Predicting functional impairment in euthymic patients with mood disorder: A 5-year follow-up.

Major Depressive Disorder and Bipolar Disorder are psychiatric disorders associated with psychosocial impairment. Despite clinical improvement, functional complaints usually remain, mainly impairing occupational and cognitive performance. The aim of this study was to use machine learning techniques to predict functional impairment in patients with mood disorders. For that, analyzes were performed using a population-based cohort study. Participants diagnosed with a mood disorder at baseline and reassessed were considered (n = 282). Random forest (RF) with previous recursive feature selection and LASSO algorithms were applied to a training set with imputed data by bagged trees resulting in two main models. Following recursive feature selection, 25 variables were retained. The RF model had the best performance compared to LASSO. The most important variables in predicting functional impairment were sexual abuse, severity of depressive, anxiety, and somatic symptoms, physical neglect, emotional abuse, and physical abuse. The model demonstrated acceptable performance to predict functional impairment. However, our sample is composed of young participants and the model may not generalize to older individuals with mood disorders. More studies are needed in this direction. The presented calculator has clinical, sociodemographic, and environmental data, demonstrating that it is possible to use such information to predict functional performance.

Ego-defense mechanisms and brief psychotherapies for the management of major depressive disorder in adults: A longitudinal and quasi-experimental study.

OBJECTIVE: To evaluate the effect of psychotherapies on ego defense mechanisms and the reduction of depressive symptoms in a 12-month follow-up period. METHODS: This longitudinal and quasi-experimental study nested within a randomized clinical trial included a clinical sample of adults (18-60 years) diagnosed with major depressive disorder using the Mini-International Neuropsychiatric Interview. Two models of psychotherapy were used: Supportive Expressive Dynamic Psychotherapy (SEDP) and Cognitive Behavioral Therapy (CBT). Defense Style Questionnaire 40 was used to analyze defense mechanisms and the Beck Depression Inventory was used to measure the depressive symptoms. RESULTS: The total sample comprised 195 patients (113 SEDP and 82 CBT), with the mean age was 35.63 (11.44) years. After adjustments, increased mature defenses was significantly associated with reduced depressive symptoms at all follow-up times (p < 0.001) and the decrease in immature defenses was significantly associated with the reduction of depressive symptoms at all follow-up times (p < 0.001). While neurotic defenses were not associated with a reduction in depressive symptoms at any time of follow-up (p > 0.05). CONCLUSION: Both models of psychotherapy were effective in increasing mature defenses and decreasing immature ones, as well as decreasing depressive symptoms at all evaluation times. With this, it is understood that a greater understanding of these interactions will allow a more adequate diagnostic and prognostic evaluation and the design of useful strategies that adapt to the patient's reality.

Predictors of illicit substance abuse/dependence during young adulthood: A machine learning approach.

Prior studies have found an especially high prevalence of illicit substance use among adolescents and young adults in Brazil. The current study aimed to employ machine learning techniques to identify predictors of illicit substance abuse/dependence among a large community sample of young adults followed for 5 years. This prospective, population-based cohort study included a sample of young adults between the ages of 18-24 years from Pelotas, Brazil at baseline (T1). The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was used to assess illicit substance abuse/dependence. A clinical interview was conducted to collect data on sociodemographic characteristics and psychopathology. Elastic net was used to generate a regularized linear model for the machine learning component of this study, which followed standard machine learning protocols. A total of 1560 young adults were assessed at T1, while 1244 were reassessed at the 5-year follow-up period (T2). The strongest predictors of illicit substance abuse/dependence at baseline (AUC of 0.83) were alcohol abuse/dependence, tobacco abuse/dependence, being in a current major depressive episode, history of a lifetime manic episode, current suicide risk, and male sex. The strongest predictors for illicit substance abuse/dependence at the 5-year follow-up (AUC: 0.79) were tobacco abuse/dependence at T1, history of a lifetime manic episode at T1, male sex, alcohol abuse/dependence at T1, and current suicide risk at T1. Our findings indicate that machine learning techniques hold the potential to predict illicit substance abuse/dependence among young adults using sociodemographic/clinical characteristics, with relatively high accuracy.

Temperament traits mediate the relationship between CACNA1C polymorphisms and bipolar disorder in cisgender women.

