Abstract
Background
Cardio- and cerebrovascular events such as myocardial infarction (MI), stroke and transient ischemic attack (TIA) are leading causes of death and disability and have also been associated with poor mental outcomes. In addition, cardio- and cerebrovascular events may pose the risk of experiencing a sudden traumatic occurrence of symptoms during ictus and thus contribute to high rates of PTSD as well as high rates of subsequent depression and anxiety. Moreover, MI, TIA and stroke survivors with PTSD, depressive and anxiety symptoms may have poorer health-related quality of life (HRQoL) and poorer disease prognosis than patients who do not develop psychiatric symptoms after ictus. However, data on the prevalence of PTSD, anxiety and depression, as well as the HRQoL, coping strategies and potential risk factors for development of PTSD in these patients, are rare.
Methods
In an exploratory, descriptive study we interviewed 112 patients (54 MI, 18 TIA, 40 stroke; mean age: 69.5 years, 55.4% males) from three general physician practices and used psychometric self-assessment tools to determine the occurrence of PTSD and psychosomatic comorbidity, anxiety and depression and to assess HRQoL and coping strategies. We evaluated disease severity and compared the patient groups to each other. Moreover, we assessed psychological outcome differences between patients with or without PTSD after ictus.
Results
The prevalence of PTSD after MI, TIA and stroke was 23.2%. The patients who developed PTSD had higher rates of depression, anxiety and maladaptive coping as well as reduced HRQoL. Adaptive coping was positively related to better mental HRQoL and negatively related to anxiety and depression. Disease severity of MI, TIA and stroke was not related to PTSD, depression, anxiety or physical HRQoL.
Conclusions
Experiencing MI, TIA or stroke means confronting a life-threatening event for those affected and, therefore, these can be regarded as traumatic events. Cerebral and cardiovascular events increase the risk of developing chronic PTSD with subsequent increased depression and anxiety and reduced HRQoL. These findings emphasize the need for early screening and diagnosis of PTSD in somatically ill patients, which should be followed by specialized treatment, as PTSD hampers overall (somatic) disease prognosis.
Trial registration
German Clinical Trials Register, DRKS00021730, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00021730, registered 05/19/2020 - Retrospectively registered.
Keywords: PTSD, TIA, Stroke, Myocardial infarction, Depression, Anxiety, Coping strategies, HRQoL
Background
Cardio- and cerebrovascular events such as myocardial infarction (MI), stroke and transient ischemic attack (TIA) are leading causes of death and disability [1]. All conditions have been associated with poor mental outcomes, e.g., depression and anxiety, and worse quality of life. Post-stroke depression (PSD) can be ascribed as the most prevalent psychiatric complication of acute stroke and TIA [2, 3]. PSD affects about 30% of patients within a five-year period after stroke or TIA [2, 4, 5]. Moreover, MI, TIA and stroke are described by a dramatic and sudden onset. Thus, all conditions may pose the risk of experiencing a sudden traumatic occurrence of symptoms during ictus. This experience is likely to contribute to higher rates of PTSD and also higher rates of subsequent depression and anxiety [6] than in the general population. In 1994, for the first time, the DSM-IV added life-threatening diseases such as MI, stroke and TIA as possible triggers of PTSD.
Various studies have shown that MI can induce PTSD and PTSD-like symptoms [7, 8]. Moreover, MI-induced PTSD may contribute to an increase in the overall mortality rate and rate of hospital stays in MI survivors [9]. According to Edmondson et al., PTSD is associated with a 2-fold increased risk of reinfarction or death [9, 10]. In addition, MI survivors with PTSD report a significantly poorer health-related quality of life (HRQoL) [11]. Moreover, PTSD is associated with reduced drug adherence [12] and may subsequently deteriorate disease prognosis. Young age, female sex, a psychiatric history and maladaptive coping strategies may be risk factors for developing PTSD after MI [13, 14].
Additionally, in stroke patients, residual impairment and sequelae of permanent neurological deficits have an impact on HRQoL and may therefore contribute to psychological and psychosocial problems [15, 16]. Thus, increased prevalence of PTSD, depression and anxiety are found in stroke survivors [15, 17, 18]. Similar to patients with MI, younger age, a medical history including several strokes or TIAs and physical impairment due to stroke are risk factors for the development of PTSD after ictus [15, 19]. Social support seems to have a high protective value. Similar to cardiac events, deterioration in mental and physical HRQoL was observed in stroke survivors with PTSD [20]. Compared to patients with PTSD after MI [21], PTSD patients after stroke or TIA may have a poorer prognosis. If not adequately treated, PTSD symptoms tend to become chronic and persist for several years [6, 21]. According to the “National Comorbidity Survey”, approximately 1/3 of affected patients show a significant decrease in symptoms after one year. In more than 1/3, specific symptoms were found several times a week even 10 years after the event. If no adequate treatment occurred, PTSD symptoms were present for approximately five years, while symptoms persisted for approximately three years in patients that received symptom treatment [22]. Although MI, stroke and TIA are highly prevalent [1, 23], only a few studies have assessed the prevalence of PTSD, anxiety and depression in these patient cohorts [24–27]. Moreover, data on coping strategies in these patients are even rarer [27–29].
Therefore, in an exploratory, descriptive study we aimed to describe the prevalence of PTSD, depression, anxiety, HRQoL and coping styles in patients who have experienced MI, stroke or TIA and compare the patient groups to each other. Moreover, we attempted to identify psychological outcome differences between patients with or without PTSD after ictus.
Methods
In an exploratory, descriptive study from April 1, 2017, to October 2018, 112 patients who had survived MI, stroke or TIA were interviewed. The study took place in urban practices in Wolfenbüttel, Braunschweig and Schladen, Germany. The study was approved by the Ethics Committee of the University of Oldenburg (169/2016) and performed in accordance with the ethical standards as set forth in the Declaration of Helsinki and its later amendments. The study is registered in the German Clinical Trials Register (DRKS00021730). Adult subjects who were diagnosed with one of the above somatic diagnoses at least three months and at most five years ago were eligible for inclusion. Non-German speakers were excluded from participating in the study. Only patients who did not have a psychiatric disorder, e.g., depression, anxiety disorder, PTSD or psychosis, before ictus were included in the study. All patients who fulfilled the inclusion criteria were informed about the study by an experienced interviewer (AD) during the general practitioner’s consultation. All subjects gave their written informed consent prior to their voluntary participation in the study. All research participants were informed about their right to withdraw from the study at any time and without giving any reason. The survey was performed in a structured expert-guided interview. Each interview lasted approximately 2 h on average. To avoid rater bias, the interview was performed by a single rater (AD). The questionnaires included the following validated psychometric instruments: PC-PTSD (Primary Care Checklist for PTSD), CAPS-5 (Clinician-Administered PTSD Scale for DSM-5), Brief COPE (Coping Strategies Inventory), HADS (Hospital Anxiety and Depression Scale), SF-12 (Short Form 12 Health Survey) and a sociodemographic questionnaire. If the PC-PTSD screening test was positive, another detailed survey (CAPS-5) followed to ensure the PTSD diagnosis. The GRACE score (Global Registry of Acute Coronary Events Score) was filled out retrospectively based on the patient data from the medical discharge reports. The mNIHSS (Modified National Institutes of Health Stroke Scale) was scored based on the results of the current neurological examinations in practice.
