The significance of depression in older patients after myocardial infarction

Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study

BACKGROUND

Although significant and disabling consequences are presented due to geriatric population-related depression, an insufficient comprehension of various biological, psychological, and social factors affecting this issue has been observed. Notably, these factors can contribute to geriatric population-related depression with low social support. This study aimed to identify factors associated with depression among the community-dwelling geriatric population with low social support in Malaysia.

METHODS

This study used secondary data from a population-based health survey in Malaysia, namely the National Health Morbidity Survey (NHMS) 2018: Elderly Health. The analysis included 926 community-dwelling geriatric population aged 60 and above with low social support. The primary data collection was from August to October 2018, using face-to-face interviews. This paper reported the analysis of depression as the dependent variable, while various biological, psychological and social factors, guided by established biopsychosocial models, were the independent variables. Multiple logistic regression was applied to identify the factors. Analysis was performed using the complex sampling module in the IBM SPSS version 29.

RESULTS

The weighted prevalence of depression among the community-dwelling geriatric population aged 60 and above with low social support was 22.5% (95% CI: 17.3-28.7). This was significantly higher than depression among the general geriatric Malaysian population. The factors associated with depression were being single, as compared to those married (aOR 2.010, 95% CI: 1.063-3.803, p: 0.031), having dementia, as opposed to the absence of the disease (aOR 3.717, 95% CI: 1.544-8.888, p: 0.003), and having a visual disability, as compared to regular visions (aOR 3.462, 95% CI: 1.504-7.972, p: 0.004). The analysis also revealed that a one-unit increase in control in life and self-realisation scores were associated with a 32.6% (aOR: 0.674, 95% CI: 0.599-0.759, p < 0.001) and 24.7% (aOR: 0.753, 95% CI: 0.671-0.846, p < 0.001) decrease in the likelihood of developing depression, respectively.

CONCLUSION

This study suggested that conducting depression screenings for the geriatric population with low social support could potentially prevent or improve the management of depression. The outcome could be achieved by considering the identified risk factors while implementing social activities, which enhanced control and self-fulfilment.

The Influence of Social Support on Depression among Elderly People in Serbia

Social factors such as social support, integration, and belonging to the community are positive resources against adverse events and living conditions. This study at examining the influence of social support on depression among elderly people in Serbia. The research was done according to the type of cross-sectional study, a mass survey of a random, representative stratified two-stage sample of the population of Serbia in 2013, which was conducted by the Ministry of Health of the Republic of Serbia. The target population consisted of 3540 respondents aged 65 and over. The Patient Health Questionnaire-8 (PHQ-8) was used to evaluate the presence of depressive symptoms and the social support score from the questionnaire Oslo-3 scale of social support. The relations between depression symptoms and social support were examined with univariate logistic regression analyses. In the univariate regression model, social support stood out as a strong predictor of depression. People with weak social support are three and a half times more likely (OR = 3.45) to have depression compared to those with strong social support. Men with small social support were more likely to have depression (OR = 5.08) than women (OR = 3.41). These results indicate the urgency of addressing depression as a public health priority to reduce the burden and disability and improve the overall health of the elderly population.

Cardiovascular disease and subsequent risk of psychiatric disorders: a nationwide sibling-controlled study

Background

The association between cardiovascular disease (CVD) and selected psychiatric disorders has frequently been suggested while the potential role of familial factors and comorbidities in such association has rarely been investigated.

Methods

We identified 869,056 patients newly diagnosed with CVD from 1987 to 2016 in Sweden with no history of psychiatric disorders, and 910,178 full siblings of these patients as well as 10 individually age- and sex-matched unrelated population controls (N = 8,690,560). Adjusting for multiple comorbid conditions, we used flexible parametric models and Cox models to estimate the association of CVD with risk of all subsequent psychiatric disorders, comparing rates of first incident psychiatric disorder among CVD patients with rates among unaffected full siblings and population controls.

Results

The median age at diagnosis was 60 years for patients with CVD and 59.2% were male. During up to 30 years of follow-up, the crude incidence rates of psychiatric disorder were 7.1, 4.6, and 4.0 per 1000 person-years for patients with CVD, their siblings and population controls. In the sibling comparison, we observed an increased risk of psychiatric disorder during the first year after CVD diagnosis (hazard ratio [HR], 2.74; 95% confidence interval [CI], 2.62-2.87) and thereafter (1.45; 95% CI, 1.42-1.48). Increased risks were observed for all types of psychiatric disorders and among all diagnoses of CVD. We observed similar associations in the population comparison. CVD patients who developed a comorbid psychiatric disorder during the first year after diagnosis were at elevated risk of subsequent CVD death compared to patients without such comorbidity (HR, 1.55; 95% CI, 1.44-1.67).

Conclusions

Patients diagnosed with CVD are at an elevated risk for subsequent psychiatric disorders independent of shared familial factors and comorbid conditions. Comorbid psychiatric disorders in patients with CVD are associated with higher risk of cardiovascular mortality suggesting that surveillance and treatment of psychiatric comorbidities should be considered as an integral part of clinical management of newly diagnosed CVD patients.

Funding

This work was supported by the EU Horizon 2020 Research and Innovation Action Grant (CoMorMent, grant no. 847776 to UV, PFS, and FF), Grant of Excellence, Icelandic Research Fund (grant no. 163362-051 to UV), ERC Consolidator Grant (StressGene, grant no. 726413 to UV), Swedish Research Council (grant no. D0886501 to PFS), and US NIMH R01 MH123724 (to PFS).

The development and pilot testing of a behavioral activation-based treatment for depressed mood and multiple health behavior change in patients with recent acute coronary syndrome

BACKGROUND

Patients with acute coronary syndrome (ACS) with depressed mood demonstrate poor cardiovascular behavioral risk profiles and elevated risk for recurrent ACS and mortality. Behavioral Activation (BA) offers an intervention framework for an integrated treatment targeting both depression and critical health behaviors post-ACS. Behavioral Activation for Health and Depression (BA-HD) was developed and pilot tested in a multiphase iterative process.

METHODS

First, an initial treatment manual was conceptualized based on the team's prior work, as well as the extant literature. Second, qualitative interviews were conducted with target patients and target providers on the proposed BA-HD treatment rationale, content, and structure. Framework matrix analyses were used to summarize and aggregate responses. Third, an expert panel was convened to elicit additional manual refinements. Finally, patients with post-ACS depression and health behavior non-adherence were recruited to complete an open pilot trial to evaluate acceptability (Client Satisfaction Questionnaire [CSQ], exit interview) and treatment engagement (number of sessions attended; treatment completion was considered completion of 8 out of 10 possible sessions).

RESULTS

The initial BA-HD treatment manual expanded an existing treatment manual for post-ACS BA-based mood management and smoking cessation to target four health behaviors relevant to post-ACS patients (e.g., smoking cessation, medication adherence, physical activity, and diet). After the initial conceptualization, ten post-ACS patients and eight cardiac rehabilitation professionals completed qualitative interviews. Patients endorsed bi-directional interactions between mood and health behaviors post-ACS. Both patients and providers expressed general support of the proposed treatment rationale and values-guided, collaborative goal-setting approach. Patients, providers, and experts provided feedback that shaped the iterative manual development. After the BA-HD manual was finalized, eight participants were enrolled in a single-arm pilot trial. The mean CSQ score was 30.57 ± 2.23, indicating high satisfaction. Seven out of eight (88%) completed treatment. Pre- to post treatment improvements in depressed mood and health behaviors were promising.

CONCLUSIONS

BA-HD treatment is an acceptable approach to target both mood and health behaviors in post-ACS patients with depression. A future larger, controlled trial is needed to evaluate the efficacy of the BA-HD treatment.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04158219.

