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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).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

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.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

  • 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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ABCD Youth Substance Use Attitudes

11,359 Shared Subjects

Intentions, perceived harm, peer tolerance, perceived availability, and expectancies of substance use (update)
Clinical Assessments
Substance Use
01/18/2019
abcd_ysua01
05/28/2021
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_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.
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
eventname String 60 Recommended The event name for which the data was collected
Query ptu_a_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying one or two drinks of an alcoholic beverage (beer, wine, liquor) 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l == '1' su_ptu_a
Query ptu_b_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Taking one or two alcohol drinks nearly every day 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l =='1' su_ptu_b
Query ptu_c_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Having five or more alcoholic drinks once or twice each weekend 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l == '1' su_ptu_c
Query ptu_d_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying one or two cigarettes 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_ptu_d
Query ptu_e_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Smoking cigarettes occasionally 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_ptu_e
Query ptu_f_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Smoking one or more packs of cigarettes per day 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_ptu_f
Query ptu_g_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Using e-cigarettes regularly 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_ptu_g
Query ptu_h_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Using smokeless tobacco regularly 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_ptu_h
Query ptu_i_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying marijuana (pot, weed) once or twice 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_ptu_i
Query ptu_j_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Smoking marijuana occasionally 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_ptu_j
Query ptu_k_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Smoking marijuana regularly 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_ptu_k
Query ptu_l_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying liquid, sprays, and gases that people sniff or inhale to get high (such as gasoline, glue, and nitrous oxide) once or twice 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_inhalant_l =='1' || tlfb_inhalant_c_l =='1' su_ptu_l
Query ptu_m_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying prescription pain relievers (such as Vicodin, hydrocodone, Oxycontin; not over the counter drugs like Tylenol) in a way that a doctor did not direct you to use it once or twice 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_ptu_m
Query ptu_n_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying prescription use of tranquilizers to relax people (such as Xanax or Ativan) in a way a doctor did not direct you to use it once or twice 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_ptu_n
Query ptu_o_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying prescription stimulants (such as Adderall or Ritalin that may be used for attention disorders) in a way a doctor did not direct you to use it once or twice 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_ptu_o
