Background:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This stu...Background:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This study aimed to examine the factors related to nutritional literacy for oral health among VHVs.Methods:This was a mixed-methods study employing an explanatory sequential design.The quantitative data were gathered through questionnaires distributed to a cohort of 10,514 VHVs registered in Health Region 1.A stratified random sampling technique was used to ensure adequate representation of various subgroups within the VHV population,considering factors such as age,education level,and geographical distribution across the region.This approach allowed for a more representative sample that accurately reflects the diversity of the VHV population.Qualitative data were obtained through semi-structured interviews with a purposive sampling of 20 participants based on specific criteria.Quantitative data were analyzed using descriptive statistics and biserial correlation techniques,while qualitative data were analyzed using content analysis.Results:The study found that the sample group possessed a moderate level of knowledge of health literacy principles and nutrition for oral health.However,their self-assessed skills in nutritional literacy for oral health were rated as high.A statistically significant negative correlation was found between knowledge of nutrition for oral health and skills in nutritional literacy for oral health.VHVs equated health literacy with knowledge because their public health training had focused more on imparting knowledge rather than developing skills based on health literacy principles.Conclusion:There is a need to emphasize skill-based health literacy training and to use effective skill development techniques that are tailored to the specific roles and responsibilities of health volunteers.It is also recommended to continuously monitor and evaluate the outcomes of these efforts.展开更多
INTRODUCTIONSince computed tomography （CT） was invented and used clinically or in research, it is currently widely used in the diagnosis, staging, assessment of disease response to treatment, with clearer image qual...INTRODUCTIONSince computed tomography （CT） was invented and used clinically or in research, it is currently widely used in the diagnosis, staging, assessment of disease response to treatment, with clearer image quality and shorter scanning time. There are many diseases which are not easily found at an early stage with noticeable symptoms,展开更多
This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using pro...This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using prohibited materials in the manufacture of these fabrics, and the use of unknown dyes has proven that some of them cause diseases to humans, especially children, that cause cancerous diseases. With the study sample consisting of (7), the study results indicate the presence of toxic formaldehyde in all sample dyes obtained from discount markets and online shopping.展开更多
Objective To investigate the human body’s complex system,and classify and characterize the human body’s health states with“a comprehensive integrated method from qualitative to quantitative”.Methods This paper int...Objective To investigate the human body’s complex system,and classify and characterize the human body’s health states with“a comprehensive integrated method from qualitative to quantitative”.Methods This paper introduces the concept of“order parameters”and proposes a method for establishing an order parameter model of gas discharge visualization(GDV)based on the principle of“mastering both permanence and change(MBPC)”.The method involved the fol-lowing three steps.First,average luminous intensity(I)and average area(S)of the GDV im-ages were calculated to construct the phase space,and the score of the health questionnaire was calculated as the health deviation index(H).Second,the k-means++clustering method was employed to identify subclasses with the same health characteristics based on the data samples,and to statistically determine the symptom-specific frequencies of the subclasses.Third,the distance(d)between each sample and the“ideal health state”,which determined in the phase space of each subclass,was calculated as an order parameter describing the health imbalance,and a linear mapping was established between the d and the H.Further,the health implications of GDV signals were explored by analyzing subclass symptom profiles.We also compare the mean square error(MSE)with classification methods based on age,gen-der,and body mass index(BMI)indices to verify that the phase space possesses the ability to portray the health status of the human body.Results This study preliminarily tested the reliability of the order parameter model on data samples provided by 20 participants.Based on the discovered linear law,the current model can use d calculated by measuring the GDV signal to predict H(R^(2)>0.77).Combined with the symptom profiles of the subclasses,we explain the classification basis of the phase space based on the pattern identification.Compared with common classification methods based on age,gender,BMI,etc.,the MSE of phase space-based classification was reduced by an order of magnitude.Conclusion In this study,the GDV order parameter model based on MBPC can identify sub-classes and characterize individual health levels,and explore the TCM health meanings of the GDV signals by using subjective-objective methods,which holds significance for establishing mathematical models from TCM diagnosis principles to interpret human body signals.展开更多
