Characteristics of attentional bias in adolescents with major depressive disorders: differentiating the impact of anxious distress specifier.

Background: No consistent conclusion has been reached regarding the attentional bias characteristics of adolescents with major depressive disorders (MDD), and unexamined co-occurring anxiety distress may contribute to this inconsistency. Methods: We enrolled 50 MDD adolescents with anxiety distress, 47 MDD adolescents without anxiety distress and 48 healthy adolescents. We measured attentional bias using a point-probe paradigm during a negative-neutral emotional face task. Reaction time, correct response rate and attentional bias value were measured. Results: MDD adolescents did not show a negative attentional bias; MDD adolescents with anxiety distress exhibited longer reaction time for negative and neutral stimuli, lower correct response rate for negative stimuli. Hamilton Anxiety Scale scores were positively correlated with reaction time, negatively correlated with correct response rate, and not significantly correlated with attentional bias value. Limitations: The cross-sectional design hinders causal attribution, and positive emotional faces were not included in our paradigm. Conclusion: Negative attentional bias is not a stable cognitive trait in adolescents with MDD, and avoidance or difficulty in disengaging attention from negative emotional stimuli may be the attentional bias characteristic of MDD adolescents with anxiety distress.

Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.

BACKGROUND: Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent in day-to-day clinical practice. To promote the development of such strategies, the identification of factors indicative of patients at risk is essential. METHODS: In this study, we developed a transdiagnostic model using and comparing decision tree classifiers, logistic regression, XGboost, and a support vector machine to predict weight gain of ≥5% of body weight during the first 4 weeks of treatment with psychotropic drugs associated with weight gain in 103 psychiatric inpatients. We included established variables from the literature as well as an extended set with additional clinical variables and questionnaires. RESULTS: Baseline BMI, premorbid BMI, and age are known risk factors and were confirmed by our models. Additionally, waist circumference has emerged as a new and significant risk factor. Eating behavior next to blood glucose were found as additional potential predictor that may underlie therapeutic interventions and could be used for preventive strategies in a cohort at risk for psychotropics induced weight gain (PIWG). CONCLUSION: Our models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.

Rumination, but not mood, predicts prospective memory performance: novel insights from a derived measure of trait rumination.

Prospective memory (PM) is the accurate execution of an intention in the future. PM may be negatively impacted by negative affect, but the underlying mechanisms remain unclear. Rumination may increase the frequency of task-irrelevant thoughts, which deplete attentional capacity and reduce performance. To date, no studies have examined state and trait rumination on an online measure of PM. The present study examined the effects of state and trait rumination on an event-based, focal PM task embedded within a one-back task over multiple sessions. 95 non-depressed adults (18-53 years) completed measures of state/trait rumination, mood, and PM on at least two occasions. Using multi-level modelling, we found that a derived measure of trait rumination, but not an established trait rumination survey, nor negative mood, predicted poorer PM accuracy. These novel findings demonstrate that trait rumination may partially underlie the association between negative affect & PM in a non-clinical sample, and highlight the potential of online methods to study PM.

Negative Mood is Associated with Sociobehavioral Factors Contributing to Cardiovascular Risk in an Immigrant Population.

Background: Immigrants to the United States, on average, accumulate cardiovascular risk after resettlement, including obesity. There is a need to co-create interventions to address these disparities, and mood may be an important mediating factor. Methods: The Healthy Immigrant Community (HIC) study, set in southeast Minnesota, enrolled 475 adult participants in a weight loss intervention to reduce cardiovascular risk. Baseline questionnaires assessed mood, nutrition, physical activity, self-efficacy for healthy eating and physical activity, social support, and cohesion. A single-item mood rating of poor or fair was considered "negative", while ratings of good, very good, or excellent were considered "positive". Results: A total of 449 HIC participants (268 Hispanic/Latino and 181 Somali) with complete baseline measures and were included in this analysis. Participants endorsing negative mood compared to those endorsing positive mood had lower scores for healthy eating (p = 0.02) and physical activity levels (p = 0.03), lower confidence in eating a healthy diet (p = 0.001), and felt less of a sense of belonging to their community (p = 0.01). Those endorsing negative mood also reported receiving less social support from their family and friends to eat healthy (p = < 0.001) and be physically active (p = 0.01), and less often accessed community resources for healthy eating (p = 0.001) and physical activity (p = < 0.01) compared to participants reporting positive mood. Conclusions: Negative mood was associated with less healthy nutrition, lower confidence in eating healthy, sedentary lifestyle, and perceived lack of belonging to the community. Integrating mood management and self-efficacy strategies may enhance the effectiveness of lifestyle interventions among immigrants who report negative mood. ClinicalTrialsgov registration: NCT05136339; April 23, 2022.

