Cardiovascular

Environmental and ethnic differences in short-term risk of first acute myocardial infarction: a prospective multiethnic cohort protocol.

TL;DR

This paper describes a protocol for a multicentre prospective cohort study designed to examine environmental and ethnic differences in short-term risk of first acute myocardial infarction using repeated measurements and time-varying variables across Han, Hui, Tibetan, and Kazakh populations in Gansu Province, China.

Key Findings

The study will recruit 2,340 adults aged 20-85 years with an estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk of ≥20%.

  • Participants will be enrolled from five hospitals in Gansu Province, China.
  • The age range spans 20-85 years.
  • Eligibility requires an estimated 10-year ASCVD risk ≥20%.
  • The study targets a high-risk population to capture incident AMI events within the follow-up window.

The study will include four distinct ethnic populations representing variation in ethnicity, altitude, and healthcare access.

  • Ethnic groups included are Han, Hui, Tibetan, and Kazakh populations.
  • Recruitment sites were selected to represent variation in altitude and healthcare accessibility.
  • Five hospitals across Gansu Province serve as recruitment centers.
  • This multiethnic design allows comparison of AMI risk across populations with differing genetic backgrounds and environmental exposures.

Participants will be followed every 3 months for a total of 24 months with repeated measurements of behavioral, physiological, and biomarker indicators.

  • Follow-up intervals are set at 3 months throughout the 24-month study period, yielding up to 8 repeated measurement occasions per participant.
  • Repeated measures include behavioral, physiological, and biomarker indicators.
  • Wearable electrocardiographic monitoring is included as part of the repeated assessment protocol.
  • The frequent follow-up schedule is designed to capture short-term within-individual changes in risk indicators.

The primary outcome of the study is first incident acute myocardial infarction (AMI).

  • Only participants without a prior AMI at baseline are eligible, making this an incident AMI study.
  • Time-to-event models with time-varying variables will be used as the primary analytic approach.
  • The analytic framework is designed to examine how within-individual changes in risk indicators are associated with AMI across environmental and ethnic contexts.
  • Environmental exposures and healthcare accessibility will be assigned using geospatial data.

Baseline assessments will include standardized questionnaires, clinical evaluation, and cardiometabolic profiling alongside geospatially assigned environmental exposure data.

  • Baseline data collection includes standardized questionnaires, clinical evaluation, and cardiometabolic profiling.
  • Environmental exposures will be assigned to participants using geospatial data.
  • Healthcare accessibility will also be characterized using geospatial methods.
  • This combination of individual-level and area-level data enables examination of contextual influences on AMI risk.

The study protocol has received ethics approval and is registered as a clinical trial.

  • The study has been approved by the Ethics Committee of Gansu Provincial Hospital.
  • Written informed consent will be obtained from all participants.
  • The trial is registered under ChiCTR2500104518.
  • Findings will be disseminated through peer-reviewed publications and scientific presentations.

Current risk assessment approaches based on baseline measurements are identified as insufficient for capturing short-term AMI risk or population heterogeneity.

  • The authors note that 'current risk assessment approaches based on baseline measurements may not adequately capture short-term risk or population heterogeneity.'
  • AMI risk varies substantially across populations shaped by 'environmental conditions, geographic context, and healthcare accessibility.'
  • The study's repeated-measures design with time-varying covariates is proposed as a methodological improvement over cross-sectional baseline approaches.
  • AMI 'remains a leading cause of mortality worldwide' with substantial population-level variation.

What This Means

This paper describes the design of a large research study — not its results — that aims to better understand who is at short-term risk of having a first heart attack and how environmental surroundings and ethnic background influence that risk. The study will follow 2,340 high-risk adults from four different ethnic groups (Han, Hui, Tibetan, and Kazakh) in Gansu Province, China, checking in with them every three months for two years. Each check-in will collect information about lifestyle behaviors, physical measurements, blood biomarkers, and heart rhythm data from wearable devices, while geographic data will be used to account for differences in environmental exposures and access to healthcare across participants' home locations. This research suggests that standard approaches to predicting heart attack risk — which typically rely on a single snapshot of a person's health at one point in time — may miss important changes that happen over shorter periods or differ across population groups. By repeatedly measuring the same individuals over time and using statistical methods that account for those changes, the researchers hope to identify which fluctuations in health indicators most strongly predict a heart attack in the near term. The inclusion of multiple ethnic groups living at different altitudes and with different levels of healthcare access is intended to reveal whether and how these contextual factors shape cardiovascular risk beyond what individual-level health data alone can explain. The practical implications of this work, if the study achieves its goals, could include more dynamic and personalized tools for identifying people at imminent risk of a first heart attack, particularly among underrepresented ethnic minority populations in China. The study could also highlight the role of environmental and geographic factors — such as high-altitude living or limited healthcare proximity — in shaping cardiovascular health, potentially informing public health policies targeted at reducing disparities in heart disease outcomes.

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Citation

Wang B, Zhang Z, Lu W, Wang G, Chen K, Gu W, et al.. (2026). Environmental and ethnic differences in short-term risk of first acute myocardial infarction: a prospective multiethnic cohort protocol.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1848166