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. Author manuscript; available in PMC: 2014 Oct 15.
Published in final edited form as: Int J Cardiol. 2013 Aug 15;168(6):10.1016/j.ijcard.2013.08.012. doi: 10.1016/j.ijcard.2013.08.012

Associations between DSM-IV mental disorders and subsequent heart disease onset: beyond depression

Kate M Scott 1, Peter de Jonge 2, Jordi Alonso 3, Maria Carmen Viana 4, Zhaorui Liu 5, Siobhan O’Neill 6, Sergio Aguilar-Gaxiola 7, Ronny Bruffaerts 8, Jose Miguel Caldas-de-Almeida 9, Dan J Stein 10, Giovanni de Girolamo 11, Silvia E Florescu 12, Chiyi Hu 13, Nezar Ismet Taib 14, Jean-Pierre Lépine 15, Daphna Levinson 16, Herbert Matschinger 17, Maria Elena Medina-Mora 18, Marina Piazza 19, José A Posada-Villa 20, Hidenori Uda 21, Bogdan J Wojtyniak 22, Carmen C W Lim 23, Ronald C Kessler 24
PMCID: PMC3886238  NIHMSID: NIHMS516450  PMID: 23993321

Abstract

Background

Prior studies on the depression-heart disease association have not usually used diagnostic measures of depression, nor taken other mental disorders into consideration. As a result, it is not clear whether the association between depression and heart disease onset reflects a specific association, or the comorbidity between depression and other mental disorders. Additionally, the relative magnitude of associations of a range of mental disorders with heart disease onset is unknown.

Methods

Face-to-face household surveys were conducted in 19 countries (n=52,095; person years=2,141,194). The Composite International Diagnostic Interview retrospectively assessed lifetime prevalence and age at onset of 16 DSM-IV mental disorders. Heart disease was indicated by self-report of physician’s diagnosis, or self-report of heart attack, together with their timing (year). Survival analyses estimated associations between first onset of mental disorders and subsequent heart disease onset.

Results

After comorbidity adjustment, depression, panic disorder, specific phobia, post-traumatic stress disorder and alcohol use disorders were associated with heart disease onset (ORs 1.3–1.6). Increasing number of mental disorders was associated with heart disease in a dose-response fashion. Mood disorders and alcohol abuse were more strongly associated with earlier onset than later onset heart disease. Associations did not vary by gender.

Conclusions

Depression, anxiety and alcohol use disorders were significantly associated with heart disease onset; depression was the weakest predictor. If confirmed in future prospective studies, the breadth of psychopathology’s links with heart disease onset has substantial clinical and public health implications.

Keywords: depression, anxiety disorders, alcohol abuse, heart disease, comorbidity

INTRODUCTION

An association between depressed mood and subsequent heart disease onset has been well documented 14. However, an important limitation of most prior studies is that they have used symptom screening scales rather than diagnostic measures of depression. Symptom screening scales do not discriminate well between negative emotions 5,6 and do not always map well onto diagnostic categories 4. It is therefore unknown how much of the association observed in relation to depression may be explained by comorbid mental disorders such as anxiety disorders 5,6, as anxiety has also been linked with subsequent heart disease 7. In fact, it has been suggested that anxiety might be more strongly associated with heart disease than depression 6, but we are not aware of a prior study including diagnostic measures of both depression and anxiety disorders that has been able to compare their relative strength of association with heart disease. Further mechanistic research into depression may be of limited use unless it can be established that depression specifically is related to heart disease onset after taking comorbidity between all mental disorders into account.

A further consequence of the limited use of diagnostic measures of mental disorders in prior research is that it is unknown whether mental disorders other than depression and anxiety are associated with subsequent heart disease onset. Other mental disorders that could conceivably be linked with heart disease include bipolar affective disorder, alcohol use disorders, eating disorders, and intermittent explosive disorder (a disorder of anger dysregulation). Other gaps in our understanding of mental disorder-heart disease associations include whether experiencing more than one mental disorder further elevates risk of heart disease and whether associations vary by gender, or by age of onset (of either the mental disorder or of heart disease).

