Title

Periodontal severity and metabolic syndrome: A cross-sectional study from a tertiary care hospital in India

Authors

Lata Goyal¹,*, Amandeep Kaur², Yeshwanth Perambudhuru¹, Shubham Sareen³, Arshad Eranhikkal¹, Mehak Gupta¹ & Prabhleen Kaur Brar⁴

Affiliation

¹Department of Dentistry, All India Institute of Medical Sciences, Bathinda, Punjab, India; ²Department of General Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India; ³Department of Periodontics, Oral Health Sciences Centre, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India; ⁴Department of Conservative Dentistry, Postgraduate Institute of Medical Education and Research (PGIMER) , Chandigarh, India; *Corresponding author

Email

Lata Goyal - E-mail: latagoyal83@gmail.com
Amandeep Kaur - E-mail: dramandeepsandhu@gmail.com
Yeshwanth Perambudhuru - E-mail: mb678942@gmail.com
Shubham Sareen - E -mail: shubham725358@gmail.com
Arshad Eranhikkal - E-mail: arshadtkl@gmail.com
Mehak Gupta - E-mail: mehak130199@gmail.com
Prabhleen Kaur Brar - E-mail: prabhleen_brar@yahoo.com

Article Type

Research Article

Date

Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026

Abstract

Periodontitis links to metabolic syndrome (MS) through chronic inflammation affecting teeth-supporting structures. Hence, this cross-sectional study examined 330 metabolic syndrome patients for periodontitis staging, probing depth, attachment loss, teeth count and oral health-related quality of life (OHRQoL). Periodontitis prevalence reached 74.5%, distributed as 44.5% Stage I, 17% Stage II, 7% Stage III and 6% Stage IV; only raised blood sugar correlated significantly (p=0.036). Average OHRQoL score was 20.88±7.42, worsening beyond 35 in Stages III-IV. Findings advance understanding by quantifying staging-specific OHRQoL decline, supporting targeted periodontal screening in metabolic syndrome.

Keywords

Oral health, hypertension, diabetes, obesity, dyslipidaemia

Citation

Goyal et al. Bioinformation 22(1): 477-481 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.