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1,558 results for “Mental Health”

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dryad40/100

Positive mental health among sports coaches: A six-month longitudinal study

Open the record for dataset details and reuse information.

publicOct 2023View details →

zenodo36/100

Epigenetic Profiling of Social Communication Trajectories and Co-occurring Mental Health Problems: A Prospective, Methylome-wide Association Study

While previous studies suggest that both genetic and environmental factors play an important role in the development of autism-related traits, little is known about potential biological mechanisms underlying these associations. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), we examined prospective associations between DNA methylation (DNAm: N-birth=804, N-age7=877) and trajectories of social communication deficits (8-17 years). Methylomic variation at three loci across the genome (false discovery rate=0.048) differentiated children following high (n=80) versus low (n=724) trajectories of social communication deficits. This differential DNAm was specific to the neonatal period and not observed at age 7. Associations between DNAm and trajectory membership remained robust after controlling for co-occurring mental health problems (i.e., hyperactivity/inattention, conduct problems). The three loci identified at birth were not replicated in the Generation R Study. However, to the best of our knowledge, ALSPAC is the only study to date that is prospective enough to examine DNAm in relation to longitudinal trajectories of social communication deficits from late childhood to late adolescence. Although the present findings might point to potentially novel sites that differentiate between a high versus low trajectory of social communication deficits, the results should be considered tentative until further replicated. This dataset contains summary statistics for the methylome-wide association study using DNAm data collected from individuals at birth. Upload of this dataset was completed by The EWAS Catalog team. The data can be queried along with hundreds of other EWAS at ewascatalog.org. To upload your EWAS summary statistics and have a zenodo DOI generated for you go to ewascatalog.org/upload

opencc-zeroSep 2020View details →

zenodo36/100

Mental Health-related subreddits data

We gathered all posts, comments and metadata created during 2017 from the four mental health related Reddit communities with the largest number of publications, namely Depression, SuicideWatch, Anxiety e Bipolar. Unprocessed data is publicly available at http://files.pushshift.io/reddit. After extracting the zipped file, there will be three files for each subreddit <subreddit>: <ul> <li><subreddit>_post2data.pkl: a python pickle file containing a dict indexed by post id, where the value corresponds to the data associated with the post (comments excluded)</li> <li><subreddit>_post2comments.pkl: a python pickle file containing a dict indexed by post id, where the value corresponds to the list of comments present in the thread associated with the post</li> <li><subreddit>_comment2data.pkl: a python pickle file containing a dict indexed by comment id, where the value corresponds to the data associated with the comment</li> </ul> If you use this dataset, please cite Silveira, Bárbara, Fabricio Murai, and Ana Paula Couto da Silva. "Predicting User Emotional Tone in Mental Disorder Online Communities." arXiv preprint arXiv:2005.07473 (2020).