The present study uses the cross-national World Mental Health (WMH) Surveys dataset to examine associations between a wide range of DSM-IV mental disorders and subsequent heart disease onset. The WMH surveys are general population surveys that retrospectively assessed lifetime history of DSM-IV mental disorders and also obtained self-report of physician’s diagnosis of chronic physical conditions including heart disease. The surveys are cross-sectional in design but collected information on age of onset of mental disorders and age at diagnosis of heart disease which allows the use of survival analysis to examine associations between temporally prior mental disorders and the subsequent onset of heart disease.

Our aims in this study were: (i) to investigate the association of the first onset of mood, anxiety, impulse control and substance use disorders with subsequent onset of heart disease, with and without adjustment for mental disorder comorbidity; (ii) to assess whether increasing number of mental disorders is associated with increasing risk of heart disease in a dose-response fashion; (iii) to examine whether associations vary by gender, or by age of mental disorder or heart disease onset.

METHOD

Samples and Procedures

This study uses data from 19 of the WMH surveys (see Table 1). A stratified multistage clustered area probability sampling strategy was used to select adult respondents (18 years+) in most WMH countries. Most of the surveys were based on nationally representative household (or population register) samples while Colombia, Mexico and Shenzen were based on nationally representative household samples in urbanized areas. The central WMH staff trained bilingual supervisors in each country. The WHO translation protocol was used to translate instruments and training materials. Some surveys were carried out in bilingual form while others were carried out exclusively in the country's official language. In most countries, internal subsampling was used to reduce respondent burden and average interview time by dividing the interview into two parts. All respondents completed Part 1 which included the core diagnostic assessment of most mental disorders. All Part 1 respondents who met lifetime criteria for any mental disorder and a probability sample of respondents without mental disorders were administered Part 2 (at the same interview sitting) which assessed physical conditions and collected a range of other information related to survey aims. Part 2 respondents were weighted by the inverse of their probability of selection for Part 2 of the interview to adjust for differential sampling, resulting in an unbiased sample.

Table 1.

Characteristics of WMH samples and prevalence of self-reported history of physician-diagnosed heart disease (including self-reported heart attack) among those aged 21 years and over.

Country Field Dates Age Range Weighted
proportion of
participants
45 years+ (%)
Sample Size Response Rate
(%)
History of Heart Disease
Part 1 Part 2
sub-
sample
Number
Unweighted
(N)
Weighted (%)
Americas
  Colombia 2003 18–65 28.3 4426 2381 87.7 76 2.3
  Mexico 2001–2 18–65 24.1 5782 2362 76.6 55 1.9
  United States 2002–3 18+ 47.6 9282 5692 70.9 353 6.7
  Peru 2005–6 18–65 26.6 3930 1801 90.2 41 1.8
Asia and South Pacific
  Japan 2002–6 20+ 62.0 4129 1682 55.1 102 5.0
  PRC Shen Zhen 2006–7 18+ 6.4 7132 2475 80.0 72 2.0
  New Zealand 2003–4 18+ 45.6 12790 7312 73.3 464 6.8
Europe
  Belgium 2001–2 18+ 50.4 2419 1043 50.6 97 9.0
  France 2001–2 18+ 48.9 2894 1436 45.9 67 5.8
  Germany 2002–3 18+ 52.4 3555 1323 57.8 107 8.2
  Italy 2001–2 18+ 52.7 4712 1779 71.3 95 5.3
  The Netherlands 2002–3 18+ 47.4 2372 1094 56.4 96 8.0
  Spain 2001–2 18+ 47.6 5473 2121 78.6 117 4.6
  Northern Ireland 2004–7 18+ 47.0 4340 1986 68.4 106 4.9
  Portugal 2008–9 18+ 51.4 3849 2060 57.3 142 7.1
  Romania 2005–6 18+ 49.2 2357 2357 70.9 383 14.2
  Poland 2010–11 18–64 40.7 10081 4000 50.4 234 5.4
Middle East
  Israel 2002–4 21+ 45.6 4859 4859 72.6 445 8.3
  Iraq 2006–7 18+ 27.3 4332 4332 95.2 145 4.0
Weighted average response rate (%) 78.0
Total sample size 98714 52095 3197

Analyses in this paper are based on the weighted Part 2 subsample (n= 52, 095; person years =2,141,194). The weighted (and unweighted) percentages of the Part 2 subsample with lifetime mental disorders are as follows: mood disorders 13.6% (24.7%); anxiety disorders 16.3% (25.7%); impulse control disorders 3.0% (4.9%); substance use disorders 8.2% (10.8%); any mental disorder 28.6% (44.0%). Additional weights were used to adjust for differential probabilities of selection within households, to adjust for non-response, and to match the samples to population sociodemographic distributions. Measures taken to ensure data accuracy, cross-national consistency and protection of respondents are described in detail elsewhere 8,9. All respondents provided written informed consent and procedures for protecting respondents were approved and monitored for compliance by the Institutional Review Boards in each country (see 9 for details).

