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1.
Chinese Journal of School Health ; (12): 112-116, 2022.
Article in Chinese | WPRIM | ID: wpr-920510

ABSTRACT

Objective@#To explore the relationship between myopia and nutritional status among upper elementary students in Shanghai.@*Methods@#A stratified cluster sampling method was used to select 5 576 fourth and fifth grade students from 16 districts in Shanghai, vision test, physical examination and questionnaire survey were administered. Two level multivariate Logistic regression and mixed linear models were used to analyze the relationship between myopia, spherical equivalent (SE) and nutritional status.@*Results@#The detection rates of overweight and obesity were 17.0%(949) and 18.7%(1 042), respectively. There was a statistical difference in the proportion of the nutritional status in boys and girls( χ 2=210.94, P <0.01), with overweight and obesity in boys higher than those of girls. The overweight boys were more likely to have myopia (univariate analysis: OR=1.23, P =0.04; multivariate analysis: OR=1.21, P =0.06) than the normal weight boy. Overweight students tended to had more negative refractive than those with normal weight in both boys and girls(multivariate analysis, boys: β =-0.19, girls: β=-0.24, P <0.05). Myopia risk and refractive power in obese students showed no statistical difference with normal weight students( P >0.05).@*Conclusion@#Overweight students have lower SE than the normal weight among upper elementary students of Shanghai, more researches are needed to confirm this finding and to provide theoretical bases for myopia prevention and control.

2.
Chinese Journal of Orthopaedics ; (12): 1084-1092, 2022.
Article in Chinese | WPRIM | ID: wpr-957102

ABSTRACT

Methods:Two thousand standard sections images werre collected from 2 000 clinical retrospective pediatric hip ultrasound videos from January 2019 to January 2021. All standard sections were annotated by the annotation team through the self-designed software based on Python 3.6 environment for image cross-media data annotation and manual review standardization process with unified standards. Among them, 1 753 were randomly selected for training the deep learning system, and the remaining 247 were used for testing the system. Further, 200 standard sections were randomly selected from the test set, and 8 clinicians independently completed the film reading annotation. The 8 independent results were then compared with the AI results.Results:The testing set consists of 247 patients. Compared with the clinician's measurements, the area under the receiver operating characteristic curve (AUC) of diagnosing hip joint maturity was 0.865, the sensitivity was 76.19%, and the specificity was 96.9%. The AUC of AI system interpretation under Graf detailed typing was 0.575, the sensitivity was 25.90%, the specificity was 89.10%. The 95% LoA of α-angle determined by Bland-Altman method, of -4.7051° to 6.5948° ( Bias -0.94, P<0.001), compared with clinicians' measurements. The 95% LoA of β-angle, of -7.7191 to 6.8777 ( Bias -0.42, P=0.077). Compared with those from 8 clinicians, the results of AI system interpretation were more stable, and the β-angle effect was more prominent. Conclusion:The AI system can quickly and accurately measure the Graf correlation index of standard DDH ultrasonic standard diagnosis plane.

3.
Zhonghua laodong weisheng zhiyebing zazhi ; Zhonghua laodong weisheng zhiyebing zazhi;(12): 789-792, 2019.
Article in Chinese | WPRIM | ID: wpr-796414

ABSTRACT

Objective@#To analyze the epidemiological characteristics of occupational diseases in Gansu Province, China in 2010-2017, and to provide a scientific basis for the prevention and control of occupational diseases.@*Methods@#The cluster sampling method was adopted to make statistical analysis of 1339 cases of occupational disease reported by "occupational disease and occupational health information monitoring system" in Gansu province from 2010 to 2017, to investigate the diseases, regions and industries of occupational diseases in June 2018.@*Results@#A total of 1339 cases of occupational diseases (39 types, 8 classes) were diagnosed and reposed in 2010-2017. The three most frequent diseases were pneumoconiosis (87.53%, 1172/1339), occupational poisonings (5.83%, 78/1339), and occupational ear, nose, and throat (ENT) diseases (3.14%, 42/1339). The cases of silicosis accounted for 54.61% (640/1172) of all cases of pneumoconiosis, the second was coalworker pneumoconiosis, which accounted for 38.57% (452/1172). In the cases of occupational poisonings, 32.05% (25/78) suffered from carbon monoxide poisoning. Patients with occupational diseases were reported in 14 districts of Gansu, mostly in Lanzhou (27.52%, 347/1261), Jinchang (16.57%, 209/1261), and Baiyin (14.20%, 179/1261). The reported cases are mainly concentrated in mining (71.56%, 468/654) and manufacturing (21.87%, 143/654), the types of state-owned economy (55.63%, 692/1244) and private economy (33.68%, 419/1244), large (43.41%, 540/1244) and small enterprises (35.21%, 438/1244) in 2010-2017 in Gansu.@*Conclusion@#The pneumoconiosis caused by silicious and coal dust and the occupational poisonings caused by carbon monoxide seem to be the main occupational hazards in Gansu province. Occupational diseases occur in all districts of Guangzhou and in various industries. The state-owned economy and private sector, large and small enterprises should be the focuses of occupational health supervision.

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