Onidra: A Clinically Annotated Survey Dataset for Insomnia and Anxiety Assessment Based on ISI and HAM-A
Description
Insomnia and anxiety are highly interconnected mental health conditions that significantly affect cognitive functioning, productivity and overall quality of life. Their persistent co-occurrence may lead to continuous sleep disturbance, mental strain, emotional distress and an increased risk of long-term health complications. Considering their growing global prevalence, Onidra was developed as a large-scale clinically annotated dataset to support research on the integrated assessment of insomnia and anxiety. The dataset includes information from 10,008 participants from different regions of Bangladesh and provides a comprehensive view of sleep-related problems, anxiety symptoms and associated behavioral and lifestyle factors. Data were collected between 30 June 2022 and 21 October 2024 through structured questionnaire-based procedures conducted in healthcare-linked settings and mental health awareness events. Two globally recognized clinical scales, the Insomnia Severity Index (ISI) and the Hamilton Anxiety Rating Scale (HAM-A), were used in the study. Item-level responses from these scales were recorded and scored according to standardized guidelines. Additional information on lifestyle habits and behavioral indicators was also collected to enrich clinical interpretation. The data collection process was conducted in collaboration with Aachol Foundation under a formal Memorandum of Understanding with Daffodil International University, Bangladesh. The process was supported by trained enumerators and written informed consent was obtained from all participants. Final clinical labels were assigned by expert clinicians based on ISI scores, HAM-A scores and behavioral indicators. This dataset can support statistical analysis, predictive modeling and intelligent systems for early detection and integrated assessment of insomnia and anxiety.
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Institutions
- Daffodil International UniversityDhaka Division, Dhaka
- Universiti Malaysia PerlisPerlis, Perlis