The following questionnaires and scoring systems were used:
Primary care-PTSD screen (PC-PTSD)
The German version of the Primary Care-PTSD Screen (PC-PTSD) was used to assess the occurrence of PTSD symptoms. The PC-PTSD is a validated brief 4-item instrument developed by the Veteran’s Administration to screen for PTSD in primary care settings [30]. The PC-PTSD consists of four items that broadly correspond to the DSM--IV diagnostic criteria: intrusion; avoidance, hyperarousal and numbness or detachment (from others, activities, or surroundings). Those who endorsed at least 3 items screened positive on this scale. We further investigated patients who were screened positively PC-PTSD by asking them to subsequently complete the CAPS-5.
Clinically administered PTSD scale (CAPS-5)
The CAPS-5 is a structured clinical interview that covers the 20 symptoms of PTSD described in the DSM-5 [31]. The CAPS-5 is a 30-item questionnaire [32]. Furthermore, overall symptom severity as well as global, social, occupational and personal impairment are assessed. The main criterion (A), the traumatic event, is assessed with the added Life Events Checklist for the DSM-5 (LED-5). First, the subject was read a list of questions about their mental condition after the serious illness, e.g., MI, then the frequency of symptoms was rated on a four-point scale and intensity of symptoms was rated on one five-point scale. The examiner assessed the validity of the statements, the overall severity of the symptoms and the improvement in symptoms upon repeated assessment or the improvement in symptoms within the past six months. The diagnosis of PTSD was established by dichotomizing the individual symptoms as “present” or “not present”, according to the DSM-5 diagnostic rules. A symptom was only considered to be present if the corresponding frequency score was rated with at least 1 point (cut-off value) and the intensity score was rated with at least 2 points (cut-off value). Dissociative phenomena were assessed as positive in the CAPS-5 if the score was more than 4 points for the sum of frequency and intensity for either the “depersonalization” or “derealization” symptoms [33].
Short form (SF)-12
HRQoL can be understood as a complex concept encompassing social, psychological, and physical aspects of wellbeing and functioning. HRQoL was assessed using the German version of the Short Form (SF)-12 questionnaire [34]. The SF-12 uses only 12 of the 36 questions from the SF-36, and the 12 questions can be abstracted from the answers provided in the SF-36 [35]. The questions of the SF-12 were evaluated as follows: each given answer option in the SF-12 questionnaire was assigned a numerical value from one to a maximum of six. Questions 1, 8, 9 and 10 of the SF-12 were reversed so that high values always corresponded to a better state of health. The 12 items are aggregated into two health summary scales that reflect physical (PCS) and mental (MCS) components ranging from 0 (worst) to 100 (best). The component scores for the SF-12 are norm-based, with a mean score of 50 and a standard deviation of ±10. A higher score reflects better HRQoL [34].
Hospital anxiety and depression scale (HADS)
To assess the prevalence of depressive and/or anxiety symptoms in the past week, we used the HADS [36]. The HADS is a well validated screening instrument for psychological burden in patients with somatic diseases and is widely used. It consists of two subscales (anxiety and depression) comprising 7 items each. Items are scored on a four-point Likert scale between 0 and 3. Subscale scores of 7 and below are considered as having no depressive or anxiety symptoms, whereas scores between 8 and 10 are considered borderline, and scores of 11 and above indicate clinical manifestations of depressive or anxiety symptoms [36, 37].
Coping strategies inventory (brief COPE)
The COPE inventory, which contains 12 subscales, was applied to assess the patient’s disposition for using maladaptive/adaptive coping strategies [38]. It consists of 28 items scored on a four-point Likert scale, where 1 means “not at all”, 2 means “some”, 3 means “quite often”, and 4 means “a lot”. The sum of maladaptive coping strategy scores (denial, substance use, behavioral disengagement, self-distraction, self-blame) was assessed as an indicator of maladaptive coping. The sum of the adaptive coping strategy scores (active coping, emotional support, expression of emotions, instrumental support, positive reinterpretation, planning, humor and acceptance) was assessed as an indicator of adaptive coping. The higher the maladaptive or adaptive coping test score, the more patients habitually use maladaptive or adaptive coping strategies, respectively [38].
Global registry of acute coronary events (GRACE) score
To assess the severity of MI on admission (index event), the GRACE score was used [39]. The GRACE score has been extensively validated. It is a strong predictor of inpatient mortality and undesirable outpatient outcome parameters, e.g., PTSD in MI patients. One of the parameters is the so-called Killip classification, which is based on the clinical signs of heart failure. Other parameters of the GRACE score include patient age, heart rate, systolic blood pressure, serum creatinine level, cardiac arrest at hospital entry, ST segment deviation on the ECG and elevated cardiac markers. The severity of MI was divided into three possible levels depending on the GRACE score: mild with less than 100 points (inpatient mortality < 1%), moderate with 101–170 points (inpatient mortality 1–9%) and severe with 171–250 points (inpatient mortality> 9%) [40]. The higher the GRACE score, the more severe the MI [39].
Modified National Institutes of Health stroke scale (mNIHSS)
The mNIHSS is a scoring system that enables a quantitative assessment of the severity of TIA and stroke in outpatients at the time of the survey. The mNIHSS comprises 11 items that assess state of consciousness, eye movement, visual field, facial muscles, movement of the extremities, coordination of the extremities, sensitivity, language production and understanding, speech function and attention [41]. Each of the 11 items in the mNIHSS is assigned a numerical value from 0 to a maximum of 4 according to the results of the neurological examinations. An mNIHSS score is then determined by summing the item scores. The severity of the neurological deficits was divided into three possible levels: no-mild deficits at 0–4 points, moderate deficits at 5–20 points and severe deficits at 21–31 points. The higher the score on the mNIHSS, the more extensive and severe the stroke [41].
Sociodemographic data
To assess the sociodemographic data, age, sex, marital status, number of children, education and vocational training and employment were determined. These data were collected using selected questions from the DEGS98 (Federal Health Survey 1998) [42].
Statistics
This study was a cross-sectional exploratory study. For the descriptive statistical evaluation, nominally scaled or categorical characteristic variables are shown as frequencies and percents. Continuous variables were presented by specifying mean values and associated standard deviations. Most of the calculations were carried out using continuous data (e.g., correlative calculations), including those of the psychometric survey instruments used. Nominal-scaled and continuous variables were evaluated using the χ2 test or Fisher exact test as appropriate and analysis of variance (ANOVA), respectively. Comparisons of the mean values of two unpaired samples were carried out with the t-test to determine differences between the study groups (MI, TIA and stroke). All significance tests were two-sided. A commercially available statistical program (SPSS™ Version 25, SPSS Inc., Chicago, Ill, USA) was used for data analysis. Significance was consequently set at p ≤ 0.05.
