Acute Effects of Meteorological Factors and Air Pollution on Cardiovascular Health

The goal of this observational study is to analyze the acute effects of meteorological factors and air pollution on cardiovascular system. The main question it aims to answer is:

  1. How do meteorological factors and air pollution affect cardiovascular system?
  2. What is the interaction between meteorological factors and air pollution on cardiovascular system?

Participants will:

  1. Provide their health data obtained in physical examination, including but not limited to blood pressure, blood routine, urine routine and B-ultrasound.
  2. agree that the research team will use their personal identification number, gender, age, education level and other information for statistical analysis of the data.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

The collected data include: ID number (or unique identification code similar to ID number), physical examination date, work unit, occupation, gender, age, systolic blood pressure, diastolic blood pressure, height, weight, blood routine, urine routine and blood biochemical examination results,Color Doppler (or B-ultrasound) examination results (thyroid color Doppler, abdominal color Doppler, urinary color Doppler, cardiac color Doppler, cervical vascular color Doppler, etc.), electrocardiogram, cardiac CTA, carbon 13 breath test, and written diagnosis results of liver fibrosis.

Study Type

Observational

Enrollment (Estimated)

350000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Zhejiang
      • Hanzhou, Zhejiang, China, 310000
        • Recruiting
        • MingWei Wang
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

  1. Target population: adults who have been recorded at least three times in the physical examination database will be included in this study. This requirement aims to ensure that the participants' health status can be fully evaluated historically, and then to study the changes of various health indicators over time.
  2. Sample source and recruitment: Participants will be selected from the routine physical examination database of several hospital physical examination centers in Zhejiang, Henan, Anhui, Guizhou and other provinces.

Description

Inclusion Criteria:

·Relevant records in the physical examination database shall be ≥3 times

·≥18 years old

Exclusion Criteria:

  • Relevant records in the physical examination database shall be ≥3times
  • Serious heart and lung diseases
  • Malignant tumors
  • Serious mental illness in the past

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
High Temperature Group
Participants experiencing temperatures above the 90th percentile for the region, as recorded during the summer months. Temperature data are sourced from local meteorological statio
This retrospective cohort study involves no new interventions. It analyzes existing health data collected from subjects exposed to varying atmospheric conditions to assess impacts on health outcomes.
Low Temperature Group
Includes participants from areas where winter temperatures are below the 10th percentile, based on historical weather data from local meteorological observations
This retrospective cohort study involves no new interventions. It analyzes existing health data collected from subjects exposed to varying atmospheric conditions to assess impacts on health outcomes.
High Pollution Group
Participants in this group are those exposed to high levels of air pollutants
This retrospective cohort study involves no new interventions. It analyzes existing health data collected from subjects exposed to varying atmospheric conditions to assess impacts on health outcomes.
Low Pollution Group
This cohort consists of individuals living in areas with air pollutant levels consistently below the national air quality standards
This retrospective cohort study involves no new interventions. It analyzes existing health data collected from subjects exposed to varying atmospheric conditions to assess impacts on health outcomes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Troponin
Time Frame: The troponin data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Troponin data were obtained by blood biochemical detection data recorded in the diagnosis and treatment system, with unit of µg/L.
The troponin data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Blood pressure
Time Frame: The blood pressure data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Blood pressure data were obtained from the diagnosis and treatment record system and analyzed by standard sphygmomanometer, with unit of mmHg.
The blood pressure data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Left ventricular ejection fraction(LVEF)
Time Frame: The left ventricular ejection fraction(LVEF)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Left ventricular ejection fraction(LVEF)data were obtained by Cardiac color ultrasound data recorded in the diagnosis and treatment system, with unit of %
The left ventricular ejection fraction(LVEF)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
White cell count
Time Frame: The white cell count data were tested at baseline 3 months before exposure to meteorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
White cell count data were obtained by blood routine blood data recorded in the diagnosis and treatment system, with unit of 10^9/L
The white cell count data were tested at baseline 3 months before exposure to meteorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Controlled Attenuation Parameter(CAP)
Time Frame: The Controlled Attenuation Parameter(CAP)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Controlled Attenuation Parameter(CAP)data were obtained by Diagnosis of hepatic fibrosis data recorded in the diagnosis and treatment system, with unit of dB/m.
The Controlled Attenuation Parameter(CAP)data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
ST segment of electrocardiogram
Time Frame: The ST segment of electrocardiogram were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
ST segment were obtained by Electrocardiogram (ECG) recorded in the diagnosis and treatment system with unit of mV.
The ST segment of electrocardiogram were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Degree of coronary artery stenosis
Time Frame: The degree of coronary artery stenosis data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Degree of coronary artery stenosis data were obtained by Coronary CTA data recorded in the diagnosis and treatment system, with unit of µg/L
The degree of coronary artery stenosis data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Weight
Time Frame: The weight data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Weight data were obtained from the diagnosis and treatment record system and recorded by standard measuring tools, with unit of kg
The weight data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Height
Time Frame: The height data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Height data were obtained from the diagnosis and treatment record system and recorded by standard measuring tools, with unit of cm
The height data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Urinary glucose
Time Frame: The urinary glucose data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.
Urinary glucose data were obtained by Urine routine data recorded in the diagnosis and treatment system, with unit of mmol/L.
The urinary glucose data were tested at baseline 3 months before exposure tometeorological factors or air pollution, and followed up for 1 year and 2 years after exposure.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 1, 2024

Primary Completion (Estimated)

May 1, 2027

Study Completion (Estimated)

May 1, 2028

Study Registration Dates

First Submitted

May 12, 2024

First Submitted That Met QC Criteria

October 26, 2024

First Posted (Actual)

October 29, 2024

Study Record Updates

Last Update Posted (Actual)

October 29, 2024

Last Update Submitted That Met QC Criteria

October 26, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • AH-2023-005

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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