximately 30% of subjects with symptoms of depression do not attempt treatment. Therefore, predicting the characteristics of subjects with depressive symptoms who have not even attempted counseling treatment is essential to increase the participation rate for such treatment. This study intends to predict the participation rates for psychological counseling treatment for depression among subjects with depressive symptoms. Methods: This study used data from the 2021 Korea Community Health Survey (KCHS). Data analysis was carried out using a decision tree to design a model that predicted participation in psychological counseling for depression. Results: The results showed that subjects aged 65 to 74 had difficulty understanding the explanations of medical staff even though they did not have cognitive impairment. Only 11.1% of this group received psychological counseling, which was the lowest rate among the various age groups. Among the subjects, 62.4% of those aged 19-44 or 45-64, who had suicidal thoughts and attempted suicide, received psychological counseling and this was the highest rate among the age groups surveyed. Conclusion: The identification of people showing depressive symptoms is crucial for encouraging them to undertake treatment. Also, proper depression-oriented medical services should be developed and implemented for people with depressive symptoms who exhibit a blind spot towards attempting treatment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.447-454
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• 2018

The purpose of this study was to investigate the influenza vaccination rate and vaccination-related factors in adult diabetics in Korea using the Korean Community Health Survey (KCHS). Data on 228,261 adults aged 19 years and over were derived from the KCHS, which was conducted in 2015. Sociodemographic factors, health behavior, comorbid diseases, and subjective health status were analyzed for their relationships with influenza vaccination by the chi-squared test and multiple logistic analysis. As a result, the level of influenza vaccination rate among adult diabetics in Korea was as low as 62.4%. For those with diabetes, Influenza vaccination was related with age, gender, education level, residency, marital status, occupation, smoking, health screening, and comorbid diseases (p<0.05). In conclusion, in order to increase the influenza vaccination rate among diabetic patients, systematic education and publicity are essential to raise awareness of vaccination. At the same time, the government should support them with their policies such as free vaccination expansion.

• Journal of Korean Public Health Nursing
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• v.30 no.3
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• pp.483-494
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• 2016

Purpose: This study compared health behaviors and disease prevalence between one-person women and multiple-household women in Korea. Methods: This study used the 2013 data from the Korean Community Health Survey (KCHS). A total of 89,807 women, aged 19-64 years were included in this study. The data was analyzed using descriptive statistics and Chi-square test. Moreover, statistical processing was performed using the SPSS 21.0. Results: Among adult women, one-person households women was 6.2%. One-person household women were older than multiple-households women, and multiple-households women were less likely to exercise regularly. And disease prevalence was higher in one-person household women than in multiple-household women. Conclusion: Residence characteristics should be considered in developing a public health program to reduce or increase modifiable health behaviors and disease prevalence. The findings from this study suggest that policies to improve the support for healthcare of one-person household women is necessary.

• Journal of Korean Biological Nursing Science
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• v.20 no.3
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• pp.169-176
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• 2018

Purpose: This study was performed to elucidate whether the obesity or body image is a barrier to breast screening compliance in Korean women. Methods: We included 54,017 women aged between 35 to 70 years from the Korea Community Health Survey (KCHS) 2014 dataset. To identify whether a mutual relationship exists between weight perceptions and breast cancer screening rates, the participants were divided into three groups according to the level of concordance between Body Mass Index (BMI) and a subjective body image. Descriptive analyses, a chi-square test, and multivariate logistic regression analyses were performed. Results: After covariate adjustment, the screening rate of the overweight group was 1.09 times higher than the normal weight group (odds ratio [OR], 1.09; confidence interval [CI], 0.00-0.16; p= .038) and the severe obesity group was 1.20 times lower (OR, 0.83; CI, -0.36-0.00; p= .047). Weight misperception also had a significant influence on breast cancer screening. Especially, The overweight distortion group was less likely to undergo breast cancer screening (OR, 0.93; CI, -0.15-0.00; p= .037). Conclusion: Obesity and weight misperceptions are associated with lower compliance with breast cancer screening guidelines.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.616-626
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• 2018

This study aimed to comprehensively assess the demographic characteristics, health behaviors, subjective health status, health-related restriction of life, and quality of life of male and female elderly aged 65 years older using data from the 2013-2015 Korean Community Health Survey (KCHS). The results showed that compared to the male elderly, the female elderly was less educated, did not have a spouse or had less household income, had poorer health behaviors, and had lower quality of life caused by restrictions in life. The female elderly had significantly lower quality of life than that of the male elderly. Various factors were found to affect quality of life in both sexes. The presence of spouse and BMI did not affect quality of life of men but did affect the quality of life of women. On the other hand, smoking affected the quality of life of men but not of women. Based on these results, more in-depth studies are needed on the female elderly, who have been reported to have lower health-related quality of life, and sex-specific services and programs that could more effectively improve the quality of life among the elderly should also be developed.

