My da|ra Login

Detailed view

metadata language: English

Oregon Youth Substance Use Project (OYSUP), 1998-2010

Version
v2
Resource Type
Dataset : administrative records data, census/enumeration data, survey data
Creator
  • Andrews, Judy (Oregon Research Institute)
Other Title
  • Version 2 (Subtitle)
Publication Date
2013-03-29
Funding Reference
  • National Institute of Drug Abuse
Language
English
Free Keywords
alcohol consumption; biomeasures; census tract level; demographic characteristics; drug use; educators; family relationships; health attitudes; mental health; parent child relationship; parents; risk factors; sexual behavior; social environment; student attitudes; student behavior; student evaluation; substance abuse; tobacco use; youths
Description
  • Abstract

    The Oregon Youth Substance Use Project (OYSUP) began in 1998, with the recruitment of 1,075 first through fifth graders within a single school district in a working class community in western Oregon. OYSUP is an extensive etiological study that provides a multi-method annual assessment of etiological factors from a variety of contextual (including family, peer, neighborhood and school) and individual (personality, biological influences) domains, predictive of children's cognitions regarding substance use, their own substance use and their at-risk sexual behaviors (beginning in middle school). This unique study follows a representative sample of youth with approximately annual assessments from early childhood, through adolescence, and into emerging adulthood (at age 20-22). The primary objective of the original project and its renewals is to identify risk and protective factors predictive of or comorbid with the development of substance use and at-risk sexual behaviors. Quantitative survey data was collected from each respondent from 1998 to 2010. Within the aims of the original OYSUP study and the two subsequent renewals (one of which is ongoing), participants and their parents were followed annually until they were one-year post-high school, with an additional intensive assessment at age 20-22. In each year, the target participant and their parents completed assessments. The intensive assessment at age 20-22 included a diagnostic interview with the target participants and an assessment of cortisol reactivity in response to acute stress. During the school years, teachers completed assessments assessing their student's behavior, and school records for most students were obtained each year. In addition, principals in elementary schools completed school climate assessments and census data is used to obtain measures of neighborhood climate. Finally, respondents' demographic information was also collected.
  • Abstract

    This study has 8 specific aims: (1) To examine the developmental progression of intentions, in the early grades, and use of substances across the school years (grades 1 through 12) and one-year post-high school. (2) To examine the impact of key life transitions on changes in substance use, and the processes by which these transitions lead to changes in substance use, namely (a) the transition to middle school, (b) the transition to high school, and (c) pubertal maturation and the timing of pubertal maturation. (3) To examine the effect of demographic, personal, familial, peer, school, and neighborhood factors, on the development of use of alcohol, tobacco, marijuana, and inhalants, as well as on the development of other problem behaviors and health-risk behaviors related to substance use. (4) Examine the concurrent and across time associations of substance use with high risk sexual behavior and problem behaviors in mid adolescence to emerging adulthood to identify predictors of the covariation in these behaviors. (5) Predict high risk sexual behaviors from individual trajectories of substance use and identify processes that explain the relationship between these behaviors. (6) To further our understanding of the relation between childhood stress and stress in emerging adulthood, and substance use and abuse/dependence and high risk sexual behavior. (7) To further our understanding of the relation of substance use to the assumption of "adult" roles in emerging adulthood. (8) The Principal Investigator proposed to assess the generalizability of models of substance use and HIV/AIDS risk behavior developed within the sample(s) of the study. For further details about the purpose of the study, please refer to Chapter 1, Section 1.2 of the User Guide.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
  • Methods

    Presence of Common Scales: Please refer to the Crosswalk/Scales Construction documents to see how scales are constructed.
  • Methods

