Objectives : The purpose of this study was to investigate the relationship between the oral health status of elderly people and their oral health-related quality of life. Methods : The subjects were the elderly people over 65 years old in Busan. A total of 479 elderly people participated in the study from general hospital, two research institutes, eight dental clinics, six welfare institutions, sixteen senior centers, and three nursing homes. The oral health impact profile-14 (OHIP-14) was used in the routine dental checkups of the elderly people. Results : Those who had no oral symptoms had a better oral health-related quality of life. Among the subfactors of the OHIP-14, significant differences were shown in functional limitation(p=0.001), physical pain(p<0.001), emotional discomfort(p<0.001), physical disability(p=0.001), emotional disability (p=0.001), social disability(p=0.005), physical handicap(p=0.003) and total OHIP-14(p<0.001). Those who had 18 sound teeth(natural teeth) or more had a better oral health-related quality of life. Among the subfactors of the OHIP-14, significant differences were shown in functional limitation(p<0.001), physical pain(p=0.007), emotional discomfort(p=0.019), physical disability(p=0.018), Emotional disability(p=.032) and total OHIP-14 (p=0.006). Conclusions : The results revealed a close relationship between oral health status and oral health-related quality of life. The number of sound teeth(natural teeth) and frequency of toothbrushing had a more positive influence. Therefore oral health programs for the elderly people can preserve remaining teeth. Toothbrushing is the best way to improve the quality of life in the elderly people.
This study was conducted to investigate correlation between oral health belief and oral health-related quality of life (OHIP-14) based on oral health education experience. A survey was conducted on adults living in Busan, Ulsan, and Gyeongnam region. Collected data was analyzed using SPSS 25.0. As a result, adults with oral health education experience had significantly higher scores in subfactors of oral health belief and subfactors of oral health-related quality of life than adults without oral health education experience. There were correlations between factors in oral health education experience, oral health belief, and oral health-related quality of life. Therefore, operating oral health education program by life cycle will promote oral health as well as will help to enhance the importance and necessity of oral health education by improving quality of life.
The purpose of this study was to investigate the association between masticatory ability and oral health-related quality of life using the Oral Health Impact Profile (OHIP-14) of the elderly. Total 195 elderly subjects were assessed for subjective masticatory ability, objective masticatory ability and OHIP-14 concerned with quality of life. When masticatory ability is low, the odds ratio(OR) of the quality of life is worse was increased. After adjusted age, residence, education, denture, odds ratio of subjective masticatory ability was 2.42(p<0.05) increased and odds ratio of objective masticatory ability was 7.58(p<0.001) increased. This study showed significant association between masticatory ability and the total OHIP-14 score of the quality of life of the elderly. Masticatory ability can affect quality of life oral health-related in elderly. While following up on various studies were carried out as a long-term, I hope it will be of help in improving the quality of life of the elderly with maintaining a healthy oral health.
Objectives: The purpose of this study was to examine the subjective oral health awareness, oral health knowledge, oral health behavior and OHIP-14 in industrial workers. Methods: A self-reported questionnaire was filled out by 243 workers in Jeonbuk May 7 to June 10, 2014. Except incomplete answers, 230 data were analyzed. The questionnaire consisted of general characteristics of the subjects(sex, age, career, marital status, abd family), oral health recognition characteristics(oral health attention, subjective oral health status, and oral health concern), oral health knowledge, oral health behavior, and oral health related quality of life. The instrument was 14 questions od OHIP-14 including functional restriction(2 questions), physical pain(2 questions), psychological discomfort(2 questions), physical ability decease(2 questions), psychological function decease(2 questions), social activity decrease (2 questions), and social discomfort(2 questions). Cronbach's alpha was 0.949 in this study and it was reliable. Results: Oral health interests showed that 57.8% of the workers had concern for oral health interests and 50.4% perceived that their subjective oral health was moderate status. 55.6% of the workers answered that their oral health status was very worried. Women had more knowledge about the oral health. Those who were in fifties tended to have more knowledge of oral health than the other age groups. Those who had more concern for oral health included female workers, married workers, and workers above 21 years. The concern for oral health made the workers keep good oral health. Higher score of OHIP-14 means good oral health. Conclusions: Good oral health-related quality of life is proportional to continuous management of oral health and subjective oral health status. It is necessary to develop the tailored oral health education program for the workers.
Objectives: The purpose of the study was to investigate the relationship between oral health perception and oral health-related quality of life-14(OHIP-14) in a geriatric hospital. Methods: A self-reported questionnaire was completed by 230 elderly people in a long-term care institution. The questionnaire was consisted of items on general characteristics, oral health perception and OHIP-14. Except incomplete answers, 226 data were analyzed statistically with one-way ANOVA, t-test, Pearson's correlation coefficient and post hoc Tukey test and ANOVA when significance was set at 0.05. Results: The OHIP-14 showed a negative linear relationship(p<0.01) of r=-0.272 with the oral health perception. Among the subgroups of the OHIP-14, quantitative linear relationship(p<0.01) was shown in functional limitation(r=0.822), physical pain(r=0.825), psychological discomfort(r=0.568), physical disability(r=0.895), psychological disability(r=0.652), social disability(r=0.804) and handicap(r=0.818). Conclusions: In order to improve the oral health perception and OHIP-14 in a geriatric hospital, it is necessary to develop continuously a variety of oral health education and systematic oral health promotion program.