opencc-by-4.0Nov 2020View details →

zenodo36/100

Mental health consequences of the Covid-19 outbreak in Spain

The objective is to analyze the effects of the pandemic and alarm situation on the psychological health, loneliness, intersectional discrimination and spiritual wellbeing of the general population in a longitudinal way in three moments: after two weeks of the beginning of the confinement (between March 21 and 29), after a month (between April 13 and 27), and after two months (between May 21 and June 4), with the beginning of the deconfinement and return to the new normality. The study received the approval of the Deontological Commission of the Faculty of Psychology of the Complutense University of Madrid (pr_2019_20_029) prior to its implementation. The signing of the informed consent and acceptance of the data protection laws was also included in the evaluation. The evaluations were carried out by means of an online survey, with a sample of 3480 persons in the first data collection and of 1041 and 569 persons in the successive moments of evaluation. The presence of depressive symptoms, anxiety and posttraumatic stress disease (PTSD) was evaluated by means of screening tests. Sociodemographic data, variables about Covid-19, loneliness, psychological well-being, social support, discrimination and a sense of belonging were collected. Participants Recruitment consisted of sending requests for participation to people belonging to databases of different institutions: students and workers in public organizations such as the Complutense University of Madrid and the academic Chair Against Stigma, and private organizations such as the company Group 5. These databases contain sufficient data to perform reasonable sampling of the Spanish population. To increase the sample size as much as possible participants were asked to help with its dissemination. The percentage of people recruited in this way was small, estimated as less than 5%. The inclusion criteria were: 1. To be over 18 years old; 2. To be living in Spain during the Covid-19 health emergency; 3. To have agreed to participate in the second evaluation of the study. A total of 3480 people participated in the first evaluation. For the subsequent evaluations, those people who had previously agreed to participate in the study were contacted by email in a longitudinal way (specific section of the evaluation), recruiting a total of N = 1041 in the second data collection, and in the third evaluation N = 569. In the resulting sample, a majority of women (81%) was obtained as opposed to 51% of the general population. With respect to age, a greater equivalence was obtained, although with a higher percentage of people under 60 years than in the general population: 29% (18-30), 64% (31-59) and 7% (60-80) for the three respective groups, compared to 10%, 44% and 19% for the general population (the remaining 5% do not meet the criteria for inclusion/exclusion). Variables and instruments The following variables and instruments were included in the assessment: Sociodemographic variables Using ad hoc questions, data was collected on age (subsequently grouped into clusters: 18-30, 31-59, 60-80); gender identity; marital status (single, married, divorced, separated, widower); educational level (elementary studies, high school, vocational training, university, postgraduate); economic situation (subjective perception from very bad to very good). COVID-19 related variables Suffering from symptoms (yes, no); existence of a family members or close relatives who are infected (yes, no); perception of the information received on the alarm situation (considering that they have sufficient information, or that they are over-informed).  Mental health Mental health was assessed with the PHQ-4 composed by the Patient Health Questionnaire 2 (PHQ-2) (Kroenke, Spitzer, Williams, & Löwe, 2009) and the Generalized Anxiety Disorder Scale (GAD-2) (Spitzer, Kroenke, Williams, & Löwe, 2006). The PHQ-2 was used in its Spanish version (Diez-Quevedo, Rangil, Sanchez-Planell, Kroenke, & Spitzer, 2001) and is a brief self-report questionnaire that addresses the frequency of depressive symptoms. It consists of 2 Likert-type questions ranging from 0 “never” to 3 “every day”. Higher scores indicate greater symptomatology, providing a severity score that ranges from 0 to 6. GAD-2 was also used in its Spanish version (Garcia-Campayo et al., 2014). The GAD-2 Questionnaire includes the first 2 items of the GAD-7 Likert format, with a maximum score of 6 points. Loneliness Measured by the 3 item version of the UCLA Loneliness Scale (UCLA-3) in its Spanish version and self-applied (Russell 1996; Velarde-Mayol et al. 2016). The three items in Likert format with three response options (1 rarely, 2 sometimes, 3 often), address three dimensions of loneliness: relational connection, social connection, and self-perceived isolation. Intersectional discrimination Intersectional discrimination was evaluated by means of the Intersectional Day-to-Day Discrimination Index (InDI-D) (Scheim & Bauer, 2019), in its Spanish version, which was translated by the authors of this study. This scale provides a measure of the intersectional discrimination that can be produced by different conditions: gender, ethnicity, mental health diagnosis, and in this case, the presence of COVID-19 was also included. We used the main scale formed by 9 Likert-type items (e.g. “Since the sanitary emergency caused by COVID-19 in Spain, have you been treated as if you were someone hostile, unhelpful or rude?”) with four response options (1 “never” – 4 “many times”). The different questions evaluated the presence of intersectional discrimination from the beginning of the alarm situation generated by the coronavirus. The higher the score the more discrimination suffered. Internalized stigma Internalized stigma was evaluated with two items adapted from the Internalized Stigma of Mental Illness (ISMI) scale (Boyd Ritsher, Otilingam & Grajales, 2003). The items (“Since the emergency situation generated by the coronavirus, have you avoided contacting people –in those cases permitted during lockdown– to avoid rejection?”; “Since the emergency situation generated by the coronavirus, have you felt that the people who are not in your situation are unable to understand you?”) were modified to evaluate intersectional internalized stigma, the self-stigma that can be generated by diverse conditions. These items refer to the alienation and social withdrawal dimensions taken from the original scale. It was evaluated with the same Likert-type scale as the one used to measure the intersectional perceived discrimination. Social support Social support was evaluated by means of the Multidimensional Scale of Perceived Social Support (EMAS) (Zimet, Dahlem, Zimet, & Farley, 1988), adapted to a Spanish version (Landeta & Calvete, 2002). The scale, made up of 12 Likert-type items with 7 possible responses (1 “totally disagree” to 7 “totally agree”), evaluates the levels of perceived social support, identifying where the support comes from and how it is perceived. The EMAS explores three possible sources of perceived social support –family (4 items), friends (4 items) and relevant people (4 items)–, and offers a full measure of social support. Spiritual well-being Spiritual well-being was assessed using the Spanish version of the Functional Assessment of Chronic Illness Therapy Spiritual Well-Being (FACIT-Sp12) (Cella et al. 1998). This test evaluates physical, family, functional and spiritual well-being, focusing in this questionnaire only on spiritual well-being with two dimensions: meaning and peace. Four items were selected from the scale focusing on these aspects. The answers were Likert type from 0 (nothing) to 4 (a lot). Higher scores indicate greater well-being. Self-Compassion Scale (SCS) Was used in its Spanish version (Garcia-Campayo et al., 2014; Neff, 2003). The scale evaluates how the subject usually acts towards himself in difficult moments in different dimensions. Here we explore with 6 items the following three: self-love, common humanity and mindfulness. The items are Likert type (1 to 5). Higher scores indicate more self-pity. Sense of belonging The sense of belonging to different work/study groups, friends, family and neighborhood or community was evaluated through four Likert-type items (1 much - 4 nothing) (Hernán Montalbán & Rodríguez Moreno 2017).

