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Background The Minimal Clinically Important Difference (MCID) is a crucial measure in clinical research, reflecting the smallest change in symptoms that patients perceive as beneficial. While MCID values have been established for various symptoms in Parkinson’s disease (PD), they remain underexplored in the context of depression. Objective This study aims to determine MCID values for three commonly used depression scales in PD: The Beck Depression Inventory (BDI-II), the Hospital Anxiety and Depression Scale – Depression subscale (HADS-D), and the 15-item Geriatric Depression Scale (GDS-15). Methods A total of 112 individuals with PD and depression (mean age = 70.91 ± 3.12 years) participated in a 10-week cognitive behavioral therapy program. The MCID values were estimated using both distribution-based and anchor-based methods. The Global Rating of Change (GRoC) scale was used as an anchor to assess perceived changes in depressive symptoms. Results MCID values were refined using the mean difference approach, resulting in the following: -5.79 points for the BDI-II, -3.52 points for the HADS-D, and − 3.05 points for the GDS-15, all with statistical significance ( p  < 0.001). Using Youden’s index, the optimal MCID cut-off values were ≤ -3 points for BDI-II, ≤ -2 points for HADS-D, and ≤ -2 points for GDS-15, with high sensitivity and specificity for each. The MCID values derived from the distribution-based method for the BDI-II, HADS-D, and GDS-15 were 5.57–3.55, 1.11–3.07, and 0.96–2.66 points, respectively. Conclusions This study establishes MCID thresholds for commonly used depression scales in PD. These benchmarks are essential for improving clinical decision-making and evaluating the effectiveness of interventions in both clinical and research settings.

Several studies have used the Edinburgh Postnatal Depression Scale (EPDS), developed to screen new mothers, also for new fathers. This study aimed to further contribute to this knowledge by comparing assessment of possible depression in fathers and associated demographic factors by the EPDS and the Gotland Male Depression Scale (GMDS), developed for “male” depression screening. The study compared EPDS score ≥10 and ≥12, corresponding to minor and major depression, respectively, in relation to GMDS score ≥13. At 3–6 months after child birth, a questionnaire was sent to 8,011 fathers of whom 3,656 (46%) responded. The detection of possibly depressed fathers by EPDS was 8.1% at score ≥12, comparable to the 8.6% detected by the GMDS. At score ≥10, the proportion detected by EPDS increased to 13.3%. Associations with possible risk factors were analyzed for fathers detected by one or both scales. A low income was associated with depression in all groups. Fathers detected by EPDS alone were at higher risk if they had three or more children, or lower education. Fathers detected by EPDS alone at score ≥10, or by both scales at EPDS score ≥12, more often were born in a foreign country. Seemingly, the EPDS and the GMDS are associated with different demographic risk factors. The EPDS score appears critical since 5% of possibly depressed fathers are excluded at EPDS cutoff 12. These results suggest that neither scale alone is sufficient for depression screening in new fathers, and that the decision of EPDS cutoff is crucial.

Background For older adults, life satisfaction and depressive symptoms are related to quality of life. In this group of society, life satisfaction is particularly associated with the emotional area. The notion of life satisfaction is related to many factors, such as personality traits, moods and various life events, and poses challenges in various aspects of everyday life. Given that mental health is one of the determinants of the quality of life of older adults, it is reasonable to conduct research among this growing group of the population. The aim of this study was to assess life satisfaction and depressive symptoms in mentally active older adults in Poland. Methods The study covered 125 attendees at the University of Healthy Senior (UHS) and 125 auditing students at the University of Psychogeriatric Prophylaxis (UPP), organised by the Faculty of Health Sciences at the Medical University of Bialystok, of whom 78.3% were female and 21.7% male. The study was conducted using four standardised scales: the Satisfaction with Life Scale (SWLS), Beck Depression Inventory, Geriatric Depression Scale (GDS), and Hospital Anxiety and Depression Scale (HADS). Results Seniors who participated in the study were satisfied with their lives; the average SWLS score was 23 points. Men rated their level of satisfaction higher than women: the median score on the SWLS was 26 points for men and 23 points for women. Life satisfaction and mental disorders did not differ on the basis of sex, age, or education (the type of place of education attended). As the level of depression increased, life satisfaction decreased. Statistically significant correlations of average strength were found between the point values of the four measures of depression under consideration and were evenly distributed from 0.57 to 0.69. Conclusions The high level of life satisfaction and a low level of mental disorders should be maintained in this population, and additional educational activities should be organised among seniors on a large scale. There were no differences in the distribution of psychometric measure scores among the three compared age groups of respondents in this study. Each of the questionnaires used measured of different aspects of depressive conditions, and it is worth using them in parallel rather than interchangeably.

