Evidence map›Paper›PMID 38714958›Full record

ArticleBMC geriatrics2024

Development and validation of the osteoporosis scale among the system of quality of life instruments for chronic diseases QLICD-OS (V2.0).

Qiongling Liu, Lie'e Li, Wanrui Ma, Zheng Yang, Rui Zhao, Caixia Liu, Chonghua Wan

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Longitudinal associations between changes in bone mechanical strength and fracture risk estimated by μFRAC.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  3. 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

7 authors.

Qiongling Liu *The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China.
Lie'e Li *Teaching Management Office of The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, China.
Wanrui MaThe First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China.
Zheng YangResearch Center for Quality of Life and Applied Psychology, Key Laboratory for Quality of Life and Psychological Assessment and Intervention, Guangdong Medical University, Dongguan, 523808, China.
Rui ZhaoDepartment of Nursing, Henan Cancer Hospital, Zhengzhou, 450008, China.
Caixia LiuDepartment of Rehabilitation, Guangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou, 510800, China.
Chonghua WanThe First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China. wanchh@hotmail.com.

Funding

the National Natural Science Foundation of China 71373058
6 · The paper itself

Abstract

backgroundQuality of life of osteoporosis patients had caused widespread concern, due to high incidence and difficulty to cure. Scale specifics for osteoporosis and suitable for Chinese cultural background lacked. This study aimed to develop an osteoporosis scale in Quality of Life Instruments for Chronic Diseases system, namely QLICD-OS (V2.0).

methodsProcedural decision-making approach of nominal group, focus group and modular approach were adopted. Our scale was developed based on experience of establishing scales at home and abroad. In this study, Quality of life measurements were performed on 127 osteoporosis patients before and after treatment to evaluate the psychometric properties. Validity was evaluated by qualitative analysis, item-domain correlation analysis, multi-scaling analysis and factor analysis; the SF-36 scale was used as criterion to carry out correlation analysis for criterion-related validity. The reliability was evaluated by the internal consistency coefficients Cronbach's α, test-retest reliability Pearson correlation r. Paired t-tests were performed on data of ​​the scale before and after treatment, with Standardized Response Mean (SRM) being calculated to evaluate the responsiveness.

resultsThe QLICD-OS, composed of a general module (28 items) and an osteoporosis-specific module (14 items), had good content validity. Correlation analysis and factor analysis confirmed the construct, with the item having a strong correlation (most > 0.40) with its own domains/principle components, and a weak correlation (< 0.40) with other domains/principle components. Correlation coefficient between the similar domains of QLICD-OS and SF-36 showed reasonable criterion-related validity, with all coefficients r being greater than 0.40 exception of physical function of SF-36 and physical domain of QLICD-OS (0.24). Internal consistency reliability of QLICD-OS in all domains was greater than 0.7 except the specific module. The test-retest reliability coefficients (Pearson r) in all domains and overall score are higher than 0.80. Score changes after treatment were statistically significant, with SRM ranging from 0.35 to 0.79, indicating that QLICD-OS could be rated as medium responsiveness.

conclusionAs the first osteoporosis-specific quality of life scale developed by the modular approach in China, the QLICD-OS showed good reliability, validity and medium responsiveness, and could be used to measure quality of life in osteoporosis patients.

Indexed as

OsteoporosisQuality of LifeAgedAged, 80 and overChronic DiseaseFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesOsteoporosisPsychometric propertiesQuality of lifeThe disease-specific module

Identifiers

PMID38714958
PMCPMC11077884

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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.