Corrigendum: What explains the link between romantic conflict with gambling problems? Testing a serial mediational model

[This corrects the article DOI: 10.3389/fpsyg.2023.1018098.].

What explains the link between romantic conflict with gambling problems? Testing a serial mediational model

Introduction

While individuals have many motives to gamble, one particularly risky motive for gambling is to cope with negative affect. Conflict with one's romantic partner is a strong predictor of negative affect, which may elicit coping motives for gambling and, in turn, gambling-related problems. Support for this mediational model was demonstrated in relation to drinking-related problems. We extended this model to gambling.

Method

Using a cross-sectional design, we examined links between romantic conflict (Partner-Specific Rejecting Behaviors Scale), negative affect (Depression, Anxiety, and Stress Scales-21), coping gambling motives (Gambling Motives Questionnaire, coping subscale), and gambling-related problems [Problem Gambling Severity Index (PGSI)] in 206 regular gamblers (64% men; mean age = 44.7 years; mean PGSI = 8.7) who were in a romantic relationship and recruited through Qualtrics Panels in July 2021.

Results

Results supported our hypothesis that the association between romantic conflict and gambling-related problems would be sequentially mediated through negative affect and coping gambling motives, β = 0.38, 95% CI [0.27, 0.39], and also showed a strong single mediation pathway through negative affect alone, β = 0.27, 95% CI [0.17, 0.38].

Discussion

Negative affect and coping gambling motives partially explain the link between romantic conflict and gambling-related problems. Interventions should target both negative affect and coping gambling motives in response to romantic conflict to reduce gambling-related problems in partnered gamblers.

Drinking to Cope Mediates the Association between Dyadic Conflict and Drinking Behavior: A Study of Romantic Couples during the COVID-19 Pandemic

The COVID-19 pandemic spurred public health measures to reduce viral spread. Concurrently, increases in alcohol consumption and conflict in romantic partnerships were observed. Pre-pandemic research demonstrated a bidirectional association between couples' conflict and drinking. Recent research shows one's drinking motives (proximal predictors of drinking behavior) can influence another person's drinking in close relationships. It is possible that individuals are drinking to cope with distress following romantic conflict. The current study examined 348 cohabitating couples during the first lockdown in the spring of 2020. Our analyses examined coping motives as a mediator between dyadic conflict and drinking behavior using actor-partner interdependence models. Results showed that conflict was associated with greater reports of own drinking in gendered (distinguishable) and nongendered (indistinguishable) analyses through coping motives. Further, in mixed-gender couples, men partners' coping motives predicted less drinking in women, while women partners' coping motives predicted marginally more drinking in men. Partner effects may have been observed due to the increased romantic partner influence during the COVID-19 lockdown. While these results suggest that men's coping motives may be protective against women's drinking, more concerning possibilities are discussed. The importance of considering dyadic influences on drinking is highlighted; clinical and policy implications are identified.

Effects of mandatory homeschooling during COVID-19 on conflict in romantic couples

In early 2020, schools across Canada closed due to the COVID-19 pandemic, requiring parents to homeschool their children. We examined the association between homeschooling and romantic conflict among couples during the COVID-19 pandemic. Canadian couples (N = 756) completed online measures, including whether they were homeschooling, hours spent homeschooling, and romantic conflict during the month of April 2020. Two hundred ten couples (27.8%) reported that they were homeschooling their children during this period, with 173 (22.9%) couples homeschooling due to the pandemic. Multilevel regressions were used to examine the association between homeschooling status and romantic conflict, and actor-partner interdependence models (APIMs) were used to examine the association between homeschooling hours and romantic conflict among homeschoolers. In our APIM analyses, significant links between hours spent homeschooling and romantic conflict were observed, even when controlling for demographic variables. We found significant actor effects, where an individual's own homeschooling hours were positively related to the conflict they enacted toward their partner, and significant partner effects, where the partner's homeschooling hours were positively related to conflict received by the individual. Among all couples, we found significant positive associations between homeschooling status (i.e., nonhomeschooler or homeschooler) and both types of romantic conflict. However, these associations were nonsignificant when controlling for demographic variables. Our findings suggest the number of hours spent in homeschooling may be an important contributor to romantic conflict between partners during the pandemic. We discuss implications for schools and governments in providing additional support for families homeschooling children during mandated school closures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Division of Labour and Parental Mental Health and Relationship Well-Being during COVID-19 Pandemic-Mandated Homeschooling