The influence of temperament traits on bipolar disorder (BD) has been investigated. Both temperament traits and BD are partially genetically determined and seem to be influenced by variations in the CACNA1C gene. These variations presented a significant interactive effect with biological sex, although studies that evaluate this relationship are scarce. Here, we assessed the mediation effect of temperament traits on the relationship between two polymorphisms in the CACNA1C gene (rs1006737 and rs4765913) and BD according to sex. This is a cross-sectional study consisting of 878 Caucasian individuals (508 women and 370 men), aged 18-35, enrolled in a population-based study in the city of Pelotas, Southern Brazil. BD diagnosis was evaluated using the clinical interview MINI 5.0, and temperament traits were assessed via the application of the Affective and Emotional Composite Temperament Scale (AFECTS). Mediation models were tested using the modeling tool PROCESS (version 3.3) for SPSS. Bootstrapping-enhanced mediation analyses in women indicated that traits anger (39%) and caution (27%) mediated the association between the rs4765913 SNP and BD, while traits volition (29%), anger (35%), and caution (29%) mediated the association between the AA haplotype (rs1006737-rs4765913) and the BD. No effect was encountered for cisgender men. Our model revealed that paths from CACNA1C SNPs to BD are mediated by specific temperament traits in women, reinforcing the definition of temperament traits as endophenotypes.

BDNF Levels According to Variations in the CACNA1C Gene: Sex-Based Disparity.

The CACNA1C gene encodes the pore-forming alpha-1c subunit of L-type voltage-gated calcium channels. The calcium influx through these channels regulates the transcription of the brain-derived neurotrophic factor (BDNF). Polymorphisms in this gene have been consistently associated with psychiatric disorders, and alterations in BDNF levels are a possible biological mechanism to explain such associations. Here, we sought to investigate the effect of the CACNA1C rs1006737 and rs4765913 polymorphisms and their haplotypes on serum BDNF concentration. We further aim to investigate the regulatory function of these SNPs and the ones linked to them. The study enrolled 641 young adults (362 women and 279 men) in a cross-sectional population-based survey. Linear regression was used to test the effects of polymorphisms and haplotypes on BDNF levels adjusted for potential confounders. Moreover, regulatory putative functional roles were assessed using in silico approach. BDNF levels were not associated with CACNA1C polymorphisms/haplotype in the total sample. When the sample was stratified by sex, checking the effect of polymorphisms on men and women separately, the A-allele of rs4765913 was associated with lower BDNF levels in women compared with the TT genotype (p = 0.010). The AA (rs1006737-rs4765913) haplotype was associated with BDNF levels in opposite directions regarding sex, with lower levels of BDNF in women (p = 0.040) compared to those without this haplotype, while with higher levels in men (p = 0.027). These findings were supported by the presence of regulatory marks only on the male fetal brain. Our results suggest that the BDNF levels regulation may be a potential mechanism underpinning the association between CACNA1C and psychiatric disorders, with a differential role in women and men.

Interaction between COMT Val158 Met polymorphism and childhood trauma predicts risk for depression in men.

Depression is a disabling illness with complex etiology. While the catechol-O-methyltransferase (COMT) gene, in particular the functional Val158 Met polymorphism, has been related to depression, the mechanisms underlying this gene-disease association are not completely understood. Therefore, we explore the association of COMT Val158 Met polymorphism with depression as well as its interaction with childhood trauma in 1136 young adults from a population-based study carried out in the city of Pelotas, Brazil. The diagnosis was performed through the Mini International Neuropsychiatric Interview 5.0 (MINI 5.0), and trauma was assessed with the Childhood Trauma Questionnaire (CTQ). Total DNA was extracted and genotyped by real-time PCR, and the QTLbase dataset was queried to perform large-scale quantitative trait locus (QTL) analysis. Our research showed no direct association between the Val158 Met polymorphism and the diagnosis of depression (women: χ2  = 0.10, d = 1, p = 0.751; men: χ2  = 0.003, df = 1, p = 0.956). However, the Met-allele of the Val158 Met polymorphism modified the effect of childhood trauma in men (OR = 2.58 [95% CI: 1.05-6.29]; p = 0.038) conferring risk for depression only on those who suffer from trauma. The conditional effect from moderation analysis showed that trauma impacts the risk of depression only in men carrying the Met-allele (effect: 0.9490, standard error [SE]: 0.2570; p = 0.0002). QTLbase and dataset for Val158 Met polymorphism were consistent for markers that influence chromatin accessibility transcription capacity including histone methylation and acetylation. The changes caused in gene regulation by childhood trauma exposure and polymorphism may serve as evidence of the mechanism whereby the interaction increases susceptibility to this disorder in men.

