Associations between DSM-IV mental disorders and subsequent non-fatal, self-reported stroke

Depression, anxiety, insomnia, stress, and the way of coping emotions as risk factors for ischemic stroke and their influence on stroke severity: A case-control study in Lebanon

BACKGROUND

Stroke is a leading cause of disability and death worldwide. There are numerous debates regarding the relationship between depression, anxiety, insomnia, perceived stress, and ischemic stroke. Moreover, no research on the efficacy of emotion regulation, which is critical for various components of healthy affective and social adaptability, is being conducted. To the best of our knowledge, this is the first study in the MENA region to shed light on the relationship between these conditions and stroke risk, aiming to determine whether depression, anxiety, insomnia, stress, and the way of coping with emotions may be risk factors for ischemic stroke occurrence and to further investigate the ability of two specific types of emotion regulation (cognitive reappraisal and expressive suppression) as possible moderators of the relationship between these psychological diseases and ischemic stroke risk. As a secondary objective, we sought to determine how these pre-existing conditions affect stroke severity levels.

METHODS

This is a case-control survey study involving 113 Lebanese inpatients with a clinical diagnosis of ischemic stroke admitted in hospitals and rehabilitation centers in Beirut and Mount Lebanon, and 451 gender-matched volunteers without clinical signs of stroke as controls recruited from the same hospitals as the cases or attending outpatient clinics for illnesses or treatments unconnected to stroke or transient ischemic attack, as well as visitors or relatives of inpatients (April 2020-April 2021). Data was collected by filling out an anonymous paper-based questionnaire.

RESULTS

According to the outcomes of the regression model, depression (aOR: 1.232, 95%CI: 1.008-1.506), perceived stress (aOR: 1.690, 95%CI: 1.413-2.022), a lower educational level (aOR: 0.335, 95%CI: 0.011-10.579), and being married (aOR: 3.862, 95%CI: 1.509-9.888) were associated with an increased risk of ischemic stroke. The moderation analysis revealed that expressive suppression had a significant moderating effect on the relationship between depression, anxiety, perceived stress, insomnia, and ischemic stroke risk, resulting in an increased risk of stroke incidence. In contrast, cognitive reappraisal significantly reduced the risk of ischemic stroke by moderating the association between ischemic stroke risk and the following independent variables: perceived stress and insomnia. On the other hand, our multinomial regression model revealed that the odds of moderate to severe/severe stroke were significantly higher in people with pre-stroke depression (aOR: 1.088, 95% CI: 0.747-1.586) and perceived stress (aOR: 2.564, 95% CI: 1.604-4.100) compared to people who had never had a stroke.

CONCLUSION

Despite several limitations, the findings of our study suggest that people who are depressed or stressed are more likely to have an ischemic stroke. Consequently, additional research into the causes and effects of depression and perceived stress may provide new directions for preventive strategies that can help reduce the risk of stroke. Since pre-stroke depression and perceived stress were also found to be strongly correlated with stroke severity, future studies should evaluate the association between pre-stroke depression, perceived stress, and stroke severity to gain a deeper understanding of the complex interaction between these variables. Lastly, the study shed new light on the role of emotion regulation in the relationship between depression, anxiety, perceived stress, insomnia, and ischemic stroke.

Sex-specific associations between lifetime diagnosis of bipolar disorder and cardiovascular disease: A cross-sectional analysis of 257,673 participants from the UK Biobank

BACKGROUND

Sex is seldom considered as a potential moderator of the impact of bipolar disorder (BD) on cardiovascular disease (CVD) risk. We aimed to characterize the sex-specific association of CVD and BD using data from the UK Biobank.

METHODS

In a cross-sectional analysis, we compared the odds ratio between women and men with BD for seven CVD diagnoses (coronary artery disease, myocardial infarction, angina, atrial fibrillation, heart failure, stroke, and essential hypertension) and four cardiovascular biomarkers (arterial stiffness index, low-density lipoprotein, C-reactive protein, and HbA1c) in 293 participants with BD and 257,380 psychiatrically healthy controls in the UK Biobank.

RESULTS

After adjusting for age, we found a two- to three-fold stronger association among women than among men between BD and rates of coronary artery disease, heart failure, and essential hypertension, with a significant sex-by-diagnosis interactions. The association remained significant after controlling for self-reported race, education, income, and smoking status. After controlling for potential confounders, there was no significant association between sex and any cardiovascular biomarkers.

