Evaluating a Comprehensive Model of Euthymia.

INTRODUCTION: In research and treatment of mood disorders, "euthymia" traditionally denotes the absence of clinically significant mood disturbance. A newer, expanded definition of euthymia also includes positive affect and psychological well-being. OBJECTIVE: We aimed to test this comprehensive model of euthymia and estimate the coherence and predictive power of each factor in the model. METHODS: Community-dwelling adults (N = 601), including both mental health outpatients and non-patients at high risk for personality pathology, completed a battery of interviews and questionnaires at time 1. Most (n = 497) were reassessed on average 8 months later (time 2). We modeled euthymia using standard mood, personality, and psychosocial functioning assessments rather than measures designed specifically for euthymia. RESULTS: The hypothesized model of euthymia was supported by confirmatory factor analysis: specific measures loaded on three lower order factors (mood disturbance, positive affect, and psychological well-being) that reflected general euthymia at time 1. Each factor (general euthymia plus lower order factors) demonstrated moderately strong concurrent (time 1) and predictive (time 1-2) correlations with outcomes, including employment status, income, mental health treatment consumption, and disability. Compared to positive affect and psychological well-being, mood disturbance had stronger incremental (i.e., nonoverlapping) relations with these outcomes. CONCLUSIONS: Support for a comprehensive model of euthymia reinforces efforts to improve assessment and treatment of mood and other disorders. Beyond dampening of psychological distress, euthymia-informed treatment goals encompass full recovery, including enjoyment and meaning in life.

Psychotherapy or medication for depression? Using individual symptom meta-analyses to derive a Symptom-Oriented Therapy (SOrT) metric for a personalised psychiatry.

BACKGROUND: Antidepressant medication (ADM) and psychotherapy are effective treatments for major depressive disorder (MDD). It is unclear, however, if treatments differ in their effectiveness at the symptom level and whether symptom information can be utilised to inform treatment allocation. The present study synthesises comparative effectiveness information from randomised controlled trials (RCTs) of ADM versus psychotherapy for MDD at the symptom level and develops and tests the Symptom-Oriented Therapy (SOrT) metric for precision treatment allocation. METHODS: First, we conducted systematic review and meta-analyses of RCTs comparing ADM and psychotherapy at the individual symptom level. We searched PubMed Medline, PsycINFO, and the Cochrane Central Register of Controlled Trials databases, a database specific for psychotherapy RCTs, and looked for unpublished RCTs. Random-effects meta-analyses were applied on sum-scores and for individual symptoms for the Hamilton Rating Scale for Depression (HAM-D) and Beck Depression Inventory (BDI) measures. Second, we computed the SOrT metric, which combines meta-analytic effect sizes with patients' symptom profiles. The SOrT metric was evaluated using data from the Munich Antidepressant Response Signature (MARS) study (n = 407) and the Emory Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study (n = 234). RESULTS: The systematic review identified 38 RCTs for qualitative inclusion, 27 and 19 for quantitative inclusion at the sum-score level, and 9 and 4 for quantitative inclusion on individual symptom level for the HAM-D and BDI, respectively. Neither meta-analytic strategy revealed significant differences in the effectiveness of ADM and psychotherapy across the two depression measures. The SOrT metric did not show meaningful associations with other clinical variables in the MARS sample, and there was no indication of utility of the metric for better treatment allocation from PReDICT data. CONCLUSIONS: This registered report showed no differences of ADM and psychotherapy for the treatment of MDD at sum-score and symptom levels. Symptom-based metrics such as the proposed SOrT metric do not inform allocation to these treatments, but predictive value of symptom information requires further testing for other treatment comparisons.

A Lonely Search?: Risk for Depression When Spirituality Exceeds Religiosity.

