The association between persistent cognitive difficulties and depression and functional outcomes in people with major depressive disorder.

BACKGROUND: Cognitive symptoms are common during and following episodes of depression. Little is known about the persistence of self-reported and performance-based cognition with depression and functional outcomes. METHODS: This is a secondary analysis of a prospective naturalistic observational clinical cohort study of individuals with recurrent major depressive disorder (MDD; N = 623). Participants completed app-based self-reported and performance-based cognitive function assessments alongside validated measures of depression, functional disability, and self-esteem every 3 months. Participants were followed-up for a maximum of 2-years. Multilevel hierarchically nested modelling was employed to explore between- and within-participant variation over time to identify whether persistent cognitive difficulties are related to levels of depression and functional impairment during follow-up. RESULTS: 508 individuals (81.5%) provided data (mean age: 46.6, s.d.: 15.6; 76.2% female). Increasing persistence of self-reported cognitive difficulty was associated with higher levels of depression and functional impairment throughout the follow-up. In comparison to low persistence of objective cognitive difficulty (<25% of timepoints), those with high persistence (>75% of timepoints) reported significantly higher levels of depression (B = 5.17, s.e. = 2.21, p = 0.019) and functional impairment (B = 4.82, s.e. = 1.79, p = 0.002) over time. Examination of the individual cognitive modules shows that persistently impaired executive function is associated with worse functioning, and poor processing speed is particularly important for worsened depressive symptoms. CONCLUSIONS: We replicated previous findings of greater persistence of cognitive difficulty with increasing severity of depression and further demonstrate that these cognitive difficulties are associated with pervasive functional disability. Difficulties with cognition may be an indicator and target for further treatment input.

Changes on depression and suicidal ideation under severe lockdown restrictions during the first wave of the COVID-19 pandemic in Spain: a longitudinal study in the general population.

AIMS: To assess whether there is a change in the prevalence of depression and suicidal ideation after the strict lockdown measures due to the first wave of the COVID-19 pandemic in Spain, and to assess which are the factors associated with the incidence of a depressive episode or suicidal ideation during the lockdown. METHODS: Data from a longitudinal adult population-based cohort from Madrid and Barcelona were analysed (n = 1103). Face-to-face home-based (pre-pandemic) and telephone interviews were performed. Depression and suicidal ideation were assessed through an adaptation of the Composite International Diagnostic Interview (CIDI 3.0). Population prevalence estimates and multivariable logistic regressions were computed. RESULTS: Prevalence rates of depression changed significantly from before to after the COVID-19 outbreak (from 3.06% to 12.00%; p = 0.01) and per sex and age groups. Individuals reporting COVID-19 concerns (odds ratio [OR] = 3.11; 95% confidence interval [CI] = 1.45-6.69) and those feeling loneliness (OR = 1.99; 95% CI = 1.52-2.61) during the lockdown were at increased risk of developing depression during the confinement. Resilience showed a protective effect against the risk of depression (OR = 0.57; 95% CI = 0.39-0.83), while individuals perceiving social support during the confinement were at lower risk of developing suicidal thoughts (OR = 0.21; 95% CI = 0.09-0.46). Greater disability during the lockdown was also associated with the risk of suicidal ideation (OR = 2.77; 95% CI = 1.53-5.03). CONCLUSIONS: Continuous reinforcement of mental health preventive and intervening measures is of global importance, particularly among vulnerable groups who are experiencing the most distress. Future research should strive to evaluate the long-term effects of the COVID-19 crisis on mental health.

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity.

BACKGROUND: Alterations in heart rate (HR) may provide new information about physiological signatures of depression severity. This 2-year study in individuals with a history of recurrent major depressive disorder (MDD) explored the intra-individual variations in HR parameters and their relationship with depression severity. METHODS: Data from 510 participants (Number of observations of the HR parameters = 6666) were collected from three centres in the Netherlands, Spain, and the UK, as a part of the remote assessment of disease and relapse-MDD study. We analysed the relationship between depression severity, assessed every 2 weeks with the Patient Health Questionnaire-8, with HR parameters in the week before the assessment, such as HR features during all day, resting periods during the day and at night, and activity periods during the day evaluated with a wrist-worn Fitbit device. Linear mixed models were used with random intercepts for participants and countries. Covariates included in the models were age, sex, BMI, smoking and alcohol consumption, antidepressant use and co-morbidities with other medical health conditions. RESULTS: Decreases in HR variation during resting periods during the day were related with an increased severity of depression both in univariate and multivariate analyses. Mean HR during resting at night was higher in participants with more severe depressive symptoms. CONCLUSIONS: Our findings demonstrate that alterations in resting HR during all day and night are associated with depression severity. These findings may provide an early warning of worsening depression symptoms which could allow clinicians to take responsive treatment measures promptly.

