Unhealthy oral status contributes to the older patients with cognitive frailty: an analysis based on a 5-year database

作者全名："Jiang, Zhiqiong; Liu, Xintong; Lue, Yang"

作者地址："[Jiang, Zhiqiong; Liu, Xintong; Lue, Yang] Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, Chongqing 400016, Peoples R China; [Jiang, Zhiqiong] North Sichuan Med Coll, Dept Geriatr, Affiliated Hosp, Nanchong 637000, Peoples R China"

通信作者："Lue, Y (通讯作者)，Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, Chongqing 400016, Peoples R China."

来源：BMC GERIATRICS

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000900973000001

JCR分区：Q1

影响因子：4.1

年份：2022

卷号：22

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Cognitive frailty; Oral health; Physical frailty; Risk factor

摘要："Background: Oral health is associated with the onset and deterioration of cognitive function and physical frailty, which can be improved with appropriate interventions. However, far too little attention has been paid to oral health status of elderly with cognitive frailty. The objective of this study was to investigate the oral health status and potential risk factors of elderly hospitalized patients aged 60 years or older with cognitive frailty. Methods: The participants' assessment data derived from the Comprehensive Geriatric Assessment Database of hospitalized patients from The First Affiliated Hospital of Chongqing Medical University. Data were collected from April 2016 to December 2021. All participants underwent a face-to-face assessment conducted by professional evaluators. Physical frailty was defined by Fried's criteria. Cognitive function was assessed by Mini Mental State Examination (MMSE). The cognitive frailty is characterized by the simultaneous presence of at least 1 Fried's criteria and mild cognitive impairment according to Diagnostic and Statistical Manual of Mental Disorders 5th edition. The oral health was assessed according to 10-item Brief Oral Health Status Examination (BOHSE). The general demographic characteristics, BOHSE scores were compared between the cognitive frailty and non-cognitive frailty (control group). The score of BOHSE and ten items were included in the binary logistic regression analysis. The covariate characteristics were adjusted for a final model with a multivariate analysis. Results: A total of 425 patients (245 females) with cognitive frailty and 491 patients (283 females) with non-cognitive frailty were enrolled in this retrospective study. Univariate analysis showed statistically significant differences in age, education level, living arrangement, diabetes, Body Mass Index (BMI), Pittsburgh Sleep Quality Index (PSQI), depression between the two groups. The total BOHSE score of cognitive frailty was higher than that of the control group (4.35 & PLUSMN; 2.68 vs. 3.64 & PLUSMN; 2.60, Z = 4.07, P < 0.001). The average scores and the proportions of health changes and unhealthy states of tongue, mucosa tissue, gums, natural teeth, dentures, masticatory teeth and oral hygiene in cognitive frailty were greater than those of the control group (all P < 0.05). The binary logistical regression analysis showed that four or more natural teeth decayed or broken was independently associated with cognitive frailty after adjusting the age, gender, education level, living arrangement and BMI, PSQI, diabetes and depression (OR = 1.91, 95%CI: 1.20-3.07, P = 0.007). Additionally, while in the chewing position, those cases with a normal-occlusal-relationship number of less than 11 pairs had a higher risk of cognitive frailty than those with 12 pairs or more. Conclusions: The oral health status of older hospitalized patients over 60 years with cognitive frailty was worse than that of patients with non-cognitive frailty. But only four or more natural teeth decayed or broken and a reduction in chewing pairs were independent risk factors for cognitive frailty."

基金机构："National Key R&D Program of China; Key Project of Technological Innovation and Application Development of Chongqing Science & Technology Bureau [2018YFC2001700]; Science Innovation Programs Led by the Academicians in Chongqing under Project [CSTC2021jscx-gksb-N0020]; Science and Technol-ogy Research Program Of Chongqing Municipal Education Commission [cstc2020yszx-jscxX0006]; Sub-project of National Science and Technology Support-ing Program of the Ministry of Science, Technology of China [KJQN201900109]; Sichuan Medical Youth Innovation Research Project [2015BAI06B04]; [Q19067]"

基金资助正文："This study was supported by grants from National Key R & D Program of China (2018YFC2001700), Key Project of Technological Innovation and Application Development of Chongqing Science & Technology Bureau (CSTC2021jscx-gksb-N0020), Science Innovation Programs Led by the Academicians in Chongqing under Project (cstc2020yszx-jscxX0006), the Science and Technol-ogy Research Program Of Chongqing Municipal Education Commission (KJQN201900109), Sub-project of National Science and Technology Support-ing Program of the Ministry of Science, Technology of China (2015BAI06B04) and Sichuan Medical Youth Innovation Research Project (No. Q19067)"