Effectiveness and feasibility of structured emotionally focused family therapy for parents and adolescents: Protocol of a within-subjects pilot study.

Mental health issues are widespread among children and adolescents worldwide. Although mental health difficulties may manifest themselves in many different diagnoses, there is growing support for a limited number of underlying transdiagnostic processes. Attachment encompasses a key transdiagnostic mechanism, namely emotional regulation. This study protocol aims to evaluate the feasibility and potential effectiveness of structured emotionally focused family therapy (EFFT), the goal of which is to develop secure attachment between parents and their children to reduce children's vulnerability to mental health problems. A within-subjects design with three waves, a waiting period, treatment, and follow-up, will be conducted. Families will serve as their own controls. Approximately 15 to 20 families with adolescents (aged 12-18 years) as the 'identified patients' will be included. They will participate in 16-21 sessions of EFFT. The study will use a multi-method approach. Self-report questionnaires will be administered repeatedly (i.e., pre-waiting period, pre-treatment, halfway treatment, post-treatment, and follow-up), measuring parent-adolescent attachment, partner-partner attachment, negative interactions, and adolescent psychological complaints. Multi-level analyses will be conducted. Semi-structured interviews will be administered at follow-up to evaluate feasibility and acceptability of EFFT. Treatment integrity will be assessed. The present study is the first to evaluate feasibility of structured EFFT and obtain a first impression of its effectiveness. This information will help us to improve EFFT. Limitations are discussed. Trial registration: Recruitment commenced in June 2022. The approximate trial duration is 36 months. The trial was registered at ClinicalTrials.gov (NCT05657067) on December 9, 2022, and Open Science Framework (https://osf.io/39dt2/) on June 14, 2022.

Do high-risk couples profit more or less from couple relationship education programs than low-risk couples? Room for improvement and vulnerability effects.

In recent years it has been discussed whether high-risk couples benefit more from Couple Relationship Education programs (CREs) than low-risk couples due to larger room for improvement, or profit less due to greater vulnerability. Pertinent response prediction studies yielded inconclusive results. Careful review suggests this may be due to: statistical handling (not disentangling room for improvement and vulnerability effects), time frame analyzed (not disentangling opposing effects during intervention and follow-up), sampling, and selection of risk factors. We used an analytic strategy that maximized odds for replicability and tested two hypotheses: (1) room for improvement: pre-intervention relationship dissatisfaction predicts gain in satisfaction during intervention, and decline during follow up, and (2) vulnerability: when adjusted for room for improvement (pre-intervention relationship dissatisfaction), risk factors show negative or negligible, but no positive associations with gain in satisfaction. Actor-Partner Interdependence Modeling (APIM) was employed in 79 self-referred (SR) couples and 50 clinician-referred (CR) couples who had completed the 'Hold me Tight' program, a CRE based on Emotionally Focused Couple Therapy. Our findings supported both the room for improvement hypothesis, with pre-intervention dissatisfaction predicting more gain during intervention (both samples) and decline during follow-up (SR sample, for the CR sample the effect was negligible), and the vulnerability hypothesis, as several negative, but no positive effects of risk factors were observed during intervention and follow-up. Specific risk factors did not replicate between samples. To promote replicable results in future research, we advocate disentangling room for improvement and vulnerability effects, separately testing effects during intervention and follow-up, purposeful sampling, and studying a large set of risk factors including partner variables.

Satisfying and stable couple relationships: Attachment similarity across partners can partially buffer the negative effects of attachment insecurity.

Insecure attachment in couples is negatively associated with relationship functioning. Similarity of partner attachment on the other hand might attenuate such relationship outcomes. We tested the opposing insecurity and similarity hypotheses by examining associations of attachment with relationship satisfaction and instability in a representative community sample of couples (N = 1,014). We expected: (a) negative effects of insecure attachment (main effects of actor and partner avoidance and anxiety, and interaction effects consistent with fearful-avoidance and demand-withdraw patterns); and (b) positive effects of similarity in avoidance and anxiety. Actor-Partner-Interdependence Models showed clear support for the insecurity hypothesis. Main effects of avoidance and anxiety, explained 46.2% of the variance of satisfaction, and 17.9% of instability. We conclude that reducing insecurity of attachment, in particular avoidance, must be a central target in couple therapy. Interestingly, similarity of attachment can partially buffer the negative effects of attachment insecurity. Clinical implications are discussed.