Real-world treatment patterns and outcomes of abemaciclib for the treatment of HR + , HER2- metastatic breast cancer patients in Japan.

INTRODUCTION: This study described, in routine clinical practice in Japan, the patient characteristics, treatment patterns, and outcomes of female patients with HR + /HER2- metastatic breast cancer (MBC) who started abemaciclib treatment. METHODS: Clinical charts were reviewed for patients starting abemaciclib in 12/2018-08/2021 with a minimum of 3 months follow-up data post-abemaciclib initiation regardless of abemaciclib discontinuation. Patient characteristics, treatment patterns, and tumor response were descriptively summarized. Kaplan-Meier curves estimated progression-free survival (PFS). RESULTS: 200 patients from 14 institutions were included. At abemaciclib initiation, median age was 59 years, and the Eastern Cooperative Oncology Group performance status score was 0/1/2 for 102/68/5 patients (58.3/38.9/2.9%), respectively. Most had an abemaciclib starting dose of 150 mg (92.5%). The percentage of patients receiving abemaciclib as 1st, 2nd, or 3rd line treatment was 31.5%, 25.8%, and 25.2%, respectively. The most frequent endocrine therapy drugs used with abemaciclib were fulvestrant (59%) and aromatase inhibitors (40%). Evaluation of tumor response was available for 171 patients, 30.4% of whom had complete/partial response. Median PFS was 13.0 months (95% CI 10.1-15.8 months). CONCLUSIONS: In a routine clinical practice setting in Japan, patients with HR + , HER2- MBC appear to benefit from abemaciclib treatment in terms of treatment response and median PFS, with the results broadly reflecting the evidence demonstrated in clinical trials.

Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment.

BACKGROUND: In time, we may be able to detect the early onset of symptoms of depression and even predict relapse using behavioural data gathered through mobile technologies. However, barriers to adoption exist and understanding the importance of these factors to users is vital to ensure maximum adoption. METHOD: In a discrete choice experiment, people with a history of depression (N = 171) were asked to select their preferred technology from a series of vignettes containing four characteristics: privacy, clinical support, established benefit and device accuracy (i.e., ability to detect symptoms), with different levels. Mixed logit models were used to establish what was most likely to affect adoption. Sub-group analyses explored effects of age, gender, education, technology acceptance and familiarity, and nationality. RESULTS: Higher level of privacy, greater clinical support, increased perceived benefit and better device accuracy were important. Accuracy was the most important, with only modest compromises willing to be made to increase other factors such as privacy. Established benefit was the least valued of the attributes with participants happy with technology that had possible but unknown benefits. Preferences were moderated by technology acceptance, age, nationality, and educational background. CONCLUSION: For people with a history of depression, adoption of technology may be driven by the desire for accurate detection of symptoms. However, people with lower technology acceptance and educational attainment, those who were younger, and specific nationalities may be willing to compromise on some accuracy for more privacy and clinical support. These preferences should help shape design of mHealth tools.

Multimorbidity, depression with anxiety symptoms, and decrements in health in 47 low- and middle-income countries.