While the COVID-19 pandemic has impacted the way parents partition tasks between one another, it is not clear how these division of labour arrangements affect well-being. Pre-pandemic research offers two hypotheses: economic theory argues optimal outcomes result from partners specialising in different tasks, whereas psychological theory argues for a more equitable division of labour. The question of which approach optimizes well-being is more pressing in recent times, with COVID-19 school closures leaving many couples with the burden of homeschooling. It is unknown whether specialisation or equity confer more benefits for mandated homeschoolers, relative to non-homeschoolers or voluntary homeschoolers. Couples (n = 962) with children in grades 1-5 completed measures of workload division and parental well-being. A linear mixed modelling in the total sample revealed that specialisation, but not equity, promoted increased parental emotional and relationship well-being. These relations were moderated by schooling status: voluntary homeschoolers' well-being benefitted from specialisation, whereas mandated homeschoolers' well-being did not benefit from either strategy; non-homeschoolers well-being benefitted from both strategies. Across the mixed-gender couples, mothers' and fathers' well-being both benefitted from specialisation; equity was only beneficial for mothers' well-being. Overall, couples might be advised to adopt highly equitable and specialised arrangements to promote both parents' well-being.

Depressive Symptoms and Conflict Behaviors: A Test of the Stress Generation Hypothesis in Romantic Couples During the COVID-19 Pandemic

Introduction: In early 2020, North American jurisdictions required households (e.g., romantic couples) to isolate together to help mitigate the spread of COVID-19. This study provides a first look at the interplay of depressive symptoms and conflict behaviors among isolating couples, including tests of predictions of the stress generation hypothesis. Methods: Mixed-gender couples residing in Canada (N = 711) completed online measures across two waves. We used the actor-partner interdependence mediation model, with Wave 1 depressive symptoms as the predictor, Wave 1 conflict enactment as the mediator, and Wave 2 depressive symptoms as the outcome. Results: Depressive symptoms showed stability across Wave 1 and 2. Wave 1 depressive symptoms showed associations with Wave 1 conflict enactment. For men (but not women), Wave 1 conflict enactment was associated with their own and their partner's Wave 2 depressive symptoms. For both partners, Wave 1 conflict enacted by men mediated the association between Wave 1 depressive symptoms and Wave 2 depressive symptoms. Discussion: Our study confirms and extends the stress generation hypothesis to the pandemic context, showing that depressive symptoms may partially contribute to conflict for isolating couples and that conflict behaviors enacted by men toward their partner can exacerbate depressive symptoms in both partners.

Clarifying the Factor Structure of the Self-Compassion Scale

Abstract. Self-compassion is associated with greater well-being and lower psychopathology. There are mixed findings regarding the factor structure and scoring of the Self-Compassion Scale (SCS). Using confirmatory factor analysis, we tested and conducted nested comparisons of six previously posited factor structures of the SCS. Participants were N = 1,158 Canadian undergraduates (72.8% women, 26.6% men, 0.6% non-binary; Mage = 19.0 years, SD = 2.3). Results best supported a two-factor hierarchical model with six lower-order factors. A general self-compassion factor was not supported at the higher- or lower-order levels; thus, a single total score is not recommended. Given the hierarchical structure, researchers are encouraged to use structural equation models of the SCS with two latent variables: self-caring and self-coldness. A strength of this study is the large sample, while the undergraduate sample may limit generalizability.