Results
The total sample consisted of 50 women (44.6%) and 62 men (55.4%). The mean age of the female patients was higher (73.9 ± 17.1 years) than that of the male patients (66.0 ± 12.2 years, p = 0.006). Table 1 summarizes the participants’ sociodemographic information (Table 1). 54 patients with MI, 18 patients with TIA and 40 patients with stroke were included in the study.
Table 1.
MI N = 54 (48.2%) |
TIA N = 18 (16.1%) |
Stroke N = 40 (35.7%) |
p-value | ||
---|---|---|---|---|---|
Age ± SD |
68.1 ± 13.7 | 72.7 ± 18.7 | 70.0 ± 15.2 | 0.532 | |
Sex | female | 18 (33.3%) | 11 (61.1%) | 21 (52.5%) | 0.056* |
male | 36 (66.7%) | 7 (38.9%) | 19 (47.5%) | ||
Marital status | single | 4 (7.4%) | 3 (16.7%) | 2 (5.0%) | 0.423† |
within a partnership | 38 (70.4%) | 9 (50.0%) | 26 (65.0%) | ||
married | 12 (22.2%) | 6 (33.3%) | 12 (30.0%) | ||
Number of children | 0 | 8 (14.8%) | 4 (22.2%) | 5 (12.5%) | 0.443† |
1 | 10 (18.5%) | 4 (22.2%) | 9 (22.5%) | ||
2 | 28 (51.8%) | 7 (38.8%) | 16 (40.0%) | ||
3+ | 8 (14.9%) | 3 (16.8%) | 10 (25.0%) | ||
Graduation/Education | basic prim. School | 48 (88.9%) | 15 (83.3%) | 35 (87.5%) | 0.238† |
high school / uni ent | 4 (7.4%) | 1 (5.6%) | 2 (5.0%) | ||
without | 2 (3.7%) | 2 (11.1%) | 3 (7.5%) | ||
Professional qualification | apprenticeship | 34 (63.0%) | 13 (72.2%) | 27 (67.5%) | 0.082† |
craftsman | 2 (3.7%) | 2 (11.1%) | 0 (0.0%) | ||
university | 5 (9.3%) | 0 (0.0%) | 0 (0.0%) | ||
none | 13 (24.1%) | 3 (16.7%) | 13 (32.5%) | ||
Occupation | employee | 51 (94.4%) | 17 (94.4%) | 40 (100.0%) | 0.264† |
self-employed | 1 (1.9%) | 1 (5.6%) | 0 (0.0%) | ||
none | 2 (3.7%) | 0 (0.0%) | 0 (0.0%) | ||
Disease severity |
GRACE (mean ± SD) mNIHSS (mean ± SD) |
125.2 ± 36.8 | 0.4 ± 0.9 | 7.6 ± 3.4 | < 0.001 |
PTSD | PTSD+ (n = 26) | 7 (13.0%) | 3 (16.7%) | 16 (40.0%) | 0.007† |
PTSD- (n = 86) | 47 (87.0%) | 15 (83.3%) | 24 (60%) | ||
HADS-D | mean ± SD | 6.0 ± 4.6 | 9.3 ± 5.2 | 10.4 ± 5.0 | < 0.001 |
HADS-A | mean ± SD | 6.3 ± 3.1 | 7.6 ± 2.9 | 8.4 ± 4.4 | 0.022 |
basic prim. School: basic primary school. Uni entr: University entry diploma. MI: myocardial infarction. TIA: transient ischemic attack. GRACE: Global Registry of Acute Coronary Events Score. mNIHSS: Modified National Institutes of Health Stroke Scale. SD: Standard Deviation. PTSD: Post-traumatic stress disorder. HADS: Hospital Anxiety and Depression Scale, D-depression subscale, A- anxiety subscale. *- Chi-squared Test, †- Fisher’s exact test
PTSD
All patients answered the PC-PTSD scale of whom 28 screened positive. These 28 participants completed the CAPS-5. A total of 23.2% (n = 26) of the 112 study participants fulfilled the criteria for PTSD. The highest PTSD prevalence was found in the stroke patients (40.0%, n = 16), followed by the TIA patients (16.7%, n = 3) and the MI patients (only 13.0%, n = 7, p = 0.007). There was an average disease severity of 125.2 ± 36.8 (moderate) in MI patients. TIA patients had only mild disease severity (0.4 ± 0.9), which differed significantly from stroke patients who had moderate disease severity (7.57 ± 3.4, p < 0.001). Disease severity in MI patients did not differ significantly between those with and without PTSD (117.1 ± 28.4 vs. 126.4 ± 38.1, p = 0.540). However, in stroke patients, disease severity in patients with PTSD was significantly higher than that in stroke patients without PTSD (8.0 ± 4.5 vs. 4.0 ± 3.7, p = 0.001).
HADS
The average HADS score for depression was lowest in MI patients (6.0 ± 4.6), higher in TIA patients (9.3 ± 5.2) and highest in stroke patients (10.4 ± 5.0, p < 0.001). The average HADS score for anxiety was again lowest in MI patients (6.3 ± 3.1), higher in TIA patients (7.6 ± 2.9) and highest in stroke patients (8.4 ± 4.4, p = 0.022). Of the 26 PTSD patients with MI, stroke or TIA, 52.8% (n = 19) had a HADS depression score of more than eleven, while 47.2% (n = 17) had a HADS depression score value of 11 points or lower. Of the 86 PTSD-negative patients with MI, stroke or TIA, only 18,4% (n = 14) had a HADS depression score of more than eleven, while 81,6% (n = 62) had a HADS depression score value of 11 points or lower (p < 0.001). The lowest number of patients with a HADS depression score of more than 11 points was in the MI patients (13%, n = 7), while there were more in TIA patients (33.3%, n = 6) and the highest number in stroke patients (50%, n = 20, p < 0.001).
Of the 26 PTSD patients with MI, stroke or TIA, 50% (n = 13) had a HADS anxiety score of more than eleven, while 50% (n = 13) had a HADS anxiety score of 11 points or lower. Of the 86 PTSD-negative patients with MI, stroke or TIA, only 11,6% (n = 11) had a HADS anxiety score of more than eleven, while 88,4% (n = 76) had a HADS anxiety score value of 11 points or lower (p < 0.001). The number of patients with a HADS anxiety score of more than eleven was similar between the groups (MI patients: 14.8%, n = 8; TIA patients: 16.7%, n = 3; stroke patients: 30%, n = 12, p = 0.179).
Dissociation
The prevalence of dissociation was 3.6% in the whole patient population. Only patients with PTSD had dissociated (p = 0.002).