BACKGROUND: Comorbid depression and anxiety is associated with worse health outcomes compared to depression or anxiety occurring in isolation, but there is little data on its association with multimorbidity. Thus, we investigated this association across 47 low- and middle-income countries, and further explored whether having anxiety symptoms in addition to depression is associated with significant declines in health outcomes among those with multimorbidity. METHODS: Cross-sectional, predominantly nationally representative, community-based data were analyzed from the World Health Survey. DSM-IV depression was assessed with the Composite International Diagnostic Interview. Anxiety symptoms referred to severe/extreme problems with worry or anxiety. Ten chronic conditions and health status across five domains (cognition, interpersonal activities, sleep/energy, self-care, pain/discomfort) were assessed. Multivariable regression analyses conducted. RESULTS: Data included 237,952 adults aged ≥18 years [mean age (SD) 38.4 (16.0); 50.8 % females]. Compared to no chronic conditions, 2 (OR = 6.86; 95%CI = 5.59-8.42), 3 (OR = 12.33; 95%CI = 9.72-15.63), and ≥4 (OR = 26.55; 95%CI = 20.21-35.17) chronic conditions were associated with significantly higher odds for comorbid depression/anxiety symptoms (vs. no depression or anxiety symptoms) in the multinomial logistic regression model. Among those with depression and multimorbidity, anxiety symptoms were associated with significantly worse health status across all domains. LIMITATIONS: Cross-sectional design, depression and anxiety symptoms were not based on a clinical assessment. CONCLUSIONS: Comorbid depression/anxiety is common in people with multimorbidity, and anxiety symptoms in people with depression and multimorbidity signify worse health status. Future studies should assess the utility of screening for and treating comorbid depression/anxiety in patients with multimorbidity in terms of clinical outcomes.

Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder.

BACKGROUND: Remote sensing for the measurement and management of long-term conditions such as Major Depressive Disorder (MDD) is becoming more prevalent. User-engagement is essential to yield any benefits. We tested three hypotheses examining associations between clinical characteristics, perceptions of remote sensing, and objective user engagement metrics. METHODS: The Remote Assessment of Disease and Relapse - Major Depressive Disorder (RADAR-MDD) study is a multicentre longitudinal observational cohort study in people with recurrent MDD. Participants wore a FitBit and completed app-based assessments every two weeks for a median of 18 months. Multivariable random effects regression models pooling data across timepoints were used to examine associations between variables. RESULTS: A total of 547 participants (87.8% of the total sample) were included in the current analysis. Higher levels of anxiety were associated with lower levels of perceived technology ease of use; increased functional disability was associated with small differences in perceptions of technology usefulness and usability. Participants who reported higher system ease of use, usefulness, and acceptability subsequently completed more app-based questionnaires and tended to wear their FitBit activity tracker for longer. All effect sizes were small and unlikely to be of practical significance. LIMITATIONS: Symptoms of depression, anxiety, functional disability, and perceptions of system usability are measured at the same time. These therefore represent cross-sectional associations rather than predictions of future perceptions. CONCLUSIONS: These findings suggest that perceived usability and actual use of remote measurement technologies in people with MDD are robust across differences in severity of depression, anxiety, and functional impairment.

Mental impact of Covid-19 among Spanish healthcare workers. A large longitudinal survey.

AIMS: Longitudinal data on the mental health impact of the coronavirus disease 2019 (Covid-19) pandemic in healthcare workers is limited. We estimated prevalence, incidence and persistence of probable mental disorders in a cohort of Spanish healthcare workers (Covid-19 waves 1 and 2) -and identified associated risk factors. METHODS: 8996 healthcare workers evaluated on 5 May-7 September 2020 (baseline) were invited to a second web-based survey (October-December 2020). Major depressive disorder (PHQ-8 ≥ 10), generalised anxiety disorder (GAD-7 ≥ 10), panic attacks, post-traumatic stress disorder (PCL-5 ≥ 7), and alcohol use disorder (CAGE-AID ≥ 2) were assessed. Distal (pre-pandemic) and proximal (pandemic) risk factors were included. We estimated the incidence of probable mental disorders (among those without disorders at baseline) and persistence (among those with disorders at baseline). Logistic regression of individual-level [odds ratios (OR)] and population-level (population attributable risk proportions) associations were estimated, adjusting by all distal risk factors, health care centre and time of baseline interview. RESULTS: 4809 healthcare workers participated at four months follow-up (cooperation rate = 65.7%; mean = 120 days s.d. = 22 days from baseline assessment). Follow-up prevalence of any disorder was 41.5%, (v. 45.4% at baseline, p < 0.001); incidence, 19.7% (s.e. = 1.6) and persistence, 67.7% (s.e. = 2.3). Proximal factors showing significant bivariate-adjusted associations with incidence included: work-related factors [prioritising Covid-19 patients (OR = 1.62)], stress factors [personal health-related stress (OR = 1.61)], interpersonal stress (OR = 1.53) and financial factors [significant income loss (OR = 1.37)]. Risk factors associated with persistence were largely similar. CONCLUSIONS: Our study indicates that the prevalence of probable mental disorders among Spanish healthcare workers during the second wave of the Covid-19 pandemic was similarly high to that after the first wave. This was in good part due to the persistence of mental disorders detected at the baseline, but with a relevant incidence of about 1 in 5 of HCWs without mental disorders during the first wave of the Covid-19 pandemic. Health-related factors, work-related factors and interpersonal stress are important risks of persistence of mental disorders and of incidence of mental disorders. Adequately addressing these factors might have prevented a considerable amount of mental health impact of the pandemic among this vulnerable population. Addressing health-related stress, work-related factors and interpersonal stress might reduce the prevalence of these disorders substantially. Study registration number: NCT04556565.

