Our objective was to evaluate levels of trait and state anxiety in a group of peri- and postmenopausal women and to explore the relation of hormonal therapy to levels of anxiety. Peri- (n = 63) and postmenopausal (n = 236) women were evaluated between March and September 2013. The assessed variables were menopausal status, anxiety (using the state and trait anxiety inventory), and sociodemographic and clinical variables. Use of psychotropic medications and hormone therapy was also ascertained. The mean age of the participants was 51.9 years, ranging from 31 to 69 years. The mean state anxiety scores, as well as the mean trait anxiety scores, were higher in perimenopausal than postmenopausal women. High state anxiety (above the 75th percentile), but not high trait anxiety, was related to perimenopausal status. Anxiety levels appeared to be higher among perimenopausal than postmenopausal women, as also occurs with depressive symptoms. Anxiety state provides data about recent anxiety symptoms in women; however, anxiety trait could be present in some women before perimenopause. Our findings suggest that perimenopause is a period with increased anxiety levels in some women.

ImportanceGuided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT as guided i-CBT.ObjectiveTo develop an individualized treatment rule using machine learning methods for guided i-CBT vs self-guided i-CBT based on a rich set of baseline predictors.Design, Setting, and ParticipantsThis prespecified secondary analysis of an assessor-blinded, multisite randomized clinical trial of guided i-CBT, self-guided i-CBT, and treatment as usual included students in Colombia and Mexico who were seeking treatment for anxiety (defined as a 7-item Generalized Anxiety Disorder [GAD-7] score of ≥10) and/or depression (defined as a 9-item Patient Health Questionnaire [PHQ-9] score of ≥10). Study recruitment was from March 1 to October 26, 2021. Initial data analysis was conducted from May 23 to October 26, 2022.InterventionsParticipants were randomized to a culturally adapted transdiagnostic i-CBT that was guided (n = 445), self-guided (n = 439), or treatment as usual (n = 435).Main Outcomes and MeasuresRemission of anxiety (GAD-7 scores of ≤4) and depression (PHQ-9 scores of ≤4) 3 months after baseline.ResultsThe study included 1319 participants (mean [SD] age, 21.4 [3.2] years; 1038 women [78.7%]; 725 participants [55.0%] came from Mexico). A total of 1210 participants (91.7%) had significantly higher mean (SE) probabilities of joint remission of anxiety and depression with guided i-CBT (51.8% [3.0%]) than with self-guided i-CBT (37.8% [3.0%]; P = .003) or treatment as usual (40.0% [2.7%]; P = .001). The remaining 109 participants (8.3%) had low mean (SE) probabilities of joint remission of anxiety and depression across all groups (guided i-CBT: 24.5% [9.1%]; P = .007; self-guided i-CBT: 25.4% [8.8%]; P = .004; treatment as usual: 31.0% [9.4%]; P = .001). All participants with baseline anxiety had nonsignificantly higher mean (SE) probabilities of anxiety remission with guided i-CBT (62.7% [5.9%]) than the other 2 groups (self-guided i-CBT: 50.2% [6.2%]; P = .14; treatment as usual: 53.0% [6.0%]; P = .25). A total of 841 of 1177 participants (71.5%) with baseline depression had significantly higher mean (SE) probabilities of depression remission with guided i-CBT (61.5% [3.6%]) than the other 2 groups (self-guided i-CBT: 44.3% [3.7%]; P = .001; treatment as usual: 41.8% [3.2%]; P < .001). The other 336 participants (28.5%) with baseline depression had nonsignificantly higher mean (SE) probabilities of depression remission with self-guided i-CBT (54.4% [6.0%]) than guided i-CBT (39.8% [5.4%]; P = .07).Conclusions and RelevanceGuided i-CBT yielded the highest probabilities of remission of anxiety and depression for most participants; however, these differences were nonsignificant for anxiety. Some participants had the highest probabilities of remission of depression with self-guided i-CBT. Information about this variation could be used to optimize allocation of guided and self-guided i-CBT in resource-constrained settings.Trial RegistrationClinicalTrials.gov Identifier: NCT04780542

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Introduction. Academic performance in medical students can be influenced by several factors, including those related to mental health and family relationships. Objective. To examine the factors affecting academic performance in medical students, specifically considering potential diagnoses of depression. Method. A survey was conducted among 747 fourth-year medical students. The survey included questions on sociodemographic variables, mental health, and well-being. The Patient Health Questionnaire (PHQ) was utilized, encompassing sections on depression, anxiety, panic, eating habits, alcohol consumption, and the Stress Perception Scale. Academic performance was assessed based on students' Grade Point Average (GPA). Descriptive statistics, Pearson correlation coefficients, and a linear regression model were employed for data analysis. Results. The study revealed several variables significantly associated with GPA. Age (r = -.388), financial situation (r = .241), relationships with cohabitants (r = .165), and relationships with peers (r = .217) were found to have a correlation with academic performance. Additionally, repeating a course was found to be significantly associated with a person's GPA (r = .518) even after controlling for depression. Discussion and conclusion. The findings indicate that robust mental health, a favorable financial situation, and positive interpersonal relationships are crucial for achieving optimal academic performance in medical students. These results emphasize the need to address mental health concerns, promote a supportive social environment, and provide financial assistance to enhance the educational outcomes of medical students.