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Record W4393092846 · doi:10.1158/1538-7445.am2024-2154

Abstract 2154: <i>Actívatexto:</i>Feasibility and acceptability of a mobile intervention that promotes smoking cessation and physical activity among Latinos

2024· article· en· W4393092846 on OpenAlexaff
Daimarelys Lara, Edgar I. Alaniz-Cantú, Arlette Chávez‐Iñiguez, Daniel Fuller, Scott McIntosh, Deborah J. Ossip, Ana Paula Cupertino, Francisco Cartujano‐Barrera

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSmoking cessationMedicinePhysical activityIntervention (counseling)GerontologyFamily medicinePhysical therapyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to assess the feasibility and acceptability of a mobile intervention that promotes smoking cessation and physical activity among Latinos. Twenty Latino adults who smoked and did not meet recommended levels of physical activity were recruited using community-based recruitment strategies. Participants received Actívatexto, a theory-based, culturally accommodated, 12-week text messaging intervention (available in English and Spanish) that promotes both smoking cessation and physical activity. Actívatexto integrates four components: 1) a text messaging program that promotes both smoking cessation and physical activity, 2) a wearable device to monitor physical activity, 3) an online dashboard where the research team manages participants’ incoming and outgoing data from both the text messaging program and wearable devices, and 4) smoking cessation pharmacotherapy (i.e., nicotine replacement therapies). We assessed self-reported 7-day point prevalence smoking abstinence (not smoking any cigarettes in the past seven days) at Month 3, weekly minutes of moderate to vigorous physical activity (MVPA), pharmacotherapy adherence, self-efficacy, and satisfaction. At baseline, participants’ mean age was 47.3 years old (SD 16.0), 55% of participants were female, 80% had completed high school or lower educational level, and 60% indicated that Spanish was their language of preference. Most participants (75%) smoked 1-10 cigarettes daily, 35% smoked their first cigarette within five minutes after waking up, and 60% used menthol cigarettes. At Month 3, 14 participants (70%) self-reported 7-day point prevalence smoking abstinence (90% follow-up rate). Fitbit-assessed mean minutes of MVPA per week increased from 113 (SD 127; range 0-399) at Week 1 to 177 (SD 163; range 0-513) at Month 3, although the difference was not statistically significant (p=0.15). Sixteen participants (88.9%, 16/18) reported NRT use in the past 90 days. Mean scores of self-efficacy for smoking cessation increased from 31.2 (SD 10.6) at baseline to 47.8 (SD 13.0) at Month 3 (p&amp;lt;0.01). Mean scores of self-efficacy for physical activity increased from 12.3 (SD 3.9) at baseline to 14.6 (SD 4.4) at Month 3 (p=0.2). Most participants reported being satisfied or extremely satisfied with the intervention (88.9%, 16/18). In conclusion, Actívatexto resulted in a noteworthy cessation rate at Month 3 (70%), increased mean minutes of MVPA per week, produced high use of NRT, increased self-efficacy for smoking cessation and physical activity, and was well received by participants. Additional testing in a formal randomized clinical trial is warranted to assess the efficacy of the intervention. Citation Format: Daimarelys Lara, Edgar I. Alaniz-Cantu, Arlette Chávez-Iñiguez, Daniel Fuller, Scott McIntosh, Deborah J. Ossip, Ana Paula Cupertino, Francisco Cartujano-Barrera. Actívatexto:Feasibility and acceptability of a mobile intervention that promotes smoking cessation and physical activity among Latinos [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2154.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.152
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.277
GPT teacher head0.576
Teacher spread0.299 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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