{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T17:52:24Z","timestamp":1773683544962,"version":"3.50.1"},"reference-count":21,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To explore the incidence density and risk of hypertension among employees in different workshops of a coking plant.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>The research subjects were employees of a coking plant in western Inner Mongolia. Based on inclusion and exclusion criteria, we studied 448 employees hired between 2011 and 2023. Of these, 285 were front-line workers exposed to occupational hazards, while 163 were second-line workers with lesser or no exposure. We collected data on the general demographic characteristics, systolic blood pressure, diastolic blood pressure, and other information of the research subjects, calculated the incidence density of hypertension, and used the Cox proportional hazards regression model to analyze the association between exposure to occupational risk factors and the risk of hypertension.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      During the observation period, we identified 229 cases of hypertension, with an incidence density of 11,187.10 per 100,000 person-years. The average age of the patients was 42.33\u202f\u00b1\u202f8.24\u202fyears, and the average working duration was 3.57\u202f\u00b1\u202f2.84\u202fyears. The number of new cases in logistics, coal preparation, chemical production, and coking workshops were 53, 45, 47, and 84, respectively, with incidence densities of 7,019.83, 14,469.45, 12,737.13, and 13,725.49 per 100,000 person-years, respectively. The risk of hypertension in coal preparation, chemical production, and coking workshops was 4.061, 3.364, and 2.427 times higher than that in logistics workers, respectively. Cox regression analysis showed that, after controlling for gender, age, smoking, drinking, and other factors, the risk ranking of hypertension in each workshop was as follows: coking workshop (1.822)\u202f&amp;gt;\u202fchemical production workshop (1.752)\u202f&amp;gt;\u202fcoal preparation workshop (1.622). The log-rank test revealed that the differences in disease-free survival distribution among workers in different workshops were statistically significant (\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study shows that the incidence density of hypertension among employees in the chemical industry, coking, and coal preparation workshops after joining the company is significantly higher than that in the logistics group, and the risk of incidence is relatively higher (HR\u202f=\u202f1.622\u20131.822 after controlling for confounding factors). Long-term exposure of coking plant workers to related environments increases the risk of hypertension.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1762496","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T06:30:10Z","timestamp":1770100210000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The impact of occupational hazards in coking plants on the incidence of hypertension\u2014a longitudinal study"],"prefix":"10.3389","volume":"14","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment","place":["Guangzhou, China"]},{"name":"School of Public Health, Mudanjiang Medical University","place":["Mudanjiang, 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Health, China Medical University","place":["Shenyang, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingyu","family":"Peng","sequence":"additional","affiliation":[{"name":"Loudi Center for Disease Control and Prevention","place":["Loudi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongmei","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Public Health, Mudanjiang Medical University","place":["Mudanjiang, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment","place":["Guangzhou, 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