Tooth loss-related dietary patterns and cognitive impairment in an elderly Japanese population: The Nakajima study

• Published in: PloS one Vol. 13; no. 3; p. e0194504
• Main Authors: Ishimiya, Mai, Nakamura, Hiroyuki, Kobayashi, Yutaka, Noguchi-Shinohara, Moeko, Abe, Chiemi, Dohmoto, Chiaki, Ikeda, Yoshihisa, Tokuno, Kahori, Ooi, Kazuhiro, Yokokawa, Masami, Iwasa, Kazuo, Komai, Kiyonobu, Kawashiri, Shuichi, Yamada, Masahito
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 15.03.2018; Public Library of Science (PLoS)
• Subjects: Aging; Biology and Life Sciences; Biomarkers; Carrots; Cognition; Cognitive ability; Confidence intervals; Correlation; Correlation analysis; Correlation coefficient; Correlation coefficients; Dementia; Diet; Epidemiology; Food groups; Geriatrics; Hyperlipidemia; Impairment; Intakes; Maxillofacial surgery; Medicine and Health Sciences; Neurobiology; Neurology; Neurosciences; Nutrients; Nutrition research; Older people; Oral hygiene; Population; Population studies; Questionnaires; Regression analysis; Research and Analysis Methods; Researchers; Risk factors; Sodium; Statistical analysis; Statistical methods; Studies; Surgery; Teeth; Tooth loss; University graduates; Vegetables; Vitamin B1; Zinc; β-Carotene; Japan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0194504

Although several studies have demonstrated a potential correlation of dietary patterns with cognitive function, the relationship between tooth loss and dietary patterns and cognitive function have not been identified. In this cross-sectional study, we used a reduced rank regression (RRR) analysis, a technique used previously to observe dietary patterns based on the intakes of nutrients or levels of biomarkers associated with the condition of interest, to identify tooth loss-related dietary patterns and investigate the associations of such patterns with cognitive impairment in 334 community-dwelling Japanese subjects aged ≥ 60 years. According to Pearson correlation coefficients, the intakes of six nutrients (ash content, sodium, zinc, vitamin B1, α- and β-carotene) correlated significantly with the number of remaining teeth. Using RRR analysis, we extracted four dietary patterns in our subject population that explained 86.67% of the total variation in the intakes of these six nutrients. Particularly, dietary pattern 1 (DP1) accounted for 52.2% of the total variation. Food groups with factor loadings of ≥ 0.2 included pickled green leafy vegetables, lettuce/cabbage, green leaves vegetables, cabbage, carrots/squash; by contrast, rice had a factor loading of <-0.2. In a multivariate regression analysis, the adjusted odds ratios regarding the prevalence of cognitive impairment for the lowest, middle and highest tertiles of the DP1 score were 1.00 (reference), 1.224 (95% confidence interval [CI]: 0.611-2.453) and 0.427 (95% CI: 0.191-0.954), respectively. To our knowledge, this is the first report to show that tooth loss-related dietary patterns are associated with a high prevalence of cognitive impairment. These results may motivate changes in dental treatment and the dietary behaviours and thereby lower the risk of cognitive impairment.