Physical frailty and the risk of major depressive disorder: The Irish Longitudinal Study on Ageing

Although frailty is a well-established risk factor for adverse health outcomes in later life, little is known about the role of physical frailty on the development of incident major depressive disorder (MDD). The purpose of this study was to determine whether frailty is an important and independent predictor of incident major depressive disorder (MDD) in elderly people without probable depression at baseline. Of the 3671 older individuals from the population-based Irish Longitudinal Study on Ageing, we classified participants as non-frail (0), pre-frail (1-2), and frail (3-5) at baseline according to the five criteria of the physical frailty phenotype. The World Health Organization Composite International Diagnostic Interview Short-Form was used to assess whether respondents fulfilled the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria for MDD over a 4-year follow-up. After adjusting for demographic factors, living arrangements, health behaviors, common chronic diseases including hypertension, diabetes, cancer, lung disease, heart problems, and stroke, those classified as pre-frail (HR = 1.40, 95%CI = 1.14-1.73) and frail (HR = 2.20, 95%CI = 1.23-3.92) presented a higher risk to develop incident MDD over the 4-year follow-up compared to non-frail participants. Shrinking and exhaustion, as physical frailty components, were individually predictive of onset of MDD. The present study supports a significant role of physical frailty as a predictor of incident MDD in older adults. It is necessary to identify groups with a high vulnerability for MDD according to easily identifiable frailty criteria, and to delay or prevent at least in part, some of the negative health outcomes related to this disorder.

Risk Factors for Post-Acute Coronary Syndrome Depression: A Meta-analysis of Observational Studies

BACKGROUND

The incidence of depression is very common among patients with post-acute coronary syndrome (ACS) and leads to adverse outcomes.

AIMS

The aim of this meta-analysis was to detect risk factors for depression among patients with ACS and to provide clinical evidence for its prevention.

METHODS

The authors followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline to search the PubMed, Web of Science, EMBASE, and EBSCO databases from January 1996 to March 2018. Data that met the inclusion criteria were extracted to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk factors of post-ACS depression.

RESULTS

A total of 30 articles met the inclusion criteria, and 25 risk factors were found to be associated with depression. The top 5 risk factors are as follows: antidepression treatment (OR, 4.25; 95% CI, 3.41-5.31), housewife status (OR, 4.17; 95% CI, 1.83-9.53), history of depressive disorders (OR, 3.52; 95% CI, 2.69-4.61), widow status (OR, 2.34; 95% CI, 1.05-5.21), and history of congestive heart failure (OR, 2.03; 95% CI, 1.04-3.97). The authors also found that a married status, high education level, and employment are protective factors.

CONCLUSION

Clinical personnel should be alerted with regard to the high risk factors of depression, including female gender, low education level, unmarried status, living alone, unemployed status, unhealthy lifestyle, and complications such as cardiovascular, respiratory, and metabolic diseases. In particular, staff should pay attention to a history of previous depression, be concerned with the psychological condition of the patient, and monitor and perform early interventions to reduce the incidence of depression.

Depression, Anxiety, Perceived Stress, and Their Changes Predict Greater Decline in Physical Health Functioning over 12 Months Among Patients with Coronary Heart Disease

BACKGROUND

Although the deleterious impact of psychological distress on patients with coronary heart disease (CHD) is recognized, few studies have examined the influence of change in psychological distress on health outcomes over time. This study investigated whether three common manifestations of distress (depression, anxiety, and perceived stress) and their changes predicted the decline in physical functioning in CHD patients over 12 months. In addition, perceived social support was examined as a buffer of psychological distress or a direct predictor of physical functioning.

METHODS

Participants were 255 CHD patients with a mean age of 63 (SD = 8.65) years, including 208 men and 47 women. Psychological distress and physical functioning were assessed at baseline, 6 months and 12 months. Hierarchical regression analyses were conducted to examine the influences of psychological factors on physical functioning over 12 months. All models were adjusted for baseline physical functioning, age, gender, marital status, education, BMI, and length of participation at a wellness center.

RESULTS

For each psychological distress variable (depression, anxiety, or perceived stress), both the baseline (βs = - 0.19 to - 0.32, ps = 0.008 to < 0.001) and its respective change over time (βs = - 0.17 to - 0.38, ps = 0.020 to < 0.001) independently and significantly predicted greater decline in physical functioning at 6 and 12 months, after adjusting for covariates. Perceived social support predicted greater improvement in physical functioning at 12 months (β = 0.13, p = 0.050), but it did not buffer impact of psychological distress.

CONCLUSIONS

Findings underscore the importance of monitoring various forms of psychological distress continuously over time for CHD patients.

Prevalence and associated factors influencing depression in older adults living in rural Thailand: A cross-sectional study

AIM

Depression is a major disease burden in Thailand. In rural areas, young adults will leave home to work in cities, and older adults are left behind. Loneliness and comorbidities can lead to depression in older adults. The present study aimed to evaluate the prevalence and associated factors for geriatric depression.

METHODS

A cross-sectional study was carried out. Questionnaires including the Thai Geriatric Depression Scale and family relationship were obtained by healthcare professions by face-to-face interviews of 584 older people aged ≥60 years in Ban Nayao community, Chachoengsao Province, Thailand. Geriatric depression can be defined as depressive syndromes that arise in adults aged ≥60 years. We excluded those who had visual or auditory disabilities or did not pass the Thai Mini-Mental Status Examination. The prevalence and associated factors for geriatric depression were obtained. Associated factors were analyzed by multivariate logistic regression.

RESULTS

A total of 433 older people were eligible. The prevalence of geriatric depression was 18.5%. Of the participants, 54.1% lived in an imbalanced family type. Multivariate analysis showed the significance for female sex (adjusted OR 2.78, 95% CI 1.54-7.49, P = 0.01), illiteracy (adjusted OR 2.86, 95% CI 1.19-6.17, P-value 0.04), current smoker (adjusted OR 4.25, 95% CI 2.12-10.18, P = 0.009) and imbalanced family type (low attachment, low cooperation and poor alignment between each member; adjusted OR 4.52, 95% CI 2.14-7.86, P < 0.001) as risk factors for depression.

CONCLUSIONS

The prevalence of geriatric depression in rural Thailand is high. Imbalanced family type is an important risk factor for geriatric depression in the rural community. Geriatr Gerontol Int 2019; 19: 1248-1253.

Prevalence and associations of depression among patients with cardiac diseases in a public health institute in Trinidad and Tobago

BACKGROUND

Psychosocial issues are major determinants as well as consequences of cardiovascular disease (CVD). This study sought to assess the prevalence and identify factors associated with depression among patients with cardiac disease in a public health institute in Trinidad and Tobago.

METHODS

A cross-sectional study was conducted with a convenience sample of 388 hospitalised, stable, adult patients with cardiac disease admitted in the only tertiary public health institute in South Trinidad. Patients were identified and interviewed 3 to 5 days after admission using a questionnaire comprising questions on demographic, medical, and lifestyle issues and the 9-item Patient Health Questionnaire (PHQ-9).

RESULTS

The prevalence of clinically significant depression (PHQ-9 > 9) among hospitalised patients with cardiac disease was 40.0%. However, the prevalence of non-minimal depression (PHQ-9 ≥ 5) in this study was 78.4%. It was greater among women (83.1%) than among men (72.9%). Non-minimal depression was associated with sex (p = 0.015), employment status (p = 0.007), hypertension (p = 0.017), stressful life (p ≤ 0.001), feelings of depression (p ≤ 0.001), regular exercise (p ≤ 0.001), and living alone (p = 0.006). Age, ethnicity, education level, income, or religious affiliations were not associated (p > 0.05) with depression. Participants diagnosed with depression commonly reported feeling tired (81.2%), having trouble sleeping (74.7%), and moving/speaking slowly (73.5%). Patients with self-claimed depression (past or current) were four times more likely to have depression and those with self-reported stress and loneliness were twice as likely to have depression. Employed patients and those who exercised regularly were approximately 50% less likely to have depression.

CONCLUSIONS

Clinical depression prevalence among hospitalised patients with cardiac disease was 40.0%. Approximately twice as many (78.4%) had non-minimal depression, with higher prevalence among women. Employment, sex, hypertension, stressful life, feelings of depression, regular exercise, and living alone were associated with non-minimal depression. Patients with self-claimed depression, stress, and those living alone had a much higher likelihood of having depression, while those who were employed and exercised regularly were approximately half as likely to have depression.