This study clarified longitudinal relations of spirituality and religiosity with depression. Spirituality's potential emphasis on internal (e.g., intrapsychic search for meaning) versus religiosity's potential emphasis on external (e.g., engagement in socially-sanctioned belief systems) processes may parallel depression-linked cognitive-behavioral phenomena (e.g., rumination and loneliness) conceptually. Thus, this study tested the hypothesis that greater spirituality than religiosity, separate from the overall level of spirituality and religiosity, predicts longitudinal increases in depression. A national sample of midlife adults completed diagnostic interviews and questionnaires of spiritual and religious intensity up to three times over 18 years. In time-lagged multilevel models, overall spirituality plus religiosity did not predict depression. However, in support of the hypothesis, greater spirituality than religiosity significantly predicted subsequent increases in depressive symptoms and risk for major depressive disorder (odds ratio = 1.34). If replicated, the relative balance of spirituality and religiosity may inform depression assessment and prevention efforts.

Initial severity of depression and efficacy of cognitive-behavioural therapy: individual-participant data meta-analysis of pill-placebo-controlled trials.

BackgroundThe influence of baseline severity has been examined for antidepressant medications but has not been studied properly for cognitive-behavioural therapy (CBT) in comparison with pill placebo.AimsTo synthesise evidence regarding the influence of initial severity on efficacy of CBT from all randomised controlled trials (RCTs) in which CBT, in face-to-face individual or group format, was compared with pill-placebo control in adults with major depression.MethodA systematic review and an individual-participant data meta-analysis using mixed models that included trial effects as random effects. We used multiple imputation to handle missing data.ResultsWe identified five RCTs, and we were given access to individual-level data (n = 509) for all five. The analyses revealed that the difference in changes in Hamilton Rating Scale for Depression between CBT and pill placebo was not influenced by baseline severity (interaction P = 0.43). Removing the non-significant interaction term from the model, the difference between CBT and pill placebo was a standardised mean difference of -0.22 (95% CI -0.42 to -0.02, P = 0.03, I2 = 0%).ConclusionsPatients suffering from major depression can expect as much benefit from CBT across the wide range of baseline severity. This finding can help inform individualised treatment decisions by patients and their clinicians.

Gender as predictor and moderator of outcome in cognitive behavior therapy and pharmacotherapy for adult depression: an "individual patient data" meta-analysis.

BACKGROUND: It has yet to be established whether gender moderates or predicts outcome of psychological and pharmacological treatments for adult depression because: (1) individual randomized trials typically lack sufficient statistical power to detect moderators and predictors and (2) meta-analyses cannot examine such associations directly. METHODS: We conducted an "individual patient data" meta-analysis with the primary data of 1,766 patients from 14 eligible randomized trials comparing cognitive behavior therapy (CBT) with pharmacotherapy. Five studies also compared CBT and pharmacotherapy with pill placebo. We examined the extent to which gender moderates or predicts outcome, using the Hamilton Rating Scale for Depression-17-item (HAM-D-17), with mixed effects models. RESULTS: Despite the high statistical power, we did not find any indication (P > 0.05) that gender moderates outcome (i.e., no indication that either men or women respond better or worse to CBT than to pharmacotherapy or vice versa). Gender was neither a nonspecific predictor (indicating whether gender is related to improvement, regardless of comparison or control groups), nor a specific predictor (predicting outcome of CBT and pharmacotherapy compared to pill placebo). The average differences between men and women within three conditions (CBT, pharmacotherapy, and pill placebo) were less than one point on the HAM-D-17. CONCLUSIONS: The lack of predictive relations in a this good sized sample suggests that gender does not moderate differential response to CBT versus medication treatment and that it neither predicts nonspecific response across the treatments nor the specificity of response for either treatment with respect to pill placebo.

Associations of antidepressant medication consumption with changes in personality pathology and quality of life among community-dwelling adults.

