- Open Access
Depression as a predictor of work resumption following myocardial infarction (MI): a review of recent research evidence
Health and Quality of Life Outcomesvolume 8, Article number: 95 (2010)
Depression often coexists with myocardial infarction (MI) and has been found to impede recovery through reduced functioning in key areas of life such as work. In an era of improved survival rates and extended working lives, we review whether depression remains a predictor of poorer work outcomes following MI by systematically reviewing literature from the past 15 years.
Articles were identified using medical, health, occupational and social science databases, including PubMed, OVID, Medline, Proquest, CINAHL plus, CCOHS, SCOPUS, Web of Knowledge, and the following pre-determined criteria were applied: (i) collection of depression measures (as distinct from 'psychological distress') and work status at baseline, (ii) examination and statistical analysis of predictors of work outcomes, (iii) inclusion of cohorts with patients exhibiting symptoms consistent with Acute Coronary Syndrome (ACS), (iv) follow-up of work-specific and depression specific outcomes at minimum 6 months, (v) published in English over the past 15 years. Results from included articles were then evaluated for quality and analysed by comparing effect size.
Of the 12 articles meeting criteria, depression significantly predicted reduced likelihood of return to work (RTW) in the majority of studies (n = 7). Further, there was a trend suggesting that increased depression severity was associated with poorer RTW outcomes 6 to 12 months after a cardiac event. Other common significant predictors of RTW were age and patient perceptions of their illness and work performance.
Depression is a predictor of work resumption post-MI. As work is a major component of Quality of Life (QOL), this finding has clinical, social, public health and economic implications in the modern era. Targeted depression interventions could facilitate RTW post-MI.
Relationship between myocardial infarction, depression and work
Depression is a common and debilitating condition which is often experienced after a heart attack [myocardial infarction (MI)]. It is estimated that approximately 15% of individuals will suffer major depression post-MI, with another 15-20% exhibiting mild to moderate symptoms . Although depression may be transitory, there is evidence to suggest it can precede a cardiac event. For example, more than half of MI patients experience feelings of fatigue and general malaise in the months before infarction . Despite its prevalence, depression often remains unrecognised and undiagnosed in this population. This may be due to issues such as brief hospitalisation periods (the average length of stay for MI is now 3-5 days ) and the fact that symptoms of depression and MI can overlap. Left untreated, co-morbid depression has a significant impact on recovery and functioning and is associated with increased morbidity and mortality, poorer clinical, behavioural and psychological outcomes, and reduced overall quality of life (QOL) .
Work is a major constituent of QOL. It plays an important role in the recovery and adjustment of patients post-MI, through its related constructs such as satisfaction, social value and productivity. With evidence to suggest survival rates are increasing, indeed many patients will resume work after experiencing a cardiac event; it is currently estimated that 80% of MI patients will return to work (RTW) post infarct within a 12 month period . However, patients with cardiac depression are slower and less likely to RTW  than those without. For patients who have not resumed work by 12 weeks, the likelihood of doing so decreases by half . Depression symptoms- both cognitive and somatic- can inhibit desire to resume employment, resulting in longer absences from the workplace. In patients who RTW, the benefits remain well documented; increased positive affect and fewer cognitive complaints . However, those experiencing co-morbid depression are more likely to report poorer vocational functioning, social problems, increased absenteeism, presenteeism or early retirement. Despite this evidence, research investigating depression as a prognostic indicator of RTW post MI has produced inconsistent results in recent years .
Existing evidence for depression as a predictor of RTW after MI
During the 1970 s and 80 s, RTW was considered a key indicator of the effectiveness of cardiac rehabilitation and patient recovery. Age, education, socio-economic status, severity of MI, and physical functioning were all implicated as strong moderators of RTW after a cardiac event. The latter was often used as a means by which to measure one's capacity and readiness to RTW (e.g. Dennis, 1988 ). However, during this time, the prognostic role of depression and psychosocial factors became of interest. Two key studies of this time [Hlatky et al (1986) and MÆland et al (1987)] found that depression recorded in hospitalised cardiac patients predicted poorer RTW outcomes, increased work disability and greater loss of employment [11, 12]. Patients with co-morbid depression were also found to experience greater difficulties in occupational adjustment and deficits in other outcomes. MÆland et al (1987) further observed a linear relationship between RTW and levels of depression, concluding that increased depression severity was linked to poorer rates of RTW in MI patients .
