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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
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Albany Phobia and Panic Questionnaire

appq

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectrecord_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
appq00_1IntegerRecommended1. Talking to people0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_1, appq2_1
appq00_2IntegerRecommended2. Going through a car wash0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_2, appq2_2
appq00_3IntegerRecommended3. Playing a vigorous sport on a hot day0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_3, appq2_3
appq00_4IntegerRecommended4. Blowing up an airbed quickly0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_4, appq2_4
appq00_5IntegerRecommended5. Eating in front of other0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_5, appq2_5
appq00_6IntegerRecommended6. Hiking on a hot day0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_6, appq2_6
appq00_7IntegerRecommended7. Getting gas at dentist0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_7, appq2_7
appq00_8IntegerRecommended8. Interrupting a meeting0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_8, appq2_8
appq00_9IntegerRecommended9. Giving a speech0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_9, appq2_9
appq00_10IntegerRecommended10. Exercising vigorously alone0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_10, appq2_10
appq00_11IntegerRecommended11. Going long distances from home alone0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_11, appq2_11
appq00_12IntegerRecommended12. Introducing yourself to groups0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_12, appq2_12
appq00_13IntegerRecommended13. Walking alone in an isolated area0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_13, appq2_13
appq00_14IntegerRecommended14. Driving on highways0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_14, appq2_14
appq00_15IntegerRecommended15. Wearing striking clothes0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_15, appq2_15
appq00_16IntegerRecommended16. Possibility of getting lost0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_16, appq2_16
appq00_17IntegerRecommended17. Drinking a strong cup of coffee0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_17, appq2_17
appq00_18IntegerRecommended18. Sitting in the center of a cinema0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_18, appq2_18
appq00_19IntegerRecommended19. Running up stairs0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_19, appq2_19
appq00_20IntegerRecommended20. Riding on a subway0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_20, appq2_20
appq00_21IntegerRecommended21. Speaking on the telephone0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_21, appq2_21
appq00_22IntegerRecommended22. Meeting strangers0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_22, appq2_22
appq00_23IntegerRecommended23. Writing in front of others0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_23, appq2_23
appq00_24IntegerRecommended24. Entering a room full of people0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_24, appq2_24
appq00_25IntegerRecommended25. Staying overnight away from home0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_25, appq2_25
appq00_26IntegerRecommended26. Feeling the effects of alcohol0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_26, appq2_26
appq00_27IntegerRecommended27. going over a long, low bridge0::80= No Fear; 2= Slight fear; 4= Moderate fear; 6= Marked Fear; 8= Extreme fearappq1_27, appq2_27
appq_agorIntegerRecommendedAgoraphobia score
appq_spIntegerRecommendedSocial Phobia score
appq_intIntegerRecommendedInteroceptive score
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.

Distribution for DataStructure: appq01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.