| Title |
Longitudinal measurement invariance and explanatory IRT models for adolescents’ oral health-related quality of life
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, April 2018
|
| DOI | 10.1186/s12955-018-0879-x |
| Pubmed ID | |
| Authors |
David T. W. Yau, May C. M. Wong, K. F. Lam, Colman McGrath |
| Abstract |
Longitudinal invariance is a perquisite for a valid comparison of oral health-related quality of life (OHRQoL) scores over time. Item response theory (IRT) models can assess measurement invariance and allow better estimation of the associations between predictors and latent construct. By extending IRT models, this study aimed to investigate the longitudinal invariance of the two 8-item short forms of the Child Perception Questionnaire (CPQ11-14) regression short form (RSF:8) and item-impact short form (ISF:8) and identify factors associated with adolescents' OHRQoL and its change. All students from S1 and S2 (equivalent to US grades 6 and 7) who were born in April 1997 and May 1997 (at age 12) from 45 randomly selected secondary schools were invited to participate in this study and followed up after 3 years. Data on the CPQ11-14 RSF:8 and CPQ11-14 ISF:8, demographics, oral health behavior and status were collected. Explanatory graded response models were fitted to both short forms of the CPQ11-14 data for assessing longitudinal invariance and factors associated with OHRQoL. The Bayesian estimation method - Monte Carlo Markov Chain (MCMC) with Gibbs sampling was adopted for parameter estimation and the credible intervals were used for inference. Data from 649 children at age 12 at baseline and 415 children at age 15 at follow up were analyzed. For the 12 years old children, healthier oral health behavior, better gum status, families with both parents employed and parents' education level were found to be associated with better OHRQoL. Four items among the 2 short forms lacked longitudinal invariance. With statistical adjustment of longitudinal invariance, OHRQoL were found improved in general over the 3 years but no predictor was associated with OHRQoL in follow-up. For those with decreased family income, their OHRQoL had worsened over 3 years. IRT explanatory analysis enables a more valid identification of the factors associated with OHRQoL and its changes over time. It provides important information to oral healthcare researchers and policymakers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 18 | 23% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 19% |
| Nursing and Health Professions | 10 | 13% |
| Social Sciences | 7 | 9% |
| Psychology | 6 | 8% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 31 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#3,970,640
of 23,041,514 outputs
Outputs from Health and Quality of Life Outcomes
#397
of 2,188 outputs
Outputs of similar age
#78,184
of 329,169 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#30
of 65 outputs
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