Eventive modal projection: the case of Spanish subjunctive relative clauses.

How do modal expressions determine which possibilities they range over? According to the Modal Anchor Hypothesis (Kratzer in The language-cognition interface: Actes du 19e congrès international des linguistes, Libraire Droz, Genève, 179-199, 2013), modal expressions determine their domain of quantification from particulars (events, situations, or individuals). This paper presents novel evidence for this hypothesis, focusing on a class of Spanish relative clauses that host verbs inflected in the subjunctive. Subjunctive in Romance is standardly taken to be licensed only in a subset of intensional contexts. However, in our relative clauses, subjunctive is exceptionally licensed in extensional contexts. At the same time, the interpretation of these relative clauses still involves modality, a type of modality that targets the goals of the agent of the main event. We argue that the pattern displayed by these relative clauses follows straightforwardly if subjunctive is associated with a modal operator that, like modal indefinites (Alonso-Ovalle and Menéndez-Benito in Journal of Semantics 35(1):1-41, 2017), can project its domain from a volitional event. Overall, our proposal supports the event-based analysis of mood (Kratzer in Evidential mood in attitude and speech reports. Talk delivered at the 1st Syncart Workshop, Siena, July 13, 2016; Portner and Rubinstein in Natural Language Semantics 28:343-393, 2020) and extends its application beyond attitudinal and modal complements.

The dynamic responses of mood and sleep physiology to chronic sleep restriction and subsequent recovery sleep.

Healthy sleep of sufficient duration preserves mood and disturbed sleep is a risk factor for a range of psychiatric disorders. As adults commonly experience chronic sleep restriction (SR), an enhanced understanding of the dynamic relationship between sleep and mood is needed, including whether susceptibility to SR-induced mood disturbance differs between sexes. To address these gaps, data from N=221 healthy adults who completed one of two multi-day laboratory studies with identical 9-day SR protocols were analyzed. Participants randomized to the SR (n=205) condition underwent 5 nights of SR to 4 h time-in-bed and were then randomized to one of seven sleep doses that ranged from 0 h to 12 h in 2 h increments; participants randomized to the control (n=16) condition received 10 h time-in-bed on all study nights. The Profile of Mood States (POMS) was used to assess mood every 2 h during wakefulness and markers of sleep homeostasis (EEG slow-wave activity) were derived via polysomnography. Mood progressively deteriorated across SR with marked disturbances in somatic mood components. Altered sleep physiology contributed to mood disturbance whereby increased EEG slow-wave activity was associated with increased POMS Total Mood Disturbance scores, a finding specific to males. Mood was restored in a dose-response fashion where improvements were greater with longer sleep doses. These findings suggest that when lifestyle and environmental factors are inhibited in the laboratory, the affective consequences of chronic sleep loss are primarily somatic mood disturbances. Altered sleep homeostasis may contribute to mood disturbance, yet sleep-dependent mechanisms may be sex-specific.

Testing a brief, self-guided values affirmation for behavioral activation intervention during COVID-19.

This pilot study tested a single-session digital values affirmation for behavioral activation (VABA) intervention. Hypotheses predicted the VABA intervention would be more effective than an active control condition in improving mood, decreasing COVID-19 fear/worry and depressive symptoms, and promoting positively reinforcing behaviors during early weeks of the COVID-19 pandemic. Participants were a diverse sample of undergraduate students (N = 296) under a state-wide lockdown. Students were randomized to either VABA, a 10-min values clarification and affirmation task, or Control, a time- and attention-matched task. Positive and negative affects were assessed pre- and post-intervention. At next-day follow-up, positive and negative affects were reassessed, as well as past 24-h behavioral activation and depressive symptoms. Within-group increases in positive affect were observed in both conditions (VABA d = 0.39; Control d = 0.19). However, VABA produced a significantly larger increase than Control (F[2] = 3.856, p = .022, d = 0.22). At 24-h follow-up, behavioral activation, which was significantly higher in VABA versus Control (t[294] = -5.584, p < .001, d = 0.65), predicted fewer depressive symptoms (R2 change = .019, ß = -.134, p = .003). VABA is an ultra-brief intervention that appears to have acute effects on mood-enhancement and behavioral activation.

