Digital exclusion and incident complete tooth loss among middle-aged and older adults: evidence from CHARLS, HRS and ELSA

The health consequences of digital exclusion among older populations are increasingly recognised, yet its relationship with oral health remains poorly understood. We examined whether older adults who do not use the Internet are more likely to lose all natural teeth over time. We used data from three longitudinal ageing studies—CHARLS, HRS, and ELSA. Participants with at least one natural tooth at baseline were followed for incident complete tooth loss, defined as self-reported loss of all remaining teeth. Digital exclusion was defined as non-use of the Internet at baseline. We fitted generalised estimating equation and linear mixed-effects models, sequentially adjusting for demographic, socioeconomic, living arrangement, and behavioural factors. Among 7,219 (CHARLS), 6,199 (HRS), and 4,392 (ELSA) dentate participants at baseline, 5.4%, 4.9%, and 2.2% progressed to complete tooth loss during follow-up. In fully adjusted models, digitally excluded participants had significantly higher odds of becoming edentulous: CHARLS OR = 1.32 (95% CI = 1.00–1.73), HRS OR = 1.53 (95% CI = 1.14–2.05), and ELSA OR = 1.62 (95% CI = 1.00–2.60). Digital exclusion also predicted faster tooth loss progression across all cohorts, with significant exposure–time interactions ( P < 0.001 for all). Older adults who are digitally excluded face a substantially higher risk of progressing to complete tooth loss. While the observational design precludes causal claims, these findings point to digital inclusion as a potentially relevant consideration for oral health promotion in ageing populations.

Authors

Institutions

Publication Details

Journal
BMC Oral Health
Published
2026-09-01
DOI
https://doi.org/10.1186/s12903-026-09749-7
Primary Topic
Dental Health and Care Utilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital exclusion and incident complete tooth loss among middle-aged and older adults: evidence from CHARLS, HRS and ELSA

Jiaqi Guo, Luming Wei, Heman Pan, Longji Zheng et al.
BMC Oral Health
Dental Health and Care Utilization
article

Digital exclusion and incident complete tooth loss among middle-aged and older adults: evidence from CHARLS, HRS and ELSA

Jiaqi Guo, Luming Wei, Heman Pan, Longji Zheng, Xiaofei Li
article en

Abstract

The health consequences of digital exclusion among older populations are increasingly recognised, yet its relationship with oral health remains poorly understood. We examined whether older adults who do not use the Internet are more likely to lose all natural teeth over time. We used data from three longitudinal ageing studies—CHARLS, HRS, and ELSA. Participants with at least one natural tooth at baseline were followed for incident complete tooth loss, defined as self-reported loss of all remaining teeth. Digital exclusion was defined as non-use of the Internet at baseline. We fitted generalised estimating equation and linear mixed-effects models, sequentially adjusting for demographic, socioeconomic, living arrangement, and behavioural factors. Among 7,219 (CHARLS), 6,199 (HRS), and 4,392 (ELSA) dentate participants at baseline, 5.4%, 4.9%, and 2.2% progressed to complete tooth loss during follow-up. In fully adjusted models, digitally excluded participants had significantly higher odds of becoming edentulous: CHARLS OR = 1.32 (95% CI = 1.00–1.73), HRS OR = 1.53 (95% CI = 1.14–2.05), and ELSA OR = 1.62 (95% CI = 1.00–2.60). Digital exclusion also predicted faster tooth loss progression across all cohorts, with significant exposure–time interactions ( P < 0.001 for all). Older adults who are digitally excluded face a substantially higher risk of progressing to complete tooth loss. While the observational design precludes causal claims, these findings point to digital inclusion as a potentially relevant consideration for oral health promotion in ageing populations.

BMC Oral Health
Beihua University (CN), Xuzhou Medical College (CN), Jilin University (CN)
Reduced inequalities
Openalex Percentile: Top 9%
Dental Health and Care Utilization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.