Investigating biological rhythms disruptions across the menstrual cycle in women with comorbid bipolar disorder and premenstrual dysphoric disorder.

We investigated whether women diagnosed with comorbid bipolar disorder (BD) and premenstrual dysphoric disorder (PMDD) experience higher disruptions in biological rhythms in two independent study samples. The first study has a population-based sample of 727 women, including 104 women with PMDD only, 43 women with BD only, 24 women with comorbid PMDD and BD, and 556 women without BD or PMDD (controls). Biological rhythm disruptions were cross-sectionally evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). The second study enrolled 77 outpatient women who completed prospective assessments at two timepoints: during the mid-follicular and the late-luteal phases of their menstrual cycles, using the BRIAN, and included 19 women with PMDD, 16 with BD, 17 with comorbid PMDD and BD, and 25 controls. In the population-based sample, all the diagnostic groups (BD, PMDD, BDPMDD) presented greater biological rhythm disruption than controls. In addition, women with BD presented greater overall biological rhythms disruption, and greater disruption in sleep, activity, and eating patterns, than women with PMDD. In the outpatient sample study, women with BDPMDD showed greater disruption in the social domain than women with PMDD. In the outpatient sample, women with BDPMDD reported significantly higher disruptions in biological rhythms across both the follicular and the luteal phases of the menstrual cycle. The comorbidity between BD and PMDD may affect biological rhythms beyond the luteal phase of the menstrual cycle. These results support previous literature on the increased illness burden of women diagnosed with comorbid BD and PMDD.

Dropout in brief psychotherapy for major depressive disorder: Randomized clinical trial.

The aim of this paper is to analyse the factors associated with the dropout from brief psychotherapy for adults with major depressive disorder (MDD) treated at a mental health outpatient clinic. This is a randomized clinical trial with two models of psychotherapy: cognitive behavioural therapy (CBT) and supportive expressive dynamic psychotherapy (SEDP). MDD and anxiety disorders were evaluated through the Mini International Neuropsychiatric Interview-Plus. The personality disorders were evaluated by the Millon Clinical Multiaxial Inventory-III. The severity of depressive symptoms was measured using the Beck Depression Inventory-II and resilience through Resilience Scale. Of the 215 participants, 41.9% abandoned psychotherapy (n = 90), and, of these, 54.4% (n = 49) abandoned after the fourth session. The proportion of psychotherapy dropout was higher among those with nonwhite skin colour, belonging to economic classes C and D, who had children and whose depressive symptoms were moderate. Presence of obsessive-compulsive personality trait was protective against dropout. The damage caused by this abrupt interruption is evident for all those involved in the psychotherapeutic process, so the clinician should pay attention to the predictors found in this study in order to develop strategies that promote therapeutic adherence.

Early illness progression in mood disorders: A population-based longitudinal study.

This study is aimed at assessing changes in functioning among young people from the general population with bipolar disorder and major depressive disorder over a period of five years. Specifically, we hypothesized that significant illness progression would take place during euthymia over time in bipolar disorder. We conducted a longitudinal study with 231 people, assessed at baseline and again at a five-year follow-up. A structured clinical interview was used to diagnose participants with mood disorders. A control group without mood disorders was also included. Functioning was assessed with the Functioning Assessment Short Test, and linear mixed models were used to analyze the effect of psychopathology on change in functioning. Mood disorders were associated with significant functional impairment, but functioning significantly improved in both groups over the 5-year follow-up period. Depressive episodes, however, were associated with worse functioning at follow-up, independently of depression severity. In contrast to our initial hypothesis, we found a worsening of functioning in a five-year period associated only with depressive episodes. This suggests that interventions focused on the prevention of mood episodes early in the course of illness may be particularly promising to reduce adverse functioning outcomes.

5-year incidence of suicide-risk in youth: A gradient tree boosting and SHAP study.

