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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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Eating Disorder Diagnostic Interview

156 Shared Subjects

N/A
Clinical Assessments
Body Image
04/16/2018
eddi01
06/22/2018
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 Recommended Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query adis_interviewformat Integer Recommended Interview Format
1;2; 999
1=On Phone; 2=In Person; 999 = Missing inttype, phone_interview
Query binge_epi1 Integer Recommended On how many days did you have a binge episode? binge_epi10, binge_epi11, binge_epi12, binge_epi2, binge_epi3, binge_epi4, binge_epi5, binge_epi6, binge_epi7, binge_epi8, binge_epi9, ede1dys1, ede1dys10, ede1dys11, ede1dys12, ede1dys2, ede1dys3, ede1dys4, ede1dys5, ede1dys6, ede1dys7, ede1dys8, ede1dys9
Query binge_days1 Integer Recommended How many bingeing episodes did you have on each bingeing day? binge_days10, binge_days11, binge_days12, binge_days2, binge_days3, binge_days4, binge_days5, binge_days6, binge_days7, binge_days8, binge_days9, ede1eps1, ede1eps10, ede1eps11, ede1eps12, ede1eps2, ede1eps3, ede1eps4, ede1eps5, ede1eps6, ede1eps7, ede1eps8, ede1eps9
Query mini_binge3 Integer Recommended Binge Eating Disorder: Eat more rapidly than normal? 0;1;3;999 0=No; 1=Yes; 3 = N/A; 999 = Missing ede2
Query mini_binge4 Integer Recommended Binge Eating Disorder: Eat until you felt uncomfortably full? 0;1;3;999 0=No; 1=Yes; 3 = N/A; 999 = Missing ede3
Query ede4 Integer Recommended During these binge episodes, did you eat large amounts of food when you didn't feel physically hungry? 0;1; 3; 999 0 = No; 1 = Yes; 3 = N/A; 999 = Missing
Query mini_binge6 Integer Recommended Binge Eating Disorder: Eat alone because you felt embarrassed about how much you were eating? 0;1;3;999 0=No; 1=Yes; 3 = N/A; 999 = Missing ede5
Query mini_binge7 Integer Recommended Binge Eating Disorder: Feel guilty, depressed or disgusted with yourself after binging? 0;1;3;999 0=No; 1=Yes; 3 = N/A; 999 = Missing ede6
Query ede7 Integer Recommended During these binge episodes, did you feel upset that you couldn't control your eating? 0;1; 3; 999 0 = No; 1 = Yes; 3 = N/A; 999 = Missing
Query sick1 Integer Recommended Have you made yourself sick (i.e., throw-up) as a means of controlling your shape or weight? How many episodes of self-induced vomiting have occurred? 999 = Missing ede8sck1, ede8sck10, ede8sck11, ede8sck12, ede8sck2, ede8sck3, ede8sck4, ede8sck5, ede8sck6, ede8sck7, ede8sck8, ede8sck9, sick10, sick11, sick12, sick2, sick3, sick4, sick5, sick6, sick7, sick8, sick9
Query lax1 Integer Recommended Have you taken laxatives or diuretics (water pills) as a means of controlling your shape or weight? (e.g. medicines such as Ex-Lax, Correctol, Phenamint, Nature's Remedy, Sunril, Aqua-Ban, Pamprin, Midol-PMS.) How many episodes of laxative/diuretic use to control your shape or weight have occurred? 999 = Missing ede9lax1, ede9lax10, ede9lax11, ede9lax12, ede9lax2, ede9lax3, ede9lax4, ede9lax5, ede9lax6, ede9lax7, ede9lax8, ede9lax9, lax10, lax11, lax12, lax2, lax3, lax4, lax5, lax6, lax7, lax8, lax9
Query dietpills1 Integer Recommended Have you used diet pills (e.g. Dexatrim, Dietac, Acutrim) as a means of controlling your shape or weight? How many episodes of diet pill use to control shape or weight have occurred? 999 = Missing dietpills10, dietpills11, dietpills12, dietpills2, dietpills3, dietpills4, dietpills5, dietpills6, dietpills7, dietpills8, dietpills9, ede9apill1, ede9apill10, ede9apill11, ede9apill12, ede9apill2, ede9apill3, ede9apill4, ede9apill5, ede9apill6, ede9apill7, ede9apill8, ede9apill9
Query fast1 Integer Recommended Have you fasted (meaning have you skipped at least 2 meals in a row) as a means of controlling your shape or weight? How many episodes of fasting to control your shape or weight have occurred? 999 = Missing ede10fst1, ede10fst10, ede10fst11, ede10fst12, ede10fst2, ede10fst3, ede10fst4, ede10fst5, ede10fst6, ede10fst7, ede10fst8, ede10fst9, fast10, fast11, fast12, fast2, fast3, fast4, fast5, fast6, fast7, fast8, fast9
