Evidence map›Paper›PMID 25460670›Full record

ArticleEnvironmental research2015

Urine osmolality in the US population: implications for environmental biomonitoring.

Hung-Chieh Yeh, Yu-Sheng Lin, Chin-Chi Kuo, Darcy Weidemann, Virginia Weaver, Jeffrey Fadrowski, Alicia Neu, Ana Navas-Acien

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  8. Hyperosmolality activates polycystin-2 and TRPM4 in renal primary cilium.Pflugers Archiv : European journal of physiology · 2025
    Article
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  11. Characterization of multiple pesticide exposure in pregnant women in Brittany, France.Journal of exposure science & environmental epidemiology · 2024
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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 3 institutions in 2 countries.

Hung-Chieh YehKidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan.
Yu-Sheng LinDepartment of Environmental and Occupational Health, University of North Texas Health Science Center, Fort Worth, TX, USA.
Chin-Chi KuoKidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Darcy WeidemannDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Division of Nephrology, Department of Pediatrics, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Virginia WeaverDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Jeffrey FadrowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Division of Nephrology, Department of Pediatrics, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Alicia NeuDivision of Nephrology, Department of Pediatrics, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Ana Navas-AcienDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Johns Hopkins University · USChina Medical University · TWUniversity of North Texas · US

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI AHIMA, REXFORD S. · 2013 to 2017
$9.7M
Beta-cell ProliferationR01DK081472 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HUSSAIN, MEHBOOB A, WONDISFORD, FREDRIC E. · 2009 to 2013
$2.1M
NIDDK NIH HHS P30 DK079637NIDDK NIH HHS R01 DK081472
6 · The paper itself

Abstract

backgroundFor many environmental chemicals, concentrations in spot urine samples are considered valid surrogates of exposure and internal dose. To correct for urine dilution, spot urine concentrations are commonly adjusted for urinary creatinine. There are, however, several concerns about the use of urine creatinine. While urine osmolality is an attractive alternative; its characteristics and determinants in the general population remain unknown. Our objective was to describe the determinants of urine osmolality and to contrast the difference between osmolality and creatinine in urine.

methodsFrom the National Health and Nutrition Examination Survey (NHANES) (2009-2010), 10,769 participants aged 16 years or older with measured urine osmolality and creatinine were used in the analysis. Very dilute and very concentrated urine was defined as urine creatinine lower than 0.3g/l and higher than 3g/l, respectively. Linear and logistic regression analyses were performed to investigate the associations of interest.

resultsUrine osmolality and creatinine were highly correlated (Pearson correlation coefficient=0.75) and their respective median values were 648 mOsm/kg and 1.07 g/l. The prevalence of very dilute and very concentrated urine samples was 8.1% and 3.1%, respectively. Factors associated in the same direction with both urine osmolality and urine creatinine included age, sex, race, body mass index (BMI), hypertension, water intake, and blood osmolality. The magnitude of associations expressed as percent change was significantly stronger with creatinine than osmolality. Compared to urine creatinine, urine osmolality did not vary by diabetes status but was affected by daily total protein intake. Participants with chronic kidney disease (CKD) had significantly higher urine creatinine concentrations but lower urine osmolality. Both very dilute and concentrated urine were associated with a diverse array of sociodemographic, medical conditions, and dietary factors. For instance, females were approximately 3.3 times more likely to have urine over-dilution than male [the adjusted odds ratios (95% CI)=3.27 (2.10-5.10)].

conclusionAlthough the determinants of urine osmolality were generally similar to those of urine creatinine, the relative influence of socio-demographic and medical conditions was less on urine osmolality than on urine creatinine. Protocols for spot urine sample collection could recommend avoiding excessive and insufficient water intake before urine sampling to improve urine adequacy. The feasibility of adopting urine osmolality adjustment and water intake recommendations before providing spot urine samples for environmental biomonitoring merits further investigation.

Indexed as

Environmental ExposureEnvironmental MonitoringUrineFemaleHumansMaleNutrition SurveysOsmolar ConcentrationUnited StatesBiomonitoringUrine adequacyUrine creatinineUrine dilutionUrine osmolality

Identifiers

PMID25460670
PMCPMC5794013
OpenAlexW1989953762

What OpenQuestion holds

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Registered trials

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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.