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429
datasets available to search
ShareScore release 0.9.0
Dataset results
429 results for “Health Behavior”
A Multiple Health Behavior Change (MHBC) Intervention for Weight Loss and Smoking Cessation for Pre-Bariatric Surgery Patients
ClinicalTrials.gov study NCT07398404. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Categorizing and assessing comprehensive drivers of provider behavior for optimizing quality of health care
<p>Inadequate quality of care in healthcare facilities is one of the primary causes of patient mortality in low- and middle-income countries, and understanding the behavior of healthcare providers is key to addressing it. Much of the existing research concentrates on improving resource-focused issues, such as staffing or training, but these interventions do not fully close the gaps in quality of care. By contrast, there is a lack of knowledge regarding the full contextual and internal drivers–such as social norms, beliefs, and emotions–that influence the clinical behaviors of healthcare providers. We aimed to provide two conceptual frameworks to identify such drivers, and investigate them in a facility setting where inadequate quality of care is pronounced. Using immersion interviews and a novel decision-making game incorporating concepts from behavioral science, we systematically and qualitatively identified an extensive set of contextual and internal behavioral drivers in staff nurses working in reproductive, maternal, newborn, and child health (RMNCH) in government public health facilities in Uttar Pradesh, India. We found that the nurses operate in an environment of stress, blame, and lack of control, which appears to influence their perception of their role as often significantly different from the RMNCH program's perspective. That context influences their perceptions of risk for themselves and for their patients, as well as self-efficacy beliefs, which could lead to avoidance of responsibility, or incorrect care. A limitation of the study is its use of only qualitative methods, which provide depth, rather than prevalence estimates of findings. This exploratory study identified previously under-researched contextual and internal drivers influencing the care-related behavior of staff nurses in public facilities in Uttar Pradesh. We recommend four types of interventions to close the gap between actual and target behaviors: structural improvements, systemic changes, community-level shifts, and interventions within healthcare facilities.</p>
Application of health belief model for the assessment of COVID-19 preventive behavior and its determinants among students: A structural equation modeling analysis
<p><strong>Background:</strong> COVID-19 is a new pandemic that poses a threat to people globally. In Ethiopia, where classrooms are limited, students are at higher risk for COVID-19 unless they take consistent preventative actions. However, there is a lack of evidence in the study area regarding student compliance with COVID-19 preventive behavior (CPB) and its predictors.</p> <p><strong>Objective:</strong> This study aimed to assess CPB and its predictors among students based on the perspective of the Health Belief Model (HBM).</p> <p><strong>Method and materials:</strong> A school-based cross-sectional survey was conducted from November to December 2020 to evaluate the determinants of CPB among high school students using a self-administered structured questionnaire. 370 participants were selected using stratified simple random sampling. Descriptive statistics were used to summarize data, and partial least squares structural equation modeling (PLS-SEM) analyses to evaluate the measurement and structural models proposed by the HBM and to identify associations between HBM variables. A T-value of > 1.96 with 95% CI and a P-value of < 0.05 were used to declare the statistical significance of path coefficients.</p> <p><strong> Result:</strong> A total of 370 students participated with a response rate of 92%. The median (interquartile range) age of the participants (51.9% females) was 18 (2) years. Only 97 (26.2%), 121 (32.7%), and 108 (29.2%) of the students had good practice in keeping physical distance, frequent hand washing, and facemask use respectively. The HBM explained 43% of the variance in CPB. Perceived barrier (β= - 0.15, p < 0.001) and self-efficacy (β= 0.51, p <0.001) were significant predictors of student compliance to CPB. Moreover, the measurement model demonstrated that the instrument had acceptable reliability and validity.</p> <p><strong>Conclusion and recommendations:</strong> COVID-19 prevention practice is quite low among students. HBM demonstrated adequate predictive utility in predicting CPBs among students, where perceived barriers and self-efficacy emerged as significant predictors of CPBs. According to the findings of this study, theory-based behavioral change interventions are urgently required for students to improve their prevention practice. Furthermore, these interventions will be effective if they are designed to remove barriers to CPBs and improve students' self-efficacy in taking preventive measures.</p>
Dataset of Association of depression and anxiety symptoms, and personal factors related to health behavior with tobacco abuse: A secondary data analysis.
Open the record for dataset details and reuse information.
An Evaluation of Virtual Psychiatric Transition of Care Offered in Behavioral Health
ClinicalTrials.gov study NCT05460078. IPD Sharing: NO. Countries: 1. Publications: 0.
Omaha System-Based Health Application on Improving Knowledge, Attitude, and Behaviors Regarding Infectious Disease Prevention in the Community
ClinicalTrials.gov study NCT07048301. IPD Sharing: NO. Countries: 0. Publications: 1.
The Effectiveness of an E-Intervention on Health Behavior Promotion in Chinese University Students
ClinicalTrials.gov study NCT03627949. IPD Sharing: NO. Countries: 0. Publications: 3.
Meet Me on the Pitch: Developing and Testing a Community-Based Sports and Behavioral Health Intervention for Youth
ClinicalTrials.gov study NCT07339228. IPD Sharing: YES. Countries: 1. Publications: 0.
Behavioral Medicine Intervention With Depressed Patients in a Community Health Center Setting
ClinicalTrials.gov study NCT01330420. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Web-based Collection of Data on Obesity and Health Behavior
ClinicalTrials.gov study NCT02099812. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Understanding Mechanisms of Health Behavior
ClinicalTrials.gov study NCT02594319. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Preventing Behavior and Health Problems in Foster Teens
ClinicalTrials.gov study NCT01549561. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effectiveness of Parent-based Electronic Health (eHealth) Intervention on Preschoolers' Physical Activity, Dietary Behaviors, and Sleep Problems
ClinicalTrials.gov study NCT06025019. IPD Sharing: NO. Countries: 0. Publications: 3.
A Virtual Navigation Intervention to Reduce Behavioral Health Admissions From Rural Emergency Departments
ClinicalTrials.gov study NCT04148521. IPD Sharing: NO. Countries: 1. Publications: 0.
Examining Cooking as a Health Behavior
ClinicalTrials.gov study NCT03783962. IPD Sharing: NO. Countries: 1. Publications: 0.
Cooking as a Health Behavior in College Students
ClinicalTrials.gov study NCT04084028. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Overdose Prevention Centers and Behavioral Health
ClinicalTrials.gov study NCT06236087. IPD Sharing: YES. Countries: 1. Publications: 0.
Behavioral Health Collaborative Care Model in Post-ICU Clinic Family Pilot
ClinicalTrials.gov study NCT07390786. IPD Sharing: NO. Countries: 1. Publications: 0.
Developing a Positive Psychology Intervention to Promote Health Behaviors in Metabolic Syndrome: Proof-of Concept Trial
ClinicalTrials.gov study NCT03473886. IPD Sharing: NO. Countries: 1. Publications: 0.
Behavioral Coaching Intervention (Laguna Health) for Patients With Cancer
ClinicalTrials.gov study NCT06004141. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.