opencc-by-4.0Nov 2020View details →

zenodo36/100

LOCKED: A dataset of sociodemographic, economic, living, and health features to measure the impact of the Spanish lockdown during COVID-19 on mental health conditions

A dataset aimed at enhancing the understanding of the mental health effects of the COVID-19 lockdown in Spain. This dataset serves as a valuable resource by integrating psychological assessments, such as the SA-45 pyschological test, with comprehensive socioeconomic, living, and health-related information. By combining these diverse data points, the dataset enables researchers to analyze how various invidual factors influenced nine mental health conditions during the lockdown, providing a robust foundation for further studies on this critical topic.

opencc-by-4.0Nov 2024View details →

dryad36/100

Black American women's attitudes toward seeking mental health services and use of mobile technology to support the management of anxiety

Objective: This study aimed to understand Black American women's attitudes toward seeking mental health services and using mobile technology to receive support for managing anxiety. Methods: A self-administered web-based questionnaire was launched in October 2019 and closed in January 2020. Women who identify as Black/African American were eligible to participate. The survey consisted of approximately 70 questions and covered topics such as attitudes toward seeking professional psychological help, acceptability of using a mobile phone to receive mental health care, and screening for anxiety. Results: The findings of the study (N=395) showed that younger Black women were more likely to have greater severity of anxiety than their older counterparts. Respondents were most comfortable with the use of a voice call or video call to communicate with a professional to receive support to manage anxiety in comparison to text messaging or mobile app. Younger age, higher income, and greater scores for psychological openness and help-seeking propensity increased the odds of indicating agreement with using mobile technology to communicate with a professional. Black women in the South region of the U.S. had twice the odds of agreeing to the use of mobile apps than women in the Midwest and Northeast regions. Discussion: Black American women, in general, have favorable views toward the use of mobile technology to receive support to manage anxiety. Conclusion: Preferences and cultural appropriateness of resources should be assessed on an individual basis to increase the likelihood of adoption of and engagement with digital mental health interventions for management of anxiety.