Plasma concentrations of granulocyte colony-stimulating factor (G-CSF) in patients with substance use disorders and comorbid major depressive disorder

Granulocyte colony-stimulating factor (G-CSF) has raised much interest because of its role in cocaine addiction in preclinical models. We explored the plasma concentrations of G-CSF in patients diagnosed with substance use disorder (SUD) and highly comorbid psychiatric disorders. In particular, we investigated the association between G-CSF concentrations and comorbid major depressive disorder (MDD) in patients with cocaine and alcohol use disorders (CUD and AUD, respectively). Additionally, patients with MDD but not SUD were included in the study. Three hundred and eleven participants were enrolled in this exploratory study: 136 control subjects, 125 patients with SUD (SUD group) from outpatient treatment programs for cocaine (N = 60, cocaine subgroup) and alcohol (N = 65, alcohol subgroup), and 50 patients with MDD but not SUD (MDD group) from primary-care settings. Participants were assessed based on DSM-IV-TR criteria, and a blood sample was collected to examine the plasma concentrations of G-CSF. G-CSF concentrations were negatively correlated with age in the entire sample (r = - 0.233, p < 0.001) but not in the patients with MDD. G-CSF concentrations were lower in patients with SUD than in controls (p < 0.05), specifically in the cocaine subgroup (p < 0.05). Patients with SUD and comorbid MDD had lower G-CSF concentrations than patients with SUD but not comorbid MDD or controls (p < 0.05). In contrast, patients with MDD but not SUD showed no differences compared with their controls. The negative association between G-CSF concentrations and age in the sample was not observed in patients with MDD. G-CSF concentrations were decreased in patients with SUD and comorbid MDD but not in patients with MDD. Therefore, G-CSF may be useful to improve the stratification of patients with dual diagnosis seeking treatment. Further investigation is needed to explore the impact of sex and type of drug on the expression of G-CSF.

Personality to Prescription Drug Misuse in Adolescents: Testing Affect Regulation, Psychological Dysregulation, and Deviance Proneness Pathways

Background: Fifteen to 25-year-olds are the age group most likely to misuse prescription drugs. Few studies have tested theory-driven models of adolescent risk for prescription drug misuse. Moreover, rarely are distinct pathways to different forms of prescription drug misuse considered. Methods: We tested mediational paths from personality to mental health symptoms to prescription drug misuse, informed by etiological models of addiction. We specified pathways from particular personality traits to unique forms of prescription drug misuse via specific mental health symptoms. We used semi-longitudinal data collected across two waves of the Co-Venture Trial. Our sample included students from 31 Canadian high schools tested in Grade 9 (n = 3,024) and again in Grade 10 (n = 2,869; 95% retention). Personality (hopelessness, anxiety sensitivity, impulsivity, sensation seeking) was assessed in Grade 9. Mental health symptoms (depression, anxiety, ADHD, conduct disorder) and prescription drug misuse (opioids, sedatives/tranquilizers, stimulants) were assessed at both time points. Results: Consistent with the negative affect regulation model, hopelessness was specifically associated with opioid misuse via depressive symptoms, and anxiety sensitivity was specifically associated with sedative/tranquilizer misuse via anxiety symptoms. Consistent with positive affect regulation, sensation seeking was directly associated with stimulant misuse. Consistent with the psychological dysregulation model, impulsivity was associated with stimulant misuse via ADHD symptoms. And consistent with the deviance proneness model, impulsivity was also associated with unconstrained (i.e., all three forms of) prescription drug misuse via conduct disorder symptoms. Conclusions: Screening for adolescents high in hopelessness, anxiety sensitivity, sensation seeking, or impulsivity and providing them with personality-matched cognitive-behavioral interventions may be helpful in preventing or mitigating prescription drug misuse. Our results point to the specific mental health symptoms that are important to target in each of these personality-matched interventions.

