Evidence map›Paper›PMID 26823674›Full record

ArticleAnnals of general psychiatry2016

Factor structure of the Chinese version of the geriatric anxiety inventory.

Ming Guan

Abstract read
In one paragraph

Article in Annals of general psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Patient and Public Involvement in Action: Shaping an Intergenerational Engagement Intervention in a Long-Term Care Facility in China.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  3. Article
  4. A Cross-National Analysis of the Psychometric Properties of the Geriatric Anxiety Inventory.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
    Article
  5. Article
  6. Review
  7. Adaptation and validation of the "tolerability and quality of life" (TOOL) questionnaire in Chinese bipolar patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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

1 author.

Ming GuanFamily Issues Center, Xuchang University, Xuchang, China ; School of Business, Xuchang University, Xuchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs China's population ages, the mental health of older people has been increasingly focused on by academic circles. PURPOSE: The aim of this study was to identify the factor structure of the Chinese version of the geriatric anxiety inventory (GAI-CV).

methodsThis study used data collected from Investigation on the anxiety symptoms of the elderly in the city of Beijing supported by scientific research fund project of Renmin University of China. Cronbach's α was used to test internal consistency reliability. Both confirmatory and exploratory factor analyses were performed separately for factor analysis.

results1318 subjects with mean age 71.35 ± 7.44 years (male 40.6 %) were involved. Principal components analysis revealed a three-factor structure of the GAI-CV. GAI-CV scales exhibited good internal consistency (Cronbach's α = 0.937) and a three-factor model fit the data well [comparative fit index (CFI) = 0.891, root mean square error of approximation (RMSEA) = 0.084].

conclusionsThe Chinese version of the GAI appears to be reliable and valid to measure anxiety for elderly people in China.

Indexed as

Confirmatory factor analysisFactor structureGAI-CVPrincipal components analysis

Identifiers

PMID26823674
PMCPMC4730632

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