CHEN Minmin, WANG Chun, XU Biyun, DENG Xiaolan, JIANG Min. Analysis of metabolism-related diseases in people of five industries with physical examinations in Nanjing City of Jiangsu Province[J]. Journal of Clinical Medicine in Practice, 2020, 24(8): 97-100. DOI: 10.7619/jcmp.202008026
Citation: CHEN Minmin, WANG Chun, XU Biyun, DENG Xiaolan, JIANG Min. Analysis of metabolism-related diseases in people of five industries with physical examinations in Nanjing City of Jiangsu Province[J]. Journal of Clinical Medicine in Practice, 2020, 24(8): 97-100. DOI: 10.7619/jcmp.202008026

Analysis of metabolism-related diseases in people of five industries with physical examinations in Nanjing City of Jiangsu Province

  • Objective To analyze the detection rates of hypertension, hyperlipidemia, hyperuricemia and hyperglycemia in five industries in Nanjing City in nine years and changes in trend. Methods Based on the physical examination database of Nanjing City of Jiangsu Province, the data related to blood pressure, blood glucose, blood lipid and uric acid from 2008 to 2016 in the physical examination data in public security system, education system, medical and health system, government department and public insititutions in Nanjing City of Jiangsu Province were screened for retrospective analysis. Results A total of 206 293 people were included in the physical examination, including 136 732 men(66.28%), and 69 561 women(33.72%). The top four abnormal detection rates of metabolic related diseases in men and women showed a difference in order. High blood fat, high blood pressure and high uric acid were mainly concentrated in the population group aged <40 years and ≥65 years; hyperglycemia was mainly concentrated in group aged ≥50 years. The abnormal detection rates of hyperlipidemia, hypertension, hyperglycemia and hyperuricemia in the public security system were significantly higher than those in other four industries(P<0.01). Conclusion The detection rates of hyperlipidemia, hypertension, hyperglycemia and hyperuricemia are different in different genders, ages and industries. Therefore, we should adjust the direction of medical resources and services, and optimize the physical examination program according to features of gender, age and industries.
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