Research model reflecting oral health and model construction method thereof

Abstract

The invention relates to the technical field of oral health, in particular to a research model reflecting oral health and a model construction method thereof. Comprising an information collection module, an analysis module, an evaluation module and a customization module. The information collection module is used for collecting oral health data of a user and transmitting the data to the investigation model; the analysis module is used for analyzing factors influencing oral health according to the information collected by the information collection module; the evaluation module is used for evaluating the oral health condition of the user according to the information collected by the information collection module. According to the research model reflecting oral health and the model construction method thereof, the constructed research model can effectively reflect the oral health condition of old people with cognitive impairment and provide better oral health service for the old people, so that a scientific basis is provided for improving the oral health of the old people; the oral health care service of the old people is improved, and the life quality of the old people is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oral health, and in particular to a survey model reflecting oral health and a model construction method thereof. Background Art

[0002] Elderly people with cognitive impairment are more than twice as likely to suffer from periodontitis and tooth loss as healthy elderly people with normal cognition. This phenomenon is partly attributed to the decline in cognitive levels, especially the decline in attention, memory, mental function and physical coordination, which affects their ability to maintain good oral health behaviors. The World Health Organization (WHO) emphasizes that effective oral health behaviors are essential to prevent oral health problems. In particular, brushing teeth and regular oral examinations can effectively alleviate periodontal problems and prevent tooth loss.

[0003] With the aging of society, oral health problems among the elderly are becoming increasingly prominent. Oral health not only affects the daily quality of life of the elderly, but may also have a significant impact on their overall health. However, the current assessment methods for oral health among the elderly still have the following shortcomings:

[0004] 1. Limitations of traditional evaluation methods:

[0005] Traditional oral health assessment usually relies on the intuitive judgment of dentists and lacks quantitative indicators and systematic analysis;

[0006] The assessment process is time-consuming and costly and is not suitable for large-scale population surveys.

[0007] 2. Lack of personalized assessment tools:

[0008] Existing assessment tools often fail to provide personalized assessment results based on individual differences among different elderly people;

[0009] There is a lack of a comprehensive assessment model that can consider the impact of multiple factors on oral health.

[0010] To this end, a survey model reflecting oral health and a model construction method thereof are designed to provide another technical solution to the above technical problems. Summary of the invention

[0011] Based on this, it is necessary to provide a survey model that reflects oral health and a model construction method thereof to address the above technical issues, so as to solve the technical problems raised by the above background technology.

[0012] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0013] A survey model reflecting oral health, including an information collection module, an analysis module, an evaluation module and a customization module;

[0014] The information collection module is used to collect the user's oral health data and transmit it to the survey model;

[0015] The analysis module is used to analyze factors affecting oral health based on the information collected by the information collection module;

[0016] The evaluation module is used to evaluate the oral health of the user based on the information collected by the information collection module;

[0017] The customization module is used to formulate a personalized oral health care method for the user according to the information collected by the information collection module.

[0018] A method for constructing a survey model reflecting oral health, for any of the above items, the steps are as follows:

[0019] A. Collect information on oral health behaviors, social support, oral health literacy, and perceived stress among older adults;

[0020] B. Based on the collected information, filter the data by statistical methods;

[0021] C. Using the COM-B framework as a skeleton, the initial model was constructed through a linear regression model;

[0022] D. Train the initial model using the independent variable and dependent variable data obtained in step B to obtain the survey model;

[0023] E: Input the user's data into the survey model obtained in step D to obtain the user's oral health status.

[0024] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, in step A, data is collected through one or more of questionnaire collection, medical record collection, third-party platform collection, and inquiry collection.

[0025] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, the third-party platform collection includes QQ, WeChat and Sina Weibo.

[0026] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, in step B, variables that have a significant impact on oral health behavior are retained as independent variables, and the oral health status is used as the dependent variable.

[0027] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, the COM-B framework is formed by a capability module, an opportunity module, a motivation module and a behavior module;

[0028] The competency module is used to consider the impact of cognitive impairment on oral health knowledge comprehension and oral hygiene skill acquisition;

[0029] The opportunity module is used to consider the impact of social support and environmental factors on the opportunity of oral health behaviors;

[0030] The motivation module was used to explore the impact of COM on oral health behavior attitudes and beliefs;

[0031] The behavior module is used to analyze the results of oral health behaviors.

[0032] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, in step D, the initial model is trained by the independent variable and dependent variable data obtained in step B to obtain the survey model, and the steps are as follows:

[0033] The independent variable and dependent variable data obtained in step B are divided into a training data set and a validation data set according to a ratio of 7:3;

[0034] The COM-B framework is used as the skeleton to fit the linear regression model in combination with the training set data;

[0035] The performance of the fitted linear regression model was evaluated by the mean square error;

[0036] The validation data set is used to test whether the fitted linear regression model after evaluation is accurate. If it is accurate, the survey model is obtained. If it is not accurate, it is retrained using the training data set and the validation data set.

