Association Between Oral Frailty and Metrics Derived from Continuous Glucose Monitoring in Older Patients with Type 2 Diabetes

Aims: To investigate the association between oral frailty (OF) and continuous glucose monitoring (CGM)-derived metrics in older patients with type 2 diabetes. Materials and Methods: This cross-sectional study included 93 older outpatients with type 2 diabetes (age 76.9 ± 4.1 years, 55 men) at the diabetes outpatients’ clinic at the National Center for Geriatrics and Gerontology, Japan. OF was assessed using the Oral Frailty Index-8 (OFI-8). CGM-derived metrics included mean sensor glucose (SG), glucose coefficient of variation, percentage values of time in range (%TIR, 70–180 mg/dL), time above range (%TAR), and time below range (%TBR). Multiple linear regression analyses were performed to examine associations between OF and these CGM metrics, with each metric as the dependent variable and OF or individual OFI-8 subitems as the independent variables. Results: In all, 34 older patients (36.6%) had OF. Multiple linear regression analysis found no significant association between OF and CGM-derived metrics or HbA1c. However, the sub-items “How many times do you brush your teeth per day?: <2 times/day” and “Do you visit a dental clinic at least annually?: No” were significantly positively associated with mean SG and %TAR >180 mg/dL, and %TAR >250 mg/dL, and negatively associated with %TIR ( P < 0.05). Conclusions: Poor oral health behaviors in older patients with type 2 diabetes may be linked to CGM-derived hyperglycemic metrics and %TIR, which are not reflected by the HbA1c value.

Authors

Institutions

Publication Details

Journal
Diabetes Technology and Obesity Medicine
Published
2025-10-01
DOI
https://doi.org/10.1177/29986702251385558
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Oral Frailty and Metrics Derived from Continuous Glucose Monitoring in Older Patients with Type 2 Diabetes

Masaharu Murakami, S. Nagai, Yuri Yokoyama, Taiki Sugimoto et al.
Diabetes Technology and Obesity Medicine
Diabetes Management and Research
article

Association Between Oral Frailty and Metrics Derived from Continuous Glucose Monitoring in Older Patients with Type 2 Diabetes

Masaharu Murakami, S. Nagai, Yuri Yokoyama, Taiki Sugimoto, Yoshihiro Kugimiya, Haruhiko Tokuda, Hisashi Satô, Junya Nakamura, Takuya Omura, Takashi Sakurai, Yu Nakano, Kazuaki Uchida, Megumi Moriya, Shuji Kawashima
article en

Abstract

Aims: To investigate the association between oral frailty (OF) and continuous glucose monitoring (CGM)-derived metrics in older patients with type 2 diabetes. Materials and Methods: This cross-sectional study included 93 older outpatients with type 2 diabetes (age 76.9 ± 4.1 years, 55 men) at the diabetes outpatients’ clinic at the National Center for Geriatrics and Gerontology, Japan. OF was assessed using the Oral Frailty Index-8 (OFI-8). CGM-derived metrics included mean sensor glucose (SG), glucose coefficient of variation, percentage values of time in range (%TIR, 70–180 mg/dL), time above range (%TAR), and time below range (%TBR). Multiple linear regression analyses were performed to examine associations between OF and these CGM metrics, with each metric as the dependent variable and OF or individual OFI-8 subitems as the independent variables. Results: In all, 34 older patients (36.6%) had OF. Multiple linear regression analysis found no significant association between OF and CGM-derived metrics or HbA1c. However, the sub-items “How many times do you brush your teeth per day?: <2 times/day” and “Do you visit a dental clinic at least annually?: No” were significantly positively associated with mean SG and %TAR >180 mg/dL, and %TAR >250 mg/dL, and negatively associated with %TIR ( P < 0.05). Conclusions: Poor oral health behaviors in older patients with type 2 diabetes may be linked to CGM-derived hyperglycemic metrics and %TIR, which are not reflected by the HbA1c value.

Diabetes Technology and Obesity MedicineVol. 1(1)
National Center for Geriatrics and Gerontology (JP)
Openalex Percentile: Top 63%
Diabetes Management and Research
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.