Evidence map›Paper›PMID 39184034›Full record

ArticleAddictive behaviors reports2024

Acceptability of heart rate-based remote monitoring of smoking status.

Matthew Mitnick, Shelby Goodwin, Mikaela Bubna, Justin S White, Bethany R Raiff

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matthew MitnickDepartment of Psychology, College of Science and Mathematics, Rowan University, Glassboro, NJ 08028, United States.
Shelby GoodwinDepartment of Psychology, College of Science and Mathematics, Rowan University, Glassboro, NJ 08028, United States.
Mikaela BubnaDepartment of Psychology, College of Science and Mathematics, Rowan University, Glassboro, NJ 08028, United States.
Justin S WhiteDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA 02118, United States.
Bethany R RaiffDepartment of Psychology, College of Science and Mathematics, Rowan University, Glassboro, NJ 08028, United States.

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI RONALD D LEE · 1999 to 2026
$18.6M
Re-Connect: Personalized, Non-Monetary Smartphone-based Rewards for Smoking CessationR34DA052920 · NIDA · ROWAN UNIVERSITY · PI RAIFF, BETHANY R · 2021 to 2023
$658k
A Pilot Trial of Gamification for Enhancing a Smoking Cessation App.R21CA238301 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WHITE, JUSTIN S · 2020 to 2021
$429k
NCI NIH HHS R21 CA238301NIA NIH HHS P30 AG012839NIDA NIH HHS R34 DA052920
6 · The paper itself

Abstract

Introduction: Digital interventions present a scalable solution to overcome barriers to smoking cessation treatment, and changes in resting heart rate (HR) may offer a viable option for monitoring smoking status remotely. The goal of this study was to explore the acceptability of using smartphone cameras and activity trackers to measure heart rate for use in a smoking cessation intervention. Methods: Participants (N=410), most of whom identified as female (75.8 %) with mean age 38.3 years (SD 11.4), were recruited via the Smoke Free app. They rated the perceived comfort, convenience, and likelihood of using smartphone cameras and wrist-worn devices for HR monitoring as an objective measure of smoking abstinence. Wilcoxon signed-rank tests and Kruskal-Wallis tests assessed differences in acceptability across device types and whether the participant owned an activity tracker/smartwatch or smartphone. Results: Participants reported high levels of acceptability for both HR monitoring methods, with activity trackers/smartwatches rated more favorably in terms of comfort, convenience, and likelihood of use compared to smartphone cameras. Participants indicated a statistically significantly greater likelihood of using the activity tracker/smartwatch over the smartphone camera. Participants viewed the activity tracker/smartwatch as more acceptable than the smartphone camera (87.0% vs 50.0%). Conclusions: HR monitoring via smartphone cameras and wrist-worn devices was deemed acceptable among people interested in quitting smoking. Wrist-worn devices, in particular, were preferred, suggesting their potential as a scalable, user-friendly method for remotely monitoring smoking status. These findings support the need for further exploration and implementation of HR monitoring technology in smoking cessation research and interventions.

Indexed as

AcceptabilityBiochemical verificationHeart rateSmokingSmoking cessation

Identifiers

PMID39184034
PMCPMC11342743

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.