More recently, although evidence has emerged that depression is a predictor of employment status up to a year after admission for patients with other cardiovascular (CVD) conditions, such as stroke , in MI populations it "cannot be assumed that factors identified over 25 years ago as predictors of return to work will be relevant in the modern era". There are several reasons for this. Longitudinal trends have indicated that survival rates after MI are increasing [15, 16]. For example, data from the Atherosclerosis Risk in Communities (ARIC) study [1987 to 1994] indicated a decline in MI severity in the US . This trend was further demonstrated for the period 1994-2002 . Second, advances in procedures for diagnosis and treatment, i.e. imaging stress tests, Percutaneous Coronary Intervention (PCI) and stents, overall rates of revascularization (substantially increasing since 1993 ), and increased medication prescription [aspirin, Angiotensin-converting enzyme (ACE) inhibitors]  have led to changes in the management of cardiac patients. Third, trials investigating the role of depression post MI  have more likely been expressed using clinical and psychological markers over employment outcomes. Fourth, increased awareness about the prevalence of depression in this population has led to further research in this area in recent years. In light of the contemporary management of cardiac patients, and the subsequent implications on rates of discharge and RTW, recent studies need to be drawn on to determine if depression remains a predictor of work outcomes post MI.
The identification of depression as a predictor of work outcomes in MI patients is important. From a clinical perspective, facilitating RTW after MI may significantly reduce emotional distress . From a societal perspective, shifts in social trends including increased life expectancy and financial instability, translating to longer working lives, require that barriers to workforce participation be identified. From a public health perspective, the increasing burden of coronary heart disease on western society, its augmented risk with age, and increased survival rates (e.g. up to 20 million people survive a heart attack globally each year ), highlight a need to implicate factors which facilitate workforce participation. From an economic perspective, depression as a sole condition accounts for 13.8 million work days lost in the UK  and 225 million days lost in the US, annually . When co-existing with a chronic disease, depression can have even greater economic implications on the workforce.
The aim of our study was to determine whether depression remains a predictor of poorer work outcomes following MI by conducting a review of studies conducted in the past 15 years.
The literature search aimed to identify articles which assessed work resumption as an outcome measure and depression as a primary prognostic variable in cardiac patients. Studies were identified using databases for medical, health, occupational and social sciences, with the intention to cover concepts identified by the authors in Table 1. Databases included PubMed, OVID, Medline, Proquest, CINAHL plus, CCOHS, SCOPUS, Web of Knowledge. Reference lists of relevant studies and reviews (identified using databases such as EBM Reviews, Cochrane DSR, ACP Journal Club, DARE, CCTR, CMR, HTA, and NHSEED) were also examined. Grey literature and web pages were examined using search engines such as Google Scholar. Previous recommendations for effective strategies in identifying prognostic studies  were also employed.
Selection of studies
Articles were identified using this search strategy and reviewed for relevance by the first author and an independent reviewer (CR) between March and July, 2009. Abstracts were obtained for articles which potentially included: (i) application of depression measures (as distinct from 'psychological distress') and work status at baseline, (ii) examination and statistical analysis of predictors of work outcomes, (iii) cohorts with patients exhibiting symptoms consistent with ACS, (iv) follow up of work-specific and depression specific outcomes at minimum 6 months, (v) those published in English over the past 15 years. Full text articles were obtained for those appearing to meet criteria, where the following information was extracted from each: author, population, design, depression measure, definition of RTW, major findings, effect of depression as a predictor on RTW, other significant predictors of RTW post MI. Data were analysed through synthesis and quality assessment of this information, as the inconsistencies between study definitions of RTW and variety of instruments used to assess depression precluded formal meta-analysis. Using a framework for assessing internal validity used in other prognostic reviews , these articles were subject to application of a quality criteria (Additional file 1). Articles were systematically scored in reference to quality, to determine level of evidence. A score of 12 or more was considered high quality, 10-11 was considered moderate quality and nine or less was deemed low quality. The quality of articles was considered not as exclusion criteria but in the analysis of results.
