Subjective and objective measures of cognitive function are correlated in persons with Post-COVID-19 Condition: a secondary analysis of a Randomized Controlled Trial.

BACKGROUND: It remains unclear whether subjective and objective measures of cognitive function in Post COVID-19 Condition (PCC) are correlated. The extent of correlation has mechanistic and clinical implications. METHODS: This post-hoc analysis of a randomized, double-blind, placebo-controlled clinical trial contains baseline data of subjective and objective measures of cognition in a rigorously characterized cohort living with PCC. Herein, we evaluated the association between subjective and objective condition function, as measured by the Perceived Deficits Questionnaire, 20-item (PDQ-20) and the Digit Symbol Substitution Test (DSST) and Trails Making Test (TMT)-A/B, respectively. RESULTS: A total of 152 participants comprised the baseline sample. Due to missing data, our statistical analyses included 150 for self-reported PDQ-20, 147 individuals for combined DSST-measured cognitive function (composite z-score of the Pen/Paper plus Online CogState Version, NcombinedDSST), 71 for in-person DSST-measured cognitive function (Pen/Paper Version), 70 for TMT-A-measured cognitive function, and 70 for TMT-B-measured cognitive function. After adjusting for age, sex, and education, PDQ-20 was significantly correlated with pen-and-paper DSST (ß = -0.003, p = 0.002) and TMT-B (ß = 0.003, p = 0.008) scores, but not with TMT-A scores (ß = -0.001, p = 0.751). CONCLUSIONS: Overall, a statistically significant correlation was observed between subjective and objective cognitive functions. Clinicians providing care for individuals with PCC who have subjective cognitive function complaints may consider taking a measurement-based approach to cognition at the point of care that focuses exclusively on patient-reported measures.

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.

BACKGROUND: Identifying individuals with depressive symptomatology (DS) promptly and effectively is of paramount importance for providing timely treatment. Machine learning models have shown promise in this area; however, studies often fall short in demonstrating the practical benefits of using these models and fail to provide tangible real-world applications. OBJECTIVE: This study aims to establish a novel methodology for identifying individuals likely to exhibit DS, identify the most influential features in a more explainable way via probabilistic measures, and propose tools that can be used in real-world applications. METHODS: The study used 3 data sets: PROACTIVE, the Brazilian National Health Survey (Pesquisa Nacional de Saúde [PNS]) 2013, and PNS 2019, comprising sociodemographic and health-related features. A Bayesian network was used for feature selection. Selected features were then used to train machine learning models to predict DS, operationalized as a score of ≥10 on the 9-item Patient Health Questionnaire. The study also analyzed the impact of varying sensitivity rates on the reduction of screening interviews compared to a random approach. RESULTS: The methodology allows the users to make an informed trade-off among sensitivity, specificity, and a reduction in the number of interviews. At the thresholds of 0.444, 0.412, and 0.472, determined by maximizing the Youden index, the models achieved sensitivities of 0.717, 0.741, and 0.718, and specificities of 0.644, 0.737, and 0.766 for PROACTIVE, PNS 2013, and PNS 2019, respectively. The area under the receiver operating characteristic curve was 0.736, 0.801, and 0.809 for these 3 data sets, respectively. For the PROACTIVE data set, the most influential features identified were postural balance, shortness of breath, and how old people feel they are. In the PNS 2013 data set, the features were the ability to do usual activities, chest pain, sleep problems, and chronic back problems. The PNS 2019 data set shared 3 of the most influential features with the PNS 2013 data set. However, the difference was the replacement of chronic back problems with verbal abuse. It is important to note that the features contained in the PNS data sets differ from those found in the PROACTIVE data set. An empirical analysis demonstrated that using the proposed model led to a potential reduction in screening interviews of up to 52% while maintaining a sensitivity of 0.80. CONCLUSIONS: This study developed a novel methodology for identifying individuals with DS, demonstrating the utility of using Bayesian networks to identify the most significant features. Moreover, this approach has the potential to substantially reduce the number of screening interviews while maintaining high sensitivity, thereby facilitating improved early identification and intervention strategies for individuals experiencing DS.

