UNASSIGNED: Diseases and disorders related to mental health are spreading like other chronic diseases all around the world. Considering the role of food in the prevention and treatment of these disorders, including major depression, investigating the relationship between different food patterns and this disorder is of particular importance. The aim of this study was to compare Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with healthy individuals.
UNASSIGNED: In this case-control study, the final analysis was performed on 67 men and 111 women with an age range of 20-30 years. Height (cm), weight (kg), food frequency questionnaire (FFQ), physical activity (MET-min/week), demographic and PHQ-9 questionnaires were taken from all participants. In the following, all the food ingredients and their components were extracted and used to calculate HEI-2015 and DHD. Statistical analysis was performed using SPSS software with independent t-test, logistic regression and chi-square.
UNASSIGNED: It was found that people with major depression in this study were mostly women and occupied. The average HEI-2015 in healthy people and those with major depression was 58 and 54.3, respectively. Also, the average DHD in these people was 60.5 and 55, respectively. HEI-2015 and DHD had a significant negative correlation with depression score (r = -0.16, p-value = 0.03) (r = -0.19, p-value = 0.01). Also, in the logistic regression model, before and even after adjusting confounders, HEI-2015 and DHD had a reduced odds ratio in people suffering from major depression. The two groups did not differ significantly in terms of the average factors of height, weight and body mass index (BMI).
UNASSIGNED: It seems that HEI2015 and DHD have a significant relationship in reducing major depression. However, due to the small number of studies in this regard, especially in the field of DHD, the need for more studies seems necessary.

BACKGROUND: Single-time non-invasive brain stimulation was carried out using the two-technique approach on a patient suffering from treatment-resistant depression. Five treatment sessions given at weekly intervals resulted in a significant improvement in the Patient Health Questionnaire-9 score for up to 6 weeks. The findings of this study could pave the way for a more efficient less resource-intensive time- and budget-saving technique of employing non-invasive brain stimulation for patients with treatment-resistant depression by minimizing the number of stimulation sessions.
METHODS: A 67-year-old married non-Latino white American woman suffering from treatment-resistant depression received intermittent tetraburst stimulation in combination with transcranial direct current stimulation weekly for 5 consecutive weeks. Diagnostic transcranial magnetic stimulation showed an observable electrophysiological change. The patient reported a drastic improvement in Patient Health Questionnaire-9 score up until 6-week follow-up and expressed satisfaction with the treatment.
CONCLUSIONS: This case study suggests that a streamlined protocol for using non-invasive brain stimulation could prove more effective for patients and healthcare providers in terms of safety in comparison to the present guidelines.

OBJECTIVE: The Patient Health Questionnaire (PHQ-9) is a widely used screening tool for major depressive disorder (MDD), although there is debate surrounding its diagnostic properties. For the PHQ-9, we aimed to: 1. Establish the diagnostic performance at the standard cutoff point (10). 2. Compare the diagnostic performance at the standard cutoff point in different clinical settings. 3. Assess whether there is selective reporting of cutoff points other than 10.
METHODS: We searched three databases - Embase, MEDLINE and PSYCHInfo - and performed a reverse citation search in Web of Science. We selected for inclusion studies of any design that assessed the PHQ-9 in adult populations against recognized gold-standard instruments for the diagnosis of either Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases criteria for major depression. Included studies had to report sufficient information to calculate 2*2 contingency tables. Data extraction and synthesis were performed independently by two researchers. For the included studies, we calculated pooled sensitivity, pooled specificity, positive likelihood, negative likelihood ratio and diagnostic odds ratio for cutoff points 7 to 15.
RESULTS: Thirty-six studies (21,292 patients) met inclusion criteria. Pooled sensitivity for cutoff point 10 was 0.78 [95% confidence interval (CI), 0.70-0.84], and pooled specificity was 0.87 (95% CI, 0.84-0.90). At this cutoff, the PHQ-9 is a better screener in primary care than secondary care settings. No conclusions could be drawn at cutoff points other than 10 due to selective reporting of data.
CONCLUSIONS: For MDD, the PHQ-9 has acceptable diagnostic properties at cutoff point 10 in different settings. We recommend that future studies report the full range of cutoff points to allow exploration of optimal cutoff points in different settings.