BACKGROUND: Although antidepressant medication (ADM) has produced small advantages over pill placebo in randomized controlled trials, consuming ADM has predicted prospectively increasing depressive symptom severity in samples of community-dwelling adults. OBJECTIVE: We extended the community literature by testing ADM's relations to changes in personality and quality of life that may underpin depression. METHOD: In this longitudinal, observational study, community-dwelling adults (N = 601) were assessed twice, 8 months apart on average. Assessments included depressive symptoms, personality, life satisfaction and quality, and prescription medication consumption. RESULTS: Consuming ADM at time 1 predicted relative increases in depressive symptoms (dysphoria), maladaptive traits (negative affect, negative temperament, disinhibition, low conscientiousness), personality dysfunction (non-coping, self-pathology), and decreases in life satisfaction and quality from time 1 to 2, before and after adjustment for age, gender, race, income, education, physical health problems, and use of other psychotropics. In no analysis did ADM use predict better outcomes. CONCLUSION: Among community-dwelling adults, ADM use is a risk factor for psychosocial deterioration in domains including depressive symptoms, personality pathology, and quality of life. Until mechanisms connecting ADM to poor outcomes in community samples are understood, additional caution in use of ADM and consideration of empirically supported non-pharmacologic treatments is prudent.

Longitudinal prediction of psychosocial functioning outcomes: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Section-II personality disorders versus alternative model personality dysfunction and traits.

We aimed to determine and compare the longitudinal predictive power of Diagnostic and Statistical Manual of Mental Disorders, fifth edition's (DSM-5) two models of personality disorder (PD) for multiple clinically relevant outcomes. A sample of 600 community-dwelling adults-half recruited by calling randomly selected phone numbers and screening-in for high-risk for personality pathology and half in treatment for mental health problems-completed an extensive battery of self-report and interview measures of personality pathology, clinical symptoms, and psychosocial functioning. Of these, 503 returned for retesting on the same measures an average of 8 months later. We used Time 1 interview data to assess DSM-5 personality pathology, both the Section-II PDs and the alternative (DSM-5) model of personality disorder's (AMPD) Criterion A (impairment) and Criterion B (adaptive-to-maladaptive-range trait domains and facets). We used these measures to predict 20 Time 2 functioning outcomes. Both PD models significantly predicted functioning-outcome variance, albeit modestly-averaging 12.6% and 17.9% (Section-II diagnoses and criterion counts, respectively) and 15.2% and 23.2% (AMPD domains and facets, respectively). Each model significantly augmented the other in hierarchical regressions, but the AMPD domains (6.30%) and facets (8.62%) predicted more incremental variance than the Section-II diagnoses (3.74%) and criterion counts (3.31%), respectively. Borderline PD accounted for just over half of Section II's predictive power, whereas the AMPD's predictive power was more evenly distributed across components. We note the predictive advantages of dimensional models and articulate the theoretical and clinical advantages of the AMPD's separation of personality functioning impairment from how this is manifested in personality traits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

How can the DSM-5 alternative model of personality disorders advance understanding of depression?

BACKGROUND: The DSM-5 introduced an alternative model of personality disorder (AMPD) that includes personality dysfunction plus maladaptive-range traits. This study clarifies relations of depression diagnoses and symptoms with AMPD personality pathology. METHOD: Two samples (Ns 402 and 601) of outpatients and community-dwelling adults completed four depression (criteria met for major depressive disorder and dysthymia; dysphoria and low well-being scales), ten trait (two scales for each of five domains-negative affectivity, detachment, disinhibition, antagonism, psychoticism), and eight dysfunction (four scales for each of two domains-self- and interpersonal pathology) measures. Diagnoses were made using a semi-structured interview; other measures were self-reports. We quantified cross-sectional relations between depression and personality pathology with correlation and multiple regression analyses. RESULTS: Collectively (median R2; ps < 0.0001), the trait (0.46) and dysfunction (0.50) scales predicted the depression measures strongly, with most predictive power shared (0.41) between traits and dysfunction. However, trait and dysfunction scales altogether predicted depression (median R2 = 0.54) more strongly than either domain alone, ps < 0.0001. Participants with depression diagnoses showed elevations on all nonadaptive trait and personality dysfunction measures, particularly negative temperament/affectivity and self-pathology measures. LIMITATIONS: Generalization of findings to other populations (e.g., adolescents), settings (e.g., primary care), and measures (e.g., traditional personality disorder diagnoses) is uncertain. Cross-sectional analyses did not test changes over time or establish causality. CONCLUSIONS: The AMPD is highly relevant to depression. Assessment of personality pathology, including both personality dysfunction and maladaptive-range traits, stands to advance understanding of depression in adults.

