Factors associated with high and low mental well-being in Spanish university students.

BACKGROUND: Previous studies conducted in various nationally representative samples of the general population show that positive mental health is related to social prosperity. However, specific studies in university populations are scarce. In this study, we set out to explore factors associated with mental well-being (MWB) in a representative sample of first-year university students in Spain. METHODS: MWB was assessed with the short version of the Warwick-Edinburgh Mental Well-Being Scale. Multinomial logistic regressions were performed to explore the association between different blocks of factors, including relational, adversity, stress, lifestyle, spiritual, health, and self-perceived health variables with high and low MWB, controlling for sociodemographic and university-related variables. RESULTS: Data from 2082 students (18.6 ± 1.2 years; 56.6 % females) were analysed. Being male, being born in a foreign country, "high" self-perceived support, and "high" self-perceived mental health increased the odds of high MWB. Growing up in the suburbs, stressful experiences, and anxiety disorders reduced the odds of high MWB. Mood and anxiety disorders increased the odds of low MWB. "Middle" self-perceived support, sleeping ≥8 h per day, and "high" self-perceived mental health reduced the odds of low MWB. LIMITATIONS: The cross-sectional design precludes establishing causal relationships. Data were collected in the 2014-15 academic year using self-reported online surveys. CONCLUSION: The factors associated with high and low MWB do not always mirror each other, so specific plans are needed to successfully address each of the two poles. Interventions and policies targeting these factors for health promotion and disease prevention would improve the MWB of university students.

Suicidal ideation risk among LGB Spanish university students: The role of childhood and adolescence adversities and mental disorders.

BACKGROUND: Childhood/adolescence adversities and mental disorders are higher among LGB youths. AIMS: To evaluate the role of childhood maltreatment, bullying, and mental disorders on the association between sexual orientation and suicidal ideation (SI); and the role of mental disorders on the association between sexual orientation discrimination and SI. METHODS: Baseline and 12-month follow-up online surveys of Spanish first-year university students (18-24-year-olds). Multivariable logistic regression models assessed the effects of childhood/adolescence adversities and mental disorders in the relationship between sexual orientation, discrimination and SI. RESULTS: A total of 1224 students were included (16.4 % LGBs). Risk factors of lifetime SI were sexual orientation (OR 2.4), any bullying (OR 2.4), any childhood maltreatment (OR 4.0), and any mental disorders (OR 3.8). Final model Area Under the Curve (AUC) 0.78. Among homosexual and bisexual students, discrimination showed increased risk of 12-month SI (OR 2.2), but this effect was no longer statistically significant when any 12-month mental disorder was added (OR 7.8). Final model AUC 0.72. LIMITATIONS: Sample of interest was relatively small. But it was similar to comparable studies and statistical adjustments have been performed. Assessment of mental disorders and SI was not based on clinical assessment. However, validated scales showing good diagnostic agreement with clinical judgement were used. CONCLUSIONS: Childhood/adolescence adversities and mental disorders interact in the association between sexual orientation and SI. Mental disorders may mediate the association between sexual orientation discrimination and SI. Further research using larger samples and causal modelling approach assessing the mediators of SI risk among LGBs is needed.

Clinical predictors of suicidal ideation, suicide attempts and suicide death in depressive disorder: a systematic review and meta-analysis.

Patients with depressive disorders are especially prone to suicide risk. Among the clinical predictors of suicidality, those specifically related to depressive disorders have not been accurately detailed. Our aim was to conduct a systematic review and meta-analysis of studies reporting longitudinal predictors of suicidal ideation, suicide attempts and suicide death within depression, including diagnostic subtypes, symptoms, clinical course, and assessment scales. A systematic search of the literature between 2001 and 2022 identified 4422 references, among which 19 studies providing 45 different predictors of suicidality met the inclusion criteria. Random effects meta-analyses were performed for 22 predictors, three for suicidal ideation, eleven for suicide attempts and eight for suicide death. Heterogeneity and publication bias were inspected through I2 tests and Egger's tests respectively. Meta-analysis results showed that severity of hopelessness predicted suicidal ideation and suicide attempts. History of suicide attempts, suicidal ideation, severe depression, and psychotic symptoms predicted subsequent suicide attempts and suicide death. Time to full remission and sleep disturbances were also found as relevant predictors of future suicide behaviours. This review specifies which predictors of suicidality within the clinical features of depression will help clinicians and policy makers to better prevent suicide risk in patients with depressive disorders. Further longitudinal studies are needed to reliably assess the predictive ability of our results and to analyse other possible clinical predictors to prevent suicidality, especially with regard to suicidal ideation.