Query ptu_p_y Integer Recommended How do you think your CLOSE FRIENDS feel (or would feel) about YOU doing each of the following things? Trying other drugs like cocaine, heroin, or methamphetamine 0 ; 1 ; 2 ; 999 0 = Not Disapprove; 1 = Disapprove; 2 = Strongly Disapprove; 999 = Don't Know / tlfb_list_l___1 == '1' || tlfb_list_l___2 == '1' || tlfb_list_l___3 == '1' || tlfb_list_l___4 == '1' || tlfb_list_l___5 == '1' || tlfb_list_l___6 == '1' || tlfb_list_l___7 == '1' || tlfb_list_l___8 == '1' || tlfb_list_l___9 == '1' || tlfb_list_l___10 == '1' || tlfb_list_l___11 == '1' || tlfb_list_l___12 == '1' su_ptu_p
Query peer_deviance_1_l Integer Recommended How many of your friends currently: smoke cigarettes 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_tob_l =='1' || tlfb_tob_c_l =='1' su_peer_deviance_1_l
Query peer_deviance_2_l Integer Recommended How many of your friends currently: drink alcohol (full beer, wine or liquor) 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_alc_l =='1' || tlfb_alc_c_l =='1' su_peer_deviance_2_l
Query peer_deviance_3_l Integer Recommended How many of your friends currently: get drunk 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_alc_l =='1' || tlfb_alc_c_l =='1' su_peer_deviance_3_l
Query peer_deviance_4_l Integer Recommended How many of your friends currently: have problems with alcohol or other drugs 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_alc_l =='1' || tlfb_tob_l =='1' || tlfb_mj_l =='1' || tlfb_mj_synth_l =='1' || tlfb_bitta_l =='1' || tlfb_list_yes_no_l =='1' || tlfb_alc_c_l =='1' || tlfb_tob_c_l =='1' || tlfb_mj_c_l =='1' || tlfb_mj_synth_c_l =='1' || tlfb_bitta_c_l =='1' || tlfb_list_yes_no_c_l =='1' su_peer_deviance_4_l
Query peer_deviance_5_l Integer Recommended How many of your friends currently: use marijuana 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_mj_l =='1' || tlfb_mj_c_l =='1' su_peer_deviance_5_l
Query peer_deviance_6_l Integer Recommended How many of your friends currently: use inhalants (gas, glue, nitrous oxide) 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_inhalant_l == '1' || tlfb_inhalant_c_l == '1' su_peer_deviance_6_l
Query peer_deviance_7_l Integer Recommended How many of your friends currently: use other drugs like cocaine, downers, or LSD (lysergic acid diethylamide) 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___2 == '1' || tlfb_list_l___3 == '1' || tlfb_list_l___4 == '1' || tlfb_list_l___5 == '1' || tlfb_list_l___6 == '1' || tlfb_list_l___7 == '1' || tlfb_list_l___8 == '1' || tlfb_list_l___9 == '1' || tlfb_list_l___10 == '1' || tlfb_list_l___11 == '1' || tlfb_list_l___12 == '1' su_peer_deviance_7_l
Query peer_deviance_8_l Integer Recommended How many of your friends currently: sell or give drugs to others 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_alc_l =='1' || tlfb_tob_l =='1' || tlfb_mj_l =='1' || tlfb_mj_synth_l =='1' || tlfb_bitta_l =='1' || tlfb_list_yes_no_l =='1' || tlfb_alc_c_l =='1' || tlfb_tob_c_l =='1' || tlfb_mj_c_l =='1' || tlfb_mj_synth_c_l =='1' || tlfb_bitta_c_l =='1' || tlfb_list_yes_no_c_l =='1' su_peer_deviance_8_l
Query peer_deviance_9_l Integer Recommended How many of your friends currently: use other tobacco products like e-cigarettes, pipes, or hookah 0 ; 1 ; 2 ; 3 ; 4 0 = None; 1 = A Few; 2 = Some; 3 = Most; 4 = All / tlfb_tob_l =='1' || tlfb_tob_c_l =='1' su_peer_deviance_9_l
Query path_alc_youth1_l Integer Recommended Have you ever been curious about using a tobacco product such as cigarettes, e-cigarettes, hookah, or cigars? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Very curious; 2 = Somewhat curious; 3 = A little curious; 4 = Not at all curious; 5 = Don't Know; 6 = Refused /( tlfb_tob_l == '1' || tlfb_tob_c_l == '1') && ( tlfb_tob_puff_l =='0' && tlfb_chew_use_l =='0' && tlfb_cigar_use_l =='0' && tlfb_hookah_use_l =='0' && tlfb_pipes_use_l =='0' && tlfb_nicotine_use_l =='0' && tlfb_tob_puff_c_l =='0' && tlfb_chew_use_c_l =='0' && tlfb_cigar_use_c_l =='0' && tlfb_hookah_use_c_l =='0' && tlfb_pipes_use_c_l =='0' && tlfb_nicotine_use_c_l =='0') su_intent_youth1_l
