Major depression is associated with increased mortality, but it is not known whether patients who report depressive symptoms have greater mortality.
We performed a prospective cohort study of 7518 white women 67 years of age or older who were recruited from population-based listings in Baltimore, Md, Minneapolis, Minn, Portland, Ore, and the Monongahela Valley, Pa. Participants completed the Geriatric Depression Scale (short form) and were considered depressed if they reported 6 or more of 15 possible symptoms of depression. Women were followed up for an average of 6 years. If a participant died, we obtained a copy of the official death certificate and hospital records, if available, and used International Classification of Diseases, Ninth Revision, codes to classify death attributable to cardiovascular, cancer, or noncancer, noncardiovascular cause.
Mortality during 7-year follow-up varied from 7% in women with no depressive symptoms to 17% in those with 3 to 5 symptoms to 24% in those with 6 or more symptoms of depression (P<.001). Of 473 women (6.3%) with 6 or more depressive symptoms at baseline, 24% died (111 deaths in 2610 woman-years of follow-up) compared with 11% of women who reported 5 or fewer symptoms of depression (760 deaths in 41 460 woman-years of follow-up) (P<.001). Women with 6 or more depressive symptoms had a 2-fold increased risk of death (age-adjusted hazard ratio [HR], 2.14; 95% confidence interval [CI], 1.75-2.61; P<.001) compared with those who had 5 or fewer depressive symptoms. This association remained strong after adjusting for potential confounding variables, including history of myocardial infarction, stroke, diabetes mellitus, hypertension, chronic obstructive pulmonary disease, smoking, perceived health, and cognitive function (HR, 1.47; 95% CI, 1.14-1.88; P=.003). Depressive symptoms were associated with an increased adjusted risk of death from cardiovascular diseases (HR, 1.8; 95% CI, 1.2-2.5; P= .003), and non-cancer, noncardiovascular diseases (HR, 1.8; 95% CI, 1.2-2.7; P = .01), but were not associated with deaths from cancer (HR, 1.0; 95% CI, 0.6-1.7; P=.93).
Depressive symptoms are a significant risk factor for cardiovascular and noncancer, noncardiovascular mortality but not cancer mortality in older women. Whether depressive symptoms are a marker for, or a cause of, life-threatening conditions remains to be determined.
"Depressive disorders are a major burden for the healthcare systems worldwide leading to loss of productivity, functional decline, and increased mortality [1-6]. The daily functioning and overall health of patients with depression can be improved when patients receive appropriate therapies [7,8]. "
[Show abstract][Hide abstract] ABSTRACT: Screening for depressive disorders in the general adult population is recommended, however, it is unclear which instruments combine user friendliness and diagnostic utility. We evaluated the test performance of a yes/no single item screener for depressive disorders ("Have you felt depressed or sad much of the time in the past year?") in comparison to the depressive disorder module of the Patient Health Questionnaire (PHQ-9).
Data from 3184 participants of the population-based KORA F3 survey in Augsburg/ Germany were used to analyse sensitivity, specificity, ROC area, positive likelihood ratio (LR+), negative likelihood ratio (LR-), positive predictive value (PPV), and negative predictive value (NPV) of the single item screener in comparison with "depressive mood" and "major depressive disorder" defined according to PHQ-9 (both interviewer-administered versions).
In comparison to PHQ-9 "depressive mood", sensitivity was low (46%) with an excellent specificity (94%), (PPV 76%; NPV 82%; LR + 8.04; LR- .572, ROC area .702). When using the more conservative definition for "major depressive disorder", sensitivity increased to 83% with a specificity of 88%. The PPV under the conservative definition was low (32%), but NPV was 99% (LR + 6.65; LR- .196; ROC area .852). Results varied across age groups and between males and females.
The single item screener is able to moderately decrease post-test probability of major depressive disorders and to identify populations that should undergo additional, more detailed evaluation for depression. It may have limited utility in combination with additional screening tests or for selection of at-risk populations, but cannot be recommended for routine use as a screening tool in clinical practice.