Soft Drinks and Symptoms of Depression and Anxiety in Overweight Subjects: A Longitudinal Analysis of an European Cohort.

BACKGROUND: Studies about the association of carbonated/soft drinks, coffee, and tea with depression and anxiety are scarce and inconclusive and little is known about this association in European adults. Our aim was to examine the association between the consumption of these beverages and depressive and anxiety symptom severity. METHODS: A total of 941 European overweight adults (mean age, 46.8 years) with subsyndromal depression that participated in the MooDFOOD depression prevention randomized controlled trial (Clinical Trials.gov identifier: NCT2529423; date of the study: from 2014 to 2018) were analyzed. Depressive and anxiety symptom severity and beverage consumption were assessed using multilevel mixed-effects ordinal logistic regression models for each beverage consumption (carbonated/soft drink with sugar, carbonated/soft drink with non-nutritive sweeteners, coffee, and tea) with the three repeated measures of follow-up (baseline and 6 and 12 months). A case report form for participants' sociodemographic and clinical characteristics, the Food Frequency Questionnaire, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder 7-Item Scale, the MINI International Neuropsychiatric Interview 5.0, the Short Questionnaire to Assess Health-Enhancing Psychical Activity, and the Alcohol Use Disorders Identification Test were the research tools used. RESULTS: Daily consumption of carbonated/soft drinks with sugar was associated with a higher level of anxiety. Trends towards significance were found for associations between both daily consumption of carbonated/soft drinks with sugar and non-nutritive sweeteners and a higher level of depression. No relationship was found between coffee and tea consumption and the level of depression and anxiety. CONCLUSIONS: The high and regular consumption of carbonated/soft drink with sugar (amount of consumption: ≥1 unit (200 mL)/day) tended to be associated with higher level of anxiety in a multicountry sample of overweight subjects with subsyndromal depressive symptoms. It is important to point out that further research in this area is essential to provide valuable information about the intake patterns of non-alcoholic beverages and their relationship with affective disorders in the European adult population.

Characteristics of patients with panic disorder attended in primary care during the COVID-19 pandemic: A cross-sectional multicenter study.

OBJECTIVE: To assess the prevalence of panic disorder during the second and third waves of the COVID-19 pandemic. DESIGN: Cross-sectional multicenter study. SETTING: Primary care. PARTICIPANTS: Participating primary care physicians selected patients visiting their primary care centers for any reason over a 16-month period. MAIN OUTCOME MEASURE: Diagnosis of panic disorder was established using The Primary Care Evaluation of Mental Disorders (PRIME-MD) instrument. RESULTS: Of a total of 678 patients who met the inclusion criteria, 36 presented with panic disorder, with a prevalence of 5.3% (95% confidence interval 3.6-7.0). A total of 63.9% of cases occurred in women. The mean age was 46.7±17.1 years. Socioeconomic difficulties, such as very low monthly income rate, unemployment, and financial constraints to make housing payments and to make ends meet were more frequent in patients with panic disorders as compared to patients without panic disorder. A high level of stress (Holmes-Rahe scale>300), concomitant chronic fatigue syndrome and irritable bowel disease, and having financial difficulties in the past 6 months were associated with factors of panic disorder. DISCUSSION: This study characterizes patients with panic disorder diagnosed with a validated instrument during the COVID-19 pandemic and identified risk factors for this disease. CONCLUSIONS: In non-selected consecutive primary care attendees in real-world conditions during the COVID-19 pandemic, the prevalence of panic disorder was 5.3%, being more frequent in women. There is a need to enhance primary care resources for mental health care during the duration of the pandemic and beyond.

