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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
  • 4,962 View
  • 233 Download
  • 8 Crossref
AbstractAbstract 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

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    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
  • Ischemic heart disease and stroke in male couriers: a cohort study using the national health insurance data and national employment insurance data
    Jiyoung Yoon, Jeehee Min, Eun Mi Kim, Jaiyong Kim, Inah Kim
    Frontiers in Public Health.2024;[Epub]     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
Work-Related Musculoskeletal Symptoms Among Dairy Farmers in Gyeonggi Province, Korea.
Ji Hyuk Park, Hyun Sul Lim, Kwan Lee
J Prev Med Public Health. 2010;43(3):205-212.
DOI: https://doi.org/10.3961/jpmph.2010.43.3.205
  • 5,300 View
  • 97 Download
  • 14 Crossref
AbstractAbstract PDF
OBJECTIVES
The prevalence of work-related musculoskeletal symptoms (WMS) among Korean dairy farmers has not been investigated. The purpose of this study was to assess the prevalence of WMS and to evaluate the relationship between WMS and risk factors. METHODS: Self-developed questionnaires including the questionnaire developed by the Korean Occupational Safety and Health agency (KOSHA) were used to investigate WMS among dairy farmers in Gyeonggi Province, Korea. We informed selected dairy farmers about the study and sent the questionnaires by registered mail. They visited a public health center nearby or a branch of public health center on the appointed date and skillful researchers identified or conducted the questionnaires by interview. We analyzed 598 (32.8%) of the 1824 dairy farmers. Multiple logistic regression was implemented to estimate the odds ratios of risk factors. RESULTS: The mean age of the respondents was 50.4 +/- 8.7 years and the proportion of males was 63.0%. The prevalence of WMS at any site was 33.3%. The prevalence of neck WMS was 2.2%, shoulders 10.0%, arms/elbows 5.0%, hands/wrists/fingers 4.2%, low back 11.5%, and legs/feet 11.7%. The adjusted odds ratio of low back WMS for milking 4 or more hours per day was 4.231 (95% CI = 1.124 - 15.932) and statistically significant. Low back WMS (2.827, 95% CI = 1.545 - 5.174) was significantly decreased by education. CONCLUSIONS: Low back WMS increased with milking hours and milking 4 or more hours per day was significantly associated with low back WMS. Low back WMS was significantly reduced with education. We hope that there will be increased attention about WMS in dairy farmers and the subject of future investigations.
Summary