Coping in patients with MI, TIA and Stroke (COPE-A, COPE-M)
Only adaptive coping had significant effects on PTSD, depression and anxiety. PTSD patients (n = 26) had significantly lower COPE-A mean values (35.7 ± 5.2) than PTSD-negative (n = 86) patients (39.5 ± 6.2, p = 0.005). Depressive patients with a HADS depression score value of more than eleven (n = 33) had significantly lower COPE-A mean values (35.6 ± 5.1) than had patients (n = 79) without depression (40.0 ± 6.2, p < 0.001). Anxious patients with a HADS anxiety score value of more than eleven (n = 23) had significantly lower COPE-A mean values (36.2 ± 4.8) than had patients (n = 89) without anxiety (39.4 ± 6.4, p = 0.012). The mean values of the COPE-A and COPE-M did not significantly differ between the MI, stroke and TIA patients (p > 0.05).
Quality of life in patients with MI, stroke or TIA (SF-12)
The PCS and MCS of all study participants were numerically below the reference values of the German general population [43] (Table 2).
Table 2.
mean ± SD | MI N = 54 |
TIA N = 18 |
Stroke N = 40 |
p-value | General Population |
---|---|---|---|---|---|
MCS | 41.7 ± 10.2 | 36.9 ± 10.4 | 37.8 ± 8.3 | 0.072 | 51.4 ± 0.30 |
PCS | 44.6 ± 8.7 | 39.6 ± 6.6 | 38.3 ± 7.6 | 0.001 | 49.3 ± 0.30 |
MCS: mental component summary (of the SF-12), PCS: physical component summary (of the SF-12), MI: myocardial infarction, TIA: transient ischemic attack
MCS was highest in MI patients (44.6 ± 8.7), second highest in TIA patients (39.6 ± 6.6) and lowest in stroke patients (38.3 ± 7.6, p = 0,001). The mean values of the PCS were similar between the three groups (p = 0.072).
MCS was significantly lower in patients (n = 26) with PTSD (37.0 ± 6.9) than in patients (n = 86) without PTSD (42.9 ± 8.5, p = 0.002). PCS was again significantly lower in patients with PTSD (36.8 ± 7.3) than in patients without PTSD (40.4 ± 10.3, p = 0.004). The MCS, but not in the PCS, was significantly different (p = 0.021) between the three groups (Table 3).
Table 3.
MCS | Below average | Average | Above average | p-value |
---|---|---|---|---|
MI | 7.4% | 63% | 29.6% | 0.021 |
TIA | 11.1% | 83.3% | 5.6% | |
Stroke | 22.5% | 67.5% | 10% |
MCS: mental component summary (of the SF-12), MI: myocardial infarction, TIA: transient ischemic attack
Discussion
Diagnosis of MI, TIA or stroke means confrontation with a life-threatening event for those affected and can therefore be regarded as a traumatic event. Cerebral and cardiovascular events may increase the risk of developing chronic PTSD. There has been an abundance of evidence, particularly in recent years, demonstrating the enormous influence of psychological factors not only on HRQoL but also on the course of the disease and the survival chances of patients with MI, TIA or stroke [44–46]. These concepts and the corresponding therapeutic approaches are hardly known in the routine medical care of these patients. In addition to medical treatment, a particular challenge is the early detection of high-risk patients who may develop symptoms of PTSD in the future. Only early detection of these symptoms enables fast and effective therapy. This is the only way to prevent further chronification, therapy delay and prolongation of the length of hospital stay followed by a poorer prognosis.
In our study, the prevalence of chronic PTSD in MI, TIA and stroke patients was 23.2%, which is more than 4 to 40 times higher than the lifetime prevalence in the general population in Europe (0.56 to 6.67%) [47]. This indicates an outstanding high-risk population for PTSD hampering their overall prognosis. Our findings highly emphasize the need for an early screening and diagnosis of PTSD in cardiovascular and neurovascular patients, which should be followed by a specialized treatment of any identified PTSD symptoms. The sociodemographic characteristics of our patients, e.g., age, family status, number of children, level of education or occupation of the sample, were not associated with the PTSD prevalence estimates. Moreover, we did not find significant statistical relationships between the severity of the disease, i.e., MI, TIA or stroke, and the development of chronic PTSD. Numerous studies did not find correlations between disease severity and later manifestations of PTSD symptoms [48–50]. However, structured prospective examinations with larger cohorts should be conducted in the future. The prevalence of depression in MI, TIA and stroke patients was 29.5%, which is more than twice as high as in the general population (2–12%) [51, 52].
In the comparisons between the groups, we observed highly significant differences. The prevalence of depression was 13.0% in MI patients, 33.3% in TIA patients and 50.0% in stroke patients. Previous studies have shown similarly increased depression rates after stroke (3–39%) [53–55]. This is probably because the diagnostic symptoms of depression and stroke overlap in the DSM-5 [56], and our sample consisted mainly of patients with moderate stroke severity. Stroke severity and physical disability are the most consistent predictors of poststroke depression [54, 57]. In contrast to anxiety disorder, depression may increase the mortality and disability of stroke patients [58]. Probably due to the increased depression rate, the mental and physical HRQoL of our patient groups were significantly lower than the quality of life of the general population. This is confirmed by the results of other studies on HRQoL and depression in adults [59]. In addition, the results of our study are in line with previous findings that depression is associated with increased comorbidity [47, 60]. More than half (52.8%) of our PTSD-positive patients showed depressive symptoms. This is again in line with results from the literature, according to which about half of the patients with PTSD also suffer from depression [61, 62]. The prevalence of anxiety was 20.5% in the entire patient cohort, which is more than two times higher than that in the general population [63]. However, the anxiety prevalence did not differ between the groups. Consistent with the literature [5, 64–66], concurrent depression was common in patients with anxiety, which again confirmed the need to treat depression in people with anxiety after MI, TIA and stroke. Half of our PTSD-positive patients had anxiety symptoms. This is not surprising, as PTSD appears to be a common comorbidity of anxiety disorder [58, 67]. Our three patient groups developed adaptive and maladaptive coping after MI, TIA and stroke equally. Multiple comparisons of the three patient groups did not show any significant differences between the coping strategies. In the literature, most negative life events appear to elicit both types of coping strategies [68]. The maladaptive coping style did not predict the development of PTSD, which is in contradiction to the few results in other studies [69]. In our patients, we observed significant differences in adaptive coping only between those who additionally had anxiety, depression or PTSD and patients who did not develop these symptoms. Consistent with other studies [45, 70], we found that the more our patients used adaptive coping strategies, the higher the mental HRQoL they were able to achieve, and this association was significant. In addition, patients with a higher depression score showed both significantly less adaptive coping ability and significantly more maladaptive coping ability. This finding is supported by numerous studies [71–73]. Nevertheless, regulatory and coping strategies are not consistently beneficial or maladaptive in response to stressful events [74]. There is evidence that some of the coping strategies can be both adaptive and maladaptive [75, 76]. In patients with chronic life stressors Waugh et al. found that positive distraction was related to higher well-being and positive emotions, and fewer depressive symptoms especially when controlling for avoidance. Thus, positive distraction can be an adaptive disengagement coping strategy for chronic stressors [75]. Wolgast and Lundh suggest that distraction may be either adaptive or maladaptive, depending on whether it is combined with an attitude of acceptance or avoidance [76].