opencc-zeroOct 2023View details →

zenodo36/100

Universal Mental Health Training Pilot Trial in Ukraine

General information The UMHT is a specialised program developed to train frontline professionals on high-quality and evidence-based responses to the mental health needs of the population they serve. Police officers, emergency responders, social services workers, educators, pharmacists, priests, and other professionals daily interact with a substantial number of people. Whereas their professional roles imply working with people in crisis who experience strong emotions and require support, a high level of mental health awareness and skills to manage mental health issues are needed. Therefore, UMHT was developed as an educational instrument for Ukrainian frontline professionals to raise their mental health awareness, reduce stigma toward people with mental disorders and develop particular skills for giving support. The training is called Universal because its 5-step model offers a standard frame for interaction with people with mental health issues. Also, it is Universal because it is suitable for different types of frontline workers – the general interaction structure is not changing, only the set of relevant mental health conditions.  The Mental Health Training for Frontline Professionals (UMHT) was developed in 2021 and piloted in 2021-2023 within the context of the Mental Health for Ukraine Project (MH4U), implemented in Ukraine by GFA Consulting Group GmbH (donor - Swiss Confederation). The University of Luxembourg, with the support of the European Commission through the MSCA4Ukraine fellowship scheme by the Alexander von Humboldt Foundation (AvH) for premier investigator Viktoriia Gorbunova, is leading a full-scale efficacy study of the UMHT in 2023-2025.  Data and file overview Three efficacy measurements were used in the outcome assessment: readiness to interact with people with mental health issues at work, mental health awareness, and mental health proficiency. Readiness to interact with people with mental health issues at work To measure the changes in readiness to interact with people with mental health issues at work (according to the 5-step model), all participants self-assessed their general readiness as well as readiness to do particular actions according to the 5-step model on a five-point scale (from 5 - "absolutely ready" to 1 - "absolutely not ready").  In the instruction, participants were asked: "Reading the next statements, please assess your readiness for a different kind of interaction with people with mental health conditions. The scale is from 1 to 5, where 1 is the absolute absence of readiness, and 5 – is the absolute readiness".  The next set of statements was proposed to participants: <ul> <li>Readiness to interact with people with mental health issues at work (general readiness).</li> <li>Readiness to recognise mental health conditions (readiness for step 1 of the 5-step model).</li> <li>Readiness to initiate and lead conversation with a person with mental health issues and his/her caregivers (readiness for step 2).</li> <li>Readiness to support a person with mental health issues and his/her caregivers (readiness for step 3).</li> <li>Readiness to refer a person with mental health issues, and his/her caregivers, to professional support (readiness for step 4).</li> <li>Readiness to ensure that professional help is received by a person with mental health issues and his/her caregivers (readiness for step 5).</li> </ul> Mental health awareness Mental health awareness assessment was based on the KAP (knowledge, attitudes, and practices) model (Andrade et al., 2020). There is the experience of using such KAP-based surveys in Ukraine (Quirke et al., 2021). Based on the KAP model, a short survey was developed related to the knowledge about mental health issues, attitudes toward people with mental health disorders, and practice of interaction with them.  Knowledge regarding people with mental disorders was assessed with the query: "Choose the statements that apply to people with mental health disorders" (max = 8 scores, where each score was awarded either for a choice of a correct statement or for a non-selection of a wrong statement): <ul> <li>They are dangerous to the people around them.</li> <li>They are themselves guilty of their condition.</li> <li>They are incapable of true friendships.</li> <li>They can work.</li> <li>By appearance, it is clear that the person is not all right.</li> <li>Anyone can have a mental disorder.</li> <li>Mental disorders are incurable.</li> <li>Most people with mental disorders can recover.</li> </ul> Attitude towards people with mental issues was assessed with the question: "What is the best way of behaviour for people with mental health issues?" (max = 8 scores): <ul> <li>Do not tell anyone about their condition. </li> <li>Discuss everything with a doctor, but do not inform relatives.</li> <li>Hide this information at work/school.</li> <li>Tell loved ones and ask for help from specialists.</li> <li>Hide it from the family.