Evidence mapPaperPMID 36299749Full record

ArticleFrontiers in public health2022

Psychometric evaluation of the healthy aging activity engagement scale.

Tingting Lu, Linghui Kong, Huijun Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Tingting LuDepartment of Nursing, Jinzhou Medical University, Jinzhou, China.
Linghui KongDepartment of Nursing, Jinzhou Medical University, Jinzhou, China.
Huijun ZhangDepartment of Nursing, Jinzhou Medical University, Jinzhou, China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to translate the Healthy Aging Activity Engagement Scale (HAAE) into Chinese and validate its psychometric properties in the middle-aged and elderly population. Methods: A total of 424 middle-aged and elderly people were recruited from China's Jiangsu Province, Liaoning Province, Shandong Province, and Heilongjiang Province. Cronbach's α co-efficient, split-half reliability, and test-retest reliability were used to evaluate the reliability of the translated scale. Expert consultation was used to evaluate the content validity of the translated scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate the structural validity of the scale. Results: The Cronbach's α co-efficient of the Chinese version of HAAE was 0.965 and the Cronbach's α co-efficient of the dimensions ranged from 0.898 to 0.957. The split-half reliability was 0.807, and the test-retest reliability was 0.850. The content validity index of the scale (S-CVI) was 0.969. A total of three common factors were extracted from the EFA. The CFA validated the explored 3-factor structure, and the indicators were fitted well (χ Conclusion: The translated Chinese version of HAAE had suitable reliability and validity in the middle-aged and elderly population. The translated scale will be used to evaluate the level of healthy aging among middle-aged and elderly people in Chinese mainland. Furthermore, it also can provide some health advice for clinical patients.

Indexed as

Healthy AgingAgedFactor Analysis, StatisticalHumansMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairesageddisease preventionfactor analysishealthy aginghealthy lifestyle

Identifiers

PMID36299749
PMCPMC9589164
OpenAlexW4303980911

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.