Short-term exposure to PM2.5 and its components and type 2 diabetes-related hospital admissions, length of stay, and hospital costs in Shanghai.

The short-term influence of particles with an aerodynamic diameter ≤2.5 μm (PM2.5) and its individual elements on hospital costs, the length of hospital stay (LOS), and hospital admissions caused by type 2 diabetes remains unclear. A generalized additive model (GAM) with quasi-Poisson distribution w...

Descripción completa

Detalles Bibliográficos
Publicado en:International Journal of Environmental Health Research Vol. 35; no. 9; pp. 2492 - 2506
Autores principales: Liang, Hongyu, Zhou, Wenyong, Wen, Zexuan, Wei, Jing, Wang, Weibing, Li, Jun
Formato: equations & formulas research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Sep2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188762893&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 188762893
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09603123
        57L
      jtl: International Journal of Environmental Health Research
      issn: 09603123
      maglogo: Y
    pubinfo:
      dt: Sep2025
      vid: 35
      iid: 9
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        188762893
        183881190
        188762893
        188762893
        10.1080/09603123.2025.2477582
        188762893
      ppf: 2492
      ppct: 14
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Short-term exposure to PM2.5 and its components and type 2 diabetes-related hospital admissions, length of stay, and hospital costs in Shanghai.
      aug:
        au:
          Liang, Hongyu
          Zhou, Wenyong
          Wen, Zexuan
          Wei, Jing
          Wang, Weibing
          Li, Jun
        affil: Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
      sug:
        subj:
          Environmental Exposure Adverse Effects
          Particulate Matter Adverse Effects
          Diabetes Mellitus, Type 2
          Patient Admission China
          Length of Stay China
          Health Facility Costs China
          Risk Assessment
          China
          Human
          Funding Source
          Environmental Health
          Descriptive Statistics
          Confidence Intervals
          Factor Analysis
          Time Series
          Diabetic Patients
          Data Analysis Software
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Male
          Female
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: The short-term influence of particles with an aerodynamic diameter ≤2.5 μm (PM2.5) and its individual elements on hospital costs, the length of hospital stay (LOS), and hospital admissions caused by type 2 diabetes remains unclear. A generalized additive model (GAM) with quasi-Poisson distribution was utilized to assess the association of individual pollutants and mixtures. For every 10 μg/m3 rise in PM2.5 and a per-SD increase in NH4+at lag0, hospital admissions increased by 0.93% (95% CI: 0.68, 1.19) and 2.81% (95% CI: 2.20, 3.42); hospital costs rose by 24.58 thousands of CNY (95% CI: 5.95, 43.22) and 77.06 thousands of CNY (95% CI: 33.07, 121.04); LOS increased by 9.53 days (95% CI: 0.44, 18.62) and 27.80 days (95% CI: 6.34, 49.27), respectively. Factor analysis showed that mixed-source particulate pollution was significantly associated with an increase in hospital admissions (0.27%, 95% CI: (0.20, 0.34)), LOS (2.87 days, 95% CI: (0.35, 5.40)), and hospital costs (71.68 thousands of CNY, 95% CI: (19.89,123.46)). These findings suggested that short-term exposure to elevated levels of PM2.5 as well as its components increased the risk of hospital costs, LOS, and hospital admissions due to type 2 diabetes.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N