PMID- 31538138
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220410
IS  - 2474-7882 (Electronic)
IS  - 2474-7882 (Linking)
VI  - 3
IP  - 4
DP  - 2019 Aug
TI  - Air pollution-associated changes in biomarkers of diabetes risk.
PG  - e059
LID - 10.1097/EE9.0000000000000059 [doi]
LID - e059
AB  - BACKGROUND: Ambient particulate matter (PM) and nitrogen oxide (NO(x)) air 
      pollution may be diabetogenic. OBJECTIVE: To examine longitudinal associations of 
      short- and longer-term mean PM </=10 mum (PM(10)), PM </=2.5 mum (PM(2.5)), and NO(x) 
      concentrations with five biomarkers of diabetes risk. METHODS: We studied a 
      stratified, random minority oversample of nondiabetic Women's Health Initiative 
      clinical trials participants with biomarkers and geocoded participant 
      address-specific mean air pollution concentrations available at repeated visits 
      (years = 1993-2004; n = 3,915; mean age = 62.7 years; 84% white). We 
      log-transformed the biomarkers, then used multi-level, mixed-effects, 
      longitudinal models weighted for sampling design/attrition and adjusted for 
      sociodemographic, clinical, and meteorological covariates to estimate their 
      associations with air pollutants. RESULTS: Biomarkers exhibited null to 
      suggestively negative associations with short- and longer-term PM(10) and NO(x) 
      concentrations, e.g., -3.1% (-6.1%, 0.1%), lower homeostatic model assessment of 
      insulin resistance per 10 mug/m(3) increase in 12-month PM(10). A statistically 
      significant interaction by impaired fasting glucose (IFG) at baseline in this 
      analysis indicated potentially adverse effects only among women with versus 
      without IFG, i.e., 1.4% (-3.5%, 6.5%) versus -4.6% (-7.9%, -1.1%), P 
      (interaction) < 0.05. In contrast, longer-term PM(2.5) concentrations were 
      largely but not statistically significantly associated with higher biomarkers. 
      CONCLUSIONS: Low-level short-term PM(10) and NO(x) concentrations may have 
      negligible adverse effects on biomarkers of diabetes risk. Although longer-term 
      mean PM(2.5) concentrations showed primarily null associations with these 
      biomarkers, results suggestively indicated that PM(2.5) exposure over the range 
      of concentrations experienced in the United States may adversely affect 
      biomarkers of diabetes risk at the population level, as may longer-term mean 
      PM(10) concentrations among women with IFG.
FAU - Holliday, Katelyn M
AU  - Holliday KM
AD  - Department of Family Medicine and Community Health, Duke University, Durham, 
      North Carolina.
FAU - Lamichhane, Archana P
AU  - Lamichhane AP
AD  - Department of Nutrition, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
FAU - Gondalia, Rahul
AU  - Gondalia R
AD  - Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
FAU - Stewart, James D
AU  - Stewart JD
AD  - Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
FAU - Madrigano, Jaime
AU  - Madrigano J
AD  - RAND Corporation, Washington D.C.
FAU - Shih, Regina A
AU  - Shih RA
AD  - RAND Corporation, Washington D.C.
FAU - Yanosky, Jeff D
AU  - Yanosky JD
AD  - Department of Public Health Sciences, Penn State University, Hershey, 
      Pennsylvania.
FAU - Liao, Duanping
AU  - Liao D
AD  - Department of Public Health Sciences, Penn State University, Hershey, 
      Pennsylvania.
FAU - Wellenius, Gregory A
AU  - Wellenius GA
AD  - Department of Epidemiology, Brown University, Providence, Rhode Island.
FAU - Whitsel, Eric A
AU  - Whitsel EA
AD  - Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel 
      Hill, North Carolina.
AD  - Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, 
      North Carolina.
LA  - eng
GR  - HHSN268201600002C/HL/NHLBI NIH HHS/United States
GR  - HHSN268201600018C/HL/NHLBI NIH HHS/United States
GR  - R01 ES020871/ES/NIEHS NIH HHS/United States
GR  - HHSN268201600003C/HL/NHLBI NIH HHS/United States
GR  - HHSN268201600004C/HL/NHLBI NIH HHS/United States
GR  - HHSN268201600001C/HL/NHLBI NIH HHS/United States
GR  - T32 HL007055/HL/NHLBI NIH HHS/United States
GR  - T32 ES007018/ES/NIEHS NIH HHS/United States
GR  - R01 ES017794/ES/NIEHS NIH HHS/United States
PT  - Journal Article
DEP - 20190813
PL  - United States
TA  - Environ Epidemiol
JT  - Environmental epidemiology (Philadelphia, Pa.)
JID - 101719527
PMC - PMC6693934
COIS- The authors declare that they have no conflicts of interest with regard to the 
      content of this report.
EDAT- 2019/09/21 06:00
MHDA- 2019/09/21 06:01
PMCR- 2019/07/17
CRDT- 2019/09/21 06:00
PHST- 2019/03/12 00:00 [received]
PHST- 2019/06/24 00:00 [accepted]
PHST- 2019/09/21 06:00 [entrez]
PHST- 2019/09/21 06:00 [pubmed]
PHST- 2019/09/21 06:01 [medline]
PHST- 2019/07/17 00:00 [pmc-release]
AID - 10.1097/EE9.0000000000000059 [doi]
PST - epublish
SO  - Environ Epidemiol. 2019 Aug 13;3(4):e059. doi: 10.1097/EE9.0000000000000059. 
      eCollection 2019 Aug.