Our findings need to be interpreted cautiously due to the overall small sample size. Particularly the low number of TIA patients makes it difficult to make inferences about the minority of patients in this small group who have elevated PTSD symptoms. Our findings should be further evaluated in larger prospective studies. Thus, the comparison of three different patient groups up to five years after ictus can only provide limited findings. Due to the study design severe cases of stroke and MI might be underrepresented. Moreover, the cross-sectional design is a limitation of our study. A prospective rather than a cross-sectional study design would require to assess changes in coping styles and PTSD symptoms over time. Additionally, there are differences in DSM-IV and DSM-5 regarding medical events that may be considered traumatic. These differences have to be taken into account when interpreting our findings on PTSD. Another limitation of our study is that the exact time between the health event (i.e., stroke, TIA, MI) and the time of the survey was not recorded. The length of time between ictus and interview could have an influence on the results. Still, we were able to examine an unselected outpatient population with a comprehensive clinical and neuropsychological assessment.
Conclusion
To conclude, the prevalence of chronic PTSD in MI, TIA and stroke patients was 23.2%. The experience of an MI, a TIA or a stroke increased the risk of developing chronic PTSD and associated depression, anxiety, maladaptive coping and reduced HRQoL. We found that adaptive coping was positively related to mental HRQoL and negatively related to anxiety and depression. By contrast, variables such as age, sex, marital status, number of children, level of education, duration of illness and maladaptive coping do not seem to play a role in any of our patient cohorts. The severity of the somatic disease was not related to the development of PTSD, depression, anxiety or physical HRQoL.
Physicians should have comprehensive knowledge of the frequency and risk factors of chronic PTSD to identify PTSD symptoms at an early stage after MI, TIA or stroke.
Based on our recent findings, we recommend a structured and standardized screening for PTSD and PTSD-like symptoms in the named high-risk groups, which, in ideal circumstances, should start in parallel with somatic treatment and be followed by specific psychological treatments as needed.
Acknowledgements
Parts of the manuscript are from Aurora Dollenberg’s doctoral thesis for obtaining the Dr. med. Degree.
Abbreviations
- TIA
transient ischemic attack
- MI
myocardial infarction
- PTSD
post-traumatic stress disorder
- ICD
International Classification of Diseases
- HRQoL
health-related quality of life
- DSM-5
Diagnostic and Statistical Manual of Mental Disorders fifth edition
- e.g.
exempli gratia, for example
- PC-PTSD
Primary Care Checklist for post-traumatic stress disorder
- CAPS-5
Clinician-Administered post-traumatic stress disorder Scale for Diagnostic and Statistical Manual of Mental Disorders fifth edition
- COPE
Coping Strategies Inventory
- HADS
Hospital Anxiety and Depression Scale
- SF-12
Short Form 12 Health Survey
- GRACE score
Global Registry of Acute Coronary Events Score
- mNIHSS
Modified National Institutes of Health Stroke Scale
- DEGS98
German health interview and examination survey for adults
- ANOVA
analysis of variance
- SPSS
Statistical Package for the Social Sciences
- COPE-A
adaptive coping
- COPE-M
maladaptive coping.
- PCS
physical component summary
- MCS
mental component summary
Authors’ contributions
SM and HHOM wrote the final draft of the manuscript. AD and HHOM collected the data. AD and FH performed the statistics. CL, RW, APL, AP, JMG and FH critically reviewed and improved the manuscript. All authors have read and approved the manuscript.
Funding
No special funding was provided for this research. Open Access funding enabled and organized by Projekt DEAL.
Availability of data and materials
The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
The study was approved by the Ethics Committee of the University of Oldenburg (169/2016) and performed in accordance with the ethical standards as set forth in the Declaration of Helsinki and its later amendments.
All subjects gave their written informed consent prior to their voluntary participation in the study.
Consent for publication
Not Applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Aurora Dollenberg and Sebastian Moeller contributed equally to this work.
Contributor Information
Aurora Dollenberg, Email: info@praxis-dollenberg.de.
Sebastian Moeller, Email: sebastian-moeller@gmx.net.
Caroline Lücke, Email: caromoel@gmx.de.
Ruihao Wang, Email: ruihao.wang@uk-erlangen.de.
Alexandra P. Lam, Email: alexandra.lam@ukbonn.de
Alexandra Philipsen, Email: alexandra.philipsen@ukbonn.de.
Jürgen M. Gschossmann, Email: Juergen.Gschossmann@klinikum-forchheim.de
Falk Hoffmann, Email: falk.hoffmann@uni-oldenburg.de.
Helge H. O. Müller, Email: Helge.Mueller@uni-wh.de
References
- 1.Perk J, De Backer G, Gohlke H, Graham I, Reiner Z, Verschuren M, Albus C, Benlian P, Boysen G, Cifkova R et al: European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). The fifth joint task force of the European Society of Cardiology and Other Societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur Heart J 2012, 33(13):1635–1701. [DOI] [PubMed]
- 2.Ayerbe L, Ayis S, Wolfe CD, Rudd AG. Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis. Br J Psychiatry. 2013;202(1):14–21. doi: 10.1192/bjp.bp.111.107664. [DOI] [PubMed] [Google Scholar]
- 3.Robinson RG, Jorge RE. Post-stroke depression: a review. Am J Psychiatry. 2016;173(3):221–231. doi: 10.1176/appi.ajp.2015.15030363. [DOI] [PubMed] [Google Scholar]
- 4.Jorgensen TS, Wium-Andersen IK, Wium-Andersen MK, Jorgensen MB, Prescott E, Maartensson S, Kragh-Andersen P, Osler M. Incidence of depression after stroke, and associated risk factors and mortality outcomes, in a large cohort of Danish patients. JAMA Psychiatry. 2016;73(10):1032–1040. doi: 10.1001/jamapsychiatry.2016.1932. [DOI] [PubMed] [Google Scholar]
- 5.Ayerbe L, Ayis S, Rudd AG, Heuschmann PU, Wolfe CD. Natural history, predictors, and associations of depression 5 years after stroke: the South London stroke register. Stroke. 2011;42(7):1907–1911. doi: 10.1161/STROKEAHA.110.605808. [DOI] [PubMed] [Google Scholar]
