Evidence map›Paper›PMID 32678323›Full record

ArticleInternational journal of obesity (2005)2020

Cross-sectional associations between central and general adiposity with albuminuria: observations from 400,000 people in UK Biobank.

Pengfei Zhu, Sarah Lewington, Richard Haynes, Jonathan Emberson, Martin J Landray, David Cherney, Mark Woodward, Colin Baigent, William G Herrington, Natalie Staplin

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Albuminuria: the missing therapeutic target in obesity care.International journal of obesity (2005) · 2026
    Review
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Can screening for albuminuria detect type 2 diabetes mellitus?Kidney research and clinical practice · 2025
    Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Management of obesity across women's life course: FIGO Best Practice Advice.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Article
  17. Article
  18. Article
  19. Article
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

10 authors at 4 institutions in 3 countries.

Pengfei ZhuNuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Sarah LewingtonClinical Trial Service Unit and Epidemiological Studies Unit, NDPH, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4496-4771
Richard HaynesNuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Jonathan EmbersonNuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Martin J LandrayNuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
David CherneyDivision of Nephrology, Department of Medicine, Toronto General Hospital, University of Toronto, Toronto, ON, Canada.
Mark WoodwardThe George Institute for Global Health, University of Sydney, Sydney, NSW, Australia.
Colin BaigentNuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
William G Herrington *Nuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK. will.herrington@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0003-1172-8243
Natalie Staplin *Nuffield Department of Population Health (NDPH), Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
University of Oxford · GBChurchill Hospital · GBThe University of Sydney · AUUniversity of Toronto · CA

Funding

British Heart Foundation CH/1996001/9454Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_U137686857Medical Research Council MC_UU_00017/3Medical Research Council MC_UU_12026/3Medical Research Council MR/R007764/1
6 · The paper itself

Abstract

backgroundWhether measures of central adiposity are more or less strongly associated with risk of albuminuria than body mass index (BMI), and by how much diabetes/levels of glycosylated haemoglobin (HbA1c) explain or modify these associations, is uncertain.

methodsOrdinal logistic regression was used to estimate associations between values of central adiposity (waist-to-hip ratio) and, separately, general adiposity (BMI) with categories of urinary albumin-to-creatinine ratio (uACR) in 408,527 UK Biobank participants. Separate central and general adiposity-based models were initially adjusted for potential confounders and measurement error, then sequentially, models were mutually adjusted (e.g. waist-to-hip ratio adjusted for BMI, and vice versa), and finally they were adjusted for potential mediators.

resultsLevels of albuminuria were generally low: 20,425 (5%) had a uACR ≥3 mg/mmol. After adjustment for confounders and measurement error, each 0.06 higher waist-to-hip ratio was associated with a 55% (95%CI 53-57%) increase in the odds of being in a higher uACR category. After adjustment for baseline BMI, this association was reduced to 32% (30-34%). Each 5 kg/m

conclusionsConventional epidemiological approaches suggest that higher waist-to-hip ratio and BMI are independently positively associated with albuminuria. Adiposity-albuminuria associations appear strong among people with normal HbA1c, as well as people with pre-diabetes or diabetes.

Indexed as

AdiposityBody Mass IndexWaist-Hip RatioAlbuminuriaBiological Specimen BanksBlood PressureCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMiddle AgedObesity, AbdominalProspective StudiesUnited KingdomGlycated Hemoglobin

Identifiers

PMID32678323
PMCPMC7577847
OpenAlexW3043072216

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.