Four-month incidence of suicidal thoughts and behaviors among healthcare workers after the first wave of the Spain COVID-19 pandemic.

Healthcare workers (HCW) are at high risk for suicide, yet little is known about the onset of suicidal thoughts and behaviors (STB) in this important segment of the population in conjunction with the COVID-19 pandemic. We conducted a multicenter, prospective cohort study of Spanish HCW active during the COVID-9 pandemic. A total of n = 4809 HCW participated at baseline (May-September 2020; i.e., just after the first wave of the pandemic) and at a four-month follow-up assessment (October-December 2020) using web-based surveys. Logistic regression assessed the individual- and population-level associations of separate proximal (pandemic) risk factors with four-month STB incidence (i.e., 30-day STB among HCW negative for 30-day STB at baseline), each time adjusting for distal (pre-pandemic) factors. STB incidence was estimated at 4.2% (SE = 0.5; n = 1 suicide attempt). Adjusted for distal factors, proximal risk factors most strongly associated with STB incidence were various sources of interpersonal stress (scaled 0-4; odds ratio [OR] range = 1.23-1.57) followed by personal health-related stress and stress related to the health of loved ones (scaled 0-4; OR range 1.30-1.32), and the perceived lack of healthcare center preparedness (scaled 0-4; OR = 1.34). Population-attributable risk proportions for these proximal risk factors were in the range 45.3-57.6%. Other significant risk factors were financial stressors (OR range 1.26-1.81), isolation/quarantine due to COVID-19 (OR = 1.53) and having changed to a specific COVID-19 related work location (OR = 1.72). Among other interventions, our findings call for healthcare systems to implement adequate conflict communication and resolution strategies and to improve family-work balance embedded in organizational justice strategies.

Thirty-day suicidal thoughts and behaviours in the Spanish adult general population during the first wave of the Spain COVID-19 pandemic.

AIMS: To investigate the prevalence of suicidal thoughts and behaviours (STB; i.e. suicidal ideation, plans or attempts) in the Spanish adult general population during the first wave of the Spain coronavirus disease 2019 (COVID-19) pandemic (March-July, 2020), and to investigate the individual- and population-level impact of relevant distal and proximal STB risk factor domains. METHODS: Cross-sectional study design using data from the baseline assessment of an observational cohort study (MIND/COVID project). A nationally representative sample of 3500 non-institutionalised Spanish adults (51.5% female; mean age = 49.6 [s.d. = 17.0]) was taken using dual-frame random digit dialing, stratified for age, sex and geographical area. Professional interviewers carried out computer-assisted telephone interviews (1-30 June 2020). Thirty-day STB was assessed using modified items from the Columbia Suicide Severity Rating Scale. Distal (i.e. pre-pandemic) risk factors included sociodemographic variables, number of physical health conditions and pre-pandemic lifetime mental disorders; proximal (i.e. pandemic) risk factors included current mental disorders and a range of adverse events-experiences related to the pandemic. Logistic regression was used to investigate individual-level associations (odds ratios [OR]) and population-level associations (population attributable risk proportions [PARP]) between risk factors and 30-day STB. All data were weighted using post-stratification survey weights. RESULTS: Estimated prevalence of 30-day STB was 4.5% (1.8% active suicidal ideation; n = 5 [0.1%] suicide attempts). STB was 9.7% among the 34.3% of respondents with pre-pandemic lifetime mental disorders, and 1.8% among the 65.7% without any pre-pandemic lifetime mental disorder. Factors significantly associated with STB were pre-pandemic lifetime mental disorders (total PARP = 49.1%) and current mental disorders (total PARP = 58.4%), i.e. major depressive disorder (OR = 6.0; PARP = 39.2%), generalised anxiety disorder (OR = 5.6; PARP = 36.3%), post-traumatic stress disorder (OR = 4.6; PARP = 26.6%), panic attacks (OR = 6.7; PARP = 36.6%) and alcohol/substance use disorder (OR = 3.3; PARP = 5.9%). Pandemic-related adverse events-experiences associated with STB were lack of social support, interpersonal stress, stress about personal health and about the health of loved ones (PARPs 32.7-42.6%%), and having loved ones infected with COVID-19 (OR = 1.7; PARP = 18.8%). Up to 74.1% of STB is potentially attributable to the joint effects of mental disorders and adverse events-experiences related to the pandemic. CONCLUSIONS: STB at the end of the first wave of the Spain COVID-19 pandemic was high, and large proportions of STB are potentially attributable to mental disorders and adverse events-experiences related to the pandemic, including health-related stress, lack of social support and interpersonal stress. There is an urgent need to allocate resources to increase access to adequate mental healthcare, even in times of healthcare system overload. STUDY REGISTRATION NUMBER: NCT04556565.

