Related Experiment Video
Updated: Jun 4, 2026

Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes
Published on: March 22, 2022
Analysis on health information extracted from an urban professional population in Beijing
Tie-Mei Zhang1, Ling Zhu, Sen-Lin Luo
1Beijing Hospital, Beijing 100730, China. tmzhang126@126.com
Background:
The assembled data from a population could provide information on health trends within the population. The aim of this research was to extract and know basic health information from an urban professional population in Beijing.
Methods:
Data analysis was carried out in a population who underwent a routine medical check-up and aged > 20 years, including 30 058 individuals. General information, data from physical examinations and blood samples were collected in the same method. The health status was separated into three groups by the criteria generated in this study, i.e., people with common chronic diseases, people in a sub-clinic situation, and healthy people. The proportion of both common diseases suffered and health risk distribution of different age groups were also analyzed.
Results:
The proportion of people with common chronic diseases, in the sub-clinic group and in the healthy group was 28.6%, 67.8% and 3.6% respectively. There were significant differences in the health situation in different age groups. Hypertension was on the top of list of self-reported diseases. The proportion of chronic diseases increased significantly in people after 35 years of age. Meanwhile, the proportion of sub-clinic conditions was decreasing at the same rate. The complex risk factors to health in this population were metabolic disturbances (61.3%), risk for tumor (2.7%), abnormal results of morphological examination (8.2%) and abnormal results of lab tests of serum (27.8%).
Conclusions:
Health information could be extracted from a complex data set from the heath check-ups of the general population. The information should be applied to support prevention and control chronic diseases as well as for directing intervention for patients with risk factors for disease.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Statistical Software for Data Analysis and Clinical Trials
Overview of Biostatistics in Health Sciences
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Analysis of Population Pharmacokinetic Data
Introduction to Epidemiology