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1,558 results for “Mental Health”
Reddit SuicideWatch and Mental Health Collection (SWMH) for Suicidal Ideation and Mental Disorder Detection
<p>We collect this dataset from some mental health-related subreddits in https://www.reddit.com/ to further the study of mental disorders and suicidal ideation. We name this dataset as Reddit SuicideWatch and Mental Health Collection, or SWMH for short, where discussions comprise suicide-related intention and mental disorders like depression, anxiety, and bipolar. We use the Reddit official API and develop a web spider to collect the targeted forums. This collection contains a total of 54,412 posts. Specific subreddits are listed in Table 4 of the below paper, as well as the number and the percentage of posts collected in the train-val-test split.</p> <p><strong>This dataset is only for research. Please request with your institutional email. </strong></p> <p>If you use this dataset, please cite the paper as:</p> <p>Ji, S., Li, X., Huang, Z. <em>et al.</em> Suicidal ideation and mental disorder detection with attentive relation networks. <em>Neural Comput & Applic</em> (2021). https://doi.org/10.1007/s00521-021-06208-y</p> <pre>@article{ji2021suicidal, title={Suicidal ideation and mental disorder detection with attentive relation networks}, author={Ji, Shaoxiong and Li, Xue and Huang, Zi and Cambria, Erik}, journal={Neural Computing and Applications}, year={2021}, publisher={Springer} }</pre>
Longitudinal data analyses reveal a positive effect of bird diversity on human mental health
<p>A growing body of research has focused on the connection between biodiversity and human mental health, but many studies lack longitudinal data, creating problems due to endogeneity. This study stands out by utilizing a newly compiled panel dataset covering the time period between 2015-2019 to investigate the impact of bird diversity exposure on mental health and well-being. By analysing data from around 200,000 individuals from the German National Cohort Health Study and using a unique bird diversity indicator based on citizen-science data, this study found that a greater likelihood of encountering many different bird species in a person's area of residence had a significant positive effect on mental health and well-being. In addition, the study examined how different sensory abilities play a role in this relationship. These findings have national-level implications for biodiversity conservation and public health policy decisions, as it may be the first to offer evidence of the positive impact of bird diversity on human mental well-being while minimizing issues such as omitted variable bias.</p>
Sports activity limitation during the COVID-19 pandemic in young Italian athletes: impact on mental health in children, adolescents, and young adults
<p>Dataset for the following study available: Sports activity limitation during the COVID-19 pandemic in young Italian athletes: impact on mental health in children, adolescents, and young adults</p>
Data from: Nuts4Brain Project: The relationship between nut consumption and mental health outcomes throughout adulthood
<p>Database collected from first-year university students at the University of Castilla-La Mancha, Spain, in the years 2017-2018.</p>
Young People's Use of Digital Tools to Support Their Mental Health During Covid-19 Restrictions
<p>Young adulthood represents a sensitive period for young people's mental health. The lockdown restrictions associated with the COVID-19 pandemic have reduced young people's access to traditional sources of mental health support. This exploratory study aimed to investigate the online resources young people were using to support their mental health during the first lockdown period in Ireland. It made use of an anonymous online survey targeted at young people aged 18–25. Participants were recruited using ads on social media including Facebook, Twitter, Instagram, and SnapChat. A total of 393 respondents completed the survey. Many of the respondents indicated that they were using social media (51.4%, 202/393) and mental health apps (32.6%, 128/393) as sources of support. Fewer were making use of formal online resources such as charities (26%, 102/393) or professional counseling services (13.2%, 52/393). Different social media platforms were used for different purposes; Facebook was used for support groups whilst Instagram was used to engage with influencers who focused on mental health issues. Google search, recommendations from peers and prior knowledge of services played a role in how resources were located. Findings from this survey indicate that digital technologies and online resources have an important role to play in supporting young people's mental health. The COVID-19 pandemic has highlighted these digital tool's potential as well as how they can be improved to better meet young people's needs</p>
The COVID-related mental health load of neonatal healthcare professionals: a multicenter study in Italy