LIMITATIONS

These analyses could not disentangle effects of BD from its treatment.

CONCLUSIONS

Our results underscore the importance of incorporating sex and mental illness in risk estimation tools for CVD, and improving screening for, and timely treatment of, CVD in those with BD. Future research is needed to better understand the contributors and mechanisms of sex differences related to CVD risk in BD.

Temporal trends in associations between severe mental illness and risk of cardiovascular disease: A systematic review and meta-analysis

BACKGROUND

Severe mental illness (SMI; schizophrenia, bipolar disorders (BDs), and other nonorganic psychoses) is associated with increased risk of cardiovascular disease (CVD) and CVD-related mortality. To date, no systematic review has investigated changes in population level CVD-related mortality over calendar time. It is unclear if this relationship has changed over time in higher-income countries with changing treatments.

METHODS AND FINDINGS

To address this gap, a systematic review was conducted, to assess the association between SMI and CVD including temporal change. Seven databases were searched (last: November 30, 2021) for cohort or case-control studies lasting ≥1 year, comparing frequency of CVD mortality or incidence in high-income countries between people with versus without SMI. No language restrictions were applied. Random effects meta-analyses were conducted to compute pooled hazard ratios (HRs) and rate ratios, pooled standardised mortality ratios (SMRs), pooled odds ratios (ORs), and pooled risk ratios (RRs) of CVD in those with versus without SMI. Temporal trends were explored by decade. Subgroup analyses by age, sex, setting, world region, and study quality (Newcastle-Ottawa scale (NOS) score) were conducted. The narrative synthesis included 108 studies, and the quantitative synthesis 59 mortality studies (with (≥1,841,356 cases and 29,321,409 controls) and 28 incidence studies (≥401,909 cases and 14,372,146 controls). The risk of CVD-related mortality for people with SMI was higher than controls across most comparisons, except for total CVD-related mortality for BD and cerebrovascular accident (CVA) for mixed SMI. Estimated risks were larger for schizophrenia than BD. Pooled results ranged from SMR = 1.55 (95% confidence interval (CI): 1.33 to 1.81, p < 0.001), for CVA in people with BD to HR/rate ratio = 2.40 (95% CI: 2.25 to 2.55, p < 0.001) for CVA in schizophrenia. For schizophrenia and BD, SMRs and pooled HRs/rate ratios for CHD and CVD mortality were larger in studies with outcomes occurring during the 1990s and 2000s than earlier decades (1980s: SMR = 1.14, 95% CI: 0.57 to 2.30, p = 0.71; 2000s: SMR = 2.59, 95% CI: 1.93 to 3.47, p < 0.001 for schizophrenia and CHD) and in studies including people with younger age. The incidence of CVA, CVD events, and heart failure in SMI was higher than controls. Estimated risks for schizophrenia ranged from HR/rate ratio 1.25 (95% CI: 1.04 to 1.51, p = 0.016) for total CVD events to rate ratio 3.82 (95% CI: 3.1 to 4.71, p < 0.001) for heart failure. Incidence of CHD was higher in BD versus controls. However, for schizophrenia, CHD was elevated in higher-quality studies only. The HR/rate ratios for CVA and CHD were larger in studies with outcomes occurring after the 1990s. Study limitations include the high risk of bias of some studies as they drew a comparison cohort from general population rates and the fact that it was difficult to exclude studies that had overlapping populations, although attempts were made to minimise this.

CONCLUSIONS

In this study, we found that SMI was associated with an approximate doubling in the rate ratio of CVD-related mortality, particularly since the 1990s, and in younger groups. SMI was also associated with increased incidence of CVA and CHD relative to control participants since the 1990s. More research is needed to clarify the association between SMI and CHD and ways to mitigate this risk.

Incidence of neurological and psychiatric comorbidity over time: a population-based cohort study in Ontario, Canada

INTRODUCTION

Comprehensive, population-based investigations of the extent and temporality of associations between common neurological and psychiatric disorders are scarce.

METHODS

This retrospective cohort study used linked health administrative data for Ontarians aged 40-85 years on 1 April 2002, to estimate the adjusted rate of incident dementia, Parkinson's disease (PD), stroke or mood/anxiety disorder (over 14 years) according to the presence and time since diagnosis of a prior disorder. Sex differences in the cumulative incidence of a later disorder were also examined.