Effectiveness of the 'Hold me Tight' Relationship Enhancement Program in a Self-referred and a Clinician-referred Sample: An Emotionally Focused Couples Therapy-Based Approach.

While evidence-based couple therapies are available, only a minority of troubled couples seek help and they often do this too late. To reach more couples earlier, the couple relationship education (CRE) group program "Hold me Tight" (HmT) based on Emotionally Focused Couples Therapy (EFCT) was developed. This study is the first to examine the effectiveness of HmT. Using a three-wave (waiting period, treatment, and follow-up) within-subject design, HmT was delivered to 79 self-referred couples and 50 clinician-referred couples. We applied a comprehensive outcome measure battery. Our main findings were that (1) self-referred couples significantly improved during HmT on all measures, that is relationship satisfaction, security of partner-bond, forgiveness, daily coordination, maintenance behavior, and psychological complaints, with a moderate-to-large mean effect size (d = .63), which was maintained (d = .57) during the 3.5 month follow-up; (2) in clinician-referred couples, who were vulnerable in terms of insecure attachment status and psychopathology, the improvement during HmT was moderate (d = .42), but this was reduced during the 3.5-month follow-up to a small effect (d = .22); (3) emotional functioning (typical HmT target) as well as behavioral functioning (typical Behavioral Couples Therapy-based CRE target) improved during HmT; and (4) individual psychological complaints, although not specifically targeted, were reduced during HmT. These findings suggest that HmT is a promising intervention for enhancement of relationship functioning. Clinical implications are discussed.

Adult attachment predicts the seven-year course of recurrent depression in primary care.

BACKGROUND: Attachment theory posits that attachment has a persistent, long-term impact on depression. Empirical data on associations between adult attachment and the long-term course of depression is, however, scarce. The present study addresses this omission. METHOD: Primary care patients with a history of depression (n = 103) completed the Experiences in Close Relationships questionnaire measuring adult attachment dimensions (avoidance and anxiety) and styles (secure, preoccupied, dismissing and fearful). The subsequent seven-year course of depression was assessed with the face-to-face administered Composite International Diagnostic Interview (CIDI) and a life-chart interview based on the Longitudinal Interval Follow-up Evaluation (LIFE). At the end of the seven-year follow-up severity of depression was additionally measured with the Beck Depression Inventory (BDI). RESULTS: The attachment dimensions avoidance and anxiety both showed significant associations during the seven-year course with lower proportions of depressive symptom-free time and higher severity of depression (LIFE and BDI). The secure style predicted compared to preoccupied attachment a significantly higher proportion of symptom-free time (4.97 vs. 1.10 years), compared to dismissing attachment a higher proportion of symptom-free time (4.97 vs. 2.20 years) and lower severity of depression (LIFE: 1.65 vs. 2.14; BDI 6.04 vs. 9.52), and compared to fearful attachment a lower relapse/recurrence rate (45.7% vs. 76.9%), higher proportions of depression diagnosis-free time (7.31 vs. 6.65 years) and symptom-free time (4.97 vs. 0.29 years), and lower severity of depression (LIFE: 1.65 vs. 2.19; BDI 6.04 vs. 15.54). LIMITATIONS: Sample size was restricted. CONCLUSION: Insecure attachment predicts an unfavorable course of depression over a seven-year period.