BACKGROUND: Machine learning methods for suicidal behavior so far have failed to be implemented as a prediction tool. In order to use the capabilities of machine learning to model complex phenomenon, we assessed the predictors of suicide risk using state-of-the-art model explanation methods. METHODS: Prospective cohort study including a community sample of 1,560 young adults aged between 18 and 24. The first wave took place between 2007 and 2009, and the second wave took place between 2012 and 2014. Sociodemographic and clinical characteristics were assessed at baseline. Incidence of suicide risk at five-years of follow-up was the main outcome. The outcome was assessed using the Mini Neuropsychiatric Interview (MINI) at both waves. RESULTS: The risk factors for the incidence of suicide risk at follow-up were: female sex, lower socioeconomic status, older age, not studying, presence of common mental disorder symptoms, and poor quality of life. The interaction between overall health and socioeconomic status in relation to suicide risk was also captured and shows a shift from protection to risk by socioeconomic status as overall health increases. LIMITATIONS: Proximal factors associated with the incidence of suicide risk were not assessed. CONCLUSIONS: Our findings indicate that factors related to poor quality of life, not studying, and common mental disorder symptoms of young adults are already in place prior to suicide risk. Most factors present critical non-linear patterns that were identified. These findings are clinically relevant because they can help clinicians to early detect suicide risk.

Incidence and Risk Factors for Suicide Attempts in Patients Diagnosed with Major Depressive Disorder.

OBJECTIVE: This study seeks to investigate the cumulative incidence and risk factors of suicide attempts in an outpatient sample of adults diagnosed with major depressive disorder (MDD). MATERIALS AND METHODS: This is a longitudinal study with 377 patients aged between 18 and 60 years. Those were diagnosed with MDD with no history of suicide attempts when they sought care at the Mental Health Outpatient Clinic of the Catholic University of Pelotas and evaluated again 3 years after. Participants were evaluated with the Mini International Neuropsychiatric Interview (MINI Plus) and answered instruments of clinical investigation and a sociodemographic questionnaire. RESULTS: The cumulative incidence of suicide attempts in the sample was 10.1%. Youths aged up to 29 years (OR 2.23; 95% CI 1.13 to 4.64), with low schooling (OR 2.35; 95% CI 1.15 to 4.80), who suffered intense physical abuse during childhood (OR 2.77; 95% CI 1.31 to 5.84) and were at prior suicide risk (OR 3.39; 95% CI 1.56 to 7.37) were more likely to attempt suicide. CONCLUSION: The findings of this study may help health professionals identify depressed patients at greater risk for a first suicide attempt, supporting clinical decision and therapeutic planning.

Lifetime cocaine use is a potential predictor for conversion from major depressive disorder to bipolar disorder: A prospective study.

AIM: We aimed to identify whether lifetime cocaine use is a risk factor for conversion from major depressive disorder (MDD) to bipolar disorder (BD) in an outpatient sample of adults. METHODS: This prospective cohort study included 585 subjects aged 18 to 60 years who had been diagnosed with MDD as assessed by the Mini International Neuropsychiatric Interview (MINI-Plus) at baseline (2012-2015). Subjects were reassessed a mean of 3 years later (2017-2018) for potential conversion to BD as assessed by the MINI-Plus. Lifetime cocaine use was assessed using the Alcohol, Smoking, and Substance Involvement Screening Test. RESULTS: In the second wave, we had 117 (20%) losses, and 468 patients were reassessed. The rate of conversion from MDD to BD in 3 years was 12.4% (n = 58). A logistic regression analysis showed that the risk for conversion from MDD to BD was 3.41-fold higher (95% confidence interval, 1.11-10.43) in subjects who reported lifetime cocaine use at baseline as compared to individuals who did not report lifetime cocaine use at baseline, after adjusting for demographic and clinical confounders. CONCLUSION: These findings showed that lifetime cocaine use is a potential predictor of conversion to BD in an MDD cohort. Further studies are needed to assess the possible underlying mechanisms linking exposure to cocaine with BD conversion.

The role of CACNA1C gene and childhood trauma interaction on bipolar disorder.

