Rationale: Vitamin D-dependent rickets type I (VDDR-I) is a rare form of rickets, which is an autosomal recessive disease caused by 1α-hydroxylase enzyme deficiency. However, long-term dental management and microscopic morphology of teeth remain largely unclear. Patient concerns: We report the case of a 10-year-old Chinese boy complaining of yellowish-brown teeth with extensive caries. Diagnoses: Clinical and laboratory examinations were performed, and VDDR-I was confirmed. Scanning electron microscopy confirmed amelogenesis imperfecta. Interventions: The patient had been taking drugs intervention for VDDR-I from the age of 3 years. The decayed teeth were treated, and metal-preformed crowns were placed to prevent further impairment. Sequence tooth extraction and remineralization therapy were also performed. Outcomes: After 3 years of follow-up, the patient exhibited normal tooth replacement and an acceptable oral hygiene status. However, the new erupted teeth had amelogenesis imperfecta. Lessons: This case is the first to confirm amelogenesis imperfecta in a patient with VDDR-I that was not prevented by drug intervention. Importantly, it provides evidence that long-term dental intervention in patients with VDDR-I can result in an acceptable oral hygiene status. Therefore, early and long-term dental intervention is necessary in VDDR-I patients.

With the continuous progress of the times, the reform of physical education teaching in colleges and universities has to be promoted day by day. The most important task in the process of reform is how to improve the quality of physical education teaching. Only by reforming colleges and universities can we transport outstanding talents into the society. It is very important to improve the teaching quality by improving the physical education quality evaluation system. As artificial intelligence technology has been more and more widely used in different fields, various educational administration systems based on information management have been established in various colleges and universities. On the one hand, it has brought great convenience to the management of physical education in colleges and universities and improvement of the efficiency of sports education management, but on the other hand, there are many shortcomings in the process of practical application. For example, the application of the database does not fully reflect its function and convenience, and it is only used at the level of query and statistics. Therefore, a better evaluation system of physical education teaching quality has become the common expectation of all colleges and universities. This paper makes a powerful analysis of the current quality evaluation of physical education in colleges and universities and proposes a method of establishing a basic framework through expert systems, filling in details with the idea of knowledge base and fuzzy sets, and further using a three-layer B/S framework model to design universal teaching quality assessment system. When discussing the requirements, functional framework, and actual development of the teaching evaluation system, the characteristics of the traditional physical education evaluation model are deeply analyzed, and the system’s interactivity, flexibility, accuracy, and fairness are emphasized in the implementation process. Object-oriented design and analysis are carried out on the requirements of the system, and finally, black-box testing is carried out to ensure the reliability and correctness of the system logic.

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726registration. Data were analyzed using univariate analysis of variance, adjusted for test center, and presented as counts per minute (cpm) as a measure of overall physical activity. RESULTS:The mean age (SD) was 71.8 (5.6) y and 71.7 (5.2) y for females and males, respectively. No gender differences in age and activity level were observed in the material. Mean (SEM) overall physical activity levels were as follows: 65-69 y (n=243) 317 (9) cpm, 70-74 y (n=146) 301 (12) cpm, 75-79 y (n=106) 237 (14) cpm, 80-85 y (n=65) 160 (18) cpm. Linear regression analysis showed that physical activity level decreased with increasing age at a rate of 9 cpm per year (B=-9.4, p<0.001).CONCLUSION: Physical activity level among Norwegian elderly decreased with increasing age, and the oldest age group (80-85 y) showed a 50% lower activity level compared to the youngest age group (65-70 y). (No relationships reported)PURPOSE: To analyze the weekly moderate-to-vigorous physical activity times (MVPAt) measured by accelerometry reported in previous studies for US adults. METHODS:Computer-based searches (MEDLINE and Web of Science) and manual searches were conducted in the English language literature from 2001 to 2010. Key words used for the computer searches were physical activity, accelerometer, accelerometry. Inclusion criteria were as follows: (a) subjects were residents of US, apparently healthy, and in the age range of 18-65 yr; (b) subjects were recruited without bias of their previous physical activity level; (c) the independent variable was the 7-day minute-by-minute MVPAt assessed by accelerometry. Research reports were excluded if there was any control of physical activity. For studies sharing the same database, only one was used for the present analysis. As population physical activity patterns might change in time, only reports for the last decade were used. The reported MVPAt (mean ± sd) and 95% confidential level were calculated. A two-sample t-test and an F-test were performed to determine the effect of sample size on reported physical activity times. RESULTS:The average reported MVPAt was 249.48 ± 83.95 min·wk -1 , and the 95% confidential interval was (211.73, 287.22 min·wk -1 ). The sample sizes of these studies ranged from 6 to 639 subjects, with two significant clusters (n < 300 vs. n > 500). Using n=300 as the cut-off point of the sample size, MVPAt of the small sample size reports (n=11) was not significantly different from MVPAt of the large sample size reports (n=8) (277.80 ± 93.28 vs. 210.53 ± 51.93 min·wk -1, p=.06, power= .47); and the variances between the small and large sample size groups were not significantly different (F10,7 = 3.23, p=.13).CONCLUSIONS: ACSM recommends at least 150 min·wk -1 moderate physical activity to maintain and promote health. This study suggests as for those reports using accelerometry, the US adults as a group appear to meet this recommendation. Similar analyses using other methods of estimation of MVPAt are needed. (No relationships reported)PURPOSE: Changes in the physique and...