Several additional data collection activities are essential for the projects proposed herein. These data will extend the range of studies that WLS researchers and other scholars may undertake using the WLS and related data resources. The Complementary Data Collection and Management Core of the Wisconsin Longitudinal Study (WLS), hereafter, the Data Collection Core, is responsible for accessing, creating, and documenting new survey and other complementary data for users of the WLS. The non-survey data will include administrative records and pilot collection of biomedical data. The survey data will include those obtained from complementary projects, e.g., Project 2, """"""""Psychological Aging in Context: Personality, Psychological Well-Being &Distress."""""""" The project leader and PI will collaborate with the co-leader, the WLS data manager, a project scientist, a programmer-analyst, and other project staff to accomplish these goals. Operational priorities for the Data and Outreach Core will be developed with advice from WLS investigators with specific expertise and from the WLS Steering Committee (see Core A), in consultation with the Data Monitoring Board. The goals and activities of the Data Collection Core are to coordinate interviews with survivors of recently deceased graduates and siblings (Project 2);match WLS records for graduates and siblings born in Wisconsin to state vital statistics records;link records of WLS graduates, siblings, and parents to additional years (post-2006) of the National Death Index (NDI-Plus);store, manage, and code bio- markers (DNA) from samples of graduates and siblings;link WLS records to the Wisconsin state tumor registry;link respondent locations to local health resources using Area Resource File and Interstudy data; scan, code, and manage images and other data from high school yearbooks;link WLS records to Wisconsin Worker's Compensation records after 2002;complete the geocoding of addresses of WLS participants throughout the course of the study and link them to local area data;code data from audio (and video) recordings;and assess Internet skills in a select subsample of WLS participants.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG021079-08
Application #
8312565
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
2014-06-30
Budget Start
2011-08-15
Budget End
2013-06-30
Support Year
8
Fiscal Year
2011
Total Cost
$129,397
Indirect Cost
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Stephan, Yannick; Sutin, Angelina R; Bayard, Sophie et al. (2018) Personality and sleep quality: Evidence from four prospective studies. Health Psychol 37:271-281
Namkung, Eun Ha; Greenberg, Jan S; Mailick, Marsha R et al. (2018) Lifelong Parenting of Adults With Developmental Disabilities: Growth Trends Over 20 Years in Midlife and Later Life. Am J Intellect Dev Disabil 123:228-240
Stephan, Yannick; Sutin, Angelina R; Canada, Brice et al. (2017) Personality and Frailty: Evidence From Four Samples. J Res Pers 66:46-53
Rhodes, Emma; Devlin, Kathryn N; Steinberg, Laurence et al. (2017) Grit in adolescence is protective of late-life cognition: non-cognitive factors and cognitive reserve. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 24:321-332
Pink, Katharina E; Schaman, Anna; Fieder, Martin (2017) Sex Differences in Intergenerational Income Transmission and Educational Attainment: Testing the Trivers-Willard Hypothesis. Front Psychol 8:1879
Denier, Nicole; Clouston, Sean A P; Richards, Marcus et al. (2017) Retirement and Cognition: A Life Course View. Adv Life Course Res 31:11-21
Graham, Eileen K; Rutsohn, Joshua P; Turiano, Nicholas A et al. (2017) Personality Predicts Mortality Risk: An Integrative Data Analysis of 15 International Longitudinal Studies. J Res Pers 70:174-186
Reifman, Alan; Oblad, Timothy; Niehuis, Sylvia (2017) Long-Term Psychological Health among Individuals Pursuing Emerging Adulthood-Type Pathways in the 1950s and 1960s. J Adult Dev 24:119-132
Mailick, Marsha; Hong, Jinkuk; Greenberg, Jan et al. (2017) FMR1 genotype interacts with parenting stress to shape health and functional abilities in older age. Am J Med Genet B Neuropsychiatr Genet 174:399-412
Gonzales, Tina K; Yonker, James A; Chang, Vicky et al. (2017) Myocardial infarction in the Wisconsin Longitudinal Study: the interaction among environmental, health, social, behavioural and genetic factors. BMJ Open 7:e011529

Showing the most recent 10 out of 125 publications