RESULTS

The cohort included 5,283,546 Ontarians (mean age 56.2 ± 12.1 years, 52% female). The rate of dementia was significantly higher for those with prior PD (adjusted hazard ratio [adjHR] 4.05, 95% confidence interval [CI] 3.99-4.11); stroke (adjHR 2.49, CI 2.47-2.52) and psychiatric disorder (adjHR 1.79, CI 1.78-1.80). The rate of PD was significantly higher for those with prior dementia (adjHR 2.23, CI 2.17-2.30) and psychiatric disorder (adjHR 1.77, CI 1.74-1.81). The rate of stroke was significantly higher among those with prior dementia (adjHR 1.56, CI 1.53-1.58). Prior dementia (adjHR 2.36, CI 2.33-2.39), PD (adjHR 1.80, CI 1.75-1.85) and stroke (adjHR 1.47, CI 1.45-1.49) were associated with a higher rate of an incident psychiatric disorder. Generally, associations were strongest in the 6 months following a prior diagnosis and demonstrated a J-shape relationship over time. Significant sex differences were evident in the absolute risks for several disorders.

CONCLUSIONS

The observed nature of bidirectional associations between these neurological and psychiatric disorders indicates opportunities for earlier diagnosis and interventions to improve patient care.

Mind-Body Connection: Cardiovascular Sequelae of Psychiatric Illness

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. Mental health disorders are associated with the onset and progression of cardiac disease. The adverse sequelae of this association include worsened quality of life, adverse cardiovascular outcomes, and heightened mortality. The increased prevalence of CVD is partly explained by increased rates of traditional cardiovascular risk factors including hypertension, hyperlipidemia, diabetes mellitus, obesity, and smoking, but mental illness is an independent risk factor for CVD and mortality. Given the association between mental health disorders and poor cardiovascular health, it is vital to have an early and accurate identification and treatment of these disorders. Our review article shares the current literature on the adverse cardiovascular events associated with psychiatric disorders. We present a review on depression, anxiety, bipolar disorder, schizophrenia, type A and D personality disorders, obsessive-compulsive disorder, and stress.

Risk of diabetes in stroke patients who used Bu Yang Huan Wu Tang: A nationwide propensity-score matched study

BACKGROUND

The utilization of traditional Chinese medicine is a common therapeutic approach for stroke patients in Chinese population, but little is known about the effect of Bu Yang Huan Wu Tang (BYHWT) on post-stroke diabetes.

PURPOSE

We aimed to evaluate the risk of diabetes in stroke patients who used BYHWT.

STUDY DESIGN

A retrospective cohort study based on a real-world database was conducted.

METHODS

Newly diagnosed stroke patients receiving inpatient care from 2000 to 2004 were identified using a large-scale insurance database in Taiwan. Propensity score matching was used to select eligible stroke patients who did (n = 9849) and did not (n = 9849) receive BYHWT. These two groups were followed up until the end of 2009 to track incident diabetes. Cox proportional hazard models were used to calculate the adjusted hazard rations (HRs) and 95% confidence intervals (CIs) for post-stroke diabetes associated with BYHWT during the follow-up period.

RESULTS

Stroke patients who used BYHWT had a reduced incidence of diabetes (14.1% vs. 19.0%, p < 0.0001) and reduced risk of diabetes (HR 0.77; 95% CI 0.72 to 0.83) compared with the control group. The association between BYHWT and reduced risk of post-stroke diabetes was significant across sexe, age group, and stroke subtype. Additionally, the use of BYHWT was associated with a reduced risk of post-stroke diabetes even after excluding the initial three months of diabetes cases in the sensitivity analysis.

CONCLUSIONS

Stroke patients who received BYHWT therapy had a reduced risk of diabetes, and a positive effect was observed in various subgroups. However, future clinical trials will be necessary to validate the present findings and identify the biochemical mechanism involved.

Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank

Patients with depression are at increased risk for a range of comorbid diseases, with, however, unclear explanations. In this large community-based cohort study of the UK Biobank, 24,130 patients diagnosed with depression were compared to 120,366 matched individuals without such a diagnosis. Follow-up was conducted from 6 months after the index date until death or the end of 2019, for the occurrence of 470 medical conditions and 16 specific causes of death. The median age at the time of the depression diagnosis was 62.0 years, and most of the patients were female (63.63%). During a median follow-up of 4.94 years, 129 medical conditions were found to be significantly associated with a prior diagnosis of depression, based on adjusted Cox regression models. Using disease trajectory network analysis to visualize the magnitude of disease-disease associations and the temporal order of the associated medical conditions, we identified three main affected disease clusters after depression (i.e., cardiometabolic diseases, chronic inflammatory diseases, and diseases related to tobacco abuse), which were further linked to a wider range of other conditions. In addition, we also identified three depression-mortality trajectories leading to death due to cardiovascular disease, respiratory system disease and malignant neoplasm. In conclusion, an inpatient diagnosis of depression in later life is associated with three distinct network-based clusters of medical conditions, indicating alterations in the cardiometabolic system, chronic status of inflammation, and tobacco abuse as key pathways to a wide range of other conditions downstream. If replicated, these pathways may constitute promising targets for the health promotion among depression patients.

Association between Mental Disorders and Subsequent Medical Conditions

BACKGROUND

Persons with mental disorders are at a higher risk than the general population for the subsequent development of certain medical conditions.

METHODS

We used a population-based cohort from Danish national registries that included data on more than 5.9 million persons born in Denmark from 1900 through 2015 and followed them from 2000 through 2016, for a total of 83.9 million person-years. We assessed 10 broad types of mental disorders and 9 broad categories of medical conditions (which encompassed 31 specific conditions). We used Cox regression models to calculate overall hazard ratios and time-dependent hazard ratios for pairs of mental disorders and medical conditions, after adjustment for age, sex, calendar time, and previous mental disorders. Absolute risks were estimated with the use of competing-risks survival analyses.

RESULTS

A total of 698,874 of 5,940,299 persons (11.8%) were identified as having a mental disorder. The median age of the total population was 32.1 years at entry into the cohort and 48.7 years at the time of the last follow-up. Persons with a mental disorder had a higher risk than those without such disorders with respect to 76 of 90 pairs of mental disorders and medical conditions. The median hazard ratio for an association between a mental disorder and a medical condition was 1.37. The lowest hazard ratio was 0.82 for organic mental disorders and the broad category of cancer (95% confidence interval [CI], 0.80 to 0.84), and the highest was 3.62 for eating disorders and urogenital conditions (95% CI, 3.11 to 4.22). Several specific pairs showed a reduced risk (e.g., schizophrenia and musculoskeletal conditions). Risks varied according to the time since the diagnosis of a mental disorder. The absolute risk of a medical condition within 15 years after a mental disorder was diagnosed varied from 0.6% for a urogenital condition among persons with a developmental disorder to 54.1% for a circulatory disorder among those with an organic mental disorder.

CONCLUSIONS

Most mental disorders were associated with an increased risk of a subsequent medical condition; hazard ratios ranged from 0.82 to 3.62 and varied according to the time since the diagnosis of the mental disorder. (Funded by the Danish National Research Foundation and others; COMO-GMC ClinicalTrials.gov number, NCT03847753.).

[The risk of medical comorbidity in mental disorders with a particular focus on depressive syndromes]

The risk of medical comorbidity in mental disorders with a particular focus on depressive syndromes Objectives: It has long been recognized that certain mental disorders, and in particular depressive syndromes, are associated with increased medical comorbidity. However, reliable data on the prevalence of comorbid medical diagnoses as well as the impact of these comorbidities on mortality are often rare and sometimes conflicting. Methods: A systematic literature review was conducted using PubMed and Google Scholar to provide a critical account of the current state of research on the comorbidities of medical and mental disorders, with a particular focus on depressive syndromes. Results: Among patients with mental disorders, all-cause mortality is about doubled as compared to the general population causing a significantly shortened life expectancy in the range of one to two decades. This excess mortality is primarily due to increased physical morbidity and mortality, and it cannot be excluded that, for patients with severe mental disorders, excess mortality has been increased over time. Depressive syndromes are often linked to a broad range of somatic symptoms and can be found in diseases, such as heart disease, stroke, diabetes mellitus, overweight/obesity, and asthma. Conclusion: Current studies provide ample evidence of close interactions between physical and mental health. Further developments in the field of psychosomatic medicine should take into consideration the health-related consequences of these interactions.

