Community participation as a predictor of depressive symptoms among individuals with serious mental illnesses

Background: People with serious mental illnesses have elevated levels of depressive symptoms. Limited engagement in meaningful activities, such as work, social interactions, volunteering, and participation in faith, are one plausible explanation for this. Increased community participation over time may be associated with decreased depressive symptoms. Aim: Examine whether an increase in participation over time predicts a decrease in depression after controlling for depression at the baseline. Methods: Participants were 183 adults with schizophrenia spectrum, bipolar disorder, or major depressive disorder who completed the Hopkins Symptom Index – Depression subscale and the Temple University Community Participation Measure. Participants completed these measures at baseline and either a 12- or 24-month follow-up timepoint. Multiple regression analyses were conducted with the depression score as a dependent variable and changes in community participation as a predictor variable. Demographics, baseline depression score, and time interval between baseline and last observation were entered as control variables. Results: Endorsing more activities as important, participating in more important areas that are important, and participating ‘enough’ in more important areas over time were each significant predictors of decreases in depression. Conclusion: These findings enhance the connection between community participation and depression and suggest that a focus on participation may be important in terms of boosting both community functioning and treatment goals.

Psychometric Properties of the PHQ-9, HADS, and CES-D Questionnaires and the Prevalence of Depression in Patients with Cancer Receiving Radiotherapy

Objective: The primary aim was to compare the psychometric properties among the Patient Health Questionnaire (PHQ-9) (both including and excluding somatic symptom items), the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D), and the Center for Epidemiologic Studies Depression Scale (CES-D) in detecting depression in cancer patients receiving radiotherapy. The secondary aim was to investigate the prevalence of depression in this group of patients.Materials and Methods: Overall, 198 participants with cancer diagnosis from a radiology clinic took part in the study. They completed PHQ-9, HADS-D, and CES-D questionnaires and were interviewed in line with the Mini-International Neuropsychiatric Interview (M.I.N.I.) to confirm the diagnosis. The PHQ-9 was analyzed for three scoring methods: sum-score, inclusive (including all items), and exclusive (excluding 4 somatic symptom items) methods. The psychometric properties of each questionnaire were analyzed. The prevalence of depression measured by the M.I.N.I. was evaluated.Results: The sum-score method of the PHQ-9 had an equal sensitivity (100%) to the HADS-D and CES-D, and had a slightly higher specificity (91.1%) than the HADS-D (87.4%) and CES-D (90.6%). When compared results within the PHQ-9, the sum-score method had greater sensitivity than the inclusive (71.4%) and exclusive (42.9%) methods, and had a slightly lower specificity than the inclusive (96.9%) and exclusive (97.4%) methods. The prevalence of depression assessed by the M.I.N.I was 3.5%.Conclusion: The sum-score method of the PHQ-9 seemed to be the best tool to use for depression screening in cancer patients receiving radiotherapy due to its excellent sensitivity and specificity.

Sadder and Less Gullible?—Investigating Depressive Realism Effects in Judgments of Veracity

Introduction: Depressive realism literature suggests that depressed individuals’ negative self-view is correlated with less self-serving positivity bias. Also, research suggests some social cognitive advantages for individuals with subclinical levels of depression (dysphoria), especially in identifying negative emotions. This study tested the hypothesis that individuals with dysphoric symptoms show less of a truth bias and are more accurate at detecting deception. Moreover, this effect was expected to be stronger in positive statements (I like) than in negative (I dislike) statements. Finally, a lower judgment confidence and a more accurate assessment of their lie detection ability were expected to be found in individuals with dysphoric symptoms. Methods: Two hundred-sixty-nine participants judged the veracity of 24 video statements. Analyses tested the hypotheses with three different measures of depression: the IPIP-240 Depression Subscale, the PHQ-9, and the DESC-I. Results: In contrast to the assumptions, results found no evidence that individuals with dysphoric symptoms were better at identifying false and true messages in general. While higher scores of the DESC-I were negatively correlated with accuracy in lie detection, the IPIP-240 and the PHQ-9 were found to be not significantly correlated with lie detection accuracy. While for like statements individuals with dysphoric symptoms and individuals without (measured with the DESC-I) were not different in accuracy, individuals with dysphoric symptoms had lower accuracy scores in dislike statements than individuals without. Moreover, the PHQ-9 found lower measures of judgment confidence in individuals with dysphoric symptoms compared to individuals without, while the other depression measurements showed no significant differences. Furthermore, no evidence for a more accurate assessment of lie detection ability in individuals with dysphoric symptoms was found. Discussion: Results and directions for future research are discussed.

Transnasal Sphenopalatine Ganglion Block for the Preventive Treatment of Chronic Daily Headache in Adolescents

Chronic headaches are a major source of morbidity in the pediatric population, affecting physical function, school attendance, social capacity, mood, and sleep. In adults, repetitive sphenopalatine ganglion (SPG) blockade has been studied as a preventive treatment for chronic migraines. This case series aims to evaluate the SPG block for the preventive treatment of chronic daily headache (CDH) in adolescents. We prospectively evaluated 17 adolescents (14 females, 14 ± 1 year) with CDH not responding to cognitive behavioral therapy (CBT), physiotherapy, and standard medications. Each patient received 10 SPG blocks (two blocks/week) using the Tx360® device. At the end of treatment, 10 patients (59%) reported a Patient’s Global Impression of Change (PGIC) score ≥ 67%, and 3 months after the end of treatment, nine patients (53%) sustained a PGIC ≥ 67%. There was also a statistically significant reduction in the depression subscale of the Revised Children’s Anxiety and Depression Scale (RCADS) at the end of treatment and 3 months post-treatment compared with baseline. The procedure was well tolerated with no adverse effects. In our study, the use of repeat SPG blockade was associated with sustained benefits on the PGIC and the depression subscale of the RCADS when used as preventive headache treatment in adolescents with refractory CDH.