The effects of excessive and compulsive online searching of COVID-19 information (“cyberchondria”) on general and COVID-19-specific anxiety and fear in romantic couples during lockdown

Introduction

Cyberchondria involves excessive and uncontrollable online searching of information about a perceived illness. This behavior can cause or maintain distress.

Objectives

Little is known about cyberchondria during the COVID-19 pandemic or how cyberchondria in one individual may cause distress in their significant other if they are self-isolating together; our study sought to fill these gaps.

Methods

We conducted a Qualtrics Panel survey with 760 cohabitating Canadian couples; in June 2020, participants retrospectively reported on their cyberchondria behavior, general anxiety, and COVID-19 fears during the month of April 2020, while adhering to stay-at-home advisories. Two separate actor-partner interdependence models (APIMs) used cyberchondria excessiveness and compulsion to predict generalized anxiety and COVID-19 danger/contamination fears in the actor and partner.

Results

Both cyberchondria excessiveness and compulsion were associated with higher general anxiety and higher COVID-19 danger/contamination fears in the individual (actor effects). Partner cyberchondria compulsion was associated with higher general anxiety in the individual whereas partner cyberchondria excessiveness was associated with higher COVID-19 danger/contamination fears in the individual (partner effects).

Conclusions

Findings suggest that excessive and uncontrollable searching of information about COVID-19 on the internet during lockdown may contribute to distress in both the individual engaging in the cyberchondria behavior, and in their romantic partner. Moreover, different aspects of cyberchondria in the partner (compulsion vs. excessiveness) appears to contribute to general vs. COVID-19-specific anxiety/fears in the partner, respectively. Future research should examine mechanisms underlying the observed partner effects (e.g., co-rumination, social contagion) and reasons for the differential partner effects of cyberchondria components.

Variation in chemokines plasma concentrations in primary care depressed patients associated with Internet-based cognitive-behavioral therapy

How the presence of inflammation has repercussions for brain function is a topic of active research into depression. Signals released from immune system-related cells, including chemokines, might be indicative of active depression and can, hypothetically, serve as biomarkers of response to interventions, both pharmacological and psychological. The objective of this study is to analyze the peripheral plasma concentrations of CXCL12, CCL11, CX3CL1 and CCL2 in a cohort of depressed primary-care patients, as well as their evolution after an internet-based cognitive-behavioral intervention. The concentrations of those chemokines were measured in 66 primary-care patients with mild and moderate depression, before and after the intervention, as well as 60 controls, using multiplex immunoassays. Concentrations of CXCL12 and CCL2 were significantly higher in the clinical sample in comparison with controls. A stable multivariate discriminative model between both groups was found. Concentrations of all chemokines decreased after the internet-based psychological intervention. These findings support the implication of chemokines in depression, even in a sample of patients with mild and moderate severity. Furthermore, they demonstrate the need for further multidisciplinary research that confirms how biomarkers such as plasma chemokines can serve as a marker for depression and are sensitive to non-pharmacological interventions.

Specificity of personality relationships to particular forms of concurrent substance use among methadone maintenance therapy clients

OBJECTIVE

A mainstay treatment for opioid addiction in North America is methadone maintenance therapy (MMT) - a form of opiate agonist therapy (OAT). While efficacious for treating opioid addiction, MMT fails to address the concurrent polysubstance use that is common among opioid dependent clients. Moreover, psychosocial approaches for addressing polysubstance use during MMT are lacking. Our study's goals were to validate the use of the four-factor personality model of substance use vulnerability in MMT clients, and to demonstrate theoretically-relevant relationships of personality to concurrent substance use while receiving MMT.

METHOD

Respondents included 138 daily-witnessed MMT clients (65.9% male, 79.7% Caucasian), mean age (SD) 40.18 (11.56), recruited across four Canadian MMT clinics. Bayesian confirmatory factor analysis was used to establish the structural validity of the four-factor personality model of substance use vulnerability (operationalized with the Substance Use Risk Profile Scale [SURPS]) in MMT clients. SURPS personality scores were then used as predictors for specific forms of recent (past 30-day) substance use.

