Cited by 36Mindfulness and Compassion InterventionsCancer survivorship and careDigital Mental Health Interventions

Effectiveness of online mindfulness-based interventions for cancer patients: a systematic review and meta-analysis

Fan, Meiling, Wang, Yang, Zheng, Lufang, Cui, Miao, Zhou, Xiuling, Liu, Zengxia·2023·Japanese Journal of Clinical Oncology

Abstract

PURPOSE: Cancer is the second leading cause of mortality worldwide. Cancer negatively affects individuals' quality of life and overall health. Mindfulness-based interventions appear to be promising in the reduction of cancer- and treatment-related symptoms. This review aimed to determine the effectiveness of online mindfulness-based interventions on distress, anxiety, depression, stress, mindfulness, sleep disturbance, quality of life, rumination, fear of cancer recurrence, fatigue and post-traumatic growth among adult cancer patients. METHODS: A literature search was conducted across five electronic databases. Only randomized controlled trials were eligible. Two reviewers independently screened the studies, extracted data, and performed quality assessment using the Cochrane risk of bias assessment tool. Meta-analyses were conducted using review manager software, and standardized mean difference was used to determine intervention effects. Heterogeneity was examined using the I2 statistics. RESULTS: Ten studies were included with a total of 962 participants. Analyses revealed that online mindfulness-based interventions was effective in reducing distress (I2 = 98%;standardized mean difference = -2.21,95% confidence interval: -3.84 to 0.57;P = 0.008), depression (I2 = 45%;standardized mean difference = -0.33,95% confidence interval: -0.64 to -0.03;P = 0.03), stress (I2 = 97%;standardized mean difference = -2.14,95% confidence interval: -4.24 to -0.03;P = 0.05) and sleep disturbance (I2 = 54%;standardized mean difference = -0.30,95% confidence interval: -0.59 to -0.01;P = 0.04), and improving quality of life (I2 = 94%;standardized mean difference = 0.92,95% confidence interval: 0.09-1.76;P = 0.03). The online mindfulness-based interventions had no significant effects on anxiety, mindfulness, rumination, fear of cancer recurrence, fatigue and post-traumatic growth. Subgroup analyses revealed that online mindfulness-based interventions resulted in higher effect sizes for distress when delivered by website than application, significantly higher effect sizes were also found for online mindfulness-based interventions with guidance, but not on treatment or cancer type. For sleep disturbance, and quality of life, no significant differences between subgroups were found. CONCLUSION: These results provide preliminary support that online mindfulness-based interventions may be feasible and acceptable, which can be used as an adjuvant therapy for the management of cancer-related symptoms among cancer patients.

Integrity signals

Registry

Crossref · 10.1093/jjco/hyad101

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Fan, M., Wang, Y., Zheng, L., Cui, M., Zhou, X., & Liu, Z.
Affiliations
  • Changchun University of Chinese Medicine (CN)
  • Jilin University (CN)
  • Anhui Medical University (CN)
Corresponding author
  • Zhou, Xiuling
  • Liu, Zengxia
Venue
Japanese Journal of Clinical Oncology
Published
2023-08-11
Volume
53
Issue
11
Pages
1068-1076
ISSN
  • 0368-2811 (ISSN-L)
  • 1465-3621
OpenAlex
W4385755631
Cited by
36
References
49
Citations by year
2026: 13 · 2025: 17 · 2024: 6
FWCI
1.84
Type
journal article
Language
en
Open access
closed
Locations
  • Japanese Journal of Clinical Oncology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
cancer patients, distress, depression, stress, anxiety, sleep disorders, quality of life, mindfulness, rumination, fear of cancer recurrence, fatigue, posttraumatic growth, mobile application, psychological well-being, cancer symptoms, quality of life interventions, cancer survivorship
MeSH terms
Adult, Anxiety, Fatigue, Humans, Neoplasms, Quality of Life, Sleep Wake Disorders, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review