Objectives: The purpose of the study was to investigate factors affecting health risk behavior, oral health related quality of life (OHIP-14) and happiness in soldiers. Methods: Data were collected from Gangwon and Chungchong provinces from the first to the $15^{th}$ of October, 2016. Excluding five copies with incomplete answers, 203 copies of the questionnaire were were analyzed. Health risk behaviors (drinking and smoking), perceived oral health, OHIP-14 and happiness were measured. The data were analyzed with a t-test, one-way ANOVA, Pearson correlation coefficient and multiple regression using the SPSS 22.0 program. Results: The amount of daily cigarette consumption of soldiers (66 people) was an average of 10.11 cigarette. The mean of OHIP-14 and that of happiness were 4.43 and 4.05, respectively. The higher the quality perceived oral health, the better the OHIP-14 (r=0.234) and happiness (r=0.192) were. The higher the OHIP-14, the higher the happiness (r=0.357). OHIP-14 was related to army, perceived oral health and happiness. The explanatory power of the model was 17.0%. Conclusions: OHIP-14 is associated with happiness. These results suggest that oral health education programs and policies need to be developed to instill happiness in soldiers.
The Journal of Korean Society for School & Community Health Education
/
v.14
no.1
/
pp.49-60
/
2013
Objectives: The main purpose of this study was to examine factors contributing the quality of life related to oral heath such as level of oral health knowledge, subjective knowledge on oral health, awareness of oral health and OHIP-14, and furthermore to analyze any relations among these factors. Methods: The questionnaire survey was carried out on a convenience sample of 230 middle school students at the selected middle school in Chungcheongnam-do. T-test and one-way ANOVA and correlation test were conducted over the collected datas using SPSS 12.0(SPSS 12.0 KOR for Windows, SPSS Inc, Chicago, USA). Results: The results of the study are as follows: 1. 6.38 was average score for oral health knowledge and 10.0 was the maximum. Subjective oral health awareness scored of average 2.99 with maximum of 5.0. OHIP-14 corresponded to average 4.30 and maximum 5.0. 2. Different level of oral heath knowledge was resulted from that of education, which means the greater level of oral health knowledge indicated greater awareness of oral health. 3. OHIP-14 was higher for those who lived with their parents than those who in did not(P=0.012). 4. There exhibits a proportional relationship between subjective awareness of oral health and OHIP-14(r=0.297). Conclusion: It was found that subjective awareness of oral health partially influences to OHIP-14. In other words, subjective awareness of oral health has an effect on the quality of life related to oral health. Hence, there needs more effort on oral health education and oral disorder prevention activities in order to improve subjective awareness of oral health.
Objectives : This study was to investigate the level of health risk behavior, athletes stress, quality of life(WHOQOL-BREF) and oral health related quality of life(OHIP-14) and the clinical factors influencing quality of life in athletes Methods : Data were obtained from a cross-sectional survey of 202 university athletes. Data was obtained by means of questionnaire from October 11 to October 15, 2010. Health risk behaviors(Q-F index and smoking), athletes stress, WHOQOL-BREF and OHIP-14 were measured. The data was analysed with t-test, one-way ANOVA, Pearson correlation coefficient and multiple regression using the SPSS program. Results : The prevalence of alcohol drinking, smoking were 84.2% and 37.9%, respectively. Alcohol drinking and cigarette consumption were not related to quality of life though there were the negative correlation between athletes stress and quality of life. Powerful predictors of quality of life were athletes stress, OHIP-14 and perceived health for athletes. Conclusions : Based on the findings, quality of life has a significantly impact on athletes stress, OHIP-14 and perceived health. These results suggest that the implementation of health promotion program should be considered which was decreased athletes stress and was increased level of oral health and perceived health in athletes.
The purpose of this study was to investigate association between oral health related quality of life(OHRQoL) and health outcome, such as evaluated oral health state, perceived health state and perceived oral health state. 148 of individuals over 50 years old completed a self-reported questionnaire on Oral Health Impact Profile(OHIP-14) and oral examination was perfomed. 9.5% of respondents reported no problems or discomfort using OHIP-14. The most frequently reported problems were physical pain(69.8%) and psychological discomfort(63.5%). 43.9% of the individuals rated their health and oral health as poor and 54.7% were dissatisfied with their oral health. The study showed association between number of DMFT, missing teeth, perceived health state, perceived oral health state, oral health satisfaction and oral health related quality of life. Perceived heath sate was correlated with oral health related quality of life. But the study showed no association between DMFT, number of missing teeth and oral health related quality of life.
Objectives : The purpose of this study was to investigate the oral health impact profile (OHIP) in the industrial accident injury patients, and the effect of subjective perception and attitude of oral health on the oral health-related quality of life in industrial injury patients. Methods : A self-reported questionnaire was filled out by 496 industrial accident injury patients from October 29 to November 30, 2013. Data were analyzed using SPSS ver 20.0 program for chi-square test, t-test, ANOVA, Scheffe test, and Pearson's correlation coefficient. Results : The OHIP-14 was higher oral health-related quality of life in young people, women, highly educated persons, and those having high income and frequent scaling service. The subjective perception and attitude of oral health was closely correlated to the OHIP-14. The factors influencing on the oral health-related quality of life were the subjective perception and attitude toward oral health. Conclusions : It is necessary to emphasize the oral health promotion program for industrial injury patients. The government should pay more attention to the policy for the improvement of the oral health of industrial accident injury patients in the future.
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