RESULTS

Using a latent hierarchal model, hopelessness was associated with recent opioid use; anxiety sensitivity with recent tranquilizer use; and sensation seeking with recent alcohol, cannabis, and stimulant use.

CONCLUSION

Personality is associated with substance use patterns and may be an appropriate target for intervention for those undergoing MMT to reduce opioid use, and potentially dangerous concurrent use of other drugs, while receiving methadone.

Bupropion, a possible antidepressant without negative effects on alcohol relapse

RATIONALE

the role that antidepressants play on alcohol consumption is not well understood. Previous studies have reported that treatment with a Selective Serotonin Reuptake Inhibitor (SSRIs) increases alcohol consumption in an animal model of relapse, however it is unknown whether this effect holds for other antidepressants such as the atypical dopamine/norepinephrine reuptake inhibitors (SNDRI).

OBJECTIVES

the main goal of the present study was to compare the effects of two classes of antidepressants drugs, bupropion (SNDRI) and fluoxetine (SSRI), on alcohol consumption during relapse. Since glutamatergic and endocannabinoid signaling systems plays an important role in alcohol abuse and relapse, we also evaluated the effects of both antidepressants onthe expression of the main important genes and proteins of both systems in the prefrontal cortex, a critical brain region in alcohol relapse.

METHODS

rats were trained to self-administered alcohol. During abstinence, rats received a 14d-treatment with vehicle, fluoxetine (10 mg/kg) or bupropion (20 mg/kg), and we evaluated alcohol consumption during relapse for 3 weeks. Samples of prefrontal cortex were taken to evaluate the mRNA and protein expression of the different components of glutamatergic and endocannabinoid signaling systems.

RESULTS

fluoxetine treatment induced a long-lasting increase in alcohol consumption during relapse, an effect that was not observed in the case of bupropion treatment. The observed increases in alcohol consumption were accompanied by distinct alterations in the glutamate and endocannabinoid systems.

CONCLUSIONS

our results suggest that SSRIs can negatively impact alcohol consumption in relapse while SNDRIs have no effects. The observed increase in alcohol consumption are accompanied by functional alterations in the glutamatergic and endocannabinoid systems. This finding could open new strategies for the treatment of depression in patients with alcohol use disorders.

Drinking to keep pace: A study of the moderating influence of extraversion on alcohol consumption similarity in drinking buddy dyads

Heavy drinking in college remains a concerning issue due to its association with both health and social risks. While modelling contributes to college students' alcohol use, little work has identified who might be most susceptible to modelling effects. Peterson, Morey, and Higgins (2005) found males high in extraversion were more susceptible than others to matching strangers' drinking levels in a lab-based social drinking context. We sought to replicate and extend these findings by examining the impact of extraversion on social matching of alcohol consumption levels of a drinking buddy in college students' real lives. First, a significant relationship between buddy and target drinking levels was predicted in dyadic drinking situations. Additionally, we hypothesized that target extraversion would positively moderate this buddy- target drinking levels relationship. Data from 149 college student targets (74% F) and their same-sex drinking buddy were collected through online questionnaires examining targets' extraversion levels, and the drinking levels and social drinking context of both dyad members through a 30-day Timeline Followback measure. Linear mixed-effects modelling confirmed the study's first social matching hypothesis, while also revealing that target extraversion positively moderated the relationship between buddy and target daily drinking levels in dyadic drinking contexts. Findings extend those of Peterson et al. (2005) to a real-world (vs. lab-based) context, modelling of a buddy's (vs. stranger's) drinking levels, and a sample including women (vs. all-male). Results provide novel information on extraversion's contributions to modelling of alcohol use that may guide useful modifications to personality-based interventions for reducing college student heavy drinking.