[0037] As a preferred implementation of the method for constructing a survey model reflecting oral health provided by the present invention, in step E, the user's data is input into the survey model obtained in step D to obtain the user's oral health status, and the steps are as follows:

[0038] A report is generated based on the results output by the survey model, and the user is informed of the health status based on the data in the report.

[0039] It can be seen without a doubt that the above-mentioned technical solution of the present application can definitely solve the technical problem to be solved by the present application.

[0040] At the same time, through the above technical solutions, the present invention has at least the following beneficial effects:

[0041] The present invention provides a survey model reflecting oral health and a method for constructing the model. The constructed survey model can effectively reflect the oral health status of elderly people with cognitive impairment and provide them with better oral health care services, thereby providing a scientific basis for improving the oral health care of the elderly, and improving the oral health care services of the elderly and improving their quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0043] Figure 1 This is a schematic diagram of a process of Embodiment 1 of the present invention;

[0044] Figure 2 This is a flow chart of the second embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0047] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features and technical solutions in the embodiments may be combined with each other.

[0048] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0049] Embodiment 1

[0050] Reference Figure 1 , a survey model reflecting oral health, includes information collection module, analysis module, evaluation module and customization module.

[0051] The information collection module is used to collect the user's oral health data and transmit it to the survey model. Specifically, the user's oral information can be collected through the corresponding applet input status of the smartphone, wearable device information collection, etc.;

[0052] The analysis module is used to analyze factors affecting oral health based on the information collected by the information collection module;

[0053] The evaluation module is used to evaluate the oral health of the user based on the information collected by the information collection module;

[0054] The customization module is used to formulate a personalized oral health care method for the user based on the information collected by the information collection module.

[0055] Embodiment 2

[0056] refer to Figure 2 Based on the above embodiment 1, a method for constructing a survey model reflecting oral health is disclosed, and the steps are as follows:

[0057] A. Collect information on oral health behaviors, social support, oral health literacy, and perceived stress of the elderly. This can be done through questionnaires, medical records, third-party platforms (including QQ, WeChat, and Sina Weibo), or inquiries, as detailed below:

[0058] 1) General Information

[0059] A questionnaire was used to collect general information of the participants, including sociodemographic information such as age, sex (self-reported), marital status, education level, smoking, drinking, weight, height, and socioeconomic status.

[0060] 2) Mini-Mental State Examination (MMSE)

[0061] Includes orientation to time and place, memory, attention / numeracy, recall, and language skills (such as naming, repetition, comprehension, reading, writing, and copying).

[0062] 3) Oral Health Behavior Questionnaire

[0063] Oral health behaviors were measured using the Oral Health Behavior Questionnaire, which is designed to assess oral health behaviors among community-dwelling older adults. The questionnaire includes 12 items divided into two dimensions: oral hygiene behaviors and oral condition management behaviors. The scale uses a Likert-type 5-point rating scale ranging from 1 (never) to 5 (always). The total score ranges from 12 to 60 points, with higher scores indicating better oral health behaviors among older adults.

[0064] 4) Oral health literacy

[0065] The scale contains seven dimensions: communication, access, acceptance, understanding, utilization, support, and economic barriers, with a total of 14 items. The scale uses a Likert-type 5-point rating scale ranging from 0 (very difficult) to 4 (almost no difficulty). The total score ranges from 0 to 56 points, with higher scores indicating better oral health literacy.

[0066] 5) Social support

[0067] It is designed to assess three aspects: (1) perceived evaluative support, (2) sense of belonging, and (3) substantive social support. The scale contains 12 items (6 negative items and 6 positive items). Each item is scored using a 4-point scale ranging from 0 (completely false) to 3 (completely true). The total score (0–36 points) is calculated by reversing the scores of the positive items and summing the scores of all items. The higher the score, the stronger the perceived social support.

[0068] 6) Perceived stress

[0069] Used to assess the patient's subjective stress experience in the past month. The scale has a total of 10 items (6 negative items and 4 positive items). A 5-point Likert-type score is used, ranging from 0 (never) to 4 (always). The total score ranges from 0 to 40 points, and the higher the score, the greater the perceived stress.

[0070] 7) Oral health self-efficacy

[0071] A scale for assessing oral health self-efficacy in the elderly. The scale consists of three dimensions with a total of 20 items: (1) oral function (9 items), (2) oral hygiene habits (8 items), and (3) dental visits (3 items). Each item is scored using a 4-point scale (1 to 4 points). The total score ranges from 20 to 80 points, with higher scores indicating higher oral health self-efficacy.

[0072] Preferably, the survey questionnaire can be a COM assessment tool (such as the Montreal Cognitive Assessment-MoCA), an oral health behavior questionnaire, etc.

[0073] Collecting data

[0074] A total of 525 elderly people participated in the data analysis, including 264 males and 261 females. Most participants reported being married (73.5%), never smoking (59.2%) or drinking (58.7%), with a monthly income of 3,000-5,000 yuan (34.3%), and an MMSE score of 10-20 points (57.9%).

