Evidence map›Paper›PMID 37497154›Full record

ArticleAsia-Pacific journal of oncology nursing2023

Translation and validation of the Chinese version of the acceptance and action questionnaire for cancer in patients with advanced lung cancer.

Huiyuan Li, Marques Shek Nam Ng, Xiaohuan Jin, Cho Lee Wong

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2023. 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. 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

4 authors.

Huiyuan LiThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Marques Shek Nam NgThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xiaohuan JinThe School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Cho Lee WongThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the reliability and validity of the Chinese version of the Acceptance and Action Questionnaire for Cancer (C-AAQ-Cancer) in patients with advanced lung cancer. Methods: In Phase I, the AAQ-Cancer was translated from English to Chinese. In Phase II, an expert panel was invited to examine the content validity of the translated instrument, and pilot testing was performed. In Phase III, a total of 200 patients with advanced lung cancer from a university-affiliated hospital in central China were recruited to test the construct validity of the translated AAQ-Cancer using exploratory factor analysis, and reliability was assessed based on internal consistency and test-retest reliability. Results: The semantic equivalence and content validity index of the C-AAQ-Cancer were satisfactory. Exploratory factor analysis indicated that the C-AAQ-Cancer contained the following five subscales: cancer concerns, blunting, blame, distancing, and behavioral disengagement. These subscales explain 68.28% of the total variance. The Cronbach's α coefficient of the scale was 0.87, and the test-retest reliability was 0.839. Conclusions: This study evaluated the psychometric properties of the C-AAQ-Cancer. The findings support the reliability and validity of this instrument in evaluating experiential avoidance or acceptance levels in patients with advanced lung cancer.

Indexed as

AcceptanceCancerExperiential avoidanceReliabilityValidity

Identifiers

PMID37497154
PMCPMC10365979

What OpenQuestion holds

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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.