Dataset: 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

Tables

Indicators Of Anxiety Or Depression

@kaggle.melissamonfared_indicators_of_anxiety_or_depression.indicators_of_anxiety_or_depression

195.93 KB
16092 rows
14 columns


CREATE TABLE indicators_of_anxiety_or_depression (
  "indicator" VARCHAR,
  "group" VARCHAR,
  "state" VARCHAR,
  "subgroup" VARCHAR,
  "phase" VARCHAR,
  "time_period" BIGINT,
  "time_period_label" VARCHAR,
  "time_period_start_date" TIMESTAMP,
  "time_period_end_date" TIMESTAMP,
  "value" DOUBLE,
  "low_ci" DOUBLE,
  "high_ci" DOUBLE,
  "confidence_interval" VARCHAR,
  "quartile_range" VARCHAR
);