[0075] B. Based on the collected information, the data were screened by statistical methods (the statistical method was multivariate linear regression), and the variables that had a significant impact on oral health behavior were retained as independent variables, such as age, gender, oral hygiene habits, etc.; the oral health status was used as the dependent variable, such as the number of teeth, pain level, etc.;

[0076] C. Using the COM-B framework as a skeleton, the initial model was constructed through a linear regression model;

[0077] The COM-B framework is formed by the capability module, opportunity module, motivation module, and behavior module;

[0078] The ability module is used to consider the impact of cognitive impairment on oral health knowledge comprehension and oral hygiene skills acquisition, which specifically analyzes how cognitive level affects the ability of older adults to perform oral health behaviors;

[0079] The opportunity module is used to consider the impact of social support and environmental factors on the opportunity of oral health behaviors, specifically analyzing how COM variables affect the opportunity of oral health behaviors, for example, whether there are family members or health care workers to provide help;

[0080] The motivation module is used to explore the impact of COM on oral health behavior attitudes and beliefs, specifically to analyze how COM variables affect the oral health behavior motivation of the elderly, including intrinsic motivation (such as self-efficacy) and extrinsic motivation (such as social pressure);

[0081] The behavior module is used to analyze the results of oral health behaviors and how these behaviors are affected by the ability module, opportunity module and motivation module. As a dependent variable, it is an unstable value.

[0082] Preferably, a Chi-Square Test is used to test whether there is a deviation between the model and the data and the degree of deviation.

[0083] D. Train the initial model using the independent and dependent variable data obtained in step B to obtain the survey model. The steps are as follows:

[0084] The independent variable and dependent variable data obtained in step B are divided into a training data set and a validation data set according to a ratio of 7:3;

[0085] The COM-B framework is used as the skeleton to fit the linear regression model in combination with the training set data;

[0086] The performance of the fitted linear regression model was evaluated by the mean square error (MSE);

[0087] The validation data set is used to test whether the fitted linear regression model after evaluation is accurate. If it is accurate, the survey model is obtained. If it is not accurate, it is retrained using the training data set and the validation data set.

[0088] E: Input the user's data into the survey model obtained in step D to obtain the user's oral health status. The steps are as follows:

[0089] A report is generated based on the results output by the survey model, and the user is informed of the health status based on the data in the report.

[0090] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A research model reflecting oral health, characterized in that: It includes information collection module, analysis module, evaluation module and customization module; The information collection module is used to collect the user's oral health data and transmit it to the survey model; The analysis module is used to analyze factors affecting oral health based on the information collected by the information collection module; The evaluation module is used to evaluate the oral health of the user based on the information collected by the information collection module; The customization module is used to formulate a personalized oral health care method for the user according to the information collected by the information collection module.

2. A method for constructing a survey model reflecting oral health, used for the survey model reflecting oral health as claimed in claim 1, characterized in that: Here are the steps: A. Collect information on oral health behaviors, social support, oral health literacy, and perceived stress among older adults; B. Based on the collected information, filter the data by statistical methods; C. Using the COM-B framework as a skeleton, the initial model was constructed through a linear regression model; D. Train the initial model using the independent variable and dependent variable data obtained in step B to obtain the survey model; E: Input the user's data into the survey model obtained in step D to obtain the user's oral health status.

3. The method for constructing a survey model reflecting oral health according to claim 2, characterized in that: In step A, data is collected through one or more of questionnaires, medical records, third-party platforms, and inquiries.

4. The method for constructing a survey model reflecting oral health according to claim 3, characterized in that: The third-party platforms collected include QQ, WeChat and Sina Weibo.

5. The method for constructing a survey model reflecting oral health according to claim 2, characterized in that: In step B, the variables that have a significant impact on oral health behavior are retained as independent variables, and the oral health status is taken as the dependent variable.

6. The method for constructing a survey model reflecting oral health according to claim 5, characterized in that: The COM-B framework is formed by capability module, opportunity module, motivation module and behavior module; The competency module is used to consider the impact of cognitive impairment on oral health knowledge comprehension and oral hygiene skill acquisition; The opportunity module is used to consider the impact of social support and environmental factors on the opportunity of oral health behaviors; The motivation module was used to explore the impact of COM on oral health behavior attitudes and beliefs; The behavior module is used to analyze the results of oral health behaviors.

7. The method for constructing a survey model reflecting oral health according to claim 5, characterized in that: In step D, the initial model is trained using the independent variable and dependent variable data obtained in step B to obtain the survey model. The steps are as follows: The independent variable and dependent variable data obtained in step B are divided into a training data set and a validation data set according to a ratio of 7:3; The COM-B framework is used as the skeleton and the training set data is combined to fit the linear regression model; The performance of the fitted linear regression model was evaluated by the mean square error; The validation data set is used to test whether the fitted linear regression model after evaluation is accurate. If it is accurate, the survey model is obtained. If it is not accurate, it is retrained using the training data set and the validation data set.

8. The method for constructing a survey model reflecting oral health according to claim 2, characterized in that: In step E, the user's data is input into the survey model obtained in step D to obtain the user's oral health status. The steps are as follows: A report is generated based on the results output by the survey model, and the user is informed of the health status based on the data in the report.

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