    Response Rates: For a detailed report on response rates, please see attrition information in Chapter 2 of the User Guide and refer to Tables 2.1, 2.2, and 2.3 for sample size by cohort by grade by assessment.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Census Tract
    • DS2: Principal Climate Interview - Year 1
    • DS3: Principal Climate Interview - Year 2
    • DS4: Principal Climate Interview - Year 4
    • DS5: Principal Climate Interview - Year 5
    • DS6: Principal Climate Interview - Year 6
    • DS7: Principal Climate Interview - Year 7
    • DS8: Principal Climate Interview - Year 8
    • DS9: Teacher Climate Interview - Year 1
    • DS10: Teacher Climate Interview - Year 2
    • DS11: Teacher Climate Interview - Year 3
    • DS12: Teacher Climate Interview - Year 4
    • DS13: Teacher Climate Interview - Year 5
    • DS14: Teacher Climate Interview - Year 6
    • DS15: Teacher Assessment Interview - Year 1
    • DS16: Teacher Assessment Interview - Year 2
    • DS17: Teacher Assessment Interview - Year 3
    • DS18: Teacher Assessment Interview - Year 4
    • DS19: Teacher Assessment Interview - Year 5
    • DS20: Teacher Assessment Interview - Year 6
    • DS21: Teacher Assessment Interview - Year 7
    • DS22: Teacher Assessment Interview - Year 8
    • DS23: Teacher Scales - Year 1
    • DS24: Teacher Scales - Year 2
    • DS25: Teacher Scales - Year 3
    • DS26: Teacher Scales - Year 4
    • DS27: Teacher Scales - Year 5
    • DS28: Teacher Scales - Year 6
    • DS29: Teacher Scales - Year 7
    • DS30: Teacher Scales - Year 8
    • DS31: Student Academic Records - Year 1
    • DS32: Student Academic Records - Year 2
    • DS33: Student Academic Records - Year 3
    • DS34: Student Academic Records - Year 4
    • DS35: Student Academic Records - Year 5
    • DS36: Student Academic Records - Year 6
    • DS37: Student Academic Records - Year 7
    • DS38: Student Academic Records - Year 8
    • DS39: Youth Assessment Interview - Year 1
    • DS40: Youth Assessment Interview - Year 2
    • DS41: Youth Assessment Interview - Year 3
    • DS42: Youth Assessment Interview - Year 4
    • DS43: Youth Assessment Interview - Year 5
    • DS44: Youth Assessment Interview - Year 6
    • DS45: Youth Assessment Interview - Year 7
    • DS46: Youth Assessment Interview - Year 8
    • DS47: Youth Assessment Interview - Year 9
    • DS48: Youth Assessment Interview - Year 10
    • DS49: Youth Assessment Interview - Year 11
    • DS50: Youth Scales - Year 1
    • DS51: Youth Scales - Year 2
    • DS52: Youth Scales - Year 3
    • DS53: Youth Scales - Year 4
    • DS54: Youth Scales - Year 5
    • DS55: Youth Scales - Year 6
    • DS56: Youth Scales - Year 7
    • DS57: Youth Scales - Year 8
    • DS58: Youth Scales - Year 9
    • DS59: Youth Scales - Year 10
    • DS60: Youth Scales - Year 11
    • DS61: Parents Assessment Interview - Year 1
    • DS62: Parents Assessment Interview - Year 2
    • DS63: Parents Assessment Interview - Year 3
    • DS64: Parents Assessment Interview - Year 4
    • DS65: Parents Assessment Interview - Year 5
    • DS66: Parents Assessment Interview - Year 6
    • DS67: Parents Assessment Interview - Year 7
    • DS68: Parents Assessment Interview - Year 8
    • DS69: Parents Assessment Interview - Year 10
    • DS70: Parents Assessment Interview - Year 11
    • DS71: Parents Scales - Year 1
    • DS72: Parents Scales - Year 2
    • DS73: Parents Scales - Year 3
    • DS74: Parents Scales - Year 4
    • DS75: Parents Scales - Year 5
    • DS76: Parents Scales - Year 6
    • DS77: Parents Scales - Year 7
    • DS78: Parents Scales - Year 8
    • DS79: Parents Scales - Year 10
    • DS80: Parents Scales - Year 11
Temporal Coverage
  • 1998 / 2010
    Time period: 1998--2010
  • 1998 / 2010
    Collection date: 1998--2010
Geographic Coverage
  • Oregon
  • United States
Sampled Universe
Children in grades 1-5 randomly selected from a school district in a mid-size Oregon city in 1998 and their parents and teachers. Smallest Geographic Unit: census tract
Sampling
Fifteen of the 16 elementary schools in one western Oregon School District were recruited. Schools ranging in size (from 97 to 555; Mean = 335, s.d. = 151) and in SES, using an index based on proportion below the poverty level, mobility of served population, and mother's education of served population (index ranges from 77 to 668). The population was recruited from the total enrollment in grades 1 through 5, consisting of approximately 5,600 students. The community served by the district is a working class community of approximately 50,000, largely comprised of middle class and lower-middle class citizenry. However, a few schools serve primarily upper-middle class households and three schools served a rural population. Sampling was done in two stages. The first stage involved gaining parental permission to consider their children in the population. Passive consent procedures were used. In the second stage, using stratified random sampling, (by school, grade, gender, and racial/ethnic group) parents of 2,506 students in 15 elementary schools were sent a letter followed by a phone call describing the assessment procedures and asking for parents' active consent to allow their child to participate and agreeing to participate themselves with the restriction that only one child from each family (randomly selected) was included in the sampling frame. For further information, please refer to Chapter 2, Section 2.1 of the User Guide.
Collection Mode
  • face-to-face interview, mail questionnaire, paper and pencil interview (PAPI), on-site questionnaire, telephone interview

