Evidence map›Paper›PMID 39415885›Full record

ArticleFrontiers in psychiatry2024

Mindfulness-based relapse prevention targeting psychological craving and trait mindfulness in young Chinese women with methamphetamine dependence: a randomized controlled trial.

Xuan Liu, Yidan Zhang, Hongxin Cheng, Honglin Dong, Yuting You, Yuxi Wu, Chunli Yang, Lushi Jing

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Xuan LiuSchool of Psychology, Chengdu Medical College, Chengdu, China.
Yidan ZhangSchool of Psychology, Chengdu Medical College, Chengdu, China.
Hongxin ChengSchool of Psychology, Chengdu Medical College, Chengdu, China.
Honglin DongSchool of Psychology, Chengdu Medical College, Chengdu, China.
Yuting YouSchool of Psychology, Chengdu Medical College, Chengdu, China.
Yuxi WuSichuan Women's Compulsory Isolation Drug Treatment Center, Deyang, Sichuan, China.
Chunli YangSichuan Women's Compulsory Isolation Drug Treatment Center, Deyang, Sichuan, China.
Lushi JingSchool of Psychology, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: We recruited 58 MA-dependent young adult females from a compulsory isolation drug rehabilitation center in Sichuan Province and randomly divided them into an MBRP group (n = 29) and a control group (n = 29) according to their degree of psychological craving. The MBRP group received 2 hours of MBRP training twice a week for 4 weeks, alongside routine treatment at the drug rehabilitation center. Meanwhile, the control group solely received routine treatment at the drug rehabilitation center without any additional interventions. The assessment was conducted before and immediately after the intervention, with the Compulsive Drug Use Scale (OCDUS) used to assess craving and the Five-Factor Mindfulness Scale (FFMQ) used to assess trait mindfulness. Also, a "mental feedback monitoring balance" instrument was used to assess concentration and relaxation during some training sessions. This randomized trial was conducted to evaluate the effectiveness of decreasing psychological craving and increasing trait mindfulness. Results: At baseline, there were no significant differences in total or dimension scores for FFMQ or OCDUS between the two groups (all Conclusion: MBRP training can improve the trait mindfulness of MA addicts and reduce psychological cravings effectively.

Indexed as

femaleMA-dependentMBRPpsychological cravingyoung adult

Identifiers

PMID39415885
PMCPMC11481037

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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.