</li> <li>Live among those like themselves.</li> <li>Should not marry and have children.</li> </ul> The question for assessment practices of interactions with people with mental disorders: "What is the proper way of interactions with people with mental health disorders?" (max = 9 scores): <ul> <li>You would better avoid any contact with them.</li> <li>You shouldn't allow them to make any decisions.</li> <li>You would better avoid working with them in one team or performing tasks together.</li> <li>You should be careful about conversations with them.</li> <li>You should be ashamed and try to hide the fact you have a relative with a mental health disorder.</li> <li>They should have the same rights as anyone else.</li> <li>It is normal to have a friend with a mental health disorder.</li> <li>It is normal to marry a person with a mental health disorder.</li> <li>You should treat them with care and sympathy.</li> </ul> Practices of care about people with mental health issues were analysed with the question: "What is the best way to care about people with mental health issues?" (max = 6 scores): <ul> <li>In a psychiatric hospital where they are under supervision and control (psychiatrist).</li> <li>Outside the hospital in specialised centres or privately (psychologist, psychotherapist).</li> <li>Alternative methods of treatment (traditional medicine, homoeopathy, vitamins, massage).</li> <li>Normal family relationships is the best treatment.</li> <li>Do not waste energy, it is not possible to cure mental disorders.</li> <li>At the primary level of health care (family doctor, paediatrician, general practitioner).</li> </ul> Mental health awareness scores were collected as the sum of scores for each scale. Mental health proficiency Mental health proficiency, as the ability to recognise mental health disorders' symptoms, was assessed by the tests that include correct and non-correct symptoms. Three true and two false symptoms (based on DSM-5) were offered for selection in each case. Mental health proficiency was estimated as the sum of the correct choices of symptoms for every disorder learned by participants. For instance, the participants who worked during the training with depressive disorders should choose all appropriate parameters among depressed mood, markedly diminished interest or pleasure in almost all activities, excessive or inappropriate feelings of worthlessness or guilt, inattention as, difficulties following instructions and failure to finish tasks, restlessness as fidgeting with or tapping hands or feet or squirming in the seat. Additional one-month follow-up questions Additional questions for the one-month follow-up test were: "Did you work after the training with people with mental health issues that you studied?", "What kind of the issues?", "Did you use training knowledge and skills?", "Which knowledge and skills did you use in particular?"  Sharing and accessing information Information (raw anonymized data) is openly available through Zenodo. It is possible to use the information with research aims to evaluate UMHT or compare data with other similar programs. Our research team kindly asks to notify the contact person (Viktoriia Gorbunova) about any usage of the dataset.   Methodological information The study was quasi-experimental (no complete randomization was possible at this piloting stage). Two groups were involved: the experimental group (received UMHT) and the control group (no training, waiting list). The pilot trial of UMHTs' efficacy was conducted with 307 frontline professionals divided into 24 training groups (social workers (12 groups, 128 persons), educators (4, 63), police officers (4, 60), priests and clerics (1, 15), military volunteers (1, 12), workers of occupation centres (1, 13), emergency workers (1, 16)). All participants were recruited for training by their team leaders, who were informed about training possibilities by letters sent from the training developers. The only requirement for participation was working in the field with people.  The control group included 211 persons with the same occupation background who participated in training later (waiting list). The control group consisted of social workers (97 persons), educators (32), police officers (40), priests and clerics (12), military volunteers (13), workers of occupation centres (7), and emergency workers (10). Data-specific information Excel file (UMHT_dataset_pilot_trial.xlsx) containing four pages.  1. Page "Training groups_before UMHT". Contains the answers to questionaries completed by UMHT training participants before the training.  2. Page "Training groups_after UMHT". Contains the answers to questionaries completed by UMHT training participants immediately after the training.  3. Page "Training groups_after one month". Contains the answers to questionaries completed by UMHT training participants the month before the training.  4. Page "Control group_before-after". Contains the answers to questionaries completed by UMHT control group participants (waiting list) before and after the training.