Measures

Mental disorders

All surveys used the WMH survey version of the WHO Composite International Diagnostic Interview (CIDI 3.0 8), a fully structured interview, to assess lifetime history of mental disorders. Disorders were assessed using the definitions and criteria of the DSM-IV. The mental disorders included in this paper include anxiety disorders (panic disorder, agoraphobia without panic, specific phobia, social phobia, post-traumatic stress disorder, generalized anxiety disorder, obsessive compulsive disorder); mood disorders (major depressive disorder/dysthymia, bipolar broad (I, II and subthreshold)); substance use disorders (alcohol abuse and dependence, drug abuse and dependence); and impulse control disorders (intermittent explosive disorder, bulimia nervosa and binge eating disorder). Clinical reappraisal studies conducted in some of the WMH countries indicate that lifetime diagnoses of anxiety, mood and substance use disorders based on the CIDI have generally good concordance with diagnoses based on blinded clinical interviews 10.

Heart disease status

In a series of questions adapted from the U.S Health Interview Survey, respondents were asked about the lifetime presence of selected chronic conditions. Respondents were asked: “Did a doctor or other health professional ever tell you that you had any of the following illnesses….heart disease?” Respondents were also asked: “Have you ever had a heart attack”? If respondents endorsed either of these questions they were classified as having a history of heart disease. Respondents were also asked how old they were when they were first diagnosed with heart disease or first had a heart attack (for those who endorsed both, the younger of the two ages was used). This year is referred to herein as the age of onset of heart disease, although it is recognized that the underlying pathology of heart disease develops over many years. Only adult-onset heart disease (onsets age 21+) was investigated in this paper.

Statistical Analysis

Discrete-time survival analyses 11 with person-year as the unit of analysis were used to investigate sequential associations between first onset of mental disorders and the subsequent onset of heart disease. A person-year data set was created in which each year in the life of each respondent up to and including the age of onset of heart disease or their age at interview (whichever came first) was treated as a separate observational record, with the year of heart disease onset coded 1 and earlier years coded 0 on a dichotomous outcome variable. Those reporting heart disease onset before age 21 (n = 401, 11.4% of the total number reporting heart disease) were excluded from the analyses. Mental disorder predictors were coded 1 from the year after first onset of each individual mental disorder. This time lag of 1 year ensured that first onsets of a mental disorder in the same year as heart disease onset did not count as a predictor. Only person-years up to the diagnosis of heart disease were analyzed so that only mental disorder episodes occurring prior to the onset of heart disease were included in the predictor set. Logistic regression analysis was used to estimate associations with the survival coefficients presented as odds ratios, indicating the relative odds of heart disease onset in a given year for a person with a specific mental disorder compared to people without that disorder (including those without history of any mental disorder).

A series of bivariate and multivariate models were developed including the predictor mental disorder/s plus control variables. Models control for person-years, countries, gender, current age, and in the multivariate models, other mental disorders. Multivariate mental disorder type and number models were developed; other more complex non additive multivariate models were also estimated but model fit statistics did not indicate these provided a better fit for the data, so the simpler models are reported here (model fitting statistics available on request).

Our general approach was to not control for covariates that could be on the causal pathway between mental disorders and subsequent heart disease. However, we recognize that these variables may also confound associations so we re-estimated the multivariate model with adjustment for history of smoking (current/ever/never) and number of years of education. This made virtually no difference to associations (all previously significant associations remained significant and none reduced in magnitude – data available on request) so we report the results from the models unadjusted for smoking and education in this paper.

We examined whether early versus later onset mental disorders differed significantly in their associations with heart disease but no significant effects were found once mental disorder comorbidity was taken into account (results available on request). We also examined whether associations varied by age at heart disease onset by including interaction terms between person-years (coded as a continuous variable) and each type of mental disorder in the multivariate type model. Gender differences were examined by including interaction terms between gender and each mental disorder in the multivariate type model.