ObjectivesOptimal cutoff thresholds are selected to separate ‘positive’ from ‘negative’ screening results. We evaluated how depression screening tool studies select optimal cutoffs.MethodsWe included studies from previously conducted meta‐analyses of Patient Health Questionnaire‐9, Edinburgh Postnatal Depression Scale, or Hospital Anxiety and Depression Scale—Depression accuracy. Outcomes included whether an optimal cutoff was selected, method used, recommendations made, and reporting guideline and protocol citation.ResultsOf 212 included studies, 172 (81%) attempted to identify an optimal cutoff, and 147 of these 172 (85%) reported one or more methods. Methods were heterogeneous with Youden's J (N = 35, 23%) most common. Only 23 of 147 (16%) studies described a rationale for their method. Rationales focused on balancing sensitivity and specificity without describing why desirable. 131 of 172 studies (76%) identified an optimal cutoff other than the standard; most did not make use recommendations (N = 56; 43%) or recommended using a non‐standard cutoff (N = 53; 40%). Only 4 studies cited a reporting guideline, and 4 described a protocol with optimal cutoff selection methods, but none used the protocol method in the published study.ConclusionsResearch is needed to guide how selection of cutoffs for depression screening tools can be standardized and reflect clinical considerations.

This post-hoc analysis evaluated the agreement between Clinical Global Impressions-Severity (CGI-S) score- and Montgomery-Åsberg Depression Rating Scale (MADRS) total score-based assessment of response in patients with treatment-resistant depression (TRD) treated with esketamine nasal spray plus a newly initiated oral antidepressant (ESK-NS + AD). Data were analyzed from a phase 3, randomized, double-blind study (TRANSFORM-2) of flexibly dosed esketamine or placebo nasal spray plus a newly initiated oral-AD in adults with moderate-to-severe TRD. Patients with ≥50% reduction in MADRS from baseline at the end of the 4-week acute treatment phase were defined as responders. For the CGI-S-based assessment of response, patients with ≥2 points decrease from baseline or a CGI-S score of ≤3 (mildly depressed to normal) were considered responders. Cohen's kappa coefficient was calculated to assess level of agreement between MADRS and CGI-S-based assessments. At the end of 4-week treatment, the proportion of responders among all study patients (n=201) was similar when assessed using the MADRS (61%) and CGI-S (62%) methods, with substantial agreement (Cohen's kappa=0.76; sensitivity=92%; specificity=84%) between both methods. When restricting analysis to ESK-NS + AD-treated patients (n=101) who had a higher response rate (on MADRS: 69%; on CGI-S: 68%), the agreement remained substantial (Cohen's kappa=0.75; sensitivity=91%; specificity=84%). The CGI-S may be a practical and reliable alternative to the MADRS to assess response to ESK-NS + AD in patients with TRD and can be used in real-world practice to support informed treatment decisions.

