Salivary Cortisol Awakening Response as a Predictor for Depression Severity in Adult Patients with a Major Depressive Episode Performing a Daily Exercise Program

<b><i>Introduction:</i></b> The hypothalamic-pituitary-adrenal axis function in depression has been the subject of considerable interest, and its function has been tested with a variety of methods. We investigated associations between saliva cortisol at awakening and the 24-h urine cortisol output, both measured at study baseline, with endpoint depression scores. <b><i>Methods:</i></b> Patients were admitted to a psychiatric inpatient ward with a major depressive episode and were started on fixed duloxetine treatment. They delivered saliva samples at awakening and 15, 30, and 60 min post-awakening and sampled urine for 24 h. Subsequently, they started a daily exercise program maintained for a 9-week period. Clinician-rated depression severity was blindly assessed with the Hamilton Depression Rating 6-item subscale (HAM-D₆). The cortisol awakening response was quantified by the area under the curve with respect to the ground (AUC_G) and with respect to the rise (AUC_I) using saliva cortisol levels in the 1-h period after awakening. Analysis of expected associations between depression severity, AUC_G, AUC_I, exercise, and 24-h cortisol output was performed in a general linear model. <b><i>Results:</i></b> In all, 35 participants delivered saliva or 24-h urine samples. The mean age was 49.0 years (SD = 11.0) with 48.6% females with a mean baseline HAM-D₆ score of 12.2 (SD = 2.3). In a statistical model investigating the association between HAM-D₆ at week 9 as a dependent variable and AUC_I, concurrent HAM-D₆, gender, smoking, and exercise volume as covariates, we found a significant effect of AUC_I, concurrent HAM-D₆, and exercise. The following statistics were found: AUC_I (regression coefficient 0.008; <i>F</i> value = 9.1; <i>p</i> = 0.007), concurrent HAM-D₆ (regression coefficient 0.70; <i>F</i> value = 8.0; <i>p</i> = 0.01), and exercise (regression coefficient −0.005; <i>F</i> value = 5.7; <i>p</i> = 0.03). The model had an <i>R</i>² of 0.43. The association between HAM-D₆ endpoint scores and the AUC_I showed that higher AUC_I values predicted higher HAM-D₆ endpoint values. The association between HAM-D₆ endpoint scores and the exercise level showed that a high exercise level was associated with lower HAM-D₆ endpoint values. <b><i>Conclusion:</i></b> The results thus showed that high AUC_I values predicted less improvement of depression and high exercise levels predicted more improvement of depression. These findings need to be confirmed in larger samples to test if more covariates can improve prediction of depression severity.

Effects of mental health and substance use disorder symptoms on the association between STDs and sexual identity: evidence from the 2017–2019 National Survey on Drug Use and Health

Background Sexually transmitted disease (STD) cases are rising in the USA, especially among sexual and gender minorities, despite the availability of numerous STD prevention programs. We examined the differences in STD prevalence among sexual and gender minority subgroups with major depressive episode symptoms and substance use dependence. Methods We combined 2017, 2018, and 2019 National Survey on Drug Use and Health (NSDUH) public-use data on adults (N = 127,584) to conduct weighted multivariable logistic regression and margins analyses. Results Approximately 2.05% of the population reported having STDs. The population that had major depressive episode symptoms (AOR = 1.70, 95% CI = 1.46, 1.99), alcohol use dependence (AOR = 1.79, 95% CI = 1.49, 2.16), illicit drug use other than marijuana use dependence (AOR = 2.25, 95% CI = 1.73, 2.92), or marijuana use dependence (AOR = 1.90, 95% CI = 1.57, 2.31) had higher odds of contracting STDs compared to their counterparts. Lesbian/gay (AOR = 2.81, 95% CI = 2.24, 3.54) and bisexual (AOR = 1.95, 95% CI = 1.60, 2.37) individuals had higher odds of contracting STDs. Lesbians/gays with major depressive episode symptoms, alcohol use dependence, or illicit drug use other than marijuana use dependence had the highest probability of having STDs, compared to bisexuals and heterosexuals with major depressive episode symptoms, alcohol use, or illicit drug use other than marijuana use dependence. Bisexuals with marijuana use dependence had the highest probability of STD contraction compared to their lesbian/gay and heterosexual counterparts. Within each sexual identity subgroup, the probability of having STDs was higher for individuals with major depressive episode symptoms, or dependence on alcohol use, illicit drug use other than marijuana use, or marijuana use compared to their counterparts. Conclusion Major depressive episode symptoms, substance use dependence, and sexual and gender minority status had higher risks for STD diagnosis, particularly for sexual and gender minorities with major depressive episode symptoms or substance use dependence. Tailored interventions based on major depressive episode symptoms and substance use dependence may reduce the prevalence of STD, especially among sexual and gender minorities.