We investigated whether findings differed across countries by assessing whether there were interactions between any of the mental disorders and country income group (high versus low-middle income level). Two disorders (bulimia and drug dependence) could not be included in this analysis because there were no cases of these disorders comorbid with heart disease in low-middle income countries. Of the remaining 14 mental disorders, two showed significant interactions: alcohol abuse, with an interaction OR of 0.6 (0.3–1.0) indicating a stronger association between this disorder and heart disease in high income countries relative to low-middle income countries. The other significant interaction was with drug abuse which showed an interaction OR of 4.6 (1.6–13.6) suggesting a stronger association in lower-middle income countries. However, the small number of drug abuse-heart disease comorbid cases in low-middle income countries (resulting in wide confidence intervals for the OR) makes this finding potentially unreliable. Because there was so little indication of significant variation in associations between mental disorders and subsequent heart disease across country income groupings, further analysis were conducted on the pooled all-country dataset, with controls for country variation included in the models. In this context it is worth noting that our earlier studies of concurrent mental disorder-heart disease comorbidity in the WMH surveys also found that these associations were quite consistent cross-nationally 12, despite varying prevalence of mental disorders and heart disease.

As the WMH data are both clustered and weighted, the design-based Taylor series linearization 13 implemented in version 10 of the SUDAAN software system was used to estimate standard errors and evaluate the statistical significance of coefficients.

RESULTS

Sample characteristics

The survey characteristics are shown in Table 1 together with information about the number of respondents reporting a history of adult onset heart disease (n=3197). Heart disease prevalence varies widely across countries, but as noted in the preceding paragraph our earlier work has found associations between mental disorders and heart disease to be much more stable across countries.

Number of years between first onset of mental disorder and heart disease onset

Table 2 shows that the median period of time between reported year of first onset of mental disorders and subsequent heart disease onset (the data in the 50th percentile column) ranged between 11.2 years for drug dependence and 37.5 years for specific phobia.

Table 2.

Number of years elapsing between reported year of first onset of DSM-IV mental disorders and reported year of subsequent heart disease onset*.

Type of Mental Disorders Distribution of number of years between mental disorder first onset and
heart disease onset
25th percentile 50th percentile 75th percentile
I. Mood disorders
  Major Depressive Episode/ Dysthymia 8.2 17.8 29.7
  Bipolar Disorder (Broad) 13.2 18.5 24.9
II. Anxiety disorders
  Panic Disorder 8.2 16.9 34.6
  Generalized Anxiety Disorder 6.7 17.2 29.7
  Social Phobia 22.5 33.6 42.2
  Specific Phobia 27.3 37.5 48.0
  Agoraphobia without Panic 18.6 36.2 45.0
  Post-Traumatic Stress Disorder 7.7 21.1 35.9
  Obsessive Compulsive Disorder 10.3 22.5 31.6
III. Impulse-control disorders
  Intermittent Explosive Disorder 14.6 23.3 36.8
  Binge Eating Disorder 3.7 22.7 31.2
  Bulimia Nervosa 14.1 15.8 22.9
IV. Substance disorders
  Alcohol Abuse 10.5 19.3 27.5
  Alcohol Dependence with Abuse 9.5 18.3 27.2
  Drug Abuse 8.5 17.5 23.0
  Drug Dependence with Abuse 7.6 11.2 18.8
*

Cases are restricted to those whose heart disease onset occurred at the age of 21 years and above

Type and number of mental disorders as predictors of heart disease onset

In the bivariate results presented in Table 3 all but two types of mental disorder were associated with heart disease onset with odds ratios (ORs) ranging between 1.4 and 2.5. After taking lifetime comorbidity (up until the age of onset of heart disease) into account, the mental disorders that remained significant in multivariate type model were depression/dysthymia, panic disorder, specific phobia, PTSD and alcohol abuse and dependence, with ORs from 1.3 to 1.6. The global chi square test for the joint effect of all mental disorders was significant (χ162 = 209.6, p <=0.05), and the test for variation in ORs indicates that the associations differ significantly in magnitude (χ152= 29.2, p <=0.05).

Table 3.

Bivariate and multivariate associations (odds ratios) between DSM-IV mental disorders and the subsequent onset of heart disease.