Seeing the signs: Using the course of residual depressive symptomatology to predict patterns of relapse and recurrence of major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is characterized by high relapse/recurrence rates. Predicting individual patients' relapse/recurrence risk has proven hard, possibly due to course heterogeneity among patients. This study aimed to (1) identify homogeneous data-driven subgroups with different patterns of relapse/recurrence and (2) identify associated predictors. METHODS: For a year, we collected weekly depressive symptom ratings in 213 primary care MDD patients. Latent class growth analyses (LCGA), based on symptom-severity during the 24 weeks after no longer fulfilling criteria for the initial major depressive episode (MDE), were used to identify groups with different patterns of relapse/recurrence. Associations of baseline predictors with these groups were investigated, as were the groups' associations with 3- and 11-year follow-up depression outcomes. RESULTS: LCGA showed that heterogeneity in relapse/recurrence after no longer fulfilling criteria for the initial MDE was best described by four classes: "quick symptom decline" (14.0%), "slow symptom decline" (23.3%), "steady residual symptoms" (38.7%), and "high residual symptoms" (24.1%). The latter two classes showed lower self-esteem at baseline, and more recurrences and higher severity at 3-year follow-up than the first two classes. Moreover, the high residual symptom class scored higher on neuroticism and lower on extraversion and self-esteem at baseline. Interestingly, the steady residual symptoms and high residual symptoms classes still showed higher severity of depressive symptoms after 11 years. CONCLUSION: Some measures were associated with specific patterns of relapse/recurrence. Moreover, the data-driven relapse/recurrence groups were predictive of long-term outcomes, suggesting that patterns of residual symptoms could be of prognostic value in clinical practice.

The ten-year course of depression in primary care and long-term effects of psychoeducation, psychiatric consultation and cognitive behavioral therapy.

BACKGROUND: While the majority of depressed patients are treated in primary care, long-term follow-up data on the naturalistic course of depression and treatment effectiveness in this setting are scarce. This study examined the ten-year course of depression in primary care patients who had participated in a randomized clinical trial aiming at enhancement of depression outcomes. METHODS: Of the original sample (n=267), 166 patients participated in the ten-year follow-up; missingness was random. Four treatments were compared: (1) Care As Usual (CAU; n=51); (2) a Psychoeducational Prevention program (PEP; n=68); (3) Psychiatric Consultation followed by PEP (PC+PEP; n=21); and (4) brief Cognitive Behavioral Therapy followed by PEP (CBT+PEP; n=26). During the first three years interviews based on the Composite International Diagnostic Interview (CIDI) were three-monthly applied, the seven years thereafter were assessed with a once applied CIDI and a face-to-face life chart-based interview. RESULTS: During the ten-year follow-up 76.5% of the patients developed a new depressive episode, 83.4% used antidepressants (median usage 3.1 years), median depression diagnosis-free time was 9.0 years, and median residual symptom-free time 3.8 years. Treatments did not significantly differ on these outcomes, only trends appeared for lower depression severity for CBT+PEP, and, along with PEP, a higher proportion of symptom-free time. LIMITATIONS: Assessment with the once applied life chart interview (a valid and reliable instrument) is less precise than the three-monthly assessments during the first three years. CONCLUSIONS: The long-term course of depression in primary care is unfavorable, whereas treatment effects over time seem absent or small.

Actor and Partner Effects of Attachment on Relationship Satisfaction and Sexual Satisfaction Across the Genders: An APIM Approach.

Previous studies found gender differences in relationship satisfaction and sexuality. We tested gender differences in associations between attachment, a lasting relationship determinant, and two outcomes, relationship and sexual satisfaction. This study improves on earlier research by examining these associations in one Actor-Partner-Interdependence-Model, making direct statistical testing between outcomes possible. Furthermore, a community and a distressed sample (N = 113 heterosexual couples each) were included to attempt replication across samples and to examine clinical implications. In both genders, actor attachment avoidance negatively affected relationship satisfaction and (with one exception) sexual satisfaction. Also in both genders, partner attachment avoidance negatively affected sexual satisfaction. However, whereas partner attachment avoidance influenced female relationship satisfaction, it did not affect male relationship satisfaction. The findings replicated across samples. Clinical implications are discussed.

Bidirectionality Between Sleep Symptoms and Core Depressive Symptoms and Their Long-Term Course in Major Depression.