opencc-zeroDec 2023View details →

zenodo36/100

The Mental Health Crisis in Kashmir: An Epidemic Within A Pandemic

It’s not a hidden fact that the Indian government wants sole claim over the State or now known as the Union Territory of Jammu and Kashmir. Kashmir is no stranger to lockdowns, curfews and military crackdowns when rules are not followed, and has always been the primary talking point whenever someone wants to defend the Indian Armies might or every time Pakistan threatens to free Kashmir from India’s stronghold. It is interesting to note that for a state that everyone wants a piece of nobody in reality pays much heed to what the inhabitants of the state want. The narrative here is not just political but it is important to understand that no conversation about Kashmir can ever be apolitical. Everything that happens or has happened in the UT of Kashmir since India's independence in 1947 till the Abrogation of Article 370 in 2019, is always going to be political. While the rest of the world is updating their Covid-19 positive caseloads every day, not much is known about the number of positive cases, recovered cases, and deaths taking place in the UT of Kashmir. The 30 year long insurgency in Kashmir has resulted in several generations experiencing state induced violence as well as collective community violence. The official numbers state that about 40,000 people have died since India gained independence from the British in 1947. When young children see their primary and secondary caregivers die in front of their eyes or not see them return home one fine day, a lot of questions arise. Some simple questions and some complex ones, the answers of which are not enough to soothe their aching soul for the loved ones they have lost.

opencc-by-4.0May 2021View details →

zenodo36/100

Emerging trends on workplace ethics and mental health: A bibliometric analysis using CiteSpace

The Dataset is utilized to do a bibliometric analysis in combining Workplace Ethics and Mental Health during the period of 1989 to 2023.

opencc-by-4.0Mar 2024View details →

zenodo36/100

Toxic Sentence Classification Dataset with labels of categories such as religion, mental health, race, sex, body image, disability, physical abuse, and politics

The dataset has a collection of various toxic sentences belonging to different categories. It was collected from various sources. It indicates which category each sentence belongs to. The values of the category columns are binary 1 or 0 indicating whether the sentence belongs to that particular category or not. Each sentence belongs to only 1 category.    Columns: 1.comment_text: Contains toxic sentences that are insensitive and offensive, focusing on various categories. 2.mental_health: Binary value 1 indicates that the sentence focuses on mental health. 3.Race:Binary value 1 indicates that the sentence is racist. 4.sex:Binary value 1 indicates that the sentence focuses on sexuality. 5.body_image:Binary value 1 indicates that the sentence focuses on body image. 6.disability:Binary value 1 indicates that the sentence focuses on physical disability and related issues. 7.religion:Binary value 1 indicates that the sentence can be triggering to people who are extremely religious. 8.physical_abuse:Binary value 1 indicates that the sentence focuses on physical abuse issues. 9.politics:Binary value 1 indicates that the sentence focuses on political issues.

opencc-by-4.0Nov 2024View details →

zenodo36/100

The Influence of cultural and psychological factors on mental health status during COVID-19 in Saudi Arabia

The data supporting the findings of the article is available here to be published in the open psychology journal.   the data set is excel file generated from google form

opencc-by-4.0Nov 2021View details →

zenodo36/100

Heart rate variability: Can it serve as a marker of mental health resilience?

