Evidence map›Paper›PMID 42815033›Full record

Trial reportJournal of medical Internet research2026

Behavior Change and Compliance Outcomes of a Novel Web-Based Health Behavior Tool Integrated Into Certified Exercise Practitioner Services: Twelve-Week, Two-Arm, Randomized Pre-Post Trial.

Kade Davison, Anthony Mezzini, Nathan Harten, Max Martin, David Lowrey, Holly Evans, Janis Onuzans, William Bastian, Rohan Singh Howard, Bethany Gower

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Kade DavisonAlliance for Research in Exercise, Nutrition and Activity, School of Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0002-7101-7729
Anthony MezziniSchool of Allied Health and Human Performance, College of Health, Adelaide University, City East Campus, Playford Building P4-27, North Terrace, Adelaide, South Australia, 5000, Australia, 61 0427820256.ORCID http://orcid.org/0000-0002-8197-4100
Nathan HarteniNform Health and Fitness Solutions, Adelaide, South Australia, Australia.
Max MartiniNform Health and Fitness Solutions, Adelaide, South Australia, Australia.
David LowreyiNform Health and Fitness Solutions, Adelaide, South Australia, Australia.ORCID http://orcid.org/0009-0000-5819-2461
Holly EvansCollege of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0003-4593-8839
Janis OnuzansAllied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.ORCID http://orcid.org/0009-0003-6518-3848
William BastianAllied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.ORCID http://orcid.org/0009-0006-9368-7340
Rohan Singh HowardAllied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Bethany GowerSchool of Allied Health and Human Performance, College of Health, Adelaide University, City East Campus, Playford Building P4-27, North Terrace, Adelaide, South Australia, 5000, Australia, 61 0427820256.ORCID http://orcid.org/0000-0001-6969-6913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthy lifestyle behaviors, including a balanced diet, regular physical activity, adequate sleep, avoiding tobacco, moderating alcohol consumption, and stress management, are associated with reduced risk of chronic disease and improved well-being. In recent years, digital interventions have emerged as cost-effective platforms for promoting these behaviors, yet few have been integrated into services delivered by certified exercise practitioners (CEPs) or focused on multiple domains of health. Objective: This study aimed to examine changes in health behaviors during implementation of the Food, Exercise, Sleep, and Stress (FESS) web-based questionnaire as an adjunct to traditional face-to-face services provided by CEPs and compare these changes across 2 prompting frequencies. Methods: A 2-arm, randomized pre-post intervention design was conducted with 41 participants (23 women), with a median age of 65 (IQR 58-70) years, who were recruited from CEP clinics. Participants were randomized to complete the FESS questionnaire either 3 times per week (3-day group, n=21) or daily (everyday group, n=20) for 12 weeks. The questionnaire tracked health behaviors across 4 domains and provided health tips. Outcomes were assessed using the assessment version of the FESS questionnaire at baseline and at 6 and 12 weeks. Changes in FESS questionnaire responses were examined over time using Friedman ANOVA with Wilcoxon signed-rank post hoc tests. Group differences between prompting frequencies were assessed by calculating changes in questionnaire responses from baseline to 6 and 12 weeks and analyzing them using the Mann-Whitney Results: Positive or no changes were observed across most behaviors, with significant improvements in vegetable consumption, water intake, stress, and sleep. Group comparisons indicated larger changes in stress and sleep behaviors in the everyday group; however, compliance was higher in the 3-day group. Compliance declined over time in both groups. Accelerometer validation of the exercise domain showed low rates of overreporting exercise (3/59, 5.1%) and underreporting sedentary behavior (11/59, 18.6%). Conclusions: The FESS questionnaire demonstrated feasibility and was associated with observed changes in health behaviors, particularly in diet, stress, and sleep, when integrated into CEP services. While daily use was associated with larger observed changes, reduced compliance highlights the importance of flexible engagement strategies. These preliminary findings suggest that CEP services may benefit from embedding structured digital tools into traditional face-to-face interactions, as such tools may support education, promote reflection and accountability between sessions, and facilitate attention to a broader range of lifestyle factors within routine CEP care. Further controlled studies are required to confirm these findings.

Indexed as

ExerciseHealth BehaviorInternetPatient ComplianceAdherence InterventionsAgedFemaleHumansMaleMiddle AgedSleepSurveys and Questionnairesbehavior changeclinical exercise practitionersdigital healthlifestyle behaviorsweb-based intervention

Identifiers

PMID42815033
PMCPMC13626647

What OpenQuestion holds

Textmetadata
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.