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Izumi M, Sonoki K, Akifusa S. Tongue brushing enhances the myoelectric activity of the suprahyoid muscles in older adults: a six-week randomized controlled trial. Sci Rep 2024; 14:19746. [PMID: 39187550 PMCID: PMC11347627 DOI: 10.1038/s41598-024-70306-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 08/14/2024] [Indexed: 08/28/2024] Open
Abstract
Tongue brushing improves respiratory function in older adults. Considering connection between the respiratory-related and suprahyoid muscles, this study aimed to investigate whether tongue-brushing interventions can improve myoelectric activity during respiration. A six-week randomized controlled trial was conducted in Kitakyushu, Japan, with 50 participants aged ≥ 65 years. The participants were allocated to the intervention (tongue brushing with routine oral hygiene) or control (routine oral hygiene alone) groups. Surface electromyography (sEMG) was used to assess the myoelectric activity of the suprahyoid muscles during inhalation, exhalation, and forced vital capacity (FVC). A survey was conducted at baseline and the end of the follow-up period. Thirty-six participants were recruited for the analysis. The root mean squares (RMS) of sEMG during exhalation increased significantly at the end of the follow-up period compared with that at baseline in the intervention group [48.7 (18.0-177.5) vs. 64.9 (21.6-163.0), p = 0.001], but not in the control group. The generalized linear model revealed that the ratio of change in FVC was correlated with the change in the RMS of sEMG of the suprahyoid muscles during exhalation after adjusting for potential confounders. Tongue brushing enhances the myoelectric activity of the suprahyoid muscle.
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Affiliation(s)
- Maya Izumi
- School of Oral Health Sciences, Faculty of Dentistry, Kyushu Dental University, Kitakyushu, Japan
| | - Kazuo Sonoki
- School of Oral Health Sciences, Faculty of Dentistry, Kyushu Dental University, Kitakyushu, Japan
| | - Sumio Akifusa
- School of Oral Health Sciences, Faculty of Dentistry, Kyushu Dental University, Kitakyushu, Japan.
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Tanaka K, Kikutani T, Takahashi N, Tohara T, Furuya H, Ichikawa Y, Komagata Y, Mizukoshi A, Ozeki M, Tamura F, Tominaga T. A prospective cohort study on factors related to dental care and continuation of care for older adults receiving home medical care. Odontology 2024:10.1007/s10266-024-00984-4. [PMID: 39141260 DOI: 10.1007/s10266-024-00984-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 07/17/2024] [Indexed: 08/15/2024]
Abstract
Information on the effects of dental treatment must be identified and factors that hinder the continuation of dental treatment must be identified to provide appropriate domiciliary dental care (DDC). This study aimed to clarify the treatment outcomes of DDC for older adults and the factors that impede the continuation of such care. This prospective study was conducted at a Japanese clinic specializing in dental care for older adults. The functional status, nutritional status, oral assessment, details of the dental treatment, and outcomes after 6 months of older adults receiving DDC were surveyed. The Oral Health Assessment Tool (OHAT) was used for oral assessment. Cox proportional hazards analysis was used to analyze the factors at the first visit that were associated with treatment continuation. A total of 72 participants (mean age, 85.8 ± 6.9) were included. Twenty-three participants (31.9%) could not continue treatment after 6 months. The most frequently performed procedures were oral care and dysphagia rehabilitation, followed by prosthetic treatment, then tooth extraction. The percentage of participants with teeth that required extraction after 6 months and the total OHAT score decreased significantly. The Barthel Index, Mini Nutritional Assessment Short-Form, and rinsing ability were significantly associated with treatment continuation. Furthermore, instrumental activities of daily living (ADL) and the OHAT "tongue" sub-item were correlated with treatment continuation. In conclusion, DDC improved the oral health status of older adults after 6 months. Factors that impeded treatment continuation were decreased ADL, decreased nutritional status, difficulty in rinsing, and changes in the tongue such as tongue coating.
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Affiliation(s)
- Kumi Tanaka
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Takeshi Kikutani
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan.
