Evidence map›Paper›PMID 40663793›Full record

Trial reportJournal of medical Internet research2025

Stationary Cycling Exercise With Virtual Reality to Reduce Depressive Symptoms Among People With Mild to Moderate Depression: Randomized Controlled Trial.

Na Zhang, Chenlu Hong, Yuejia Wang, Haiqin Chen, Yueli Zhu, Miao Da, Zhongxia Shen, Xudong Zhao, Jiali Xu, Jiaxiu Sheng and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

12 authors.

Na ZhangHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0000-0002-4836-8205
Chenlu HongSchool of Medicine and Nursing, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-5360-1772
Yuejia WangHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0000-9581-6827
Haiqin ChenHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0002-8644-4552
Yueli ZhuHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0005-5069-2804
Miao DaHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0000-0002-9283-279X
Zhongxia ShenHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0000-0003-3858-4665
Xudong ZhaoHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0000-0001-6738-9709
Jiali XuHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0002-8005-9098
Jiaxiu ShengHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0005-9631-338X
Yanan LuoSchool of Medicine and Nursing, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-7413-6785
Meiying XuHuzhou Third Municipal Hospital, No. 2088 Tiaoxiao East Road, Wuxing District, Huzhou City, Zhejiang Province, Huzhou, Zhejiang, 313000, China, 86 13757289010.ORCID http://orcid.org/0009-0000-9174-7836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Virtual reality (VR) stationary cycling provides a potential solution to enhance adherence and reduce depressive symptoms, particularly for people with depression. However, high-quality evidence is needed to support its implementation in clinical practice. Objective: This study evaluated the clinical effects of a 12-week VR-based stationary cycling program on depressive symptoms in sedentary adults with mild to moderate depression. Methods: This study is a 12-week, 3-arm randomized controlled double-blind trial. Participants (aged 18-60 years) with depression were recruited from a clinic and randomly assigned (1:1:1) to the VR high-intensity stationary cycling, VR moderate-intensity stationary cycling, or non-VR moderate-intensity stationary cycling group to receive face-to-face intervention. The primary outcome was the change in depressive symptoms measured by the Hamilton Depression Rating Scale (HAMD-17) between baseline and 12 weeks. Response rate, remission rate, satisfaction, compliance, and adverse events were assessed post intervention. Outcomes were analyzed using an ITT approach. Results: Between January 2023 and June 2024, a total of 114 participants were enrolled and randomly assigned to 3 groups (38 per group), with 101 completing the trial (33 in non-VR moderate-intensity stationary cycling, 35 in VR moderate-intensity cycling, and 33 in VR high-intensity cycling). All 114 randomly assigned participants were included in the ITT analysis. After the 12-week intervention, all groups showed significant improvements in depressive symptoms, as reflected by the mean difference in HAMD-17 scores within groups from baseline to week 12: non-VR moderate intensity (mean difference within groups: 10.9, 95% CI 9.3-12.5; response rate: 58%, remission rate: 40%); VR moderate intensity (mean difference within groups: 14.2, 95% CI 12.7-15.8; response rate: 84%, remission rate: 74%); and VR high intensity (mean difference within groups: 14.4, 95% CI 13.0-15.8; response rate: 92%, remission rate: 74%). VR-based groups showed greater reductions than the non-VR group (mean difference between groups: 3.3, 95% CI 1.9-4.9, for VR moderate-intensity; mean difference between groups: 3.9, 95% CI 2.5-5.2, for VR high intensity). No significant difference in symptom improvement was found between the 2 VR groups, although the moderate-intensity group reported higher satisfaction. Conclusions: The VR stationary cycling program is an efficacious health intervention for alleviating depressive symptoms in participants with mild to moderate depression. These findings could facilitate incorporating VR health intervention into clinical practice, enhance the response of cycling-based interventions, and improve patient adherence, supporting its use as a complementary treatment for depression.

Indexed as

BicyclingDepressionExercise TherapyVirtual RealityAdolescentAdultDouble-Blind MethodFemaleHumansMaleMiddle AgedYoung Adultadherencecyclingdepressive symptomsexercise therapyrandomized controlled trialvirtual reality

Identifiers

PMID40663793
PMCPMC12283064

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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.