Evidence mapPaperPMID 42291601Full record

ArticlePakistan journal of medical sciences2026

Association between Lipid Profile, Anthropometric Parameters, and Gestational Diabetes Mellitus: A cross-sectional analysis of NHANES 2015-2023.

Haimeng Luo, Chang Chen, Rongli Xu, Xiuqiong Zheng, Xuechun Wang

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Haimeng LuoHaimeng Luo, Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, P.R. China.
Chang ChenChang Chen, Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, P.R. China.
Rongli XuRongli Xu, Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, P.R. China.
Xiuqiong ZhengXiuqiong Zheng, Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, P.R. China.
Xuechun WangXuechun Wang, Department of Obstetrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Objective: Gestational diabetes mellitus (GDM) is a common pregnancy complication, affecting approximately 6-9% of pregnancies in United States alone. Women who develop GDM are at higher risk for future Type-II diabetes and cardiovascular disease (CVD). This study examined the association of sociodemographic factors, lipid profiles, and anthropometric measures with GDM history in nationally representative sample. Methodology: This cross-sectional secondary data analysis used publicly available data from U.S. National Health and Nutrition Examination Survey (NHANES), collected from civilian, non-institutionalized population of United States during 2015-2023. Sample included parous women aged 20-44 years, with GDM status defined by self-report of physician-diagnosed diabetes first occurring during pregnancy. Women with and without history of GDM were compared using survey-weighted statistical tests and multivariable log-binomial regression. Results: Among 4,504 women analyzed, 8.9% reported history of GDM. Higher education and greater parity, particularly having two or more children, were strongly associated with GDM. Women with GDM had markedly higher prevalence of diabetes. While association between GDM history and abnormal lipid levels was not scientifically significant, obesity and central adiposity were considerably higher in the GDM group, indicating increased metabolic association. Conclusions: In this nationally representative sample, history of GDM was associated with greater adiposity and higher prevalence of diabetes, while no clear statistically significant association was observed with abnormal lipid levels. These findings suggest that women with prior GDM may represent higher-risk group for future cardiometabolic health problems and may benefit from continued metabolic risk assessment and follow-up after pregnancy.

Indexed as

AnthropometryGestational Diabetes MellitusLipidsNHANES

Identifiers

PMID42291601
PMCPMC13263614

What Socratic 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 Socratic graph.