An exploratory, randomised, crossover study to investigate the effect of nicotine on cognitive function in healthy adult smokers who use an electronic cigarette after a period of smoking abstinence.

BACKGROUND: As well as being associated with serious negative health outcomes, smoking has been reported to have an array of physiological and psychological effects, including effects on mood and cognitive function. Post-cessation, loss of such effects (including temporary deficits in cognitive function) have been cited as reasons for resumption of smoking. The effects of e-cigarettes and nicotine delivered by e-cigarettes on these functions have not been widely researched but may play a role in the effectiveness of e-cigarettes as a satisfactory alternative to combustible cigarettes for people who smoke, and in encouraging individuals who would otherwise continue to smoke, to transition to e-cigarettes. METHODS: The study was an exploratory, randomised, partially-blinded, single-centre, five-arm crossover trial that recruited 40 healthy male and female people who smoke. At 5 study sessions, following a 12-h period of nicotine abstinence, participants were randomly assigned to use either a combustible cigarette, an e-cigarette of three varying nicotine strengths (18 mg/mL, 12 mg/mL or 0 mg/mL respectively) or observe a no product usage session. Participants completed pre- and post-product usage assessments to examine the product usage effect on cognitive performance (using the Cambridge Neuropsychological Test Automated Battery (CANTAB)), subjective mood and smoking urges. RESULTS: A significant improvement in sustained attention task performance was observed following use of both the nicotine containing e-cigarettes and combustible cigarette compared to no product use. Additionally, there were no significant differences between the nicotine containing products, indicating that nicotine use enhanced sustained attention regardless of delivery format. Nicotine containing e-cigarette and combustible cigarette use also significantly improved overall mood of participants compared to no product use, with no significant differences observed between the nicotine containing products. Nicotine containing e-cigarette and combustible cigarette use significantly reduced smoking urges compared to no product use, though combustible cigarette use elicited the greatest reduction in smoking urges. CONCLUSIONS: Overall, the nicotine containing products improved sustained attention and mood while reducing smoking urges, with the studied e-cigarettes having comparable effects to combustible cigarettes across the assessed cognitive parameters and mood measures. These results demonstrate the potential role of e-cigarettes to provide an acceptable alternative for combustible cigarettes among people who would otherwise continue to smoke. Trial registration ISRCTN (identifier: ISRCTN35376793).

Intraindividual time-varying dynamic network of affects: linear autoregressive mixed-effects models for ecological momentary assessment.

An interesting recent development in emotion research and clinical psychology is the discovery that affective states can be modeled as a network of temporally interacting moods or emotions. Additionally, external factors like stressors or treatments can influence the mood network by amplifying or dampening the activation of specific moods. Researchers have turned to multilevel autoregressive models to fit these affective networks using intensive longitudinal data gathered through ecological momentary assessment. Nonetheless, a more comprehensive examination of the performance of such models is warranted. In our study, we focus on simple directed intraindividual networks consisting of two interconnected mood nodes that mutually enhance or dampen each other. We also introduce a node representing external factors that affect both mood nodes unidirectionally. Importantly, we disregard the potential effects of a current mood/emotion on the perception of external factors. We then formalize the mathematical representation of such networks by exogenous linear autoregressive mixed-effects models. In this representation, the autoregressive coefficients signify the interactions between moods, while external factors are incorporated as exogenous covariates. We let the autoregressive and exogenous coefficients in the model have fixed and random components. Depending on the analysis, this leads to networks with variable structures over reasonable time units, such as days or weeks, which are captured by the variability of random effects. Furthermore, the fixed-effects parameters encapsulate a subject-specific network structure. Leveraging the well-established theoretical and computational foundation of linear mixed-effects models, we transform the autoregressive formulation to a classical one and utilize the existing methods and tools. To validate our approach, we perform simulations assuming our model as the true data-generating process. By manipulating a predefined set of parameters, we investigate the reliability and feasibility of our approach across varying numbers of observations, levels of noise intensity, compliance rates, and scalability to higher dimensions. Our findings underscore the challenges associated with estimating individualized parameters in the context of common longitudinal designs, where the required number of observations may often be unattainable. Moreover, our study highlights the sensitivity of autoregressive mixed-effect models to noise levels and the difficulty of scaling due to the substantial number of parameters.