Initial searches were conducted independently by AO and CR, yielding 1231 results; 309 of these articles were considered for inclusion from an initial review, and their abstracts obtained. After screening using the inclusion criteria, the full text of 31 articles were obtained and details of those appearing to meet criteria were recorded in extraction tables. The first author and reviewer convened to compare the results of their respective searches. After excluding 19 of the 31 studies initially considered to meet criteria, 12 articles were finally agreed upon by the two assessors for inclusion (initial assessor consensus was 93%; where consensus was not reached, the second author was consulted). Reasons for exclusion were: duplicate articles of the same study (n = 8), follow up period not long enough (n = 2), did not record depression using appropriate assessment techniques (n = 2), and did not analyse/present data on predictors of work outcomes (n = 7). Figure 1 displays the results of the search strategy, in alignment with PRISMA guidelines. Papers included in the review were those published in English between 1994 and July 2009. Each article for final inclusion in the review was subject to assessment using a quality assessment inventory (Additional file 1). Quality assessment ratings are displayed in Table 2, where each article was graded using these criteria. Seven of the 12 articles were considered high quality, four moderate quality and one low quality. Collectively, the most common features of the articles were: well defined inclusion criteria, measurement selection and baseline data collection point, and use of multivariate techniques for data analysis. The least common feature of the articles was the reporting of a representative sample (four articles reported recruiting samples with males only). While measurements used for data collection were clearly documented, in most instances a justification for selection was not given.
Population and design
Articles included a collective total of 2795 participants who were employed at the time of their cardiac event, of working age (18+ [retirement age differed between countries]), recruited from an acute hospital setting with one of the following diagnoses: MI, ACS or CAD (including those undergoing cardiac interventions: Coronary Artery Bypass Graft (CABG), Percutaneous Transluminal Coronary Angioplasty (PTCA)). Data were derived from prospective cohort or longitudinal studies using prognostic variables, with the exception of one randomised controlled trial of a cardiac rehabilitation intervention . Timing of classification of participant baseline depression ranged from hospital admission, upon stabilising of condition, immediately prior to discharge, pre surgical intervention, beginning of rehabilitation program, three days post discharge, 7-10 days post discharge, 17-21 days post discharge and two months post discharge. It was not possible to determine the average length of time since infarct as a result of this variation. Follow up assessment points used in the studies ranged from six months, eight months and 12 to 13 months.
Studies recorded depression outcomes using validated instruments. The most commonly used instrument was the Beck Depression Inventory [5, 14, 27, 28], followed by the Hospital Anxiety and Depression Scale (HADS) [9, 29, 30], Cornell Medical Index , Subscale of Minnesota Multiphasic Personality Inventory (MMPI) , Center for Epidemiologic Studies Depression Scale German version (CES-D-ADS)  and a validated 12 item depression measure . One study used both HADS and BDI Fast Scale (BDI-FS)  to assess depression, but after independent analysis of the measures, reported that HADS was superior to the BDI-FS in predicting RTW (p = 0.026), the results of the former instrument were included in the review.
Definition of Work
RTW data were collected via self report (participant interview or questionnaire) in all studies to determine work status post MI. One study also used work data from a Social Insurance Institution Registry  to validate participant self report. Although the data collection method was consistent between studies, there was wide variation regarding the definition of RTW and the subsequent questions asked to participants (Table 3). Broadly, work resumption was defined as either a reported date of RTW or a positive response to the question: "Have you returned to work?". Only two studies considered RTW to be defined by a tangible time frame (i.e. "hours per week", returned at 100% of hours pre infarct). In the absence of these data, it was not possible to calculate mean time between cardiac episode and RTW. In a further attempt to ascertain work status, over half of studies (n = 7) collected information on work hours (full or part time) and almost one quarter provided estimates of current and pre-infarction activity. Additional information collected included: intent to RTW, disability, profession, early retirement, sick leave, job strain and organizational characteristics. One study did not provide a sufficient definition of RTW in its methodology but expressed findings as proportions of participants "seeking" and "returning" to work at follow up .