<p>This database includes the raw data linked with the paper “The COVID-related mental health load of neonatal healthcare professionals: a multicenter study in Italy”. This study is part of the Staff and Parental Adjustment to COVID-19 Epidemics – Neonatal Experience in Tuscany” (SPACE-NET) multicenter project. In this paper, we report data on the mental health load experienced by physicians, nurses and other healthcare professionals who work in neonatal wards (NWs) and neonatal intensive care units (NICUs).</p> <p><strong>Procedures</strong></p> <p>All healthcare personnel of seven level-3 and six level-2 neonatal units in Tuscany (Italy) were invited to complete an online survey. We measured the level of physical exposure to COVID-19 risk, self-reported pandemic-related stress, and mental health load outcomes (i.e., anxiety, depression, burnout, psychosomatic, and post-traumatic symptoms) using validated, self-administered questionnaires. </p> <p><strong>Analytical plan</strong></p> <p>For variables depression, anxiety, burnout, post-traumatic symptoms a dichotomous variable [above the clinical cutoff/below the cutoff] was computed, and binomial regressions were used to estimate the probability of scoring above cutoff, including the following predictors in the model: setting, job, job experience, and <em>pandemic-related stress index</em>. As all mental health domains were correlated, in order to reduce the number of statistical comparisons and obtain an overall index, we used a principal component analysis (PCA) to calculate a global <em>mental health load index </em>(<em>MHLI</em>).</p> <p><strong>Findings in brief</strong></p> <p>Scores above the clinical cutoff were reported by 91% of participants for symptoms of anxiety, 29% for post-traumatic symptoms, 13% for burnout, and 3% for symptoms of depression. Pandemic-related stress was significantly associated with all the measured mental health load outcomes, with a Risk Ratio of 3.33 for clinically relevant anxiety, 2.39 for post-traumatic symptoms, 1.79 for emotional exhaustion, and 2.51 for depression.</p> <p> </p>
The Effectiveness of Salutogenic and Positive Psychology Module on Private University Students' Mental Health
Open the record for dataset details and reuse information.
Male Mental Health and Help-Seeking
<p>Male mental health, help-seeking, barrier to help-seeking</p>
A three-week in-hospital multidisciplinary body weight reduction program exerts beneficial effects on physical and mental health and fatiguability of elderly patients with obesity
<p>Introduction: Obesity represents one of the most serious problems of public<br> health affecting elderly populations in an increasingly relevant way. The<br> aim of the current study was to assess the effects of a 3-week in-hospital<br> multidisciplinary body weight reduction program (BWRP) in a sample of elderly<br> patients with obesity on reducing body mass index (BMI), improving fatigue,<br> muscle performance, and psychological well-being.<br> Methods: Two hundred and thirty-seven consecutive elderly in-patients with<br> obesity (males = 84; females = 153; age range = 65–86 yrs.; mean BMI =<br> 43.7) undergoing a three-week multidisciplinary BWRP participated in the<br> study. Data on BMI, fatiguability (measured with the Fatigue Severity Scale,<br> FSS), muscle performance (evaluated with the Stair Climbing Test, SCT), and<br> psychological well-being (assessed with the Psychological General Well-<br> Being Index, PGWBI) were collected before and after the intervention.<br> Results: Results showed that BWRP was capable to reduce BMI [F(1.00,<br> 235.00) = 1226.8; p < 0.001; ƞ2 = 0.024], improve perceived fatigue [F(1,234) =<br> 296.80125; p < 0.001; ƞ2 = 0.129], physical performance [F(1.00,158.00) =<br> 119.26; p < 0.001; ƞ2 = 0.026], and enhance psychological well-being<br> [F(1,235) = 169.0; p < 0.001; ƞ2 = 0.103] in both males and females.<br> Discussion: Although it will be necessary to demonstrate with further<br> longitudinal studies whether the reported beneficial effects will be maintained<br> over time, the effectiveness of a 3-week BWRP on different aspects involved<br> in determining a level of autonomy and good quality of life of elderly obese<br> patients appears to represent a valid attempt to counteract – at least in part –<br> the unavoidable and progressive disability of these patients.</p>
Stability of maternal postnatal bonding between 3 and 6 months: associations with maternal mental health and infant temperament