Effect of memory therapy on enhancing postoperative cognitive function recovery and alleviating mood disturbances in brain glioma patients.

OBJECTIVE: To assess the impact of memory therapy on enhancing recovery of postoperative cognitive function and alleviating mood disturbances in brain glioma patients. METHODS: This retrospective study included 160 brain glioma patients who met the inclusion criteria from August 2019 to July 2022. They were divided into a control group and an observation group according to according to different treatment method, with 80 cases in each group. The control group was given routine rehabilitation, while the observation group received additional memory therapy. The study compared complications between the two groups, focusing on the changes in cognitive function [using the Neurobehavioral Cognitive Status Check Scale (NCSE), Clinical Dementia Score (CDR)], mood disturbances [measured by the State Anxiety Scale (S-AI), Trait Anxiety Scale (T-AI), and Hospital Stress Scale score], health-promoting behaviors [evaluated with the Chinese Version of Health Promotion Lifestyle Scale-II (HPLP-II)], coping styles [assessed through the Medical Response Questionnaire (MCQM)], and cancer-related fatigue [using the Cancer-Related Fatigue Scale (CFS)] before and after intervention were observed. A total of 160 glioma cases were classified into either a good or poor prognosis category, based on their prognosis 12 months post-surgery. Baseline data from both groups were compared, and multivariate logistic regression was employed to analyze the factors influencing outcomes in glioma patients. RESULTS: After intervention, the observation group exhibited higher scores of NCSE, HPLP-II, and CFS, but lower scores on the CDR, S-AI, T-AI and hospital stress scale compared to the control group (all P<0.05). Additionally, within the MCQM, the observation group showed reduced avoidance and yield scores, and an increased facing score, compared to the control group (all P<0.05). No significant difference was observed between the complication rates of the control (8.75%) and observation groups (3.75%) (P>0.05). However, the incidence of adverse prognosis was significantly lower in the observation group compared to the control group (8.75% vs 22.50%) (P<0.05). There were no significant differences in age, maximum tumor diameter, preoperative Karnofsky Performance Status score, gender or lesion location between the poor prognosis group and the good prognosis group (all P>0.05). The poor prognosis group had a higher proportion of patients in clinical stages III-IV and a lower proportion receiving recall therapy compared to good prognosis group (P<0.05). Multivariate logistic regression analysis identified clinical stage (III-IV stage) [OR=3.562 (95% CI: 1.476-8.600)] as a risk factor for poor prognosis after brain glioma surgery (P<0.05), while undergoing memory therapy [ß=0.330 (95% CI: 0.99-0.842)] acted as a protective factor against poor prognosis (P<0.05). CONCLUSION: Memory therapy has been shown to promote postoperative cognitive function recovery in glioma patients, reduce anxiety and stress response, bolster coping mechanisms and health-promoting behavior, diminish cancer-related fatigue, and improve patient prognosis.

Factors impacting intent to seek treatment within youth at clinical high risk for psychosis.

Existing work indicates that there is unmet need for care in those at clinical high risk (CHR) for psychosis. However, research on the factors that drive treatment seeking behaviors in this population is limited. Further, it is unknown how help-seeking behavior in CHR individuals compares to those seen in mood disorders, who have a higher rate of treatment seeking behavior. Participants (n = 559) completed an assessment of their intent to seek mental health treatment, attenuated psychosis-risk symptoms, and psychiatric symptoms and diagnoses. Participants were divided into CHR (n = 91), Mood Disorders (MD) (n = 72), or Community Controls (CC) groups (n = 396), whose intent to seek treatment was compared. Associations between intent to seek treatment with past treatment, depression, anxiety, positive and negative symptoms, distress from symptoms, intelligence quotient (IQ) estimates, and insight were assessed in CHR individuals. Further, it was assessed how this differs for the MD group. The MD group reported higher intent to seek treatment than CHR individuals, which reported higher intent to seek treatment than the CC group. In those at CHR, previous treatment, greater depression and anxiety severity, and higher distress all independently predicted higher intent to seek treatment. Depression predicted intent to seek treatment in both MD and CHR individuals. Previous treatment predicted intent to seek treatment in those at CHR. Our findings suggest that depression and past treatment utilization are critical factors in increasing intent to seek treatment in those at CHR, potentially serving as important targets for engaging this population in treatment.