Effects of physical therapy on mental function in patients with stroke

OBJECTIVE

In this study, we aimed to determine the effects of physical therapy intervention on mental function in patients with stroke.

METHODS

In this retrospective experimental study, we included 134 patients previously diagnosed with anxiety and depression who presented to our outdoor physical therapy clinic with hemiplegia owing to stroke during 2016 to 2018. The main interventions were neurodevelopmental techniques, strength training, stationary cycling, and shoulder wheel exercise. The treatment duration was 6 months, 5 days a week. Key outcome measurement tools included the Patient Health Questionnaire-9 (PHQ-9), Disability Rating Scale (DRS), and Functional Independent Measure (FIM). Baseline and post-interventional measurements were compared using a paired-sample t-test.

RESULTS

Baseline scores on the PHQ-9, DRS, and FIM were 24.77±1.24, 19.67±1.25, and 20.77±1.74, respectively; post-intervention scores on these three scales were 9.08±0.49, 7.78±1.49, and 82.52±10.03 respectively. In the comparison, significant differences were observed between baseline and post-interventional scores.

CONCLUSION

We found that physiotherapy interventions improved motor function in patients with stroke as well as their mental function. Patients with stroke with impaired mental function can improve by participating in a physiotherapy treatment program.

Undiagnosed cardiovascular disease prior to cardiovascular death in individuals with severe mental illness

OBJECTIVE

To examine whether individuals with schizophrenia (SCZ) or bipolar disorder (BD) had equal likelihood of not being diagnosed with cardiovascular disease (CVD) prior to cardiovascular death, compared to individuals without SCZ or BD.

METHODS

Multivariate logistic regression analysis including nationwide data of 72 451 cardiovascular deaths in the years 2011-2016. Of these, 814 had a SCZ diagnosis and 673 a BD diagnosis in primary or specialist health care.

RESULTS

Individuals with SCZ were 66% more likely (OR: 1.66; 95% CI: 1.39-1.98), women with BD were 38% more likely (adjusted OR: 1.38; 95% CI: 1.04-1.82), and men with BD were equally likely (OR: 0.88, 95% CI: 0.63-1.24) not to be diagnosed with CVD prior to cardiovascular death, compared to individuals without SMI. Almost all (98%) individuals with SMI and undiagnosed CVD had visited primary or specialized somatic health care prior to death, compared to 88% among the other individuals who died of CVD.

CONCLUSION

Individuals with SCZ and women with BD are more likely to die due to undiagnosed CVD, despite increased risk of CVD and many contacts with primary and specialized somatic care. Strengthened efforts to prevent, recognize, and treat CVD in individuals with SMI from young age are needed.

Impact of psychiatric comorbidity on the severity, short-term functional outcome, and psychiatric complications after acute stroke

BACKGROUND AND PURPOSE

The comorbidity of psychiatric disorders and cerebrovascular disease appears to be complex with underlying bidirectional influences. Hitherto, research has focused mainly on the evaluation of stroke risk in particular psychiatric disorders; only a few studies have assessed their role in the acute natural history of stroke. The aim of this study was to provide a perspective on psychiatric premorbidity and its impact on stroke severity, psychiatric complications during the initial treatment phase, and the short-term functional outcome of stroke.

PATIENTS AND METHODS

We retrospectively studied the impact of a predocumented psychiatric diagnosis (PDPD) on stroke severity, short-term functional outcome, and psychiatric complications in a sample of 798 patients consecutively admitted for acute ischemic or hemorrhagic stroke by performing a chart review. Group comparisons (PDPD vs non-PDPD) with adjustment for covariates were carried out either using multivariate analysis of variance or logistic regression analysis.

RESULTS

More severe strokes (ie, mean National Institute of Health Stroke Scale score on admission 10.1±7.9 vs 7.5±7.4; F(10,796)=18.5, p<0.0001) and higher prevalence of poor outcome (73.7 vs 54.9%; OR: 2.6, standard error: 0.5, z=4.82, p<0.0001) was found in patients with a documented psychiatric diagnosis at the time of stroke, as well as a higher rate of psychiatric complications during the initial treatment phase (46.7 vs 28.9%; OR: -0.78, z=4.59, p<0.0001).

