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Background: Although poor oral health is a common comorbidity in individuals with airflow limitation (AFL), few studies have comprehensively evaluated this association. Furthermore, the association between oral health and the severity of AFL has not been well elucidated.
Methods: Using a population-based nationwide survey, we classified individuals according to the presence or absence of AFL defined as pre-bronchodilator forced expiratory volume in 1 second/forced vital capacity < 0.7. Using multivariable logistic regression analyses, we evaluated the association between AFL severity and the number of remaining teeth; the presence of periodontitis; the Decayed, Missing, and Filled Teeth (DMFT) index; and denture wearing.
Results: Among the 31,839 participants, 14% had AFL. Compared with the control group, the AFL group had a higher proportion of periodontitis (88.8% vs. 79.4%), complete denture (6.2% vs. 1.6%), and high DMFT index (37.3% vs. 27.8%) ( < 0.001 for all). In multivariable analyses, denture status: removable partial denture (adjusted odds ratio [aOR], 1.12; 95% confidence interval [95% CI], 1.04-1.20) and complete denture (aOR, 1.52; 95% CI, 1.01-2.05), high DMFT index (aOR, 1.13; 95% CI, 1.02-1.24), and fewer permanent teeth (0-19; aOR, 1.32; 95% CI, 1.12-1.52) were significantly associated with AFL. Furthermore, those with severe to very severe AFL had a significantly higher proportion of complete denture (aOR, 2.41; 95% CI, 1.11-3.71) and fewer remaining teeth (0-19; aOR, 2.29; 95% CI, 1.57-3.01).
Conclusion: Denture wearing, high DMFT index, and fewer permanent teeth are significantly associated with AFL. Furthermore, a reduced number of permanent teeth (0-19) was significantly related to the severity of AFL. Therefore, physicians should pay attention to oral health in managing patients with AFL, such as chronic obstructive pulmonary disease.
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http://dx.doi.org/10.3346/jkms.2023.38.e241 | DOI Listing |
Spec Care Dentist
January 2025
Department of Health Services Research and Administration, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Aim: To examine the association of family-centered care (FCC) with oral health indicators among children with special health care needs (CSHCN).
Methods: Data includes the CSHCN population from the 2017 to 2019 National Survey of Children's Health (NSCH). Four parent- and caregiver-reported binary oral health outcomes were assessed: preventive dental visits (PDVs), cavities, condition of teeth, and oral health problems.
J Dent Educ
September 2025
Oral Medicine and Maxillofacial Radiology, College of Dentistry and Health Sciences, Fujairah University, Fujairah, UAE.
Nutr J
September 2025
Department of Geriatric, The First Hospital of China Medical University, No. 155 Nanjing North Street, Heping Ward, Shenyang, 110001, China.
Objective: This study analyzed data from the US population to examine how oral microbiome diversity and diet quality individually and synergistically affect frailty.
Methods: This study included 6,283 participants aged 20 years or older from the 2009-2010 and 2011-2012 NHANES cycles. A frailty index (FI) consisting of 36 items was developed, with items related to nutritional status excluded.
Geroscience
September 2025
Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA) University of Amsterdam and Vrije Universiteit Amsterdam, Gustav Mahlerlaan, 3004, 1081 LA, Amsterdam, the Netherlands.
The increasing prevalence of overweight/obesity among the elderly has significant implications for oral health due to shared pathophysiological mechanisms. Despite its importance, comprehensive reviews on this topic remain limited. This study investigates the association between overweight/obesity and oral health outcomes in adults aged 55 and older.
View Article and Find Full Text PDFClin Oral Investig
September 2025
Department of Periodontics, Saveetha Dental College, Saveetha Institute of Medical and Technology Sciences, SIMATS, Saveetha University, Chennai, Tamil Nadu, India.
Objectives: This study aims to assess periodontal and biochemical parameters and evaluate the salivary Protectin D1 levels in periodontitis patients with and without metabolic syndrome after non-surgical periodontal therapy.
Materials And Methods: Forty patients were categorized into two groups: 20 patients in Group P (systemically healthy patients with stage II/III grade B periodontitis) and 20 patients in Group P+MS (patients with stage II/III grade B periodontitis and metabolic syndrome). Parameters including age, gender, height, weight, body mass index, waist circumference, socio-economic status, oral hygiene index (OHI), modified gingival index (MGI), probing pocket depth, clinical attachment levels, fasting blood glucose, HDL-c, total triglycerides, and blood pressure were recorded.