Clinical Features and Outcomes of 124 Italian Patients With Treatment Resistant Depression: A Real-World, Prospective Study

Introduction: Treatment-resistant depression (TRD) is a debilitating condition affecting 20–30% of patients with major depressive disorders (MDD). Currently, there is no established standard of care for TRD, and wide variation in the clinical approach for disease management has been documented. Real-world data could help describe TRD clinical features, disease burden, and treatment outcome and identify a potential unmet medical need.Methods: We analyzed the Italian data from a European, prospective, multicentric, observational cohort study of patients fulfilling TRD criteria by the European Medicine Agency, with moderate to severe major depressive episode, and starting a new antidepressant treatment according to routinary clinical practice. They were followed up for minimum 6 months. Treatments received throughout the study period, disease severity, health-related quality of life and functioning were prospectively recorded and analyzed.Results: The Italian subcohort included 124 TRD patients (30.2% of patients of the European cohort; mean age 53.2 [sd = 9.8], women: 82, 66.1%). At enrollement, the mean (SD) duration of MDD was 16 years (sd = 11.1) and the mean duration of the ongoing major depressive episode (MDE) was 97.5 weeks (sd = 143.5); low scores of quality of life and functioning were reported. The most frequently antidepressant classes started at baseline (data available for 98 subjects) were selective serotonin reuptake inhibitors (SSRI, 42 patients [42.9%]) and serotonin-norepinephrine reuptake inhibitors (SNRI, 32 patients [32.7%]). In terms of treatment strategies, 50 patients (51%) started augmentation therapies, 18 (18.4%) combination therapies and 24 (24.5%) monoterapies (6 patients [6%] started a non-antidepressant drug only). Fourteen patients (11.3%) were treated with a psychosocial approach, including psychotherapy. After 6 months of treatment, clinical assessments were collected for 89 patients: 64 (71.9%) showed no response, 9 (10.1%) response without remission and 16 (18.0%) were in remission; non-responder patients showed lower quality of life and higher disability scores than responder patients.Conclusions: In our sample of TRD patients, we documented substantial illness burden, low perceived quality of life and poor outcome, suggesting an unmet treatment need in TRD care in Italy.Registration Number:ClinicalTrials.gov, number: NCT03373253.

Association between sitting time at work and the onset of major depressive episode: a 1-year prospective cohort study using the Bayesian regression

Background Although sedentary behavior is associated with the onset of major depressive disorder, it remains unclear whether sedentary behavior at work increases the risk of depression. The present study used the Bayesian approach to investigate the association between sitting time at work and the onset of major depressive episode (MDE). Methods A 1-year prospective cohort study was conducted among 233 Japanese workers without MDE (response rate: 4.3%). MDE onset was assessed using the self-reported WHO Composite International Diagnostic Interview version 3.0. A Bayesian Cox proportional hazard model was used to estimate the hazard ratio (HR) between long sitting time at work and MDE onset. Results A total of 231 workers were included in the analysis. During the follow-up, 1621 person-months were observed, and six participants experienced MDE onset. Incident rates per months were 0.34, 0.11, and 1.02% in short (< 7.2 h per day), medium (7.2–9.5 h), and long (9.5+ h) sitting time at work, respectively. The estimated median posterior probability distribution of the HR of long sitting time was 3.00 (95% highest density interval [HDI]: 0.73–12.03). The estimated median remained positive after adjustment for physical activity level and other covariates (HR = 2.11, 95% HDI: 0.42–10.22). The 10-base Bayesian factor for H1 (HR = 1.00) compared with the alternatives (H0, HR = 1.00) was 0.68 in the adjusted model. The analysis, which treated sitting time at work as a continuous variable, estimated that the median of the posterior probability distribution of the HR of sitting time was 0.79 (95% HDI: 0.58–1.07. The 10-base Bayesian factor was 2.73 in the linear association. Conclusions Long sitting time at work (9.5+ h per day) might be associated with MDE onset among workers. However, the linear association indicated conflicting results. Non-linear associations between sitting time and MDE onset might explain this inconsistency. The evidence for an adverse association between sitting time at work and MDE onset remains inconclusive.