BMC Family Practice 12/2013; 14(1):198. DOI:10.1186/1471-2296-14-198 · 1.67 Impact Factor
"Depression is also highly prevalent in patients with CAD, At any time point, about 20% of patients with CAD are experiencing an episode of major depression, and a comparable proportion have minor depression;
[18-23]. Studies have found that a history of major depression,
[3,4] depression symptoms,
[5-12] clinical depression,
[4,13-16] and an increase in depression symptoms over time
[16,17] predict incidence of heart disease and death from cardiac causes. Depression is not only a risk factor for incident CAD, but also for cardiac mortality and morbidity in patients who have established heart disease. "
[Show abstract][Hide abstract] ABSTRACT: Coronary artery disease (CAD) is a major cause of death and disability worldwide. Depression has complex bidirectional adverse associations with CAD, although the mechanisms mediating these relationships remain unclear. Compared to European Americans, African Americans (AAs) have higher rates of morbidity and mortality from CAD. Although depression is common in AAs, its role in the development and features of CAD in this group has not been well examined. This project hypothesizes that the relationships between depression and CAD can be explained by common physiological pathways and gene-environment interactions. Thus, the primary aims of this ongoing project are to: a) determine the prevalence of CAD and depression phenotypes in a population-based sample of community-dwelling older AAs; b) examine the relationships between CAD and depression phenotypes in this population; and c) evaluate genetic variants from serotoninP and inflammatory pathways to discover potential gene-depression interactions that contribute significantly to the presence of CAD in AAs.Methods/design: The St. Louis African American Health (AAH) cohort is a population-based panel study of community-dwelling AAs born in 1936--1950 (inclusive) who have been followed from 2000/2001 through 2010. The AAH-Heart study group is a subset of AAH participants recruited in 2009--11 to examine the inter-relationships between depression and CAD in this population. State-of-the-art CAD phenotyping is based on cardiovascular characterizations (coronary artery calcium, carotid intima-media thickness, cardiac structure and function, and autonomic function). Depression phenotyping is based on standardized questionnaires and detailed interviews. Single nucleotide polymorphisms of selected genes in inflammatory and serotonin-signaling pathways are being examined to provide information for investigating potential gene-depression interactions as modifiers of CAD traits. Information from the parent AAH study is being used to provide population-based prevalence estimates. Inflammatory and other biomarkers provide information about potential pathways.
This population-based investigation will provide valuable information on the prevalence of both depression and CAD phenotypes in this population. The study will examine interactions between depression and genetic variants as modulators of CAD, with the intent of detecting mechanistic pathways linking these diseases to identify potential therapeutic targets. Analytic results will be reported as they become available.
"Depression predicted fatal cardiovascular disease. Whooley & Browner 1998 Prospective study of 7,518 white women 67 years and older, from several USA cities, were followed after 7 years, controlling for many diseases and cognitive functioning. Depression at T1 strongly predicted all-cause mortality, cardiovascular death, and cardiovascular disease, but not deaths from cancer. "
[Show abstract][Hide abstract] ABSTRACT: Seven types of evidence are reviewed that indicate that high subjective well-being (such as life satisfaction, absence of negative emotions, optimism, and positive emotions) causes better health and longevity. For example, prospective longitudinal studies of normal populations provide evidence that various types of subjective well-being such as positive affect predict health and longevity, controlling for health and socioeconomic status at baseline. Combined with experimental human and animal research, as well as naturalistic studies of changes of subjective well-being and physiological processes over time, the case that subjective well-being influences health and longevity in healthy populations is compelling. However, the claim that subjective well-being lengthens the lives of those with certain diseases such as cancer remains controversial. Positive feelings predict longevity and health beyond negative feelings. However, intensely aroused or manic positive affect may be detrimental to health. Issues such as causality, effect size, types of subjective well-being, and statistical controls are discussed.
Applied Psychology Health and Well-Being 01/2011; 3(1):1 - 43. DOI:10.1111/j.1758-0854.2010.01045.x · 1.75 Impact Factor
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