Studies on gene x environment interaction (GxE) have provided vital information for uncovering the origins of complex diseases. When considering the etiology of bipolar disorder (BD), the role of such interactions is unknown. Here, we tested whether trauma during childhood could modify the effect of two polymorphisms in the CACNA1C gene (rs1006737 and rs4765913) in terms of susceptibility to BD. The study enrolled 878 Caucasian young adults in a cross-sectional population-based survey. BD diagnosis was performed using a clinical interview MINI 5.0, and trauma was assessed with the childhood trauma questionnaire (CTQ). Binary logistic regression models were employed to test the main effects of polymorphisms, haplotypes, and GxE interactions using sex as a confounder. We did not observe an association between the polymorphisms and diagnosis of BD. However, we noted that childhood trauma modified the effect of the rs4765913 polymorphism (p = .018) and the AA haplotype (rs1006737 - rs4765913) (p = .018) on BD susceptibility. A allele carriers of the rs4765913 polymorphism or the AA haplotype exposed to childhood trauma are more likely to develop BD compared to the individuals without a genetic risk. Thus, this study showed that the risk of developing BD in individuals exposed to childhood trauma was influenced by the individual's genetic background, varying according to the CACNA1C genotypes.

Serum level of nerve growth factor is a potential biomarker of conversion to bipolar disorder in women with major depressive disorder.

AIM: The aim of this study was to identify biomarkers associated with major depressive disorder (MDD) and conversion from MDD to bipolar disorder (BD) in an outpatient sample of women. METHODS: This was a longitudinal study including women diagnosed with MDD and aged 18 to 60 years. The follow-up was 3 years. The diagnosis was performed using the Mini International Neuropsychiatric Interview Plus. Blood collection was just performed in the first phase. Serum interleukin-6, tumor necrosis factor-α, brain-derived neurotrophic factor, glial cell-derived neurotrophic factor, and nerve growth factor (NGF) levels were measured using a commercial immunoassay kit. RESULTS: We included 156 women. The conversion rate from MDD to BD was 15.4% (n = 24). NGF serum levels were increased in patients who converted to BD compared to the remitted MDD group and current MDD group (P = 0.013). The Bonferroni post-hoc test for multiple comparisons revealed significant differences for higher NGF levels in patients who converted to BD compared to patients with current MDD (P = 0.037). Interleukin-6, tumor necrosis factor-α, brain-derived neurotrophic factor, and glial cell-derived neurotrophic factor serum levels did not differ among the groups. CONCLUSION: Our results suggest that NGF might be a useful biomarker associated with early detection of conversion to BD, helping clinicians in the clinical diagnosis.

Impact of genetic variations in ADORA2A gene on depression and symptoms: a cross-sectional population-based study.

Genetic variants involved in adenosine metabolism and its receptors were associated with increased risk for psychiatric disorders, including anxiety, depression, and schizophrenia. Here, we examined an association between a single nucleotide polymorphism in A2A receptor gene (ADORA2A, rs2298383 SNP) with current depressive episode and symptom profile. A total of 1253 individuals from a cross-sectional population-based study were analyzed by the Mini International Neuropsychiatric Interview 5.0. Our data showed that the TT genotype of ADORA2A rs2298383 SNP was associated with reduced risk for depression when compared to the CC/CT genotypes (p = 0.020). This association remained significant after adjusting for confounding variables such as smoking, gender, socioeconomic class, and ethnicity (OR = 0.631 (95% CI 0.425-0.937); p = 0.022). Regarding the symptoms associated with depression, we evaluated the impact of the ADORA2A SNP in the occurrence of sad/discouraged mood, anhedonia, appetite changes, sleep disturbances, motion changes, energy loss, feelings of worthless or guilty, difficulty in concentrating, and presence of bad thoughts. Notably, the TT genotype was independently associated with reduced sleep disturbances (OR = 0.438 (95% CI 0.258-0.743); p = 0.002) and less difficulty in concentrating (OR = 0.534 (95% CI 0.316-0.901; p = 0.019). The cross-sectional design cannot evaluate the cause-effect relationship and did not evaluate the functional consequences of this polymorphism. Our data support an important role for ADORA2A rs2298383 SNP in clinical heterogeneity associated with depression. The presence of the TT genotype was associated with decrease risk for current depression and disturbances in sleep and attention, two of the most common symptoms associated with this disorder.

Differences between unipolar mania and bipolar-I disorder: Evidence from nine epidemiological studies.