Query exer1 Integer Recommended Over the past 4 weeks have you engaged in exercise that was intended to burn calories to compensate for "overconsumption" of eating or drinking? How many days of compensatory exercise occurred in the past 4 weeks? (Month 1) 999 = Missing ede11ex1, ede11ex10, ede11ex11, ede11ex12, ede11ex2, ede11ex3, ede11ex4, ede11ex5, ede11ex6, ede11ex7, ede11ex8, ede11ex9, exer10, exer11, exer12, exer2, exer3, exer4, exer5, exer6, exer7, exer8, exer9
Query formexer Integer Recommended Typically what form of exercise have you done? 1::31;999 1 = Running; 2 = Jogging; 3 = Walking; 4 = Pushups; 5 = Sit-ups/Crunches/Core Exercises; 6 = Treadmill; 7 = Biking/Stationary Bike; 8 = Stairstepper/Stairmaster; 9 = Swimming; 10 = Boxing; 11 = Pilates; 12 = Yoga; 13 = Leg Lifts; 14 = Lunges; 15 = Weight Lifting; 16 = Cardio/Aerobics; 17 = Dancing; 18 = Racquetball; 19 = Trampoline; 20 = Elliptical; 21 = Soccer; 22 = Basketball; 23 = Rowing; 24 = Rugby; 25 = Arc Trainer; 26 = Tennis; 27 = Badminton; 28 = Kickboxing; 29 = Hiking; 30 = Rock Climbing; 31 = Cross Fit/ Boot camp; 999 = Missing ede12
Query duraexer Float Recommended Typical duration (in minutes) per exercise episode? 999 = Missing ede13
Query importance Integer Recommended Has your weight and/or shape important in influencing how you feel about yourself as a person (i.e. how you judge, think, evaluate yourself)? ("On a scale of 0 to 6 . . .") 0::6; 999 0 = No importance; 2 = Some importance (definitely aspect of self-evaluation); 4 = Moderate importance (definitely one of the main aspects of self-evaluation); 6 = Supreme importance (nothing is more important in terms of self-evaluation); 999 = Missing ede14
Query imp1 Integer Recommended Over the past 4 weeks has your weight and/or shape important in influencing how you feel about yourself as a person (i.e. how you judge, think, evaluate yourself)? ("On a scale of 0 to 6 . . .") (Month 1) 0::6; 999 0 = No importance; 2 = Some importance (definitely aspect of self-evaluation); 4 = Moderate importance (definitely one of the main aspects of self-evaluation); 6 = Supreme importance (nothing is more important in terms of self-evaluation); 999 = Missing ede15imp1, ede15imp10, ede15imp11, ede15imp12, ede15imp2, ede15imp3, ede15imp4, ede15imp5, ede15imp6, ede15imp7, ede15imp8, ede15imp9, imp10, imp11, imp12, imp2, imp3, imp4, imp5, imp6, imp7, imp8, imp9
Query afraid_fat Integer Recommended Have you been afraid that you might gain weight (or become fat)? How many days? 0::6; 999 0 = 0 days/wk: no definite fear of fatness or weight gain; 1 = 1-2 days/wk; 2 = 2-3 days/wk: definite fear of fatness or weight gain present on less than half the days; 3 = 3-4 days/wk; 4 = 4-5 days/wk: definite fear of fatness or weight gain present on more than half the days; 5 = 5-6 days/wk; 6 = 6-7 days/wk: definite fear of fatness or weight gain present every day; 999 = missing afraid, ede16, ede17afd1, ede17afd10, ede17afd11, ede17afd12, ede17afd2, ede17afd3, ede17afd4, ede17afd5, ede17afd6, ede17afd7, ede17afd8, ede17afd9, fear1, fear10, fear11, fear12, fear2, fear3, fear4, fear5, fear6, fear7, fear8, fear9
Query diet Integer Recommended Have you done any specific behaviors to avoid gaining weight? (Such as only eat fruits and vegetables to avoid gaining weight. Do not count behaviors that have been captured in previous questions.) 0::6; 999 0 = 0 days/wk: no weight gain avoidance behaviors; 1 = 1-2 days/wk; 2 = 2-3 days/wk: weight gain avoidance behaviors on less than half the days; 3 = 3-4 days/wk; 4 = 4-5 days/wk: weight gain avoidance behaviors present on more than half the days; 5 = 5-6 days/wk; 6 = 6-7 days/wk: weight gain avoidance behaviors present every day; 999 = missing diet1, diet10, diet11, diet12, diet2, diet3, diet4, diet5, diet6, diet7, diet8, diet9, ede17adiet1, ede17adiet10, ede17adiet11, ede17adiet12, ede17adiet2, ede17adiet3, ede17adiet4, ede17adiet5, ede17adiet6, ede17adiet7, ede17adiet8, ede17adiet9