Bivariate Models Multivariate Type
Model
Multivariate Number
Model§

OR (95% C.I.) OR (95% C.I.) OR (95% C.I.)
I. Mood disorders
  Major Depressive Episode/ Dysthymia 1.5* (1.3–1.7) 1.3* (1.1–1.4) - -
  Bipolar Disorder (Broad) 1.6* (1.1–2.4) 1.0 (0.6–1.5) - -
II. Anxiety disorders
  Panic Disorder 2.1* (1.6–2.8) 1.5* (1.1–1.9) - -
  Generalized Anxiety Disorder 1.4* (1.1–1.7) 0.9 (0.8–1.2) - -
  Social Phobia 1.5* (1.3–1.9) 1.1 (0.9–1.4) - -
  Specific Phobia 1.9* (1.6–2.2) 1.6* (1.3–1.9) - -
  Agoraphobia without Panic 1.3 (0.9–2.1) 0.9 (0.6–1.5) - -
  Post-Traumatic Stress Disorder 2.0* (1.5–2.5) 1.5* (1.1–2.0) - -
  Obsessive Compulsive Disorder 1.7* (1.1–2.7) 1.3 (0.8–2.1) - -
III. Impulse-control disorders
  Intermittent Explosive Disorder 1.7* (1.1–2.5) 1.2 (0.8–1.8) - -
  Binge Eating Disorder 1.7 (1.0–3.0) 1.2 (0.6–2.2) - -
  Bulimia Nervosa 2.1* (1.0–4.3) 1.1 (0.5–2.5) - -
IV. Substance disorders
  Alcohol Abuse 1.8* (1.5–2.1) 1.4* (1.1–1.7) - -
  Alcohol Dependence with Abuse 2.5* (2.0–3.3) 1.5* (1.1–2.1) - -
  Drug Abuse 2.1* (1.5–3.0) 1.3 (0.9–2.0) - -
  Drug Dependence with Abuse 2.0* (1.3–3.1) 0.7 (0.4–1.2) - -
Joint effect of all types of disorders, χ216 209.6*
Difference between types of disorders, χ215 29.2*
V. Number of disorders
  Exactly 1 disorder - - - - 1.5* (1.3–1.7)
  Exactly 2 disorders - - - - 1.8* (1.5–2.1)
  Exactly 3 disorders - - - - 2.3* (1.7–2.9)
  Exactly 4 disorders - - - - 2.4* (1.8–3.3)
  5+ disorders - - - - 3.0* (2.1–4.1)
Joint effect of number of disorders, χ25 131.8*
*

Significant at the 0.05 level, two-tailed test.

Bivariate models: each mental disorder type was estimated as a predictor of the physical condition onset in a separate discrete time survival model controlling for age cohorts, gender, person-year and country.

Multivariate Type model: the model was estimated with dummy variables for all mental disorders entered simultaneously, including the controls specified above.

§

Multivariate Number model: the model was estimated with dummy predictors for number of mental disorders without any information about type of mental disorders, including the controls specified above.

The results from a multivariate model that considered number of mental disorders are presented in the final column in Table 3. A dose-response relationship is evident between the number of mental disorders experienced and heart disease onset, with ORs ranging from 1.5 for one mental disorder to 3.0 for 5+ mental disorders.

Variation by age of heart disease onset

The interaction tests between the majority (12/16) of mental disorders and person year were not significant, indicating that for these disorders variation in the timing of heart disease onset makes little difference to the strength of associations. For depression, bipolar disorder, GAD and alcohol abuse, however, there was a significant negative interaction with person year, shown in the first 3 data columns in Table 4. The results from the stratified models shown in the remainder of the table indicate that associations between these mental disorders and heart disease were stronger when the heart disease occurred earlier in life rather than later in life.

Table 4.

Variations in associations between mental disorders and heart disease by timing of heart disease onset.

