scholarly journals Mood Disorders in Middle-Aged and Older Veterans With Multimorbidity

2016 ◽  
Vol 29 (4) ◽  
pp. 657-668 ◽  
Author(s):  
Elizabeth A. DiNapoli ◽  
Adam D. Bramoweth ◽  
Karen L. Whiteman ◽  
Barbara H. Hanusa ◽  
John Kasckow

Objective: This study identified the prevalence of and relationship between mood disorders and multimorbidity in middle-aged and older veterans. Method: Cross-sectional data were obtained from veterans who received primary care services at VA Pittsburgh Healthcare System from January 2007 to December 2011 ( n = 34,786). Results: Most veterans had three or more organ systems with chronic disease (95.3%), of which 4.1% had a depressive disorder, 2.5% had an anxiety disorder, and 0.7% had co-occurring depression and anxiety. The odds of having a mood disorder increased with each additional organ system with chronic disease, with odds being the greatest in those with 10 to 13 organ systems with chronic disease. Younger age, female gender, non-married marital status, and having a service connected disability were also significant predictors of having a mood disorder. Discussion: These findings suggest a need to integrate mental health assessment and treatment in chronic health care management for veterans.

2010 ◽  
Vol 99 (7) ◽  
pp. 1060-1064 ◽  
Author(s):  
DM Haller ◽  
P Sebo ◽  
B Cerutti ◽  
D Bertrand ◽  
A Eytan ◽  
...  

Author(s):  
Susan Mineka ◽  
Deepika Anand ◽  
Jennifer A. Sumner

The comorbidity of anxiety and mood disorders has been of great interest to psychopathology researchers for the past 25 years. One topic––the comorbidity of generalized anxiety disorder (GAD) and major depressive disorder (MDD)––has received considerable attention, in part because it has raised fundamental nosological issues regarding whether GAD should continue to be categorized as an anxiety disorder or whether it should be recategorized as a mood disorder. We review the logic for reclassifying GAD with the mood disorders as well as what we believe to be even more compelling reasons for why it should be retained as an anxiety disorder. In doing so, we review three different kinds of comorbidity—cross-sectional, cumulative (lifetime), and sequential. We also discuss overlaps and distinctions in what is known about the etiology of GAD and MDD and how their somewhat different cognitive and affective profiles bear on these issues of classification. Finally, we briefly discuss what some of the treatment implications may be for individuals with comorbid GAD and MDD.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Wei-Chen Lee ◽  
Marcia G. Ory

The current aging trends accompanying the increasing prevalence of multiple chronic conditions (MCCs) and decreasing participation in physical activity (PA) have swept the United States. In light of the magnitude of this phenomenon, this study seeks to identify the most common MCC combinations and their relationships with PA level. A cross-sectional study,Brazos Valley Health Assessment, was conducted between October 2009 and July 2010. All data analyses were performed by STATA 12.0. The overall sample which met the inclusion criteria is 2,603. Among people older than 45 years, chronic conditions of cardiovascular, endocrine, and musculoskeletal systems were the most prevalent. Participants with three chronic conditions were less likely to meet the PA standard than those with only two chronic conditions. Younger age, women, rural residence, and unsafe environments were related to the lower PA level. After adjusting for seven covariates, all MCCs combinations adversely affect the level of PA (, ). People with MCCs were among the least active subgroups despite the health benefits of doing exercise. Given the well-documented benefits of physical activity for delaying the onset or progression of MCCs, public health efforts to enhance regular PA in middle-aged and older adults are recommended.


2014 ◽  
Vol 200 (3) ◽  
pp. 170-175 ◽  
Author(s):  
Anna H Yeung ◽  
Meredith Temple‐Smith ◽  
Christopher K Fairley ◽  
Alaina M Vaisey ◽  
Rebecca Guy ◽  
...  

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Marek Oleszczyk ◽  
Anna Krztoń-Królewiecka ◽  
Willemijn L. A. Schäfer ◽  
Wienke G. W. Boerma ◽  
Adam Windak

2004 ◽  
Vol 185 (3) ◽  
pp. 227-232 ◽  
Author(s):  
Nicholas W. J. Wainwright ◽  
Paul G. Surtees

BackgroundAssociations have been demonstrated between contextual (area level) factors and a range of physical health outcomes, but their relationship with mental health outcomes is less well understood.AimsTo investigate the relative strength of association between individual and area-level demographic and socioeconomic factors and mood disorder prevalence in the UK.MethodCross-sectional data from 19 687 participants from the European Prospective Investigation into Cancer and Nutrition in Norfolk.ResultsArea deprivation was associated with current (12-month) mood disorders after adjusting for individual-level socio-economic status (OR for top v. bottom quartile of deprivation scores 1.29, 95% C11.1–1.5, P < 0.001). However, this association was small relative to those observed for individual marital and employment status. Significant residual area-level variation in current mood disorders (representing 3.6% of total variation, P=0.04) was largely accounted for by individual-level factors.ConclusionsThe magnitude of the association between socio-economic status and mood disorders is greater at the individual level than at the area level.


1996 ◽  
Vol 41 (1) ◽  
pp. 23-27 ◽  
Author(s):  
E Persad ◽  
Oj Oluboka ◽  
V Sharma ◽  
D Mazmanian ◽  
K Kueneman

Objective: To review the various pharmacological and nonpharmacological factors associated with the induction of rapid cycling in bipolar mood disorder, and to introduce the idea that parturition may also have a role. Factors known to contribute to bipolar mood disorder rapid cycling include antidepressant agents, female gender and middle age. Currently, there is evidence that hypothyroidism may also play a role. Method: A critical review of the literature was undertaken. Conclusion: Caution should be exercised in the use of antidepressants in patients with bipolar mood disorders.


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