Impact of Depression on RTW
Depression was a significant predictor of failure or delay in RTW at 6-12 months in 7 of the 12 studies. These studies are outlined in Table 4 along with a summary of effect sizes, p values and confidence intervals regarding the likelihood of depressed patients returning to work after MI. Findings are expressed as estimated relative risk and adjusted odds ratios are presented. Potentially confounding variables controlled for in each regression model are detailed (commonly demographic, clinical and other variables previously found to influence RTW rates in these populations or those found to be significant as a result of univariate analysis).
Of the studies to find depression a significant predictor of RTW, Fukuoka et al (2009)  and Bhattacharyya et al (2007)  found that depression not only significantly predicts work resumption but that a dose response relationship exists between severity of depression and likelihood of RTW, six to twelve months after a cardiac event. In regards to the impact of past history of depression on RTW, these were the only two studies to record depression which occurred pre-infarct. These studies reported disparate results. Fukuoka et al (2009)  found a significant difference in those with depressive history who RTW, when compared with those without (p < 0.05), while Bhattacharyya et al (2007)  found that depression experienced six month pre-infarct was not related to RTW at 12 months.
In these seven studies, other significant predictors of work resumption included demographic factors (age, education), organizational factors (job strain, decision latitude, social network at work, profession), clinical factors (recurrent cardiac events, arrhythmia), and individual factors (personality type, expectations, health concerns). Besides depression, age was the only variable to feature as a significant predictor in more than one study (n = 4).
Of the studies which failed to find depression a significant predictor of RTW, somatic health (OR 1.08 (CI 1.02-1.14; p = 0.011) and footsteps per day (OR 1.18 (CI 1.01-1.38; p = 0.033)  were significant predictors at six months. At 12 months, age (OR 1.22 (CI 1.10-1.34), self assessed work capacity at six months (OR 8.5 (CI 2.3-32.0; p = 0.003), physician's perception of disability (OR 1.61 (CI 1.16-2.07) , functional class (OR 6.7 (CI 1.8-24.5), and absence from work ≤ 3months (OR 4.9 (CI 1.2-20.2)  were all predictors of RTW. The only common predictor was patient perceptions; of health (self perceived disability; OR 3.02 (CI 2.48-3.57))  and work (OR 6.4 (CI 1.6-26) . However, many of these associations yielded wide confidence intervals.
Mayou (2000) found no significant differences in RTW of participants according to HADS score at 12 months , therefore a regression analysis was not reported for depression and RTW. Of the studies which found depression to be an independent predictor of RTW, five were considered high quality, compared with two of the studies which failed to find an effect.
The aim of the paper was to review whether depression remains a predictor of poorer work outcomes following MI, by reviewing the literature from the past 15 years. Our findings suggest that depression recorded between admission and up to two months post discharge can significantly predict poorer RTW outcomes 6 to 12 months after a cardiac event. There is also some evidence to suggest that increases in severity of depression can reduce likelihood of RTW. Age and patient perceptions of their illness or work performance were also shown to significantly predict RTW in these populations.
Our first finding is consistent with earlier studies conducted in the 1980 s [11, 12], which found depression to be a strong determinant of work outcomes. Hlatky et al (1986) found depression to predict work disability outcomes (χ2 = 20, p < 0.00001), and loss of employment in the year following CAD (p = 0.006). More specifically, MÆland and others (1987) found that RTW rates were strongly related to level of depression reported by MI patients at hospitalization (χ2 = 20.74, p < 0.05, G = -0.49) and 6 week follow-up (χ2 = 11.30 p < 0.05), and that this relationship was linear. Although this result appears in alignment with our second finding, it should be noted that a combined depression and anxiety measure was used in the MÆland study. The confounding effects of measuring these conditions using a composite instrument need to be considered.
Interestingly, both studies also found that alongside depression, patient perception was an important determinant of work status after a cardiac event. This was a finding observed in the current review, and elsewhere (Petrie et al, 1996). This raises questions about the role of cognition as a mediating factor in the relationship between depression and work.