Depression Levels Influence the Rate of Asthma Exacerbations in Females

Background: Anxiety and depression are common psychological disturbances among asthmatic patients. The aim of the present study is the assessment of anxiety and depression in asthmatic patients and their correlation with symptoms control level and number of exacerbations per year. Methods: One hundred patients with asthma diagnosis, according to the Global Initiative for Asthma (GINA), aged > 18 years old, having a stable disease, were included. Emotional status was evaluated using the Hospital Anxiety Depression Scale (HADS). Patients were followed up for a year to assess the number and severity of exacerbations. Results: Most of our patients were female (58%), middle-aged (mean = 54 ± 13), and married (81%), with low frequency of smoking habits (smokers, ex-smokers and non-smokers were 26%, 30% and 37%, respectively) and low levels of both anxiety and depression [median (interquartile range (IQR)) = 4(2) and median (IQR) = 4(2), respectively]. At the low and moderate level of the depression subscale, female patients experienced asthma exacerbations more frequently compared to male patients (adjusted Incidence Rate Ratio (aIRR) = 4.30; 95% Confidence Interval (CI): 1.94–9.53 and aIRR = 1.82; 95% CI: 1.07–3.13, respectively). Conclusions. Clinicians should evaluate asthma patients for depression, as gender differentially influences outcomes among those with low and moderate levels of depression, with female asthmatics presenting more frequent exacerbations.

Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis

ObjectiveTo evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems.DesignSystematic review and individual participant data meta-analysis.Data sourcesMedline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018).Review methodsEligible datasets included HADS-D scores and major depression status based on a validated diagnostic interview. Primary study data and study level data extracted from primary reports were combined. For HADS-D cut-off thresholds of 5-15, a bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, in studies that used semi-structured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders), fully structured interviews (eg, Composite International Diagnostic Interview), and the Mini International Neuropsychiatric Interview. One stage meta-regression was used to examine whether accuracy was associated with reference standard categories and the characteristics of participants. Sensitivity analyses were done to assess whether including published results from studies that did not provide raw data influenced the results.ResultsIndividual participant data were obtained from 101 of 168 eligible studies (60%; 25 574 participants (72% of eligible participants), 2549 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of seven or higher for semi-structured interviews, fully structured interviews, and the Mini International Neuropsychiatric Interview. Among studies with a semi-structured interview (57 studies, 10 664 participants, 1048 with major depression), sensitivity and specificity were 0.82 (95% confidence interval 0.76 to 0.87) and 0.78 (0.74 to 0.81) for a cut-off value of seven or higher, 0.74 (0.68 to 0.79) and 0.84 (0.81 to 0.87) for a cut-off value of eight or higher, and 0.44 (0.38 to 0.51) and 0.95 (0.93 to 0.96) for a cut-off value of 11 or higher. Accuracy was similar across reference standards and subgroups and when published results from studies that did not contribute data were included.ConclusionsWhen screening for major depression, a HADS-D cut-off value of seven or higher maximised combined sensitivity and specificity. A cut-off value of eight or higher generated similar combined sensitivity and specificity but was less sensitive and more specific. To identify medically ill patients with depression with the HADS-D, lower cut-off values could be used to avoid false negatives and higher cut-off values to reduce false positives and identify people with higher symptom levels.Trial registrationPROSPERO CRD42015016761.

Perceived stress among university students in south-east Serbia during the COVID-19 outbreak

Background The COVID-19 pandemic has brought into focus the mental health of the student population. The study aimed to analyze the psychological response to the COVID-19 outbreak in terms of perceived stress and its related factors among university students in south-east Serbia. The study was conducted during the increased incidence of COVID-19 in Serbia. Method A total of 434 students from the public university in south-east Serbia enrolled in the study and completed the measures of socio-demographic data, the perceived stress scale (PSS-10), the Coping Strategy Indicator (CSI) and the General Health Questionnaire (GHQ-28). The data were analyzed through quantitative and qualitative methods. Results Study findings suggest that the mean perceived stress score was placed to 20.43 (± 7.67). Our model showed that female gender, higher scores on anxiety/insomnia and depression subscale as well as the coping strategy avoidance predicted higher perceived stress, while higher scores on social dysfunction were related to the reduced perceived stress scores. Conclusion Notwithstanding the study limitation, findings provided authentic data of stress reactions of the students in south-east Serbia during the COVID-19 outbreak. The findings confirm the need to examine students' experiences in emergencies and crises, as well as to make a plan for online stress management programs that would help alleviate stress during a global pandemic.

Effect of Solitary on Depression and Well-being of Older Adults Residing in Old Homes

The study aimed to examine the effect of solitary on depression and the well-being of older adults residing in old homes. The sample comprised of older adults residing in old homes (N = 100). Solitude Scale, Depression subscale of Depression, Anxiety, and Stress Scale and Short Warwick Edinburg Mental Well-Being Scale were applied on the older adults. Linear Regression analysis showed that solitary positively predicted depression in older adults residing in old homes, whereas solitary negatively predicted well-being in older adults residing in old homes. The findings of this study can be used to improve the mental health of older adults residing in old homes.