Experience sampling methods for the personalised prediction of mental health problems in Spanish university students: protocol for a survey-based observational study within the PROMES-U project.

INTRODUCTION: There is a high prevalence of mental health problems among university students. Better prediction and treatment access for this population is needed. In recent years, short-term dynamic factors, which can be assessed using experience sampling methods (ESM), have presented promising results for predicting mental health problems. METHODS AND ANALYSIS: Undergraduate students from five public universities in Spain are recruited to participate in two web-based surveys (at baseline and at 12-month follow-up). A subgroup of baseline participants is recruited through quota sampling to participate in a 15-day ESM study. The baseline survey collects information regarding distal risk factors, while the ESM study collects short-term dynamic factors such as affect, company or environment. Risk factors will be identified at an individual and population level using logistic regressions and population attributable risk proportions, respectively. Machine learning techniques will be used to develop predictive models for mental health problems. Dynamic structural equation modelling and multilevel mixed-effects models will be considered to develop a series of explanatory models for the occurrence of mental health problems. ETHICS AND DISSEMINATION: The project complies with national and international regulations, including the Declaration of Helsinki and the Code of Ethics, and has been approved by the IRB Parc de Salut Mar (2020/9198/I) and corresponding IRBs of all participating universities. All respondents are given information regarding access mental health services within their university and region. Individuals with positive responses on suicide items receive a specific alert with indications for consulting with a health professional. Participants are asked to provide informed consent separately for the web-based surveys and for the ESM study. Dissemination of results will include peer-reviewed scientific articles and participation in scientific congresses, reports with recommendations for universities' mental health policy makers, as well as a well-balanced communication strategy to the general public. STUDY REGISTRATION: osf.io/p7csq.

Longitudinal associations between executive function impairments and suicide risk in patients with major depressive disorder: A 1-year follow-up study.

Impaired executive function (EF) is a key feature of patients with major depressive disorder (MDD) that several studies have linked to suicidal ideation and suicide attempts. This is the first longitudinal study to examine the association between impaired EF and suicide risk in adult patients with MDD. Longitudinal prospective study with 3 assessment points: baseline, 6 and 12 months. The Columbia-Suicide Severity Rating Scale (C-SSRS) was used to assess suicidality. The Cambridge Neuropsychological Test Automated Battery (CANTAB) was used to assess EF. The association between EF impairments and suicidality was analyzed using mixed-effects models. Out of 167 eligible outpatients, 104 were included in the study. Of these, 72 were re-evaluated at 6 months and 60 at 12 months, obtaining 225 complete observations of the EF. Impaired decision-making and risk-taking behavior were associated with suicidal ideation. Difficulty in impulse control was related to suicidal ideation and to greater severity of suicidal ideation. Impaired spatial planning and working memory was linked to suicide attempts. Our results add to previous literature that the association between EF impairments and suicidality is maintained over the long term, supporting it as a longitudinal risk factor and a possible neurocognitive marker of suicide in patients with MDD.

Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications.

Edge artificial intelligence (AI) is receiving a tremendous amount of interest from the machine learning community due to the ever-increasing popularization of the Internet of Things (IoT). Unfortunately, the incorporation of AI characteristics to edge computing devices presents the drawbacks of being power and area hungry for typical deep learning techniques such as convolutional neural networks (CNNs). In this work, we propose a power-and-area efficient architecture based on the exploitation of the correlation phenomenon in stochastic computing (SC) systems. The proposed architecture solves the challenges that a CNN implementation with SC (SC-CNN) may present, such as the high resources used in binary-to-stochastic conversion, the inaccuracy produced by undesired correlation between signals, and the complexity of the stochastic maximum function implementation. To prove that our architecture meets the requirements of edge intelligence realization, we embed a fully parallel CNN in a single field-programmable gate array (FPGA) chip. The results obtained showed a better performance than traditional binary logic and other SC implementations. In addition, we performed a full VLSI synthesis of the proposed design, showing that it presents better overall characteristics than other recently published VLSI architectures.