Background While the gold standard for the diagnosis of mental disorders remains the structured clinical interview, self-report measures continue to play an important role in screening and measuring progress, as well as being frequently employed in research studies. Two widely-used self-report measures in the area of depression and anxiety are Zung’s Self-Rating Depression Scale (SDS) and Self Rating Anxiety Scale (SAS). However, considerable confusion exists in their application, with clinical cut-offs often applied incorrectly. This study re-examines the credentials of the Zung scales by comparing them with the Depression Anxiety Stress Scale (DASS) in terms of their ability to predict clinical diagnoses of anxiety and depression made using the Patient Health Questionnaire (PHQ). Method A total sample of 376 adults, of whom 87 reported being in receipt of psychological treatment, completed the two-page version of the PHQ relating to depression and anxiety, together with the SDS, the SAS and the DASS. Results Overall, although the respective DASS scales emerged as marginally stronger predictors of PHQ diagnoses of anxiety and depression, the Zung indices performed more than acceptably in comparison. The DASS also had an advantage in discriminative ability. Using the current recommended cut-offs for all scales, the DASS has the edge on specificity, while the Zung scales are superior in terms of sensitivity. There are grounds to consider making the Zung cut-offs more conservative, and doing this would produce comparable numbers of ‘Misses’ and ‘False Positives’ to those obtained with the DASS. Conclusions Given these promising results, further research is justified to assess the Zung scales ability against full clinical diagnoses and to further explore optimum cut-off levels.

Background Previous studies suggest that alcohol dependence is associated with increased risk of depression. The occurrence of depressive symptoms is related to polymorphisms in various genetic regions. This study aimed to investigate the interaction of RETN gene polymorphisms (rs1477341, rs3745368) with alcohol dependence on depressive symptoms in adult male during acute alcohol withdrawal. Methods A total of 429 male adults were recruited in this study. Alcohol dependence was assessed using the Michigan alcoholism screening test (MAST). Depression was assessed using the 20‐item self‐rating depression scale (SDS). Hierarchical regression analysis was used to evaluate the interaction between genes and alcohol dependence on depression. Region of significance (ROS) test was used to explain the interaction effect. The strong and weak forms of the differential susceptibility and diathesis models were used to determine which fits the data better. Results Our results showed that MAST scores were significantly positively associated with SDS scores (r = 0.23, p < 0.01) in alcohol‐dependent patients during alcohol withdrawal. The interaction between genotype and alcohol dependence was significant (β = −0.14, p < 0.05) in a strong diathesis‐stress model. Susceptibility for depression symptoms was associated with alcohol dependence in RETN rs1477341 A carriers. Specifically, those that showed more alcohol dependence and the A allele of RETN rs1477341 exhibited more depression symptoms. However, RETN rs3745368 had no significant interaction with alcohol dependence. Conclusions The A allele of RETN rs1477341 may correlate with susceptibility to depression symptoms in alcohol‐dependent individuals during acute alcohol withdrawal. Previous studies suggest that alcohol dependence is associated with increased risk of depression. However, the occurrence of depressive symptoms is related to polymorphisms in various genetic regions. This study aimed to investigate the interaction of RETN gene polymorphisms (rs1477341, rs3745368) with alcohol dependence on depressive symptoms in adult male during acute alcohol withdrawal. A total of 429 male adults were included in this study. Alcohol dependence was assessed using the Michigan alcoholism screening test. Depression was assessed using the 20‐items self‐rating depression scale. First, we used hierarchical regression analysis to evaluate the interaction between genes and alcohol dependence on depression. Then, region of significance (ROS) test was used to explain the interaction effect. Finally, we further contrasted the strong and weak forms of the differential susceptibility and diathesis models to determine which provided the best fit to the data. Our results showed that MAST scores were significantly positively associated with SDS scores (r = 0.23, p < 0.01) in alcohol dependent patients during alcohol withdrawal. In this study, the interaction between genotype and alcohol dependence was significant (β = −0.14, p < 0.05), and consistent with the strong diathesis‐stress model. Susceptibility for depression symptoms was associated with alcohol dependence in RETN rs1477341 A carriers. Specifically, those that showed more alcohol dependence and the A allele of RETN rs1477341 exhibited more depression symptoms. However, RETN rs3745368 had no significant interaction with alcohol dependence. This study analyzing specific gene–environment interactions suggests that the A allele of RETN rs1477341 may correlate with susceptibility to depression symptoms in alcohol dependent individuals during acute alcohol withdrawal.

