Evidence map›Paper›PMID 31087500›Full record

ArticleJournal of diabetes investigation2020

Association between age at first childbirth and type 2 diabetes in Chinese women.

Xueqi Qu, Hanyu Wang, Shiyuan Zhou, Zhe Fang, Jingyuan Li, Kun Tang

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Xueqi QuBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Hanyu WangInstitute for Medical Humanities, Peking University Health Science Center, Beijing, China.
Shiyuan ZhouSchool of Public Health, Peking University Health Science Center, Beijing, China.
Zhe FangSchool of Public Health, Peking University Health Science Center, Beijing, China.
Jingyuan LiSchool of Public Health, Peking University Health Science Center, Beijing, China.
Kun TangResearch Center for Public Health, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-5444-186X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionThe present study aims to explore the relationship between age at first childbirth and developing type 2 diabetes, and analyze potential modifiers of its relationship. MATERIALS AND

methodsThe data were obtained from the baseline survey of a large-scale cohort study in 10 diverse areas of China. Multivariate logistic regressions were used to analyze the association between developing type 2 diabetes and the age at first childbirth. Adjustments were made in each model on sociodemographic, socioeconomic and reproductive covariates. Subgroup analyses were further carried out to investigate the effects of reproductive factors, body mass index at 25 years of age and hypertension on the above-mentioned association.

resultsWomen who have their first child at age <20 years (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.22-1.44) and between the ages of 20 and 24 years (OR 1.16, 95% CI 1.10-1.23) were more likely to be diagnosed with type 2 diabetes compared with those who have their first child between the ages of 25 and 29 years; equal to or more than three parities (OR 1.44, 95% CI 1.30-1.60), premenopausal status (OR 1.58, 95% CI 0.99-2.54), overweight at age 25 years (OR 1.62, 95% CI 1.37-1.93) and hypertension (OR 1.37, 95% CI 1.22-1.53) are all conditions found to increase the odds of developing type 2 diabetes in those who have their their first child at an early age (<20 years).

conclusionsThe study concluded that having the first child at an early age is associated with an increased likelihood of developing type 2 diabetes later in life; reproductive factors, overweight at age 25 years and status of hypotension could modify such an association.

Indexed as

Birth OrderMaternal AgeAdultAgedAge FactorsChildChinaCohort StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansMiddle AgedPregnancyPrevalencePrognosisChildbirthChinaType 2 diabetes

Identifiers

PMID31087500
PMCPMC6944842

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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 OpenQuestion graph.