Query path_alc_youth2_l Integer Recommended Have you ever been curious about drinking alcohol? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Very curious; 2 = Somewhat curious; 3 = A little curious; 4 = Not at all curious; 5 = Don't Know; 6 = Refused /( tlfb_alc_l == '1' || tlfb_alc_c_l == '1') && ( tlfb_alc_sip_l == '0' && tlfb_alc_sip_c_l == '0') su_intent_youth2_l
Query path_alc_youth3_l Integer Recommended Have you ever been curious about trying marijuana? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Very curious; 2 = Somewhat curious; 3 = A little curious; 4 = Not at all curious; 5 = Don't Know; 6 = Refused /( tlfb_mj_l == '1' || tlfb_mj_c_l == '1') && tlfb_mj_puff_l =='0' && tlfb_mj_conc_use_l =='0' && tlfb_mj_drink_use_l =='0' && tlfb_tincture_use_l =='0' && tlfb_mj_puff_c_l =='0' && tlfb_mj_conc_use_c_l =='0' && tlfb_mj_drink_use_c_l =='0' && tlfb_tincture_use_c_l =='0' su_intent_youth3_l
Query path_alc_youth4_l Integer Recommended Do you think you will try a tobacco product soon? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_tob_l == '1' || tlfb_tob_c_l == '1') && ( tlfb_tob_puff_l =='0' && tlfb_chew_use_l =='0' && tlfb_cigar_use_l =='0' && tlfb_hookah_use_l =='0' && tlfb_pipes_use_l =='0' && tlfb_nicotine_use_l =='0' && tlfb_tob_puff_c_l =='0' && tlfb_chew_use_c_l =='0' && tlfb_cigar_use_c_l =='0' && tlfb_hookah_use_c_l =='0' && tlfb_pipes_use_c_l =='0' && tlfb_nicotine_use_c_l =='0') su_intent_youth4_l
Query path_alc_youth5_l Integer Recommended Do you think you will try alcohol soon? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_alc_l == '1' || tlfb_alc_c_l == '1') && ( tlfb_alc_sip_l == '0' && tlfb_alc_sip_c_l == '0') su_intent_youth5_l
Query path_alc_youth6_l Integer Recommended Do you think you will try marijuana soon? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_mj_l == '1' || tlfb_mj_c_l == '1') && tlfb_mj_puff_l =='0' && tlfb_mj_conc_use_l =='0' && tlfb_mj_drink_use_l =='0' && tlfb_tincture_use_l =='0' && tlfb_mj_puff_c_l =='0' && tlfb_mj_conc_use_c_l =='0' && tlfb_mj_drink_use_c_l =='0' && tlfb_tincture_use_c_l =='0' su_intent_youth6_l
Query path_alc_youth7_l Integer Recommended If one of your best friends were to offer you a tobacco product, would you try it? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_tob_l == '1' || tlfb_tob_c_l == '1') && ( tlfb_tob_puff_l =='0' && tlfb_chew_use_l =='0' && tlfb_cigar_use_l =='0' && tlfb_hookah_use_l =='0' && tlfb_pipes_use_l =='0' && tlfb_nicotine_use_l =='0' && tlfb_tob_puff_c_l =='0' && tlfb_chew_use_c_l =='0' && tlfb_cigar_use_c_l =='0' && tlfb_hookah_use_c_l =='0' && tlfb_pipes_use_c_l =='0' && tlfb_nicotine_use_c_l =='0') su_intent_youth7_l
Query path_alc_youth8_l Integer Recommended If one of your best friends were to offer you alcohol, would you try it? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_alc_l == '1' || tlfb_alc_c_l == '1') && ( tlfb_alc_sip_l == '0' && tlfb_alc_sip_c_l == '0') su_intent_youth8_l
Query path_alc_youth9_l Integer Recommended If one of your best friends were to offer you marijuana, would you try it? 1 ; 2 ; 3 ; 4 ; 5 ; 6 1 = Definitely yes; 2 = Probably yes; 3 = Probably not; 4 = Definitely not; 5 = Don't know; 6 = Refused /( tlfb_mj_l == '1' || tlfb_mj_c_l == '1') && tlfb_mj_puff_l =='0' && tlfb_mj_conc_use_l =='0' && tlfb_mj_drink_use_l =='0' && tlfb_tincture_use_l =='0' && tlfb_mj_puff_c_l =='0' && tlfb_mj_conc_use_c_l =='0' && tlfb_mj_drink_use_c_l =='0' && tlfb_tincture_use_c_l =='0' su_intent_youth9_l
Query phs_1_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try one or two drinks of an alcoholic beverage (beer, wine, liquor)? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l == '1' su_phs_1