Mental health among centenarians living in Switzerland.

BACKGROUND: Given the increasing number of people achieving exceptionally long lifespans, there is an urgent need for a better understanding of mental health in centenarians. This study aimed to understand the prevalence of mental health conditions-depressive symptoms, anxiety, sleep disturbances, disinhibition, and aberrant motor behaviour-among centenarians in Switzerland. METHODS: Data were collected from N = 169 participants via telephone interviews or paper questionnaires, either directly from centenarians or through proxy informants. Half the data were collected during a period when protective measures were imposed due to the COVID-19 pandemic, and half were collected after the measures were lifted. RESULTS: Mental health conditions were prevalent in our sample, particularly depressive symptoms (44.51%) and anxiety (42.17%). Significant positive associations were found between depressive symptoms and anxiety, and between disinhibition and aberrant motor behaviour. Furthermore, we identified statistical predictors for the occurrence of mental health conditions. Notably, institutionalised living increased the odds of depressive symptomatology, while those with higher education levels or an absence of cognitive impairment experienced more sleep disturbances. Finally, cognitive impairment was linked to increased disinhibition and aberrant motor behaviour. CONCLUSIONS: The high prevalence of mental health conditions underscores the need for proactive mental health care strategies in advanced old age. Moreover, it is vital to consider the interconnected nature of mental health conditions and to prioritise vulnerable groups, such as centenarians in institutional settings.

Depressive symptomatology from a network perspective: Differences in the experience of symptoms involved in the self-recognition of depression and the diagnosis process by social position.

BACKGROUND: While social disparities in depression are well-documented, the symptom experience across social positions remains less studied. AIMS: This study examines the connections between depressive symptoms and self-recognizing a depressive episode, on the one hand, and clinical diagnosis, on the other hand, by three social position indicators. METHODS: We analyzed baseline data from a population-based cohort of adults living in France, grouping participants by three indicators: education, financial difficulties, and occupation, and stratifying by sex. Utilizing a psychometric network approach, we estimated 24 networks. Nodes corresponded to the 20 CES-D items and 1 external variable, either 'Limitations due to depression' or 'Clinical depression'. Comparisons between socially disadvantaged and advantaged groups across the three social indicators were made in terms of network structures, global strength, and edge weights involving symptoms and both external nodes. RESULTS: The study included data from 201,952 participants. Individuals in lower social positions exhibited higher rates of depressive-related variables. Four depressive symptoms emerged as crucial, being linked both to 'Clinical depression' and 'Limitations' across all social positions. Socially disadvantaged groups had denser networks. Some of the tests comparing network structures according to social position were significant, suggesting differences in the symptom activation chains. Connections between each external node and 'Felt depressed' and 'Could not get going' were non-invariant in educational and financial-based networks. CONCLUSIONS: Findings highlight four depressive symptoms, likely to play a key role in the experience of depression across all social positions. Other insights from specific symptoms could be used for improving depression care among disadvantaged populations.

Effect of Acute Ketamine Treatment on Sympathetic Regulation Indexed by Electrodermal Activity in Adolescent Major Depression.

Ketamine is a potential rapid-onset antidepressant characterized by sympathomimetic effects. However, the question of ketamine's use in treating adolescents' major depressive disorder (MDD) is still discussed. Thus, we aimed to study the acute effect of ketamine infusion treatment on sympathetic regulation using electrodermal activity (EDA) in addition to an assessment of depressive symptomatology in MDD adolescents. Twenty hospitalized adolescent girls with MDD (average age: 15.0 ± 1.46 yrs.) were examined before and two hours after a single intravenous infusion of ketamine. EDA was continuously recorded for 6 min, and depressive symptoms were assessed before and two hours after ketamine administration. The evaluated parameters included skin conductance level (SCL), nonspecific electrodermal responses (NS-SCRs), MADRS (questions no. 1-10, total score), and CDI (items A-E, total score). EDA parameters showed no significant changes after the ketamine treatment, and depressive symptoms were significantly reduced after the ketamine infusion. The analysis revealed a significant negative correlation between index SCL and CDI-A, CDI-E, and the total CDI score and between index NS-SCRs and MADRS no. 4 before the ketamine treatment. In conclusion, ketamine improved depressive symptomatology without a significant effect on EDA, indicating its potential safety and efficiency as an acute antidepressant intervention in adolescent MDD.

