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Record W4306941905 · doi:10.21203/rs.3.rs-2139135/v1

A theory-driven intervention delivered by email to promote physical activity in women who are overweight or obese: Participants’ perspectives on acceptability and usability within the context of a three-arm parallel group randomized controlled trial

2022· preprint· en· W4306941905 on OpenAlexafffundabout
Jennifer Brunet, Sitara Sharma, Jenson Price, Melissa Black

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOverweightUsabilityContext (archaeology)Intervention (counseling)Physical activityPsychologyComputer sciencePhysical therapyObesityMedicineApplied psychologyGerontologyHuman–computer interactionNursingInternal medicineGeography

Abstract

fetched live from OpenAlex

Abstract Background: Insufficient physical activity and excess weight increase illness risk for women. Email-delivered interventions may be a solution for offering accessible, cost-effective, brief support to women to increase their engagement in physical activity. This study explored participants’ perspectives of the acceptability and usability of a theory-driven, email-delivered intervention coupled with a wearable activity monitor designed to promote physical activity in women who were insufficiently active and overweight/obese. Methods: In this three-arm parallel group randomized controlled trial (unblinded), participants allocated to the main intervention arm received a fully automated intervention consisting of: (a) six weekly emails, (b) a Polar A300 activity monitor (with access to the Polar website and companion smartphone application), and (c) a copy of the Canadian physical activity guidelines for adults (18-64 years). Email content, informed by self-determination theory, was designed to enhance autonomous motivation for physical activity through fostering perceptions of competence, autonomy, and relatedness by sharing motivational and behaviour change techniques to promote needs satisfaction. Post-intervention, participants completed an acceptability survey containing open- and closed-ended questions online. Descriptive and content analyses were performed for responses to closed- and open-ended questions, respectively. Results: Data from 14 women (age range=18-63 years, mean body mass index=31.3±5.8 kg/m2) who received the main intervention and completed the post-intervention survey were analyzed. Qualitative data indicated most were satisfied with the intervention and appreciated that emails prompted self-reflection, kept them on track and accountable, provided informational support, and were non-pressuring. Further, it suggested the monitor was “enjoyable” and “helpful;” quantitative data corroborated this as 71.4% said the monitor was “very valuable/absolutely valuable,” 71.7% would “very probably/definitely” still use one, and 85.7% wore it ≥5 days/week for ≥8 hours/day and checked it “occasionally/frequently/very frequently.” However, potential threats to acceptability were noted, including “long” and “text-heavy” emails, lack of personal contact, and cumbersome, non-aesthetic monitors. Conclusions: Results suggest this self-determination theory-driven email-delivered intervention may be an acceptable low-contact approach to help promote physical activity in women who are overweight or obese and insufficiently active, although improvements are warranted and studies ascertaining its effectiveness are needed. Nonetheless, results may inform the development or refinement of similar interventions in other contexts. Trial Registration: This trial was registered at ClinicalTrials.gov (ID: NCT03601663, Date: July 26, 2018; http://clinicaltrials.gov/ct2/show/NCT03601663).

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)0.021
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.080
GPT teacher head0.423
Teacher spread0.343 · 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 designQualitative
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
Published2022
Admission routes3
Has abstractyes

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