Evidence map›Paper›PMID 31591193›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

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

Phil M Choi, Benjamin Tscharke, Saer Samanipour, Wayne D Hall, Coral E Gartner, Jochen F Mueller, Kevin V Thomas, Jake W O'Brien

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 152 citations in OpenAlex.

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  9. Using Wastewater to Monitor Suggested Changes in Dietary Intake: A Participatory Experiment.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Phil M ChoiQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia; p.choi@uq.edu.au.ORCID 0000-0002-0535-8197
Benjamin TscharkeQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Saer SamanipourNorwegian Institute for Water Research, 0349 Oslo, Norway.
Wayne D HallCentre for Youth Substance Abuse Research, The University of Queensland, Herston, QLD 4029, Australia.
Coral E GartnerQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Jochen F MuellerQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Kevin V ThomasQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia.ORCID 0000-0002-2155-100X
Jake W O'BrienQueensland Alliance for Environmental Health Science, The University of Queensland, Woolloongabba, QLD 4102, Australia.
The University of Queensland · AUNorwegian Institute for Water Research · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater is a potential treasure trove of chemicals that reflects population behavior and health status. Wastewater-based epidemiology has been employed to determine population-scale consumption of chemicals, particularly illicit drugs, across different communities and over time. However, the sociodemographic or socioeconomic correlates of chemical consumption and exposure are unclear. This study explores the relationships between catchment specific sociodemographic parameters and biomarkers in wastewater generated by the respective catchments. Domestic wastewater influent samples taken during the 2016 Australian census week were analyzed for a range of diet, drug, pharmaceutical, and lifestyle biomarkers. We present both linear and rank-order (i.e., Pearson and Spearman) correlations between loads of 42 biomarkers and census-derived metrics, index of relative socioeconomic advantage and disadvantage (IRSAD), median age, and 40 socioeconomic index for area (SEIFA) descriptors. Biomarkers of caffeine, citrus, and dietary fiber consumption had strong positive correlations with IRSAD, while tramadol, atenolol, and pregabalin had strong negative correlation with IRSAD. As expected, atenolol and hydrochlorothiazide correlated positively with median age. We also found specific SEIFA descriptors such as occupation and educational attainment correlating with each biomarker. Our study demonstrates that wastewater-based epidemiology can be used to study sociodemographic influences and disparities in chemical consumption.

Indexed as

Wastewater-Based Epidemiological MonitoringAustraliaFood AnalysisHumansPharmaceutical PreparationsSocioeconomic FactorsWastewaterPharmaceutical PreparationsWastewaterdrugsfoodpublic healthsocioeconomicswastewater

Identifiers

PMID31591193
PMCPMC6815118
OpenAlexW2979957583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.