OBJECTIVE: To investigate the bidirectional dynamic relationship between sleep symptoms and core depressive symptoms and to identify subgroups differing with respect to their course. METHODS: The weekly state of depressive symptoms in depressed primary care patients (N = 267) was assessed retrospectively every 3 months for 3 consecutive years. The bidirectional relationship between sleep and core symptoms was estimated by means of manifest Markov modeling. Data-driven subgroups were estimated with parallel processes-latent class growth analyses to identify differences in courses of sleep and core symptoms. RESULTS: In total, core symptoms were associated with next-week development (odds = 1.42; 95% confidence interval [CI] = 1.20-1.67; p < .001) and remission of sleep symptoms (odds = 0.86; 95% CI 0.75 to 0.99, p = .033).Evidence was also found for a reverse pathway such that sleep symptoms were associated with the development (odds = 1.26; 95% CI = 1.05-1.50; p = .012) and remission of core symptoms (odds = 0.87; 95% CI = 0.76-0.99; p = .038). Three classes with different 3-year courses were derived. In class 1, the likelihood that core symptoms remitted was reduced if sleep symptoms were present, and symptoms remained present over 3 years. In class 2, symptoms were bidirectionally related and remitted over 3 years. In class 3, symptoms were not associated, and sleep symptoms declined less steeply than core depressive symptoms. CONCLUSIONS: The results suggest that sleep symptoms should be treated alongside core depressive symptoms in patients with an asynchronic decrease of sleep and core symptoms and in patients that do not respond to treatment to increase the chance of complete remission.

Predicting long-term depression outcome using a three-mode principal component model for depression heterogeneity.

BACKGROUND: Depression heterogeneity has hampered development of adequate prognostic models. Therefore, more homogeneous clinical entities (e.g. dimensions, subtypes) have been developed, but their differentiating potential is limited because neither captures all relevant variation across persons, symptoms and time. To address this, three-mode Principal Component Analysis (3MPCA) was previously applied to capture person-, symptom- and time-level variation in a single model (Monden et al., 2015). This study evaluated the added prognostic value of such an integrated model for longer-term depression outcomes. METHODS: The Beck Depression Inventory (BDI) was administered quarterly for two years to major depressive disorder outpatients participating in a randomized controlled trial. A previously developed 3MPCA model decomposed the data into 2 symptom-components ('somatic-affective', 'cognitive'), 2 time-components ('recovering', 'persisting') and 3 person-components ('severe non-persisting depression', 'somatic depression' and 'cognitive depression'). The predictive value of the 3MPCA model for BDI scores at 3-year (n=136) and 11-year follow-up (n=145) was compared with traditional latent variable models and traditional prognostic factors (e.g. baseline BDI component scores, personality). RESULTS: 3MPCA components predicted 41% and 36% of the BDI variance at 3- and 11-year follow-up, respectively. A latent class model, growth mixture model and other known prognostic variables predicted 4-32% and 3-24% of the BDI variance at 3- and 11-year follow-up, respectively. LIMITATIONS: Only primary care patients were included. There was no independent validation sample. CONCLUSION: Accounting for depression heterogeneity at the person-, symptom- and time-level improves longer-term predictions of depression severity, underlining the potential of this approach for developing better prognostic models.

Associations Between Negative and Positive Life Events and the Course of Depression: A Detailed Repeated-Assessments Study.

Although the effects of life events on the onset of depression are well documented, little is known regarding their effects on the course of symptoms in depressed persons. We prospectively examined the associations between negative and positive life events and the course of depressive symptomatology in depressed primary care patients. A total of 267 depressed patients were followed for 3 years using a repeated-assessments design consisting of 36 monthly assessments of the 9 Diagnostic and Statistical Manual of Mental Disorders depression symptoms and positive and negative life events. We examined whether the severity of depressive symptomatology changed directly after the occurrence of a life event. Negative events were not associated with short-term changes in depressive symptomatology. In contrast, positive events were followed by a significant decrease in depressive symptoms one and two months after their occurrence. These findings may translate into emphasis during treatment on engagement in activities that may increase the chance of positive life experiences.

Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time.

BACKGROUND: A defining characteristic of Major Depressive Disorder (MDD) is its episodic course, which might indicate that MDD is a nonlinear dynamic phenomenon with two discrete states. We investigated this hypothesis using the symptom time series of individual patients. METHODS: In 178 primary care patients with MDD, the presence of the nine DSM-IV symptoms of depression was recorded weekly for two years. For each patient, the time-series plots as well as the frequency distributions of the symptoms over 104 weeks were inspected. Furthermore, two indicators of bimodality were obtained: the bimodality coefficient (BC) and the fit of a 1- and a 2-state Hidden Markov Model (HMM). RESULTS: In 66% of the sample, high bimodality coefficients (BC>.55) were found. These corresponded to relatively sudden jumps in the symptom curves and to highly skewed or bimodal frequency distributions. The results of the HMM analyses classified 90% of the symptom distributions as bimodal. CONCLUSIONS: A two-state pattern can be used to describe the course of depression symptoms in many patients. The BC seems useful in differentiating between subgroups of MDD patients based on their life course data.

Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level: The Use of Three-Mode Principal Component Analysis.

Although heterogeneity of depression hinders research and clinical practice, attempts to reduce it with latent variable models have yielded inconsistent results, probably because these techniques cannot account for all interacting sources of heterogeneity at the same time. Therefore, to simultaneously decompose depression heterogeneity on the person-, symptom and time-level, three-mode Principal Component Analysis (3MPCA) was applied to data of 219 Major Depression patients, who provided Beck Depression Inventory assessments every three months for two years. The resulting person-level components were correlated with external baseline clinical and demographic variables. The 3MPCA extracted two symptom-level components ('cognitive', 'somatic-affective'), two time-level components ('improving', 'persisting') and three person-level components, characterized by different interaction-patterns between the symptom- and time-components ('severe non-persisting', 'somatic depression' and 'cognitive depression'). This model explained 28% of the total variance and 65% when also incorporating the general trend in the data). Correlations with external variables illustrated the content differentiation between the person-components. Severe non-persisting depression was positively correlated with psychopathology (r=0.60) and negatively with quality of life (r=-0.50). Somatic depression was negatively correlated with physical functioning (r=-0.45). Cognitive depression was positively correlated with neuroticism (r=0.38) and negatively with self-esteem (r=-0.47). In conclusion, 3MPCA decomposes depression into homogeneous entities, while accounting for the interactions between different sources of heterogeneity, which shows the utility of the technique to investigate the underlying structure of complex psychopathology data and could help future development of better empirical depression subtypes.

Systematic Review and Individual Patient Data Meta-Analysis of Sex Differences in Depression and Prognosis in Persons With Myocardial Infarction: A MINDMAPS Study.

OBJECTIVE: Using combined individual patient data from prospective studies, we explored sex differences in depression and prognosis post-myocardial infarction (MI) and determined whether disease indices could account for found differences. METHODS: Individual patient data analysis of 10,175 MI patients who completed diagnostic interviews or depression questionnaires from 16 prospective studies from the MINDMAPS study was conducted. Multilevel logistic and Cox regression models were used to determine sex differences in prevalence of depression and sex-specific effects of depression on subsequent outcomes. RESULTS: Combined interview and questionnaire data from observational studies showed that 36% (635/1760) of women and 29% (1575/5526) of men reported elevated levels of depression (age-adjusted odds ratio = 0.68, 95% confidence interval [CI] = 0.60-0.77). The risk for all-cause mortality associated with depression was higher in men (hazard ratio = 1.38, 95% CI = 1.30-1.47) than in women (hazard ratio = 1.22, 95% CI = 1.14-1.31; sex by depression interaction: p < .001). Low left ventricular ejection fraction (LVEF) was associated with higher depression scores in men only (sex by LVEF interaction: B = 0.294, 95% CI = 0.090-0.498), which attenuated the sex difference in the association between depression and prognosis. CONCLUSIONS: The prevalence of depression post-MI was higher in women than in men, but the association between depression and cardiac prognosis was worse for men. LVEF was associated with depression in men only and accounted for the increased risk of all-cause mortality in depressed men versus women, suggesting that depression in men post-MI may, in part, reflect cardiovascular disease severity.

Personality modulates the efficacy of treatment in patients with major depressive disorder.