Type of Mental Disorders Mental disorder*Person-year
interaction
Stratified Models
Up to Age 46 Age 47–55 Age 56–66 Age 67+

OR
(95% C.I.)
χ21 [p] OR
(95% C.I.)
OR
(95% C.I.)
OR
(95% C.I.)
OR
(95% C.I.)
Major Depressive Episode/
Dysthymia
0.99*
(0.98–
0.99)
14.3* [0.000] 1.3*
(1.0–1.7)
1.3*
(1.0–1.8)
1.1
(0.8–1.4)
1.1
(0.8–1.5)
Bipolar Disorder (Broad) 0.98*
(0.96–
1.00)
4.8* [0.029] 1.3
(0.8–2.1)
0.6
(0.3–1.3)
0.7
(0.2–1.9)
0.4
(0.1–1.6)
Generalized Anxiety
Disorder
0.98*
(0.97–
1.00)
7.1* [0.008] 1.0
(0.7–1.3)
1.1
(0.7–1.6)
0.9
(0.6–1.3)
0.7
(0.4–1.1)
Alcohol Abuse 0.98*
(0.97–
1.00)
6.0* [0.014] 1.9*
(1.3–2.7)
1.2
(0.8–1.7)
0.9
(0.6–1.4)
0.5
(0.2–1.2)
*

OR significant at the 0.05 level, 2-sided test

A series of multivariate models were estimated. For example, the model for depression included the dummy variables for all mental disorders plus the cross-product term for depression and person-year, plus the controls specified for earlier models.

The multivariate model was estimated in the four person-year datasets corresponding to quartiles of the heart disease onset distribution. The fourth quartile (67 years +) did not include data from Colombia, Mexico, Peru and Poland as the upper age limit on participants in these countries was 65.

Gender differences

There were no significant interactions of gender with any of the mental disorders in associations with heart disease onset (results not shown, available on request), indicating that associations were similar for men and women.

DISCUSSION

These results should be considered within the context of the study limitations. The retrospective assessment of mental disorders is likely to have resulted in under-reporting of mental disorders 14 and inaccuracies in the age of onset timing 15, although the version of the CIDI used in the World Mental Health Surveys has been modified to improve accuracy in mental disorder onset reporting 9. The other major limitation is the self-report of heart disease. This is problematic for two reasons. First, because we do not know what proportion of those who reported heart disease in this study have coronary heart disease, the focus of the prior research in this area. Second, because methodological research on the validity of self-reported heart disease indicates that there can be quite substantial underreporting 1618. It is important to note, however, that these same studies indicate that over-reporting of heart disease or heart attack is not common, and consistent with this other research has shown that while depression may bias the self-report of physical symptoms, it has not been found to bias the self-report of diagnosed physical conditions 19,20. What this methodological research suggests is that although misclassification of individuals with regard to the outcome in this study (heart disease) will undoubtedly have occurred, it is not likely to be related to the mental disorder predictors (and vice versa). This effect of this kind of ‘non-differential’ misclassification is usually to weaken associations, making the results we report here likely to be conservative. A further factor contributing to the probable conservative bias in these findings is that this study was conducted among heart disease (and depression) survivors. If these associations reflect causal mechanisms, then it may be that some of those most affected by an association between mental disorder and heart disease are not in the sample due to premature mortality. It is also possible that the relative strength of associations could be affected by this kind of survival bias.

Although these limitations are considerable, this study also has some significant strengths. Using a large general population sample it is the first study to be able to examine associations between a wide range of DSM-IV disorders with heart disease onset, and to thereby adjust for mental disorder comorbidity. It is noteworthy that both anxiety disorders and depression remained significant in comorbidity adjusted models, and that the associations with anxiety were greater in magnitude than those with depression. The possibility that anxiety might have stronger associations with heart disease than depression has been suggested previously 6,21, but this is the first study to examine this within a general population sample using diagnostic measures of depression and anxiety disorders. The association between panic disorder and heart disease found in this study is consistent with one earlier study using a diagnostic measure of panic disorder 22, suggesting that panic disorder may have a specific link with increased risk of heart disease. The significant association we found between specific phobia and heart disease is consistent with earlier population studies using symptom-scale measures of phobic anxiety 5,6. Our finding that PTSD was associated with increased risk of heart disease onset extends the observations of this link found previously in war veteran samples 2325, and in one general population sample of women 26, to general population samples of both sexes experiencing a wide range of triggering traumas. We did not find an association between GAD and heart disease, although such an association has been suggested in prior research27 and GAD has been associated with heart disease prognosis independently of depression28,29. This discrepancy may be explained by the fact that these prior studies have not controlled for history of other mental disorders. In the World Mental Health Surveys GAD has a later onset than most other disorders9 so it may be that the prior significant findings for GAD are due to the cumulative effects of prior mental disorder comorbidity.

