Evidence map›Paper›PMID 32448986›Full record

SynthesisEuropean journal of epidemiology2020

Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects.

Martin C S Wong, Junjie Huang, Jingxuan Wang, Paul S F Chan, Veeleah Lok, Xiao Chen, Colette Leung, Harry H X Wang, Xiang Qian Lao, Zhi-Jie Zheng

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 13 pooled it
23.2field-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

182 citing papers in PubMed, 13 syntheses or guidelines pooled it, 314 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
    Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Article
  19. Review
  20. Review

122 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Martin C S WongJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong. wong_martin@cuhk.edu.hk.ORCID http://orcid.org/0000-0001-7706-9370
Junjie HuangJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Jingxuan WangJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Paul S F ChanJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Veeleah LokJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Xiao ChenJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Colette LeungJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Harry H X WangSchool of Public Health, Sun Yat-Sen University, Guangzhou, China.
Xiang Qian LaoJockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, 4/F, School of Public Health, Prince of Wales Hospital, Hong Kong, Hong Kong.
Zhi-Jie ZhengDepartment of Global Health, School of Public Health, Peking University, 38, Xue Yuan Road, Haidian District, Beijing, China. zhengzj@bjmu.edu.cn.
Chinese University of Hong Kong · HKPeking University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to examine the global prevalences of central obesity according to age, sex, race, place of residence, geographical region, national income level, and the definitions of central obesity. MEDLINE and Embase were searched. Studies with sample size of ≥ 500 and investigated individuals aged ≥ 15 years were included. Metaprop (a Stata command) was adopted to conduct a meta-analysis of prevalence, and the Freeman-Tukey Double Arcsine Transformation was used to stabilize the variances. A random-effects model was used to evaluate the prevalence and 95% confidence intervals (CI) of central obesity. There were 288 studies involving 13,233,675 individuals in this analysis. The overall prevalence of central obesity was 41.5% (95% CI 39.9-43.2%). A higher prevalence was found in older individuals, female subjects, urban residents, Caucasians, and populations of higher income level countries. Regarding regional variations, the highest prevalence was found in Sothern America (55.1%, 95% CI 45.8-64.3%) and Central American (52.9%, 95% CI 32.7-72.7%). Its prevalence was rapidly rising from 1985 to 2014. From 1985-1999 to 2010-2014, younger subjects aged 15-40 years showed a more drastic rise in prevalence (16.3 to 33.9%) than subjects aged > 40 years (43.6 to 57.9%). Male individuals have a more drastic rise (25.3 to 41.6%) than females (38.6 to 49.7%). Major increasing in prevalence of the condition in the past three decades, particularly in certain subgroups. These findings could act as a useful reference to inform public health strategies to minimize the impact of central obesity on population health.

Indexed as

AdolescentAdultAgedAge FactorsDeveloped CountriesDeveloping CountriesHumansMiddle AgedObesity, AbdominalPrevalenceRacial GroupsResidence CharacteristicsRisk FactorsSex FactorsWaist CircumferenceYoung AdultCentral obesityEpidemiologyPrevalenceTemporal trendWaist circumference

Identifiers

PMID32448986
PMCPMC7387368
OpenAlexW3028494703

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.