• 제목/요약/키워드: Population risk

검색결과 2,463건 처리시간 0.028초

유병자 보험의 보장성 확대를 위한 유병자들의 중증질환 발생률 비교 (Comparison of Severe Disease Incidence among Eligible Insureds to Expand Coverage for Substandard Risks)

  • 백혜연;손지훈;신지민
    • Journal of health informatics and statistics
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    • 제43권4호
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    • pp.318-328
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    • 2018
  • Objectives: People are living longer, but often with diseases or chronic conditions. As a consequence, interest in resolving insurance blind spots is growing. This study provides substandard risk-relevant statistics to help substandard risks who are likely to fall in insurance blind spots obtain insurance coverage, such as the reimbursement of medical costs, as well as to stimulate insurance product development. Methods: This study uses National Health Insurance Service (NHIS) cohort data to determine the relevant statistics. The incidence rates of severe diseases are derived and compared against standard risks to establish a set of relative risk factors. These incidence rates of standard and substandard risks are then compared. Results: Currently, an individual's cancer history is used in the underwriting process for simplified issue insurance. However, underwriting focusing on hospitalization and procedures related to serious illnesses could lower premiums for substandard risks. Moreover, the statistical results could be used to expand the coverage of health insurance products. Conclusions: This study's relative risk factors can be used to derive simplified issue premium rates for substandard risks. They can also be used to implement discount and loading schemes for medical reimbursement insurance and help insurance companies implement proactive risk management.

Prevalence of Neck Pain among Athletes: A Systematic Review

  • Noormohammadpour, Pardis;Farahbakhsh, Farbod;Farahbakhsh, Farzin;Rostami, Mohsen;Kordi, Ramin
    • Asian Spine Journal
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    • 제12권6호
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    • pp.1146-1153
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    • 2018
  • Many studies have investigated the prevalence of neck pain (NP) and its risk factors in the general population. However, the prevalence of NP among athletes has not yet been systematically investigated. We aimed to systematically review the prevalence of NP in athletes. A comprehensive search was conducted in September 2015 using PubMed, Ovid SP Medline, ISI, and Google Scholar. We included studies in English that reported the prevalence of NP in an athletic population during a defined period of time. We assessed the risk of bias in studies due to various definitions of NP, response rates, and reliability of the study instruments. Two reviewers independently assessed the studies' quality and performed data extraction. Of 1,675 titles identified, eight articles were assessed for risk of bias, and six with low or moderate risk were included. NP was shown to be prevalent in athletes, with a 1-week prevalence ranging from 8% to 45%, a 1-year prevalence ranging from 38% to 73%, and a lifetime prevalence of about 48%. The prevalence of NP in athletes is high. More studies regarding the prevalence and risk factors of NP may be useful for planning educational programs and developing appropriate rehabilitation protocols and preventive guidelines. Researchers are encouraged to perform epidemiologic studies in athletes with a low risk of bias.

코로나19 발생의 지역사회 위험요인 분석 (Exploration of Community Risk Factors for COVID-19 Incidence in Korea)

  • 심보람;박명배
    • 보건행정학회지
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    • 제32권1호
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    • pp.45-52
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    • 2022
  • Background: There are regional variations in the incidence of coronavirus disease 2019 (COVID-19), which means that some regions are more exposed to the risk of COVID-19 than others. Therefore, this study aims to investigate regional variations in the incidence of COVID-19 in Korea and identify risk factors associated with the incidence of COVID-19 using community-level data. Methods: This study was conducted at the districts (si·gun·gu) level in Korea. Data of COVID-19 incidence by districts were collected from the official website of each province. Data was also obtained from the Korean Statistical Information Service and the Community Health Survey; socio-demographic factor, transmission pathway, healthcare resource, and factor in response to COVID-19. Community risk factors that drive the incidence of COVID-19 were selected using a least absolute shrinkage and selection operator regression. Results: As of June 2021, the incidence of COVID-19 differed by more than 80 times between districts. Among the candidate factors, sex ratio, population aged 20-29, local financial independence, population density, diabetes prevalence, and failure to comply with the quarantine rules were significantly associated with COVID-19 incidence. Conclusion: This study suggests setting COVID-19 quarantine policy and allocating resources, considering the community risk factors. Protecting vulnerable groups should be a high priority for these policies.