A Cross-Sectional Analysis of Parental Behavior and Adolescent Mental Health in Mexico: Insights into Excessive Alcohol Intake, Tobacco Use, Suicidal Behavior, and Depressive Symptomatology.

Depression, suicidal behavior, excessive alcohol intake, and tobacco use are the main mental health problems in adolescents. To address these problems, it is necessary to understand the many factors associated with them, including parental factors. The aim of this study was to assess the associations between parental behavior and mental health problems in adolescents in Mexico. Data from the National Health and Nutrition Survey (ENSANUT) 2018-2019, representative for Mexico, were used. Households in which a parent-adolescent child pairing was identified (regardless of family type) were selected; n = 8758 households. The four outcomes of interest that were measured in the adolescents were: excessive alcohol intake, tobacco use, suicidal behavior, and depressive symptomatology. Logistic regression models using the adjusted odds ratio (AOR) and 95% confidence interval (95% CI) were estimated. Adolescents whose parents used alcohol or tobacco and reported depressive symptoms and suicidal behavior were more likely to present these behaviors themselves (AOR = 1.47, 95% CI: 1.17-1.85; AOR = 2.26, 95% CI: 1.51-3.39; AOR = 2.61, 95% CI: 1.88-3.61; AOR = 1.74, 95% CI: 1.16-2.61, respectively). Child sexual abuse was also strongly associated with the four outcomes of interest in adolescents (AOR = 1.89, 95% CI: 1.06-3.36 for excessive alcohol intake; AOR = 2.97, 95% CI: 1.49-5.91 for tobacco use; AOR = 5.15, 95% CI: 3.27-8.09 for depressive symptoms; AOR = 6.71, 95% CI: 4.25-10.59 for suicidal behavior). The family constitutes the central nucleus of care for children and adolescents; therefore, any effort to promote adolescent mental health must necessarily involve their parents and family.

Predicting progression of cognitive decline to dementia using dyadic patterns of subjective reporting: evidence from the CompAS longitudinal study.

Objective: To analyze the validity of self and informant reports, depressive symptomatology, and some sociodemographic variables to predict the risk of cognitive decline at different follow-up times. Methods: A total of 337 participants over 50 years of age included in the CompAS and classified as Cognitively Unimpaired (CU), Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) groups were assessed at baseline and three follow-ups. A short version of the QAM was administered to assess the severity of subjective cognitive complaints (SCCs), and the GDS-15 was used to evaluate the depressive symptoms. At each follow-up assessment, participants were reclassified according to the stability, regression or progression of their conditions. Logistic regression analysis was used to predict which CU, SCD and MCI participants would remain stable, regress or progress at a 3rd follow-up by using self- and informant-reported complaints, depressive symptomatology, age and education at baseline and 2nd follow-ups as the predictive variables. Results: Overall, self-reported complaints predicted progression between the asymptomatic and presymptomatic stages. As the objective deterioration increased, i.e., when SCD progressed to MCI or dementia, the SCCs reported by informants proved the best predictors of progression. Depressive symptomatology was also a predictor of progression from CU to SCD and from SCD to MCI. Conclusion: A late increase in self-reported complaints make valid estimates to predict subjective decline at asymptomatic stages. However, an early increase in complaints reported by informants was more accurate in predicting objective decline from asymptomatic stages. Both, early and late decrease in self-reported complaints successfully predict dementia from prodromic stage. Only late decrease in self-reported complaints predict reversion from prodromic and pre-symptomatic stages.

Recovery Trajectories in Adolescent Girls with Anorexia Nervosa.

