RESUMO
Objective: Examining the current situation of test anxiety among first year senior high school students in Yanji City and investigating the factors that contribute to exam anxiety. Methods: Using cluster sampling, a survey was conducted on 1,550 first-year high school students from three high schools in Yanji City in April-May 2023. The survey utilized general information questionnaires, the Minnesota Multiphasic Personality Inventory (MMPI), and the Self-Rating Anxiety Scale (SAS). Logistic regression analysis was used to determine the influencing factors of test anxiety. Results: A total of 1,550 first-year high school students were included in the analysis, with a test anxiety occurrence rate of 79.8%. Test anxiety exhibited statistical differences among different genders, ethnicities, family economic levels, frequency of communication with parents, and relationships with parents (with results of 53.44, 10.42, 17.31, 20.42, 31.95, all p < 0.05). Scores of hypochondriasis (Hs), depression (D), psychasthenia (Pt), paranoia (Pa), psychopathic deviate (Pd), schizophrenia (Sc), and hypomania (Ma) in the 10 clinical personality scales were significantly positively correlated. Logistic regression analysis revealed that gender, ethnicity, frequency of communication with parents, and scores of hypochondriasis (Hs), depression (D), psychasthenia (Pt), paranoia (Pa), and hypomania (Ma) in the 10 clinical personality scales were the main influencing factors for test anxiety in first-year high school students (all p < 0.05). Conclusion: The test anxiety level of high school students in Yanji City is relatively high, with variations in test anxiety levels among students of different genders, ethnicities, parental communication styles, and deviant personality traits. It is recommended that schools and teachers should give more consideration to test anxiety among high school students, particularly targeting those with potential risk factors. Parents should also be more attentive to their children's development and advancement, and improve their family education principles.
RESUMO
This work was carried out to establish and validate the specific characteristic chromatography of Scutellaria Extract and evaluate the quality of commercial Scutellaria Extract and optimize production process parameters. Scutellaria Extract and formulation samples collected from different manufacturers were analyzed using HPLC-characteristic chromatogram. The HPLC characteristic peaks were considered to be the index for the parameters optimization in preparations of Scutellaria Extract. The chemical pattern recognization was applied for the analysis of characteristic peak data. The established characteristic fingerprint method possessed a good precision, repeatability, and stability. Ten common characteristic peaks were determined and identified in the specific chromatogram of 31 batches of Scutellaria Extract and 4 batches of formulation. The process parameters influenced the characteristic peaks area significantly. The similarity analysis results showed that after removing baicalin peak, the similarity of the characteristic chromatography of 9 samples were less than 0.90, indicating that the quality of commercial Scutellaria Extract was inconsistent. Non-parametric test result showed that the relative peaks area of the number 4, 6, 7 characteristic peaks had significant differences(P<0.05), indicating the differences of the Scutellaria Extract quality were mainly reflected in the characteristic peaks 4, 6 and 7(norwogonin-7-O-glucuronide, oroxylin A-7-O-glucuronide, wogonoside, respectively). The cluster analysis accurately classified 31 extract samples and 4 formulation samples into five categories based on 10 characteristic peaks. The quality of Scutellaria Extracts was comprehensively evaluated and ranked by PCA. The result showed that the higher content of baicalin, the score value of quality(F value) was lower, and the quality of the Scutellaria Extract should be evaluated by multi-components instead of a single baicalin component. The optimized characteristic peaks method is stable and reliable. It is advantageous for the extract and formulations integrative quality control by combining the chemical pattern recognization.