Occupational status and outcomes in acute myocardial infarction: a prospective cohort study

While Western studies often show an inverse association between occupational status and cardiovascular mortality, its impact on acute myocardial infarction (AMI) characteristics and prognosis in Eastern middle-income countries remains unclear. Using data from the multi-center prospective China Acute Myocardial Infarction (CAMI) registry from January 2013 to January 2016, 11,318 admission AMI patients aged 18–60 years were stratified by occupation: white-collar (22.1%), blue-collar (23.4%), farmers (44.3%), and unemployed (10.1%). White- and blue-collar workers comprised the “stable employment” group; farmers and unemployed comprised “unstable employment.” We compared risk factors, treatments, and clinical outcomes. Multivariable Cox regression assessed occupational impacts on in-hospital and 2-year post-discharge all-cause mortality, progressively adjusting for demographics, self-reported risk histories and clinically measured parameters, treatments and hospital level. Stable employment groups (particularly white-collar patients) had higher baseline cardiovascular risks but less severe clinical presentation and higher reperfusion rates than unstable groups. No significant in-hospital mortality differences were observed after full adjustment. At 2-year follow-up, white-collar patients initially demonstrated 50% lower post-discharge mortality versus unemployed after demographic adjustment (HR 0.487; 95% CI 0.257–0.924). This association weakened with adjustment for risk histories/clinical characteristics (HR 0.506; 95% CI 0.266–0.964) and became non-significant after including treatment/hospital-level factors (HR 0.519; 95% CI 0.271–1.021). Neither blue-collar workers (fully adjusted HR 0.848; 95% CI 0.474–1.516) nor farmers (fully adjusted HR 1.164; 95% CI 0.702–1.931) showed significant mortality differences versus unemployed. Critically, unstable employment independently predicted higher 2-year post-discharge mortality after full adjustment (HR 1.639; 95% CI 1.169–2.298). Stable employment (White- and Blue-collar) was associated with significantly higher cardiovascular risk factors but better long-term outcomes compared to farmers and the unemployed. This trend was particularly pronounced among White-collar workers.

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Journal
BMC Public Health
Published
2025-10-03
DOI
https://doi.org/10.1186/s12889-025-24564-5
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Occupational status and outcomes in acute myocardial infarction: a prospective cohort study

Yalin Zhu, Haiyan Xu, You‐Lin Qiao, Yuejin Yang et al.
BMC Public Health
Employment and Welfare Studies
article

Occupational status and outcomes in acute myocardial infarction: a prospective cohort study

Yalin Zhu, Haiyan Xu, You‐Lin Qiao, Yuejin Yang, Qiujing Cai, Wei Li, Jingang Yang, Shuhong Su, Xiaojin Gao, Jianyi Wang
article en

Abstract

While Western studies often show an inverse association between occupational status and cardiovascular mortality, its impact on acute myocardial infarction (AMI) characteristics and prognosis in Eastern middle-income countries remains unclear. Using data from the multi-center prospective China Acute Myocardial Infarction (CAMI) registry from January 2013 to January 2016, 11,318 admission AMI patients aged 18–60 years were stratified by occupation: white-collar (22.1%), blue-collar (23.4%), farmers (44.3%), and unemployed (10.1%). White- and blue-collar workers comprised the “stable employment” group; farmers and unemployed comprised “unstable employment.” We compared risk factors, treatments, and clinical outcomes. Multivariable Cox regression assessed occupational impacts on in-hospital and 2-year post-discharge all-cause mortality, progressively adjusting for demographics, self-reported risk histories and clinically measured parameters, treatments and hospital level. Stable employment groups (particularly white-collar patients) had higher baseline cardiovascular risks but less severe clinical presentation and higher reperfusion rates than unstable groups. No significant in-hospital mortality differences were observed after full adjustment. At 2-year follow-up, white-collar patients initially demonstrated 50% lower post-discharge mortality versus unemployed after demographic adjustment (HR 0.487; 95% CI 0.257–0.924). This association weakened with adjustment for risk histories/clinical characteristics (HR 0.506; 95% CI 0.266–0.964) and became non-significant after including treatment/hospital-level factors (HR 0.519; 95% CI 0.271–1.021). Neither blue-collar workers (fully adjusted HR 0.848; 95% CI 0.474–1.516) nor farmers (fully adjusted HR 1.164; 95% CI 0.702–1.931) showed significant mortality differences versus unemployed. Critically, unstable employment independently predicted higher 2-year post-discharge mortality after full adjustment (HR 1.639; 95% CI 1.169–2.298). Stable employment (White- and Blue-collar) was associated with significantly higher cardiovascular risk factors but better long-term outcomes compared to farmers and the unemployed. This trend was particularly pronounced among White-collar workers.

BMC Public HealthVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Xinxiang Central Hospital (CN), Fu Wai Hospital (CN)
Chinese Academy of Medical Sciences
Openalex Percentile: Top 57%
Employment and Welfare Studies
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