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan.
| | - Noriaki Takahashi
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Takashi Tohara
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Hiroyasu Furuya
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Yoko Ichikawa
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Yuka Komagata
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
| | - Arato Mizukoshi
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
| | - Maiko Ozeki
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
| | - Fumiyo Tamura
- The Nippon Dental University, Tama Oral Rehabilitation Clinic, 4-44-19 Higashi-cho, Koganei-city, Tokyo, 184-0011, Japan
- Division of Rehabilitation for Speech and Swallowing Disorders, The Nippon Dental University, Tokyo, Japan
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3
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Wu S, Li L, Wang X, Yan Z. Response to the letter to the editor. Oral Dis 2024. [PMID: 38923630 DOI: 10.1111/odi.15049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024]
Affiliation(s)
- Shuangshuang Wu
- Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
| | - Linman Li
- Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
| | - Xu Wang
- Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
| | - Zhimin Yan
- Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
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Han X, Bai Z, Mogushi K, Hase T, Takeuchi K, Iida Y, Sumita YI, Wakabayashi N. Machine Learning Prediction of Tongue Pressure in Elderly Patients with Head and Neck Tumor: A Cross-Sectional Study. J Clin Med 2024; 13:2363. [PMID: 38673635 PMCID: PMC11051183 DOI: 10.3390/jcm13082363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/05/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
Background: This investigation sought to cross validate the predictors of tongue pressure recovery in elderly patients' post-treatment for head and neck tumors, leveraging advanced machine learning techniques. Methods: By employing logistic regression, support vector regression, random forest, and extreme gradient boosting, the study analyzed an array of variables including patient demographics, surgery types, dental health status, and age, drawn from comprehensive medical records and direct tongue pressure assessments. Results: Among the models, logistic regression emerged as the most effective, demonstrating an accuracy of 0.630 [95% confidence interval (CI): 0.370-0.778], F1 score of 0.688 [95% confidence interval (CI): 0.435-0.853], precision of 0.611 [95% confidence interval (CI): 0.313-0.801], recall of 0.786 [95% confidence interval (CI): 0.413-0.938] and an area under the receiver operating characteristic curve of 0.626 [95% confidence interval (CI): 0.409-0.806]. This model distinctly highlighted the significance of glossectomy (p = 0.039), the presence of functional teeth (p = 0.043), and the patient's age (p = 0.044) as pivotal factors influencing tongue pressure, setting the threshold for statistical significance at p < 0.05. Conclusions: The analysis underscored the critical role of glossectomy, the presence of functional natural teeth, and age as determinants of tongue pressure in logistics regression, with the presence of natural teeth and the tumor site located in the tongue consistently emerging as the key predictors across all computational models employed in this study.
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Affiliation(s)
- Xuewei Han
- Department of Advanced Prosthodontics, Graduate School, Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (X.H.); (Z.B.); (N.W.)
| | - Ziyi Bai
- Department of Advanced Prosthodontics, Graduate School, Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (X.H.); (Z.B.); (N.W.)
| | - Kaoru Mogushi
- Institute of Education, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (K.M.); (T.H.)
| | - Takeshi Hase
- Institute of Education, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (K.M.); (T.H.)
- Faculty of Pharmacy, Keio University, Tokyo 1088345, Japan
- Center for Mathematical Modelling and Data Science, Osaka University, Osaka 5608531, Japan
- The Systems Biology Institute, Tokyo 1410022, Japan
| | - Katsuyuki Takeuchi
- Institute of Education, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (K.M.); (T.H.)
| | - Yoritsugu Iida
- Institute of Education, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (K.M.); (T.H.)
| | - Yuka I. Sumita
- Department of Advanced Prosthodontics, Graduate School, Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (X.H.); (Z.B.); (N.W.)
- Department of Partial and Complete Denture, The Nippon Dental University School of Life Dentistry, Tokyo 1028159, Japan
| | - Noriyuki Wakabayashi
- Department of Advanced Prosthodontics, Graduate School, Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 1138510, Japan; (X.H.); (Z.B.); (N.W.)