OBJECTIVE: Effects of depression treatment are obscured by heterogeneity among patients. Personality types could be one source of heterogeneity that explains variability in treatment response. Clinically meaningful variations in personality patterns could be captured with data-driven subgroups. The aim of this study was to identify such personality types and to explore their predictive value for treatment efficacy. METHOD: Participants (N = 146) in the current exploratory study came from a randomized controlled trial in primary care depressed patients, conducted between January 1998 and June 2003, comparing different treatments. All participants were diagnosed with a major depressive disorder (MDD) according to the DSM-IV. Primary (care as usual [CAU] or CAU plus a psychoeducational prevention program [PEP]) and specialized (CAU + PEP + psychiatric consultation or cognitive-behavioral therapy) treatment were compared. Personality was assessed with the Neuroticism-Extraversion-Openness Five-Factor Inventory (NEO-FFI). Personality classes were identified with latent profile analysis (LPA). During 1 year, weekly depression ratings were obtained by trimonthly assessment with the Composite International Diagnostic Interview. Mixed models were used to analyze the effects of personality on treatment efficacy. RESULTS: A 2-class LPA solution fit best to the NEO-FFI data: Class 1 (vulnerable, n = 94) was characterized by high neuroticism, low extraversion, and low conscientiousness, and Class 2 (resilient, n = 52) by medium neuroticism and extraversion and higher agreeableness and conscientiousness. Recovery was quicker in the resilient class (class × time: P < .001). Importantly, specialized treatment had added value only in the vulnerable class, in which it was associated with quicker recovery than primary treatment (class × time × treatment: P < .001). CONCLUSIONS: Personality profile may predict whether specialized clinical efforts have added value, showing potential implications for planning of treatments.

Data-driven course trajectories in primary care patients with major depressive disorder.

BACKGROUND: The chronic nature of MDD has been acknowledged as one of the key determinants of the burden associated with depression. Unfortunately, so far described prognostic factors have been inconsistent, possibly due to used course outcomes that are often based on arbitrary criteria/cut-offs. Therefore, the aim of the current study was to use data-driven trajectory groups based on closely spaced weekly severity ratings, as outcomes in prognostic research. METHODS: The sample consisted of primary care patients with MDD (n = 153), who were followed up for a year with 52 consecutive weekly ratings of the nine DSM-IV MDD criterion symptoms. Growth Mixture Modeling (GMM) was used to reduce the interpersonal growth variation to an optimal set of clinically interpretable trajectory groups. Next, baseline course predictors were investigated and the prognostic (added) value of course-group membership was investigated for clinical outcomes after 1, 2, and 3 years. RESULTS: GMM resulted in four trajectory groups: "early remission" (40.2%), "late remission" (9.8%), "remission and recurrence" (17.0%), and "chronic" (33.0%). Multivariate predictors of "chronic" group membership were a prior suicide attempt, comorbid dysthymia, and lower levels of somatic depressive symptoms. Group membership predicted differences in depression severity and/or quality of life after 1, 2, and 3 years. CONCLUSIONS: The used data-driven approach provided a parsimonious and clinically informative way to describe course variation across MDD patients. Using the trajectory groups to investigate prognostic factors of MDD provided insight in potentially useful prognostic factors. Importantly, trajectory-group membership was itself a strong predictor of future mental well-being.

Depression treatment after myocardial infarction and long-term risk of subsequent cardiovascular events and mortality: a randomized controlled trial.

OBJECTIVE: Evaluating the effects of implementing an antidepressant treatment strategy in depressed myocardial infarction (MI)-patients on long-term cardiovascular outcomes and all-cause mortality. METHODS: MI-patients were evaluated for the presence of a diagnosis of post-MI depression at 3, 6, 9 and 12months after hospitalization for MI. A total of 331 depressed MI-patients were randomized to intervention or care-as-usual (CAU). Patients randomized to the intervention were offered several antidepressant treatment options including pharmacological and non-pharmacological therapy. Patients randomized to CAU were not given feedback about their depression status. All patients were free to seek depression treatment outside the study, which was monitored. The primary outcome was a combined endpoint of cardiovascular events and cardiac mortality between randomization and 8years later. All-cause mortality was evaluated as secondary endpoint. RESULTS: The intervention did not reduce the risk of the primary outcome (HR: 0.97 (95% CI: 0.67-1.40) n=330) or all-cause mortality (HR: 0.74 (95% CI: 0.41-1.33) n=330). Regardless of randomization status, patients who received depression treatment (n=168) had reduced all-cause mortality rates compared to those who did not receive treatment (n=143, HR: 0.52 (95% CI: 0.28-0.97)). CONCLUSION: Implementing an antidepressant treatment strategy did not reduce the risk of cardiovascular morbidity and mortality compared to usual care. Receiving depression treatment increased survival. It remains unclear whether this represents a direct treatment effect or is due to unmeasured factors that relate to both receiving depression treatment and mortality, such as patients' intrinsic motivation to care for their health.