Query phs_2_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they take one or two drinks nearly every day? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l == '1' su_phs_2
Query phs_3_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they have five or more drinks of an alcoholic beverage, once or twice each weekend? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_alc_l =='1' || tlfb_alc_c_l == '1' su_phs_3
Query phs_4_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try one or two cigarettes? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_phs_4
Query phs_5_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they smoke cigarettes occasionally? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_phs_5
Query phs_6_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they smoking one or more packs of cigarettes per day? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_phs_6
Query phs_7_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they use e-cigarettes regularly? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_phs_7
Query phs_8_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they use smokeless tobacco regularly? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_tob_l == '1' || tlfb_tob_c_l == '1' su_phs_8
Query phs_9_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try marijuana once or twice? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_phs_9
Query phs_10_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they use marijuana occasionally? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_phs_10
Query phs_11_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they use marijuana regularly? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_mj_l == '1' || tlfb_mj_c_l == '1' su_phs_11
Query phs_12_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try liquid, sprays, and gases that people sniff or inhale to get high (such as gasoline, glue, and nitrous oxide) once or twice? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_inhalant_l =='1' || tlfb_inhalant_c_l =='1' su_phs_12
Query phs_13_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try prescription pain relievers (such as Vicodin, hydrocodone, and Oxycontin; not over the counter drugs like Tylenol) in a way that a doctor did not direct them to use it once or twice? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_phs_13
Query phs_14_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try prescription use of tranquilizers to relax people (such as Xanax or Ativan) in a way a doctor did not direct them to use it once or twice? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_phs_14
Query phs_15_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try prescription stimulants (such as Adderall or Ritalin) in a way a doctor did not direct them to use it once or twice? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_rx_misuse_l == '1' || tlfb_rx_misuse_c_l == '1' su_phs_15
Query phs_16_y Integer Recommended How much do you think people risk harming themselves (physically or in other ways) if they try other drugs like cocaine, heroin, or methamphetamine? 0 ; 1 ; 2 ; 3 ; 999 0 = No Risk; 1 = Slight Risk; 2 = Moderate Risk; 3 = Great Risk; 999 = Don't Know / tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___1 == '1' || tlfb_list_l___2 == '1' || tlfb_list_l___3 == '1' || tlfb_list_l___4 == '1' || tlfb_list_l___5 == '1' || tlfb_list_l___6 == '1' || tlfb_list_l___7 == '1' || tlfb_list_l___8 == '1' || tlfb_list_l___9 == '1' || tlfb_list_l___10 == '1' || tlfb_list_l___11 == '1' || tlfb_list_l___12 == '1' su_phs_16