Disinhibition domain and facets uniquely predict changes in depressive symptoms and psychosocial functioning.

This study aimed to understand the role of disinhibition (low conscientiousness)-in conjunction with the other major personality traits of negative affectivity, detachment, antagonism, and psychoticism-in predicting changes in depressive symptoms and psychosocial functioning. Both the disinhibition trait domain and its primary facets (i.e., irresponsibility, impulsivity, and distractibility) were examined. In a large sample (Time 1 N = 605, Time 2 N = 497) of psychiatric outpatients and high-risk community residents, personality traits, depressive symptoms (both self-reported and interviewer-rated), and psychosocial functioning levels (i.e., daily functioning, interpersonal functioning, health-related quality of life, and global quality of life) were collected across two time points. Results showed that the disinhibition domain was the strongest predictor of changes in depressive symptoms and general quality of life levels. Disinhibition facets also predicted changes in depressive symptoms but showed a less consistent pattern compared to the broader trait domain. Finally, the irresponsibility and distractibility facets significantly and uniquely explained changes in interpersonal functioning. The study highlights the importance of assessing the disinhibition trait rather than only negative and positive affectivity (which are well-known correlates of depression), for understanding changes in depressive symptoms and psychosocial functioning. The findings identify potential targets in psychotherapy for individuals with disinhibition traits and depressive disorders.

Stability and Change in Relations Between Personality Traits and the Interpersonal Problems Circumplex During Cognitive Therapy for Recurrent Depression.

Both personality impairment and maladaptive-range traits are necessary for diagnosis in the alternative model of personality disorder. We clarified personality impairment-trait connections using measures of the interpersonal problems circumplex and personality traits among adult outpatients (N = 351) with major depressive disorder receiving cognitive therapy (CT). The trait scales' circumplex projections were summarized by elevation (correlations with general interpersonal problems), amplitude (specific relations to the circumplex dimensions of dominance and affiliation), and angle (predominant orientation in the two-dimensional circumplex). Most trait scales showed hypothesized circumplex relations, including substantive elevation (e.g., negative temperament, mistrust), amplitude (e.g., aggression, detachment), and expected angles (e.g., positive temperament and manipulativeness oriented toward overly nurturant/intrusive or domineering/vindictive problems, respectively), that were stable across time during CT. These results revealed meaningful and consistent impairment-trait connections, even during CT when mean depressive affect decreased substantially.

Levels of depressed mood and low interest for two years after response to cognitive therapy for recurrent depression.

BACKGROUND: Major depressive disorder (MDD) involves depressed mood (high negative affect, predominantly) and low interest/pleasure (low positive affect). In past research, negative affect has improved more than positive affect during acute-phase antidepressant medication or cognitive therapy (CT). We extended this literature by differentiating depressed mood and two dimensions of low interest (general and sexual), assessing persistence of symptom differences after acute-phase CT response, and testing whether continuation treatment acted differently on depressed mood versus low interest. METHODS: We analyzed data from two randomized controlled trials. Patients with recurrent MDD first received acute-phase CT. Then, responders were randomized to 8-month continuation treatments and assessed for 16-24 additional months. RESULTS: Depressed mood and low general interest improved more than low sexual interest during acute-phase CT. Among responders, these symptom differences persisted for at least 2 years and were not changed by continuation CT or antidepressant medication. LIMITATIONS: Generalization of findings to other patient populations and treatments is uncertain. Depressed mood and low interest scales were constructed from standard symptom measures and overlapped empirically. CONCLUSIONS: Less improvement during CT, and persistent low sexual interest despite continuation treatment, highlights the need for MDD treatments more effectively targeting this positive affective symptom.