Does Natural Disasters Have an Impact on Poverty in East Java, Indonesia?

  • SANTOSO, Dwi Budi;AULIA, Dynda Fadhlillah
    • The Journal of Asian Finance, Economics and Business
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    • 제10권1호
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    • pp.57-66
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    • 2023
  • There is a strong association between poverty levels and the probability of natural disasters. East Java, however, exhibits a distinct pattern. While the rate of poverty is declining, natural disasters are becoming more severe. Considering that East Java is an area with a high risk of natural disasters and a high poverty rate, this study aims to estimate the effect of environmental preservation and the magnitude of the impact of disasters as measured by the Disaster Risk Index (IRBI) on poverty. The 3SLS model is used on secondary data from 38 districts/cities from 2015 to 2021 as an analytical database. Based on the estimation results, there are 3 findings in this study: (i) the role of government, population development, and economic activity have a strong influence on nature conservation; (ii) nature conservation has a strong influence on disaster risk; and (iii) the disaster risk index has a strong effect on poverty. As a result, areas with a high level of disaster risk have a slower rate of poverty reduction. The role of this research is to show the need for the government's role in improving the quality of natural disaster mitigation anticipation, economic activity, and the role of the population in a sustainable manner.

SUMRAY: R and Python Codes for Calculating Cancer Risk Due to Radiation Exposure of a Population

  • Michiya Sasaki;Kyoji Furukawa;Daiki Satoh;Kazumasa Shimada;Shin'ichi Kudo;Shunji Takagi;Shogo Takahara;Michiaki Kai
    • Journal of Radiation Protection and Research
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    • 제48권2호
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    • pp.90-99
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    • 2023
  • Background: Quantitative risk assessments should be accompanied by uncertainty analyses of the risk models employed in the calculations. In this study, we aim to develop a computational code named SUMRAY for use in cancer risk projections from radiation exposure taking into account uncertainties. We also aim to make SUMRAY publicly available as a resource for further improvement of risk projection. Materials and Methods: SUMRAY has two versions of code written in R and Python. The risk models used in SUMRAY for all-solid-cancer mortality and incidence were those published in the Life Span Study of a cohort of the atomic bomb survivors in Hiroshima and Nagasaki. The confidence intervals associated with the evaluated risks were derived by propagating the statistical uncertainties in the risk model parameter estimates by the Monte Carlo method. Results and Discussion: SUMRAY was used to calculate the lifetime or time-integrated attributable risks of cancer under an exposure scenario (baseline rates, dose[s], age[s] at exposure, age at the end of follow-up, sex) specified by the user. The results were compared with those calculated using another well-known web-based tool, Radiation Risk Assessment Tool (RadRAT; National Institutes of Health), and showed a reasonable agreement within the estimated confidential interval. Compared with RadRAT, SUMRAY can be used for a wide range of applications, as it allows the risk projection with arbitrarily specified risk models and/or population reference data. Conclusion: The reliabilities of SUMRAY with the present risk-model parameters and their variance-covariance matrices were verified by comparing them with those of the other codes. The SUMRAY code is distributed to the public as an open-source code under the Massachusetts Institute of Technology license.