Overall, commonalities between past and present studies may suggest that while the management of cardiac patients has changed in recent years, the factors influencing recovery and RTW identified over 15 years ago remain relevant. Determining the extent to which depression can predict major QOL outcomes post MI is important due to its clinical applications to rehabilitation. Modern rehabilitation programs should not only ascertain participant intent to resume work, but assess and treat depression in order to facilitate recovery. In depressed populations, patients receiving depression treatment such as anti-depressants or psychotherapy are significantly more likely to maintain paid employment over a 12-month period than those who do not . Workplace initiatives targeting depression could potentially improve retention rates for employees exhibiting depression after returning to work post MI. These findings are of further value as it has been argued that identifying depression as a predictor of RTW could "give insight into mechanisms underlying an association between depression and cardiac mortality and morbidity" .
The review methods that we report on have two significant shortcomings. First, several articles in the review included samples comprising participants either recruited from cardiac rehabilitation or who had received a surgical intervention, post infarct. While it is acknowledged that this reflects modern management of cardiac patients, this may have confounded the representativeness of these samples. Those experiencing co-morbid depression are often less likely to attend rehabilitation programs, and report higher withdrawal rates . As a result, depression may have been underrepresented in these samples. The inclusion of samples using participants who underwent surgical procedures may also have confounded results. These patients may experience added complications in the post operative period which prevent work resumption, or conversely, these procedures may promote better work outcomes, a finding which has been reported previously . A further issue related to sampling was the lack of representativeness of female participants (one third of the studies had all male participants). For example, after a cardiac event, men have been found to have a greater likelihood of returning to work in a full time capacity and are less likely to report depression than females . The inclusion of samples with only male participants may have both overrepresented RTW rates, and underrepresented the presence of depression. Female representation in this area of study is important when considering the proportion of those in paid employment at the time of MI has increased for both genders in recent times. For example in 1985, studies showed 34% of males and 18% of females were employed at the time of MI  compared with 65% and 32% respectively in 1999 , which may reflect demographic changes of workforce participation, or a decrease in the average age of a cardiac event.
If we compare the studies that did and did not find an association between depression and RTW post-MI, while no clear methodological differences were observed, failure to control for gender may have been a potential issue. Of the seven studies reporting depression as a predictor of RTW, one included males only, compared with three of the studies not reporting significant results. In fact, of the studies which failed to show depression as a significant predictor of RTW post-MI, only one controlled for gender (Mayou ), which may have had an impact upon results.
Second, the wide variation between definitions of RTW and depression measures may have undermined comparability of the studies included in the review. It should be noted that the variance in depression assessment instruments used in these studies also meant inconsistencies in time frames over which participants were asked to report their depression symptoms (for example, the MMPI assesses depression over a 12 month preceding period, while HADS assesses depression over a four week period), which has implications on results. Although not the focus of the review, there is evidence to suggest that depression assessment tools vary in their sensitivity to detect depression as a predictor of RTW . Future studies in this area should consider this. Despite these limitations, our findings suggest that the majority of articles included in this review remained of moderate to high quality. In order to overcome the methodological limitations observed, we recommend the development and use of a brief, validated work measurement to capture employment outcomes, in order to enhance comparability of studies and allow for appropriate analyses of work outcomes. While depression was found to be a significant factor influencing RTW at both 6 and 12 months post MI, further research is required to determine the long lasting effects of cardiac depression on job retention. As the studies included in the review did not report assessing clinical depression using diagnostic instruments but rather self-report inventories, it remains unclear whether treating depression would improve vocational outcomes. While there is evidence that treating depression symptoms can improve vocational outcomes in primary care attendees (e.g. Lo Sasso et al ), this is yet to be demonstrated in CVD populations.
Therefore, we recommend that future clinical trials evaluating the effectiveness of post MI depression treatment use RTW as an endpoint. Furthermore, only two of the studies included in this review examined the impact of pre-existing depression on RTW rates. With evidence suggesting that depression outcomes (persistent major depression, subthreshold depression, or remission) are strongly associated with the probability of maintaining paid employment in depressed populations , further research is required into how work outcomes may differ according to types of depression in cardiac populations. Distinguishing between transient depressive symptoms following a life threatening cardiac event, (which, in many cases are only captured by self-report inventories), and more stable clinical depression may be useful for anticipating longer term effects on functioning.