Using text messages to promote health in African-Americans: #HeartHealthyandCancerFree

OBJECTIVES

African-Americans are vulnerable to both cancer and cardiovascular disease (CVD) due to intricately connected risk factors. Use of text messages is an innovative method to provide health information to reduce these risks. The aim of this study was to test the feasibility and acceptability of a text messaging intervention to reduce CVD and cancer risk factors in African-Americans.

DESIGN

We developed an intervention using text messages culturally tailored for African-Americans over age 50 who were at risk (one or more modifiable risk factors) for CVD and/or cancer. Sociodemographic data, biologic measures, cancer screening practices, and general health status were assessed. Group interviews were conducted to assess feasibility and acceptability.

RESULTS

Participants were primarily female (69%), aged 58 ± 5 years, who were married (59%) and worked full time (56%). In terms of feasibility and acceptability, themes of encouragement through text messages received and a desire for a longer study period emerged from group interviews with participants. Participants experienced significant decreases in waist circumference (41 ± 5 vs 40 ± 5, p = .002), systolic blood pressure (147 ± 25 mmHg vs 138 ± 20 mmHg, p = .009), diastolic blood pressure (87 ± 16 mmHg vs 82 ± 10 mmHg, p = .02), total cholesterol (194 ± 35 mg/dL vs 173 ± 32 mg/dL, p < .001), and low-density lipoprotein levels (100 ± 32 mg/dL vs 86 ± 29 mg/dL, p = .015). Five participants had colorectal cancer screening, two had prostate cancer screening, and four had mammograms.

CONCLUSIONS

Use of text messages was widely accepted among participants. Significant CVD risk reductions and increased cancer screenings were noted. Future studies should incorporate innovative strategies such as text messaging in promoting health in vulnerable populations.

Identifying psychosocial predictors of medication non-adherence following acute coronary syndrome: A systematic review and meta-analysis

OBJECTIVE

Medication non-adherence following acute coronary syndrome (ACS) is associated with poor clinical outcomes. A systematic review and meta-analysis were undertaken to identify psychosocial factors associated with medication adherence in patients with ACS.

METHODS

A search of electronic databases (Cochrane Library, Medline, EMBASE, PsycINFO, Web of Science, International Pharmaceutical Abstracts, CINAHL, ASSIA, OpenGrey, EthOS and WorldCat) was undertaken to identify relevant articles published in English between 2000 and 2014. Articles were screened against our inclusion criteria and data on study design, sample characteristics, predictors, outcomes, analyses, key findings and study limitations were abstracted.

RESULTS

Our search identified 3609 records, of which 17 articles met our inclusion criteria (15 independent studies). Eight out of ten studies found an association between depression and non-adherence. A meta-analysis revealed that depressed patients were twice as likely to be non-adherent compared to patients without depression (OR=2.00, 95% CI 1.57-3.33, p=0.015). Type D personality was found to predict non-adherence in both studies in which it was measured. Three out of three studies reported that treatment beliefs based on the Necessity-Concerns Framework predicted medication non-adherence and there was some evidence that social support was associated with better adherence. There was insufficient data to meta-analyse all other psychosocial factors identified.

CONCLUSION

There was some evidence that psychosocial factors, particularly depression, were associated with medication adherence following ACS. Targeting depressive symptoms, screening for Type D personality, challenging maladaptive treatment beliefs, and providing better social support for patients may be useful strategies to improve medication adherence.

Applications of magnetic resonance imaging for treatment-resistant late-life depression

Late-life depression (LLD) is a growing public and global health concern with diverse clinical manifestations and etiology. This literature review summarizes neuroimaging findings associated with depression in older adults and treatment-response variability. LLD has been associated with cerebral atrophy, diminished myelin integrity, and cerebral lesions in frontostriatal-limbic regions. These associations help explain the depression-executive dysfunction syndrome observed in LLD, and support cerebrovascular burden as a pathogenic mechanism. Furthermore, this review suggests that neuroimaging determinants of treatment resistance also reflect cerebrovascular burden. Of the theoretical etiologies of LLD, cerebrovascular burden may mediate treatment resistance. This review proposes that neuroimaging has the potential for clinical translation. Controlled trials may identify neuroimaging biomarkers that may inform treatment by identifying depressed adults likely to remit with pharmacotherapy, identifying individualized therapeutic dose, and facilitating earlier treatment response measures. Neuroimaging also has the potential to similarly inform treatment response variability from treatment with aripiprazole (dopamine modulator) and buprenorphine (opiate modulator).

Systematic review of the barriers affecting medication adherence in older adults

Medication adherence is a crucial part in the management of chronic diseases. As older adults form a greater proportion of the population with chronic diseases and multiple morbidities, understanding medication adherence in older adults becomes important. In the present article, we aimed to systematically review the literature for the factors associated with medication adherence in the geriatric population. We carried out a literature search using electronic databases and related keywords. 17 391 articles were reviewed in total. 65 articles were found to be relevant to our objective. A total of 80 factors of five different categories were found to be associated with medication adherence in older adults. The factors, the types of studies and the number of studies that agreed or disagreed were presented. A flower model for medication adherence was also presented to allow clinicians to better understand the complex nature of medication adherence in this population. The 80 factors reviewed were categorized into five main categories; namely, patient factors, medication factors, physician factors, system-based factors and other factors as factors affecting poor medication adherence in older adults. Clinicians need to be mindful of the complex nature of factors affecting medication adherence in this population to optimize therapeutic outcomes. Clinicians have to be more skillful to discover and to optimize the medication adherence factors in geriatric patients. The flower model is presented as a framework for clinicians to better understand the various factors affecting medication adherence in older adults. Geriatr Gerontol Int 2016; 16: 1093-1101.

The bidirectional relationship between myocardial infarction and depressive disorders: a follow-up study

BACKGROUND

Data from multiple studies have shown the relationship between myocardial infarction (MI) and depressive disorders; however, most of these studies have focused only on one direction in evaluating the effect of depressive disorders on MI outcomes. This study analyzed data compiled from a large-scale dataset, the National Health Insurance Research Database, to determine whether a bidirectional relationship exists between MI and depressive disorders.

METHODS

A total of 3482 patients diagnosed with MI between 2002 and 2004 were included in analyzing the effects of MI on depressive disorders. A total of 26,418 patients diagnosed with depressive disorders between 2002 and 2004 were included in studying the effect of depressive disorders on MI. The comparison groups of both analyses were 4-fold larger than the case group. The Cox proportional hazard regression model was used to analyze the results.

RESULTS

The risk of MI patients developing depressive disorders was significantly higher (P<.001) than that of the comparison group, even after the data were adjusted for the variables of age, gender, income, region, and the Charlson Comorbidity Index. Conversely, the risk of patients with depressive disorders developing MI was not significantly higher than that of the comparison group after we controlled for covariates.

CONCLUSION

The patients with MI exhibited a significantly higher risk of developing depressive disorders compared with the patients without MI. The results suggest that health providers should carefully manage the treatment offered for mental conditions and sensitively detect the psychological reactions of patients with MI.

Depression as a risk factor for poor prognosis among patients with acute coronary syndrome: systematic review and recommendations: a scientific statement from the American Heart Association

BACKGROUND

Although prospective studies, systematic reviews, and meta-analyses have documented an association between depression and increased morbidity and mortality in a variety of cardiac populations, depression has not yet achieved formal recognition as a risk factor for poor prognosis in patients with acute coronary syndrome by the American Heart Association and other health organizations. The purpose of this scientific statement is to review available evidence and recommend whether depression should be elevated to the status of a risk factor for patients with acute coronary syndrome.

METHODS AND RESULTS

Writing group members were approved by the American Heart Association's Scientific Statement and Manuscript Oversight Committees. A systematic literature review on depression and adverse medical outcomes after acute coronary syndrome was conducted that included all-cause mortality, cardiac mortality, and composite outcomes for mortality and nonfatal events. The review assessed the strength, consistency, independence, and generalizability of the published studies. A total of 53 individual studies (32 reported on associations with all-cause mortality, 12 on cardiac mortality, and 22 on composite outcomes) and 4 meta-analyses met inclusion criteria. There was heterogeneity across studies in terms of the demographic composition of study samples, definition and measurement of depression, length of follow-up, and covariates included in the multivariable models. Despite limitations in some individual studies, our review identified generally consistent associations between depression and adverse outcomes.