- 6.Kiphuth IC, Utz KS, Noble AJ, Kohrmann M, Schenk T. Increased prevalence of posttraumatic stress disorder in patients after transient ischemic attack. Stroke. 2014;45(11):3360–3366. doi: 10.1161/STROKEAHA3113004459. [DOI] [PubMed] [Google Scholar]
- 7.Edmondson D, Richardson S, Falzon L, Davidson KW, Mills MA, Neria Y. Posttraumatic stress disorder prevalence and risk of recurrence in acute coronary syndrome patients: a meta-analytic review. PLoS One. 2012;7(6):e38915. doi: 10.1371/journal.pone.0038915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.von Känel R, Hari R, Schmid JP, Wiedemar L, Guler E, Barth J, Saner H, Schnyder U, Begré S. Non-fatal cardiovascular outcome in patients with posttraumatic stress symptoms caused by myocardial infarction. J Cardiol. 2011;58(1):61–68. doi: 10.1016/j.jjcc.2011.02.007. [DOI] [PubMed] [Google Scholar]
- 9.Edmondson D, Rieckmann N, Shaffer JA, Schwartz JE, Burg MM, Davidson KW, Clemow L, Shimbo D, Kronish IM. Posttraumatic stress due to an acute coronary syndrome increases risk of 42-month major adverse cardiac events and all-cause mortality. J Psychiatr Res. 2011;45(12):1621–1626. doi: 10.1016/j.jpsychires.2011.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kubzansky LD, Koenen KC, Spiro A, 3rd, Vokonas PS, Sparrow D. Prospective study of posttraumatic stress disorder symptoms and coronary heart disease in the normative aging study. Arch Gen Psychiatry. 2007;64(1):109–116. doi: 10.1001/archpsyc.64.1.109. [DOI] [PubMed] [Google Scholar]
- 11.Doerfler LA, Paraskos JA, Piniarski L. Relationship of quality of life and perceived control with posttraumatic stress disorder symptoms 3 to 6 months after myocardial infarction. J Cardpulm Rehabil. 2005;25(3):166–172. doi: 10.1097/00008483-200505000-00008. [DOI] [PubMed] [Google Scholar]
- 12.Shemesh E, Yehuda R, Milo O, Dinur I, Rudnick A, Vered Z, Cotter G. Posttraumatic stress, nonadherence, and adverse outcome in survivors of a myocardial infarction. Psychosom Med. 2004;66(4):521–526. doi: 10.1097/01.psy.0000126199.05189.86. [DOI] [PubMed] [Google Scholar]
- 13.Roberge MA, Dupuis G, Marchand A. Post-traumatic stress disorder following myocardial infarction: prevalence and risk factors. Can J Cardiol. 2010;26(5):e170–e175. doi: 10.1016/S0828-282X(10)70386-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ayers S, Copland C, Dunmore E. A preliminary study of negative appraisals and dysfunctional coping associated with post-traumatic stress disorder symptoms following myocardial infarction. Br J Health Psychol. 2009;14(Pt 3):459–471. doi: 10.1348/135910708X349343. [DOI] [PubMed] [Google Scholar]
- 15.Merriman C, Norman P, Barton J. Psychological correlates of PTSD symptoms following stroke. Psychol Health Med. 2007;12(5):592–602. doi: 10.1080/13548500601162747. [DOI] [PubMed] [Google Scholar]
- 16.Tengs TO, Yu M, Luistro E. Health-related quality of life after stroke a comprehensive review. Stroke. 2001;32(4):964–972. doi: 10.1161/01.STR.32.4.964. [DOI] [PubMed] [Google Scholar]
- 17.Bruggimann L, Annoni JM, Staub F, von Steinbüchel N, Van der Linden M, Bogousslavsky J. Chronic posttraumatic stress symptoms after nonsevere stroke. Neurology. 2006;66(4):513–516. doi: 10.1212/01.wnl.0000194210.98757.49. [DOI] [PubMed] [Google Scholar]
- 18.Kronish IM, Edmondson D, Goldfinger JZ, Fei K, Horowitz CR. Posttraumatic stress disorder and adherence to medications in survivors of strokes and transient ischemic attacks. Stroke. 2012;43(8):2192–2197. doi: 10.1161/STROKEAHA.112.655209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Goldfinger JZ, Edmondson D, Kronish IM, Fei K, Balakrishnan R, Tuhrim S, Horowitz CR. Correlates of post-traumatic stress disorder in stroke survivors. Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association. 2014;23(5):1099–1105. doi: 10.1016/j.jstrokecerebrovasdis.2013.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Noble AJ, Baisch S, Mendelow AD, Allen L, Kane P, Schenk T. Posttraumatic stress disorder explains reduced quality of life in subarachnoid hemorrhage patients in both the short and long term. Neurosurgery. 2008;63(6):1095–1104. doi: 10.1227/01.NEU.0000327580.91345.78. [DOI] [PubMed] [Google Scholar]
- 21.Ginzburg K, Ein-Dor T. Posttraumatic stress syndromes and health-related quality of life following myocardial infarction: 8-year follow-up. Gen Hosp Psychiatry. 2011;33(6):565–571. doi: 10.1016/j.genhosppsych.2011.08.015. [DOI] [PubMed] [Google Scholar]
- 22.Abbas CC, Schmid JP, Guler E, Wiedemar L, Begré S, Saner H, Schnyder U, von Känel R. Trajectory of posttraumatic stress disorder caused by myocardial infarction: a two-year follow-up study. Int J Psychiatry Med. 2009;39(4):359–376. doi: 10.2190/PM.39.4.b. [DOI] [PubMed] [Google Scholar]
- 23.MacDonald BK, Cockerell OC, Sander JW, Shorvon SD. The incidence and lifetime prevalence of neurological disorders in a prospective community-based study in the UK. Brain. 2000;123(Pt 4):665–676. doi: 10.1093/brain/123.4.665. [DOI] [PubMed] [Google Scholar]
- 24.Edmondson D, Richardson S, Fausett JK, Falzon L, Howard VJ, Kronish IM. Prevalence of PTSD in survivors of stroke and transient ischemic attack: a meta-analytic review. PLoS One. 2013;8(6):e66435. doi: 10.1371/journal.pone.0066435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Musey PI, Jr, Schultebraucks K, Chang BP. Stressing out about the heart: a narrative review of the role of psychological stress in acute cardiovascular events. Acad Emerg Med Off J Soc Acad Emerg Med. 2020;27(1):71–79. doi: 10.1111/acem.13882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Garton A, Gupta VP, Pucci JU, Couch CK, Connolly ES., Jr Incidence and predictors of post-traumatic stress symptoms in a cohort of patients with intracerebral hemorrhage. Clin Neurol Neurosurg. 2020;190:105657. doi: 10.1016/j.clineuro.2019.105657. [DOI] [PubMed] [Google Scholar]
- 27.Müller HHO, Czwalinna K, Wang R, Lücke C, Lam AP, Philipsen A, et al. Occurence of Post-traumatic stress symptoms, anxiety and depression in the acute phase of transient ischemic attack and stroke. Psychiat Quart. 2021. 10.1007/s11126-020-09873-9. [DOI] [PMC free article] [PubMed]
- 28.Reverté-Villarroya S, Dávalos A, Font-Mayolas S, Berenguer-Poblet M, Sauras-Colón E, López-Pablo C, et al. Coping Strategies, Quality of Life, and Neurological Outcome in Patients Treated with Mechanical Thrombectomy after an Acute Ischemic Stroke. Int J Environ Res Public Health. 2020:17(17). [DOI] [PMC free article] [PubMed]
