NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

NDA Help Center

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. 

Loading...

Login
Reset Password

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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Filter Cart
No filters selected
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

Eating Pathology Symptoms Inventory

76 Shared Subjects

N/A
Clinical Assessments
Body Image
01/26/2018
epsi01
06/26/2019
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
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query epsi01 Integer Recommended I did not like how clothes fit the shape of my body 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi02 Integer Recommended I tried to exclude 'unhealthy" foods from my diet 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query idas_24 Integer Recommended I ate when I wasn't hungry 1::5 1=not at all; 2= a little bit; 3= moderately; 4= quite a bit; 5 = extremely epsi03
Query epsi04 Integer Recommended People told me that I do not eat very much 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi05 Integer Recommended I felt that I needed to exercise nearly every day 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi06 Integer Recommended People would be surprised if they knew how little I ate 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi07 Integer Recommended I used muscle building supplements 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi08 Integer Recommended I pushed myself extremely hard when I exercised 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi09 Integer Recommended I snacked throughout the evening without realizing 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi10 Integer Recommended I got full more easily than most people 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi11 Integer Recommended I considered taking diuretics to lose weight 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi12 Integer Recommended I tried on different outfits, because I did not like how I looked 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi13 Integer Recommended I thought Laxatives are a good way to lose weight 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi14 Integer Recommended I thought that obese people lack self-control 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi15 Integer Recommended I thought about taking steroids as a way to get more muscular 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi16 Integer Recommended I used diet teas or cleansing teas to lose weight 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi17 Integer Recommended I used diet pills 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi18 Integer Recommended I did not like how my body looked 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi19 Integer Recommended I ate until I was uncomfortably full 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi20 Integer Recommended I felt that overweight people are lazy 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi21 Integer Recommended I counted the calories of foods I ate 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi22 Integer Recommended I planned my days around exercising 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi23 Integer Recommended I thought my butt was too big 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi24 Integer Recommended I did not like the size of my thighs 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi25 Integer Recommended I wished the shape of my body was different 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi26 Integer Recommended I was disgusted by the sight of an overweight person wearing tight clothes 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi27 Integer Recommended I made myself vomit in order to lose weight 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi28 Integer Recommended I did not notice how much I ate until after I had finished eating 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi29 Integer Recommended I considered taking a muscle building supplement 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi30 Integer Recommended I felt that overweight people are unattractive 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi31 Integer Recommended I engaged in strenuous exercise at least five days per week 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi32 Integer Recommended I thought my muscles were too small 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi33 Integer Recommended I got full after eating what most people would consider a small amount of food 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi34 Integer Recommended I was not satisfied with the size of my hips 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi35 Integer Recommended I used protein supplements 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi36 Integer Recommended People encouraged me to eat more 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi37 Integer Recommended If someone offered me food, I felt that I could not resist eating it 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi38 Integer Recommended I was disgusted by the sight of obese people 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi39 Integer Recommended I stuffed myself with food to the point of feeling sick 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi40 Integer Recommended I tried to avoid foods with high calorie content 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi41 Integer Recommended I exercised to the point of exhaustion 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi42 Integer Recommended I used diuretics in order to lose weight 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi43 Integer Recommended I skipped two meals in a row 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi44 Integer Recommended I ate as if I was on auto-pilot 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi45 Integer Recommended I ate a very large amount of food in a short period of time (e.g. Within 2 hours) 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
Query epsi46 Integer Recommended Body Dissatisfaction score Sum of questions 1, 12, 18, 23, 25, 34
Query epsi47 Integer Recommended Binge eating score Sum of questions 3, 9, 19, 28, 37, 39, 44, 45
Query epsi48 Integer Recommended Cognitive Restraint score Sum of questions 2, 21, 40
Query epsi49 Integer Recommended Purging score Sum of questions 11, 13, 16, 17, 27, 42
Query epsi50 Integer Recommended Restricting score Sum of questions 4, 6, 10, 33, 43
Query epsi51 Integer Recommended Excessive exercise score Sum of questions 5, 8, 22, 31, 41
Query epsi52 Integer Recommended Negative Attitudes toward obesity score Sum of questions 14, 20, 26, 30, 38
Query epsi53 Integer Recommended Muscle building score Sum of questions 7, 15, 29, 32, 35
timepoint_label String 5 Recommended Timepoint/visit label timepoint
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.