Factors associated with sick leave duration in patients suffering from major depressive disorder initiating antidepressant treatment: a real-world evidence study in Germany and Spain.

OBJECTIVE: To describe MDD patients starting antidepressant (AD) treatment by pharmacological approach and identify factors associated with a longer sick leave (SL) duration. METHODS: Retrospective study on IQVIA German Disease Analyser (specialists) and Spanish Longitudinal Patient Database (general practitioners and specialists). MDD patients initiating AD treatment between July 2016-June 2018 were grouped by therapeutic approach (AD monotherapy vs. combination/switch/add-on) and their characteristics were analysed descriptively. Multiple logistic regression models were run to evaluate factors affecting SL duration (i.e., >30 days). RESULTS: One thousand six hundred and eighty-five patients (monotherapy: 58%; combination/switch/add-on: 42%) met inclusion criteria for Germany, and 1817 for Spain (monotherapy: 83%; combination/switch/add-on: 17%). AD treatment influenced SL duration: combination/switch/add-on patients had a 2-fold and a 4-fold risk of having >30 days of SL than monotherapy patients, respectively in Germany and Spain. Patients with a gap of time between MDD diagnosis and AD treatment initiation had a higher likelihood of experiencing a longer SL both in Germany and Spain (38% higher likelihood and 6-fold risk of having >30 days of SL, respectively). CONCLUSIONS: A careful and timely selection of AD treatment approach at the time of MDD diagnosis may improve functional recovery and help to reduce SL, minimising the socio-economic burden of the disease.Key pointsThe major depressive disorder has a substantial impact on work absenteeism.The present study aimed to describe MDD patients starting antidepressant (AD) treatment depending on the pharmacological approach and to identify factors associated with longer sick leave (SL) duration.Patients receiving AD monotherapy had a lower likelihood of having more than 30 days of sick leave than those receiving AD combination/switch/add-on.Patients for whom a gap of time between MDD diagnosis and initiation of AD treatment was observed, showed a higher likelihood of having more than 30 days of sick leave.Because findings from this analysis relied on secondary data, the authors would like to claim the urgency of conducting prospective observational studies that further investigate the effect that different AD therapeutic approaches and timely initiation of treatment might exert on patients' recovery.

Efficacy of an adjuvant non-face-to-face multimodal lifestyle modification program for patients with treatment-resistant major depression: A randomized controlled trial.

BACKGROUND: The high prevalence of depression is partly attributable to the poor response of patients to first-line antidepressants. Multimodal programs that promote a healthy lifestyle are successful in treating depression when used as a complementary therapy, but their medium- and long-term benefits have not been demonstrated for patients with treatment-resistant depression (TRD). The main aim of this study was to compare the effectiveness of a lifestyle modification program (LMP) with mindfulness-based cognitive therapy (MBCT) and a placebo-control (written suggestions for lifestyle changes) in Spanish patients with TRD. METHODS: This controlled clinical trial randomized 94 patients with TRD into 3 arms. The primary outcome was the Beck Depression Inventory-II (BDI-II) score at baseline, 2, 6 and 12 months. The secondary outcomes were changes in scores that evaluated quality-of-life, adherence to the Mediterranean diet, physical activity, and social support. RESULTS: Relative to the placebo group, the LMP and MBCT groups had significantly better quality of life (p = 0.017; p = 0.027), and the LMP group had significantly better adherence to the Mediterranean diet (p<0.001) and reduced use of antidepressants (p = 0.036). However, the three groups showed no significant differences in BDI-II score. LIMITATIONS: Only about half of the planned 180 patients were recruited, in part due to the COVID-19 pandemic. CONCLUSIONS: There was no evidence that the LMP treatment significantly reduced symptoms of depression relative to the other groups during the COVID-19 lockdown.