Return to Work
Atherosclerosis Risk in Communities
Percutaneous Coronary Intervention
Enhancing Recovery in Coronary Heart Disease Patients
Acute Coronary Syndrome
Coronary Artery Disease
Coronary Artery Bypass Graft
Coronary Artery Bypass Surgery
Percutaneous Transluminal Coronary Angioplasty
Beck Depression Inventory
Beck Depression Inventory Fast Scale
Center for Epidemiologic Studies Depression Scale
Center for Epidemiologic Studies Depression Scale, German version
Hospital Anxiety and Depression Scale
Coronary Heart Disease
Coronary Artery Disease
Minnesota Multiphasic Personality Inventory
Quality of Life
Schrader G, Cheok F: Predictors of Depression Three Months after Hospitalisation. Psychosomatic Med 2005, 66: 514–520. 10.1097/01.psy.0000128901.58513.db
Appels A, Mulder P: Excess fatigue as a precursor of myocardial infarction. Eur Heart J 1988.,9(758–64):
Kaul P, Newby LK, Fu Y, Mark DB, Califf RM, Topol EJ, Aylward P, Granger CB, Van de Werf PF, Armstrong PW: International differences in evolution of early discharge after acute myocardial infarction. The Lancet 2004,363(9408):511–517. 10.1016/S0140-6736(04)15536-0
Frasure-Smith N, Lesperance F, Talajic M: Depression and 18-month prognosis after myocardial infarction. Circulation 1995, 91: 999–1005.
Söderman E, Lisspers J, Sundin Ö: Depression as a predictor of return to work in patients with coronary artery disease. Social Science & Medicine 2003,56(1):193–202.
Schleifer SJ, Macari-Hinson MM: The Nature and Course of Depression Following Myocardial Infarction. Arch Intern Med 1989,149(8):1785–1789. 10.1001/archinte.149.8.1785
Stay-at-Work and Return-to-Work Process Improvement Committee: Preventing needless work disability by helping people stay employed. Journal of Occupational & Environmental Medicine 2006,48(9):972–987.
Boudrez H, De Backer G, Comhaire B: Return to work after myocardial infarction: results of a longitudinal population based study. Eur Heart J 1994,15(1):32–36.
Mayou RA, Gill D, Thompson DR, Day A, Hicks N, Volmink J, Neil A: Depression and Anxiety As Predictors of Outcome After Myocardial Infarction. Psychosom Med 2000,62(2):212–219.
Dennis C: Early return to work after uncomplicated myocardial infarction. Results of a randomized trial. JAMA 1988,260(2):214. 10.1001/jama.260.2.214
MÆland JG, Havik OE: Psychological predictors for return to work after a myocardial infarction. Journal of Psychosomatic Research 1987,31(4):471–481. 10.1016/0022-3999(87)90005-5
Hlatky MA, Haney T, Barefoot J, Califf R, Mark D, Pryor D: Medical, psychological and social correlates of work disability among men with coronary artery disease. The American journal of cardiology 1986,58(10):911. 10.1016/S0002-9149(86)80009-1
Glozier N, Hackett M, Parag V, Anderson C, for the Auckland Regional Community Stroke Study G: The Influence of Psychiatric Morbidity on Return to Paid Work After Stroke in Younger Adults: The Auckland Regional Community Stroke (ARCOS) Study, 2002 to 2003. Stroke 2008,39(5):1526–1532. 10.1161/STROKEAHA.107.503219
Bhattacharyya MR, Perkins-Porras L, Whitehead DL, Steptoe A: Psychological and clinical predictors of return to work after acute coronary syndrome. Eur Heart J 2007,28(2):160–165. 10.1093/eurheartj/ehl440
Rosamond WD, Chambless LE, Folsom AR, Cooper LS, Conwill DE, Clegg L, Wang C-H, Heiss G: Trends in the Incidence of Myocardial Infarction and in Mortality Due to Coronary Heart Disease, 1987 to 1994. N Engl J Med 1998,339(13):861–867. 10.1056/NEJM199809243391301
Myerson M, Coady S, Taylor H, Rosamond WD, Goff DC Jr, for the ARIC Investigators: Declining Severity of Myocardial Infarction From 1987 to 2002: The Atherosclerosis Risk in Communities (ARIC) Study. Circulation 2009,119(4):503–514. 10.1161/CIRCULATIONAHA.107.693879
