Evidence map›Paper›PMID 42125187›Full record

ReviewSports medicine and health science2026

Affective responses during low-volume high-intensity interval exercise in overweight and obese adults: A systematic review.

Ruohan Zhang, Adam A Malik, Hairul A Hashim

Abstract readReview
In one paragraph

Review in Sports medicine and health science, 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

3 authors.

Ruohan ZhangExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Adam A MalikExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Hairul A HashimExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a global public health challenge, and physical exercise, as a means of increasing energy expenditure, plays a crucial role in its management and reduction. High-intensity interval exercise (HIIE) is gaining popularity as an effective approach for improving physical health. However, its high intensity has been linked to negative emotional and affective responses among adults with excess body weight or adiposity. In this context, low-volume high intensity interval exercise (Lv-HIIE) emerges as a promising alternative to conventional HIIE. Despite its potential benefits, the literature on affective responses to Lv-HIIE in adults with excess body weight or affected by obesity remains limited. Methods: This systematic review (PROSPERO registration no. CRD42024514591) evaluated the affective responses of Lv-HIIE among adults living with excessive weight or obesity. We compared emotional and affective response indicators before, during and after HIIE, moderate-intensity continuous exercise (MICE) and Lv-HIIE. The review adhered to the PRISMA guidelines and Cochrane recommendations, with data obtained from PubMed, Scopus, Web of Science and SPORTDiscus. Results: 20 studies involving 472 participants met the inclusion criteria, with a mean age of (30.44 ​± ​6.93) years and a mean body mass index (BMI) of (30.26 ​± ​4.16) kg·m Conclusion: These improvements reduce exertion during the exercise, fostering enhanced pleasure and enjoyment afterward.

Indexed as

EnjoymentExercise durationExercise intensityPhysical healthPleasurable

Identifiers

PMID42125187
PMCPMC13159446

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Registered trials

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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.