Evidence map›Paper›PMID 37767793›Full record

ArticleJournal of global health2023

Dose-response associations of maternal age with pregnancy complications and multimorbidity among nulliparas and multiparas: A multicentric retrospective cohort study in southern China.

Jingya Li, Yamei Li, Yamei Duan, Xiang Xiao, Jiayou Luo, Miyang Luo

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Risk Factors for Gestational Diabetes Mellitus in Mainland China: A Systematic Review and Meta-Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
  4. Observational
  5. 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

6 authors at 2 institutions in 1 country.

Jingya LiDepartment of Women and Children Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Yamei LiDepartment of Women Health Care, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Yamei DuanDepartment of Women and Children Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Xiang XiaoDepartment of Women and Children Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Jiayou LuoDepartment of Women and Children Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Miyang LuoDepartment of Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Central South University · CNHunan Provincial Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced maternal age is becoming an increasingly common issue worldwide, presenting substantial health risks to pregnant women. However, dose-response associations of maternal age with a comprehensive range of pregnancy complications and their multimorbidity remain unclear. Methods: We conducted a retrospective cohort study using data from China's National Maternal Near Miss Surveillance System for 2017-2018, including 18 hospitals in southern China. We included 135 274 pregnant women aged 15-54 years with a singleton birth. We used multivariable logistic regression and restricted cubic spline to examine dose-response associations between maternal age and various pregnancy complications, as well as multimorbidity. We employed the Apriori algorithm to mine the association rules among pregnancy complications and identify frequent multimorbidity patterns. Results: We found three distinct patterns of associations between maternal age and specific pregnancy complications. In relation to increasing maternal age, gestational diabetes mellitus, preeclampsia, and gestational hypertension showed nonlinear increasing trends for both nulliparas and multiparas, as did multimorbidity in nulliparas. Conversely, we observed linear increasing trends for placental previa in both nulliparas and multiparas, placental abruption in nulliparas, and multimorbidity in multiparas. Infection and severe anaemia had an approximate J-shaped curve among nulliparas, while postpartum haemorrhage exhibited a similar curve in both nulliparas and multiparas. Advanced maternal age was linked to an elevated risk of multimorbidity during pregnancy or postpartum period, exhibiting more complicated patterns. The most common multimorbidity patterns in this age group were "preeclampsia + gestational diabetes mellitus", "gestational hypertension + gestational diabetes mellitus", "infection + gestational diabetes mellitus", and "placental previa + gestational diabetes mellitus". Conclusions: Maternal age was associated with pregnancy complications and multimorbidity in three broad dose-response manners, including approximate J-shaped curves, as well as nonlinear and linear increasing trends, depending on the specific outcome and parity, which may suggest different underlying biological mechanisms. Women with advanced maternal age had a higher risk and more complicated patterns of multimorbidity during pregnancy or postpartum, suggesting that this group should be targeted for more intensive health care.

Indexed as

Maternal AgeMultimorbidityPregnancy ComplicationsAdolescentAdultChinaFemaleHumansMiddle AgedParityPregnancyRetrospective StudiesYoung Adult

Identifiers

PMID37767793
PMCPMC10535007
OpenAlexW4387115692

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.