Associations between unhealthy lifestyle and depression: Cross-sectional results from the Spanish National Health Survey.

INTRODUCTION: Depression usually worsens lifestyle habits, but previous evidence also suggests that an unhealthy lifestyle (UL) increases the risk of depression. Many studies have analyzed the association between lifestyle and depression in several nationally representative samples, but none have done so in the Spanish adult population. Our aim was to examine the associations between UL habits and depression in Spain. MATERIALS AND METHODS: Analysis of cross-sectional data from the latest National Health Survey published in 2018 (N=23,089). Data on depression and 4 lifestyle factors (diet, physical exercise, smoking, and alcohol consumption) were used. These factors were combined into an UL index ranging from 0 (healthiest lifestyle) to 4 (unhealthiest lifestyle). The prevalence of depression at different levels of the UL index, and the association between depression and both the cumulative UL index and the 4 UL factors was analyzed using parametric and non-parametric tests. RESULTS: Sedentarism was the most prevalent UL factor, followed by unhealthy diet, smoking and high-risk alcohol consumption. Having ≥1 UL factors was associated with a higher prevalence of depression compared to having 0 UL factors (2.5% vs. ≥5.2%), regardless of the cumulative number UL factors (1, 2, 3 or 4). Being physically inactive (OR=1.6) and a smoker (OR=1.3) increased the likelihood of depression. Being a high-risk wine drinker (OR=0.26) decreased the likelihood of depression. Dietary intake was not significant. CONCLUSIONS: The prevalence of depression changes depending on several modifiable lifestyle factors. Policy makers should therefore spare no resources in promoting strategies to encourage healthy lifestyles and prevent the acquisition of UL habits.

Implementation of a psychological online intervention for low to moderate depression in primary care: study protocol.

Background: Depression affects millions of people all over the world and implies a great socioeconomic burden. Despite there are different effective evidence-based interventions for treating depression, only a small proportion of these patients receives an appropriate treatment. In this regard, information and communication technologies (ICTs) can be used with therapeutic aims and this can contribute to make interventions more accessible. One example is "Smiling is fun", an internet-based treatment which has proved to be effective and cost-effective for treating depression in Spanish Primary Care (PC). However, the "know-do gap" between research and clinical settings implies that the actual implementation of such interventions could last up to 20 years. To overcome this obstacle, the implementation research establishes the methodology to implement the advances developed in the laboratories to the health care services maintaining the validity of the intervention and offering specific strategies for the implementation process. Objective: This is the protocol of an implementation study for the Internet-based program "Smiling is fun", which will be conducted on patients with mild-to-moderate depression of Spanish PC settings. In the implementation study, the feasibility, efficacy, cost-efficacy, acceptability, adoption, appropriateness, fidelity, penetration, normalization, and sustainability will be assessed. Methods: The current investigation is a Hybrid Effectiveness-Implementation Type II design. A Stepped Wedge randomized controlled trial design will be used, with a cohort of 420 adults diagnosed with depression (mild-to-moderate) who will undergo a first control phase (no treatment) followed by the intervention, which will last 16 weeks, and finishing with an optional use of the intervention. All patients will be assessed at baseline, during the treatment, and at post-treatment. The study will be conducted in three Spanish regions: Andalusia, Aragon, and the Balearic Islands. Two primary care centers of each region will participate, one located in the urban setting and the other in the rural setting. The primary outcome will be implementation success of the intervention assessing the reach, clinical effect, acceptability, appropriateness, adoption, feasibility, fidelity, penetration, implementation costs and sustainability services. Discussion: "Smiling is Fun", which has already been established as effective and cost-effective, will be adapted according to users' experiences and opinions, and the efficacy and cost-efficacy of the program will again be assessed. The study will point out barriers and facilitators to consider in the implementation process of internet-based psychological interventions in health services. The ultimate goal is to break the research-to-practice split, which would undoubtedly contribute to reduce the high burden of depression in our society. Trial registration: ClinicalTrials.gov, Identifier: NCT05294614.

