Evidence map›Paper›PMID 40092332›Full record

ArticleBehavior analysis in practice2025

A Preliminary Investigation of Long-Term Maintenance of a Parent-Implemented Physical Activity Intervention for Adolescents Diagnosed with ASD.

Yen Chai Chin, Odessa Luna, Benjamin N Witts

Abstract read
In one paragraph

Article in Behavior analysis in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Yen Chai ChinSt. Cloud State University, St. Cloud, MN USA.ORCID 0009-0006-8127-0935
Odessa LunaSt. Cloud State University, St. Cloud, MN USA.ORCID 0000-0002-6907-6180
Benjamin N WittsSt. Cloud State University, St. Cloud, MN USA.ORCID 0000-0002-5554-3147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many adolescents, particularly those diagnosed with autism spectrum disorders (ASD), fail to get ≥ 60 min/day of moderate- to vigorous-intensity physical activity (MVPA), in line with the World Health Organization's guidelines. Whole-day interventions (i.e., interventions implemented throughout the day) can increase physical activity (PA) levels throughout the day to meet these guidelines. However, there are no known behavior-analytic studies examining the effectiveness of whole-day interventions for increasing PA levels in adolescents diagnosed with ASD in both the short- and long-term. Two adolescent boys diagnosed with ASD and their mother tested the effectiveness of a parent-implemented multicomponent intervention package comprising progressive goal setting, feedback, reinforcement, and self-monitoring to increase whole-day step count. The participants increased their daily step counts to 14,000 steps (which translates to ≥ 60 min/day of MVPA) by the conclusion of the intervention, thus meeting or exceeding PA guidelines. The family then adjusted the procedure to better meet their lifestyle needs, resulting in long-term maintenance of PA above baseline levels at 6- and 11-months post-intervention for one participant, and 11-months post-intervention for the other participant. This study therefore shows the importance of tracking long-term changes in outcomes and understanding factors influencing the sustainability of these outcomes. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-024-00970-w.

Indexed as

AdolescentsAutism spectrum disordersMaintenancePhysical activityWhole-day intervention

Identifiers

PMID40092332
PMCPMC11903969

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.