CONCLUSIONS

Despite the heterogeneity of published studies included in this review, the preponderance of evidence supports the recommendation that the American Heart Association should elevate depression to the status of a risk factor for adverse medical outcomes in patients with acute coronary syndrome.

Systematic review and meta-analysis of the impact of depression on subsequent smoking cessation in patients with coronary heart disease: 1990 to 2013

OBJECTIVE

Smoking cessation is crucial for patients with coronary heart disease (CHD), yet depression may impede cessation success. We systematically reviewed the prospective association between depression and subsequent smoking cessation in individuals with CHD to quantify this effect.

METHODS

Electronic databases (PsychInfo, PubMed, CINAHL) were searched for prospective studies of patients with CHD that measured depression at baseline (scales, diagnostic interview, or antidepressant prescription) and reported smoking continuation/cessation at follow-up. Inclusive dates were January 1, 1990, to May 22, 2013. Standardized mean differences (SMDs) and associated 95% confidence intervals were estimated using random-effects meta-analysis. Sensitivity analysis explored the impact of limiting meta-analysis to studies using different depression measures (validated scales, diagnostic interviews, antidepressant prescription), different durations of follow-up, or higher-quality studies.

RESULTS

From 1185 citations retrieved, 28 relevant articles were identified. Meta-analysis of all available data from 20 unique data sets found that depressed patients with CHD were significantly less likely to quit smoking at follow-up (SMD = -0.39, 95% confidence interval = -0.50 to -0.29; I(2) = 51.2%, p = .005). Estimates remained largely unchanged for each sensitivity analysis, except for two studies that used antidepressants, which showed a much larger effect (SMD = -0.94, -1.38 to -0.51; I(2) = 57.7%, p = .124).

CONCLUSIONS

Patients with CHD and depressive symptoms are significantly less likely to quit smoking than their nondepressed counterparts. This may have implications for cardiovascular prognosis, and CHD smokers may require aggressive depression treatment to enhance their chances of quitting.

Psychological distress and quality of life in older persons: relative contributions of fixed and modifiable risk factors

BACKGROUND

With a rapidly ageing population and increasing life expectancy, programs directed at improving the mental health and quality of life (QOL) of older persons are extremely important. This issue may be particularly relevant in the aged-care residential sector, where very high rates of depression and poor QOL are evident. This study aims to investigate the fixed and modifiable risk factors of psychological distress and QOL in a cohort of Australians aged 60 and over living in residential and community settings.

METHODS

The study examined the relationship between demographic, health and lifestyle factors and the outcome variables of self-reported QOL and psychological distress (K10 scores) based on data from 626 Australians aged 60 and over from the 45 and Up Study dataset. Univariate and multivariate regression analyses (performed on a subset of 496) examined risk factors related to psychological distress and QOL adjusting for age and residential status.

RESULTS

Significant psychological distress was experienced by 15% of the residential sample and 7% of the community sample and in multivariate analyses was predicted by older age, more functional limitations, more time spent sleeping and lower levels of social support (accounting for 18% of the variance). Poorer QOL was predicted by more functional limitations and greater levels of psychological distress. Together these variables accounted for 35% of the variance in QOL ratings.

CONCLUSIONS

While psychological distress was more common in residential settings, programs targeting modifiable risk factors have the potential to improve QOL and reduce psychological distress in older persons living in both residential and community settings. In particular, promoting health and mobility, optimising sleep-wake cycles and increasing social support may reduce levels of psychological distress and improve QOL.

Going beyond antidepressant monotherapy for incomplete response in nonpsychotic late-life depression: a critical review

Many older adults with major depressive disorder (MDD) do not respond to antidepressant monotherapy. Although there are evidence-based treatment options to support treatment beyond monotherapy for adults, the evidence for such strategies, specifically in late-life MDD, is relatively scarce. This review examines the published data describing strategies for antidepressant augmentation or acceleration studied specifically in older adults, including lithium, stimulants, and second-generation antipsychotics. In addition, the authors suggest strategies for future research, such as study of specific agents, refining understanding of the impact of medical or cognitive comorbidity in late-life depression, and comparative effectiveness to examine methods already used in clinical practice.

Design and baseline data from the Management of Sadness and Anxiety in Cardiology (MOSAIC) randomized controlled trial

BACKGROUND

Depression and anxiety in cardiac patients are independently associated with adverse cardiovascular outcomes, including mortality. Collaborative care (CC) programs, which use care managers to assess patients, coordinate care, and perform therapeutic interventions, have proven effective in managing depression in this population. However, no prior CC intervention has simultaneously managed depression and anxiety disorders, and there has been minimal study of CC in high-risk cardiac inpatients.

MATERIALS AND METHODS

The Management of Sadness and Anxiety in Cardiology (MOSAIC) study was a prospective randomized trial of a low-intensity CC intervention, compared to enhanced usual care, for patients hospitalized for acute coronary syndrome, heart failure, or arrhythmia, and diagnosed with depression, generalized anxiety disorder (GAD), or panic disorder (PD). The primary outcome measure for MOSAIC was mental health-related quality of life (HRQoL), measured using the Medical Outcomes Study Short Form-12. Additional outcomes included psychological, functional, and medical outcomes, including rehospitalizations.

RESULTS

A total of 183 eligible participants were enrolled (92 collaborative care, 91 enhanced usual care); 94% of depressed patients reported being depressed for >1month, and 53% of those with GAD reported clinically significant anxiety for >1year. One hundred thirty-three patients had depression, 118 had GAD, and 19 had PD; 74 participants (40%) had two or more of the disorders.

CONCLUSION

The MOSAIC trial will provide data regarding whether an intervention that concurrently manages these common psychiatric disorders results in meaningful improvements in HRQoL, psychiatric symptoms, and medical outcomes in cardiac patients at high risk for adverse outcomes.

Measuring comorbidity in cardiovascular research: a systematic review

Background. Everything known about the roles, relationships, and repercussions of comorbidity in cardiovascular disease is shaped by how comorbidity is currently measured. Objectives. To critically examine how comorbidity is measured in randomized controlled trials or clinical trials and prospective observational studies in acute myocardial infarction (AMI), heart failure (HF), or stroke. Design. Systematic review of studies of hospitalized adults from MEDLINE CINAHL, PsychINFO, and ISI Web of Science Social Science databases. At least two reviewers screened and extracted all data. Results. From 1432 reviewed abstracts, 26 studies were included (AMI n = 8, HF n = 11, stroke n = 7). Five studies used an instrument to measure comorbidity while the remaining used the presence or absence of an unsubstantiated list of individual diseases. Comorbidity data were obtained from 1-4 different sources with 35% of studies not reporting the source. A year-by-year analysis showed no changes in measurement. Conclusions. The measurement of comorbidity remains limited to a list of conditions without stated rationale or standards increasing the likelihood that the true impact is underestimated.

Alterations of serum levels of BDNF-related miRNAs in patients with depression

Depression is a serious and potentially life-threatening mental disorder with unknown etiology. Emerging evidence shows that brain-derived neurotrophic factor (BDNF) and microRNAs (miRNAs) play critical roles in the etiology of depression. Here this study was aimed to identify and characterize the roles of BDNF and its putative regulatory miRNAs in depression. First, we identified that miR-182 may be a putative miRNA that regulates BDNF levels by bioinformatic studies, and characterized the effects of miR-182 on the BDNF levels using cell-based studies, side by side with miR-132 (a known miRNA that regulates BDNF expression). We showed that treatment of miR-132 and miR-182 respectively decreased the BDNF protein levels in a human neuronal cell model, supporting the regulatory roles of miR-132 and miR-182 on the BDNF expression. Furthermore, we explored the roles of miR-132 and miR-182 on the BDNF levels in depression using human subjects by assessing their serum levels. Compared with the healthy controls, patients with depression showed lower serum BDNF levels (via the enzyme-linked immunosorbent assays) and higher serum miR-132 and miR-182 levels (via the real-time PCR). Finally, the Pearson’s (or Spearman’s) correlation coefficient was calculated to study whether there was a relationship among the Self-Rating Depression Scale score, the serum BDNF levels, and serum BDNF-related miRNA levels. Our results revealed that there was a significant negative correlation between the SDS scores and the serum BDNF levels, and a positive correlation between the SDS scores and miR-132 levels. In addition, we found a reverse relationship between the serum BDNF levels and the miR-132/miR-182 levels in depression. Collectively, we provided evidence supporting that miR-182 is a putative BDNF-regulatory miRNA, and suggested that the serum BDNF and its related miRNAs may be utilized as important biomarkers in the diagnosis or as therapeutic targets of depression.