Changes in depression and suicidal ideation under severe lockdown restrictions during the first wave of the COVID-19 pandemic in Spain: a longitudinal study in the general population.

AIMS: To assess whether there is a change in the prevalence of depression and suicidal ideation after the strict lockdown measures due to the first wave of the COVID-19 pandemic in Spain; and to assess which are the factors associated with the incidence of a depressive episode or suicidal ideation during the lockdown. METHODS: Data from a longitudinal adult population-based cohort from the provinces of Madrid and Barcelona were analysed (n = 1103). Structured face-to-face home-based interviews (pre-pandemic) and telephone interviews were performed. Both depression and suicidal ideation were assessed through an adaptation of the Composite International Diagnostic Interview (CIDI 3.0). A variety of validated instruments and sociodemographic variables including age, sex, educational level, occupational status, home quietness, screen time, resilience, loneliness, social support, physical activity, disability, economic situation and COVID-19-related information were also considered. Population prevalence estimates and multivariable logistic regressions were computed. RESULTS: Overall, prevalence rates of depression and suicidal ideation did not change significantly from before to after the COVID-19 outbreak. However, the rates of depression among individuals aged 50+ years showed a significant decrease compared to before the pandemic (from 8.48 to 6.41%; p = 0.01). Younger individuals (odds ratio (OR) = 0.97 per year older; 95% confidence interval (CI) = 0.95-0.99) and those feeling loneliness (OR = 1.96; 95% CI = 1.42-2.70) during the lockdown were at an increased risk of developing depression during the confinement. Resilience showed a protective effect against the risk of depression (OR = 0.46; 95% CI = 0.32-0.66) and suicidal ideation (OR = 0.33; 95% CI = 0.16-0.68), whereas individuals perceiving social support were at a lower risk of developing suicidal thoughts (OR = 0.35; 95% CI = 0.18-0.69). CONCLUSIONS: Continuous reinforcement of mental health preventive and intervening measures during and in the aftermath of the crisis is of global importance, particularly among vulnerable groups who are experiencing the most distress. Future research should strive to evaluate the long-term effects of the COVID-19 crisis on mental health.

The role of ageing in the wish to be dead: disentangling age, period and cohort effects in suicide ideation in European population.

AIMS: To investigate potential age, period and birth cohort effects in the prevalence of suicide ideation in European ageing population. METHODS: A total of 50 782 community-dwelling adults (aged + 50) from 20 different European countries were collected in the Survey Health Ageing and Retirement study. A multilevel logistic regression model of repeated measures was modelled to assess the effects of age and other variables, including the variability of observations over three levels: birth cohort groups, time period assessment and individual differences. RESULTS: The larger effect of variability was attributed to individual-level factors (57.8%). Youngest-old people (65-79 years) showed lower suicide ideation than middle-aged people (50-64 years). No significative differences were found for suicide ideation between middle-aged people and oldest-old (80 + years). Only 0.85% and 0.13% of the total variability of suicide ideation accounted for birth cohort and period effects, respectively. Cohorts born between 1941 and 1944 possessed the lowest estimates of suicide ideation. Conversely, suicide ideation started to rise with post-War generations and reached a significant level for people born from 1953-1957 to 1961-1964. Regarding the time period, participants assessed in 2006-2007 showed a lower likelihood of suicide ideation. The rest of the cohorts and period groups did not show any significant effect on the prevalence of suicide ideation. CONCLUSIONS: Our results suggest that age and suicide ideation relationship is not linear in middle and older age. The European Baby boomers born from 50s to mid-60s might report higher suicide ideation than their ancestors. This scenario would imply a greater need for mental healthcare services for older people in the future.