Background: This study aimed to document recovery trajectories among adolescents with anorexia nervosa (AN) based on three markers of remission, namely changes in body weight, food restriction, and excessive exercise, and to identify predictors of these trajectories. Methods: One hundred twenty-six adolescent girls (14.7 ± 1.3 years) were recruited during initial assessment visits at specialized eating disorder (ED) programs in five University Health Centers across the province of Quebec, Canada. z-BMI and AN symptom severity (food restriction and excessive exercise) were assessed at initial assessment visits and subsequently reassessed at each quarterly follow-up over a 12-month period to identify recovery trajectories. Results: Considering the three markers of remission, three distinct trajectories emerged: Group 1, rapid responders; Group 2, gradual responders; and Group 3, unstable responders. At initial visits, a difference between groups was found regarding the type of treatment (p = 0.01) and weight suppression (p = 0.02). Group 1 had a higher number of youths hospitalized than Group 2 and Group 3, and a greater weight suppression than Group 3. Furthermore, individuals with atypical AN were more likely to belong to Group 2 than to Group 1 and Group 3 (p < 0.0001). Conclusions: This study contributes to a better understanding of the heterogeneity of recovery trajectories in adolescent girls with AN.

How do men and women differ in their depressive symptomatology? A gendered network analysis of depressive symptoms in a French population-based cohort.

BACKGROUND: The experience of depressive manifestations and the presentation of symptoms in clinical settings may differ in men and women. Despite the extensive literature, it remains unclear how depressive manifestations interact at symptom levels in men and women. First, we aimed to describe and compare depressive networks by sex. Second, we examined symptom connections to Clinical depression and Functional Limitations as a proxy of self-recognition of a depressive episode. METHODS: We estimated networks from the 20 CES-D items in men and women from a large population-based French cohort. We computed centrality measures and ran comparisons. Then, we re-estimated two networks in men and women separately, adding, on the one hand, Clinical Depression and, on the other hand, Limitations due to a depressive episode. RESULTS: Over 200,000 participants were included in this study. Women were twice as likely to have a previous diagnosis of depression. Sex-ratio was less pronounced (1,7:1) for Limitations due to depression. Centrality measures revealed similar symptom patterns. However, network structures differed between men and women. We found some symptom connections to Clinical depression and Limitations to be non-invariant according to sex. LIMITATIONS: Cross-sectional data does not capture the direction of the connections between symptoms and an eventual diagnosis. We lacked data about the diagnosis's context and could not account for other factors influencing depressive symptomatology. CONCLUSIONS: Network structures differed, suggesting gender-specific mechanisms in activating symptoms and depressive states. Addressing central symptoms evoking depressed moods with tailored interventions may serve to tackle depressive states in men and women.

Effectiveness of Contingency Management in Tobacco Smokers with Depressive Symptoms: A Systematic Review.

Background: Effective interventions are required to address tobacco smoking in people with depressive symptomatology. In this context, contingency management could be one useful therapeutic strategy. Objectives: This study is a systematic review of tobacco cessation interventions for smokers with depressive symptomatology including a contingency management component, evaluating their efficacy with regards to tobacco abstinence, depressive symptomatology, adherence to treatment and other variables related to tobacco use. For this purpose, a search was carried out in Pubmed, PsycINFO, Cochrane, Web of Science and ClinicalTrials.gov in September 2022. The quality of the studies was assessed using the Cochrane Risk of Bias tool. Results: Of the 208 articles identified, six were included in this review. Results: For the most part, the research included suggests that contingency management is an effective strategy for improving abstinence outcomes, adherence, and other smoking-related variables such as delay discounting and intensity of cigarette demand in smokers with depressive symptomatology. Conclusions: Although contingency management could be a promising intervention in tobacco smokers with depressive symptomatology, further research in this area is still required.

Biomarkers of Alzheimer's Disease and Cerebrovascular Disease in Relation to Depressive Symptomatology in Individuals With Subjective Cognitive Decline.

