Evidence map›Paper›PMID 34698123›Full record

ArticleEuropean journal of investigation in health, psychology and education2021

Psychometric Testing of the Modified Dental Anxiety Scale among Iranian Adolescents during COVID-19 Pandemic.

Chung-Ying Lin, Maryam Tofangchiha, Janneke F M Scheerman, Santosh Kumar Tadakamadla, Vijay Kumar Chattu, Amir H Pakpour

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Article in European journal of investigation in health, psychology and education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

  1. Methods Helping Dentists to Detect Dental Fear.International dental journal · 2023
    Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chung-Ying LinInstitute of Allied Health Sciences, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan.ORCID 0000-0002-2129-4242
Maryam TofangchihaSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran.ORCID 0000-0002-5515-2189
Janneke F M ScheermanDepartment Oral Hygiene, Inholland University of Applied Sciences, Cluster Health, Sport and Welfare, 1081LA Amsterdam, The Netherlands.
Santosh Kumar TadakamadlaSchool of Medicine and Dentistry & Menzies Health Institute Queensland, Griffith University, Gold Coast 4222, Australia.ORCID 0000-0003-2775-2897
Vijay Kumar ChattuDivision of Occupational Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5C 2CS, Canada.ORCID 0000-0001-9840-8335
Amir H PakpourSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran.ORCID 0000-0002-8798-5345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: The present study aimed to examine the psychometric properties of the Persian adaptation of the Modified Dental Anxiety Scale (MDAS) in Iranian adolescents. (2) Methods: Adolescents with a mean age of 15.10 (n = 3197; 47.1% males) were recruited from Qazvin city of Iran using a stratified cluster random sampling technique. All children completed the five-item Persian MDAS and information related to background characteristics. Psychometric testing was conducted using classical test theory (CTT) and Rasch models. For CTT, an item-total correlation of >0.4 was considered satisfactory while for Rasch analysis, infit and outfit mean squares (Mnsq) ranging from 0.5-1.5 were considered satisfactory. Confirmatory Factor Analysis (CFA) was conducted to confirm the unidimensional structure of MDAS using various fit indices. Differential item functioning (DIF) was evaluated based on gender and time since last dental visit. Moreover, latent class analysis (LCA) was used to classify the participants into different levels of dental fear based on their pattern of responses. Both item level reliability using Cronbachs alpha (α) and test-reliability using intraclass correlation coefficients were evaluated. (3) Results: Item-total correlations ranged from 0.69-0.78, infit MnSq ranged from 0.80 to 1.11 and the range of outfit MnSq was 0.84-1.10. The data confirmed a one-factor structure of MDAS with satisfactory fit indices. DIF analysis indicated that the scale was interpreted similarly across the genders and time since dental visit groups. LCA analysis identified three levels, low, moderate and high levels of dental anxiety. The groups with moderate and high levels of dental anxiety had more females (44.6% and 36.7%) than the group with low level of dental anxiety (18.8%;

Indexed as

adolescentdental anxietydental fearIranpsychometric properties

Identifiers

PMID34698123
PMCPMC8544737

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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.