A preliminary study of aged care facility staff indicates limitations in awareness of the link between depression and physical morbidity

Background

It is important to understand the complex inter-relationship between depression and physical illness in order to plan and provide quality health care services for older persons and reduce suffering and early mortality. This study assessed the awareness and knowledge of age-care staff of the link between physical morbidity and depression.

Methods

One hundred and nineteen staff from both residential (high and low care) and community aged care facilities were surveyed on their awareness and knowledge of the relationship between physical morbidity and symptoms of depression. Predictors of levels of knowledge were assessed using multiple regression analysis.

Results

Awareness of the link between physical morbidity and symptoms of depression was generally high. However, while nearly eighty percent of respondents said they had had training in mental health, they were only able to answer an average of six out of ten of the knowledge questions correctly. Predictors of knowledge were: higher age, higher educational status and working in a high care facility.

Conclusions

Responses to the survey questions demonstrated gaps in knowledge about the relationship between depression and physical health. The need for regular ongoing training to improve knowledge and awareness of this relationship is indicated. Treatment of physical health issues which is essential in reducing the risk for depression in older persons in aged care environments could be optimized by improved staff training.

Patient complexity and risk factor control among multimorbid patients with type 2 diabetes: results from the R2D2C2 study

BACKGROUND

Among patients with type 2 diabetes, it is not known whether risk factor control is better or worse for those who also have heart disease, depression, multiple other comorbidities, and associated management challenges.

OBJECTIVE

To examine the relationship between this complex constellation of multimorbidities, adherence to treatment and risk factor control among patients with type 2 diabetes, independent of regimen intensity.

RESEARCH DESIGN

Observational cross-sectional study.

SUBJECTS

A total of 1314 patients with diabetes from the Reducing Racial Disparities in Diabetes Coached Care (R2D2C2) Study.

MEASURES

A composite cardiometabolic risk factor profile was the dependent variable. Independent variables included a composite measure of patient complexity, patient-reported adherence to treatment, history of coronary heart disease (CHD), and intensity of medication regimen.

RESULTS

A higher proportion of the most complex patient-reported problems with adherence compared with the least complex patients (83.5% vs. 43.3%, P<0.001). Compared with those without a history of CHD, fewer patients with CHD-reported problems with medication adherence (59.3% vs. 69.3%, P<0.01) and had better risk factor control, independent of complexity and regimen intensity. Better risk factor control was independently associated with less patient complexity (P=0.003) and to history of CHD (P=0.01).

CONCLUSIONS

The presence of a complex illness profile was associated with poorer control of risk factors. Those with CHD were more adherent to treatment and had better risk factor control. The occurrence of CHD may present an opportunity for physicians to emphasize risk factor management. Diabetes patients with a complex illness profile may be at highest risk for cardiovascular events and in greatest need of prevention of cardiac disease.

TRIAL REGISTRATION

Clinicaltrial.gov identifier: NCT01123239.

Psychometric properties of the cardiac depression scale in patients with coronary heart disease

BACKGROUND

This study examined the psychometric properties of the Cardiac Depression Scale (CDS) in a sample of coronary heart disease (CHD) patients.

METHODS

A total of 152 patients were diagnosed with coronary heart disease and were administered the CDS along with the Beck Depression Inventory- 2 (BDI-2) and the State Trait Anxiety Inventory (STAI) 3.5-months after cardiac hospitalization.

RESULTS

The CDS's factorial composition in the current sample was similar to that observed in the original scale. Varimax-rotated principal-components analyses extracted six factors, corresponding to mood, anhedonia, cognition, fear, sleep and suicide. Reliability analyses yielded internal consistency α - coefficients for the six subscales ranging from 0.62 to 0.82. The CDS showed strong concurrent validity with the BDI-II (r = 0.64). More patients were classified as severely depressed using the CDS. Both the CDS and the BDI-2 displayed significantly strong correlations with the STAI (r = 0.61 and r = 0.64), respectively.

CONCLUSIONS

These findings encourage the use of the CDS for measuring the range of depressive symptoms in those with CHD 3.5 months after cardiac hospitalization.

Survival of bipolar depression, other type of depression and comorbid ailments: ten-year longitudinal follow-up of 10,922 Taiwanese patients with depressive disorders (KCIS no. PSY1)

OBJECTIVE

The effect of type of depressive disorder on mortality has been rarely addressed in the relevant literature. It is especially true in considering comorbid disorders and by population-based longitudinal cohort sample. The aims of this study are to compare all-cause and unnatural (suicides and accidents) mortality rates between subjects with bipolar depression (BD) and those with other types of depression (OTD).

METHOD

A cohort of patients diagnosed as clinically depressed between 1999 and 2004 according to the National Health Insurance Dataset (NHID) were followed until the end of 2008. The occurrence of death was identified by the National Mortality Registry (NMR) in Taiwan. Patients in this cohort were further classified into BD and OTD groups. Proportional hazards regression model were used to evaluate the different mortality risks between two groups.

RESULTS

BD (n = 1542) was associated with a significantly greater risk in all-cause mortality (adjusted hazard ratio = 1.3, 95% CI: 1.1, 1.5) than was OTD (n = 17,480), even after controlling for demographic features and comorbid disorders. BD was associated with approximately twice the risk for suicide and accidental death compared with OTD after other variables were held constant. Bipolar depression (v.s. OTD) exerted adjusted hazard ratio 3.76 (95% CI: 2.17, 6.51) in depressed patients with CVD but only aHR 1.43 (95% CI: 0.79, 2.58) in those without CVD.

CONCLUSIONS

Compared with OTD, BD was related to a significantly increased risk for all-cause mortality, suicide, and accidental death. Under the comorbidity with CVD, the risk of suicide was 4-fold times more likely in BD than in OTD. This magnitude of suicide risk among BD patients comorbid with CVD was also higher than those BD without CVD. Thus, patients with both BD and CVD may constitute one of groups at highest risk for suicide and accidental death.

Depressive symptoms after a myocardial infarction and self-care

This descriptive study examined depressive symptoms impacting the performance of self-care behaviors in patients (N = 62) who have experienced a myocardial infarction (MI). Having had a prior MI is inversely associated with decreased self-care behaviors at 30 days. Depressive symptoms of agitation and loss of energy significantly impacted self-care performance 30 days after discharge from the hospital. A variance of 21% (P < .05) in patients who experienced a prior MI and exhibited depressive symptoms of agitation and loss of energy at 30 days suggests patient vulnerability after discharge and a window for therapeutic interventions.

Depression and health-related quality of life in people with coronary heart disease: a systematic review

BACKGROUND

Depression affects 20% of people with coronary heart disease (CHD) and predicts worse health-related quality of life (HRQoL), but in primary studies the strength of this reported relationship has been inconsistent.

AIMS AND METHODS

We conducted a systematic review to investigate the extent to which depression independently predicts subsequent physical HRQoL. We searched electronic databases (MEDLINE, PsycINFO, CINAHL and EMBASE) to identify prospective cohort studies that included CHD patients, focused on depression and subsequent physical HRQoL using standardised measures. Included studies were assessed for methodological quality.

RESULTS

We identified 11 independent studies, of which nine showed a significant association between depression and subsequent physical HRQoL. There was no systematic methodological difference between those studies that did and did not show a significant association; in particular the results did not appear to be affected by the way depression or physical HRQoL was measured. Five of the 11 studies were of moderate to high methodological quality and controlled for both HRQoL and the severity of CHD at baseline. Four studies showed a significant association between depression and HRQoL.