Development and Evaluation of a Digital Health Intervention to Prevent Type 2 Diabetes in Primary Care: The PREDIABETEXT Study Protocol for a Randomised Clinical Trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a highly prevalent disease associated with an increased risk of comorbidities, premature death, and health costs. Prediabetes is a stage of glucose alteration previous to T2DM, that can be reversed. The aim of the study is to develop and evaluate a low-intensity, multifaceted, digital intervention to prevent T2DM. The intervention comprises: (1) the use of mobile health technology to send tailored text messages promoting lifestyle changes to people at risk of T2DM and (2) the provision of online education to primary healthcare physicians and nurses about management of prediabetes. METHODS: In stages 1-4 we will design, develop and pilot-test the intervention. In Stage 5 we will conduct a phase II, six-month, three-arm, cluster randomized, clinical trial with 42 primary care professionals and 420 patients at risk of T2DM. Patients will be allocated to a control group (usual care), intervention A (patient messaging intervention), or intervention B (patient messaging intervention plus online education to their primary healthcare professionals). The primary outcome will be glycated haemoglobin. All the procedures obtained ethical approval in June 2021 (CEI-IB Ref No: IB4495/21PI). DISCUSSION: Digital health interventions can effectively prevent T2DM and reduce important T2DM risk factors such as overweight or hypertension. In Spain, this type of intervention is understudied. Moreover, there is controversy regarding the type of digital health interventions that are more effective. Findings from this study may contribute to address T2DM prevention, through a low-cost and easily implementable intervention.

Detection and treatment of depressive disorder in the spanish health system: a critical review.

Health care for depression is a major challenge. The aim of this review is to capture the status of the detection, diagno- sis and treatment of depression in the Spanish public health system. The data from the latest National Health Survey (ENSE 2017) have been analyzed and a non-systematic search for publications has been carried out in the PubMed and Scopus databases. We highlight the high specificity and low sensitivity in the detection of cases of major depression by Primary Care (PC) physicians in Spain. The detection of depression is supe- rior in specialized care compared to PC. The new healthcare systems based on the shared approach and the hierarchical model of screening, diagnosis and referral are reviewed and we present improvement proposals based on various programs and models of healthcare for depression.

Predictive models for first-onset and persistence of depression and anxiety among university students.

BACKGROUND: Depression and anxiety are both prevalent among university students. They frequently co-occur and share risk factors. Yet few studies have focused on identifying students at highest risk of first-onset and persistence of either of these conditions. METHODS: Multicenter cohort study among Spanish first-year university students. At baseline, students were assessed for lifetime and 12-month Major Depressive Episode and/or Generalized Anxiety Disorder (MDE-GAD), other mental disorders, childhood-adolescent adversities, stressful life events, social support, socio-demographics, and psychological factors using web-based surveys; 12-month MDE-GAD was again assessed at 12-month follow-up. RESULTS: A total of 1253 students participated in both surveys (59.2% of baseline respondents; mean age = 18.7 (SD = 1.3); 56.0% female). First-onset of MDE-GAD at follow-up was 13.3%. Also 46.7% of those with baseline MDE-GAD showed persistence at follow-up. Childhood/Adolescence emotional abuse or neglect (OR= 4.33), prior bipolar spectrum disorder (OR= 4.34), prior suicidal ideation (OR=4.85) and prior lifetime symptoms of MDE (ORs=2.33-3.63) and GAD (ORs=2.15-3.75) were strongest predictors of first-onset MDE-GAD. Prior suicidal ideation (OR=3.17) and prior lifetime GAD symptoms (ORs=2.38-4.02) were strongest predictors of MDE-GAD persistence. Multivariable predictions from baseline showed AUCs of 0.76 for first-onset and 0.81 for persistence. 74.9% of first-onset MDE-GAD cases occurred among 30% students with highest predicted risk at baseline. LIMITATIONS: Self-report data were used; external validation of the multivariable prediction models is needed. CONCLUSION: MDE-GAD among university students is frequent, suggesting the need to implement web-based screening at university entrance that identify those students with highest risk.