Our results linking alcohol use disorders and heart disease are as would be expected given the extensive prior literature on heavy alcohol consumption and cardiovascular outcomes, but this is the first study to examine these associations after adjustment for a full range of comorbid mental disorders. It is notable that there was no association between intermittent explosive disorder and heart disease onset after comorbidity adjustment. This finding may have a bearing on interpretation of the research finding associations between anger or hostility and heart disease 30, where mental disorders are not typically taken into account.

We found that mood disorders and alcohol abuse were more strongly associated with earlier onset heart disease and we saw the same pattern with bipolar disorder. This might suggest that the effects of mood disorders in particular, if they are causally related to heart disease, are subtle compared to the effects of aging. Although this finding awaits confirmation in a prospective design, it is consistent with a large general practice database study that found that the strength of association between a history of serious mental illness and coronary heart disease mortality decreased with increasing age 31.

The finding that both anxiety and mood disorders were related to subsequent heart disease after mutual adjustment suggests that they have additive effects. This is important given the common comorbidity of these conditions both in psychiatric samples (e,g,. 54% of people with lifetime PTSD also have lifetime diagnoses of depression in this sample), and among people with heart disease32. Moreover, anxiety-depression comorbidity among those with heart disease has been associated with higher mortality relative to non-comorbid anxiety or depressive disorder 32. It may therefore be important for future research to pay particular attention to potential causal mechanisms that mood and anxiety disorders have in common, rather than focusing on mechanisms that may be specific to depression (or to a particular anxiety disorder). Such mechanisms include certain pathophysiological features (sympathoadrenal hyper-reactivity, reduced heart-rate variability, heighted platelet activity and endothelial dysfunction) 5,33,34, as well as lifestyle factors and use of anti-depressant medications 3537.

It also remains possible that non-causal (ie, common or confounding) factors may explain the associations we observed between mental disorders and heart disease (e.g., diet 38, genetics 39, fetal exposures 40,41, or personality 42). A further non-causal connection would be the possibility that treatment seeking for mental disorder earlier in life could result in earlier detection of heart disease.

Conclusions

In conclusion, this study offers new insights into the range of mental disorders associated with heart disease; the relative magnitude of associations; the increased risk associated with an increasing number of mental disorders experienced over the lifetime; the effect of age of heart disease onset and the similarity of associations across men and women. Future mechanistic research may need to take the breadth of psychopathology’s association with heart disease into account and consider the implications of mental disorder comorbidity. It remains to be established whether these associations are causal, and the specific associations we report here require further confirmation in prospective studies. Notwithstanding these caveats, the associations observed in this global study of mood, anxiety and substance use disorders with increased risk of heart disease, associations that span over decades, are suggestive of a mental health-heart connection of substantial clinical and public health significance.