su_sry_1 Integer Recommended Cigarettes 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_2 Integer Recommended Alcohol (beer, wine, or liquor) 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_3 Integer Recommended Marijuana (cannabis, weed) 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_4 Integer Recommended Inhalants (gas, glue, nitrous oxide) 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_5 Integer Recommended Electronic nicotine or vaping products, such as e-cigarettes, vape pens, or Juuls 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_6 Integer Recommended Prescription stimulants (such as Adderall or Ritalin) that were not prescribed to them by a doctor. 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_7 Integer Recommended Prescription anxiolytics (such as Xanax and Ativan) that were not prescribed to them by a doctor 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_8 Integer Recommended Prescription pain relievers (such as Vicodin, hydrocodone, or Oxycontin) that were not prescribed to them by a doctor. 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_9 Integer Recommended Other drugs not listed yet, like cocaine, heroin, or LSD. 0::5 0=None ; 1=Less than once a month ; 2=A Few Times a Month ; 3=A Few Times a Week ; 4=Every Day or Nearly Daily ; 5=Don't Know [su_sry_gate]=1
su_sry_give_1 Integer Recommended Cigarettes 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_1]=1 or [su_sry_1]=2 or [su_sry_1]=3 or [su_sry_1]=4
su_sry_give_2 Integer Recommended Alcohol (beer, wine, or liquor) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_2]=1 or [su_sry_2]=2 or [su_sry_2]=3 or [su_sry_2]=4
su_sry_give_3 Integer Recommended Marijuana (cannabis, weed) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_3]=1 or [su_sry_3]=2 or [su_sry_3]=3 or [su_sry_3]=4
su_sry_give_4 Integer Recommended Inhalants (gas, glue, nitrous oxide) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_4]=1 or [su_sry_4]=2 or [su_sry_4]=3 or [su_sry_4]=4
su_sry_give_5 Integer Recommended Electronic nicotine or vaping products, such as e-cigarettes, vape pens, or Juuls 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_5]=1 or [su_sry_5]=2 or [su_sry_5]=3 or [su_sry_5]=4
su_sry_give_6 Integer Recommended Prescription stimulants (such as Adderall or Ritalin) that were not prescribed to them by a doctor. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_6]=1 or [su_sry_6]=2 or [su_sry_6]=3 or [su_sry_6]=4
su_sry_give_7 Integer Recommended Prescription anxiolytics (such as Xanax and Ativan) that were not prescribed to them by a doctor 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_7]=1 or [su_sry_7]=2 or [su_sry_7]=3 or [su_sry_7]=4
su_sry_give_8 Integer Recommended Prescription pain relievers (such as Vicodin, hydrocodone, or Oxycontin) that were not prescribed to them by a doctor. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_8]=1 or [su_sry_8]=2 or [su_sry_8]=3 or [su_sry_8]=4
su_sry_give_9 Integer Recommended Other drugs not listed yet, like cocaine, heroin, or LSD. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_9]=1 or [su_sry_9]=2 or [su_sry_9]=3 or [su_sry_9]=4
su_sry_seen_1 Integer Recommended Cigarettes 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_1]=1 or [su_sry_1]=2 or [su_sry_1]=3 or [su_sry_1]=4
su_sry_seen_2 Integer Recommended Alcohol (beer, wine, or liquor) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_2]=1 or [su_sry_2]=2 or [su_sry_2]=3 or [su_sry_2]=4
path_alc_youth1a_l Integer Recommended Have you ever been curious about using a cigarette? 1::6 1=Very curious ; 2=Somewhat curious ; 3=A little curious ; 4=Not at all curious ; 5=Don't Know ; 6=Refused ([tlfb_tob_puff_l] !='1' and [tlfb_chew_use_l] !='1' and [tlfb_tob_puff_c_l] !='1' and [tlfb_chew_use_c_l] !='1') and ([event-name] = '3_year_follow_up_y_arm_1' or [event-name] = '4_year_follow_up_y_arm_1')
su_sry_seen_3 Integer Recommended Marijuana (cannabis, weed) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_3]=1 or [su_sry_3]=2 or [su_sry_3]=3 or [su_sry_3]=4
