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Associations of environmental factors with total cholesterol level of middle-aged and elderly people in China.
Li, Hao; Ge, Miao; Pei, Zehua; He, Jinwei; Wang, Congxia.
Afiliação
  • Li H; Institute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, 620 West Chang'an Street, Chang'an District, Xi'an, 710119, China.
  • Ge M; Institute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, 620 West Chang'an Street, Chang'an District, Xi'an, 710119, China. gemiao544261@163.com.
  • Pei Z; Institute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, 620 West Chang'an Street, Chang'an District, Xi'an, 710119, China.
  • He J; Medical School, Yan'an University, 580 Shengdi Road, Yan'an, 716000, China.
  • Wang C; Department of Cardiology, the Second Affiliated Hospital of Medical College, Xi'an Jiaotong University, No. 157, Xiwu Road, Xi'an, 710004, China.
BMC Public Health ; 22(1): 2423, 2022 12 23.
Article em En | MEDLINE | ID: mdl-36564736
ABSTRACT

BACKGROUND:

Dyslipidemia is a key factor causing cardio cerebrovascular diseases, and the total cholesterol (TC) is an important lipid indicator among them. Studies have shown that environmental factors have a strong association with TC levels. Previous studies only focused on the seasonal variation of TC level and the short-term effects of some environmental factors on TC level over time, and few studies explored the geographical distribution of TC level and quantified the impact of environmental factors in space.

METHODS:

Based on blood test data which was from China Health and Retirement Longitudinal Study (Charls) database, this study selected the TC level test data of middle-aged and elderly people in China in 2011 and 2015, and collected data from 665 meteorological stations and 1496 air pollutant monitoring stations in China. After pretreatment, the spatial distribution map of TC level was prepared and the regional statistics were made. GeoDetector and geographically weighted regression (GWR) were used to measure the relationship between environmental factors and TC level.

RESULTS:

The TC level of middle-aged and elderly in China was higher in females than in males, and higher in urban areas than in rural areas, showing a clustered distribution. The high values were mainly in South China, Southwest China and North China. Temperature, humidity, PM10 and PM2.5 were significant environmental factors affecting TC level of middle-aged and elderly people. The impact of pollutants was more severe in northern China, and TC level in southern China was mainly affected by meteorological factors.

CONCLUSIONS:

There were gender and urban-rural differences in TC levels among the middle-aged and elderly population in China, showing aggregation in geographical distribution. Meteorological factors and air pollutants may be very important control factors, and their influencing mechanism needs further study.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Poluentes Ambientais Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Poluentes Ambientais Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Ano de publicação: 2022 Tipo de documento: Article