BACKGROUND: Subjective cognitive decline (SCD) has gained recent interest as a potential harbinger of neurodegenerative diseases such as Alzheimer's disease (AD) and cerebrovascular disease (CVD). In addition, SCD can be related to depressive symptomatology. However, the association between AD and CVD biomarkers, depressive symptomatology, and SCD is still unclear. We investigated the association of AD and CVD biomarkers and depressive symptomatology with SCD in individuals with subjective memory complaints (SCD-memory group) and individuals with subjective concentration complaints (SCD-concentration group). METHODS: We recruited a population-based cohort of 217 individuals (all aged 70 years, 53% female participants, 119 SCD-memory individuals, 23 SCD-concentration individuals, and 89 controls). AD and CVD were assessed through cerebrospinal fluid levels of the Aß42/40 ratio and phosphorylated tau, and white matter signal abnormalities on magnetic resonance imaging, respectively. Associations between biomarkers, depressive symptomatology, and SCD were tested via logistic regression and correlation analyses. RESULTS: We found a significant association between depressive symptomatology with SCD-memory and SCD-concentration. Depressive symptomatology was not associated with AD and CVD biomarkers. Both the phosphorylated tau biomarker and depressive symptomatology predicted SCD-memory, and the Aß42/40 ratio and depressive symptomatology predicted SCD-concentration. CONCLUSIONS: The role of depressive symptomatology in SCD may differ depending on the stage within the spectrum of preclinical AD (as determined by amyloid-beta and tau positivity), and does not seem to reflect AD pathology. Our findings contribute to the emerging field of subclinical depressive symptomatology in SCD and clarify the association of different types of subjective complaints with distinct syndromic and biomarker profiles.

Internet-based cognitive-behavioral therapy is effective in reducing depressive symptomatology in type 1 diabetes: results of a randomized controlled trial.

Objective: Depression in people with diabetes is associated with poorer health outcomes. Although web programs integrating cognitive-behavioral therapy with diabetes education have shown good results, no similar approach has been implemented in Spain. This aim of this study was to administer an Internet-based cognitive-behavioral therapy program (CBT) for the treatment of mild-moderate depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study) and evaluate the efficacy of this program. Research design and methods: A pre-post randomized controlled study was conducted. The sample comprised 65 people with type 1 diabetes and mild-moderate depressive symptoms: 35 treatment group (TG) and 30 control group (CG). The following effects of the nine-session program were analyzed: depression (Beck Depression Inventory Fast Screen, BDI-FS), metabolic variables (glycosilated hemoglobin, HbA1c), and other psychological variables including anxiety (State Trait Anxiety Inventory, STAI), fear of hypoglycemia (Fear of Hypoglycemia Questionnaire, FH-15), distress (Diabetes Distress Questionnaire (DDS), quality of life (Diabetes Quality of Life Questionnaire, DQOL),and treatment adherence (Diabetes Self-Care Inventory-Revised questionnaire, SCI-R). Results: At the end of the treatment program, only 28 people were evaluated (TG=8; CG=20). However, a significant reduction was found in both groups in BDI-FS and STAI-T scores, which was significantly greater in the TG. Significant improvements were also found in the TG in DQOL, FH-15, DDS and SCI-R scores. The percentage change in these variables was also statistically significant in the TG versus the CG. However, no significant results were found in HbA1c. Conclusions: The Internet-based cognitive-behavioral therapy program for the treatment of mild-moderate depressive symptomatology in people with type 1 diabetes (WEB_TDDI1 study) is effective in reducing depressive symptomatology in the sample that completed the study. Positive results are also produced in other variables associated with depression in this population such as diabetes-related distress, trait anxiety, fear of hypoglycemia, quality of life, and adherence to diabetes treatment. Although new studies would be necessary to support the results of this platform, the results obtained are positive and support the use of this platform as an appropriate treatment for this population. Clinical trial registration: ClinicalTrials.gov; identifier NCT03473704.

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis.