A probabilistic model of relapse in drug addiction.

More than 60% of individuals recovering from substance use disorder relapse within one year. Some will resume drug consumption even after decades of abstinence. The cognitive and psychological mechanisms that lead to relapse are not completely understood, but stressful life experiences and external stimuli that are associated with past drug-taking are known to play a primary role. Stressors and cues elicit memories of drug-induced euphoria and the expectation of relief from current anxiety, igniting an intense craving to use again; positive experiences and supportive environments may mitigate relapse. We present a mathematical model of relapse in drug addiction that draws on known psychiatric concepts such as the "positive activation; negative activation" paradigm and the "peak-end" rule to construct a relapse rate that depends on external factors (intensity and timing of life events) and individual traits (mental responses to these events). We analyze which combinations and ordering of stressors, cues, and positive events lead to the largest relapse probability and propose interventions to minimize the likelihood of relapse. We find that the best protective factor is exposure to a mild, yet continuous, source of contentment, rather than large, episodic jolts of happiness.

Implementation of the Mind Youth Questionnaire (MY-Q) for routine health-related quality of life screening of adolescents with type 1 diabetes in a large tertiary care center.

OBJECTIVES: Prevalence of diabetes distress and mental health comorbidities among adolescents with type 1 diabetes (T1D) is high. Despite recommendations for routine psychosocial risk assessment, there is little guidance for their implementation. This study aims to describe the implementation and baseline outcomes of the Mind Youth Questionnaire (MY-Q), a validated psychosocial screening tool for health-related quality of life (QoL) including mood, among adolescents living with T1D. METHODS: Adolescents aged 13-18 years completed the MY-Q from October 1, 2019-April 1, 2023. Baseline characteristics, MY-Q results including categories flagged positive (noting possible areas of concern), debrief duration, and frequency of social work or mental health referral were collected and analyzed using descriptive statistics. RESULTS: A total of 343 adolescents (mean age 15.3 years; 52 % female) completed a baseline MY-Q. Median overall MY-Q debrief time (IQR) was 10.0 min (6.0, 20.0). About 290 (84.5 %) adolescents had at least one of seven categories flagged, most commonly "Family" (61 %). About 30 % of adolescents had "Mood" flagged, and 2.9 % of adolescents were referred to mental health following debrief. CONCLUSIONS: Without the need for additional resources, implementation of the MY-Q in a pediatric tertiary care diabetes clinic successfully identified QoL issues and mental health concerns among adolescents with T1D.

Mood disorders influencing endometriosis and adenomyosis: Mendelian randomisation study.

BACKGROUND: Many studies have found an association between mood-disorder-related traits and endometriosis and adenomyosis. However, the cause-effect relationship remains unclear. AIMS: We conducted Mendelian randomisation analyses to evaluate any causal relationship between mood disorders and endometriosis as well as different sites of endometriosis. METHOD: Summary-level statistics for mood-disorder-related traits and endometriosis (8288 cases, 68 969 controls) in European populations were derived from large-scale data-sets of genome-wide association studies. A two-sample Mendelian randomisation was performed using the inverse-variance weighted and weight median methods. Further sensitivity analyses, including heterogeneity, pleiotropy and leave-one-out analyses, were conducted to test the consistency of the results. RESULTS: Genetically determined mood swings (odds ratio = 2.557, 95% CI: 1.192-5.483, P = 0.016) and major depression (odds ratio = 1.233, 95% CI: 1.019-1.493, P = 0.031) were causally associated with an increased risk of endometriosis. Mood swings (odds ratio = 4.238, 95% CI: 1.194-15.048, P = 0.025) and major depression (odds ratio = 1.512, 95% CI: 1.052-2.173, P = 0.025) were also causally associated with the risk of adenomyosis. Sensitivity analyses confirmed the reliability of the results. CONCLUSIONS: Our results suggest that mood-disorder-related traits increase the risk of endometriosis and adenomyosis. This study provides new insights into the potential pathogenesis of endometriosis and adenomyosis, and highlights the importance of preventing endometriosis and adenomyosis in patients with mood-disorder-related traits.