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Stone M, Lukaczer D, D’Adamo CR, Dotson N, Volkov A, Minich D, Metti D, Leary M, Class M, Carullo M, Lundquist E, Eck B, Ordovas J, Lamb J, Bland J. LIFEHOUSE’s Functional Nutrition Examination (Physical Exam, Anthropometrics, and Selected Biomarkers) Informs Personalized Wellness Interventions. J Pers Med 2023; 13:jpm13040594. [PMID: 37108980 PMCID: PMC10145881 DOI: 10.3390/jpm13040594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/31/2023] Open
Abstract
Each individual has a unique and interacting set of genetic, lifestyle, and environmental factors that are reflected in their physical exam and laboratory biomarkers and significantly impact their experience of health. Patterns of nutrient deficiency signs and biomarker levels below health-promoting thresholds have been identified in national nutrition surveys. However, identifying these patterns remains a challenge in clinical medicine for many reasons, including clinician training and education, clinical time restraints, and the belief that these signs are both rare and recognizable only in cases of severe nutritional deficiencies. With an increased interest in prevention and limited resources for comprehensive diagnostic evaluations, a functional nutrition evaluation may augment patient-centered screening evaluations and personalized wellness programs. During LIFEHOUSE, we have documented physical exam, anthropometric, and biomarker findings that may increase the recognition of these wellness-challenging patterns in a population of 369 adult employees working in two occupational areas: administrative/sales and manufacturing/warehouse. Distinct and significant physical exam differences and constellations of biomarker abnormalities were identified. We present these patterns of physical exam findings, anthropometrics, and advanced biomarkers to assist clinicians in diagnostic and therapeutic interventions that may stem the loss of function that precedes the development of the non-communicable chronic diseases of aging.
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Axelsson M, Bahtsevani C, Neziraj M, Persson K, Kumlien C. A registry study of oral health problems and preventive interventions among older persons receiving municipal healthcare - PROSENIOR. Nurs Open 2023; 10:525-534. [PMID: 36631732 PMCID: PMC9834176 DOI: 10.1002/nop2.1318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/01/2022] [Accepted: 07/15/2022] [Indexed: 01/16/2023] Open
Abstract
AIM The aim was to identify planned and completed preventive interventions among older persons with oral health problems receiving municipal health care. A further aim was to determine the correspondence between oral health problems and planned preventive interventions among older persons with oral health problems receiving municipal health care. DESIGN Cross-sectional register study. METHODS Oral health data from the Swedish national quality registry, Senior Alert, were extracted for 4,024 older persons (≥65 years) receiving municipal health care in a county in Southern Sweden. Data were statistically analysed. RESULTS A large majority of older persons (97.4%) with assessed oral health problems had at least one planned preventive intervention, and approximately three quarters of the planned interventions were completed. There seemed to be a mismatch between type of oral health problems and preventive interventions as not all older persons had a planned preventive intervention related to their specific oral health problem.
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Affiliation(s)
- Malin Axelsson
- Department of Care Science, Faculty of Health and SocietyMalmö UniversityMalmöSweden
| | - Christel Bahtsevani
- Department of Care Science, Faculty of Health and SocietyMalmö UniversityMalmöSweden
| | - Merita Neziraj
- Department of Care Science, Faculty of Health and SocietyMalmö UniversityMalmöSweden
| | - Karin Persson
- Department of Care Science, Faculty of Health and SocietyMalmö UniversityMalmöSweden
| | - Christine Kumlien
- Department of Care Science, Faculty of Health and SocietyMalmö UniversityMalmöSweden
- Department of Cardio‐Thoracic and Vascular SurgerySkåne University HospitalMalmöSweden
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Wei T, Du Y, Hou T, Zhai C, Li Y, Xiao W, Liu K. Association between adverse oral conditions and cognitive impairment: A literature review. Front Public Health 2023; 11:1147026. [PMID: 37089515 PMCID: PMC10117837 DOI: 10.3389/fpubh.2023.1147026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/02/2023] [Indexed: 04/25/2023] Open
Abstract
Oral environment deterioration results from a lack of self-cleaning ability in patients with cognitive dysfunction but is also a risk factor for cognitive dysfunction. Adverse oral conditions can be alleviated and improved through a self-management and medical examination. In this review, the epidemiological evidence of previous studies is integrated to highlight the relationship between periodontitis, tooth loss, oral flora, oral dysfunction and cognitive dysfunction, emphasizing the importance of oral health for cognition. The results show that poor oral condition is associated with cognitive impairment. Although many previous studies have been conducted, there is a lack of higher-level research evidence, different judgment criteria, and conflicting research results. There is a bidirectional relationship between oral health and cognitive dysfunction. A comprehensive analysis of the relationship between oral health and cognitive dysfunction that explores the relationship and takes measures to prevent cognitive dysfunction and control the progression of such diseases is warranted in the future.