CONCLUSIONS

Depression predicts subsequent physical HRQoL and this association was not attributable to confounding effects of baseline HRQoL or the severity of the CHD. Identification of depressed CHD patients may improve targeting of resources at people at increased risk of worse physical HRQoL. Treating depression may improve subsequent physical HRQoL, though this needs to be established in future randomised controlled trials.

Racial and ethnic disparities in depression care in community-dwelling elderly in the United States

OBJECTIVES

We investigated racial/ethnic disparities in the diagnosis and treatment of depression among community-dwelling elderly.

METHODS

We performed a secondary analysis of Medicare Current Beneficiary Survey data (n = 33,708) for 2001 through 2005. We estimated logistic regression models to assess the association of race/ethnicity with the probability of being diagnosed and treated for depression with either antidepressant medication or psychotherapy.

RESULTS

Depression diagnosis rates were 6.4% for non-Hispanic Whites, 4.2% for African Americans, 7.2% for Hispanics, and 3.8% for others. After we adjusted for a range of covariates including a 2-item depression screener, we found that African Americans were significantly less likely to receive a depression diagnosis from a health care provider (adjusted odds ratio [AOR] = 0.53; 95% confidence interval [CI] = 0.41, 0.69) than were non-Hispanic Whites; those diagnosed were less likely to be treated for depression (AOR = 0.45; 95% CI = 0.30, 0.66).

CONCLUSIONS

Among elderly Medicare beneficiaries, significant racial/ethnic differences exist in the diagnosis and treatment of depression. Vigorous clinical and public health initiatives are needed to address this persisting disparity in care.

Evidence-based risk factors for adverse health outcomes in older patients after discharge home and assessment tools: a systematic review

The current health care system is discharging elderly patients "quicker" and "sicker" from acute care facilities. Consequently, hospital readmission is common; however, readmission may be only one aspect of adverse outcomes of importance to social work discharge planners. The early recognition of risk factors might ensure a successful transition from the hospital to the home. A systematic review was conducted to identify factors associated with adverse outcomes in older patients discharged from hospital to home. Using a content analysis, factors were characterized in five domains: demographic factors, patient characteristics, medical and biological factors, social factors, and discharge factors. The most frequently reported risks were depression, poor cognition, comorbidities, length of hospital stay, prior hospital admission, functional status, patient age, multiple medications, and lack of social support. A systematic search identified four discharge assessment tools for use with the general population of elderly patients. Practice and research implications are offered.

Risk factors for depression in older adults in Beijing

OBJECTIVE

Depression is a common mental disorder in older adults. We examined the prevalence and risk factors for depression in older adults in the Beijing area.

METHOD

We used data from a cross-sectional survey conducted in July 2006 in Beijing. As part of the national survey for older Chinese adults, 2002 older adults were interviewed. The 15-item Geriatric Depression Scale was used to assess depression. Demographics as well as other personal information were also collected.

RESULTS

Among Beijing older adults, 13.01% were categorized as depressed. Prevalence rates of depression in rural and urban older adults were 26.63% and 10.79%, respectively. Poor economic status, high activities of daily living (ADL) score, poor physical health, impious offspring, and feeling old were important predictors of depression in older adults in Beijing. For the urban sample, poor economic status, poor physical health, high ADL score, and impious offspring were risk factors for depression. For the rural sample, depression was significantly associated with poor economic status and poor physical health.

CONCLUSIONS

Depression is a common mood disorder among older adults in the Beijing area. Filial piety is a unique predictor for depression in older Chinese adults, compared with findings in Western cultures.

A tune in "a minor" can "b major": a review of epidemiology, illness course, and public health implications of subthreshold depression in older adults

BACKGROUND

With emphasis on dimensional aspects of psychopathology in development of the upcoming DSM-V, we systematically review data on epidemiology, illness course, risk factors for, and consequences of late-life depressive syndromes not meeting DSM-IV-TR criteria for major depression or dysthymia. We termed these syndromes subthreshold depression, including minor depression and subsyndromal depression.

METHODS

We searched PubMed (1980-Jan 2010) using the terms: subsyndromal depression, subthreshold depression, and minor depression in combination with elderly, geriatric, older adult, and late-life. Data were extracted from 181 studies of late-life subthreshold depression.

RESULTS

In older adults subthreshold depression was generally at least 2-3 times more prevalent (median community point prevalence 9.8%) than major depression. Prevalence of subthreshold depression was lower in community settings versus primary care and highest in long-term care settings. Approximately 8-10% of older persons with subthreshold depression developed major depression per year. The course of late-life subthreshold depression was more favorable than that of late-life major depression, but far from benign, with a median remission rate to non-depressed status of only 27% after ≥1 year. Prominent risk factors included female gender, medical burden, disability, and low social support; consequences included increased disability, greater healthcare utilization, and increased suicidal ideation.

LIMITATIONS

Heterogeneity of the data, especially related to definitions of subthreshold depression limit our ability to conduct meta-analysis.

CONCLUSIONS

The high prevalence and associated adverse health outcomes of late-life subthreshold depression indicate the major public health significance of this condition and suggest a need for further research on its neurobiology and treatment. Such efforts could potentially lead to prevention of considerable morbidity for the growing number of older adults.

Prevalence of depression and cognitive impairment in older adult emergency medical services patients

OBJECTIVES

To characterize the proportion of older adult emergency department (ED) patients with depression or cognitive impairment. To compare the prevalences of depression or cognitive impairment among ED patients arriving via emergency medical services (EMS) and those arriving via other modes.

METHODS

Community-dwelling older adults (age ≥60 years) presenting to an academic medical center ED were interviewed. Participants provided demographic and clinical information, and were evaluated for depression and cognitive impairment. Subjects arriving via EMS were compared with those arriving via other modes using the chi-square test, t-test, and the Wilcoxon rank sum test, where appropriate.

RESULTS

Consent was obtained from 1,342 eligible older adults; 695 (52%) arrived via EMS. The median age for those arriving via EMS was 74 years (interquartile range 65, 82), 52% were female, and 81% were white. Fifteen percent of EMS patients had moderate or greater depression, as compared with 14% of patients arriving via other modes (p = 0.52). Thirteen percent of the EMS patients had cognitive impairment, as compared with 8% of those arriving via other modes (p < 0.01). The depressed EMS patients frequently reported a history of depression (47%) and taking antidepressants (51%). The cognitively impaired EMS patients infrequently reported a history of dementia (16%) and taking medications for dementia (14%). Conclusions. In this cohort of community-dwelling older adult ED patients, depression and cognitive impairment were common. As compared with ED patients arriving by other transport means, patients arriving via EMS had a similar prevalence of depression but an increased prevalence of cognitive impairment. Screening for depression and cognitive impairment by EMS providers may have value, but needs further investigation.

Identifying symptom profiles of depression and anxiety in patients with an acute coronary syndrome using latent class and latent transition analysis

OBJECTIVE

To identify symptom profiles of depression and anxiety in patients with an acute coronary syndrome (ACS), to examine changes in symptom profiles over time, and finally, to examine the effects of age and sex on patients' symptom profiles.

METHODS

One hundred ACS patients with mild to severe symptoms of depression and/or anxiety at 1 month post-hospital discharge were enrolled in a randomized trial of cognitive behavioral therapy. Latent class and latent transition analyses were used to identify symptom profiles and describe change over the time in profile membership.

RESULTS

A two-class solution was selected to describe depression and anxiety symptom profiles. Class I (76% of patients at baseline) was labeled "depression and some anxiety symptoms." Class II (24% of patients at baseline) was labeled "anxiety and some depression symptoms." Approximately 25% of patients in the treatment condition transitioned from the depression and some anxiety symptoms class to the anxiety and some depression symptoms class at follow-up compared to 10% of patients in the control condition at follow-up; nearly 50% of patients in the control condition showed worsening of symptoms as compared to 28% in the treatment condition. Results suggested age differences in the probabilities of transitioning between the classes; older patients were more likely to continue having depression and some anxiety symptoms at the time of follow-up.

CONCLUSIONS

Identifying symptom profiles of depression and anxiety in patients with an ACS may improve diagnostic practices and help to design tailored interventions.