文摘Background:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This study aimed to examine the factors related to nutritional literacy for oral health among VHVs.Methods:This was a mixed-methods study employing an explanatory sequential design.The quantitative data were gathered through questionnaires distributed to a cohort of 10,514 VHVs registered in Health Region 1.A stratified random sampling technique was used to ensure adequate representation of various subgroups within the VHV population,considering factors such as age,education level,and geographical distribution across the region.This approach allowed for a more representative sample that accurately reflects the diversity of the VHV population.Qualitative data were obtained through semi-structured interviews with a purposive sampling of 20 participants based on specific criteria.Quantitative data were analyzed using descriptive statistics and biserial correlation techniques,while qualitative data were analyzed using content analysis.Results:The study found that the sample group possessed a moderate level of knowledge of health literacy principles and nutrition for oral health.However,their self-assessed skills in nutritional literacy for oral health were rated as high.A statistically significant negative correlation was found between knowledge of nutrition for oral health and skills in nutritional literacy for oral health.VHVs equated health literacy with knowledge because their public health training had focused more on imparting knowledge rather than developing skills based on health literacy principles.Conclusion:There is a need to emphasize skill-based health literacy training and to use effective skill development techniques that are tailored to the specific roles and responsibilities of health volunteers.It is also recommended to continuously monitor and evaluate the outcomes of these efforts.
基金a grant from the National Natural Science Foundation of China
文摘INTRODUCTIONSince computed tomography （CT） was invented and used clinically or in research, it is currently widely used in the diagnosis, staging, assessment of disease response to treatment, with clearer image quality and shorter scanning time. There are many diseases which are not easily found at an early stage with noticeable symptoms,
文摘This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using prohibited materials in the manufacture of these fabrics, and the use of unknown dyes has proven that some of them cause diseases to humans, especially children, that cause cancerous diseases. With the study sample consisting of (7), the study results indicate the presence of toxic formaldehyde in all sample dyes obtained from discount markets and online shopping.
基金Program of Office of Science and Technology Development,Peking University(3124-2021|-L-w6).
文摘Objective To investigate the human body’s complex system,and classify and characterize the human body’s health states with“a comprehensive integrated method from qualitative to quantitative”.Methods This paper introduces the concept of“order parameters”and proposes a method for establishing an order parameter model of gas discharge visualization(GDV)based on the principle of“mastering both permanence and change(MBPC)”.The method involved the fol-lowing three steps.First,average luminous intensity(I)and average area(S)of the GDV im-ages were calculated to construct the phase space,and the score of the health questionnaire was calculated as the health deviation index(H).Second,the k-means++clustering method was employed to identify subclasses with the same health characteristics based on the data samples,and to statistically determine the symptom-specific frequencies of the subclasses.Third,the distance(d)between each sample and the“ideal health state”,which determined in the phase space of each subclass,was calculated as an order parameter describing the health imbalance,and a linear mapping was established between the d and the H.Further,the health implications of GDV signals were explored by analyzing subclass symptom profiles.We also compare the mean square error(MSE)with classification methods based on age,gen-der,and body mass index(BMI)indices to verify that the phase space possesses the ability to portray the health status of the human body.Results This study preliminarily tested the reliability of the order parameter model on data samples provided by 20 participants.Based on the discovered linear law,the current model can use d calculated by measuring the GDV signal to predict H(R^(2)>0.77).Combined with the symptom profiles of the subclasses,we explain the classification basis of the phase space based on the pattern identification.Compared with common classification methods based on age,gender,BMI,etc.,the MSE of phase space-based classification was reduced by an order of magnitude.Conclusion In this study,the GDV order parameter model based on MBPC can identify sub-classes and characterize individual health levels,and explore the TCM health meanings of the GDV signals by using subjective-objective methods,which holds significance for establishing mathematical models from TCM diagnosis principles to interpret human body signals.