Query fat Integer Recommended Have you felt fat? 0::7; 999 0 = 0 days/wk: has not felt fat; 1 = 1-2 days/wk; 2 = 2-3 days/wk: has felt fat on less than half the days; 3 = 3-4 days/wk; 4 = 4-5 days/wk: has felt fat on more than half the days; 5 = 5-6 days/wk; 6 = 6-7 days/wk: has felt fat every day; 7 = Question not asked by interviewer; 999 = missing ede18, ede19fat1, ede19fat10, ede19fat11, ede19fat12, ede19fat2, ede19fat3, ede19fat4, ede19fat5, ede19fat6, ede19fat7, ede19fat8, ede19fat9, fat1, fat10, fat11, fat12, fat2, fat3, fat4, fat5, fat6, fat7, fat8, fat9
Query month_menarche Integer Recommended What was the approximate month of your first menstrual period? 1::12; 999 999 = Missing ede20mn, month
Query year_menarche Integer Recommended What was the approximate year of your first menstrual period? 999 = Missing ede20yr, year
Query periods3 Integer Recommended How many periods have you missed over the past 3 months? 0::3; 888; 999 888 = N/A; 999 = Missing ede21
Query periods9 Integer Recommended How many periods have you missed over the 9 months before the past 3? 0::9; 888; 999 888 = N/A; 999 = Missing ede22
Query birth_control Integer Recommended Have you used any type of hormonal birth control in the last year? 0::1; 999 0 = No; 1 = Yes; 999 = Missing ede23a
Query birth_control_kind Integer Recommended If you have used any type of hormonal birth control in the last year, what kind? 0::10; 999 0 = N/A; 1 = Depo (shot); 2 = Pill (monthly); 3 = Ring (Monthly); 4 = Patch; 5 = Hormone supplement; 6 = IUD; 7 = Pill (Seasonal); 8 = Ring (Seasonal); 9 = Plan-B (morning after pill); 10 = Implant (Implanon); 999 = Missing ede23b
Query weightchange Integer Recommended Have you been pregnant in the past year or had any medical problems that would have caused a significant change in your weight or eating habits? 0::1; 999 0 = No; 1 = Yes ede23c
eddi_23c String 300 Recommended If you have been pregnant in the past year or had any medical problems that would have caused a significant change in your weight or eating habits, then specify:
Query weight_loss_treatment Integer Recommended Have you participated in a structured weight loss treatment that cost money (e.g., Weight Watchers, Jenny Craig) in the past 12 months? 0::1; 999 0 = No; 1 = Yes; 999 = Missing ede24a
weight_loss_length String 50 Recommended If you have participanted in a structured weight loss treatment that cost money, then how long did you participate in this paid weight loss program for? 0 = N/A; 999 = Missing eded24b
weight_loss_pounds String 50 Recommended How much weight did you lose from participating in this structured weight loss treatment (past year) that cost money? 0 = N/A; 999 = Missing ede24c
Query height1 Float Recommended Measure height in cm. - Measurement 1 ede25a
Query height2 Float Recommended Measure height in cm. - Measurement 2 ede25b
Query weight1 Float Recommended Measure weight in kg. - Measurement 1 ede26a
Query weight2 Float Recommended Measure weight in kg. - Measurement 2 ede26b
Query lowest_weight_mn Float Recommended What has been your lowest weight in the past month? Weight in pounds. ede27
dawba_p2_c String 10 Recommended Diet/Weight/Body - What was your lowest weight in the last 12 months? ede28, lowest_weight_yr
Query highest_weight_mn Float Recommended What has been your highest weight in the past month? Weight in pounds. ede29
Query highest_weight_yr Float Recommended What has been your highest weight in the past 12 months? Weight in pounds. ede30
dawba_p2_d String 10 Recommended Diet/Weight/Body - What was your highest weight ever? ede31, highest_weight_ever
version_form String 121 Recommended Form used/assessment name
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.