Evaluation of plasma cytokines in patients with cocaine use disorders in abstinence identifies transforming growth factor alpha (TGFα) as a potential biomarker of consumption and dual diagnosis

BACKGROUND

Cocaine use disorder (CUD) is a complex health condition, especially when it is accompanied by comorbid psychiatric disorders (dual diagnosis). Dual diagnosis is associated with difficulties in the stratification and treatment of patients. One of the major challenges in clinical practice of addiction psychiatry is the lack of objective biological markers that indicate the degree of consumption, severity of addiction, level of toxicity and response to treatment in patients with CUD. These potential biomarkers would be fundamental players in the diagnosis, stratification, prognosis and therapeutic orientation in addiction. Due to growing evidence of the involvement of the immune system in addiction and psychiatric disorders, we tested the hypothesis that patients with CUD in abstinence might have altered circulating levels of signaling proteins related to systemic inflammation.

METHODS

The study was designed as a cross-sectional study of CUD treatment-seeking patients. These patients were recruited from outpatient programs in the province of Malaga (Spain). The study was performed with a total of 160 white Caucasian subjects, who were divided into the following groups: patients diagnosed with CUD in abstinence (N = 79, cocaine group) and matched control subjects (N = 81, control group). Participants were clinically evaluated with the diagnostic interview PRISM according to the DSM-IV-TR, and blood samples were collected for the determination of chemokine C-C motif ligand 11 (CCL11, eotaxin-1), interferon gamma (IFNγ), interleukin-4 (IL-4), interleukin-8 (IL-8), interleukin-17α (IL-17α), macrophage inflammatory protein 1α (MIP-1α) and transforming growth factor α (TGFα) levels in the plasma. Clinical and biochemical data were analyzed in order to find relationships between variables.

RESULTS

While 57% of patients with CUD were diagnosed with dual diagnosis, approximately 73% of patients had other substance use disorders. Cocaine patients displayed greater cocaine symptom severity when they were diagnosed with psychiatric comorbidity. Regarding inflammatory factors, we observed significantly lower plasma levels of IL-17α (p < 0.001), MIP-1α (p < 0.001) and TGFα (p < 0.05) in the cocaine group compared with the levels in the control group. Finally, there was a significant primary effect of dual diagnosis on the plasma concentrations of TGFα (p < 0.05) in the cocaine group, and these levels were lower in patients with dual diagnoses.

DISCUSSION

IL-17α, MIP-1α and TGFα levels are different between the cocaine and control groups, and TGFα levels facilitate the identification of patients with dual diagnosis. Because TGFα reduction is associated with enhanced responses to cocaine in preclinical models, we propose TGFα as a potential biomarker of complex CUD in humans.

Adherence predictors in an Internet-based Intervention program for depression

Internet-delivered psychotherapy has been demonstrated to be effective in the treatment of depression. Nevertheless, the study of the adherence in this type of the treatment reported divergent results. The main objective of this study is to analyze predictors of adherence in a primary care Internet-based intervention for depression in Spain. A multi-center, three arm, parallel, randomized controlled trial was conducted with 194 depressive patients, who were allocated in self-guided or supported-guided intervention. Sociodemographic and clinical characteristics were gathered using a case report form. The Mini international neuropsychiatric interview diagnoses major depression. Beck Depression Inventory was used to assess depression severity. The visual analogic scale assesses the respondent's self-rated health and Short Form Health Survey was used to measure the health-related quality of life. Age results a predictor variable for both intervention groups (with and without therapist support). Perceived health is a negative predictor of adherence for the self-guided intervention when change in depression severity was included in the model. Change in depression severity results a predictor of adherence in the support-guided intervention. Our findings demonstrate that in our sample, there are differences in sociodemographic and clinical variables between active and dropout participants and we provide adherence predictors in each intervention condition of this Internet-based program for depression (self-guided and support-guided). It is important to point that further research in this area is essential to improve tailored interventions and to know specific patients groups can benefit from these interventions.

