Indicators Of Anxiety Or Depression
Indicators Based on Reported Frequency of Symptoms During Last 7 Days
@kaggle.melissamonfared_indicators_of_anxiety_or_depression
About this Dataset
Indicators Of Anxiety Or Depression
Title: Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days
Context:
This dataset contains information on the indicators of anxiety or depression based on the reported frequency of symptoms during the last 7 days. The data is collected through the Household Pulse Survey, launched by the U.S. Census Bureau in collaboration with five federal agencies. This survey aims to produce data on the social and economic impacts of Covid-19 on American households, including dimensions of physical and mental wellness.
Source:
- Household Pulse Survey: Conducted by the U.S. Census Bureau.
- Supporting Documentation: For more information, refer to the Household Pulse Survey.
Dataset Details and Key Features
This dataset provides weekly estimates of anxiety and depression indicators among different demographic groups in the United States. The data is collected using internet questionnaires, with invitations sent via email and text message. The sample frame is based on the Census Bureau Master Address File Data, and estimates are weighted to adjust for nonresponse and to match Census Bureau population estimates.
Key Features:
- Weekly Estimates: Provides timely and accurate weekly estimates of anxiety and depression indicators.
- Demographic Segmentation: Data segmented by age, sex, race/ethnicity, education, and state.
- Weighted Estimates: Adjusts for nonresponse and matches population estimates for more accurate representation.
- High Confidence Intervals: Estimates meet NCHS Data Presentation Standards for Proportions.
Usage
Research and Analysis:
- Mental Health Trends: Analyze trends in anxiety and depression during the Covid-19 pandemic.
- Public Health Response: Inform public health strategies to address mental health issues.
- Socioeconomic Analysis: Study the impact of socioeconomic factors on mental health.
Policy Making:
- Resource Allocation: Allocate resources effectively to support mental health services.
- Program Development: Develop programs aimed at reducing anxiety and depression.
- Crisis Management: Use data to manage and respond to mental health crises during pandemics.
Healthcare Planning:
- Preventive Measures: Design preventive measures and programs based on demographic data.
- Community Outreach: Plan community outreach programs targeting high-risk groups.
- Mental Health Services: Inform the creation and enhancement of mental health services.
Data Maintenance
- Maintainer: National Center for Health Statistics
- Publisher: Centers for Disease Control and Prevention
- Last Updated: June 27, 2024
Quality Assurance:
- Data Validation: Ensures data accuracy through rigorous validation processes.
- Consistency Checks: Regular consistency checks to maintain data integrity.
Additional Notes:
- Data is collected from the Household Pulse Survey, ensuring comprehensive coverage and reliability.
- For detailed definitions and explanations of measures, refer to the supporting documentation provided by the Household Pulse Survey.
Schema:
| Column Name | Description |
|---|---|
| Indicator | Type of indicator, e.g., Symptoms of anxiety or depression |
| Group | Group category, e.g., National Estimate |
| State | State name |
| Subgroup | Subgroup category, e.g., By Age, By Sex, By Race/Hispanic Origin, By Education |
| Phase | Phase of the survey |
| Time Period | Time period of data collection |
| Time Period End Date | End date of the time period |
| Time Period Start Date | Start date of the time period |
| Value | Estimated percentage of respondents reporting symptoms |
| Low CI | Lower bound of the confidence interval |
| High CI | Upper bound of the confidence interval |
| Confidence Quartile Range | Confidence quartile range for the estimate |