Does Symptom Linkage Density Predict Outcomes in Cognitive Therapy for Recurrent Depression?

Background: Acute-phase cognitive therapy (CT) is an efficacious treatment for major depressive disorder (MDD), but how CT helps patients is incompletely understood. As a potential means to clarify CT mechanisms, we defined "symptom linkage density" (SLD) as a patient's mean time-lagged correlation among nine depressive symptoms across 13 weekly assessments. We hypothesized that patients with higher SLD during CT have better outcomes (treatment response, and fewer symptoms after response), and we explored whether SLD correlated with other possible CT processes (growth in social adjustment and CT skills). Method: Data were drawn from two clinical trials of CT for adult outpatients with recurrent MDD (primary sample n = 475, replication sample n = 146). In both samples, patients and clinicians completed measures of depressive symptoms and social adjustment repeatedly during CT. In the primary sample, patients and cognitive therapists rated patients' CT skills. After CT, responders were assessed for 32 (primary sample) or 24 (replication sample) additional months to measure long-term depression outcomes. Results: Higher SLD predicted increases in social adjustment (both samples) and CT skills (primary sample) during CT, CT response (both samples), and lower MDD severity for at least 2 years after CT response (both samples). Analyses controlled patient-level symptom means and variability to estimate SLD's incremental predictive validity. Conclusions: These novel findings from two independent samples with longitudinal follow-up require further replication and extension. SLD may reflect or facilitate generalization of CT skills, improvement in social functioning, or other processes responsible for CT's shorter and longer term benefits.

Quality of life after response to acute-phase cognitive therapy for recurrent depression.

BACKGROUND: Adults with major depressive disorder (MDD) often experience reduced quality of life (QOL). Efficacious acute-phase treatments, including cognitive therapy (CT) or medication, decrease depressive symptoms and, to a lesser degree, increase QOL. We tested longer-term changes in QOL after response to acute-phase CT, including the potential effects of continuation treatment for depression and time-lagged relations between QOL and depressive symptoms. METHODS: Responders to acute-phase CT (N = 290) completed QOL and depressive symptom assessments repeatedly for 32 post-acute months. Higher-risk responders were randomized to 8 months of continuation treatment (CT, fluoxetine, or pill placebo) and then entered a 24-month follow-up. Lower-risk responders were only assessed for 32 months. RESULTS: On average, large gains in QOL made during acute-phase CT response were maintained for 32 months. Continuation CT or fluoxetine did not improve QOL relative to pill placebo. Controlling for residual depressive symptoms, higher QOL after acute-phase CT response was a protective factor against MDD relapse and recurrence. Higher QOL predicted subsequent reductions in depressive symptom severity, but depressive symptom severity did not predict subsequent changes in QOL. LIMITATIONS: Generalization of results to other patient populations, treatments, and measures is uncertain. The clinical trial was not designed to test relations between QOL and depression. Replication is needed before clinical application of these results. CONCLUSIONS: Gains in QOL made during response to acute-phase CT are relatively stable and may help protect against relapse/recurrence. Continuation CT or fluoxetine may not further improve QOL among acute-phase CT responders.

Do Cognitive Therapy Skills Neutralize Lifetime Stress to Improve Treatment Outcomes in Recurrent Depression?

Cognitive therapy (CT) is an efficacious treatment for major depressive disorder (MDD), but not all patients respond. Past research suggests that stressful life events (SLE; e.g., childhood maltreatment, emotional and physical abuse, relationship discord, physical illness) sometimes reduce the efficacy of depression treatment, whereas greater acquisition and use of CT skills may improve patient outcomes. In a sample of 276 outpatient participants with recurrent MDD, we tested the hypothesis that patients with more SLE benefit more from CT skills in attaining response and remaining free of relapse/recurrence. Patients with more pretreatment SLE did not develop weaker CT skills, on average, but were significantly less likely to respond to CT. However, SLE predicted non-response only for patients with relatively weak skills, and not for those with stronger CT skills. Similarly, among acute-phase responders, SLE increased risk for MDD relapse/recurrence among patients with weaker CT skills. Thus, the combination of more SLE and weaker CT skills forecasted negative outcomes. These novel findings are discussed in the context of improving CT for depression among patients with greater lifetime history of SLE and require replication before clinical application.