Acknowledgments

Acknowledgements and Funding

The World Health Organization World Mental Health (WMH) Survey Initiative is supported by the National Institute of Mental Health (NIMH; R01 MH070884), the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, the US Public Health Service (R13-MH066849, R01-MH069864, and R01 DA016558), the Fogarty International Center (FIRCA R03-TW006481), the Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil Pharmaceutical, GlaxoSmithKline, and Bristol-Myers Squibb. We thank the staff of the WMH Data Collection and Data Analysis Coordination Centres for assistance with instrumentation, fieldwork, and consultation on data analysis. The Colombian National Study of Mental Health (NSMH) was supported by the Ministry of Social Protection, with supplemental support from the Saldarriaga Concha Foundation. The European surveys were funded by the European Commission (Contracts QLG5-1999-01042; SANCO 2004123; EAHC 20081308), the Piedmont Region (Italy), Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spain (FIS 00/0028), Ministerio de Ciencia y Tecnología, Spain (SAF 2000-158-CE), Departament de Salut, Generalitat de Catalunya, Spain, Instituto de Salud Carlos III (CIBER CB06/02/0046, RETICS RD06/0011 REM-TAP), and other local agencies and by an unrestricted educational grant from GlaxoSmithKline. The World Mental Health Japan (WMHJ) Survey was supported by the Grant for Research on Psychiatric and Neurological Diseases and Mental Health (H13-SHOGAI-023, H14-TOKUBETSU-026, H16-KOKORO-013) from the Japan Ministry of Health, Labour and Welfare. The Mexican National Comorbidity Survey (MNCS) was supported by The National Institute of Psychiatry Ramon de la Fuente (INPRFMDIES 4280) and by the National Council on Science and Technology (CONACyT-G30544- H), with supplemental support from the PanAmerican Health Organization (PAHO). The Peruvian World Mental Health Study was funded by the National Institute of Health of the Ministry of Health of Peru. The Polish project Epidemiology of Mental Health and Access to Care –EZOP Poland was carried out by the Institute of Psychiatry and Neurology in Warsaw in consortium with Department of Psychiatry - Medical University in Wroclaw and National Institute of Public Health-National Institute of Hygiene in Warsaw and in partnership with Psykiatrist Institut Vinderen – Universitet, Oslo. The project was funded by the Norwegian Financial Mechanism and the European Economic Area Mechanism as well as Polish Ministry of Health. No support from pharmaceutical industry neither other commercial sources was received. The Shenzhen Mental Health Survey is supported by the Shenzhen Bureau of Health and the Shenzhen Bureau of Science, Technology, and Information. Implementation of the Iraq Mental Health Survey (IMHS) and data entry were carried out by the staff of the Iraqi MOH and MOP with direct support from the Iraqi IMHS team with funding from both the Japanese and European Funds through United Nations Development Group Iraq Trust Fund (UNDG ITF). The Israel National Health Survey is funded by the Ministry of Health with support from the Israel National Institute for Health Policy and Health Services Research and the National Insurance Institute of Israel. Te Rau Hinengaro: The New Zealand Mental Health Survey (NZMHS) was supported by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with collaboration of the Portuguese Catholic University, and was funded by Champalimaud Foundation, Gulbenkian Foundation, Foundation for Science and Technology (FCT) and Ministry of Health. The Romania WMH study projects “Policies in Mental Health Area” and “National Study regarding Mental Health and Services Use” were carried out by National School of Public Health & Health Services Management (former National Institute for Research & Development in Health, present National School of Public Health Management & Professional Development, Bucharest), with technical support of Metro Media Transilvania, the National Institute of Statistics – National Centre for Training in Statistics, SC. Cheyenne Services SRL, Statistics Netherlands and were funded by Ministry of Public Health (former Ministry of Health) with supplemental support of Eli Lilly Romania SRL. The US National Comorbidity Survey Replication (NCS-R) is supported by the National Institute of Mental Health (NIMH; U01-MH60220) with supplemental support from the National Institute of Drug Abuse (NIDA), the Substance Abuse and Mental Health Services Administration (SAMHSA), the Robert Wood Johnson Foundation (RWJF; Grant 044708), and the John W. Alden Trust. A complete list of all within-country and cross-national WMH publications can be found at http://www.hcp.med.harvard.edu/wmh/.

Additional Funding: Work on this paper was funded by a grant from the Health Research Council of New Zealand to Kate M Scott.

Role of the Sponsors: The sponsors had no input into the design and conduct of the study; collection, management, analysis and interpretation of the data; or preparation, review or approval of the manuscript.

Footnotes

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Other author contributions: All authors take responsibility for the integrity of data collection in their own countries and all authors approved the final version of the manuscript prior to submission.

Financial Disclosures: Dr Stein has received research grants and/or consultancy honoraria and/or served on speaker bureaus for Biocodex, Eli-Lilly, GlaxoSmithKline, Lundbeck, Pfizer, Servier, Solvay, and Wyeth. Dr Lépine has served on speaker bureaus for Servier, Pfizer-Wyeth, Sanofi and Pierre Fabre. Dr Kessler has been a consultant for Analysis Group, GlaxoSmithKline Inc., Kaiser Permanente, Merck & Co, Inc., Ortho-McNeil Janssen Scientific Affairs, Pfizer Inc., Sanofi-Aventis Groupe, Shire US Inc., SRA International, Inc., Takeda Global Research & Development, Transcept Pharmaceuticals Inc., Wellness and Prevention, Inc., and Wyeth-Ayerst; has served on advisory boards for Eli Lilly & Company, Mindsite, and Wyeth-Ayerst; and has had research support for his epidemiological studies from Analysis Group Inc., Bristol-Myers Squibb, Eli Lilly & Company, EPI-Q, Ortho-McNeil Janssen Scientific Affairs., Pfizer Inc., Sanofi-Aventis Groupe, and Shire US, Inc. He owns stock in Datastat, Inc.

All other authors have no conflicts of interest to declare.

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