- 29.Kroemeke A. Changes in well-being after myocardial infarction: does coping matter? Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation. 2016;25(10):2593–2601. doi: 10.1007/s11136-016-1286-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gerrity MS, Corson K, Dobscha SK. Screening for posttraumatic stress disorder in VA primary care patients with depression symptoms. J Gen Intern Med. 2007;22(9):1321–1324. doi: 10.1007/s11606-007-0290-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Schnyder U, Müller J, Morina N, Schick M, Bryant RA, Nickerson A. A comparison of DSM-5 and DSM-IV diagnostic criteria for posttraumatic stress disorder in traumatized refugees. J Trauma Stress. 2015;28(4):267–274. doi: 10.1002/jts.22023. [DOI] [PubMed] [Google Scholar]
- 32.Spies JP, Woud ML, Kessler H, Rau H, Willmund GD, Köhler K, Herpertz S, Blackwell SE, Bovin M, Marx BP, Cwik JC. Psychometric properties of the German version of the clinician-administered PTSD scale for DSM-5 (CAPS-5) in clinical routine settings: study design and protocol of a multitrait-multimethod study. BMJ Open. 2020;10(6):e036078. doi: 10.1136/bmjopen-2019-036078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Rae Olmsted KL, Bartoszek M, Mulvaney S, McLean B, Turabi A, Young R, Kim E, Vandermaas-Peeler R, Morgan JK, Constantinescu O, et al. Effect of stellate ganglion block treatment on posttraumatic stress disorder symptoms: a randomized clinical trial. JAMA Psychiatry. 2019;77(2):1–9. doi: 10.1001/jamapsychiatry.2019.3474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, Bullinger M, Kaasa S, Leplege A, Prieto L, Sullivan M. Cross-validation of item selection and scoring for the SF-12 health survey in nine countries: results from the IQOLA project. International quality of life assessment. J Clin Epidemiol. 1998;51(11):1171–1178. doi: 10.1016/S0895-4356(98)00109-7. [DOI] [PubMed] [Google Scholar]
- 35.Bullinger M. German translation and psychometric testing of the SF-36 Health Survey: preliminary results from the IQOLA Project. International Quality of Life Assessment. Social Science & Medicine (1982) 1995;41(10):1359–1366. doi: 10.1016/0277-9536(95)00115-N. [DOI] [PubMed] [Google Scholar]
- 36.Snaith RP. The hospital anxiety and depression scale. Health Qual Life Outcomes. 2003;1(1):29. doi: 10.1186/1477-7525-1-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x. [DOI] [PubMed] [Google Scholar]
- 38.Pozzi G, Frustaci A, Tedeschi D, Solaroli S, Grandinetti P, Di Nicola M, Janiri L. Coping strategies in a sample of anxiety patients: factorial analysis and associations with psychopathology. Brain Behavior. 2015;5(8):e00351. doi: 10.1002/brb3.351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Fox KA, Fitzgerald G, Puymirat E, Huang W, Carruthers K, Simon T, Coste P, Monsegu J, Gabriel Steg P, Danchin N, et al. Should patients with acute coronary disease be stratified for management according to their risk? Derivation, external validation and outcomes using the updated GRACE risk score. BMJ Open. 2014;4(2):e004425. doi: 10.1136/bmjopen-2013-004425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Granger CB, Goldberg RJ, Dabbous O, Pieper KS, Eagle KA, Cannon CP, Van De Werf F, Avezum A, Goodman SG, Flather MD, et al. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med. 2003;163(19):2345–2353. doi: 10.1001/archinte.163.19.2345. [DOI] [PubMed] [Google Scholar]
- 41.Kasner SE, Cucchiara BL, McGarvey ML, Luciano JM, Liebeskind DS, Chalela JA. Modified National Institutes of Health stroke scale can be estimated from medical records. Stroke. 2003;34(2):568–570. doi: 10.1161/01.STR.0000052630.11159.25. [DOI] [PubMed] [Google Scholar]
- 42.Neuner B, Miller PM, Felsmann B, Weiss-Gerlach E, Neumann T, Wernecke KD, Spies C. Health-related quality of life in urban surgical emergency department patients: comparison with a representative German population sample. Health Qual Life Outcomes. 2005;3(1):77. doi: 10.1186/1477-7525-3-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Moor I, Günther S, Knöchelmann A, Hoebel J, Pförtner TK, Lampert T, Richter M. Educational inequalities in subjective health in Germany from 1994 to 2014: a trend analysis using the German socio-economic panel study (GSOEP) BMJ Open. 2018;8(6):e019755. doi: 10.1136/bmjopen-2017-019755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.van Mierlo ML, Schröder C, van Heugten CM, Post MW, de Kort PL, Visser-Meily JM. The influence of psychological factors on health-related quality of life after stroke: a systematic review. International Journal of Stroke : Official Journal of the International Stroke Society. 2014;9(3):341–348. doi: 10.1111/ijs.12149. [DOI] [PubMed] [Google Scholar]
- 45.Lo Buono V, Corallo F, Bramanti P, Marino S. Coping strategies and health-related quality of life after stroke. J Health Psychol. 2017;22(1):16–28. doi: 10.1177/1359105315595117. [DOI] [PubMed] [Google Scholar]
- 46.Olliges E, Burgdorf C, Ladwig KH, Moeller C, Deftu-Kloes D, Pohl S, et al. Psychosocial and physical long-term outcome in patients with a history of takotsubo cardiomyopathy or myocardial infarction - a multi-centered case control study. Psychol Health Med. 2020:1–15. [DOI] [PubMed]
- 47.Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jonsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, et al. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011;21(9):655–679. doi: 10.1016/j.euroneuro.2011.07.018. [DOI] [PubMed] [Google Scholar]
- 48.Edmondson D. An enduring somatic threat model of posttraumatic stress disorder due to acute life-threatening medical events. Soc Personal Psychol Compass. 2014;8(3):118–134. doi: 10.1111/spc3.12089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Sheldrick R, Tarrier N, Berry E, Kincey J. Post-traumatic stress disorder and illness perceptions over time following myocardial infarction and subarachnoid haemorrhage. Br J Health Psychol. 2006;11(Pt 3):387–400. doi: 10.1348/135910705X71434. [DOI] [PubMed] [Google Scholar]
- 50.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 (Clinical Research Ed) 1996;312(7040):1191–1194. doi: 10.1136/bmj.312.7040.1191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Jacobi F, Klose M, Wittchen HU. Mental disorders in the community: healthcare utilization and disability days. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz. 2004;47(8):736–744. doi: 10.1007/s00103-004-0885-5. [DOI] [PubMed] [Google Scholar]