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Affiliation(s)
- Tianhao Wei
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Chunjuan Zhai
- Department of Cardiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuqi Li
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Wei Xiao
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Infection Control, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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Wang X, Wang X, Lou Y, Liu J, Huo S, Pang X, Wang W, Wu C, Chen Y, Chen Y, Chen A, Bi F, Xing W, Deng Q, Jia L, Chen J. Constructing tongue coating recognition model using deep transfer learning to assist syndrome diagnosis and its potential in noninvasive ethnopharmacological evaluation. JOURNAL OF ETHNOPHARMACOLOGY 2022; 285:114905. [PMID: 34896205 DOI: 10.1016/j.jep.2021.114905] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Tongue coating has been used as an effective signature of health in traditional Chinese medicine (TCM). The level of greasy coating closely relates to the strength of dampness or pathogenic qi in TCM theory. Previous empirical studies and our systematic review have shown the relation between greasy coating and various diseases, including gastroenteropathy, coronary heart disease, and coronavirus disease 2019 (COVID-19). However, the objective and intelligent greasy coating and related diseases recognition methods are still lacking. The construction of the artificial intelligent tongue recognition models may provide important syndrome diagnosis and efficacy evaluation methods, and contribute to the understanding of ethnopharmacological mechanisms based on TCM theory. AIM OF THE STUDY The present study aimed to develop an artificial intelligent model for greasy tongue coating recognition and explore its application in COVID-19. MATERIALS AND METHODS Herein, we developed greasy tongue coating recognition networks (GreasyCoatNet) using convolutional neural network technique and a relatively large (N = 1486) set of tongue images from standard devices. Tests were performed using both cross-validation procedures and a new dataset (N = 50) captured by common cameras. Besides, the accuracy and time efficiency comparisons between the GreasyCoatNet and doctors were also conducted. Finally, the model was transferred to recognize the greasy coating level of COVID-19. RESULTS The overall accuracy in 3-level greasy coating classification with cross-validation was 88.8% and accuracy on new dataset was 82.0%, indicating that GreasyCoatNet can obtain robust greasy coating estimates from diverse datasets. In addition, we conducted user study to confirm that our GreasyCoatNet outperforms TCM practitioners, yet only consuming roughly 1% of doctors' examination time. Critically, we demonstrated that GreasyCoatNet, along with transfer learning, can construct more proper classifier of COVID-19, compared to directly training classifier on patient versus control datasets. We, therefore, derived a disease-specific deep learning network by finetuning the generic GreasyCoatNet. CONCLUSIONS Our framework may provide an important research paradigm for differentiating tongue characteristics, diagnosing TCM syndrome, tracking disease progression, and evaluating intervention efficacy, exhibiting its unique potential in clinical applications.
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Affiliation(s)
- Xu Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Xinrong Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yanni Lou
- China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jingwei Liu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Shirui Huo
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Xiaohan Pang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Weilu Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Chaoyong Wu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yufeng Chen
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yu Chen
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Aiping Chen
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Fukun Bi
- School of Information Science and Technology, North China University of Technology, Beijing, 100144, China
| | - Weiying Xing
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | | | - Liqun Jia
- China-Japan Friendship Hospital, Beijing, 100029, China.
| | - Jianxin Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China; School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
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