Goff DC, Howard G, Wang C-H, Folsom AR, Rosamond WD, Cooper LS, Chambless LE: Trends in severity of hospitalized myocardial infarction: The Atherosclerosis Risk In Communities (ARIC) study, 1987–1994. American Heart Journal 2000,139(5):874–880. 10.1016/S0002-8703(00)90020-6
Lucas FL, DeLorenzo MA, Siewers AE, Wennberg DE: Temporal Trends in the Utilization of Diagnostic Testing and Treatments for Cardiovascular Disease in the United States, 1993–2001. Circulation 2006,113(3):374–379. 10.1161/CIRCULATIONAHA.105.560433
Danchin N, Vaur L, Genès N, Renault M, Ferrières J, Etienne S, Cambou J-P: Management of Acute Myocardial Infarction in Intensive Care Units in 1995: A Nationwide French Survey of Practice and Early Hospital Results. Journal of the American College of Cardiology 1997,30(7):1598–1605. 10.1016/S0735-1097(97)00371-9
Writing Committee for the ENRICHD Investigators: Effects of treating depression and low social support on clinical events after myocardial infarction: the enhancing recovery in coronary heart disease patients (ENRICHD) randomized trial. JAMA 2003, 289: 3106–3116. 10.1001/jama.289.23.3106
Rost K: Return to work after an initial myocardial infarction and subsequent emotional distress. Archives of internal medicine 1992,152(2):381–385. 10.1001/archinte.152.2.381
Cardiovascular disease: prevention and control [http://www.who.int/dietphysicalactivity/publications/facts/cvd/en/]
Cooper C, Dewe P: Well-being--absenteeism, presenteeism, costs and challenges. Occup Med (Lond) 2008,58(8):522–524. 10.1093/occmed/kqn124
Kessler RC, Merikangas KR, Wang PS: The Prevalence and Correlates of Workplace Depression in the National Comorbidity Survey Replication. Journal of Occupational and Environmental Medicine 2008,50(4):381–390. 310. 1097/JOM.1090b1013e31816ba31819b31818 10.1097/JOM.0b013e31816ba9b8
Altman DG: Systematic reviews of evaluations of prognostic variables. Quality & Safety in Health Care 2001,323(7306):224.
Iles RA, Davidson M, Taylor NF: Psychosocial predictors of failure to return to work in non-chronic non-specific low back pain: a systematic review. Occup Environ Med 2008,65(8):507–517. 10.1136/oem.2007.036046
Engblom E, Korpilahti K, Hamalainen H, Ronnemaa T, Puukka P: Quality of Life and Return to Work 5 Years After Coronary Artery Bypass Surgery: Long term results of cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation and Prevention 1997,17(1):29–36. 10.1097/00008483-199701000-00004
Fukuoka Y, Dracup K, Takeshima M, Ishii N, Makaya M, Groah L, Kyriakidis E: Effect of job strain and depressive symptoms upon returning to work after acute coronary syndrome. Social Science & Medicine 2009, 68: 1875–1881.
Samkange-Zeeb F, Altenhöner T, Berg G, Schott T: Predicting non-return to work in patients attending cardiac rehabilitation. International Journal of Rehabilitation Research 2006,29(1):43–49. 10.1097/01.mrr.0000185949.02552.0d
Brink E, Brandstrom Y, Cliffordsson C: Illness consequences after myocardial infarction: problems with physical functioning and return to work. Journal of advanced nursing 2008,64(6):587. 10.1111/j.1365-2648.2008.04820.x
Soejima Y, Steptoe A, Nozoe S-i, Tei C: Psychosocial and clinical factors predicting resumption of work following acute myocardial infarction in Japanese men. International Journal of Cardiology 1999,72(1):39–47. 10.1016/S0167-5273(99)00157-6
Sykes DH, Hanley M, Boyle DM, McC. Boyle D, Higginson JDS: Work strain and the post-discharge adjustment of patients following a heart attack. Psychology & Health 2000,15(5):609–623.
