Evidence map›Paper›PMID 39607069›Full record

ArticlePaediatric and perinatal epidemiology2024

Early-life menstrual characteristics and gestational diabetes in a large US cohort.

Zifan Wang, Donna D Baird, Michelle A Williams, Anne Marie Z Jukic, Allen J Wilcox, Christine L Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Russ Hauser, Brent A Coull and 1 more

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

11 authors.

Zifan WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6068-2902
Donna D BairdEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, USA.
Michelle A WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Anne Marie Z JukicEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-8635-9505
Allen J WilcoxEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, USA.
Christine L CurryHealth, Apple Inc., Cupertino, California, USA.
Tyler Fischer-ColbrieHealth, Apple Inc., Cupertino, California, USA.ORCID https://orcid.org/0000-0001-5723-800X
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Brent A CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Shruthi MahalingaiahDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

Apple Inc.NIEHS NIH HHSNIH HHSthe Intramural Research Program of the NIH Z01ES103333
6 · The paper itself

Abstract

backgroundAssociations between early-life menstrual cycle characteristics (MCC) and gestational diabetes (GDM) remain unclear.

objectivesTo evaluate associations between early-life MCCs and GDM in first pregnancy, across pregnancies and its recurrence.

methodsThis analysis included participants from a US-based digital cohort enrolled between 11/2019 and 9/2023 who provided consent, completed relevant surveys, were without diabetes and aged ≥18 at first pregnancy (n = 30,473). Age at menarche [<11 (early), 11-15 (referent), ≥16 (late) years] and time from menarche to cycle regularity [<1 (referent), 1-2, 3-4, ≥5 years, not yet regular, regular after hormones] were self-recalled at enrolment. Additionally, the last three categories were considered prolonged time-to-regularity (PTTR). GDM history was recalled at enrolment for each pregnancy. We restricted to pregnancies of ≥24 weeks with a live birth. We evaluated associations of early-life MCCs with GDM at first pregnancy using modified Poisson regression, across pregnancies using cluster-weighted Poisson generalised estimating equation and GDM recurrence using multinomial logistic regression, adjusted for sociodemographic, early-life factors and age at pregnancy. Missing variables were imputed with multiple imputation by chained equations.

resultsAmong 30,473 participants, 20,591 had eligible first pregnancies, of which 5.9% reported GDM. In 17,512 participants with ≥2 pregnancies, 8.3% had GDM once and 3.7% had recurrent GDM. Early menarche (<11 years, vs. 11-15 years) was associated with GDM in first pregnancy (RR 1.34, 95% CI 1.15, 1.57), across pregnancies (RR 1.24, 95% CI 1.10, 1.39) and recurrence (OR 1.51, 95% CI 1.21, 1.89). PTTR was associated with GDM in the first pregnancy (RR 1.22, 95% CI 1.08, 1.38), across pregnancies (RR 1.16, 95% CI 1.05, 1.27) and recurrence (OR 1.19, 95% CI 0.99, 1.43).

conclusionsEarlier menarche and prolonged time-to-regularity are associated with higher risk of GDM and recurrence, suggesting menstrual characteristics during childhood/adolescence as potential early-life markers for GDM.

Indexed as

Diabetes, GestationalMenarcheAdolescentAdultChildCohort StudiesFemaleHumansMenstrual CyclePregnancyRisk FactorsUnited StatesYoung Adultdigital cohort studygestational diabetesirregular cyclesmenarchemenstrual cyclerecurrent gestational diabetes

Identifiers

PMID39607069
PMCPMC11603761

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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.