Evidence map›Paper›PMID 37854242›Full record

ArticleFrontiers in public health2023

Examining the factor structure and validity of the WHOQOL-AGE among the oldest-old Chinese in Singapore.

Grand H-L Cheng, QiuShi Feng, Yap-Seng Chong, Woon-Puay Koh

Abstract read
In one paragraph

Article in Frontiers in public health, 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. The SG90 cohort of the oldest-old in Singapore.European journal of epidemiology · 2025
    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.

Grand H-L ChengDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
QiuShi FengDepartment of Sociology, National University of Singapore, Singapore, Singapore.
Yap-Seng ChongDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Woon-Puay KohSingapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: A short measure of quality of life in old age is essential. The present study examined the factor structure and validity of the 13-item WHOQOL-AGE among the oldest-old. Methods: Data came from 1,000 Chinese aged ≥85 years in Singapore. Exploratory and confirmatory factor analyzes were conducted on the WHOQOL-AGE. Regression examined the demographic, social and health correlates of the identified factors. Results: Factor analyzes suggested a bifactor model of the WHOQOL-AGE, which comprised three specific factors, namely "health," "environment" and "mastery," in addition to the general factor ("overall"). Partial scalar invariance (concerning only one item) and scalar invariance were established across gender and education level respectively, generally supporting the measurement invariance of this model. Regression results demonstrated known-groups validity. Health correlates were more predictive of "health" than "environment" and "mastery," with more basic and instrumental activities of daily living, lower depressive symptomatology and fewer falls positively relating to "health." Strength of social network and social engagement (social correlates) positively related to "environment" and "mastery" but not "health." Conclusion: The WHOQOL-AGE exhibits a bifactor structure and known-groups validity among the oldest-old Chinese in Singapore. It seems useful to capture different facets of quality of life in the concerned population.

Indexed as

Activities of Daily LivingQuality of LifeAged, 80 and overEast Asian PeopleHumansPsychometricsReproducibility of ResultsSingaporeSurveys and QuestionnairesChinesefactor analysisoldest-oldquality of lifeSingaporevalidityWHOQOL-AGE

Identifiers

PMID37854242
PMCPMC10581834

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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.