The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cohort Profile: Wisconsin longitudinal study (WLS)
Open accessAbstract
The Wisconsin Longitudinal Study (WLS) is a longitudinal study of men and women who graduated from Wisconsin high schools in 1957 and one of their randomly selected siblings. Wisconsin is located in the upper midwest of the United States and had a population of approximately 14 000 000 in 1957, making it the 14th most populous state at that time. Data spanning almost 60 years allow researchers to link family background, adolescent characteristics, educational experiences, employment experiences, income, wealth, family formation and social and religious engagement to midlife and late-life physical health, mental health, psychological well-being, cognition, end of life planning and mortality. The WLS is one of the few longitudinal data sets that include an administrative measure of cognition from childhood. Further, recently collected saliva samples allow researchers to explore the inter-relationships among genes, behaviours and environment, including genetic determinants of behaviours (e.g. educational attainment); the interactions between genes and environment; and how these interactions predict behaviours. Most panel members were born in 1939, and the sample is broadly representative of White, non-Hispanic American men and women who have completed at least a high school education. Siblings cover several adjoining cohorts: they were born primarily between 1930 and 1948. At each interview, about two-thirds of the sample lived in Wisconsin, and about one-third lived elsewhere in the United States or abroad. The data, along with documentation, are publicly accessible and can be accessed at http://www.ssc.wisc.edu/wlsresearch/. Requests for protected data or assistance should be sent to wls@ssc.wisc.edu.
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Cites
Child abuse: Adolescent records vs. adult recall
Femina, D. D., Yeager, C. A., & Lewis, D. O. (1990) · Child Abuse & Neglect · doi:10.1016/0145-2134(90)90033-p · Cited by 8,820
Springer, K. W., Sheridan, J., Kuo, D., & Carnes, M. (2007) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2007.01.003 · Cited by 964
Social Relationships, Gender, and Allostatic Load Across Two Age Cohorts
Seeman, T. E., Singer, B. H., Ryff, C. D., Dienberg Love, G., & Levy-Storms, L. (2002) · Psychosomatic Medicine · doi:10.1097/00006842-200205000-00004 · Cited by 496
The long-term health outcomes of childhood abuse: An overview and a call to action
Springer, K. W., Sheridan, J., Kuo, D., & Carnes, M. (2003) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2003.20918.x · Cited by 299
Motives for volunteering are associated with mortality risk in older adults.
Konrath, S., Fuhrel-Forbis, A., Lou, A., & Brown, S. (2012) · Health Psychology · doi:10.1037/a0025226 · Cited by 268
Cited by
Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01016-z · Cited by 654
Self-citationGenetic analysis of social-class mobility in five longitudinal studies
Belsky, D. W., Domingue, B. W., Wedow, R., Arseneault, L., Boardman, J. D., Caspi, A., Conley, D., Fletcher, J. M., Freese, J., Herd, P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801238115 · Cited by 315
“We next tested the replication of polygenic score associations with social mobility in a cohort of 1957 highschool graduates and their siblings, the WLS (n = 7,111 participants of European descent with genetic and attainment data) (40).”
BackgroundSelf-citationEpidemiology of Obesity in Adults: Latest Trends
Inoue, Y., Qin, B., Poti, J., Sokol, R., & Gordon-Larsen, P. (2018) · Current Obesity Reports · doi:10.1007/s13679-018-0317-8 · Cited by 308
Aging and Caloric Restriction Research: A Biological Perspective with Translational Potential
Balasubramanian, P., Howell, P. R., & Anderson, R. M. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.06.015 · Cited by 148
Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech
Luz, S., Haider, F., de la Fuente Garcia, S., Fromm, D., & MacWhinney, B. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.780169 · Cited by 104
“They incorporated a new corpus of Cookie Theft picture descriptions (HC (cid:1) 839, NC 115) from the Wisconsin Longitudinal Study (Herd et al., 2014) to train a BERT model and demonstrated improved performance on the detection task compared with results of the model trained on the ADReSS data alone (82.1% vs 79.8, ac…”
MethodInfluential
Metadata
- Authors
- Herd, P., Carr, D., & Roan, C.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-02-01
- Volume
- 43
- Issue
- 1
- Pages
- 34-41
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2087575310
- Cited by
- 257
- References
- 5
- FWCI
- 15.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.