su_sry_seen_4 Integer Recommended Inhalants (gas, glue, nitrous oxide) 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_4]=1 or [su_sry_4]=2 or [su_sry_4]=3 or [su_sry_4]=4
su_sry_seen_5 Integer Recommended Electronic nicotine or vaping products, such as e-cigarettes, vape pens, or Juuls 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_5]=1 or [su_sry_5]=2 or [su_sry_5]=3 or [su_sry_5]=4
su_sry_seen_6 Integer Recommended Prescription stimulants (such as Adderall or Ritalin) that were not prescribed to them by a doctor. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_6]=1 or [su_sry_6]=2 or [su_sry_6]=3 or [su_sry_6]=4
su_sry_seen_7 Integer Recommended Prescription anxiolytics (such as Xanax and Ativan) that were not prescribed to them by a doctor 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_7]=1 or [su_sry_7]=2 or [su_sry_7]=3 or [su_sry_7]=4
su_sry_seen_8 Integer Recommended Prescription pain relievers (such as Vicodin, hydrocodone, or Oxycontin) that were not prescribed to them by a doctor. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_8]=1 or [su_sry_8]=2 or [su_sry_8]=3 or [su_sry_8]=4
su_sry_seen_9 Integer Recommended Other drugs not listed yet, like cocaine, heroin, or LSD. 0::2;999 0=Never ; 1=Just a few times ; 2=Many times ; 999=Don't Know [su_sry_9]=1 or [su_sry_9]=2 or [su_sry_9]=3 or [su_sry_9]=4
sua_admin Integer Recommended Please indicate how instrument was administered: 1::3 1=RA-Administered ; 2=Youth Self_Administered ; 3=Combination [sched_delay] = '7'
path_alc_youth1b_l Integer Recommended Have you ever been curious about using an electronic nicotine or vaping product 1::6 1=Very curious ; 2=Somewhat curious ; 3=A little curious ; 4=Not at all curious ; 5=Don't Know ; 6=Refused ([tlfb_tob_puff_l] !='1' and [tlfb_chew_use_l] !='1' and [tlfb_tob_puff_c_l] !='1' and [tlfb_chew_use_c_l] !='1') and ([event-name] = '3_year_follow_up_y_arm_1' or [event-name] = '4_year_follow_up_y_arm_1')
path_alc_youth4a_l Integer Recommended Do you think you will try a cigarette soon? 1::6 1=Definitely yes ; 2=Probably yes ; 3=Probably not ; 4=Definitely not ; 5=Don't know ; 6=Refused ([tlfb_tob_puff_l] !='1' and [tlfb_chew_use_l] !='1' and [tlfb_tob_puff_c_l] !='1' and [tlfb_chew_use_c_l] !='1') and ([event-name] ='3_year_follow_up_y_arm_1' or [event-name] ='4_year_follow_up_y_arm_1')
path_alc_youth4b_l Integer Recommended Do you think you will try an electronic nicotine or vaping product 1::6 1=Definitely yes ; 2=Probably yes ; 3=Probably not ; 4=Definitely not ; 5=Don't know ; 6=Refused ([tlfb_tob_puff_l] !='1' and [tlfb_chew_use_l] !='1' and [tlfb_tob_puff_c_l] !='1' and [tlfb_chew_use_c_l] !='1') and ([event-name] ='3_year_follow_up_y_arm_1' or [event-name] ='4_year_follow_up_y_arm_1')
path_alc_youth7a_l Integer Recommended If one of your best friends were to offer you a cigarette 1::6 1=Definitely yes ; 2=Probably yes ; 3=Probably not ; 4=Definitely not ; 5=Don't know ; 6=Refused ([tlfb_tob_puff_l] !='1' and [tlfb_chew_use_l] !='1' and [tlfb_tob_puff_c_l] !='1' and [tlfb_chew_use_c_l] !='1') and ([event-name] ='3_year_follow_up_y_arm_1' or [event-name] ='4_year_follow_up_y_arm_1')
path_alc_youth7b_l Integer Recommended If one of your best friends were to offer you an electronic nicotine or vaping product 1::6 1=Definitely yes ; 2=Probably yes ; 3=Probably not ; 4=Definitely not ; 5=Don't know ; 6=Refused ([tlfb_tob_puff_l]!='1' and [tlfb_chew_use_l]!='1' and [tlfb_tob_puff_c_l]!='1' and [tlfb_chew_use_c_l]!='1') and ([event-name] ='3_year_follow_up_y_arm_1' or [event-name] ='4_year_follow_up_y_arm_1')
su_sry_gate Integer Recommended Do you have any older siblings 0;1 0=No ; 1=Yes [event-name] = ''3_year_follow_up_y_arm_1'' or [event-name] = ''4_year_follow_up_y_arm_1''
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)
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