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Record W4317802751 · doi:10.2196/39352

Delivering a Post-Partum Weight Loss Intervention via Facebook or In-Person Groups: Results from a Randomized Pilot Feasibility Trial

2023· article· en· W4317802751 on OpenAlexvenueno aff
Molly E. Waring, Sherry Pagoto, Tiffany A. Moore Simas, Loneke T. Blackman Carr, Madison L. Bracken, Brooke A Libby, Valeria Herrera, Lauren R. Rudin, Justin Wang, Grace E Heersping, Abigail R Burdick

Bibliographic record

VenueIproceedings · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialWeight lossAttendanceMedicineOverweightIntervention (counseling)Psychological interventionObesityPhysical therapyFamily medicinePsychiatrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background Postpartum weight retention contributes to weight gain and obesity. Remote lifestyle interventions may overcome barriers to attending in-person programs during this phase. Objective We aimed to conduct a randomized feasibility pilot trial of a 6-month postpartum weight loss intervention delivered via Facebook or in-person groups. Feasibility outcomes were recruitment, sustained participation, contamination, retention, and feasibility of study procedures; percent weight loss at 6 and 12 months, exploratory outcomes. Methods Women with overweight or obesity who were 8 weeks to 12 months post partum were randomized to receive a 6-month behavioral weight loss intervention based on the Diabetes Prevention Program lifestyle intervention via Facebook or in-person groups. Participants completed assessments at baseline, 6 months, and 12 months. Sustained participation was defined with intervention meeting attendance or visible engagement in the Facebook group. Retention was defined as completing follow-up assessments (providing weight or completing the survey). We calculated the percent weight change for participants who provided weight at each follow-up. Results Among uninterested individuals, 69% (72/105) were not interested in or could not attend in-person meetings and 3% (3/105) were not interested in the Facebook condition. Among individuals excluded at screening, 18% (36/195) were ineligible due to reasons related to the in-person condition, 12% (24/195) related to Facebook and 3% (5/195) were unwilling to be randomized (all preferred Facebook). Randomized participants (n=62) were a median of 6.1 (IQR 3.1-8.3) months post partum with a median BMI of 31.7 (IQR 28.2-37.4) kg/m2. Retention was 92% (57/62) at 6 months and 94% (58/62) at 12 months. Overall, 70% (21/30) of Facebook participants and 31% (10/32) of in-person participants attended the last intervention module. Further, 50% (13/26) of Facebook participants and 58% (15/26) of in-person participants would be likely or very likely to participate again if they had another baby, and 54% (14/26) and 70% (19/27), respectively, would be likely or very likely to recommend the program to a friend. Moreover, 96% (25/26) of Facebook participants reported that it was convenient or very convenient to log into the Facebook group daily versus 7% (2/27) of in-person participants who said it was convenient or very convenient to attend group meetings each week. Contamination was low, and study procedures were feasible. Average weight loss was 3.0% (SD 7.2%) in the Facebook condition and 5.4% (SD 6.8%) in the in-person condition at 6 months and 2.8% (SD 7.4%) and 4.8% (SD 7.6%) at 12 months, respectively. Conclusions Barriers to attending in-person meetings hampered recruitment efforts and intervention participation. While women found web-based groups convenient and stayed engaged in the group, weight loss may be lower. Research is needed to further develop care models for postpartum weight loss that balance accessibility with efficacy. Conflicts of Interest None declared. Trial Registration ClinicalTrials.gov NCT03700736; https://clinicaltrials.gov/ct2/show/NCT03700736

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.115
GPT teacher head0.422
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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