Shortness of breath as a predictor of depressive symptoms in a community sample of older adults

OBJECTIVES

Physical symptoms are known to be associated with late life depression both cross-sectionally and over time. We attempted to determine if self-reported shortness of breath (SoB) is associated with depressive symptoms at long-term (3-year) follow-up in a community sample of older (65+) adults.

METHODS

A sample of 2926 elderly subjects from the Duke Established Populations for Epidemiologic Studies of the Elderly (EPESE) were evaluated at baseline and at 3-year follow-up. Depressive symptoms were assessed by a modified version of the Center for Epidemiologic Studies-Depression Scale (CES-D) and SoB was assessed by a three-item scale administered at baseline. The analyses were controlled for factors known to be associated with depressive symptoms and SoB. Both bivariate and multivariate analyses were performed.

RESULTS

Eighty-three percent of subjects who experienced SoB survived for three years. Within the analysis sample of those participating at follow-up, 36 percent experienced SoB at baseline. In bivariate analyses, SoB, older age, female sex, history of a heart attack, higher body mass index (BMI), depressive symptoms at baseline, cognitive impairment, and functional impairment were associated with follow-up depressive symptoms. When controlled variables were included in a linear regression model, SoB was a significant predictor of depressive symptoms at follow-up (p < 0.0001) as well as baseline depressive symptoms, sex, BMI, and functional status. No two-way interaction terms with SoB were significant.

CONCLUSIONS

SoB is a significant predictor of depressive symptoms at 3-year follow-up. Given that SoB is a symptom that is responsive to therapeutic intervention, active intervention to relieve the symptom when identified could reduce the incidence of depressive symptoms.

Epidemiological and clinical use of GMHAT-PC (Global Mental Health assessment tool - primary care) in cardiac patients

Background

A computer assisted interview, the GMHAT/PC has been developed to assist General Practitioners and other Health Professionals to make a quick, convenient and comprehensive standardised mental health assessment. It has proved to be a reliable and valid tool in our previous studies involving General Practitioners and Nurses. Little is known about its use in cardiac rehabilitation settings.

Aim

The study aims to assess the feasibility of using a computer assisted diagnostic interview by nurses for patients attending Cardiac Rehabilitation Clinics and to examine the level of agreement between the GMHAT/PC diagnosis and a Psychiatrist clinical diagnosis. Prevalence of mental illness was also measured.

Design

Cross sectional validation and feasibility study.

Methods

Nurses using GMHAT/PC examined consecutive patients presenting to a cardiac rehabilitation centre. A total of 118 patients were assessed by nurses and consultant psychiatrist in cardiac rehabilitation centres. The kappa coefficient (κ), sensitivity, and specificity of the GMHAT/PC diagnosis were analysed as measures of validity. The time taken for the interview as well as feedback from patients and interviewers were indicators of feasibility. Data on prevalence of mental disorders in an outpatient cardiac rehabilitation setting was collected.

Results

The mean duration of the interview was 14 minutes. Feedback from patients and interviewers indicated good practical feasibility. The agreement between GMHAT/PC interview-based diagnoses and consultant psychiatrists' ICD-10 criteria-based clinical diagnosis was good or excellent (κ = 0.76, sensitivity = 0.73, specificity = 0.90). The prevalence of mental disorders in this group was 22%, predominantly depression. Very few cases were on treatment.

Conclusion

GMHAT/PC can assist nurses in making accurate mental health assessments and diagnoses in a cardiac rehabilitation setting and is acceptable to cardiac patients. It can successfully be used to gather epidemiological data and help in managing mental health problems in this group of patients.

Are illness perceptions about coronary artery disease predictive of depression and quality of life outcomes?

OBJECTIVE

Depression occurs commonly in coronary artery disease (CAD) and is associated with substantial disability. Modifiable cognitive determinants of depression in this population have not been identified. We investigated the impact of potentially modifiable illness beliefs about CAD on depressive symptomatology. We also examined the association between these beliefs and health-related quality of life (HRQOL) and socio-demographic variations in illness beliefs.

METHODS

A prospective study of 193 recently hospitalized CAD patients was conducted. Data were collected from medical records and by self-report 3 and 9 months post-discharge. Socio-demographic differences were analysed with independent sample t-tests. Predictive models were tested in a series of hierarchical linear regression equations that controlled for known clinical, psychosocial, and demographic correlates of outcome.

RESULTS

Negative illness beliefs, particularly those associated with the consequences of CAD, were significantly predictive of higher levels of depressive symptomatology at 3 and 9 months. Positive illness perceptions were significantly associated with better HRQOL outcomes. Older and less socially advantaged patients demonstrated more negative illness beliefs.

CONCLUSIONS

Illness beliefs are significantly associated with depressive symptomatology and HRQOL in CAD patients. These beliefs can be easily identified and constitute a meaningful and clinically accessible avenue for improving psychological morbidity and HRQOL in CAD patients. Older and more socially vulnerable patients may require heightened monitoring of their illness beliefs. Research needs to translate these and other predictive findings into interventions.

Depression among community-dwelling older adults in Korea: a prediction model of depression

The purpose of this study was to test a hypothesized model for use in explaining the factors that influence depression among older adults dwelling in Ansan City in Korea. A cross-sectional community-based survey was done using face-to-face private interviews. A hypothesized model was tested using path analysis. Of the 32 hypothesized paths in the structural model, 13 were significant. Gender (beta = -.14, P = .24), income (beta = -.21, P < .00), education (beta = -.14, P = .10), activities of daily living (ADL; beta = -.29, P < .00), and somatic symptoms (beta = .29, P < .00) accounted for the incidence of depression (beta = .06, P < .00), representing 28% of the variance in depression. The fit of the model to the data was supported.

Cognitive-personality style as vulnerability to depression in patients with coronary artery disease: roles of sociotropy and autonomy

OBJECTIVE

To investigate whether the cognitive-personality styles of sociotropy and autonomy and their component subscales are useful for explaining depressogenic vulnerability in a population of individuals with coronary artery disease (CAD) and to better understand the psychosocial etiology of depression in CAD. Depression occurs commonly in patients with CAD and is associated with substantial disability.

METHOD

A prospective study of 193 recently hospitalized CAD patients was conducted. Data were collected from medical records and by self-report at 3 (Time 1, T1) and 9 (Time 2, T2) months post discharge. The association between cognitive-personality styles and depression was tested in hierarchical linear regression equations controlling for clinical and demographic confounders.

RESULTS

High levels of autonomy were significantly associated with increased depressive symptomatology at T1 (p < .001) and T2 (p < .001). The association between autonomy and change in depression approached significance (p = .07). Sociotropy was not a significant predictor of depression at any time. The component subscales of the sociotropy and autonomy measures explained more variance in depressive symptomatology at T1 and T2 as well as change in depression than did the composite measures. The perfectionism subscale of autonomy was the most important predictor of depression at T1 and T2 contributing 5.3% and 5.1% of unique variance in depression, respectively. There was a trend for the association between perfectionism and change in depression (p = .06).

CONCLUSION

Cognitive-personality characteristics are an important predictor of depression in recently hospitalized patients with CAD. The findings suggest a clinical benefit in early detection of highly autonomous patients, particularly those who exhibit perfectionism, coupled with appropriate cognitive intervention and collaborative treatment planning.

Co-occurring mental illness and health care utilization and expenditures in adults with obesity and chronic physical illness

The objectives of the study were to compare health care expenditures between adults with and without mental illness among individuals with obesity and chronic physical illness. We performed a cross-sectional analysis of 2440 adults (older than age 21) with obesity using a nationally representative survey of households, the Medical Expenditure Panel Survey. Chronic physical illness consisted of self-reported asthma, diabetes, heart disease, hypertension, or osteoarthritis. Mental illness included affective disorders; anxiety, somatoform, dissociative, personality disorders; and schizophrenia. Utilization and expenditures by type of service (total, inpatient, outpatient, emergency room, pharmacy, and other) were the dependent variables. Chi-square tests, logistic regression on likelihood of use, and ordinary least squares regression on logged expenditures among users were performed. All regressions controlled for gender, race/ethnicity, age, martial status, region, education, employment, poverty status, health insurance, smoking, and exercise. All analyses accounted for the complex design of the survey. We found that 25% of adults with obesity and physical illness had a mental illness. The average total expenditures for obese adults with physical illness and mental illness were $9897; average expenditures were $6584 for those with physical illness only. Mean pharmacy expenditures for obese adults with physical illness and mental illness and for those with physical illness only were $3343 and $1756, respectively. After controlling for all independent variables, among adults with obesity and physical illness, those with mental illness were more likely to use emergency services and had higher total, outpatient, and pharmaceutical expenditures than those without mental illness. Among individuals with obesity and chronic physical illness, expenditures increased when mental illness is added. Our study findings suggest cost-savings efforts should examine the reasons for high utilization and expenditures for those with obesity, chronic physical illness, and mental illness.