Differences in clinical intrusive thoughts between obsessive-compulsive disorder, generalized anxiety disorder, and hypochondria

Differences and similarities between intrusive thoughts typical of obsessive-compulsive disorder, generalized anxiety disorder, and hypochondriasis are relevant for their differential diagnosis, formulation, and psychological treatment. Previous research in non-clinical samples pointed out the relevance of some process variables, such as responsibility, guilt, or neutralization strategies. This research is aimed to investigate the differences and similarities between clinical obsessions, worries, and illness intrusions in some of these process variables. A second aim is to identify models based on these variables that could reliably differentiate between them. Three groups of patients with obsessive-compulsive disorder (n = 35; 60% women, mean age 38.57), generalized anxiety disorder (n = 36; 61.1% women, mean age 41.50), and hypochondriasis (n = 34; 70.6% women, mean age 31.59) were evaluated using the Cognitive Intrusions Questionnaire-Transdiagnostic Version (Romero-Sanchiz, Nogueira-Arjona, Godoy-Ávila, Gavino-Lázaro, & Freeston, ). The results showed that some appraisals (e.g., responsibility or egodystonicity), emotions (e.g., guilt or insecurity), neutralization strategies, and other variables (e.g., verbal content or trigger from body sensation) are relevant for the discrimination between obsessions, worries, and illness intrusions. The results also showed 3 stable models based on these variables for the discrimination between these thoughts. The implication of these results in the diagnosis, formulation, and psychological treatment of obsessive-compulsive disorder, generalized anxiety disorder, and hypochondriasis is discussed.

An Internet-Based Intervention for Depression in Primary Care in Spain: A Randomized Controlled Trial

Background

Depression is the most prevalent cause of illness-induced disability worldwide. Face-to-face psychotherapeutic interventions for depression can be challenging, so there is a need for other alternatives that allow these interventions to be offered. One feasible alternative is Internet-based psychological interventions. This is the first randomized controlled trial (RCT) on the effectiveness of an Internet-based intervention on depression in primary health care in Spain.

Objective

Our aim was to compare the effectiveness of a low-intensity therapist-guided (LITG) Internet-based program and a completely self-guided (CSG) Internet-based program with improved treatment as usual (iTAU) care for depression.

Methods

Multicenter, three-arm, parallel, RCT design, carried out between November 2012 and January 2014, with a follow-up of 15 months. In total, 296 adults from primary care settings in four Spanish regions, with mild or moderate major depression, were randomized to LITG (n=96), CSG (n=98), or iTAU (n=102). Research completers at follow-up were 63.5%. The intervention was Smiling is Fun, an Internet program based on cognitive behavioral therapy. All patients received iTAU by their general practitioners. Moreover, LITG received Smiling is Fun and the possibility of psychotherapeutic support on request by email, whereas CSG received only Smiling is Fun. The main outcome was the Beck Depression Inventory-II at 3 months from baseline. Mixed-effects multilevel analysis for repeated measures were undertaken.

Results

There was no benefit for either CSG [(B coefficient=-1.15; P=.444)] or LITG [(B=-0.71; P=.634)] compared to iTAU, at 3 months. There were differences at 6 months [iTAU vs CSG (B=-4.22; P=.007); iTAU vs LITG (B=-4.34; P=.005)] and 15 months [iTAU vs CSG (B=-5.10; P=.001); iTAU vs LITG (B=-4.62; P=.002)]. There were no differences between CSG and LITG at any time. Adjusted and intention-to-treat models confirmed these findings.

Conclusions

An Internet-based intervention for depression combined with iTAU conferred a benefit over iTAU alone in the Spanish primary health care system.

Trial Registration

Clinicaltrials.gov NCT01611818; https://register.clinicaltrials.gov/prs/app/action/SelectProtocol? selectaction=Edit&uid=U0001NPQ&ts=2&cx=gctdh2&sid=S0003KJ6 (Archived by WebCite at http://www.webcitation.org/6jbsUvUDz)