Do patients' cognitive therapy skills predict personality change during treatment of depression?

BACKGROUND: Psychological interventions can change personality, including increasing positive temperament (extraversion) and decreasing negative temperament (neuroticism), but why these changes occur is unclear. The current study tested the extent to which patients' acquisition and use of skills taught in cognitive therapy (CT) correlated with changes in positive and negative temperament during treatment of depression. METHOD: Outpatients (N = 351) with recurrent major depressive disorder (MDD) were enrolled in a 12-week CT protocol. Temperament (early and late in CT), patient skills (mid and late in CT), and depressive symptoms (early, mid, and late in CT) were measured repeatedly. RESULTS: Patients with greater acquisition and use of CT skills showed significantly larger increases in positive temperament and larger decreases in negative temperament in path analyses. Effect sizes were small, median standardized |beta| = 0.13. Models controlled depressive symptom levels and changes. CONCLUSIONS: Skills taught in CT for recurrent depression correlate with personality change during this efficacious treatment. The absence of measures of CT skills at baseline and personality mid-CT allows several interpretations of the current findings. Future research is needed to clarify whether patients' use of CT skills facilitates adaptive changes in personality during CT.

Psychometric properties of the Marital Adjustment Scale during cognitive therapy for depression: New research opportunities.

Poor dyadic adjustment in marital or similar relationships is common among patients seeking individual cognitive therapy (CT) for major depressive disorder (MDD). Here we examined the psychometric properties of the marital adjustment subscale (MAS) of the Social Adjustment Scale-Self-report (SAS-SR; Weissman & Bothwell, 1976). Among married or cohabiting patients receiving individual CT for recurrent MDD (N = 306) in the context of two randomized controlled trials, the MAS demonstrated moderate internal consistency and test-retest reliability, strong convergence with the Dyadic Adjustment Scale (Spanier, 1976), and moderate relations with interpersonal problems and depressive symptoms. Controlling baseline depressive symptom severity, greater pre-CT relationship discord on the MAS predicted less reduction in depressive symptom severity and lower odds of depression remission during CT. These results support the reliability, validity, and potential utility of the MAS. Using the MAS may help investigators "mine" existing data sets including the SAS-SR to further understanding of dyadic functioning and its potential impact on depression treatment and other health outcomes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Is sleep disturbance linked to short- and long-term outcomes following treatments for recurrent depression?

BACKGROUND: Pre-treatment sleep disturbance has been shown to predict antidepressant treatment outcomes. How changes in sleep disturbance during acute treatment affect longitudinal outcomes, or whether continuation-phase treatment further improves sleep disturbance, is unclear. METHODS: We assessed sleep disturbance repeatedly in: a) 523 adults with recurrent MDD who consented to 12-14 weeks of acute-phase cognitive therapy (A-CT) and b) 241 A-CT responders at elevated risk for depression relapse/recurrence who were randomized to 8 months of continuation-phase treatment (CCT vs. fluoxetine vs. matched pill placebo) and followed protocol-treatment-free for 24 months. Trajectories of change in sleep and depression during and after A-CT were evaluated with multilevel models; individual intercepts and slopes were retained and input into Cox regression models to predict remission, recovery, relapse, and recurrence of MDD. RESULTS: Sleep disturbance improved over the course of A-CT, but most patients continued to report clinically significant sleep complaints. Response and remission were more likely in patients with less overall sleep disturbance and those with greater reduction in sleep disturbance during A-CT; these patients also achieved post-A-CT remission and recovery sooner. Sleep improvements endured throughout follow-up but were not enhanced by continuation-phase treatment. Sleep disturbance did not predict relapse or recurrence consistently. LIMITATIONS: Objective sleep disturbance was not assessed. Analyses were not specifically powered to use sleep changes to predict outcomes. CONCLUSIONS: Improvements in sleep disturbance during A-CT are linked to shorter times to remission and recovery, supporting consideration of monitoring and targeting sleep disturbance in adults with depression.

