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Original Articles
- Incidence, Risk Factors, and Prediction of Myocardial Infarction and Stroke in Farmers: A Korean Nationwide Population-based Study
- Solam Lee, Hunju Lee, Hye Sim Kim, Sang Baek Koh
- J Prev Med Public Health. 2020;53(5):313-322. Published online July 14, 2020
- DOI: https://doi.org/10.3961/jpmph.20.156
- 4,650 View
- 228 Download
- 7 Crossref
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Abstract
PDF - Objectives
This study was conducted to determine the incidence and risk factors of myocardial infarction (MI) and stroke in farmers compared to the general population and to establish 5-year prediction models.
Methods
The farmer cohort and the control cohort were generated using the customized database of the National Health Insurance Service of Korea database and the National Sample Cohort, respectively. The participants were followed from the day of the index general health examination until the events of MI, stroke, or death (up to 5 years).
Results
In total, 734 744 participants from the farmer cohort and 238 311 from the control cohort aged between 40 and 70 were included. The age-adjusted incidence of MI was 0.766 and 0.585 per 1000 person-years in the farmer and control cohorts, respectively. That of stroke was 0.559 and 0.321 per 1000 person-years in both cohorts, respectively. In farmers, the risk factors for MI included male sex, age, personal history of hypertension, diabetes, current smoking, creatinine, metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). Those for stroke included male sex, age, personal history of hypertension, diabetes, current smoking, high γ-glutamyl transferase, and metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). The prediction model showed an area under the receiver operating characteristic curve of 0.735 and 0.760 for MI and stroke, respectively, in the farmer cohort.
Conclusions
Farmers had a higher age-adjusted incidence of MI and stroke. They also showed distinct patterns in cardiovascular risk factors compared to the general population. -
Summary
Citations
Citations to this article as recorded by
- Lowering Barriers to Health Risk Assessments in Promoting Personalized Health Management
Hayoung Park, Se Young Jung, Min Kyu Han, Yeonhoon Jang, Yeo Rae Moon, Taewook Kim, Soo-Yong Shin, Hee Hwang
Journal of Personalized Medicine.2024; 14(3): 316. CrossRef - Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study
Yuexin Qiu, Shiqi Cheng, Yuhang Wu, Wei Yan, Songbo Hu, Yiying Chen, Yan Xu, Xiaona Chen, Junsai Yang, Xiaoyun Chen, Huilie Zheng
BMJ Open.2023; 13(3): e068045. CrossRef - Varying combination of feature extraction and modified support vector machines based prediction of myocardial infarction
A. Razia Sulthana, A. K. Jaithunbi
Evolving Systems.2022; 13(6): 777. CrossRef - Binary cutpoint and the combined effect of systolic and diastolic blood pressure on cardiovascular disease mortality: A community-based cohort study
Ju-Yeun Lee, Ji Hoon Hong, Sangjun Lee, Seokyung An, Aesun Shin, Sue K. Park, Tariq Jamal Siddiqi
PLOS ONE.2022; 17(6): e0270510. CrossRef - Relationship Between Agricultural Crop Handling and Health Among Community-Dwelling Older Adults
Mitsuhiro NOSE, Yumi KIMURA, Ryota SAKAMOTO
JOURNAL OF THE JAPANESE ASSOCIATION OF RURAL MEDICINE.2022; 71(1): 31. CrossRef - Epidemiology of cardiovascular disease and its risk factors in Korea
Hyeon Chang Kim
Global Health & Medicine.2021; 3(3): 134. CrossRef - Presence of Thrombectomy-capable Stroke Centers Within Hospital Service Areas Explains Regional Variation in the Case Fatality Rate of Acute Ischemic Stroke in Korea
Eun Hye Park, Yong Jin Gil, Chanki Kim, Beom Joon Kim, Seung-sik Hwang
Journal of Preventive Medicine and Public Health.2021; 54(6): 385. CrossRef
- The Accuracy of ICD codes for Cerebrovascular Diseases in Medical Insurance Claims.
- Jong Ku Park, Ki Soon Kim, Chun Bae Kim, Tae Yong Lee, Kang Sook Lee, Duk Hee Lee, Sunhee Lee, Sun Ha Jee, Il Suh, Kwang Wook Koh, So Yeon Ryu, Kee Ho Park, Woonje Park, Seungjun Wang, Hwasoon Lee, Yoomi Chae, Hyensook Hong, Jin Sook Suh
- Korean J Prev Med. 2000;33(1):76-82.
- 3,203 View
- 147 Download
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Abstract
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- OBJECTIVES
We attempted to assess the accuracy of ICD codes for cerebrovascular diseases in medical insurance claims (ICMIC) and to investigate the reasons for error. This study was designed as a preliminary study to establish a nationwide surveillance system. METHODS: A total of 626 patients with medical insurance claims who indicated a diagnosis of cerebrovascular diseases during the period from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 115,600 persons). The KMIC cohort was 10% of those insured who had taken health examinations in 1990 and 1992 consecutively. The registered medical record administrators were trained in the survey technique and gathered data from March to May 1999. The definition of cerebrovascular diseases in this study included cases which met one of two criteria (Minnesota, WHO) or 'definite stroke' in CT/MRI finding. We questioned the medical record administrators to explain the error if the final diagnoses were not coded as stroke. RESULTS: The accuracy rate of the ICMIC was 83.0% (425 cases). Medical records were not available for 8.2% (51 cases) due to the closing of hospitals, the absence of a computer system or omission of medical record, etc. Sixty-three cases (10.0%) were classified as impossible to interpret due to insufficient records in 'major clinical symptoms' or 'neurological deficits'. The most common reason was 'to meet review criteria of medical insurance benefits (52.9%)'. The department where errors in the ICMIC occurred most frequently was the department for medical insurance claims in the hospital. CONCLUSION: The accuracy rate of the ICMIC was 83.0%. -
Summary
- Case-Control Study on Some Risk Factors of Cerebrovascular Diseases in Rural Community: Matched Analysis with One Control per Case.
- Sung Hyun Han, Sung Soo Lee
- Korean J Prev Med. 1988;21(1):82-88.
- 1,823 View
- 22 Download
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Abstract
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- The main objectives of this study were to know the prevalence of cerebrovascular disease, to find the important risk factors of cerebrovascular diseases. This study is a part of Eumseong Community Health Project supportes by GTZ(West German Government). 116 perceived cases of cerebrovascular disease were first screened by health interview and examinations and 80 cases were diagnosed as a cerebrovascular group. For comparison, 80 cases were matched with their neighbor controls of the same sex and the similar age. 1. The prevalence rate for cerebrovascular diseases was 476.3 per 100,000 population which is considered to be very high compared with that of other countries. Age adjusted rate for cerebrovascular diseases was 261.6 per 100,000. 2. Among the risk factors examined for the association with cerebrovascular diseases by case-control study, and analyzed by paired marginal test(McNemar's chi-square-test) and odds ratio, only hypertension showed high significant statistical association.
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