Greater within- and between-day instability is associated with worse anxiety and depression symptoms.

BACKGROUND: Depression and anxiety affect hundreds of millions of people worldwide, and their prevalence increased during the COVID-19 pandemic as social schedules were disrupted. This study explores the associations between anxiety and depression and within- and between-day instability of affective, somatic, and cognitive symptoms during the early pandemic stages. METHODS: Participants (n = 153, ages 18-77, 72 % female) reported daily levels of affective (anxiety/sadness), somatic (appetite/sleepiness), and cognitive (concentration/energy) symptoms for 14-44 days at five timepoints: 0, 3, 6, 9, and 12 h after awakening. At the end of the study, participants completed validated scales for anxiety (GAD-7) and depression (PHQ-9). Symptom instability was assessed using the Absolute Real Variability (ARV) index. Regression models examined within-day instability (WD-I) and between-day instability (BD-I) with GAD-7 and PHQ-9 scores as outcomes. RESULTS: Greater instability (both WD-I and BD-I) of affective symptoms correlated with elevated GAD-7 and PHQ-9 scores. For somatic and cognitive symptoms, greater BD-I was associated with higher scores. LIMITATIONS: The study used retrospective daily data, which could benefit from real-time assessments for improved accuracy. CONCLUSIONS: This study provides empirical evidence of a connection between greater anxiety and depression severity and increased instability in daily mood and physiological symptoms. The findings underscore the importance of consistent symptom monitoring to understand overall mental health trajectories. Additionally, it highlights the role of daily routines in stabilizing the circadian system, potentially regulating physiological and psychological processes and reducing symptom instability.

Perinatal photoperiod associations with bipolar disorder and depression: A systematic literature review and cross-sectional analysis of the UK Biobank database.

Season-of-birth associations with psychiatric disorders point to environmental (co-)aetiological factors such as natural photoperiod that, if clarified, may allow interventions toward prevention. We systematically reviewed the literature concerning season-of-birth and bipolar disorder and depression and explored associations between the perinatal natural photoperiod and these outcomes in a cross-sectional analysis of the UK Biobank database. We used mean daily photoperiod and relative photoperiod range (relative to the mean) in the 3rd trimester and, separately, in the first 3 months post birth as metrics. From review, increased risk of depression with late spring birth is compatible with increased odds of probable single episode-, probable recurrent-, and diagnosed depression (OR 2.85 95 %CI 1.6-5.08, OR 2.20 95 %CI 1.57-3.1, and OR 1.48 95 %CI 1.11-1.97, respectively) with increasing 3rd trimester relative photoperiod range for participants who experienced relatively non-extreme daily photoperiods. Risk of bipolar disorder with winter-spring birth contrasted with no consistent patterns of perinatal photoperiod metric associations with bipolar disorder in the UK Biobank. As natural photoperiod varies by both time-of-year and latitude, perinatal natural photoperiods (and a hypothesized mechanism of action via the circadian timing system and/or serotonergic circuitry associated with the dorsal raphe nucleus) may reconcile inconsistencies in season-of-birth associations. Further studies are warranted.

Healthy lifestyle and the risk of depression recurrence requiring hospitalisation and mortality among adults with pre-existing depression: a prospective cohort study.