Deterioration in psychosocial functioning predicts relapse/recurrence after cognitive therapy for depression.

BACKGROUND: Associations between major depressive disorder (MDD) and psychosocial functioning are incompletely understood across time and during continuation phase cognitive therapy (C-CT). We examined the validity of the Range of Impaired Functioning Tool (RIFT; [Leon, A.C., Solomon, D.A., Mueller, T.I., Turvey, C.L., Endicott, J., Keller, M.B., 1999. The Range of Impaired Functioning Tool (LIFE-RIFT): A brief measure of functional impairment. Psychol. Med. 29, 869-878.]) as a measure of psychosocial functioning and its relations to depressive symptoms in C-CT and assessment-only control conditions. METHODS: Outpatients with recurrent MDD who responded to acute-phase cognitive therapy (A-CT) were randomized to 8 months of C-CT (n=41) or assessment-only (n=43) and followed 16 additional months [Jarrett, R.B., Kraft, D., Doyle, J., Foster, B.M., Eaves, G.G., Silver, P.C., 2001. Preventing recurrent depression using cognitive therapy with and without a continuation phase: A randomized clinical trial. Arch. Gen. Psychiatry 58, 381-388.]. Interviewers rated depressive symptoms and psychosocial functioning monthly. Patients completed additional self-reports. RESULTS: The RIFT converged appropriately with other measures of psychosocial functioning, depressive symptoms, cognitive content, and personality. About half (55%) of patients were psychosocially "well" (RIFT< or =8) during the first month post-A-CT. C-CT improved psychosocial functioning only transiently compared to the assessment control. Examined prospectively, depressive symptom level did not predict monthly changes in psychosocial functioning significantly, whereas psychosocial dysfunction level predicted monthly changes in depressive symptoms and relapse/recurrence. LIMITATIONS: Findings may not generalize to other patient populations, treatments, and assessment methods. The cross-lagged correlational data structure allows only tentative conclusions about the causal effect of psychosocial functioning on depressive symptoms. CONCLUSIONS: The RIFT is a valid measure of psychosocial functioning among responders to A-CT for depression. After such response, deteriorations in psychosocial functioning may signal imminent major depressive relapse/recurrence and provide targets for change during treatments focused on relapse/recurrence prevention.

Which body shape dimensions and sizes predict depression?

BACKGROUND: Obesity is associated with depression, but a common measure of obesity, body mass index (BMI), combines height and weight. Consequently, which body shape dimensions and sizes are most relevant to depression is unclear. METHOD: Data were analyzed from the National Health and Nutrition Examination Survey years 2007-2016, focusing on adults age 20 and older who were not pregnant. In this nationally-representative sample (N = 23,739), relations of depressive symptoms with body shape variables were tested, controlling for age, gender, ethnicity, and socioeconomic status. RESULTS: Body weight and BMI, but not standing height, predicted depressive symptoms. Adults with relatively high body weight or BMI (roughly the top 30-40% of women or 10% of men) had substantively elevated depressive symptoms (d ≥ 0.20) within genders. BMI ranges predicting elevated depressive symptoms among women (BMI ≥ 30) and men (BMI ≥ 36) were higher than standard overweight and obesity definitions, respectively. LIMITATIONS: This observational study was cross-sectional. Future longitudinal and experimental research is needed to clarify potential causal relations between body weight and depression. Other body shape variables may also predict depression. CONCLUSIONS: Body weight but not height predicted concurrent risk for depressive symptomatology in the United States. Future research should test whether assessment focused on body weight not adjusted for height, as in BMI, improves depression prevention and treatment.