<p>This database includes the raw data linked with the paper “Stability of maternal postnatal bonding between 3 and 6 months: Associations with maternal mental health and infant temperament”, published on Infant Behavior and Development Journal, doi: 10.1016/j.infbeh.2023.101826. This publication is part of the longitudinal project “Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)” research project. In this paper we report on longitudinal data on the link between maternal mental health, infant temperament, and maternal postnatal bonding between 3-6 months of the infant life.</p> <p><strong>Procedures:</strong> When the infants were 3 and 6 months old, the mothers filled in the Beck Depression Inventory (BDI-II: Beck et al., 1996); the state anxiety scale of the State-Trait Anxiety Inventory (STAI-Y: Spielberger, 1983), the Infant Behavior Questionnaire - Revised short-form (IBQ-R: Gartstein & Rothbart, 2003) and the Maternal Postnatal Attachment Scale (MPAS: Condon & Corkindale, 1998).</p> <p><strong>Analytical plan:</strong> For the 3-month and 6-month measures linear regressions were fitted to assess the effect of concurrent maternal mental health and infant temperament dimensions (surgency, negativity and regulation) on maternal postnatal bonding. 3-to-6 months changes in bonding were assessed via repeated measures ANOVA. At the individual level, 3 groups were created: mothers that reported decreasing, increasing and stable bonding. ANOVA was used to test for differences in 3-to-6 months changes in maternal mental health and infant temperament between these groups.</p> <p><strong>Findings in brief:</strong> At 3 months, higher levels of maternal bonding were predicted by lower levels of anxiety and depression in the mothers and by higher infants' regulation scores. At 6 months, lower levels of anxiety and depression predicted higher levels of bonding. No statistically significant differences emerged between 3- and 6-month bonding scores in the whole sample. However, mothers showing higher than 1 SD from sample mean decreases in bonding showed higher 3-to-6-month increases in depression and anxiety compared to the stable group, as well as increased difficulties in regulation dimensions of the infant's temperament compared to the other groups</p>
Economic Burden of Mental Health Disorders in PCOS-Supplemental Data
<p>This data set includes supplemental data denoting the search terms used for the systematic review, the characteristics of the studies included, the quality scores of the studies analyzed, the results of the sensitivity analysis excklduing self-reported PCOS and the results of the Eggers' test for publication bias. It also includes the Trim and Fill Funnel Plots for the meta-analyses.</p> <p> </p> <p>Use MS Word to read.</p>
Toward Emotionally Adaptive Virtual Reality for Mental Health Applications
<p>Dataset of self-report data of the research "Toward Emotionally Adaptive Virtual Reality for Mental Health Applications"</p>
Can personalized medicine mitigate confirmation bias in mental health?
<p>Can personalized medicine mitigate confirmation bias in<br> mental health? </p> <p> </p>
Mental Health in Patients With Adrenal Incidentalomas: Is There a Relation With Different Degrees of Cortisol Secretion?
<p>Dataset for the paper Mental Health in Patients With Adrenal Incidentalomas: Is There a Relation With Different Degrees of Cortisol Secretion? </p>
Predicting Burnout in Australian Mental Health Professionals
<p>Data set associated with the study: 'Predicting Burnout in Australian Mental Health Professionals: Uncertainty tolerance, impostorism and psychological inflexibility'.</p> <p><br> Access by request</p>
Synthesizing Stakeholders Perspectives on Online Psychological Interventions to Improve the Mental Health of the Italian Population during the COVID-19 Pandemic: An Online Survey Study
<p>The COVID-19 pandemic is expected to significantly increase the prevalence of mental health problems, thus raising the need for psychological support interventions around the world. Online psychological interventions have already been shown to be an effective solution to promote psychological treatments. Nevertheless, planning and developing an online intervention, involving possible stakeholders, might facilitate the dissemination of, willingness to use, and success of the future intervention. This study aims to explore and compare the experiences that Italians living in Italy and abroad had with available support services during the COVID-19 pandemic, their needs, and attitudes, as well as possible barriers to online psychological interventions. A sample of<br> 1024 Italians (F = 69.8%; mean age = 41.3; SD = 15.3) was recruited through social media platforms and personal contacts and they were asked to complete an online survey. Results showed that perceived psychological distress during the COVID-19 pandemic improved. In Europe, psychological support was delivered mainly in person (69.0%), while online interventions were primarily used in<br> extra-European countries (57%). Then, only 44% of the total sample was interested in trying an online psychological intervention. Various advantages and disadvantages were defined by stakeholders: The main advantages were the reduction in geographical distances, economic reasons, and the reduction in the waiting list; The main disadvantages were problems with technology, low motivation of users, and privacy/safety reasons. These data made it possible to improve the knowledge regarding the views and attitudes that Italians have about online psychological interventions and shed light on how to increase the uptake of digital health.</p>
iPBS, IU and Mental Health
<p>iPB, IU and Mental Health upon returning to sport during COVID-19</p>
Gender-Affirming Care and Mental Health
ClinicalTrials.gov study NCT07171645. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.