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Record W6991184710

Examination of physical activity, barriers, and wellbeing in mothers within one year of giving birth

2023· other· en· W6991184710 on OpenAlexaff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsBrock University
Fundersnot available
KeywordsPhysical activitySocial supportScale (ratio)CognitionFeelingPhysical exercise
DOInot available

Abstract

fetched live from OpenAlex

Many new moms express a desire to be physically active but encounter a variety of barriers, such as lack of perceived social support. Different types of support might be needed for new mothers to be active (e.g., for exercise- or postpartum-related barriers). While social support (SS) has been shown to improve physical activity and well-being, there is a need to understand moderators of these relationships. Exercise-related cognitive errors (ECEs) bias how accurately individuals view their physical activity and might impact the support-activity relationship. It was hypothesized that ECEs and social support would interact to predict physical activity, barrier self-efficacy, and psychological well-being in the first year after giving birth. New moms (N= 268, Mage=29.96 years ± 6.12) completed a self-reported survey using the ECE questionnaire (ECE-Q), Social Support for Exercise scale (SSES; 2 subscales family and friends), a modified Postpartum Support questionnaire (PSSQ; 2 subscales: family and friends), Psychological Well-being scale (PWBS), barrier self-efficacy, and the short form International Physical Activity Questionnaire (IPAQ). SSES friends individually predicted physical activity bouts (B = .270, p < .001; R2 =.06, p < .001) beyond covariates. SSES family (B = .219, p < .001) and the ECE-Q (B = .141, p = .025) predicted physical activity bouts (R2 = .04, p < .001) beyond covariates. SSES from friends (B = .261, p <.001) and the ECE-Q (B = -.180, p = .002) predicted barrier-efficacy (R2 = .03, p < .001) beyond covariates. SSES from family (B = .274, p < .001) and the ECE-Q (B = -.145, p = .014) predicted barrier-efficacy (R2 = .02, p < .001) beyond covariates. SSES (B = -.288, p <.001) PSSQ (B = .490, p <.001) from friends and ECEs (B = -.121, p = .027) were predictors for PWBS (R2 = .01, p < .001) beyond the covariates. PSSQ from family (B = .433, p < .001), and the ECE-Q (B = -.150, p = .007; predicted PWBS (R2 = .02, p < .001) beyond covariates. None of the interactions were significant. While previous research has observed an interaction between SSES and ECEs in predicting physical activity bouts during pregnancy, the current findings did not support this interaction after birth for new mothers. Findings underscore possible predictors of how new mothers view and overcome their physical activity barriers and of their wellbeing.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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 designObservational
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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