Heart rate variability: Can it serve as a marker of mental health resilience? Background: Stress resilience influences mental well-being and vulnerability to psychiatric disorders. Usually, measurement of resilience is based on subjective reports, susceptible to biases. It justifies the need for objective biological/physiological biomarkers of resilience. One promising candidate as biomarker of mental health resilience (MHR) is heart rate variability (HRV). The evidence for its use was reviewed in this study. Methods: We focused on the relationship between HRV (as measured through decomposition of RR intervals from electrocardiogram) and responses to laboratory stressors in individuals without medical and psychiatric diseases. We conducted a bibliographic search of publications in the PubMed for January 2010–September 2018. Results: Eight studies were included. High vagally mediated HRV before and/or during stressful laboratory tasks was associated with enhanced cognitive resilience to competitive/self-control challenges, appropriate emotional regulation during emotional tasks, and better modulation of cortisol, cardiovascular and inflammatory responses during psychosocial/mental tasks. Limitations: All studies were cross-sectional, restricting conclusions that can be made. Most studies included only young participants, with some samples of only males or females, and a limited array of HRV indexes. Ecological validity of stressful laboratory tasks remains unclear. Conclusions: Vagally mediated HRV may serve as a global index of an individual's flexibility and adaptability to stressors. This supports the idea of HRV as a plausible, noninvasive, and easily applicable biomarker of MHR. In future longitudinal studies, the implementation of wearable health devices, able to record HRV in naturalistic contexts of real-life, may be a valuable strategy to gain more reliable insight into this topic.

opencc-by-4.0Jan 2022View details →

zenodo36/100

Mental health and alcohol use among patients attending a post-COVID-19 follow-up clinic: A cohort study.

Study dataset Abstract Background: Ongoing mental health problems following COVID-19 infection warrant greater examination. This study aimed to investigate psychiatric symptoms and problematic alcohol use among Long COVID patients. Methods: The study was conducted at the Mater Misericordiae University Hospital’s post-COVID-19 follow-up clinic in Dublin, Ireland. A prospective cohort study design was used encompassing assessment of patients’ outcomes at 2-4 months following an initial clinic visit (Time 1), and 7–14-month follow-up (Time 2). Outcomes regarding participants’ demographics, acute COVID-19 healthcare use, mental health, and alcohol use were examined. Results: The baseline sample’s (n = 153) median age = 43.5yrs (females = 105 (68.6%)). Sixty-seven of 153 patients (43.8%) were admitted to hospital with COVID-19, 9/67 (13.4%) were admitted to ICU, and 17/67 (25.4%) were readmitted to hospital following an initial COVID-19 stay. Sixteen of 67 (23.9%) visited a GP within seven days of hospital discharge, and 26/67 (38.8%) did so within 30 days. Seventeen of 153 participants (11.1%) had a pre-existing affective disorder. The prevalence of clinical range depression, anxiety, and PTSD scores at Time 1 and Time 2 (n = 93) ranged from 12.9% (Time 1 anxiety) to 22.6% (Time 1 PTSD). No statistically significant differences were observed between Time 1 and Time 2 depression, anxiety, and PTSD scores. Problematic alcohol use was common at Time 1 (45.5%) and significantly more so at Time 2 (71.8%). Clinical range depression, anxiety, and PTSD scores were significantly more frequent among acute COVID-19 hospital admission and GP attendance (30 days) participants, as well as among participants with lengthy ICU stays, and those with a previous affective disorder diagnosis. Conclusions: Ongoing psychiatric symptoms and problematic alcohol use in Long COVID populations are a concern and these issues may be more common among individuals with severe acute COVID-19 infection and /or pre-existing mental illness.

opencc-by-4.0Feb 2022View details →

zenodo36/100

Adolescents' mental health and maladaptive behaviors before the Covid-19 pandemic and one-year after: analysis of trajectories over time and associated factors

The database reports data about psychopathological indexes in a sample of adolescent students (N=153) assessed before Covid-19 pandemic (T0, November 2019-January 2020) and one year after (T1, April-May 2021).

opencc-by-4.0Dec 2021View details →

dryad36/100

Data from: Mental health ecosystem of Gipuzkoa (2015) for Bayesian network modelling