BACKGROUND: Anhedonia and depressed mood are considered the cardinal symptoms of major depressive disorder. These are the first 2 items of the Patient Health Questionnaire (PHQ)-9 and comprise the ultrabrief PHQ-2 used for prescreening depressive symptomatology. The prescreening performance of alternative PHQ-9 item pairings is rarely compared with that of the PHQ-2. OBJECTIVE: This study aims to use machine learning (ML) with the PHQ-9 items to identify and validate the most predictive 2-item depressive symptomatology ultrabrief questionnaire and to test the generalizability of the best pairings found on the primary data set, with 6 external data sets from different populations to validate their use as prescreening instruments. METHODS: All 36 possible PHQ-9 item pairings (each yielding scores of 0-6) were investigated using ML-based methods with logistic regression models. Their performances were evaluated based on the classification of depressive symptomatology, defined as PHQ-9 scores ≥10. This gave each pairing an equal opportunity and avoided any bias in item pairing selection. RESULTS: The ML-based PHQ-9 items 2 and 4 (phq2&4), the depressed mood and low-energy item pairing, and PHQ-9 items 2 and 8 (phq2&8), the depressed mood and psychomotor retardation or agitation item pairing, were found to be the best on the primary data set training split. They generalized well on the primary data set test split with area under the curves (AUCs) of 0.954 and 0.946, respectively, compared with an AUC of 0.942 for the PHQ-2. The phq2&4 had a higher AUC than the PHQ-2 on all 6 external data sets, and the phq2&8 had a higher AUC than the PHQ-2 on 3 data sets. The phq2&4 had the highest Youden index (an unweighted average of sensitivity and specificity) on 2 external data sets, and the phq2&8 had the highest Youden index on another 2. The PHQ-2≥2 cutoff also had the highest Youden index on 2 external data sets, joint highest with the phq2&4 on 1, but its performance fluctuated the most. The PHQ-2≥3 cutoff had the highest Youden index on 1 external data set. The sensitivity and specificity achieved by the phq2&4 and phq2&8 were more evenly balanced than the PHQ-2≥2 and ≥3 cutoffs. CONCLUSIONS: The PHQ-2 did not prove to be a more effective prescreening instrument when compared with other PHQ-9 item pairings. Evaluating all item pairings showed that, compared with alternative partner items, the anhedonia item underperformed alongside the depressed mood item. This suggests that the inclusion of anhedonia as a core symptom of depression and its presence in ultrabrief questionnaires may be incompatible with the empirical evidence. The use of the PHQ-2 to prescreen for depressive symptomatology could result in a greater number of misclassifications than alternative item pairings.

Heterogeneous gender gaps in mental wellbeing: Do women with low economic status face the biggest gender gaps?

Gender differences in depression are globally documented across a wide range of studies that analyse self-reports of depressive symptoms or clinical diagnoses. Extensive research fails to identify any single reason for this finding but given systematic variation in depressive symptomatology across social groups, gender differences must derive at least partly from environmental or social factors. Among the social factors that are considered most important are those relating to gender differences in socio-economic status and the underlying gender division of labor. In this study, we add to existing research by interrogating heterogeneity in gender differences in mental health. Studies that investigate environmental factors typically consider these only in relation to the average gender gap in depression. We use a novel sorting and classification method (Chernozhukov et al., 2018) that makes it possible to map the full distribution of gender differences in depressive symptomatology among comparable women and men. Although we cannot attribute causality, the method allows us to isolate those social factors that are distinctive to women who experience the largest gender gap in depressive symptoms compared to those who exhibit the smallest. The study analyses detailed nationally representative micro-data from South Africa, a country with high rates of poverty, which are higher still among women. As is common elsewhere, women report significantly more depressive symptoms than men, and low socio-economic status is correlated with poor mental health. However, women with low socio-economic status are not relatively more concentrated among women who face the largest gender gap in depressive symptomatology. These findings would not be consistent with the hypothesis that women have a greater tendency than men to ruminate over economic hardship and could rather point to resilience and a "steeling effect" among poor women.

Transcultural Pilot Study of the Efficacy of Reminiscence Therapy for Mexican and Spanish Older Adults with Different Levels of Cognitive Decline.

