Evidence map›Paper›PMID 40691581›Full record

ArticleHealth and quality of life outcomes2025

Factor structure and trends in SF-12v2 health-related quality of life scores among pre-and post-pandemic samples in Thailand: confirmatory factor analysis and Rasch analysis.

Krittaphas Kangwanrattanakul

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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 citing papers in PubMed.

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5 · Who and what money

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1 author.

Krittaphas KangwanrattanakulDivision of Social and Administrative Pharmacy, Faculty of Pharmaceutical Sciences, Burapha University, 169 Long-Hard Bangsaen Rd, Mueang, 20131, Chonburi, Thailand. krittaphas@buu.ac.th.ORCID http://orcid.org/0000-0002-4921-8508

Funding

Research Grant of Burapha University through National Research Council of Thailand Rx2/2562 and Rx6/2566
6 · The paper itself

Abstract

backgroundThe Thai Short Form Health Survey, version 2 (SF-12v2), is widely used to evaluate health-related quality of life (HRQoL) in Thailand. Lifestyle changes during the COVID-19 pandemic may have influenced how individuals interpreted and responded to SF-12v2 items across pre- and post-pandemic time periods. This study examined differences in mean scores, item interpretations due to differential item functioning (DIF), and factor structure invariance using confirmatory factor analysis (CFA) between the pre- and post-pandemic periods.

methodsData was drawn from two national surveys (n = 1,200 prepandemic; n = 2,000 postpandemic). CFA was conducted on randomly selected subsamples (n = 1,050 prepandemic; n = 1,850 postpandemic), with 150 participants per group reserved for DIF analyses using two-way ANOVA. Subscale score differences were assessed using generalized linear models.

resultsThe CFA confirmed the two-factor model (PCS and MCS). Older participants and those with comorbidities scored significantly lower on physical subscales (PF, RP, BP, GH, and PCS), while only comorbid participants reported significantly lower on SF and RE subscales (all p < 0.05). A non-uniform DIF was observed for PF and PCS against dataset, age, and health status, and for MCS against dataset and age.

conclusionsThe SF-12v2 factor structure was stable across time points. Although MCS scores increased after the pandemic, this change may not accurately reflect the impact of COVID-19 due to the absence of participants who had recovered from the infection. To improve generalizability, future studies should include COVID-19 cases and broader assessments of mental health.

Indexed as

COVID-19Health SurveysQuality of LifeAdolescentAdultAgedFactor Analysis, StatisticalFemaleHealth StatusHumansMaleMiddle AgedPandemicsPsychometricsSARS-CoV-2Surveys and QuestionnairesCFACOVID-19 pandemicRasch analysisSF-12v2Thailand

Identifiers

PMID40691581
PMCPMC12281689

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LicenceCC BY-NC-ND
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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.