Vitamin D deficiency is an independent risk factor for cardiovascular disease in Koreans aged ${\geq}50$ years: results from the Korean National Health and Nutrition Examination Survey

  • Park, Sun-Min;Lee, Byung-Kook
    • Nutrition Research and Practice
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    • 제6권2호
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    • pp.162-168
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    • 2012
  • Vitamin D deficiency is a risk factor for metabolic syndromes. We examined whether vitamin D deficiency altered the prevalence of cardiovascular disease (CVD) in older Koreans. Cross-sectional analysis of data from the Korean National Health and Nutrition Examination Survey IV 2008-2009 was used to examine the association between serum 25-hydroxyvitamin D (25(OH)D) levels and the prevalence of CVD in a representative population-based sample of 5,559 men and women aged ${\geq}50$ years. CVD was defined as angina pectoris, myocardial infarction, or stroke. The prevalence of CVD (7.0%) in the older Korean population was lower than that in the older US population, although average serum 25(OH)D levels were much lower in the Korean population. Additionally, serum 25(OH)D levels did not differ significantly between the CVD and non-CVD groups. However, subjects in the lowest category (< 25 nmol/l) of serum 25(OH)D level had the greatest prevalence of CVD, about two-fold higher than subjects in the highest category (> 75 nmol/l), after adjusting for age, gender, body mass index, education level, residence location, and region. The prevalence of other risk factors for CVD, including higher waist circumference, fasting glucose, low-density lipoprotein (LDL) cholesterol, and triglyceride levels and lower high-density lipoprotein (HDL) cholesterol levels, was also higher among subjects in the lowest category than among those in the highest category. In conclusion, low serum 25(OH)D may be an independent risk factor for CVD in older Koreans.

GSTM1 Polymorphisms and Lung Cancer Risk in the Chinese Population: a Meta-Analysis Based on 47 Studies

  • Chen, Xin-Ping;Xu, Wei-Hua;Xu, Da-Feng;Xie, Xian-He;Yao, Jia;Fu, Sheng-Miao
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권18호
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    • pp.7741-7746
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    • 2014
  • Although a number of studies have been conducted on the association between GSTM1 polymorphisms and lung cancer in China, this association remains elusive and controversial. To clarify the effects of GSTM1 polymorphisms on the risk of lung cancer, a meta-analysis was performed in the Chinese population. Related studies were identified from PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM) up to 5th April 2014. A total of 45 articles (47 studies) including 6,623 cases and 7,865 controls were involved in this meta-analysis. Overall, a significant association (OR = 1.45, 95%CI: 1.32-1.60) was found between the null GSTM1 and lung cancer risk when all studies in Chinese population pooled into the meta-analysis. In subgroup analyses stratified by quality score, geographic area and source of controls, the same results were observed under all the models. This meta-analysis showed that the null GSTM1 may be a potential biomarker for lung cancer risk in Chinese, but further studies with gene-gene and gene-environment interactions are required for definite conclusions.

Interaction of XRCC1 and XPD Gene Polymorphisms with Lifestyle and Environmental Factors Regarding Susceptibility to Lung Cancer in a High Incidence Population in North East India

  • Saikia, Bhaskar Jyoti;Phukan, Rup Kumar;Sharma, Santanu Kumar;Sekhon, Gaganpreet Singh;Mahanta, Jagadish
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권5호
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    • pp.1993-1999
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    • 2014
  • Background: This study aimed to explore the role of XRCC1 (Arg399Gln) and XPD (Lys751Gln) gene polymorphisms, lifestyle and environmental factors as well as their possible interactions in propensity to develop lung cancer in a population with high incidence from North East India. Materials and Methods: A total of 272 lung cancer cases and 544 controls were collected and XRCC1 (Arg399Gln) and XPD (Lys751Gln) genotypes were analyzed using a polymerase chain reaction based restriction fragment length polymorphism assay. Conditional multiple logistic regression analysis was used to calculate adjusted odds ratios and 95% confidence intervals after adjusting for confounding factors. Results: The combined Gln/Gln genotype of XRCC1 and XPD genes (OR=2.78, CI=1.05-7.38; p=0.040) was significantly associated with increased risk for lung cancer. Interaction of XRCC1Gln/Gln genotype with exposure of wood combustion (OR=2.56, CI=1.16-5.66; p=0.020), exposure of cooking oil fumes (OR=3.45, CI=1.39-8.58; p=0.008) and tobacco smoking (OR=2.54, CI=1.21-5.32; p=0.014) and interaction of XPD with betel quid chewing (OR=2.31, CI=1.23-4.32; p=0.009) and tobacco smoking (OR=2.13, CI=1.12-4.05; p=0.022) were found to be significantly associated with increased risk for lung cancer. Conclusions: Gln/Gln alleles of both XRCC1 and XPD genes appear to amplify the effects of household exposure, smoking and betel quid chewing on lung cancer risk in the study population.

