Evidence map›Paper›PMID 36011567›Full record

ArticleInternational journal of environmental research and public health2022

Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals.

Benjamin Kai Yi Nah, Cheng Han Ng, Kai En Chan, Caitlyn Tan, Manik Aggarwal, Rebecca Wenling Zeng, Jieling Xiao, Yip Han Chin, Eunice X X Tan, Yi Ping Ren and 8 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Editorial: The heart of NAFLD.Frontiers in medicine · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. 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

18 authors at 5 institutions in 2 countries.

Benjamin Kai Yi NahDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore.
Cheng Han NgMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.ORCID 0000-0002-8297-1569
Kai En ChanMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Caitlyn TanMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.ORCID 0000-0002-8091-9601
Manik AggarwalDepartment of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, USA.ORCID 0000-0002-6087-1700
Rebecca Wenling ZengMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Jieling XiaoMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Yip Han ChinMBBS Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Eunice X X TanDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore.
Yi Ping RenDepartment of Internal Medicine, National University Hospital, Singapore 119074, Singapore.
Douglas CheeDepartment of Internal Medicine, National University Hospital, Singapore 119074, Singapore.
Jonathan NeoDepartment of Internal Medicine, National University Hospital, Singapore 119074, Singapore.
Nicholas W S ChewDepartment of Cardiology, National University Heart Centre, National University Hospital, Singapore 119074, Singapore.ORCID 0000-0002-0640-0430
Michael TsengDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0003-2737-7273
Mohammad Shadab SiddiquiDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA.
Arun J SanyalDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23284, USA.
Yock Young DanDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore.
Mark MuthiahDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore.
National University of Singapore · SGNational University Hospital · SGVirginia Commonwealth University · USMayo Clinic in Arizona · USNational University Heart Centre Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the population level. Therefore, we sought to evaluate the relationship between weight classes and the prevalence of NAFLD. Methods: Data were used from the United States National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Univariate and multivariate general linear model analyses were used to obtain risk ratio (RR) estimations of NAFLD events. Results: In total, 34,486 individuals were analysed, with those who were lean at both time points as the control group. Overweight (RR: 14.73, 95%CI: 11.94 to 18.18, p < 0.01) or obese (RR: 31.51, 95%CI: 25.30 to 39.25, p < 0.01) individuals at both timepoints were more likely to develop NAFLD. Residual risk exists where previously obese individuals became overweight (RR: 14.72, 95%CI: 12.36 to 17.52, p < 0.01) or lean (RR: 2.46, 95%CI: 1.40 to 4.31, p = 0.02), and previously overweight individuals who became lean (RR 2.24, 95%CI 1.42 to 3.54, p = 0.01) had persistent elevated risk of developing NAFLD despite weight regression. Sensitivity analysis identified that a higher proportion of individuals with regression in weight class were diabetics and Mexican Americans, while fewer African Americans saw weight-class regression. Conclusions: Residual risk exists in patients who lost weight despite the smaller magnitude of effect, and targeted weight reductions should still be used to mitigate the risk of NAFLD at the population level.

Indexed as

Non-alcoholic Fatty Liver DiseaseBody Mass IndexHumansNutrition SurveysObesityOdds RatioOverweightPrevalenceUnited Statesbody mass indexnon-alcoholic fatty liver diseaseweight classes

Identifiers

PMID36011567
PMCPMC9408006
OpenAlexW4290964589

What OpenQuestion holds

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LicenceCC BY
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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.