Clinical subtypes of depression are associated with specific metabolic parameters and circadian endocrine profiles in women: the power study.

Section on Neuroendocrinology of Obesity, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America.
PLoS ONE (Impact Factor: 3.53). 01/2012; 7(1):e28912. DOI: 10.1371/journal.pone.0028912
Source: PubMed

ABSTRACT Major depressive disorder (MDD) has been associated with adverse medical consequences, including cardiovascular disease and osteoporosis. Patients with MDD may be classified as having melancholic, atypical, or undifferentiated features. The goal of the present study was to assess whether these clinical subtypes of depression have different endocrine and metabolic features and consequently, varying medical outcomes.
Premenopausal women, ages 21 to 45 years, with MDD (N = 89) and healthy controls (N = 44) were recruited for a prospective study of bone turnover. Women with MDD were classified as having melancholic (N = 51), atypical (N = 16), or undifferentiated (N = 22) features. Outcome measures included: metabolic parameters, body composition, bone mineral density (BMD), and 24 hourly sampling of plasma adrenocorticotropin (ACTH), cortisol, and leptin.
Compared with control subjects, women with undifferentiated and atypical features of MDD exhibited greater BMI, waist/hip ratio, and whole body and abdominal fat mass. Women with undifferentiated MDD characteristics also had higher lipid and fasting glucose levels in addition to a greater prevalence of low BMD at the femoral neck compared to controls. Elevated ACTH levels were demonstrated in women with atypical features of depression, whereas higher mean 24-hour leptin levels were observed in the melancholic subgroup.
Pre-menopausal women with various features of MDD exhibit metabolic, endocrine, and BMD features that may be associated with different health consequences. NCT00006180.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The series of Mount Merapi eruptions, which involved a big explosion on 26 October 2010, had been made the damages. It caused the residents, especially those having responsible for other people such as mothers, volunteers, teachers and village apparatus, get depressed. They went through so much depression because besides as survivors their beings were important to others. Therefore, the impacts they felt were not only physical but also psychological. In addition to depression, they were attacked by anxiety. The subjects of this research were groups of mothers, volunteers, teachers and village officials of Sirahan Village, Magelang Regency. Intervention of Hope to lessen depression was taken to them in order to help them face the post-disaster situations. Hope Intervention covered session aiming to identify goals, plan strategies and strengthen motivation to reach the goals. The intervention was taken in four-time meeting with duration of more or less two hours per meeting. The research used a design involving untreated control group with dependent pre-test and post-test and waiting list control group. The control group was given the same treatment after the research process ended. The scores gained by both groups were analyzed with Mann-Whitney Test. The data resulted from observation were analyzed qualitatively. Both analyzing methods showed that there was significant difference of the average of depression rate between the experiment group and the control group at the pre-test and post-test with the value of F = 11.589; p=0.001 (p<0.05). This result showed that hope intervention had significant influence on decreasing the depression rate in the experiment group compared with that in the control group. Therefore it can be concluded that Hope Intervention can lessen depression in the survivors of natural disaster.
    Procedia - Social and Behavioral Sciences 01/2015; 165. DOI:10.1016/j.sbspro.2014.12.619
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Depression is one of the major global health challenges and a leading contributor of health related disability and costs. Depression is a heterogeneous disorder and current methods for assessing its severity in clinical practice rely on symptom count, however this approach is unreliable and inconsistent. The clinical evaluation of depressive symptoms is particularly challenging in primary care, where the majority of patients with depression are managed, due to the presence of co-morbidities. Current methods for risk assessment of depression do not accurately predict treatment response or clinical outcomes. Several biological pathways have been implicated in the pathophysiology of depression; however, accurate and predictive biomarkers remain elusive. We conducted a systematic review of the published evidence supporting the use of peripheral biomarkers to predict outcomes in depression, using Medline and Embase. Peripheral biomarkers in depression were found to be statistically significant predictors of mental health outcomes such as treatment response, poor outcome and symptom remission; and physical health outcomes such as increased incidence of cardiovascular events and deaths, and all-cause mortality. However, the available evidence has multiple methodological limitations which must be overcome to make any real clinical progress. Despite extensive research on the relationship of depression with peripheral biomarkers, its translational application in practice remains uncertain. In future, peripheral biomarkers identified with novel techniques and combining multiple biomarkers may have a potential role in depression risk assessment but further research is needed in this area.
    Frontiers in Human Neuroscience 02/2015; 9:18. DOI:10.3389/fnhum.2015.00018 · 2.90 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Depression is supposed to be associated with an unhealthy lifestyle including poor diet. The objective of this study was to investigate differences in diet quality between patients with a clinical diagnosis of depression and population-based controls. Additionally, we aimed to examine effects of specific depression characteristics on diet by analyzing if diet quality varies between patients with distinct depression subtypes, and if depression severity is associated with diet quality. The study included 1660 participants from the BiDirect Study (n = 840 patients with depression, n = 820 population-based controls). The psychiatric assessment was based on clinical interviews and a combination of depression scales in order to provide the classification of depression subtypes and severity. Diet quality scores, reflecting the adherence to a healthy dietary pattern, were calculated on the basis of an 18-item food frequency questionnaire. Using analysis of covariance, we calculated adjusted means of diet quality scores and tested differences between groups (adjusted for socio-demographic, lifestyle-, and health-related factors). We found no differences in diet quality between controls and patients with depression if depression was considered as one entity. However, we did find differences between patients with distinct subtypes of depression. Patients with melancholic depression reported the highest diet quality scores, whereas patients with atypical depression reported the lowest scores. Depression severity was not associated with diet quality. Previous literature has commonly treated depression as a homogeneous entity. However, subtypes of depression may be associated with diet quality in different ways. Further studies are needed to enlighten the diet-depression relationship and the role of distinct depression subtypes.
    BMC Psychiatry 12/2015; 15(1):426. DOI:10.1186/s12888-015-0426-9 · 2.24 Impact Factor

Full-text (2 Sources)

Available from
Jun 1, 2014