Sick leave duration as a potential marker of functionality and disease severity in depression.

Objective: To discuss the impact of depression on work and how depression-related sick leave duration could be a potential indicator and outcome for measuring functionality in depression.Methods: Our review was based on a literature search and expert opinion that emerged during a virtual meeting of European psychiatrists that was convened to discuss this topic.Results: Current evidence demonstrates that depression-related sick leave duration is influenced by multiple disease-, patient- and work-related factors, together with societal attitudes towards depression and socioeconomic conditions. A wide variety of pharmacological and non-pharmacological treatments and work-based interventions are effective in reducing depression-related sick leave duration and/or facilitating return to work. Recent real-world evidence showed that patients treated with antidepressant monotherapy appear to recover their working life faster than those receiving combination therapy. Although depression-related sick leave duration was found to correlate with severity of depressive symptoms, it cannot be used alone as a viable marker for disease severity.Conclusions: Given its multifactorial nature, depression-related sick leave duration is not on its own a viable outcome measure of depression severity but could be used as a secondary outcome alongside more formal severity measures and may also represent a useful measure of functionality in depression. Key pointsDepression in the working population and depression-related sick leave have a profound economic impact on societyDepression-related sick leave duration is influenced by multiple disease-, patient- and work-related factors, together with societal attitudes towards depression and socioeconomic conditionsA wide variety of pharmacological and non-pharmacological treatments and work-based interventions have been shown to be effective in reducing depression-related sick leave duration and/or facilitating return to workIn terms of pharmacological intervention, recent real-world evidence has shown that patients treated with antidepressant monotherapy are able to recover their working life faster than those treated with combination therapyAlthough depression-related sick leave duration has been shown to correlate with severity of depressive symptoms, it is not a viable outcome measure of depression severity on its own, but could be used as secondary outcome alongside more formal clinician- and patient-rated severity measuresDepression-related sick leave duration may, however, represent a viable outcome for measuring functionality in depression.

Adherence to Lifestyle Interventions for Treatment of Adults with Depression: A Systematic Review and Meta-Analysis.

The aim of this systematic review was to determine the adherence to lifestyle interventions for adults with depression and to estimate the dropout rates in trials examining the impact of these interventions. A bibliographic search was conducted in PubMed, Embase, PsycINFO, the Cochrane library, and several sources of grey literature. We included randomised controlled trials examining the impact of multiple lifestyle interventions on depressive symptomatology in adults when compared to control or other active treatments. Two reviewers independently screened citations, extracted the relevant data, and assessed the risk of bias using Cochrane tools. A random effects meta-analysis of proportions was used to summarise the proportion of participants who completed the intervention and to determine the proportion of dropouts at post-treatment assessment. Multiple subgroup analyses were also carried out. We identified six trials. The meta-analysis of proportions showed that 53% (95%CI 49% to 58%) of the participants assigned to the intervention group fully adhered to the intervention program. The weighted mean proportion of completed intervention sessions was 66%. The pooled trial dropout rate was 22% (95%CI 20% to 24%). Around half of adults with depression adhere to lifestyle interventions. Future research is needed to develop interventions to support adherence to lifestyle interventions in depressive patients.

Predictors of sick leave days in patients affected by major depressive disorder receiving antidepressant treatment in general practice setting in Germany.