The main objective for this study is to analyze the impact of a positive reminiscence therapy program (REMPOS) in cognitive functioning and depressive symptomatology for older adults in different vital situations (healthy aging, mild cognitive impairment, and Alzheimer's disease).This is a transcultural comparative study (older people from Spain and Mexico). A randomized design with pre-posttest measurement and twelve groups was formulated, during a period of six months of intervention (3 in Mexico and 3 in Spain). The design had: 6 experimental groups with REMPOS intervention (3 in Mexico and 3 in Spain) during a period of six months and 6 control groups that received cognitive stimulation.While a key aspect of this study is the cross-cultural differences, an important part is to determine whether each experimental group had similar results in terms of the change in magnitude between the pre and post analysis. In general, intervention significantly improved cognitive function and decreased depressive symptoms.These findings provide further evidence about the efficacy of the REMPOS therapy between different types of aging and both geographical and cultural contexts (Spain and Mexico).

Plasma carotenoids and risk of depressive symptomatology in a population-based cohort of older adults.

BACKGROUND: As part of a healthy diet, higher carotenoid intakes have been associated with a reduced risk of depression, mainly in adults, while prospective studies on plasma carotenoids in older adults are lacking. The aim of this study was to assess the prospective association between plasma carotenoids and the risk of Depressive Symptomatology (DS) in older adults. METHODS: The study sample was based on the Three-City cohort of adults aged 65y+ free from DS at enrollment in 1999. Plasma carotenoids were measured at baseline. DS was assessed every 2-3 years over 17 years and defined by a Center for Epidemiologic Studies-Depression Scale score ≥ 16 and/or by antidepressant use. The association between plasma carotenoids or carotenoid/lipids (cholesterol and triglycerides) ratio and the risk for DS was assessed through multiple random-effect logistic regression. RESULTS: The study sample was composed of 1010 participants (mean age 74 y (±4.9), 58 % of women) followed-up during a median time of 13.4 years. Plasma zeaxanthin and ratios of zeaxanthin/lipids, lutein+zeaxanthin/lipids and ß-carotene/lipids were independently associated with a significant reduced risk of DS over time (Odds ratio (OR) = 0.81, 95 % Confidence Interval (CI) [0.67;0.99], OR = 0.79 [0.67;0.98], OR = 0.79 [0.64;0.94] and OR = 0.80 [0.66;0.97] for +1 standard deviation of each exposure respectively). LIMITATIONS: Plasma carotenoids were only available at study baseline. CONCLUSION: Focusing on circulating carotenoids and considering lipids levels, the present results suggested an association between higher levels of plasma zeaxanthin, combined lutein+zeaxanthin and ß-carotene and a decreased risk of DS over time in older adults.

Depression Disorders in Mexican Adolescents: A Predictive Model.

Depression is a type of mood disorder that can impact individuals of any age. A variety of factors, including biological, psychological, and environmental factors, can contribute to the likelihood of developing depression. If the environment in which a person exists does not support its occurrence, the disorder may not manifest. The current research follows a retrospective, correlational approach, utilizing a non-probability sample of 557 high school students from public schools in Mexico City. This sample includes 181 males and 376 females, aged between 15 and 18 years, with an average age of 15.66 and a standard deviation of 0.68. The main objective of this research is to identify the variables that serve as risk factors for the development of depressive disorders in Mexican adolescents in high school. The data show that 78% of the adolescents in the total sample were at risk of depression, which is consistent with what has been reported by other researchers. The regression model shows that alcohol and drug consumption is associated with and influences the emergence and presence of depressive symptomatology and major depressive disorder. Adolescents with different sexual orientations than heterosexuals are twice as likely to suffer depression and emotional dysregulation. It was confirmed that the developmental stage and adolescence contributes as a context that favors the evolution of such a symptomatology.

eHEALTH BEFORE AND DURING COVID-19: DOES DEPRESSIVE SYMPTOMATOLOGY INFLUENCE ATTITUDES OF CAD PATIENTS, HEALTHCARE STUDENTS AND PROFESSIONALS?

