Faculty of Dentisry, the University of Hong Kong
Hong Kong, Hong Kong SAR, 000000
NCT Number: NCT05549648
Hong Kong and Japan are similar in terms of facing the super-ageing society. Maintaining oral function in elderly is particularly important because it affects social, physical and mental health to the people and to the society. By using technology seems to be one of the solutions in dealing with this. Thus, this project aims at using state-of-the-art Age-tech that have been used in Japan to implement "Oral Frailty" concept in Hong Kong. Through identifying oral biomechanical in elderly population, the investigators expect the situation can be improved, and the data analysed and collected can be useful and impactful that can influence the dental communities around Southeast Asia and the globe.
Looking for future studies?
Notify Me50 year–90 year
All sexes
Interventional
Not applicable
Hong Kong, Hong Kong SAR, 000000
In 2020, this is not only a year of pandemic but also the year that the number of "super-aged" countries - where more than one in five of the population is 65 or older - reach to 13 including Japan, Germany, Italy, Netherlands, France, Sweden, Portugal, Slovenia and Croatia. By 2030, the number of countries would increase to 34 including Hong Kong, Korea, the US, the UK and New Zealand [1]. These countries are currently generating 80% of global GDP [2]. So, this 10-15% of super-aged global population is expected to create economic burden around 13-20% of GDP depending on the countries and policies [3], that will indeed severely affect global economy in the future if the ageing problem is not properly treated.
Hong Kong and Japan ranks number 1 and 2, respectively, lowest in 0-14 children population in the high income countries/region [2]. Facing to this low birth rate, according to the "Hong Kong Population Forecast 2020-2069", by 2069, the number of elderly people aged 65 or over in Hong Kong will reach 2.6 million, accounting for about 35.9% of the total population. The labor force between the ages of 15 and 64 will shrink to 3.9 million, accounting for 54.6% of the population [4].
In particular to dentistry, maintaining the oral function in elderly is very important, due to:
Apparently, oral health is important to have healthy aging. The dental personnel play a key role in oral health, in terms of prevention, intervention, and education. In particular, prevention and education are comparatively low-cost strategies while intervention bears the higher cost, as shown in our previous study that countries/regions with better economic status had fewer severe impacts on diet-related aspects of OHRQoL [10]. Besides, our study also showed social and physiological factors "trouble pronouncing words" ranks significantly high similarly as other dietary factors, i.e., "uncomfortable to eat", "diet unsatisfactory" and "interrupt meals" among the developed countries with high economy. Indeed, the loss of teeth, new dental prostheses, and oral muscle dysfunction due to aging are the major contributing factors of pronunciation trouble. This physiological "oral frailty" declines the elder's mental and social health, and should be identified and addressed before the need for long-term care [11].
Utilizing technology to understand this situation deemed possible and "Age-tech" becomes an essential part of health technologies which means applying technology to identify, improve and treat oral frailty situations. The technology can also be useful to monitor and evaluate the efficiency of oral health conditions during this pandemic when the patients have limited mobility around the society.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The current study aimed to evaluate the efficacy and user experience of mobile phone APP, a mobile application with AI component in facial movement tracking, in improving oral functions of elderly people
Time frame: The 1, 30, 90, and 120 days after recruitment. The investigators wanted to see if exercise would help oral muscle performance, there's a lack of data on this, so the investigator couldn't determine a change over time.
The tooth models and occlusion will be taken to record the occlusal contact point, area and distribution, by intra-oral scanner (CEREC Omniscan / 3Shape), which is a standard practice at HKU. The occlusal force (N), occlusal contact area (mm2), maximum occlusal pressure (MPa), average occlusal pressure (MPa) of both sides are measured respectively, using occlusal pressure measurement film (Dental Prescale® II 50H, GC Corp) that is scanned with a dedicated scanner (GT-X830, Epson) with analysis software (Bite force analyzer, GC Corp).
Time frame: The 1, 30, 90, and 120 days after recruitment. The investigators wanted to see if exercise would help oral muscle performance, there's a lack of data on this, so the investigator couldn't determine a change over time.
Gluco sensor (GS-II, GC Corp) will be used to quantitatively analyze the chewing ability
Time frame: The 1, 30, 90, and 120 days after recruitment. The investigators wanted to see if exercise would help oral muscle performance, but there's a lack of data on improving this function, so the investigator couldn't determine a change over time.
Tongue pressure sensor (TPM-02, GC Corp) which indicates the tongue physical function, will be used to record the maximum tongue pressure (MPa) for 3 times of each participant, then tongue endurance will also be measured for 3 times by determining how long tongue could sustain 60% of their maximal pressure.
Time frame: The 1, 30, 90, and 120 days after recruitment.
A Chinese (Cantonese) version of dry mouth questionnaire consisting of 8-item xerostomia questions with a maximum total score of 32 points was used for subjective assessment, using a Likert format rated on a 4-point scale (1 not at all, 4 very much). Participants graded each aspect, with a higher score indicating impaired salivary function
Time frame: The 1, 30, 90, and 120 days after recruitment.
The Chinese-validated version of the Oral Health Impact Profile-14 (OHIP-14) questionnaire was used to assess oral health-related quality of life, using a Likert format rated on a 5-point scale (0 not at all, 4 very much) for 14 questions, higher scores represent the poorer oral condition-related quality of life, with a minimum 0 points and maximum 56 points.
Time frame: The 1, 30, 90, and 120 days after recruitment. The investigators wanted to see if exercise would help oral muscle performance, there's a lack of data on this, so the investigator couldn't determine a change over time.
This was assessed using a questionnaire with EAT-10 and DRACE indicators that can detect the initial risks of dysphagia. A Chinese version of Eat-10, a self-reported outcome instrument on swallowing function, consisted of 10 questions on a 5-point Likert scale, with a minimum of 0 points and a maximum of 40 points. Physical symptoms of chewing and swallowing disorders were assessed via the Dysphagia Risk Assessment of the Community-dwelling elderly persons (DRACE) questionnaire. DRACE, which was translated by the research team, included 12 variables involving chewing, swallowing, coughing problems, etc., based on a 3-level scale from 0 (never occurs) to 2 (occurs frequently), with a minimum of 0 points and a maximum of 24 points. For both questionnaires, higher scores represent poorer swallowing function.
Time frame: The 1, 30, 90, and 120 days after recruitment. The investigators wanted to see if exercise would help oral muscle performance, there's a lack of data on this, so the investigator couldn't determine a change over time.
Oral diadochokinesis (DDK) performance developed by HKU specifically in Cantonese or English (depends on participants' mother tongue) will be used. Participants will be instructed to repeat /pa/, /ta/, /ka/ as accurately and as quickly as the participants could within 10s respectively, and /pataka/ within 15s, at their normal speaking loudness level, speech recordings will be analyzed by speech therapist for speech motor assessment.
The University of Hong Kong
Other
Artificial Intelligence-Based APP for Home Oral Muscles Exercises for Healthy Adults
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