Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A data-driven approach identifies subtypes of caries from dental charting
Bristol Dental School, University of Bristol, Bristol, United Kingdom.
Umeå University, Faculty of Medicine, Department of Odontology.
Department of Clinical Sciences, Lund University, Malmö, Sweden; Public Dental Service of Skåne, Lund, Sweden.
Umeå University, Faculty of Medicine, Department of Odontology.ORCID iD: 0000-0001-6184-8951
Show others and affiliations
2025 (English)In: Community Dentistry and Oral Epidemiology, ISSN 0301-5661, E-ISSN 1600-0528, Vol. 53, no 1, p. 69-76Article in journal (Refereed) Published
Abstract [en]

Objectives: The objectives were to: (i) assess the accuracy of dental data for adults obtained from the Swedish Quality Register on Caries and Periodontitis (SKaPa); (ii) explore whether Latent Class Analysis (LCA) can identify groups of people based on caries data; and (iii) characterise the dental, medical and behavioural characteristics of people in the LCA-derived classes.

Methods: Caries data from the SKaPa register were compared with clinical data collected by five experienced dentists in a nested subgroup of the Malmö Offspring Study (MOS), namely the Malmö Offspring Dental Study (MODS) (n = 724) for validation. Dental data from SKaPa were then used to classify 61 984 adult participants of the Västerbotten Intervention Programme (VIP) into five classes using LCA and DMFS-based quintile ranking, respectively. Dental status (including caries progression over 5 years), medical, anthropometric and behavioural characteristics were compared between the groups. Analyses were replicated in 2767 adults in the MOS.

Results: DMFS-scores and number of teeth recorded within −2 to +2 years showed excellent agreement between the SKaPa and reference data with intra-class correlations > 0.90. The five LCA classes differed in mean DMFS from 10.0 to 94.4. There were strong associations between LCA class and health, and health and behavioural measures respectively, including some associations that were not detected using DMFS-ranked quintile groups. LCA class was associated with incremental change in DMFS, DFS, and number of teeth. The results in the MOS cohort were consistent with the results in the VIP cohort.

Conclusions: Dental data for adults from the SKaPa registry were considered accurate within 2 years of recording. The LCA approach can classify participants into caries subtypes based on dental charting. These groups differ in health and behavioural characteristics and future caries increment. The LCA approach may capture some information that is missing from DMFS-ranked quintile groups, but is also heavily influenced by total DMFS, meaning that applying LCA in cumulative, highly age-determined diseases, such as caries, is a challenge.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 53, no 1, p. 69-76
Keywords [en]
caries, dental register, latent class analysis, phenotype-wide association study, Sweden
National Category
Dentistry
Identifiers
URN: urn:nbn:se:umu:diva-231386DOI: 10.1111/cdoe.13014ISI: 001337576100001PubMedID: 39435997Scopus ID: 2-s2.0-85207303274OAI: oai:DiVA.org:umu-231386DiVA, id: diva2:1910157
Funder
Swedish Research Council, 2020–00930Swedish Patent Revenue Fund for Research in Preventive Odontology, 2018–001Region VästerbottenWellcome trust, 227 534/Z/23/ZThe Crafoord FoundationAlbert Påhlsson foundationSwedish Research CouncilSwedish Heart Lung FoundationAvailable from: 2024-11-04 Created: 2024-11-04 Last updated: 2025-05-09Bibliographically approved

Open Access in DiVA

fulltext(2846 kB)2 downloads
File information
File name FULLTEXT02.pdfFile size 2846 kBChecksum SHA-512
2033e1db31f708a7d31d7aa29942c9e13fb24f1b6ad3299de66bf89d5cbac710d14ec19637e78685157fe9dcefb44d7bacb8cab487baff3bd0096e2cd2da2562
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Kastenbom, LisaFries, NiklasEsberg, AndersJohansson, Ingegerd

Search in DiVA

By author/editor
Kastenbom, LisaFries, NiklasEsberg, AndersJohansson, Ingegerd
By organisation
Department of Odontology
In the same journal
Community Dentistry and Oral Epidemiology
Dentistry

Search outside of DiVA

GoogleGoogle Scholar
Total: 55 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 318 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf