• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.89-104
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• 2017

Objectives : The purpose of this study was to find the determinants for non-participation in health screenings among the disabled. Methods : We used 2014-15 Korea Health Panel data and analyzed 1,073 people with disabilities older than 19 years to investigate the two-year health screening participation rates. Multiple logistic regression analyses were conducted to analyze the factors affecting non-participation in health screenings. Results : Of the 1,073 people with disabilities who were analyzed, 29.8% and 27.1% participated in NHI mass screenings and cancer screenings, respectively. In both screenings, non-participation rates were higher in people aged 19-49 and lower in people aged 50 -69 than those aged 70 or older; higher in people with lower education, higher in people with private health insurance; higher in people with fewer chronic diseases; and higher in people with severe disability ratings. Conclusions : People with disabilities should be provided with more appropriate preventive care services according to their disability types and severity compared to people without disabilities.

• Journal of Preventive Medicine and Public Health
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• v.39 no.6
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• pp.511-519
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• 2006

Objectives : As the disabled have higher prevalence rates and earlier onsets of chronic diseases than the non-disabled, their participation in mass screening is important for the early detection and intervention of chronic diseases. Nevertheless, in Korea, the disabled have lower participation rates in mass screening services than the non-disabled. The purpose of the study was to find determinants for the participation in the National Health Insurance (NHI) mass screening program among the disabled. Methods : In this study, the NHI mass screening data of 423,076 disabled people, which were identified using the National Disability Registry (2003), were analyzed. Of the factors affecting the participation rates in mass screenings, the following variables were included for the analysis: socioeconomic stati, such as sex, age, category of health insurance program, region and income, disability characteristics, such as disability type, and severity. A multiple logistic regression analysis was used to evaluate the association between the participation rates, disability characteristics variables and demographic variables. Results : The participation rate in mass screening of the disabled was 41.3%, but was lower in females, an age of more than 70 years, self-employed and for those with an average monthly insurance premium over 133,500 Won and in metropolitan legions. The participation rate was 1.31 times lower in females than males (95% CI=1.29-1.33); 3.50 times lower in the elderly (more than 70 years) than the younger (95% CI=3.33-3.67); 1.43 times lower in those who live in metropolitan areas (95% CI=1.40-1.46); 2.59 times lower for those in a health Insurance program for the self-employed than for employees (95% CI=2.56-2.63), 1.19 times lower for the higher income (more than 133,500) than the lower income group (4,400-22,000) for the average monthly insurance premium (95% CI=1.15-1.23): 2.04 times lower for those with brain palsy and stroke disabilities than with auditory impairments (95% CI: 1.97-2.11) and 3.27 times for those with severe compared to mild disabilities (95% CI=3.15-3.40). Conclusions : The disabled with high severity, and locomotive and communication disabilities have lower participation rates in mass screening services in Korea.

• Journal of Preventive Medicine and Public Health
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• v.45 no.4
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• pp.211-218
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• 2012

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