BACKGROUND: This study aims to clarify CAD patients' attitudes towards telemedicine-and-telecare before and after the pandemic and to compare views with those of healthcare students and professionals (doctors), while taking into consideration the influence of depressive symptomatology. METHODS: All participants completed a modified version of the Information Technology Attitude Scales for Health (ITASH), the Center for Epidemiologic Studies Depression Scale-CES-D and a demographics questionnaire. RESULTS: All three groups showed statistically significant more positive views towards eHealth in the retest condition on all questions. CAD patients held the least positive views compared to healthcare students and professionals in both time points. The majority of the participants from all three groups reported that since their initial examination they still lacked educational experience regarding eHealth. Depressive symptomatology was found not to have an influence on eHealth reports. CONCLUSIONS: eHealth plays an important role both in prevention, treatment and care, but attitudes may act as an obstacle in using them. Future research should further investigate in more depth the complex influence of additional sociocultural and/or psychological factors for the reported differences.

Social network typologies moderate the association of loneliness with depressive symptomatology in middle-aged and older adults.

Background: Depression remains among the most prevalent mental disorders, and it severely affects daily functioning and quality of life. There has been extensive research reporting on the impact of social relationships on depression, but much of this research has only considered isolated aspects of relationships. This study derived social network types based on the multiple components of social relationships, and then investigated their effects on depressive symptoms. Methods: Using samples of 620 adults (Mage = 53.52), Latent Profile Analysis (LPA) was conducted to uncover network types based on the structural (network size, contact frequency, marital status, and social engagement), functional (levels of support and conflict), and qualitative (satisfaction with relationships) aspects of social relationships. Multiple regressions were used to test if distinct network types directly impact on depressive symptoms and whether network types moderate the association of loneliness (perceived social isolation) with depressive symptoms. Results: LPA identified four distinct network types (diverse, family-focused, friend-focused, and restricted) and there were significant differences in depressive symptoms among four network types. Analysis using the BCH method showed that individuals in the restricted network type had the highest depressive symptoms, followed in order by individuals in the friend-focused, family-focused, and diverse network types. Regression results further indicated that an individual's network network type membership was significantly associated with depressive symptoms, and being in the diverse and family-focused network types alleviated the negative effect of loneliness on depressive symptoms. Conclusion: The results suggest that both quantitative and qualitative aspects of social relationships are important in buffering against the adverse effect of loneliness on depressive symptoms. These findings underscore the utility of taking a multi-dimensional approach to uncover heterogeneity in the social networks of adults and their implications on depression.

Hypothalamic-pituitary-adrenal and autonomic response to psychological stress in abstinent alcohol use disorder individuals with and without depressive symptomatology.

BACKGROUND: Stress and depression have each been associated with relapse risk. In clinical practice, chronic alcohol use is often accompanied by poor emotional and self-regulatory processes. Tonic and phasic changes in stress responsivity impact an individual's relapse risk to alcohol. A further complicating factor is the pervasive coexistence of depressive symptoms in those with Alcohol Use Disorder (AUD), where the contribution of depressive symptomatology to these processes is not well understood. Individuals with AUD (AD) (21 with and 12 without sub-clinical depressive symptoms) and 37 social drinking controls (16 with and 21 without sub-clinical depressive symptoms) as part of a more extensive study (Fox et al., 2019). All participants were exposed to two 5-min personalized guided imagery conditions (stress and neutral) in a randomized and counterbalanced order across consecutive days. Alcohol craving, negative mood, Stroop performance, and plasma measures (cortisol, adrenocorticotrophic hormone, and salivary alpha-amylase) were collected before and after imagery exposure. RESULTS: Elevations in autonomic response (heart rate) to imagery (stress and neutral) were observed as a function of drinking (in both depressed and non-depressed individuals with alcohol use disorder compared with depressed and non-depressed social drinkers). Conversely, suppressed cortisol following stress was observed as a function of depressive symptomatology across both drinking groups. Individuals with comorbid AD and depressive symptoms demonstrated attenuated Adrenocorticotropic Hormone and poor Stroop performance compared with the other groups, indicating an interactive effect between drinking and depression on pituitary and inhibitory systems. CONCLUSION: Sub-clinical depressive pathophysiology may be distinct from drinking severity and may alter relapse-related stress adaptations during protracted abstinence from alcohol.