Evidence map›Paper›PMID 39959951›Full record

ArticleCommunity dentistry and oral epidemiology2025

Using Propensity Score Subclassification to Estimate the Population-Average Causal Effect of Temporomandibular Dysfunction Experience on Oral Health-Related Quality of Life Among Australian Adults.

Kamal Hanna, Ninuk Hariyani, Gloria Mejia, Lisa Jamieson, David S Brennan

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Article in Community dentistry and oral epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kamal HannaAustralian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-2747-5220
Ninuk HariyaniAustralian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
Gloria MejiaAustralian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
Lisa JamiesonAustralian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0001-9839-9280
David S BrennanAustralian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-7888-0920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemporomandibular dysfunction (TMD) experience might impair oral health-related quality of life (OHRQoL). Causal inference using population-based cross-sectional data is challenging given the potential for bias. Propensity Score Subclassification (PS-Subclassification) provides a tool to mitigate confounding bias. The aim of this study was to estimate the Population-Average Treatment Effect (PATE) of having TMD experience among Australian adults on OHRQoL using PS-Subclassification and statistically estimated Minimally Important Differences (MID-S).

methodAustralia's National Survey of Adult Oral Health (NSAOH) 2004-06 data were used which included a Computer Assisted Telephone Interview, mailed questionnaire and oral epidemiological examination. Data included demographics, socioeconomics, caries experience (DMFT index), periodontitis, TMD experience using the TMD Diagnostic Criteria Question, the Oral Health Impact Profile (OHIP-14) and perceived stress. Analysis steps included: (1) generating propensity scores (PS) for TMD experience probability using causal model-derived confounders while incorporating survey design elements; (2) PS-Subclassification and weighting; (3) assessing common support and group balance and (4) estimating the PATE for TMD experience on OHIP-14 overall and domains scores using complex samples GLM.

resultsOf the 4063 NSAOH participants, 397 with TMD and 3656 without TMD were included in PS-Subclassification (all data were used) and shared common support for their PS and established adequate covariate balance (SMD < 0.2). Experiencing TMD had higher OHIP-14 total scores (B = 3.498, 95% CI: 2.218-4.778) with a small MID-S (Cohen's F

conclusionTMD experience impaired the overall OHRQoL measured by the OHIP-14 among Australian adults with a small MID-S. Physical pain and psychological domains were among the highest impaired OHRQoL domains with a small MID-S. Clinicians and policymakers might consider these findings to support TMD screening and patient-centred management.

Indexed as

Oral HealthQuality of LifeTemporomandibular Joint DisordersAdolescentAdultAgedAustraliaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPropensity ScoreSurveys and QuestionnairesYoung Adultcausal inferenceNational Survey of adult Oral healthOHRQoLoral health‐related quality of lifePATEpopulation average treatment effectpropensity score subclassificationtemporomandibular dysfunctionTMDAustralia

Identifiers

PMID39959951
PMCPMC12064876

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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.