scholarly journals A Study on Risk Factors of the Incidence of Prostate Cancer Using National Health Insurance Service: Effects of BMI on Age

2019 ◽  
Vol 44 (4) ◽  
pp. 410-418 ◽  
Author(s):  
Hye Sim Kim ◽  
Tae Hwa Go ◽  
Dae Ryong Kang ◽  
Jae Hung Jung ◽  
Sung Won Kwon ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health

Development of an Algorithm for Stroke Prediction: A National Health Insurance Database Study in Korea

2018 ◽  
Vol 79 (3-4) ◽  
pp. 214-220 ◽  
Author(s):  
Seung Nam Min ◽  
Se Jin Park ◽  
Dong Joon Kim ◽  
Murali Subramaniyam ◽  
Kyung-Sun Lee
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Stroke Prevention ◽  
Normal Subjects ◽  
Control Group ◽  
Modifiable Risk Factors ◽  
Stroke Patients

Background: Stroke is the second leading cause of death worldwide and remains an important health burden both for the individuals and for the national healthcare systems. Potentially modifiable risk factors for stroke include hypertension, cardiac disease, diabetes, and dysregulation of glucose metabolism, atrial fibrillation, and lifestyle factors. Objects: We aimed to derive a model equation for developing a stroke pre-diagnosis algorithm with the potentially modifiable risk factors. Methods: We used logistic regression for model derivation, together with data from the database of the Korea National Health Insurance Service (NHIS). We reviewed the NHIS records of 500,000 enrollees. For the regression analysis, data regarding 367 stroke patients were selected. The control group consisted of 500 patients followed up for 2 consecutive years and with no history of stroke. Results: We developed a logistic regression model based on information regarding several well-known modifiable risk factors. The developed model could correctly discriminate between normal subjects and stroke patients in 65% of cases. Conclusion: The model developed in the present study can be applied in the clinical setting to estimate the probability of stroke in a year and thus improve the stroke prevention strategies in high-risk patients. The approach used to develop the stroke prevention algorithm can be applied for developing similar models for the pre-diagnosis of other diseases.

Prediagnosis Smoking, Obesity, Insulin Resistance, and Second Primary Cancer Risk in Male Cancer Survivors: National Health Insurance Corporation Study

2007 ◽  
Vol 25 (30) ◽  
pp. 4835-4843 ◽  
Author(s):  
Sang Min Park ◽  
Min Kyung Lim ◽  
Kyu Won Jung ◽  
Soon Ae Shin ◽  
Keun-Young Yoo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Health Insurance ◽  
Cancer Survivors ◽  
National Health Insurance ◽  
National Health ◽  
Smoking History ◽  
Second Primary ◽  
Primary Cancer ◽  
Second Primary Cancer

Purpose Smoking, obesity, and insulin resistance are well-known risk factors for cancer, yet few epidemiology studies evaluate their role as risk factors for a second primary cancer (SPC). Patients and Methods We identified 14,181 men with a first cancer from the National Health Insurance Corporation Study cohort. We obtained data on fasting glucose level, body mass index (BMI), and smoking history from an enrollment interview (1996). We obtained SPC incidence data for 1996 through 2002 from the Korean Central Cancer Registry. We used the standard Poisson regression model to estimate the age- and multivariate-adjusted relative risk (RR) for SPCs in relation to smoking history, BMI, and insulin resistance before diagnosis. Results We observed 204 patients with SPC. The overall age-standardized incidence rate of SPC was 603.2 occurrences per 100,000 person-years, which was about 2.3 times higher than that of first cancer in the general male population. Multivariate regression revealed that lung (RR, 3.69; 95% CI, 1.35 to 10.09) and smoking-related (RR, 2.02; 95% CI, 1.02 to 4.03) SPCs were significantly associated with smoking. Obese patients (BMI ≥ 25 kg/m2) had significantly elevated RRs for colorectal (RR, 3.45; 95% CI, 1.50 to 7.93) and genitourinary (RR, 3.61; 95% CI, 1.36 to 9.54) SPCs. Patients with a fasting serum glucose concentration ≥ 126 mg/dL had a higher RR for hepatopancreatobiliary (RR, 3.33; 95% CI, 1.33 to 8.37) and smoking-related (1.93; 95% CI, 1.01 to 3.68) SPCs. Conclusion Prediagnosis smoking history, obesity, and insulin resistance were risk factors for several SPCs. These findings suggest that more thorough surveillance and screening for SPCs is needed for the cancer survivors with these risk factors.

