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1.
Sichuan Mental Health ; (6): 125-130, 2024.
Artículo en Chino | WPRIM (Pacífico Occidental) | ID: wpr-1030558

RESUMEN

BackgroundThe prevalence of depressive disorder in adolescents is on the rise. There have been studies on the pairwise relations between dysfunctional attitude, negative automatic thoughts, positive coping style and depressive symptoms in the past. However, the impact of the intrinsic relations among dysfunctional attitude, negative automatic thoughts and positive coping style on depressive symptoms is still unclear. ObjectiveTo explore the influence of dysfunctional attitude on adolescent depressive symptoms and examine the action path of negative automatic thoughts and positive coping style on it, in order to provide references for intervention for adolescent patients with depressisve disorder. MethodsThis study involved 162 adolescent patients with depressive disorder, who met the diagnostic criteria for depressive episodes in the International Classification of Diseases, 10th edition (ICD-10) and received treatment in Taiyuan Psychiatric Hospital from October 1, 2022 to October 31, 2023. These patients were evaluated using Self-rating Depression Scale (SDS), Dysfunction Attitude Scale (DAS), Positive Coping Style Subscale in Simplified Coping Style Questionnaire(SCSQ) and Automatic Thoughts Questionnaire (ATQ). Pearson correlation analysis was adopted to examine the correlation among scores of scales above. Model 6 in Process 3.4.1 was adopted to test the acting path of negative automatic thoughts and positive coping style between dysfunctional attitude and adolescent depression symptoms. ResultsA total of 148 adolescent patients with depressive disorder completed an effective questionnaire survey, with a response rate of 91.36%. The direct effect value of dysfunctional attitude on depressive symptoms was 0.423 and the effect size was 63.32%. Negative automatic thoughts and positive coping style affected as acting path between dysfunctional attitude and depressive symptoms, with effect values of 0.156 (accounting for 23.35% of the total effect) and 0.045 (accounting for 6.74% of the total effect) respectively. Meanwhile, negative automatic thoughts and positive coping style affected as a chain reaction pathway between dysfunctional attitude and depressive symptoms, with an effect value of 0.044, accounting for 6.59% of the total effect. ConclusionDysfunctional attitude can not only directly affect the depressive symptoms of adolescent patients with depressive disorder, but also affect the depressive symptoms of adolescent patients with depressive disorder through the independent path or chain path of negative automatic thoughts and positive coping style.

2.
Chongqing Medicine ; (36): 5047-5048,5051, 2017.
Artículo en Chino | WPRIM (Pacífico Occidental) | ID: wpr-664997

RESUMEN

Objective In this study ,the effect of Spirulina kinase(SPK)on hemorheology ,platelet aggregation and cAMP in acute blood stasis rats model were investigated .Methods Forty SD rats were randomly divided into normal control group ,model group ,aspirin group and the high and low dose of SPK groups .All treatments were performed by gavage once a day for 7 days .Sub-cutaneous injection of adrenalin combined with ice water bath were used to establish the acute blood stasis rat model .The whole blood viscosity ,plasma viscosity ,red blood cell hematocrit (Hct) ,erythrocyte aggregation index (EAI) ,red blood cell deformation index(DI)anderythrocyterigidityindex(ERI)weredetectedbyautomaticbloodflow speedanalyzer .Meanwhile,thelevelofcAMP was detected by ELISA method .Rat platelet aggregation induced by ADP and the maximum aggregation rate was measured by tur-bidimetry .Results Results showed that SPK could significantly decrease the whole blood viscosity ,plasma viscosity ,Hct ,EAI and platelet aggregation rate ,increase the level of cAMP compared with model group(P<0 .05) ,but had no effect on DI and ERI .Con-clusion SPK can markedly improve the abnormal changes of hemorheology in acute blood stasis rats and inhibit the platelet aggregation .

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