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Objective:To investigate the relationship between oral health and mild cognitive impairment(MCI)by using indicators that evaluate oral hypofunction.Methods:The study was conducted using a cross-sectional design.Participants were recruited from three communities(Shizi Ling, Wenyi Xincun, and Yaoling in Furong District)in Changsha in July 2021, using convenience sampling.Cognitive and oral functions were evaluated using the simple mental state examination, version 2(MMSE-2)and seven indicators of oral hypofunction, which included oral hygiene, oral dryness, occlusal force, tongue and lip movement, tongue pressure, mastication, and swallowing function.Results:A total of 144 subjects were included in this study, with 72 males.Except for education level, there were no statistically significant differences between the MCI group and the normal cognitive group in terms of demographic information and self-reported and measured oral functions(all P>0.05).There was a correlation between the subjects' self-reported oral function and the actual measured oral function.Multiple linear regression analysis revealed no significant correlation between the MMSE score and the seven indicators used to measure oral hypofunction(all P>0.05).The MMSE score of the female group showed a negative correlation with mastication( β=-0.003, P=0.043), while the MMSE score of subjects with elementary school education also showed a negative correlation with mastication( β=-0.022, P=0.016).Additionally, the MMSE score of subjects with middle school education showed a positive correlation with the number of residual teeth( β=0.090, P=0.030). Conclusions:The self-reported oral function can serve as an initial assessment of overall oral function.However, among elderly individuals who do not show significant decline in oral function, there was no significant correlation between oral function and MCI.To accurately identify individuals with MCI, a more detailed sub-analysis with a larger sample size is required.
RESUMEN
Objective:To study the time consumption of clinical trial projects in each link of contract signing in medical institutions and its influencing factors, to provide a reference for further optimizing the clinical trial management process and improving the efficiency of contract signing.Methods:All of the review records of projects that signed clinical trial contracts at Peking Union Medical College Hospital from January 1st, 2018 to December 31st, 2021 were retrospectively analyzed by comparing the time consumption in each link before signing the contracts and the frequency of contract reviews. Multiple linear regressions were applied to multivariate analyze the influence of different factors on contract signing.Results:A total of 761 clinical trial contracts signed at Peking Union Medical College Hospital from 2018 to 2021 were included in this study, and the average time consumption of contract signing was 127.0 days, among which the consumption of contract review by the hospital was 10.5 days and by sponsors was 99.0 days. The time consumption of contract signing has been decreasing in recent 4 years, from 154.0 days in 2018 to 104.0 days in 2021. The phase of clinical trials, category of sponsors, frequency of contract reviews, and different policies of the institutions were the main influencing factors for contract signing time ( P<0.05). Conclusions:Clinical trial institutions should optimize the contract approval progress, provide agreement templates and targeted service, and strengthen propaganda and information system construction, to improve the efficiency of reviewing and signing clinical trial contracts.