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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.
     

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 

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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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International Physical Activity Questionnaire

328 Shared Subjects

N/A
Clinical Assessments
Questionnaire
08/23/2016
ipaq01
06/19/2019
View Change History
01
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project hcpa_id, record_id, subject
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_of_interview_contact, ipaqdate, v10_ipaq_date, v1_ipaq_date, v7_ipaq_date
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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. age, v10_ipaq_age, v1_ipaq_age, v7_ipaq_age
sex String 20 Required Sex of the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported demo_1, gender
Query ipaq1 Integer Recommended Do you currently have a job or do any unpaid work outside your home 0;1 0=No;1=Yes
Query ipaq2 Integer Recommended During the last 7 days, on how many days did you do vigorous physical activities like heavy lifting, digging, aerobics, or fast cycling? (# days per week) ipaq1days, ipaq_1111, v10_ipaq_vigorous_daysinpastweek, v1_ipaq_vigorous_daysinpastweek, v7_ipaq_vigorous_daysinpastweek, vigdays
Query ipaq3a Integer Recommended How much time did you usually spend doing vigorous physical activities on one of those days? (hours per day) ipaq2hrs, vighours
Query ipaq3b Integer Recommended How much time did you usually spend doing vigorous physical activities on one of those days? (minutes per day) 999 = Unknown ipaq2mins, ipaq_1112_mins, v10_ipaq_vigorous_minutesperdayinpastweek, v1_ipaq_vigorous_minutesperdayinpastweek, v7_ipaq_vigorous_minutesperdayinpastweek, vigminutes
Query ipaq4 Integer Recommended During the last 7 days, on how many days did you do moderate physical activities like carrying light loads, bicycling at a regular pace, or doubles tennis? (# days per week) ipaq3days, ipaq_1113_days, moddays, v10_ipaq_moderate_daysinpastweek, v1_ipaq_moderate_daysinpastweek, v7_ipaq_moderate_daysinpastweek
Query ipaq5a Integer Recommended How much time did you usually spend doing moderate physical activities on one of those days? (hours per day) ipaq4hrs, modhours
Query ipaq5b Integer Recommended How much time did you usually spend doing moderate physical activities on one of those days? (minutes per day) 999 = Unknown ipaq4mins, ipaq_1114_mins, modminutes, v10_ipaq_moderate_minutesperdayinpastweek, v1_ipaq_moderate_minutesperdayinpastweek, v7_ipaq_moderate_minutesperdayinpastweek
Query ipaq6 Integer Recommended During the last 7 days, on how many days did you walk for at least ten minutes at a time? (# days per week) ipaq5days, ipaq_1115_days, v10_ipaq_walking_daysinpastweek, v1_ipaq_walking_daysinpastweek, v7_ipaq_walking_daysinpastweek, walkdays
Query ipaq7a Integer Recommended How much time did you usually spend walking on one of those days? (hours per day) ipaq6hrs, walkhours
Query ipaq7b Integer Recommended How much time did you usually spend walking on one of those days? (minutes per day) 999 = Unknown ipaq6mins, ipaq_1116_mins, v10_ipaq_walking_minutesperdayinpastweek, v1_ipaq_walking_minutesperdayinpastweek, v7_ipaq_walking_minutesperdayinpastweek, walkminutes
Query ipaq8 Integer Recommended During the last 7 days, on how many days did you travel in a motor vehicle like a train, bus, car, or tram (days per week)
Query ipaq9a Integer Recommended How much time did you usually spend on one of those days traveling in a train, bus, car, tram, or other kind of motor vehicle (hours per day)
Query ipaq9b Integer Recommended How much time did you usually spend on one of those days traveling in a train, bus, car, tram, or other kind of motor vehicle (minutes per day)
Query ipaq10 Integer Recommended During the last 7 days , on how many days did you bicycle for at least 10 minutes at a time to go from place to place (days per week)
Query ipaq11a Integer Recommended How much time did you usually spend on one of those days to bicycle from place to place (hours per week)
Query ipaq11b Integer Recommended How much time did you usually spend on one of those days to bicycle from place to place (minutes per week)
Query ipaq12 Integer Recommended During the last 7 days, on how many days did you walk for at least 10 minutes at a time to go from place to place (days per week)
Query ipaq13a Integer Recommended How much time did you usually spend on one of those days walking from place to place (hours per week)
Query ipaq13b Integer Recommended How much time did you usually spend on one of those days walking from place to place (days per week)
