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1.
Journal of Preventive Medicine ; (12): 369-373,379, 2023.
Artigo em Chinês | WPRIM | ID: wpr-973289

RESUMO

Abstract@#Objective To investigate the prevalence of dissociative tendency and its influencing factors among middle school students, so as to provide insights into prevention and early interventions of adolescent dissociative tendency.@* Methods@# Students at ages of 13 to 18 years that studied in 9 high schools were sampled using a multistage, stratified, cluster sampling method from 3 counties (districts) of Hangzhou City from January, 2021 and March, 2022. Participants' demographics and social, school, family environment and psychological factors were collected using self-designed questionnaires and standardized scales. The dissociative tendency was initially screened using the Adolescent Dissociative Experience Scale (A-DES), and the diagnosed by three psychiatrists according to Diagnostic and Statistical Manual of Mental Disorders (5th Edition). Factors affecting ADT were identified using a multivariable logistic regression model. @*Results@# Totally 3 240 students were recruited, and 2 841 students were qualified, with a response rate of 87.69%. The respondents included 1 389 men (48.89%) and 1 452 women (51.11%), and had a mean age of (15.69±1.58) years. The prevalence of dissociative tendency was 24.04%, and the detection of dissociative tendency was higher among men than among women (29.23% vs. 19.08%; χ2=24.529, P<0.001). Multivariable logistic regression analysis identified negative teacher-student relationship (OR=1.055, 95%CI: 1.010-1.103), family emotional expressiveness (OR=0.872, 95%CI: 0.777-0.978), family conflict (OR=1.152, 95%CI: 1.045-1.271), family organization (OR=0.880, 95%CI: 0.780-0.992) and family cohesion (OR=0.871, 95%CI: 0.766-0.987) as factors affecting dissociative tendency among men, and somatization (OR=1.041, 95%CI: 1.002-1.082) and paranoid ideation (OR=1.094, 95%CI: 1.006-1.190) as factors affecting dissociative tendency among women. @*Conclusions@# The prevalence of dissociative tendency was 24.04% among middle school students. Negative teacher-student relationship, family emotional expressiveness, family conflict, family organization, and family cohesion may affect dissociative tendency among men, while somatization and paranoid ideation may affect dissociative tendency among women.

2.
Journal of Prevention and Treatment for Stomatological Diseases ; (12): 314-319, 2018.
Artigo em Chinês | WPRIM | ID: wpr-777875

RESUMO

Objective@# The present study evaluated the clinical effects of Invisalign-aided molar distalization in the treatment of mild or moderate crowding in anterior teeth. @*Methods@#Eleven adults with class Ⅱ dental malocclusion and a class Ⅰ skeletal pattern were selected as subjects. The patients’ molar occlusion did not exhibit an end-to-end relationship. Subjects were selected for straight profile, mild or moderate crowding in maxillary teeth and normal or mild crowding in mandibular teeth. Nonextraction and Invisalign-aided molar distalization were planned for treatment. Model measurement and cephalometric analysis were performed before and after treatment. A paired t test was used for the statistical analysis.@*Results@#The crowding and class Ⅱ molar relationship were corrected in all 11 patients. The upper first molars were moved distally by 2.32 mm (t = 3.315, P < 0.01) and were inclined distally by 3.35° (t = 3.959, P < 0.01) on average. The central incisors were protruded by 1.72 ° (t = 3.274, P < 0.01) on average. The buccal movement of the upper first molars was 1.32 mm (t = 2.461, P < 0.05) on average. The above differences were statistically significant. @*Conclusion @#Upper molar distalization can be achieved using a class Ⅱ elastic-aided Invisalign technique. The end-to-end molar occlusion can be corrected, and front teeth with mild or moderate crowding can be aligned using our treatment protocol.

3.
Chinese Journal of Cardiology ; (12): 737-742, 2015.
Artigo em Chinês | WPRIM | ID: wpr-351611

RESUMO

<p><b>OBJECTIVE</b>To investigate the distribution and major influencing factors of annual systolic blood pressure variability from a large population cohort.</p><p><b>METHODS</b>In this prospective cohort study, data from Kailuan Group employees who attended all 4 physical examinations ( taken in June 2006 to October 2007, June 2008 to October 2009, June 2010 to October 2011, June 2012 to October 2013, respectively) were analyzed (32 959 males and 10 401 females, mean age: (48.2 ± 11.5) years old). Systolic blood pressure variability was defined as the standard deviation (SSD) and the coefficient of variation (SCV) of systolic blood pressure of 4 physical examinations. Multivariate linear regression analysis was used to determine the related influencing factors of SSD and SCV.</p><p><b>RESULTS</b>(1) The mean of SSD and SCV for this cohort was 10.91 mmHg (1 mmHg = 0.133 kPa) and 8.34%, respectively. SSD and SCV increased in male and female with increasing age (both P < 0.001). (2) Multiple linear regression analysis showed that systolic blood pressure (β = 0.225, P < 0.001), age (β = 0.163, P < 0.001), fasting blood glucose (β = 0.038, P < 0.001), the use of anti-hypertensive drugs (β = 0.038, P < 0.001), sex (β = 0.038, P < 0.001), smoking (β = 0.025, P < 0.001), alcohol drinking (P = -0.022, P < 0.001), physical exercise (β = -0.018, P = 0.001), high-sensitivity c-reactive protein (β = 0.016, P = 0.001) body mass index (β = -0.011, P = 0.018) were related to SSD. Age (β = 0.139, P < 0.001), sex (β = 0.055, P < 0.001), systolic blood pressure (β = 0.047, P < 0.001), fasting blood glucose (P = 0.033, P < 0.001), drinking (β = -0.030, P < 0.001), body mass index (β = -0.026, P < 0.001), the use of anti- hypertensive drugs (β = 0.026, P < 0.001), smoking (β = 0.024, P < 0.001), physical exercise (β = -0.015, P = 0. 001), high-sensitivity c-reactive protein (β = 0. 014, P = 0. 001) were related to SCV.</p><p><b>CONCLUSIONS</b>SSD and SCV increase with increasing age. Systolic blood pressure, age, fasting blood glucose, the use of anti-hypertensive drugs, sex, smoking, drinking, physical exercise, high-sensitivity c-reactive protein, body mass index are major influencing factors for SSD. Age, sex, systolic blood pressure, fasting blood glucose, alcohol drinking, body mass index, the use of anti-hypertensive drugs, smoking, physical exercise, high-sensitivity c-reactive protein are major influencing factors for SCV.</p>


Assuntos
Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Consumo de Bebidas Alcoólicas , Anti-Hipertensivos , Pressão Sanguínea , Índice de Massa Corporal , Proteína C-Reativa , Estudos de Coortes , Exercício Físico , Estudos Prospectivos , Fumar
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