OBJECTIVES: Although clinical evidence suggests important differences between unipolar mania and bipolar-I disorder (BP-I), epidemiological data are limited. Combining data from nine population-based studies, we compared subjects with mania (M) or mania with mild depression (Md) to those with BP-I with both manic and depressive episodes with respect to demographic and clinical characteristics in order to highlight differences. METHODS: Participants were compared for gender, age, age at onset of mania, psychiatric comorbidity, temperament, and family history of mental disorders. Generalized linear mixed models with adjustment for sex and age as well as for each study source were applied. Analyses were performed for the pooled adult and adolescent samples, separately. RESULTS: Within the included cohorts, 109 adults and 195 adolescents were diagnosed with M/Md and 323 adults and 182 adolescents with BP-I. In both adult and adolescent samples, there was a male preponderance in M/Md, whereas lifetime generalized anxiety and/panic disorders and suicide attempts were less common in M/Md than in BP-I. Furthermore, adults with mania revealed bulimia/binge eating and drug use disorders less frequently than those with BP-I. CONCLUSIONS: The significant differences found in gender and comorbidity between mania and BP-I suggest that unipolar mania, despite its low prevalence, should be established as a separate diagnosis both for clinical and research purposes. In clinical settings, the rarer occurrence of suicide attempts, anxiety, and drug use disorders among individuals with unipolar mania may facilitate successful treatment of the disorder and lead to a more favorable course than that of BP-I disorder.

Is suicide risk a predictor of diagnosis conversion to bipolar disorder?

To assess predictors of the diagnosis of bipolar disorder is important since it is known that the early diagnosis is associated with a better response to the treatment. Thus, the aim of this systematic review is to assess the role of the suicide risk in the diagnosis conversion to bipolar disorder. We searched Pubmed, Bireme, Scopus, and PsycINFO with no year restriction for articles containing the words (suicidal or suicide or suicide risk or suicide attempt) and (conversion or switch) and (bipolar disorder or mania or hypomania or bipolar disorders). The review included four studies, with only one confirming that subjects who converted to bipolar disorder had higher rates of suicide risk than subjects who did not convert to bipolar disorder. The main limitation of this review is that few longitudinal studies assessed the predictors of conversion to bipolar disorders. In conclusion, suicide risk appears to be a predictor of bipolar disorder; nevertheless, more studies are needed to confirm this association.

Serum brain-derived neurotrophic factor levels in subjects with major depressive disorder with previous suicide attempt: A population-based study.

Major depressive disorders (MDD) and suicide are significant public health concerns. Recent studies have been demonstrated that alterations in Brain Derived Neurotrophic Factor (BDNF) can be associated with this psychiatric disorders, MDD and suicide. Thus, the aim of this study was to evaluate differences in serum levels in individuals with MDD and with or without suicide attempt (SA), from a population-based sample. This was a paired cross-sectional study nested in a population-based study. The psychopathology screen was performed with the Mini-International Neuropsychiatric Interview (MINI). The total population of the sample consisted of 147 subjects distributed in three groups: 49 healthy controls, 49 subjects with MDD and 49 subjects with MDD and SA (MDD + SA). The BDNF serum levels were significantly reduced in subjects with MDD and MDD + SA compared to the healthy controls. However, there were no significant differences between the MDD and MDD + SA groups with respect to BDNF serum levels. These results suggest that SA did not interfere in the serum levels of BDNF, indicating that this neurotrophin may be related to the diagnosis of MDD and not to suicide attempt.

Is Narrative Cognitive Therapy as Effective as Cognitive Behavior Therapy in the Treatment for Depression in Young Adults?

This study aimed to compare the effectiveness of narrative cognitive therapy (NCT) and cognitive behavior therapy (CBT) in the improvement of perception of quality of life in young adults with depression at 12-month follow-up. This was a randomized clinical trial conducted using seven sessions of NCT or CBT. Quality of life was measured using the Medical Outcomes Survey Short-Form General Health Survey. The sample included 97 patients. Considering only completers to be samples, CBT was more effective than NCT for improvement of physical functioning (p = 0.031), vitality (p = 0.013), and mental health (p = 0.002) at 12-month follow-up. However, in the intention-to-treat analysis, we found no difference between groups. Regardless of model, we found a significant improvement in all domains from baseline to postintervention and 6- and 12-month follow-ups, except for the bodily pain domain. In conclusion, both models were effective in the improvement of perception of quality of life.