    The data for this study consists of nine groups of data files: Principal Climate; Teacher Climate; Teacher Assessment; Teacher Scales; Student Academic Records; Youth Assessment; Youth Scales; Parents Assessment; Parents Scales;

    In the original data deposit for this study, there were 215 data files divided into 11 waves (years). To reorganize the data into the nine groups listed in the first collection note, individual components were merged as necessary to create one data file per year per group. This method resulted in the total of 80 data files for this study.

    All the questionnaires for this study have been combined into a single document. There will be indications in this document when multiple questionnaires were used on a given year. Also, please note that there is a crosswalk of the variables across the years included in this document. Furthermore, please note that some questions in the earlier waves will not be included in the questionnaires for later waves, but some corresponding variables may remain in the data for additional waves.

    Biomarker data from two renewals for this study (NIDA award RC2DA028793) are not available as part of this data collection.

Note
2014-03-13 All files for the Student Questionnaire and Parent Questionnaire groups have been added to this data collection. Funding insitution(s): National Institute of Drug Abuse (R01DA010767).
Availability
Download
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 34263 (Type: ICPSR Study Number)
Relations
  • Is new version of
    DOI: 10.3886/ICPSR34263.v1
Publications
  • Hampson, Sarah E., Tildesley, Elizabeth, Andrews, Judy A., Barckley, Maureen, Peterson, Missy. Smoking trajectories across high school: Sensation seeking and hookah use. Nicotine and Tobacco Research.2013.
    • ID: 10.1093/ntr/nts338 (DOI)
  • Bergen, Andrew W., Mallick, Aditi, Nishita, Denise, Wei, Xin, Michel, Martha, Wacholder, Aaron, David, Sean P., Swan, Gary E., Reid, Mark W., Simons, Anne, Andrews, Judy A.. Chronic psychosocial stressors and salivary biomarkers in emerging adults. Psychoneuroendocrinology.37, (8), 1158-1170.2012.
    • ID: 10.1016/j.psyneuen.2011.11.010 (DOI)
  • Westling, Erika, Andrews, Judy A., Peterson, Missy. Gender differences in pubertal timing, social competence, and cigarette use: A test of the early maturation hypothesis. Journal of Adolescent Health.51, (2), 150-155.2012.
    • ID: 10.1016/j.jadohealth.2011.11.021 (DOI)
  • Andrews, Judy A., Hampson, Sarah, Peterson, Missy. Early adolescent cognitions as predictors of heavy alcohol use in high school. Addictive Behaviors.36, (5), 448-455.2011.
    • ID: 10.1016/j.addbeh.2010.12.011 (DOI)
  • Luyckx, Koen, Tildesley, Elizabeth A., Soenens, Bart, Andrews, Judy A., Hampson, Sarah E., Peterson, Missy, Duriez, Bart. Parenting and trajectories of children's maladaptive behaviors: A 12-year prospective community study. Journal of Clinical Child and Adolescent Psychology.40, (3), 468-478.2011.
    • ID: 10.1080/15374416.2011.563470 (DOI)
  • Lynne-Landsman, Sarah D., Graber, Julia A., Andrews, Judy A.. Do trajectories of household risk in childhood moderate pubertal timing effects on substance initiation in middle school?. Developmental Psychology.46, (4), 853-868.2010.
    • ID: 10.1037/a0019667 (DOI)
