Incidence, Risk Factors, and Prediction of Myocardial Infarction and Stroke in Farmers: A Korean Nationwide Population-based Study
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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.
Abstract
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.
참고문헌 (40)
- Kim YO, "Structural change of agricultural population and farming characteristics of women’s management", J Rural Soc, 10, pp.7~35 (2000)
- 임형백, "한국농촌계획의 전개와 농촌인구의 변화", 농업교육과 인적자원개발, 37(4), pp.199~224 (2005), 한국농·산업교육학회
- 기도형, "농업 종사자의 근골격계질환 실태 조사", 한국안전학회지, 24(3), pp.59~64 (2009), 한국안전학회
- 김경란, "노지고추 농업인의 건강실태와 근골격계 작업부담", 대한인간공학회지, 28(3), pp.7~15 (2009), 대한인간공학회
- Brackbill RM, "Prevalence of chronic diseases and impairments among US farmers, 1986-1990", Am J Epidemiol, 139(11), pp.1055~1065 (1994)
- Asgary R, "Hypertension, pre-hypertension, and associated risk factors in a subsistent farmer community in remote rural central India", J Public Health, 21(3), pp.251~258 (2013)
- Wunschel J, "Occupational agriculture organic dust exposure and its relationship to asthma and airway inflammation in adults", J Asthma, 53(5), pp.471~477 (2016)
- Linaker C, "Respiratory illness in agricultural workers", Occup Med(Lond), 52(8), pp.451~459 (2002)
- Spiewak R, "Pesticides as a cause of occupational skin diseases in farmers", Ann Agric Environ Med, 8(1), pp.1~5 (2001)
- Susitaival P, "Handbook of occupational dermatology", pp.924~931 (2000), Springer
- Kim DJ, "General and emergency medical use status in rural residents and implications", Health Welf Issue Focus, 159, pp.1~8 (2012)
- 이유진, "의료시설 접근성과 대중교통 접근성이 농촌 및 도시 지역 거주 노인의 주관적 건강상태에 미치는 영향 분석 - 일반화된 순서형 로짓 모형의 적용 -", 한국지역개발학회지, 27(1), pp.65~88 (2015), 한국지역개발학회
- Roth GA, "Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015", J Am Coll Cardiol, 70(1), pp.1~25 (2017)
- Feigin VL, "Global burden of stroke and risk factors in 188 countries, during 1990-2013 : a systematic analysis for the Global Burden of Disease Study 2013", Lancet Neurol, 15(9), pp.913~924 (2016)
- Eagle KA, "A validated prediction model for all forms of acute coronary syndrome : estimating the risk of 6-month postdischarge death in an international registry", JAMA, 291(22), pp.2727~2733 (2004)
- Jee SH, "Stroke risk prediction model : a risk profile from the Korean study", Atherosclerosis, 197(1), pp.318~325 (2008)
- Damalas CA, "Farmers’ exposure to pesticides : toxicity types and ways of prevention", Toxics, 4(1), pp.1~ (2016)
- Vogelzang PF, "Endotoxin exposure as a major determinant of lung function decline in pig farmers", Am J Respir Crit Care Med, 157(1), pp.15~18 (1998)
- Coble J, "Prevalence of exposure to solvents, metals, grain dust, and other hazards among farmers in the Agricultural Health Study", J Expo Anal Environ Epidemiol, 12(6), pp.418~426 (2002)
- Seong SC, "Data resource profile : the national health information database of the National Health Insurance Service in South Korea", Int J Epidemiol, 46(3), pp.799~800 (2017)
- Lee J, "Cohort profile: the national health insurance service-national sample cohort (NHIS-NSC), South Korea", Int J Epidemiol, 46(2), pp.e15~ (2017)
- 김희진, "Validity of the Diagnosis of Acute Myocardial Infarction in Korean National Medical Health Insurance Claims Data: The Korean Heart Study (1)", Korean Circulation Journal, 42(1), pp.10~15 (2012), 대한심장학회
- Kim JY, "Development of stroke identification algorithm for claims data using the multicenter stroke registry database", PLoS One, 15(2), pp.e0228997~ (2020)
- Grundy SM, "Implications of recent clinical trials for the national cholesterol education program adult treatment panel III guidelines", J Am Coll Cardiol, 44(3), pp.720~732 (2004)
- Sekhotha MM, "Exposure to agrochemicals and cardiovascular disease : a review", Int J Environ Res Public Health, 13(2), pp.229~ (2016)
- Quinteros E, "Heavy metals and pesticide exposure from agricultural activities and former agrochemical factory in a Salvadoran rural community", Environ Sci Pollut Res Int, 24(2), pp.1662~1676 (2017)
- Raksanam B, "Health risk behaviors associated with agrochemical exposure among rice farmers in a rural community, Thailand: a community-based ethnography", Asia Pac J Public Health, 26(6), pp.588~595 (2014)
- Andreatta S, "Agrochemical exposure and farmworker health in the Caribbean : a local", global perspective, 1998, pp.57(3), 350~358
- Faria NM, "Occupational exposure to pesticides, nicotine and minor psychiatric disorders among tobacco farmers in southern Brazil", Neurotoxicology, 45, pp.347~354 (2014)
- Appelros P, "Sex differences in stroke epidemiology : a systematic review", Stroke, 40(4), pp.1082~1090 (2009)
- Roquer J, "Sex differences in first-ever acute stroke", Stroke, 34(7), pp.1581~1585 (2003)
- Reeves MJ, "Sex differences in stroke : epidemiology, clinical presentation, medical care, and outcomes", Lancet Neurol, 7(10), pp.915~926 (2008)
- Anand M, "Hypertension and myocarditis in rabbits exposed to hexachlorocyclohexane and endosulfan", Vet Hum Toxicol, 32(6), pp.521~523 (1990)
- Gordon CJ, "Prolonged elevation in blood pressure in the unrestrained rat exposed to chlorpyrifos", Toxicology, 146(1), pp.1~13 (2000)
- Morton WE, "Hypertension in Oregon pesticide-formulating workers", J Occup Med, 17(3), pp.182~185 (1975)
- Sandifer SH, "Pesticide effects on occupationally exposed workers : a summary of four years observation of industry and farm volunteers in South Carolina", IMS Ind Med Surg, 41(5), pp.9~12 (1972)
- Lee DH, "Can persistent organic pollutants explain the association between serum gamma-glutamyltransferase and type 2 diabetes", Diabetologia, 51(3), pp.402~407 (2008)
- Ha MH, "Association between serum concentrations of persistent organic pollutants and self-reported cardiovascular disease prevalence: results from the National Health and Nutrition Examination Survey, 1999-2002", Environ Health Perspect, 115(8), pp.1204~1209 (2007)
- Lee DH, "Is serum gamma-glutamyltransferase a biomarker of xenobiotics, which are conjugated by glutathione?", Arterioscler Thromb Vasc Biol, 28(4), pp.e26~e28 (2008)
- Park S, "Altered risk for cardiovascular events with changes in the metabolic syndrome status : a nationwide population-based study of approximately 10 million persons", Ann Intern Med, 171(12), pp.875~884 (2019)