Query ipaq14 Integer Recommended Think about only those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do vigorous physical activities like heavy lifting, chopping wood, shoveling snow, or digging in the garden or yard (days per week)
Query ipaq15a Integer Recommended How much time did you usually spend on one of those days doing vigorous physical activities in the garden or yard (hours per day)
Query ipaq15b Integer Recommended How much time did you usually spend on one of those days doing vigorous physical activities in the garden or yard (minutes per day)
Query ipaq16 Integer Recommended Again, think about only those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do moderate activities like carrying light loads, sweeping, washing windows, and raking in the garden or yard (days per week)
Query ipaq17a Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities in the garden or yard (hours per day)
Query ipaq17b Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities in the garden or yard (minutes per day)
Query ipaq18 Integer Recommended Once again, think about only those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do moderate activities like carrying light loads, washing windows, scrubbing floors and sweeping inside your home (days per week)
Query ipaq19a Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities inside your home (hours per day)
Query ipaq19b Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities inside your home (minutes per day)
Query ipaq20 Integer Recommended Not counting any walking you have already mentioned, during the last 7 days, on how many days did you walk for at least 10 minutes at a time in your leisure time (days per week)
Query ipaq21a Integer Recommended How much time did you usually spend on one of those days walking in your leisure time (hours per day)
Query ipaq21b Integer Recommended How much time did you usually spend on one of those days walking in your leisure time (minutes per day)
Query ipaq22 Integer Recommended Think about only those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do vigorous physical activities like aerobics, running, fast bicycling, or fast swimming in your leisure time (days per week)
Query ipaq23a Integer Recommended How much time did you usually spend on one of those days doing vigorous physical activities in your leisure time (hours per week)
Query ipaq23b Integer Recommended How much time did you usually spend on one of those days doing vigorous physical activities in your leisure time (days per week)
Query ipaq24 Integer Recommended Again, think about only those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do moderate physical activities like bicycling at a regular pace, swimming at a regular pace, and doubles tennis in your leisure time (days per week)
Query ipaq25a Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities in your leisure time (hours per day)
Query ipaq25b Integer Recommended How much time did you usually spend on one of those days doing moderate physical activities in your leisure time (days per day)
Query ipaq26a Integer Recommended During the last 7 days, how much time did you spend sitting on a week day? (hours per day) ipaq7hrs, ipaq7mins, v10_ipaq_sitting_minutesperdayinpastweek, v7_ipaq_sitting_minutesperdayinpastweek
Query ipaq26n Integer Recommended During the last 7 days, how much time did you spend sitting on a week day? (minutes per day) 999 = Unknown ipaq_1117_weekday_mins, v1_ipaq_sitting_minutesperdayinpastweek
Query ipaq27a Integer Recommended During the last 7 days, how much time did you spend sitting on a weekend day? (hours per day)
Query ipaq27b Integer Recommended During the last 7 days, how much time did you spend sitting on a weekend day? (minutes per day)
Query ipaqsf_cat Integer Recommended IPAQ Short Form Categorical Score 1::3 1=Low Level of Activity; 2=Moderate Level of Activity; 3=High Level of Activity
version_form String 121 Recommended Form used/assessment name version
ipaq_1112_week_mins Integer Recommended How much time in total would you spend over the last 7 days doing vigorous physical activities? (minutes per week)
ipaq_1114_week_mins Integer Recommended What is the total amount of time you spent over the last 7 days doing moderate physical activities?� (minutes per week)
ipaq_1116_week_mins Integer Recommended What is the total amount of time you spent walking over the last 7 days? (minutes per week)
ipaq_1117_wed_mins Integer Recommended What is the total amount of time you spent sitting last Wednesday? (minutes on Wednesday)
completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified ipaq_complete
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.