ArticleJournal of pediatrics, perinatology and child health2023
A Pilot Lifestyle Behavior Intervention for Overweight or Obese Pregnant Women: Results and Process Evaluation.
Article in Journal of pediatrics, perinatology and child health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Evaluating acceptability and experiences of pregnant women at high risk of developing gestational diabetes who take part in antenatal intervention trials: a qualitative systematic review.BMC pregnancy and childbirth · 2025Pooled it
- Exploring the Effects of Dietary, Exercise, and Combined Lifestyle Interventions in the Prevention and Management of Gestational Diabetes Mellitus: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Modifiable Risk Factors for Hypertensive Disorders in Pregnancy.Critical public health · 2025Article
- A Pilot Goal-Oriented Episodic Future Thinking Weight Loss Intervention for Low-Income Overweight or Obese Young Mothers.Nutrients · 2023Article
- Pilot Lifestyle Intervention Effect on Lifestyle Behaviors, Psychosocial Factors, and Affect.Journal of pediatrics, perinatology and child health · 2023Article
- Dietary Intake of Micronutrients and Essential Fatty Acids among Overweight or Obese Pregnant Women during Early Pregnancy.Journal of pediatrics, perinatology and child health · 2023Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Introduction: This paper presents a pilot lifestyle behavior intervention effect on gestational weight gain and maternal and neonatal outcomes and intervention acceptability. Materials and Methods: Overweight or obese pregnant participants (N = 70) were randomized to the intervention or usual care group. The 20-week intervention integrated Hope theory and goal-oriented episodic future thinking (GoEFT) to prevent excessive gestational weight gain through stress and emotion management, healthy eating, and physical activity. Intervention participants completed a weekly web intervention module with 2 parts (I and II) and joined individual health coaching sessions (10 sessions). The primary outcome was gestational weight gain (GWG). Secondary outcomes included maternal and neonatal outcomes. Data were collected at 3 time points: baseline (< 17 weeks gestation, T1), 24-27 weeks gestation (T2), and 35-37 weeks gestation (T3). Intervention participants completed a semi-structured interview to evaluate the intervention. We compared GWG at T2 and T3 with T1 for intervention and usual care groups using t-tests and conducted content analysis to identify common themes for intervention acceptability. Results: There were no significant group differences in GWG at T2 and T3. Maternal and neonatal outcomes were similar between groups. Common themes for intervention acceptability were disked web Part I intervention presented in text, the need for choosing a weekly intervention topic, raising awareness through GoEFT and self-evaluation, increased motivation through GoEFT, and usefulness of pre-written goals and goal progress evaluation. Conclusions: Results of process evaluation are helpful for researchers to design a lifestyle intervention to prevent excessive gestational weight gain.
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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 OpenQuestion graph.