Purpose This study aimed to investigate the prevalence and risk factors of diabetic retinopathy (DR) in people with diabetes mellitus (DM) using Korean National Health and Nutrition Examination Survey VII (2017~2018).
Methods: DM was defined as in two ways; 1) doctor's diagnosis (Group 1, n=549), 2) one of doctor's diagnosis, medication, or hyperglycemia (Group 2, n=849). The DR prevalence was measured as the prevalence proportion (%). Risk factors for developing DR were analyzed using multiple logistic regression, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.
Results: The prevalence of DR was 25.87% in Group 1 and 20.14% in Group 2. Risk factors for DR were identified as insulin therapy (Group 1: OR=5.31, Group 2: OR=5.27), DM duration ≥10 years (Group 1: OR=2.20, Group 2: OR=3.10), and systolic blood pressure ≥140 mmHg (Group 1: OR=2.26, Group 2: OR=2.23) for both groups.
Conclusion: Considering the DR prevalence, eye examinations education is highly recommended as part of a diabetes management programs in the community. It is also proposed to shorten the eye examination cycle for people with risk factors and establish a referral system to link between screening to treatment.
PURPOSE The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region. METHODS This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM). RESULTS The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors. CONCLUSION Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.
PURPOSE This study aimed to verify the predictive validity of Comprehensive Korean Frailty Instrument (CKFI) among older adults. METHODS A secondary analysis of data from a prospective cohort study was conducted. Frailty was determined in older adults (N=9,188) according to the data in 2008 and the effects of frailty on adverse outcomes (such as institutionalization and death) were evaluated according to the data in 2011. The Cardiovascular Health Study (CHS) index was used to compare with the predictive validity of CKFI. RESULTS The prevalence of frailty was 26.3%. With the CKFI, the frail group had a higher risk of negative health outcomes compared to the robust and pre-frail groups after three years. The two of the highest risks identified using the CKFI and CHS index were institutionalization (5.522 times higher) and mortality (3.210 times higher). For both instruments, the survival analysis revealed that the risk of death increased as the degree of frailty increased. CONCLUSION The CKFI consisting of self-report items and multidimensional aspects of frailty can be used as a simple instrument for assessing the frailty of older adults residing in a local community in Korea.
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PURPOSE This study was to estimate the prevalence of dementia in order to estimate the associations of dementia with its risk factors in the community elderly. METHODS The multistage random cluster sampling method was used to select the subjects. The response rate was 94.3%. For the 1st stage screening survey, the Korean-version Mini-Mental State Examination (K-MMSE) and the Bathel Index of activities of daily living (ADL) and instrumental activities of daily living (IADL) were used as primary screening tools. At the 2nd stage, diagnoses were confirmed according to the Clinical Dementia Rating Scale (CDR) and Computer Tomogram (CT). RESULTS Age-sex adjusted prevalence (%) [95% CI] of dementia was 6.25% [4.47-7.83] (male 4.21% [2.40-6.02]; female 8.28% [5.71-10.85]). Four statistically significant risk factors of the dementia were identified: age 70-74 (OR=1.367), age 75-79 (OR=1.712), age 80-84 (OR=2.465), age 85 over (OR=7.363); illiteracy (OR=3.827); unconsciousness after head injury (OR=3.383), and no exercise (OR=2.188). Hosmer and Lemeshow goodness-of-fit index of dementia risk model was E (logit of dementia)= -4.337+0.312*Age(70~74)+0.538*Age(75~79)+0.902*Age(80~84)+1.996*Age(85over)+1.342*Illiteracy+1.219*Unconsciousness after head trauma+0.783*No exercise. We confirmed that the overall prevalence of dementia in adults aged 65 and older was 94.3%. The risk factors of dementia were explained by age, illiteracy, unconsciousness after head trauma and no exercise. CONCLUSION These data have been used to estimate the incidence of dementia in elderly community population and to manage the possible role of risk factors as predictors of dementia.