OBJECTIVE: To identify sick leave days (SLD) predictors after starting antidepressant (AD) treatment in patients affected by major depressive disorder (MDD), managed by general practitioners, with a focus on different AD therapeutic approaches. METHODS: Retrospective study on German IQVIA® Disease Analyser database. 19-64 year old MDD patients initiating AD treatment between July-2016 and June-2018 were grouped by therapeutic approach (AD monotherapy versus combination/switch/add-on). Data were analysed descriptively by AD therapeutic approach, while a zero-inflated Poisson (ZIP) multiple regression model was run to evaluate SLD predictors. RESULTS: 8,891 patients met inclusion criteria (monotherapy: 66%; combination/switch/add-on: 34%). All covariates had an influence on SLD after AD treatment initiation. Focussing on variables that physicians may more easily intervene to improve outcomes, it was found that the expected SLD number of combination/switch/add-on patients was 1.6 times that of monotherapy patients, and the expected SLD number of patients diagnosed with MDD before the decision to start AD treatment was 1.2 times that of patients not diagnosed with MDD. CONCLUSIONS: A patient tailored approach in the selection of AD treatment at the time of MDD diagnosis may improve functional recovery and help to reduce the socio-economic burden of the disease.KEY POINTSFew studies previously investigated the effect of antidepressant treatment approaches on sick leave days in major depressive disorder.To the authors' knowledge, this is the first study evaluating the effect of different antidepressant treatment approaches on sick leave days in major depressive disorder in German patients.Patients receiving antidepressant monotherapy treatment seemed to lose fewer working days than patients receiving antidepressants combination/switch/add-on therapy, both before and after starting treatment, even if differences were more pronounced after treatment has started.The use of antidepressant monotherapy or combination/switch/add-on therapy was the strongest predictor of sick leave days after starting antidepressant treatment: the expected number of sick leave days for the combination/switch/add-on group was 1.6 times that of the monotherapy group.Among factors associated with increased sick leave days, antidepressant therapeutic approach and the promptness of starting the antidepressant treatment when major depressive disorder is diagnosed, are those on which physicians may more easily intervene to improve outcomes.Findings from the present study suggest that a patient tailored approach may improve functional recovery and help reducing the socio-economic burden of the disease.

Economic impact of treatment-resistant depression: A retrospective observational study.

BACKGROUND: To determine the incidence of Treatment-Resistant Depression (TRD) in Spain and to estimate its economic burden, using real world data. METHODS: A retrospective, observational-study was carried out using data from the BIG-PAC database®. Patients aged ≥18 years with a diagnosis of major depressive-disorder (MDD) who initiated a new antidepressant treatment in 2015-2017 were included. The patients were classified as TRD and non-TRD. Patients were classified as TRD if they had, during the first year of antidepressant treatment: a) failure with ≥2 antidepressants including the prescription of ≥3 antidepressants (N06A) or ≥2 antidepressant and ≥1 antipsychotic (N05A; including lithium) b) antidepressants administered for ≥ 4 weeks each, and c) the time between the end of one treatment and the initiation of the next was ≤ 90 days. Inherent limitations of data collection from databases should also be considered in this analysis (e.g., lack of information about adherence to treatment). Follow-up period: 18 months. The incidence rate was calculated as the number of TRD patients per 1,000 persons-year divided by the population attended. OUTCOMES: direct healthcare and indirect costs. Two sensitivity analyses were performed varying the index date and the period used to define TRD patients (6 vs.12 months). RESULTS: 21,630 patients with MDD aged ≥ 18 years (mean age: 53.2 years; female: 67.2%) were analyzed, of whom 3,559 met TRD criteria, yielding a 3-year cumulative incidence of 16.5% (95%CI: 16%-17%) among MDD patients. The annual population incidence rate of TRD in 2015-2017, was 0.59, 1.02 and 1.18/1,000 person-years, respectively (mean: 0.93/1,000 person-year). Overall, mean total costs per MDD patient were €4,147.9, being higher for TRD than for non-TRD patients (€6,096 vs. €3,846; p<0.001): a) direct costs (€1,341 vs. €624; p<0.001), b) lost productivity (€1,274 vs. €821; p<0.001) and c) permanent disability (€3,481 vs. €2,401; p<0.001, adjusted). Sensitivity analyses showed no differences with the reported results. CONCLUSIONS: The population based TRD incidence in Spain was similar to recent data from other European countries. TRD is associated with greater resource use and higher costs compared with non-TRD patients.