PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 28, 2026Indian Journal of Dental Research0 citationsOpen Access

Common risk factor approach in practice: Barriers, awareness, and risk profiling for NCDs and periodontal disease

View Full Paper
PLP LakshmiManipal Academy of Higher EducationCJChandrashekar JanakiramAmrita Institute of Medical Sciences and Research Centre

Key Points

  • Examine barriers, awareness, and risk profiling related to the Common Risk Factor Approach (CRFA) for non-communicable diseases (NCDs) and periodontal disease.
  • KAP survey of 440 medical and dental practitioners
  • Interviews to assess perceptions and experiences
  • Cross-sectional study of 600 participants categorized by disease prevalence
  • High awareness of shared risk factors among practitioners
  • Limited CRFA implementation due to time and resource constraints
  • Common predictors include age over 50, obesity, and certain health metrics like HbA1c and triglycerides

Abstract

Introduction: Periodontal disease (PD) shares risk factors with NCDs. CRFA can enable integrated prevention but faces implementation barriers. Methods: Mixed-methods: KAP survey among 440 medical/dental practitioners and interviews; hospital-based cross-sectional analytical study with 600 participants categorized into NCD+PD, NCD only, PD only. Results: High awareness but limited CRFA implementation due to time/resources and lack of integrated systems. Shared predictors: age >50, education, obesity, HbA1c ≥6.5%, triglycerides >150 mg/dL. Poor oral hygiene predicted PD; family history and dyslipidaemia predicted NCDs. Conclusions: CRFA integration into NCD programs is recommended, with interdisciplinary training, infrastructure investment, and policy support to improve population health.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lakshmi et al. (2026) studied this question.

synapsesocial.com/papers/69c771988bbfbc51511e19a0https://doi.org/10.4103/ijdr_202637s1_abs_43
Ask AI
Helpful
Bookmark
Share
View Full Paper