Comorbidity within mental disorders: a comprehensive analysis based on 145 990 survey respondents from 27 countries.

AIMS: Epidemiological studies indicate that individuals with one type of mental disorder have an increased risk of subsequently developing other types of mental disorders. This study aimed to undertake a comprehensive analysis of pair-wise lifetime comorbidity across a range of common mental disorders based on a diverse range of population-based surveys. METHODS: The WHO World Mental Health (WMH) surveys assessed 145 990 adult respondents from 27 countries. Based on retrospectively-reported age-of-onset for 24 DSM-IV mental disorders, associations were examined between all 548 logically possible temporally-ordered disorder pairs. Overall and time-dependent hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models. Absolute risks were estimated using the product-limit method. Estimates were generated separately for men and women. RESULTS: Each prior lifetime mental disorder was associated with an increased risk of subsequent first onset of each other disorder. The median HR was 12.1 (mean = 14.4; range 5.2-110.8, interquartile range = 6.0-19.4). The HRs were most prominent between closely-related mental disorder types and in the first 1-2 years after the onset of the prior disorder. Although HRs declined with time since prior disorder, significantly elevated risk of subsequent comorbidity persisted for at least 15 years. Appreciable absolute risks of secondary disorders were found over time for many pairs. CONCLUSIONS: Survey data from a range of sites confirms that comorbidity between mental disorders is common. Understanding the risks of temporally secondary disorders may help design practical programs for primary prevention of secondary disorders.

Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study.

AIMS: To study the temporal dynamics of depression symptom episodes in old-age and the related influence of risk factors. METHODS: Data from 41 362 old adults (54.61% women; mean age = 75.30, SD = 6.20) from the Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project were used. Depressive symptoms were followed over an 18-year period. A multi-state model, comprising three statuses (no depression, new clinically relevant episode of symptoms and episode persistence), was fitted. Multinomial regression was used to study the role of risk factors in status transition. RESULTS: Almost 85% of participants showed no depression, but prevalence became lower over time (B = -0.25, P < 0.001). New episode point prevalence was over 5.30% with a significant probability of moving to persistence status (transition probability = 0.27). Episode persistence became evident in 9.86% of episode status transitions, with increasing rate over time (B = 0.54, P < 0.01). Loneliness was proven to be the strongest predictor of episode emergence (OR = 17.76) and persistence (OR = 5.93). CONCLUSIONS: The course of depression tends to become chronic and unremitting in old-age. This study may help to plan interventions to tackle symptom escalation and risk factor influence.

Retrospective analysis of patients with advanced or metastatic gastric cancer in Colombia.

Aims: To assess patient and disease characteristics, treatment patterns, and associated costs in patients with advanced or metastatic gastric cancer (A/MGC) in Colombia, in both the public and private hospitals. Materials and methods: A total of 145 patients who had received first-line chemotherapy treatment (platinum analog and/or a fluoropyrimidine) and were followed for at least 3 months after the last administration of a first-line cytotoxic agent were eligible for inclusion. Case-report forms were elaborated based on the patients' medical records from three Colombian hospitals. Estimates of treatment costs were calculated using unit costs from the participating hospitals. Results: Of the 145 patients, more than half (64.83%) were male, 79.56% were diagnosed with metastatic stage IV disease (mean age = 58.14 years). Prior to MGC diagnosis, 31.71% of the patients being operated on received a total gastrectomy; 66.9% of the patients received a doublet therapy, of which 5-fluorouracil (5-FU) in combination with cisplatin was the standard treatment (14%), followed by combination with leucovorin (12%). Only around 10% of the patients responded to first-line treatment. Out of 41.38% of the patients who received a second-line treatment, 71.67% were still administered a platinum analog and/or fluoropyrimidine. During the follow-up period, 52% of the patients progressed and 20% achieved stable disease. Best supportive care mostly consisted of outpatient visits after last line-therapy (72.41%), palliative radiotherapy (18.6%), and surgery (37.2%). Limitations and conclusions: Gastric cancer is one of the main causes of cancer-related death in Colombia, as most of the patients are diagnosed at an advanced stage, when prognosis is poor. Treatment patterns are highly heterogeneous. Second-line treatments were mostly initiated with paclitaxel, capecitabine, irinotecan, or cisplatin.

Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol.

BACKGROUND: There is a growing body of literature highlighting the role that wearable and mobile remote measurement technology (RMT) can play in measuring symptoms of major depressive disorder (MDD). Outcomes assessment typically relies on self-report, which can be biased by dysfunctional perceptions and current symptom severity. Predictors of depressive relapse include disrupted sleep, reduced sociability, physical activity, changes in mood, prosody and cognitive function, which are all amenable to measurement via RMT. This study aims to: 1) determine the usability, feasibility and acceptability of RMT; 2) improve and refine clinical outcome measurement using RMT to identify current clinical state; 3) determine whether RMT can provide information predictive of depressive relapse and other critical outcomes. METHODS: RADAR-MDD is a multi-site prospective cohort study, aiming to recruit 600 participants with a history of depressive disorder across three sites: London, Amsterdam and Barcelona. Participants will be asked to wear a wrist-worn activity tracker and download several apps onto their smartphones. These apps will be used to either collect data passively from existing smartphone sensors, or to deliver questionnaires, cognitive tasks, and speech assessments. The wearable device, smartphone sensors and questionnaires will collect data for up to 2-years about participants' sleep, physical activity, stress, mood, sociability, speech patterns, and cognitive function. The primary outcome of interest is MDD relapse, defined via the Inventory of Depressive Symptomatology- Self-Report questionnaire (IDS-SR) and the World Health Organisation's self-reported Composite International Diagnostic Interview (CIDI-SF). DISCUSSION: This study aims to provide insight into the early predictors of major depressive relapse, measured unobtrusively via RMT. If found to be acceptable to patients and other key stakeholders and able to provide clinically useful information predictive of future deterioration, RMT has potential to change the way in which depression and other long-term conditions are measured and managed.

The association of religiosity with suicidal ideation and suicide attempts in the United Kingdom.

OBJECTIVE: The goal was to analyze the association of religiosity with suicidal ideation and suicide attempts in a UK nationally representative sample. METHODS: This study used cross-sectional data from 7403 people who participated in the 2007 Adult Psychiatric Morbidity Survey (APMS). Religion was assessed with the question 'Do you have a specific religion?' with 'yes' and 'no' answer options. Lifetime and past 12-month suicidal ideation and suicide attempts were assessed. The association between religiosity and suicidality was studied in multivariable logistic regression models adjusted for sociodemographic, behavioural, and psychopathological factors. RESULTS: Compared to those without a religion, the prevalence of past 12-month suicidal ideation (3.2% vs. 5.4%), past 12-month suicide attempts (0.4% vs. 0.9%), lifetime suicidal ideation (11.2% vs. 16.4%), and lifetime suicide attempts (3.6% vs. 6.0%) was lower among those with a religion. In the fully adjusted model, having a religion was significantly associated with lower odds for all types of suicidality except past 12-month suicide attempts: suicidal ideation (past 12-month: OR = 0.71, 95% CI = 0.51-0.99; lifetime: OR = 0.83, 95% CI = 0.69-0.99) and suicide attempts (past 12-month: OR = 0.71, 95% CI = 0.35-1.45; lifetime: OR = 0.69, 95% CI = 0.53-0.90). CONCLUSION: There is a negative association between religiosity and suicidality in the UK. Future studies should focus on the underlying mechanisms.

Psychotic experiences and subjective cognitive complaints among 224 842 people in 48 low- and middle-income countries.

