Evidence mapPaperPMID 39777912Full record

ArticlePloS one2025

Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China.

Miaomiao Ma, Deliang Lv, Xiaobing Wu, Yuqing Chen, Shimiao Dai, Yutian Luo, Hui Yang, Wei Xie, Fengzhu Xie, Qinggang Shang and 3 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Impact of body mass index on chronic rhinosinusitis: disease burden and treatment outcomes.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Observational
  4. Article
  5. Review
  6. Article
  7. Observational
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

13 authors.

Miaomiao MaShenzhen Center for Chronic Disease Control, Shenzhen, China.
Deliang LvShenzhen Center for Chronic Disease Control, Shenzhen, China.
Xiaobing WuShenzhen Center for Chronic Disease Control, Shenzhen, China.
Yuqing ChenSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Shimiao DaiSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Yutian LuoSchool of Public Health, Columbia University, New York, NY, United States of America.
Hui YangShenzhen Center for Chronic Disease Control, Shenzhen, China.
Wei XieShenzhen Center for Chronic Disease Control, Shenzhen, China.
Fengzhu XieShenzhen Center for Chronic Disease Control, Shenzhen, China.
Qinggang ShangShenzhen Center for Chronic Disease Control, Shenzhen, China.
Ziyang ZhangShenzhen Center for Chronic Disease Control, Shenzhen, China.
Zhiguang ZhaoShenzhen Center for Chronic Disease Control, Shenzhen, China.
Ji-Chang ZhouSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.ORCID https://orcid.org/0000-0003-4177-614X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increased risks for cardiovascular comorbidities and cardiovascular diseases (CVD) in populations with normal weight obesity (NWO) have not been well-identified. We aimed to study their associations in an adult population in South China.

methodsBased on the CVD prevalence of 4% in Shenzhen and a calculated sample size of 6,000, a cross-sectional study with a multi-stage stratified cluster sampling method was conducted in Shenzhen City. The cardiovascular comorbidities being studied were abdominal obesity (AO), diabetes, hypertension, dyslipidemia, metabolic syndrome, and chronic kidney disease, while the CVD events were occurrences of myocardial infarction and strokes. Questionnaire surveys, physical examinations, and laboratory tests were performed. NWO was defined as a condition with the highest tertile of body fat percentage (BF%) among the normal body mass index (BMI) range (18.5-23.9 kg/m2). Continuous data were reported as mean [standard deviation (SD)] and categorical data as percentages (%). CVD comorbidities and CVD events and their detection rates in different groups were compared using ANONA analysis and Chi-squared test. Spearman's correlation coefficients between BF% and cardiometabolic abnormalities were calculated by partial correlation analysis. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for BF%, CVD comorbidities, and CVD events, adjusted for multiple confounders.

resultsAmong the total 6,240 subjects who completed the study and had BMI and BF% data available, 3,086 had normal BMI. The prevalence of NWO was 16.36%, with 13.15% for men and 19.54% for women. With confounders adjusted, the risks of AO (OR = 6.05, 95%CI = 3.40-10.75), essential hypertension (OR = 1.56, 95%CI = 1.09-2.22), dyslipidemia (OR = 1.85, 95%CI = 1.49-2.29), and metabolic syndrome (OR = 4.61, 95%CI = 2.32-9.18) were significantly increased in the populations with NWO compared with the population without NWO (P < 0.05). BF% was not significantly associated with the risk of CVD events in the total (OR = 1.56, 95%CI = 0.83-2.93), male (OR = 1.00, 95%CI = 0.44-2.30), and female populations (OR = 2.53, 95%CI = 0.91-7.06).

conclusionNWO was found to be positively associated with CVD comorbidities but not with CVD events. The current study provides a ground to conduct further studies on whether body fat affects the risk of occurrence of CVD events and the underlying mechanisms in the future.

Indexed as

Cardiovascular DiseasesComorbidityAdultAgedBody Mass IndexChinaCross-Sectional StudiesDyslipidemiasFemaleHumansHypertensionMaleMetabolic SyndromeMiddle AgedObesityPrevalence

Identifiers

PMID39777912
PMCPMC11709311

What Socratic holds

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LicenceCC BY
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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 Socratic graph.