- 52.Loubinoux I, Kronenberg G, Endres M, Schumann-Bard P, Freret T, Filipkowski RK, Kaczmarek L, Popa-Wagner A. Post-stroke depression: mechanisms, translation and therapy. J Cell Mol Med. 2012;16(9):1961–1969. doi: 10.1111/j.1582-4934.2012.01555.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Robinson RG, Spalletta G. Poststroke depression: a review. Can J Psychiatry. 2010;55(6):341–349. doi: 10.1177/070674371005500602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Hackett ML, Anderson CS. Predictors of depression after stroke: a systematic review of observational studies. Stroke. 2005;36(10):2296–2301. doi: 10.1161/01.STR.0000183622.75135.a4. [DOI] [PubMed] [Google Scholar]
- 55.Broomfield NM, Quinn TJ, Abdul-Rahim AH, Walters MR, Evans JJ. Depression and anxiety symptoms post-stroke/TIA: prevalence and associations in cross-sectional data from a regional stroke registry. BMC Neurol. 2014;14(1):198. doi: 10.1186/s12883-014-0198-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Spalletta G, Robinson RG. How should depression be diagnosed in patients with stroke? Acta Psychiatr Scand. 2010;121(6):401–403. doi: 10.1111/j.1600-0447.2010.01569.x. [DOI] [PubMed] [Google Scholar]
- 57.El Husseini N, Goldstein LB, Peterson ED, Zhao X, Pan W, Olson DM, Zimmer LO, Williams JW, Jr, Bushnell C, Laskowitz DT. Depression and antidepressant use after stroke and transient ischemic attack. Stroke. 2012;43(6):1609–1616. doi: 10.1161/STROKEAHA.111.643130. [DOI] [PubMed] [Google Scholar]
- 58.Zhang S, Xu M, Liu ZJ, Feng J, Ma Y. Neuropsychiatric issues after stroke: clinical significance and therapeutic implications. World J Psychiatry. 2020;10(6):125–138. doi: 10.5498/wjp.v10.i6.125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Jia H, Zack MM, Thompson WW, Crosby AE, Gottesman II. Impact of depression on quality-adjusted life expectancy (QALE) directly as well as indirectly through suicide. Soc Psychiatry Psychiatr Epidemiol. 2015;50(6):939–949. doi: 10.1007/s00127-015-1019-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Katon W, Ciechanowski P. Impact of major depression on chronic medical illness. J Psychosom Res. 2002;53(4):859–863. doi: 10.1016/S0022-3999(02)00313-6. [DOI] [PubMed] [Google Scholar]
- 61.Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson CB. Posttraumatic stress disorder in the National Comorbidity Survey. Arch Gen Psychiatry. 1995;52(12):1048–1060. doi: 10.1001/archpsyc.1995.03950240066012. [DOI] [PubMed] [Google Scholar]
- 62.Rytwinski NK, Scur MD, Feeny NC, Youngstrom EA. The co-occurrence of major depressive disorder among individuals with posttraumatic stress disorder: a meta-analysis. J Trauma Stress. 2013;26(3):299–309. doi: 10.1002/jts.21814. [DOI] [PubMed] [Google Scholar]
- 63.Somers JM, Goldner EM, Waraich P, Hsu L. Prevalence and incidence studies of anxiety disorders: a systematic review of the literature. Can J Psychiatry. 2006;51(2):100–113. doi: 10.1177/070674370605100206. [DOI] [PubMed] [Google Scholar]
- 64.Campbell Burton CA, Murray J, Holmes J, Astin F, Greenwood D, Knapp P. Frequency of anxiety after stroke: a systematic review and meta-analysis of observational studies. International Journal of Stroke : Official Journal of the International Stroke Society. 2013;8(7):545–559. doi: 10.1111/j.1747-4949.2012.00906.x. [DOI] [PubMed] [Google Scholar]
- 65.Kumar M, Nayak PK. Psychological sequelae of myocardial infarction. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie. 2017;95:487–496. doi: 10.1016/j.biopha.2017.08.109. [DOI] [PubMed] [Google Scholar]
- 66.Stein LA, Goldmann E, Zamzam A, Luciano JM, Messé SR, Cucchiara BL, Kasner SE, Mullen MT. Association between anxiety, depression, and Post-traumatic stress disorder and outcomes after ischemic stroke. Front Neurol. 2018;9:890. doi: 10.3389/fneur.2018.00890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Auxéméry Y. Post-traumatic psychiatric disorders: PTSD is not the only diagnosis. Presse medicale (Paris, France : 1983) 2018;47(5):423–430. doi: 10.1016/j.lpm.2017.12.006. [DOI] [PubMed] [Google Scholar]
- 68.Holahan CJ, Moos RH. Personal and contextual determinants of coping strategies. J Pers Soc Psychol. 1987;52(5):946–955. doi: 10.1037/0022-3514.52.5.946. [DOI] [PubMed] [Google Scholar]
- 69.Sharkansky EJ, King DW, King LA, Wolfe J, Erickson DJ, Stokes LR. Coping with gulf war combat stress: mediating and moderating effects. J Abnorm Psychol. 2000;109(2):188–197. doi: 10.1037/0021-843X.109.2.188. [DOI] [PubMed] [Google Scholar]
- 70.Visser MM, Aben L, Heijenbrok-Kal MH, Busschbach JJ, Ribbers GM. The relative effect of coping strategy and depression on health-related quality of life in patients in the chronic phase after stroke. J Rehabil Med. 2014;46(6):514–519. doi: 10.2340/16501977-1803. [DOI] [PubMed] [Google Scholar]
- 71.Rappaport LM, Moskowitz DS, D'Antono B. Depression symptoms moderate the association between emotion and communal behavior. J Couns Psychol. 2017;64(3):269–279. doi: 10.1037/cou0000194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Berking M, Wirtz CM, Svaldi J, Hofmann SG. Emotion regulation predicts symptoms of depression over five years. Behav Res Ther. 2014;57:13–20. doi: 10.1016/j.brat.2014.03.003. [DOI] [PubMed] [Google Scholar]
- 73.Radkovsky A, McArdle JJ, Bockting CL, Berking M. Successful emotion regulation skills application predicts subsequent reduction of symptom severity during treatment of major depressive disorder. J Consult Clin Psychol. 2014;82(2):248–262. doi: 10.1037/a0035828. [DOI] [PubMed] [Google Scholar]
- 74.Bonanno GA, Burton CL. Regulatory flexibility: an individual differences perspective on coping and emotion regulation. Perspectives on Psychological Science : a Journal of the Association for Psychological Science. 2013;8(6):591–612. doi: 10.1177/1745691613504116. [DOI] [PubMed] [Google Scholar]
- 75.Waugh CE, Shing EZ, Furr RM. Not all disengagement coping strategies are created equal: positive distraction, but not avoidance, can be an adaptive coping strategy for chronic life stressors. Anxiety Stress Coping. 2020;33(5):511–529. doi: 10.1080/10615806.2020.1755820. [DOI] [PubMed] [Google Scholar]
- 76.Wolgast M, Lundh LG. Is distraction an adaptive or maladaptive strategy for emotion regulation? A person-oriented approach. J Psychopathol Behav Assess. 2017;39(1):117–127. doi: 10.1007/s10862-016-9570-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.