BACKGROUND: Although lifestyle-based treatment approaches are recommended as important aspects of depression care, the quantitative influence of aggregated healthy lifestyles on depression recurrence and mortality remains unknown. OBJECTIVE: To investigate the association between healthy lifestyle and the risks of first-time hospitalisation for recurrent depression and mortality. METHODS: 26 164 adults with depression (mean (SD) age, 56.0 (7.9) years) were included from UK Biobank between 2006 and 2010 and followed up until 2022. Depression was defined as a physician's diagnosis in hospital admissions or the use of prescribed antidepressant medication. A weighted healthy lifestyle score (HLS) was calculated based on smoking, alcohol consumption, diet, sleep pattern, physical activity, social health, employment status and greenspace interaction. FINDINGS: Over a 13.3-year follow-up, 9740 cases of first-time hospitalisation due to depression recurrence and 1527 deaths were documented. Compared with the lowest HLS tertile, the highest tertile was associated with a 27% lower risk (HR=0.73, 95% CI 0.69 to 0.77) of first-time hospitalisation for depression recurrence and a 22% (HR=0.78, 95% CI 0.68 to 0.91) lower risk of mortality among adults with depression. Lower risks of first-time hospitalisation for depression recurrence were observed among those who smoked less, drank more alcohol, followed healthier diets and sleep patterns, spent more time employed in current job or had greater exposure to greenspace. CONCLUSION AND IMPLICATIONS: Greater adherence to healthy lifestyle was associated with a lower risk of hospitalisation and mortality among adults with pre-existing depression. Incorporating behaviour modification as an essential part of clinical practice for depressed patients could complement medication-based therapies.

Mood and physiological effects of visual stimulation with images of the natural environment in individuals with depressive and anxiety disorders.

BACKGROUND: Nature therapies are gaining attention as non-pharmacological treatments for depressive and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-improving effects of visual stimulation with natural environmental images in patients with depressive and anxiety disorders. METHODS: We conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depressive or anxiety disorders and receiving outpatient treatment. Visual stimuli of natural environments consisted of green-themed nature images, while the control stimuli featured urban scenes dominated by buildings. The stimulation lasted for 3 min, during which orbital prefrontal brain activity was measured using a 2-channel Near-infrared Spectroscopy (NIRS) system, and heart rate variability was assessed using fingertip accelerated plethysmography. RESULTS: Mood enhancement effects were observed in both the depressive and anxiety disorder groups following visual stimulation with nature images. In the depression group, orbital prefrontal oxygenated hemoglobin concentration significantly increased after visual stimulation with nature images, while there were no significant changes in the anxiety group. However, in the anxiety group, a correlation was found between reduced orbital prefrontal oxygenated hemoglobin in response to nature images and increased mood-enhancement. Furthermore, the severity of depressive symptoms did not significantly affect the intervention effects, whereas heightened anxiety symptoms was associated with a smaller mood enhancement effect. DISCUSSION: Our study demonstrates the benefits of nature image stimulation for patients with depressive and anxiety disorders. Differential orbital prefrontal brain activity impacts notwithstanding, both conditions exhibited mood enhancement, affirming the value of nature image stimulation.

Development of a self-report screening instrument for emotional dysregulation: the Reactivity, Intensity, Polarity and Stability questionnaire, screening version (RIPoSt-SV).

BACKGROUND: Emotional dysregulation (ED) refers to the inability to manage emotional experiences or expressions hindering goal-oriented behavior. Moderate impairment on at least two domains among temper control, affective lability, and emotional over-reactivity has been proposed to identify ED in adults with attention-deficit/hyperactivity disorder (ADHD). No screening measure designed for use in diverse psychiatric samples exists. We aimed to develop a self-report screening tool for ED based on the 40-item version of the Reactivity, Intensity, Polarity, and Stability questionnaire (RIPoSt-40). METHODS: 150 adult outpatients with non-psychotic conditions were enrolled between February and July 2023 at the Second Psychiatry Unit of Pisa University Hospital. Clinically significant ED (CSED) was defined based on the previously suggested approach for ADHD. Differences between patients with and without CSED were tested. To develop our screening instrument, a decision tree algorithm was trained by hyperparameter tuning through 5-fold cross-validation in 120 subjects and tested on the remaining 30. RESULTS: 75 subjects met criteria for CSED (50 %). CSED was associated with lower age and higher prevalence of psychiatric conditions, including minor mood disorders, ADHD, cannabis use disorders, and eating disorders. We identified a decision tree consisting of six items from RIPoSt-40 that effectively detected CSED, with accuracy, sensitivity, specificity, positive and negative predictive values of 80 % or higher in both the training and testing sets. LIMITATIONS: Tertiary-level; no consensus on criteria; sample size. CONCLUSION: The screening version of the Reactivity, Intensity, Polarity, and Stability questionnaire (RIPoSt-SV) demonstrates promise as a valuable tool for ED screening in clinical settings.