Self-reported depressive symptoms, diagnosed clinical depression and cardiac morbidity and mortality after myocardial infarction.

BACKGROUND: Self-reported depressive symptoms and clinical depression after myocardial infarction (MI) are both associated with poor cardiac prognosis. It is important to distinguish between the two when assessing cardiac prognosis, but few studies have done so. The present article evaluates the independent prognostic impact of self-reported depressive symptoms and clinical depression on cardiac outcomes after MI. METHODS: 2704 MI-patients were administered the Beck Depression Inventory (BDI) and underwent the Composite International Diagnostic Interview at 3 months post-MI. All-cause mortality, cardiac mortality and cardiovascular readmissions were evaluated up till 10 years post-MI (mean: 6 years), representing 16,783 persons-years of follow-up. Event-free survival was evaluated using Cox regression analysis. RESULTS: Analyses on mortality and cardiovascular readmissions included 2493 and 2434 patients respectively. Compared to patients scoring <5 on the BDI, those scoring ≥ 19 had age- and sex-adjusted HR's (95% CI) of 3.20 (2.16-4.74, p<0.001) for all-cause mortality, 3.97 (2.06-7.65, p<0.001) for cardiac mortality, and 1.45 (1.08-1.95, p<0.05) for cardiovascular readmissions. Cardiac disease severity and cardiac risk factors explained one third to half of the relationship. The presence of clinical depression was associated with all-cause (HR: 1.72 (1.29-2.30, p<0.001)) and cardiac mortality (HR: 1.67 (1.01-2.77, p<0.05)). However, adjusting for BDI-scores decreased these HR's with 53% and 72% respectively, rendering them non-significant. Dichotomized BDI-scores remained to predict cardiac prognosis independently from the presence of clinical depression. CONCLUSIONS: After MI, self-reported depressive symptoms are a more accurate predictor of cardiac morbidity and mortality than clinical depression. This association is confounded largely by cardiac disease severity.

Symptom profiles of DSM-IV-defined remission, recovery, relapse, and recurrence of depression: the role of the core symptoms.

BACKGROUND: Depression outcomes in research and clinical practice are commonly defined by the concepts of remission, recovery, relapse, and recurrence. Despite their widespread use, there has been little empirical examination of these concepts. Therefore, we investigated profiles of individual symptoms during each of these phases of depression. METHODS: In a 3-year prospective study of 267 depressed primary care patients, we established the presence or absence of the individual DSM-IV depressive symptoms week-by-week during DSM-IV-defined remissions, recoveries, relapses, and recurrences. We measured symptoms in 12 quarterly assessments using the Composite International Diagnostic Interview. RESULTS: Remissions were characterized by double the proportion of time that the core symptoms were present compared to the initial phase of recoveries after a major depressive episode (MDE; 59 versus 32%; Z = -3.03; P = .002). Before a relapse, remissions again showed elevated levels of core symptoms in comparison to the final phase of recoveries before a recurrence (58 versus 26%; Z = -2.99; P = .003). CONCLUSIONS: Compared with the initial and final phases of recoveries, remissions showed a consistently higher level of core symptoms. Clinically, this means that unresolved core symptoms in the direct aftermath of a MDE seem to constitute a risk for relapse and should be the target of preventive or augmented interventions.

Partner attachment as a predictor of long-term response to treatment with couples therapy.

Vulnerability factors such as insecure attachment may have a lasting effect on the outcome of couples therapy, even long after discharge from treatment. Given that attachment has never been examined as an outcome predictor for couples therapy in the long term, the authors studied its effect on outcome during and after couples therapy. This prospective study included 71 inpatients participating in group couples therapy who the authors measured at baseline, immediately posttreatment at 2 months, and at 8 and 20 months, regarding two outcomes: problem-solving capacity (using the Interactional Problem Solving Questionnaire) and psychopathology (using the 90-item Symptom Check List). At baseline, the authors measured partner attachment (using the Experiences in Close Relationships Questionnaire). Mixed model analyses showed that attachment-related dysfunctional working models of self and others predicted less improvement in psychopathology (p = .04) and problem-solving capacity (p = .01), respectively. Special attention to insecure attachment in couples therapy may therefore prove valuable in terms of outcome in the long run.