• Journal of Preventive Medicine and Public Health
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• v.49 no.5
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• pp.308-322
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• 2016

Objectives: The objective of this study is to investigate associations between contextual characteristics and unmet healthcare needs in South Korea after accounting for individual factors. Methods: The present study used data from the 2012 Korean Community Health Survey (KCHS) of 228 902 adults residing within 253 municipal districts in South Korea. A multilevel analysis was conducted to investigate how contextual characteristics, defined by variables that describe the regional deprivation, degree of urbanity, and healthcare supply, are associated with unmet needs after controlling for individual-level variables. Results: Of the surveyed Korean adults, 12.1% reported experiencing unmet healthcare needs in the past. This figure varied with the 253 districts surveyed, ranging from 2.6% to 26.2%. A multilevel analysis found that the association between contextual characteristics and unmet needs varied according to the factors that caused the unmet needs. The degree of urbanity was associated with unmet need due to "financial burden" (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.42 to 0.66 for rural vs. metropolitan), but not unmet need due to "service not available when needed." There were no significant associations between these unmet need measures and regional deprivation. Among individual-level variables, income level showed the highest association with unmet need due to "financial burden" (OR, 5.63; 95% CI, 4.76 to 6.66), while employment status showed a strong association with unmet need due to "service not available when needed." Conclusions: Our finding suggests that different policy interventions should be considered for each at-risk population group to address the root cause of unmet healthcare needs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.581-588
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• 2017

This study was conducted to determine which factors would predict metabolic syndrome (MetS) perception and exercise by applying a machine learning classifier, or Extreme Gradient Boosting algorithm (XGBoost) from July 2014 to December 2015. Data were obtained from the Korean Community Health Survey (KCHS), representing different community-dwelling Korean adults 19 years and older, from 2009 to 2013. The dataset includes 370,430 adults. Outcomes were categorized as follows based on the perception of MetS and physical activity (PA): Stage 1 (no perception, no PA), Stage 2 (perception, no PA), and Stage 3 (perception, PA). Features common to all questionnaires for the last 5 years were selected for modeling. Overall, there were 161 features, categorical except for age and the visual analogue scale (EQ-VAS). We used the Extreme Boosting algorithm in R programming for a model to predict factors and achieved prediction accuracy in 0.735 submissions. The top 10 predictive factors in Stage 3 were: age, education level, attempt to control weight, EQ mobility, nutrition label checks, private health insurance, EQ-5D usual activities, anti-smoking advertising, EQ-VAS, education in health centers for diabetes, and dental care. In conclusion, the results showed that XGBoost can be used to identify factors influencing disease prevention and management using healthcare bigdata.

• Journal of International Academy of Physical Therapy Research
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• v.6 no.1
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• pp.828-832
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• 2015

The purpose of this study was to investigate the relationship the quality of life, osteoarthritis and osteoporosis in the Republic of Korea. This study was utilized raw data from the 2010 KCHS. In total, 229,229 individuals participated in the 2010 survey. The final analysis was identified 22,545 individuals who had been diagnosed by a doctor with arthritis or osteoporosis. To identify the relationship between the quality of life - related after treated or treating of arthritis, osteoporosis, A multiple linear regression analysis was performed. Treating group for osteoarthritis of their quality of life has statistically been less than after treated group(B=-.068, p<.001). Treating group for osteoporosis of their quality of life has statistically been less than after treated group(B=-.083, p<.001). Non-treatment group who was diagnosed by doctor, but no treated subject for osteoarthritis of their quality of life has statistically been less than after treated group(B=-.075, p<.001). Non-treatment group that was diagnosed by doctor, but no treated subject for osteoporosis of their quality of life has statistically been less than after treated group(B=-.045, p<.001). Non-treatment group who was diagnosed by doctor, but no treated subject for osteoporosis and arthritis of their quality of life has statistically been less than after treated group(B=-.0121, p<.001). as a result of those data, we understand that the decision maker for treatment has been chosen by quality of life, including pain, mobility activity and so on.