Evidence map›Paper›PMID 36014853›Full record

ArticleNutrients2022

Gestational Diabetes Mellitus and High Triglyceride Levels Mediate the Association between Pre-Pregnancy Overweight/Obesity and Macrosomia: A Prospective Cohort Study in Central China.

Xinli Song, Letao Chen, Senmao Zhang, Yiping Liu, Jianhui Wei, Tingting Wang, Jiabi Qin

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Double Burden of Malnutrition Prevalence in Pregnant Women: Systematic Review and Meta-Analysis.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Pooled it
  2. Gestational diabetes status modifies pre-pregnancy BMI associations with large for gestational age: A prospective cohort study in central China.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
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

7 authors at 2 institutions in 1 country.

Xinli SongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.ORCID 0000-0002-4941-5552
Letao ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Senmao ZhangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Yiping LiuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Jianhui WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Tingting WangNational Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410028, China.
Jiabi QinDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.ORCID 0000-0002-9360-4991
Central South University · CNHunan Provincial Maternal and Child Health Hospital · CN

Funding

Changsha Municipal Natural Science Foundation kq2202470China Postdoctoral Science Foundation 2020M682644Hunan Province Outstanding Youth Fund 2022JJ10087Hunan Provincial Key Research and Development Program 2018SK2063 and 2018SK2062Hunan Provincial Science and Technology Talent Support Project 2020TJ-N07National Natural Science Foundation Program of China 82073653 and 81803313Natural Science Foundation of Hunan Province 2018JJ2551Natural Science Foundation of Hunan Province of China 2022JJ40207Open Project from NHC Key Laboratory of Birth Defect for Research and Prevention KF2020006
6 · The paper itself

Abstract

The purpose of this study is to investigate whether the link between pre-pregnancy overweight/obesity and risk of macrosomia is mediated by both gestational diabetes mellitus (GDM) and high maternal triglyceride (mTG) levels. This prospective study finally included 29,415 singleton term pregnancies. The outcome of interest was macrosomia (≥4000 g). High mTG levels were denoted as values ≥90th percentile. GDM was diagnosed using a standard 75 g 2 h oral glucose tolerance test. The mediation analysis was conducted using log-binomial regression while controlling for maternal age, education, parity, gestational weight gain, gestational hypertension, smoking, drinking and infant sex. Overall, 15.9% of pregnant women were diagnosed with GDM, and 4.3% were macrosomia. Mediation analysis suggested that overweight had a total effect of 0.009 (95% CI, 0.006-0.013) on macrosomia, with a direct effect of 0.008 (95% CI, 0.004-0.012) and an indirect effect of 0.001 (95% CI, 0.001-0.002), with an estimated proportion of 11.1% mediated by GDM and high mTG levels together. Furthermore, we also discovered a total effect of obesity on macrosomia of 0.038 (95% CI, 0.030-0.047), consisting of a direct effect of 0.037 (95% CI, 0.028-0.045) and an indirect effect of 0.002 (95% CI, 0.001-0.002), with an estimated proportion of 5.3% mediated by GDM and high mTG levels combined. Both GDM and high mTG levels enhanced the risk of macrosomia independently and served as significant mediators in the relationship between pre-pregnancy overweight/obesity and macrosomia.

Indexed as

Diabetes, GestationalInfant, Newborn, DiseasesBirth WeightBody Mass IndexChinaFemaleFetal MacrosomiaHumansInfant, NewbornObesityOverweightPregnancyProspective StudiesTriglyceridesWeight GainTriglyceridesgestational diabetes mellitusmacrosomiamediation analysisobesityoverweighttriglyceride

Identifiers

PMID36014853
PMCPMC9413229
OpenAlexW4291916144

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.