scholarly journals National practice patterns and direct medical costs for prostate cancer in Korea across a 10 year period: a nationwide population-based study using a national health insurance database

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ho Won Kang ◽  
Seok-Joong Yun ◽  
Jae Il Chung ◽  
Hoon Choi ◽  
Jae Heon Kim ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Practice Patterns ◽  
Combined Therapy ◽  
Medical Costs ◽  
Treatment Costs ◽  
Direct Medical Costs ◽  
National Practice

Abstract Background A complete enumeration study was conducted to evaluate trends in national practice patterns and direct medical costs for prostate cancer (PCa) in Korea over a 10-year retrospective period using data from the Korean National Health Insurance Service. Methods Reimbursement records for 874,924 patients diagnosed between 2002 and 2014 with primary PCa according to the International Classification of Disease (ICD) 10th revision code C61 were accessed. To assess direct medical costs for patients newly diagnosed after 2005, data from 68,596 patients managed between January 2005 and 31 December 2014 were evaluated. Results From 2005 to 2014, the total number of PCa patients showed a 2.6-fold increase. Surgery and androgen deprivation therapy were the most common first-line treatment, alone or within the context of combined therapy. Surgery as a monotherapy was performed in 23.5% of patients in 2005, and in 39.4% of patients in 2014. From 2008, the rate of robot-assisted RP rose sharply, showing a similar rate to open RP in 2014. Average total treatment costs in the 12 months post-diagnosis were around 10 million Korean won. Average annual treatment costs thereafter were around 5 million Korean won. Out-of-pocket expenditure was highest in the first year post-diagnosis, and ranged from 12 to 17% thereafter. Conclusions Between 2005 and 2014, a substantial change was observed in the national practice pattern for PCa in Korea. The present data provide a reliable overview of treatment patterns and medical costs for PCa in Korea.

The Association of Adolescent Fatness and Fitness With Risk Factors for Adult Metabolic Syndrome: A 22-Year Follow-up Study

2014 ◽  
Vol 11 (4) ◽  
pp. 823-830 ◽  
Author(s):  
Yoonsuk Jekal ◽  
YoonMyung Kim ◽  
Ji Eun Yun ◽  
Eun Sung Kim ◽  
Masayo Naruse ◽  
...  
Keyword(s):  
Risk Factors ◽  
High School ◽  
Metabolic Syndrome ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Health Examination ◽  
Follow Up Study ◽  
Fitness Levels

Background:Few studies have been conducted to explore the associations of fatness and fitness during adolescence with risk factors of metabolic syndrome (MetS) during adulthood, particularly in Asians.Methods:Adolescent anthropometric and fitness data were collected during the participants’ high school years (N = 15,896) and their corresponding health examination data from adulthood were taken from the National Health Insurance Corporation (NHIC) in Korea. A total of 1,006 participants (6.3%) were analyzed in the study.Results:The odds ratios (ORs) for being overweight (BMI ≥ 25 kg/m2) during adulthood was 11.87 (95% CI: 4.19–33.59) in men and 8.44 (95% CI: 1.78–40.02) in women, respectively, in the fattest group vs. the leanest group during adolescence. Participants with low fitness levels during adolescence were more likely to be overweight and have abnormal MetS risk factors in adulthood vs. those with high fitness levels. Joint exposure analyses of fatness and fitness showed that male participants who were more fat and unfit during adolescence had 4.11 (95% CI: 1.19–14.14) and 3.04 (95% CI: 1.17–11.12) times higher risk of having abnormal glucose and MetS risks during adulthood, respectively.Conclusions:Fatness and fitness levels during adolescence appear to be significantly associated with the MetS risk factors and prevalence in adulthood in Koreans.

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