Evidence map›Paper›PMID 36850822›Full record

ArticleSensors (Basel, Switzerland)2023

Companion: A Pilot Randomized Clinical Trial to Test an Integrated Two-Way Communication and Near-Real-Time Sensing System for Detecting and Modifying Daily Inactivity among Adults >60 Years-Design and Protocol.

Diego Arguello, Ethan Rogers, Grant H Denmark, James Lena, Troy Goodro, Quinn Anderson-Song, Gregory Cloutier, Charles H Hillman, Arthur F Kramer, Carmen Castaneda-Sceppa and 1 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
0.8field-weighted citation impact, top 29% of its field
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, 3 citations in OpenAlex.

  1. Sensors for Human Physical Behaviour Monitoring.Sensors (Basel, Switzerland) · 2023
    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

11 authors at 3 institutions in 1 country.

Diego ArguelloBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-1719-9955
Ethan RogersBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.
Grant H DenmarkPhiladelphia College of Osteopathic Medicine, Philadelphia, PA 19131, USA.
James LenaManning College of Nursing and Health Sciences, University of Massachusetts Boston, Boston, MA 02125, USA.
Troy GoodroManning College of Nursing and Health Sciences, University of Massachusetts Boston, Boston, MA 02125, USA.
Quinn Anderson-SongBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-3404-4656
Gregory CloutierBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.
Charles H HillmanBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-3722-5612
Arthur F KramerCollege of Science, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0001-5870-2724
Carmen Castaneda-SceppaBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.
Dinesh JohnBouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA.
Northeastern University · USUniversity of Massachusetts Boston · USPhiladelphia College of Osteopathic Medicine · US

Funding

Core B - Pilot StudiesP30AG048785 · NIA · BRANDEIS UNIVERSITY · PI LACHMAN, MARGIE E · 2014 to 2023
$4.5M
Boston Roybal Center for Active Lifestyle Interventions (RALI Boston) sponsored by the National Institutes on Aging 5P30AG048785-07NIA NIH HHS P30 AG048785
6 · The paper itself

Abstract

Supervised personal training is most effective in improving the health effects of exercise in older adults. Yet, low frequency (60 min, 1-3 sessions/week) of trainer contact limits influence on behavior change outside sessions. Strategies to extend the effect of trainer contact outside of supervision and that integrate meaningful and intelligent two-way communication to provide complex and interactive problem solving may motivate older adults to "move more and sit less" and sustain positive behaviors to further improve health. This paper describes the experimental protocol of a 16-week pilot RCT (N = 46) that tests the impact of supplementing supervised exercise (i.e., control) with a technology-based behavior-aware text-based virtual "Companion" that integrates a human-in-the-loop approach with wirelessly transmitted sensor-based activity measurement to deliver behavior change strategies using socially engaging, contextually salient, and tailored text message conversations in near-real-time. Primary outcomes are total-daily and patterns of habitual physical behaviors after 16 and 24 weeks. Exploratory analyses aim to understand Companion's longitudinal behavior effects, its user engagement and relationship to behavior, and changes in cardiometabolic and cognitive outcomes. Our findings may allow the development of a more scalable hybrid AI Companion to impact the ever-growing public health epidemic of sedentariness contributing to poor health outcomes, reduced quality of life, and early death.

Indexed as

CommunicationQuality of LifeAgedAwarenessComputer SystemsHumansPilot ProjectsRandomized Controlled Trials as TopicmHealth interventionsmove more and sit lessnear-real-time interventionsolder adultsphysical inactivitypilot randomized controlled trialssedentary behaviorsensor-based physical activity measurementstudy protocols

Identifiers

PMID36850822
PMCPMC9965440
OpenAlexW4321105470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.