This dataset include data from Mental Health network of Gipuzkoa (Spain). It is included information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript: "Almeda, N., Garcia-Alonso, C. R., Gutierrez-Colosia, M. R., Salinas-Perez, J. A., Iruin-Sanz, A., & Salvador-Carulla, L. (2022). Modelling the balance of care: Impact of an evidence-informed policy on a mental health ecosystem. PLoS ONE, 17(1 January), 1–16. https://doi.org/10.1371/journal.pone.0261621". This manuscript has been published in Plos One journal. This research focused on developing a formal causal model based on Bayesian network prototypes which were designed by formalizing expert knowledge (by using Expertbased Cooperative Analysis) and resulting in Direct Acyclic Graphs. The best Bayesian networks and their corresponding regression models were used to estimate the statistical ranges or confidence intervals for the dependent variable (potential effect, consequence, or output) given the independent variable values. These ranges, adjusted to delimited statistical distributions (triangular, trapezoidal and gamma), were managed by a Monte Carlo simulation engine for intervention assessment. A computer-based Decision Support System (DSS) was used to assess the status of ecosystem performance: RTE, statistical stability and entropy. Main results of the analyses pointed out that by combining causal reasoning and statistical methods, decision makers can obtain a deep view of both pre-implementing and post-implementing situations. Knowing the causal levers, it is possible to act directly to the causes in order to potentially produce de appropriate results considering the uncertainty: to provide a more balanced and integrated MH care provision in the community. In this particular case, an improvement in the outpatient workforce increases both ecosystem performance (RTE) and stability and slightly decreases entropy.

opencc-zeroMar 2022View details →

dryad36/100

Quality of care and performance indicators of mental health supported accommodation services in England

This dataset includes data from Mental Health supporting accommodation services in England. It includes information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript published in Plos One: "Almeda, N., García-Alonso, C. R., Killaspy, H., Gutiérrez-Colosía, M. R., & Salvador-Carulla, L. (2022). The critical factor: The role of quality in the performance of supported accommodation services for complex mental illness in England. Plos One, 17(3), e0265319. https://doi.org/10.1371/journal.pone.0265319" The research associated with the present data focused on developing an analytical process for assessing the performance of the Mental health (MH) supporting accommodation services from 14 different regions of England considering the effect of the quality-of-care indicators in the performance. For doing so every service was classified in Residential Care (move on and non-move on oriented), Supported Housing or Floating Outreach. Then, information about the quality-of-care was collected from each domain of the instrument QuIRC-SA. Finally, a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence was used. The main results of the analyses pointed out that the incorporation of quality domains as variables (outputs) in DEA had a neutral-positive or positive global impact on the performance of MH-supported accommodation services.

opencc-zeroMar 2022View details →

zenodo36/100

Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho

Pseudonymized dataset for the accepted manuscript "Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho"

opencc-by-4.0Jun 2022View details →

dryad36/100

Data reported in development and cross-validation of a veterans mental health risk factor screen

Background. VA primary care patients are routinely screened for current symptoms of PTSD, depression, and alcohol disorders, but many who screen positive do not engage in care. In addition to stigma about mental disorders and a high value on autonomy, some veterans may not seek care because of uncertainty about whether they need treatment to recover. A screen for mental health risk could provide an alternative motivation for patients to engage in care. Results. Twelve items assessing dissociation, emotional lability, life stress, and moral injury correctly classified 86% of those who later had elevated PTSD and/or depression symptoms (sensitivity) and 75% of those whose later symptoms were not elevated (specificity). Performance was also very good for 110 veterans who identified as members of ethnic/racial minorities. Conclusions. Mental health status was prospectively predicted in VA primary care patients with high accuracy using a screen that is brief, easy to administer, score, and interpret, and fits well into VA's integrated primary care. When care is readily accessible, appealing to veterans, and not perceived as stigmatizing, information about mental health risk may result in higher rates of engagement than information about current mental disorder status.

opencc-zeroOct 2022View details →

zenodo36/100

Dataset for 2020-2021 survey on COVID-19 and Mental health in Republic of Georgia

This is dataset of survey, implemented in Georgia to assess the burden of COVID-19 on mental health of the population and repeated respondents and comparing 2020 and 2021 prevalences.

opencc-by-4.0Oct 2022View details →

zenodo36/100

Do Large Language Models Have a Personality? A Psychometric Evaluation with Implications for Clinical Medicine and Mental Health AI Dataset

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record