AIMS: Cognitive deficits are an important factor in the pathogenesis of psychosis. Subjective cognitive complaints (SCCs) are often considered to be a precursor of objective cognitive deficits, but there are no studies specifically on SCC and psychotic experiences (PE). Thus, we assessed the association between SCC and PE using data from 48 low- and middle-income countries. METHODS: Community-based cross-sectional data of the World Health Survey were analysed. Two questions on subjective memory and learning complaints in the past 30 days were used to create a SCC scale ranging from 0 to 10 with higher scores representing more severe SCC. The Composite International Diagnostic Interview was used to identify past 12-month PE. Multivariable logistic regression and mediation analyses were performed. RESULTS: The final sample consisted of 224 842 adults aged ⩾18 years [mean (SD) age 38.3 (16.0) years; 49.3% males]. After adjustment for sociodemographic factors, a one-unit increase in the SCC scale was associated with a 1.17 (95% CI 1.16-1.18) times higher odds for PE in the overall sample, with this association being more pronounced in younger individuals: age 18-44 years OR = 1.19 (95% CI 1.17-1.20); 45-64 years OR = 1.15 (95% CI 1.12-1.17); ⩾65 years OR = 1.14 (95% CI 1.09-1.19). Collectively, other mental health conditions (perceived stress, depression, anxiety, sleep problems) explained 43.4% of this association, and chronic physical conditions partially explained the association but to a lesser extent (11.8%). CONCLUSIONS: SCC were associated with PE. Future longitudinal studies are needed to understand temporal associations and causal inferences, while the utility of SCC as a risk marker for psychosis especially for young adults should be scrutinised.

Mortality in unipolar depression preceding and following chronic somatic diseases.

OBJECTIVE: It is largely unknown how depression prior to and following somatic diseases affects mortality. Thus, we examined how the temporal order of depression and somatic diseases affects mortality risk. METHOD: Data were from a Danish population-based cohort from 1995 to 2013, which included all residents in Denmark during the study period (N = 4 984 912). Nineteen severe chronic somatic disorders from the Charlson Comorbidity Index were assessed. The date of first diagnosis of depression and somatic diseases was identified. Multivariable Cox proportional Hazard models with time-varying covariates were constructed to assess the risk for all-cause and non-suicide deaths for individual somatic diseases. RESULTS: For all somatic diseases, prior and/or subsequent depression conferred a significantly higher mortality risk. Prior depression was significantly associated with a higher mortality risk when compared to subsequent depression for 13 of the 19 somatic diseases assessed, with the largest difference observed for moderate/severe liver disease (HR = 2.08; 95% CI = 1.79-2.44), followed by metastatic solid tumor (HR = 1.48; 95% CI = 1.39-1.58), and myocardial infarction (HR = 1.40; 95% CI = 1.34-1.49). CONCLUSION: A particularly high mortality risk was observed in the presence of prior depression for most somatic diseases. Future studies that assess the underlying mechanisms are necessary to adequately address the excessive mortality associated with comorbid depression.

Risk factors and topographies for self-injurious behaviour in a sample of adults with intellectual developmental disorders.

BACKGROUND: Self-injurious behaviour (SIB) is a prevalent form of challenging behaviour in people with intellectual developmental disorders (IDD). Existing research has yielded conflicting findings concerning the major risk factors involved, and in addition, SIB shows multiple topographies and presentations. Although presence of autism spectrum disorders (ASD) and severity of intellectual disability (ID) are known risk factors for SIB, there are no studies comparing SIB topographies by severity degrees of ID and ASD. The purpose of the present paper has been to identify risk factors and topographies for SIB in a representative, stratified and randomised sample of adults with IDD. METHOD: This study was conducted on the basis of data collected by the POMONA-ESP project, in a sample of 833 adults with IDD. Data concerning demographic and health information, ASD symptoms, psychopathology and ID, have been analysed to determine the presence of risk factors for SIB among participants and to explore the occurrence and topographies of SIB across different severity levels of ID and ASD symptoms. RESULTS: Self-injurious behaviour prevalence in the sample was 16.2%. Younger age, oral pain, greater severity of ID, presence of dual diagnosis, psychiatric medication intake and higher scores on Childhood Autism Rating Scale were risk factors for SIB among participants, whereas number of areas with functioning limitations, place of residence, diagnosis of epilepsy and sex were not. SIB was more frequent in participants with ASD symptoms regardless of its severity level, and they displayed a higher number of different topographies of SIB. People with profound ID without co-morbid ASD symptoms showed similar results concerning SIB prevalence and topographies. CONCLUSIONS: Knowledge on risk factors and topographies of SIB might play a vital role in the development of prevention strategies and management of SIB in people with IDD. The mere presence of ASD symptoms, regardless of its severity level, can be a crucial factor to be taken into account in assessing SIB. Accordingly, the presence of SIB in people with ID, especially when presented with a varied number of topographies, might provide guidance on ASD differential diagnosis.