Literature DB >> 28342346

Can wastewater-based epidemiology be used to evaluate the health impact of temperature? - An exploratory study in an Australian population.

Dung Phung1, Jochen Mueller2, Foon Yin Lai2, Jake O'Brien2, Nhung Dang3, Lidia Morawska4, Phong K Thai5.   

Abstract

Ambient temperature is known to have impact on population health but assessing its impact by the traditional cohort approach is resource intensive. Wastewater-based epidemiology (WBE) could be an alternative for the traditional approach. This study was to provide the first evaluation to see if WBE can be used to assess the impact of temperature exposure to a population in South East Queensland, Australia using selected pharmaceuticals and personal care products (PPCPs) as biomarkers. Daily loads of eight PPCPs in wastewater collected from a wastewater treatment plant were measured from February 2011 to June 2012. Corresponding daily weather data were obtained from the closest weather station. Missing data of PPCPs were handled using the multiple imputation (MI) method, then we used a one-way between-groups analysis of variance to examine the seasonal effect on daily variation of PPCPs by seasons. Finally, an MI estimate was performed to evaluate the continuous relationship between daily average temperature and each multiply-imputed PPCP using time-series regression analysis. The results indicated that an increase of 1°C in average temperature associated with decrease at 1.3g/d (95% CI: -2.2 to (-0.4), p<0.05) for atenolol, increase at 36.5g/d (95% CI: 25.2-47.8, p<0.01) for acesulfame, and increase at 0.8g/d (95% CI: 0.02-1.55, p=0.05) for naproxen. No significant association was observed between temperature and the remaining PPCPs, comprising: caffeine, carbamazepine, codeine, hydrochlorothiazide, and salicylic acid. The findings suggested that consumption of sweetened drinks, risk of worsening cardiovascular conditions and pains are associated with variation in ambient temperature. WBE can thus be used as a complementary method to traditional cohort studies in epidemiological evaluation of the association between environmental factors and health outcomes provided that specific biomarkers of such health outcomes can be identified.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ambient temperature; Atenolol; Cardiovascular diseases; Sweetened drinks; Wastewater analysis

Mesh:

Substances:

Year:  2017        PMID: 28342346     DOI: 10.1016/j.envres.2017.03.023

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  5 in total

1.  Human exposure of bisphenol A and its analogues: understandings from human urinary excretion data and wastewater-based epidemiology.

Authors:  Hao Wang; Ze-Hua Liu; Jun Zhang; Ri-Ping Huang; Hua Yin; Zhi Dang
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-14       Impact factor: 4.223

2.  Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).

Authors:  Christian G Daughton
Journal:  Sci Total Environ       Date:  2017-11-29       Impact factor: 7.963

3.  Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites.

Authors:  Ethan D Evans; Chengzhen Dai; Siavash Isazadeh; Shinkyu Park; Carlo Ratti; Eric J Alm
Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

4.  Social, demographic, and economic correlates of food and chemical consumption measured by wastewater-based epidemiology.

Authors:  Phil M Choi; Benjamin Tscharke; Saer Samanipour; Wayne D Hall; Coral E Gartner; Jochen F Mueller; Kevin V Thomas; Jake W O'Brien
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-07       Impact factor: 11.205

5.  A multi-residue method by supercritical fluid chromatography coupled with tandem mass spectrometry method for the analysis of chiral and non-chiral chemicals of emerging concern in environmental samples.

Authors:  Jack Rice; Anneke Lubben; Barbara Kasprzyk-Hordern
Journal:  Anal Bioanal Chem       Date:  2020-07-09       Impact factor: 4.142

  5 in total

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