Synaptic loss and deficits in functional connectivity are hypothesized to contribute to symptoms associated with major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). The synaptic vesicle glycoprotein 2A (SV2A) can be used to index the number of nerve terminals, an indirect estimate of synaptic density. Here, we used positron emission tomography (PET) with the SV2A radioligand [ 11 C]UCB-J to examine synaptic density in n  = 26 unmedicated individuals with MDD, PTSD, or comorbid MDD/PTSD. The severity of depressive symptoms was inversely correlated with SV2A density, and individuals with high levels of depression showing lower SV2A density compared to healthy controls ( n  = 21). SV2A density was also associated with aberrant network function, as measured by magnetic resonance imaging (MRI) functional connectivity. This is the first in vivo evidence linking lower synaptic density to network alterations and symptoms of depression. Our findings provide further incentive to evaluate interventions that restore synaptic connections to treat depression. Lowered synaptic density is believed to occur in major depressive disorder and PTSD, possibly as an effect of stress. Here, the authors use positron emission tomography (PET) to measure levels of the synaptic marker SV2A and show that SV2A density is lower in those with more severe symptoms of depression.

Despite postpartum depression being a common mental health problem, there is no screening method for it. The only risk assessment used is the Edinburgh Postnatal Depression Scale (EPDS). We investigated the relationship between Brief Scale for Coping Profile (BSCP) subscales performed during pregnancy and EPDS scores. We recruited 353 women with normal pregnancies (160 primiparas, and 193 multiparas) and performed BSCP at 26 weeks of gestation. The EPDS was first performed within one week after delivery (T1), and then after one month (T2). Spearman’s correlation coefficients were calculated for the BSCP and EPDS for the whole and primi/multipara groups. Multiple regression analysis was performed with the EPDS T2 scores as the dependent variable. The EPDS scores were higher in the primipara group compared to the multipara (p < 0.001), and the EPDS T1 scores were higher than the overall T2 score (p < 0.001). In the multiple regression analysis, EPDS T1 and the “seeking help for solution” subscale were selected as significant explanatory variables when analyzed in the whole group; EPDS T1 and “active solution” for the primiparas; and EPDS T1, “changing mood”, and “seeking help for solution” for the multiparas. The BSCP can be used as a screening tool for postpartum depression during pregnancy.

Objective: To assess apathy in patients with Parkinson’s disease and its relation to disability, mood, personality, and cognition. Methods: Levels of apathy in 45 patients with Parkinson’s disease were compared with a group of 17 similarly disabled patients with osteoarthritis. Additional neuropsychiatric data were collected concerning levels of depression, anxiety, and hedonic tone. Personality was assessed with the tridimensional personality questionnaire. Cognitive testing included the mini-mental state examination, the Cambridge examination of cognition in the elderly, and specific tests of executive functioning. Results: Patients with Parkinson’s disease had significantly higher levels of apathy than equally disabled osteoarthritic patients. Furthermore, within the Parkinson sample, levels of apathy appear to be unrelated to disease progression. The patients with Parkinson’s disease with the highest levels of apathy where not more likely to be depressed or anxious than those with the lowest levels of apathy, though they did show reduced hedonic tone. No differences in personality traits were detected in comparisons between patients with Parkinson’s disease and osteoarthritis, or between patients in the Parkinson group with high or low levels of apathy. As a group, the patients with Parkinson’s disease tended not to differ significantly from the osteoarthritic group in terms of cognitive skills. However, within the Parkinson’s disease sample, the high apathy patients performed significantly below the level of the low apathy patients. This was particularly evident on tests of executive functioning. Conclusions: Apathy in Parkinson’s disease is more likely to be a direct consequence of disease related physiological changes than a psychological reaction or adaptation to disability. Apathy in Parkinson’s disease can be distinguished from other psychiatric symptoms and personality features that are associated with the disease, and it is closely associated with cognitive impairment. These findings point to a possible role of cognitive mechanisms in the expression of apathy.