Association of a p53 Codon 72 Gene Polymorphism with Environmental Factors and Risk of Lung Cancer: a Case Control Study in Mizoram and Manipur, a High Incidence Region in North East India

  • Saikia, Bhaskar Jyoti;Das, Mandakini;Sharma, Santanu Kumar;Sekhon, Gaganpreet Singh;Zomawia, Eric;Singh, Yanglem Mohen;Mahanta, Jagadish;Phukan, Rup Kumar
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권24호
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    • pp.10653-10658
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    • 2015
  • Background: A very high incidence of lung cancer is observed in Mizoram and Manipur, North East India. We conducted a population based case control study to establish associations of p53 codon 72 polymorphisms and interactions with environmental factors for this high incidence. Material and Methods: A total of 272 lung cancer cases and 544 controls matched for age (${\pm}5years$), sex and ethnicity were collected and p53 codon 72 polymorphism genotypes were analyzed using a polymerase chain based restriction fragment length polymorphism assay. We used conditional multiple logistic regression analysis to calculate adjusted odds ratios and 95% confidence intervals after adjusting for confounding factors. Results: p53 Pro/Pro genotype was significantly associated with increased risk of lung cancer in the study population (adjusted OR=2.14, CI=1.35-3.38, p=0.001). Interactions of the p53 Pro/Pro genotype with exposure to wood smoke (adjusted OR=3.60, CI=1.85-6.98, p<0.001) and cooking oil fumes (adjusted OR=3.27, CI=1.55-6.87, p=0.002), betel quid chewing (adjusted OR=3.85, CI=1.96-7.55, p<0.001), tobacco smoking (adjusted OR=4.42, CI=2.27-8.63, p<0.001) and alcohol consumption (adjusted OR=3.31, CI=1.10-10.03, p=0.034) were significant regarding the increased risk of lung cancer in the study population. Conclusions: The present study provided preliminary evidence that a p53 codon 72 polymorphism may effect lung cancer risk in the study population, interacting synergistically with environmental factors.

머신러닝 기반 부산 청년인구 유출위험 요인 분석 (Analysis of Risk Factors for Youth Population Outflow in Busan Based on Machine Learning)

  • 손서영;양혜성;박민서
    • 문화기술의 융합
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    • 제9권6호
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    • pp.131-136
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    • 2023
  • 지방을 떠나 수도권으로 이동하는 청년들이 나날이 늘고 있다. 청년 유출의 요인을 파악하기 위한 연구들이 다양하게 진행되고 있으나 각 지방별로 분석하는 연구는 부족한 실정이다. 이에 따라 본 연구는 부산의 청년 인구 유출 요인을 분석하고, 머신러닝 기법을 사용해 청년 인구 유출 위험 등급을 예측하고자 한다. 국가통계포털에서 수집한 부산의 구별 데이터를 활용하여 나이대(20대 초반, 20대 후반, 30대 초반)별로 세 그룹으로 나눈 뒤, 의사결정나무와 랜덤 포레스트 알고리즘을 이용해 청년 인구 유출 위험 등급을 분류하고 예측한다. 그 결과, 청년 인구 유출 위험 등급 예측 모델은 나이 그룹별 각각 최고 정확도 0.93, 0.75, 0.63을 갖는다.