From Bedside to Bench: summary from the American Geriatrics Society/National Institute on Aging Research Conference on Comorbidity and Multiple Morbidity in Older Adults

Most aging patients have multiple concurrent health problems. However, most current medical practice and research are largely based on a single disease model, failing to account for the simultaneous presence of multiple conditions. Clinical trials, practice guidelines, and pay-for-performance schemes may thus have limited applicability in older patients. We report on the 2005 American Geriatrics Society/National Institute on Aging conference on Comorbid Disease and Multiple Morbidity in an Aging Society. The two-day conference was designed to clarify concepts of multiple concurrent health conditions; explore implications for causation, health, function and systems of care; identify important gaps in knowledge; and propose useful next steps. While the conference did not attempt to standardize terminology, we here develop the concepts of comorbidity, multiple morbidity, condition clusters, physiological health, and overall health as they were used. The present report also summarizes sessions addressing the societal burden of comorbidity, and clinical research on particular diseases within the framework of comorbidity concepts. Next steps recommended include continuing clarification of terms and conceptual approaches, consideration of developing and improving measures, as well as developing new research directions.

Depression and cardiac function in patients with stable coronary heart disease: findings from the Heart and Soul Study

OBJECTIVE

To determine whether depression is associated with worse cardiac disease severity in patients with stable coronary heart disease (CHD). There is considerable evidence that depression is a risk factor for adverse cardiovascular events in patients with CHD. However, a frequent criticism of this literature is that the association between depression and adverse cardiovascular outcomes may be confounded by worse baseline cardiac disease severity in depressed patients.

METHOD

In a sample of 1020 outpatients with stable CHD, we examined the association between major depression (assessed using the Computerized National Institute of Mental Health Diagnostic Interview Schedule) with measures of cardiac disease severity, including systolic dysfunction, diastolic dysfunction, exercise-induced ischemia, and cardiac wall motion abnormalities. Cross-sectional univariate and multivariate models controlling for demographic and clinical variables were computed.

RESULTS

Of the 1020 participants, 224 (22%) had current (past month) major depression. After adjustment for age, major depression was not associated with systolic dysfunction, diastolic dysfunction, inducible ischemia, or cardiac wall motion abnormalities. Similarly, multivariate models revealed no significant relationship between major depression and cardiac disease severity.

CONCLUSIONS

Overall, we found little evidence that depression is associated with worse cardiac disease severity. This suggests that greater baseline cardiac disease severity is unlikely to be responsible for the increased risk of CHD events in depressed patients.

Changes in health-related quality of life following percutaneous coronary intervention: A longitudinal study

BACKGROUND

Coronary artery disease (CAD) is a major cause of mortality and morbidity in developed countries. The percutaneous coronary intervention (PCI) is a frequently used treatment for CAD. In order to manage the disease more effectively and to promote the health-related quality of life (HRQoL) of these patients, understanding the current status of HRQoL before and after PCI procedure is essential.

OBJECTIVES

This study was to examine the changes of HRQoL from before PCI to the first 3 months after PCI on Hong Kong Chinese.

DESIGN

A longitudinal, one-group observational design was used.

SETTING

Data collected from cardiac patients admitted into a regional public hospital at Hong Kong Island for PCI.

PARTICIPANTS

Between August 2003 and February 2004, all patients admitted for non-emergency PCI at the study site and met the inclusion criteria were invited to take part in the study. Seventy-eight out of 85 eligible patients agreed to participate. However, 13 patients dropped out during data collection period.

METHODS

HRQoL data using the Medical Outcomes Study 36-Item Short Form 36 (SF-36) and Seattle Angina Questionnaire (SAQ) were collected before PCI, 1 and 3 months after PCI.

RESULTS

Sixty-five patents completed the study. All domains in SF-36 and SAQ improved at 1 month but the improvements did not continue in all domains at 3 months. The HRQoL measured by SF-36 improved significantly over time (p<0.05) for six out of the eight domains. Scores of all domains of SF-36 improved at 3 months when compared with baseline. Moreover, all five domains of SAQ changed significantly over time (p<0.05); however, the score of angina stability at the third month was lower than that at baseline.

CONCLUSIONS

The results of this study quantify the benefits of PCI procedure on HRQoL of patients. Although PCI improved the HRQoL 1 month after PCI, the effect did not last long. Nursing interventions are needed to maintain and further enhance the HRQoL of these patients and the interventions should be introduced immediately post-PCI.

Association of AGTR1 with 18-month treatment outcome in late-life depression

OBJECTIVE

Converging lines of evidence implicate vascular factors in late-life depression, and argue that late-life depression is a distinct entity among the mood disorders. The A1166C polymorphism in the angiotensin II receptor, vascular type 1 (AGTR1) gene has been associated with a range of vascular diseases. This study investigated the association of AGTR1 genotype on 18-month treatment outcome in late-life depression.

METHODS

In a large, prospective cohort study, patients with late-life depression received individualized treatment using a standardized algorithm. The authors genotyped participants at the AGTR1 A1166C single nucleotide polymorphism (SNP) using standardized methodology, then used survival analysis to estimate the impact of A1166C and demographic variables on time to remission during 18 months of follow-up.

RESULTS

The hazard ratio for AGTR1 homozygous C/C status was 0.37. The A1166C SNP showed evidence for genotypic and allelic association in a comparison of remitted and unremitted/censored subjects.

CONCLUSION

Consistent with its association with numerous vascular disorders, AGTR1 is associated with treatment outcome in late-life depression. Further studies are needed to replicate this finding, and to investigate the impact of other genetic markers of vascular disease on late-life depression outcome.

Patient satisfaction with treatment after acute myocardial infarction: role of psychosocial factors

OBJECTIVE

To determine if psychosocial status influences treatment satisfaction, a quality-of-care indicator, of patients who were hospitalized for acute myocardial infarction (AMI).

METHODS

Psychosocial variables (social support, dispositional optimism, and depression) were assessed in 1847 AMI patients who completed a 1-month assessment in Prospective Registry Evaluating Myocardial Infarction: Events and Recovery (PREMIER), a multicenter, prospective cohort study. Patients' treatment satisfaction was determined using the Treatment Satisfaction scale of the Seattle Angina Questionnaire. The association between psychosocial variables and treatment satisfaction-adjusted for site, sociodemographics, medical history, clinical presentation, and treatment procedures-was evaluated using a censored normal model.

RESULTS

Study participants were primarily white (77.6%) and male (68.8%), with a mean age of 60.6 +/- 12.7 (SD) years. Satisfaction with posthospitalization treatment following AMI increased as social support (Wald chi(2) = 35.02, p < .001) and dispositional optimism (beta = 1.42; 95% CI 0.24, 2.60) increased. Participants with mild (-3.10, 95% CI -5.77, -0.44), moderate (-4.77, 95% CI -8.16, -1.38), moderately severe (-8.49, 95% CI -13.47, -3.52), and severe (-11.65, 95% CI -18.77, -4.53) depression had significantly worse treatment satisfaction compared with the nondepressed participants.

CONCLUSION

Assessing psychosocial variables, such as social support, dispositional optimism, and depression severity before hospital discharge, may indicate who is likely to be more satisfied with posthospitalization cardiac care 1 month following AMI. Without controlling for psychosocial status, treatment satisfaction may be a biased indicator of quality. Future studies should evaluate whether psychosocial intervention after AMI can improve satisfaction.