  • Andrews, Judy A., Hampson, Sarah E., Barckley, Maureen, Gerrard, Meg, Gibbons, Frederick X.. The effect of early cognitions on cigarette and alcohol use in adolescence. Psychology of Addictive Behaviors.22, (1), 96-106.2008.
    • ID: 10.1037/0893-164X.22.1.96 (DOI)
  • Andrews, Judy A., Hampson, Sarah, Barckley, Maureen. The effect of subjective normative social images of smokers on children's intentions to smoke. Nicotine and Tobacco Research.10, (4), 589-597.2008.
    • ID: 10.1080/14622200801975819 (DOI)
  • Hampson, Sarah E., Andrews, Judy A., Barckley, Maureen. Childhood predictors of adolescent marijuana use: Early sensation-seeking, deviant peer affiliation, and social images. Addictive Behaviors.33, (9), 1140-1147.2008.
    • ID: 10.1016/j.addbeh.2008.04.010 (DOI)
  • Tildesley, Elizabeth A., Andrews, Judy A.. The development of children's intentions to use alcohol: Direct and indirect effects of parent alcohol use and parenting behaviors. Psychology of Addictive Behaviors.22, (3), 326-339.2008.
    • ID: 10.1037/0893-164X.22.3.326 (DOI)
  • Westling, Erika, Andrews, Judy A., Hampson, Sarah E., Peterson, Missy. Pubertal timing and substance use: The effects of gender, parental monitoring and deviant peers. Journal of Adolescent Health.42, (6), 555-563.2008.
    • ID: 10.1016/j.jadohealth.2007.11.002 (DOI)
  • Hampson, Sarah E., Andrews, Judy A., Barckley, Maureen. Predictors of the development of elementary-school children's intentions to smoke cigarettes: Hostility, prototypes, and subjective norms. Nicotine and Tobacco Research.9, (7), 751-760.2007.
    • ID: 10.1080/14622200701397908 (DOI)
  • Hampson, Sarah E., Andrews, Judy A., Barckley, Maureen, Peterson, Missy. Trait stability and continuity in childhood: Relating sociability and hostility to the Five-Factor model of personality. Journal of Research in Personality.41, (3), 507-523.2007.
    • ID: 10.1016/j.jrp.2006.06.003 (DOI)
  • Hampson, Sarah E., Andrews, Judy A., Peterson, Missy, Duncan, Susan C.. A cognitive-behavioral mechanism leading to adolescent obesity: Children's social images and physical activity. Annals of Behavioral Medicine.34, (3), 287-294.2007.
    • ID: 10.1007/BF02874553 (DOI)
  • Andrews, Judy A., Peterson, Missy. The development of social images of substance users in children: A Guttman unidimensional scaling approach. Journal of Substance Use.11, (5), 305-321.2006.
    • ID: 10.1080/14659890500419774 (DOI)
  • Hampson, Sarah E., Andrews, Judy A., Barckley, Maureen, Severson, Herbert H.. Personality predictors of the development of elementary-school children's intentions to drink alcohol: The mediating effects of attitudes and subjective norms. Psychology of Addictive Behaviors.20, (3), 288-297.2006.
    • ID: 10.1037/0893-164X.20.3.288 (DOI)
  • Andrews, Judy A., Tildesley, Elizabeth, Hops Hyman, Duncan, Susan C., Severson, Herbert H.. Elementary school age children's future intentions and use of substances. Journal of Clinical Child and Adolescent Psychology.32, (4), 556-567.2003.
    • ID: 10.1207/S15374424JCCP3204_8 (DOI)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Andrews, Judy (2013): Oregon Youth Substance Use Project (OYSUP), 1998-2010. Version 2. Version: v2. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR34263.v2