Citations

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    Journal of Occupational Rehabilitation.2024; 34(1): 100.     CrossRef
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    Medicine.2024; 103(8): e37043.     CrossRef
  • Evaluation of working conditions, work postures, musculoskeletal disorders and low back pain among sugar production workers
    Mehrdad Hassani, Reza Hesampour, Joanna Bartnicka, Nasim Monjezi, Sahebeh Mirzaei Ezbarami
    Work.2022; 73(1): 273.     CrossRef
  • Agricultural Risk Factors Related Musculoskeletal Disorders among Older Farmers in Pathum Thani Province, Thailand
    Teeraphun Kaewdok, Sanpatchaya Sirisawasd, Sasitorn Taptagaporn
    Journal of Agromedicine.2021; 26(2): 185.     CrossRef
  • Investigation of Ergonomic Conditions and the Relationship between the Severity of Discomfort and Working Postures among Date Palm Farmers
    Maryam Nourollahi Darabad, Davod Afshari, Javad Nosrati Amirabadi, Gholam abbas Shirali, Ali Sahraneshin Samani
    Journal of Occupational Hygiene Engineering.2021; 8(3): 59.     CrossRef
  • Prevalence and Risk-Factors of Musculoskeletal Disorders Among Provincial High School Teachers in the Philippines
    Lito M AMIT, Gerald T MALABARBAS
    Journal of UOEH.2020; 42(2): 151.     CrossRef
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    I M Rachmi, R A Werdhani, I N Murdana
    Journal of Physics: Conference Series.2018; 1073: 042011.     CrossRef
  • Prevalence and Characteristics of Musculoskeletal Pain in Korean Farmers
    David Min, Sora Baek, Hee-won Park, Sang-Ah Lee, Jiyoung Moon, Jae E. Yang, Ki Sung Kim, Jee Yong Kim, Eun Kyoung Kang
    Annals of Rehabilitation Medicine.2016; 40(1): 1.     CrossRef
  • Prevalence of Musculoskeletal Disorders among Farmers
    Md Monoarul Haque
    MOJ Orthopedics & Rheumatology.2016;[Epub]     CrossRef
  • Musculoskeletal Disorder Symptoms and Its Related Factors among Male Workers in Manufacturing Industries
    Seung-Hyun Lee, Young-Chae Cho
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(10): 6627.     CrossRef
  • Patterns of Work-Related Musculoskeletal Disorders Among Workers in Palm Plantation Occupation
    Leonard Joseph Henry, Ali Jafarzadeh Esfehani, Ayiesah Ramli, Ismarulyusda Ishak, Maria Justine, Vikram Mohan
    Asia Pacific Journal of Public Health.2015; 27(2): NP1785.     CrossRef
  • Musculoskeletal Symptoms and Its Related Factors among Male Workers in a Nonferrous Manufacturing Industry
    Yeon-Ok Jeong, Young-Chae Cho
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(8): 3552.     CrossRef
  • Prevalence of musculoskeletal disorders among farmers: A systematic review
    Aoife Osborne, Catherine Blake, Brona M. Fullen, David Meredith, James Phelan, John McNamara, Caitriona Cunningham
    American Journal of Industrial Medicine.2012; 55(2): 143.     CrossRef
  • Musculoskeletal Disorder Symptoms and Related Factors among Male Workers in Small-scale Manufacturing Industries
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    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(9): 4025.     CrossRef
A Survey on Physical Complaints Related with Farmers' Syndrome of Vinylhouse and Non-vinylhouse Farmers.
Ju Young Lee, Jung Han Park, Doohie Kim
Korean J Prev Med. 1994;27(2):258-273.
  • 2,134 View
  • 26 Download
AbstractAbstract PDF
To compare the physical complaints of vinylhouse farmers with those of non-vinylhouse farmers, a personal interviews on 250 and 142 vinylhouse farmers were conducted in Sungjoo county in Kyungpook province selected by a random sampling from July 5 to July 10, 1993. Blood pressure of the subjects was also measured. Vinylhouse farmers had a higher average age, larger family size, shorter experience of farming, more working hours per day and working days per year and higher annual income than non-vinylhouse farmers. The frequency of preticide spray of the vinylhouse farmer was 3.4times on the average in June 1993 as compared with 2.0 times of non-vinylhouse farmers, and 16.7 times for the vinylhouse farmers during the last one year while it was 8.3 times for the non-vinylhouse farmers in the same period. While 39.6% of vinylhouse farmers experienced pesticide intoxication symptoms such as headache, nausea, vomiting, dizziness, itching, and skin irritation, etc. during the month of June, 25.4% of non-vinylhouse farmers experienced such symptoms. The most frequent symptoms among eight symptoms that constitute the farmers' syndrome were lumbago, numbness of hand or foot shoulder pain and dizziness regardless of sex and type of farming. Prevalence of the farmers' syndrome in male and female among vinylhouse farmers were 22.1%, 43.4%, respectively, and the prevalence in non-vinylhouse farmers was 23.2% for male and 50.7%for female. There was no statistically significant difference in the prevalence of farmers' syndrome between vinylhouse and non-vinylhouse farmers. However, The prevalence on female was about 2 times higher than that of male When the effects of other factors were adjusted by multiple logistic regression for farmers' syndrome, the prevalence in female was 3.0 times higher than that of male. The prevalence of farmers' syndrome was increased as the age of farmers increased on both vinylhouse and non-vinylhouse farmers, and adjusted odds ratio of farmers' syndrome increased by 3% as the age increased by 1 year Adjusted odds ratio of Farmers' syndrome in farmers who experienced pesticide intoxication during the month of June was 3.7times higher than that of farmers who did not have such experience. While the prevalence of hypertension in male and female non-vinylhouse farmers were 22.4%, 13.7%, respectively, the prevalence in vinylhouse farmers were 13.5% for male and 12.0% for female. However, there was no association between farmers' syndrome and hypertension. It was found in this study that the vinylhouse farmers are at a high risk of pesticide intoxication, which is associated with the common physical complaints. To reduce such risk it is necessary to develop farming methods which do not require the pesticide of may use less pesticide, a safer method of pesticide spraying, and the protective equipments which can be worn at a high temperature and have a better protective effect. Also education of farmers for the correct methods of ventilation after pesticide spraying in the vinylhouse and wearing the protective equipments may be considered as a supportive method. Since inappropriate posture at work and intensive labor may cause farmers' syndrome, it is recommended to develop farming tools which reduce physical burden and take a rest and exercise periodically during work. It is necessary to strengthen the hypertension management program of the Kyungpook province, because the prevalence of hypertension was as high as about 15%.
Summary
The epidemiologic study of farmers' syndrome in Chonnam province.
Gang Moon, Jin Su Choi, Seok Joon Sohn, Byong Woo Kim
Korean J Prev Med. 1993;26(3):321-331.
  • 1,715 View
  • 19 Download
AbstractAbstract PDF
This survey was conducted to investigate Farmers' Syndrome and its related factors in Chonnam province. 5,920(men 6,148, women 6,722) persons in urban area and 12,870(men 6148, women 6,722) persons in rural area were selected in stratified cluster sampling manner, and interviewed individually with structured questionnaire in April, 1992. The results were summarized as follows: 1. In rural area of Chonnam province, the prevalence of Farmers' syndrome positive was 283 per 1,000 persons(203 in male, 355 in female). In urban area of Chonnam province, control area, the prevalence of Farmers' syndrome positive was 113(72 in male, 145 in female). The prevalence of Farmers' syndrome positive in rural area was 2.5 times higher that of urban area, and the prevalence in female was 1.7 times higher than that of male. The prevalence in total respondents was 256. 2. In rural area of Chonnam province, the age standardized prevalence of Farmers' syndrome positive was 209 per 1,000 persons(140 in male, 267 in female). In urban area of Chonnam province, control area, the age standardized prevalence of Farmers' syndrome positive was 122(79 in male, 158 in female). The age standardized prevalence in total respondents was 194. 3. The associated factors with Farmers' syndrome in univariate analysis were having illness during recent 15 days ,age, sex, occupation, area, monthly income, education, medical security status, family size and duration of farming. 4. When applying multiple logistic regression for Farmers' syndrome, the significant variables were having illness during recent 15 days, area, sex, age, education, medical security status, family size and duration of farming.
Summary

JPMPH : Journal of Preventive Medicine and Public Health