CONCLUSION

Our data have clinical implications in that they call for identification of psychiatric premorbidity or comorbidity through careful history-taking and particularly close monitoring for psychiatric complications with respect to their potentially negative impact on outcome after stroke.

Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analysis of 3,211,768 patients and 113,383,368 controls

People with severe mental illness (SMI) - schizophrenia, bipolar disorder and major depressive disorder - appear at risk for cardiovascular disease (CVD), but a comprehensive meta-analysis is lacking. We conducted a large-scale meta-analysis assessing the prevalence and incidence of CVD; coronary heart disease; stroke, transient ischemic attack or cerebrovascular disease; congestive heart failure; peripheral vascular disease; and CVD-related death in SMI patients (N=3,211,768) versus controls (N=113,383,368) (92 studies). The pooled CVD prevalence in SMI patients (mean age 50 years) was 9.9% (95% CI: 7.4-13.3). Adjusting for a median of seven confounders, patients had significantly higher odds of CVD versus controls in cross-sectional studies (odds ratio, OR=1.53, 95% CI: 1.27-1.83; 11 studies), and higher odds of coronary heart disease (OR=1.51, 95% CI: 1.47-1.55) and cerebrovascular disease (OR=1.42, 95% CI: 1.21-1.66). People with major depressive disorder were at increased risk for coronary heart disease, while those with schizophrenia were at increased risk for coronary heart disease, cerebrovascular disease and congestive heart failure. Cumulative CVD incidence in SMI patients was 3.6% (95% CI: 2.7-5.3) during a median follow-up of 8.4 years (range 1.8-30.0). Adjusting for a median of six confounders, SMI patients had significantly higher CVD incidence than controls in longitudinal studies (hazard ratio, HR=1.78, 95% CI: 1.60-1.98; 31 studies). The incidence was also higher for coronary heart disease (HR=1.54, 95% CI: 1.30-1.82), cerebrovascular disease (HR=1.64, 95% CI: 1.26-2.14), congestive heart failure (HR=2.10, 95% CI: 1.64-2.70), and CVD-related death (HR=1.85, 95% CI: 1.53-2.24). People with major depressive disorder, bipolar disorder and schizophrenia were all at increased risk of CVD-related death versus controls. CVD incidence increased with antipsychotic use (p=0.008), higher body mass index (p=0.008) and higher baseline CVD prevalence (p=0.03) in patients vs.

CONTROLS

Moreover, CVD prevalence (p=0.007), but not CVD incidence (p=0.21), increased in more recently conducted studies. This large-scale meta-analysis confirms that SMI patients have significantly increased risk of CVD and CVD-related mortality, and that elevated body mass index, antipsychotic use, and CVD screening and management require urgent clinical attention.

Fear and distress disorders as predictors of heart disease: A temporal perspective

OBJECTIVE

Few studies have been able to contrast associations of anxiety and depression with heart disease. These disorders can be grouped in fear and distress disorders. Aim of this study was to study the association between fear and distress disorders with subsequent heart disease, taking into account the temporal order of disorders.

METHODS

Twenty household surveys were conducted in 18 countries (n=53791; person years=2,212,430). The Composite International Diagnostic Interview assessed lifetime prevalence and age at onset of disorders, and respondents were categorized into categories based on the presence and timing of fear and distress disorders. Heart disease was indicated by self-report of physician-diagnosed heart disease or self-report of heart attack, together with year of onset. Survival analyses estimated associations between disorder categories and heart disease.

RESULTS

Most respondents with fear or distress disorders had either pure distress or pure fear (8.5% and 7.7% of total sample), while fear preceded distress in the large majority of respondents with comorbid fear and distress (3.8% of total sample). Compared to the "no fear or distress disorder" category, respondents with pure fear disorder had the highest odds of subsequent heart disease (OR:1.8; 95%CI:1.5-2.2; p<0.001) and compared to respondents with pure distress disorder, these respondents were at a significantly increased risk of heart disease (OR:1.3; 95%CI:1.0-1.6; p=0.020).

CONCLUSION

This novel analytic approach indicates that the risk of subsequent self-reported heart disease associated with pure fear disorder is significantly larger than the risk associated with distress disorder. These results should be confirmed in prospective studies using objective measures of heart disease.