Mittag O, Kolenda KD, Nordmann KJ, Bernien J, Maurischat C: Return to work after myocardial infarction/coronary artery bypass grafting: patients' and physicians' initial viewpoints and outcome 12 months later. Social Science & Medicine 2001,52(9):1441–1450.
Ladwig KH, Roll G, Breithardt G, Budde T, Borggrefe M: Post-infarction depression and incomplete recovery 6 months after acute myocardial infarction. The Lancet 1994,20(24):343.
McGee H, Doyle F, Conroy R, De La Harpe D, Shelley E: Impact of briefly-assessed depression on secondary prevention outcomes after acute coronary syndrome: a one-year longitudinal survey. BMC Health Services Research 2006,6(1):9. 10.1186/1472-6963-6-9
Petrie KJ, Weinman J, Sharpe N, Buckley J: Role of patients' view of their illness in predicting return to work and functioning after myocardial infarction: longitudinal study. BMJ 1996,312(7040):1191–1194.
Wells KB, Sherbourne C, Schoenbaum M, Duan N, Meredith L, Unutzer J, Miranda J, Carney MF, Rubenstein LV: Impact of Disseminating Quality Improvement Programs for Depression in Managed Primary Care: A Randomized Controlled Trial. JAMA 2000,283(2):212–220. 10.1001/jama.283.2.212
Roblin D: Delivery of Outpatient Cardiac Rehabilitation in a Managed Care Organization. Journal of cardiopulmonary rehabilitation 2004,24(3):157–164. 10.1097/00008483-200405000-00004
McGee HM, Graham T, Crowe B, Horgan JH: Return to work following coronary artery bypass surgery or percutaneous transluminal coronary angioplasty. European Heart Journal 1993,14(5):623–628.
Brisson C, Leblanc R, Bourbonnais R, Maunsell E, Dagenais GR, Vezina M, Masse B, Kroger E: Psychologic Distress in Postmyocardial Infarction Patients Who Have Returned to Work. Psychosom Med 2005,67(1):59–63. 10.1097/01.psy.0000146293.10746.f3
Tunstall-Pedoe H, Morrison C, Woodward M, Fitzpatrick B, Watt G: Sex Differences in Myocardial Infarction and Coronary Deaths in the Scottish MONICA Population of Glasgow 1985 to 1991: Presentation, Diagnosis, Treatment, and 28-Day Case Fatality of 3991 Events in Men and 1551 Events in Women. Circulation 1996,93(11):1981–1992.
Lieberman L: Cardiac rehabilitation: gender differences in factors influencing participation. Journal of women's health 1998,7(6):717. 10.1089/jwh.1998.7.717
Lo Sasso AT, Rost K, Beck A: Modeling the Impact of Enhanced Depression Treatment on Workplace Functioning and Costs: A Cost-Benefit Approach. Medical Care 2006,44(4):352–358. 10.1097/01.mlr.0000204049.30620.1e
Simon GE, Chisholm D, Treglia M, Bushnell D: Course of depression, health services costs, and work productivity in an international primary care study. General Hospital Psychiatry 2000,24(5):328–335. 10.1016/S0163-8343(02)00201-3
AO is supported by a Post Graduate Award from the National Heart Foundation of Australia (PP 08M4079). KS is supported by an Australian Research Council Future Fellowship (FT991524). The authors would like to thank Carla Renwick (CR) for acting as an independent assessor on this review and Professor C. Barr Taylor and Dr Dominique Bird for their invaluable feedback.
The authors declare that they have no competing interests.
AO conceptualised the paper, synthesised, analysed and interpreted data, and wrote the original version of the manuscript. KS assisted with the inclusion/exclusion criteria, coding, synthesis and analysis of data and critically revised drafts of the manuscript. BO critically revised drafts of the manuscript. All authors approved the final version of the manuscript.
Electronic supplementary material
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.