ArticleBMC pregnancy and childbirth2023
Development and validation of a screening questionnaire for early identification of pregnant women at risk for excessive gestational weight gain.
Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01958307 (Healthy Living in Pregnancy), which is not on this map. Cited by 7 papers.
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.
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.
Healthy Living in Pregnancy
Who cites it
7 citing papers in PubMed.
- Child somatic growth and neurodevelopment: effects of pregnancy lifestyle intervention.Pediatric research · 2025Trial
- Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain.Frontiers in public health · 2026Observational
- Application of snake model imaging selection and analysis to the ultrasound diagnosis of white matter damage in preterm infants.BMC medical imaging · 2025Article
- Optimal Gestational Weight Gain and Fetal Growth in Urban Environments: The Role of Residential Greenness.Environment & health (Washington, D.C.) · 2025Article
- Adolescent Risk Factors for Adult Pre-Pregnancy Obesity and High Gestational Weight Gain: A Longitudinal Study.Paediatric and perinatal epidemiology · 2025Article
- Analysis of the microbiota of pregnant women in relation to weight gain during pregnancy - a pilot study.Frontiers in cellular and infection microbiology · 2025Article
- App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review.Journal of medical Internet research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExcessive weight gain during pregnancy is associated with adverse health outcomes for mother and child. Intervention strategies to prevent excessive gestational weight gain (GWG) should consider women's individual risk profile, however, no tool exists for identifying women at risk at an early stage. The aim of the present study was to develop and validate a screening questionnaire based on early risk factors for excessive GWG.
methodsThe cohort from the German "Gesund leben in der Schwangerschaft"/ "healthy living in pregnancy" (GeliS) trial was used to derive a risk score predicting excessive GWG. Sociodemographics, anthropometrics, smoking behaviour and mental health status were collected before week 12
results1790 women were included in the analysis, of whom 45.6% showed excessive GWG. High pre-pregnancy body mass index, intermediate educational level, being born in a foreign country, primiparity, smoking, and signs of depressive disorder were associated with the risk of excessive GWG and included in the screening questionnaire. The developed score varied from 0-15 and divided the women´s risk for excessive GWG into low (0-5), moderate (6-10) and high (11-15). The cross-validation and the external validation yielded a moderate predictive power with an AUC of 0.709 and 0.738, respectively.
conclusionsOur screening questionnaire is a simple and valid tool to identify pregnant women at risk for excessive GWG at an early stage. It could be used in routine care to provide targeted primary prevention measures to women at particular risk to gain excessive gestational weight.
trial registrationNCT01958307, ClinicalTrials.gov, retrospectively registered 9 October 2013.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.