scholarly journals The Oslo University Adolescent and Young Adult Twin Project: Recruitment and Attrition

2019 ◽  
Vol 22 (6) ◽  
pp. 641-646
Author(s):  
Svenn Torgersen ◽  
Trine Waaktaar

AbstractThe Oslo University Adolescent and Young Adult Twin Project started in 2006 with the first of three questionnaire data collection waves, 2 years apart. All twins from the birth cohorts 1988–1994 were invited to participate, and both the twins and their parents were asked to sign consent forms. The twins were 12–18 years old at Wave 1, at which time parents were asked to complete similar questionnaires. The parents’ questionnaire enquired about the parents’ ratings of their twin’s traits. In addition, the parents answered questions regarding their own education, demographics and socioeconomic situation. When the twins were 18 years old, they were invited to a face-to-face interview and two new questionnaires were presented. The questionnaires for the waves included a number of personality scales, internalization and externalization traits, affective and behavioral problems, as well as measures of environment and coping. The most common DSM-IV mental disorders and all personality disorders were covered in the interview. Zygosity was established both by questionnaire and gene markers. The original sample consisted of 5374 twin families, and among these, 4668 pairs were alive and living in Norway. Of these, 2486 families (53.3%) consented to participate. Of these, again 1538 twin families (61.9%) actually participated in at least one wave and twins from 1422 pairs (57.3%) participated in the interview. Female gender, but not zygosity, predicted staying in the project. Moreover, having a planning, structured personality (being more conscientious, open to experience [i.e., curious and interested in learning], having higher resilience and better school habits) increased the chance of carrying on in the project. Interestingly, the attrition did not seem to bias the heritability estimates.

2019 ◽  
Vol 26 (5) ◽  
pp. 1041-1051
Author(s):  
Yukiko Staub ◽  
Yukio Suga ◽  
Yasuhiro Ikawa ◽  
Kiyotaka Tsubouchi ◽  
Mikie Hashimoto ◽  
...  

Background Corticosteroid-induced psychiatric disorders (CIPDs) represent an adverse effect that can cause severe emotional and behavioral problems. The aim of the present study was to assess the incidence and risk factors of CIPDs. Methods A retrospective analysis of 92 pediatric and young adult patients with hematologic malignancies was conducted. Results The incidence of CIPDs in patients receiving a treatment regimen with prednisolone or dexamethasone was 64.9% and 77.5%, respectively, both of which were significantly higher than that in patients not receiving corticosteroids. Independent risk factors and adjusted odds ratios (95% confidence intervals) related to severe CIPD were 2.15 (1.11–4.18) for dexamethasone (using prednisolone as the reference) and 0.81 (0.75–0.87) for age, suggesting that the odds increase with decreasing age. Frequently observed symptoms, respectively in terms of behavioral and emotional problems were defiance, crying, psychomotor excitement, dysphoria, irritability, and depression. To our knowledge, this is the first report to mention the risk factors and characteristics for clinical symptoms of CIPDs during the developmental process. Conclusions Healthcare professionals should predict and prepare for psychiatric adverse events prior to chemotherapy in the clinical settings, especially in patients in younger age and receiving a treatment regimen with dexamethasone.


2019 ◽  
Vol 22 (6) ◽  
pp. 794-799
Author(s):  
Nicole L. Schmidt ◽  
Kathryn Lemery-Chalfant ◽  
H. Hill Goldsmith

AbstractThe Wisconsin Twin Project encompasses nearly 30 years of longitudinal research that spans infancy to early adulthood. The twin sample was recruited from statewide birth records for birth cohorts 1989–2004. We summarize early recruitment, assessment, retention and recently completed twin neuroimaging studies. In addition to the focal twins, longitudinal data were also collected from two parents and nontwin siblings. Our adolescent and young adult neuroimaging sample (N = 600) completed several previous behavioral and environmental assessments, beginning shortly after birth. The extensive phenotyping is meant to support a range of empirical investigations with potentially differing theoretical perspectives.


2021 ◽  
pp. 881-896
Author(s):  
Anthony R. Kerlavage ◽  
Anne C. Kirchhoff ◽  
Jaime M. Guidry Auvil ◽  
Norman E. Sharpless ◽  
Kara L. Davis ◽  
...  

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute–funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.


2014 ◽  
Author(s):  
Dalnim Cho ◽  
Crystal L. Park ◽  
Alexis Berglund ◽  
Jack Olexovitch ◽  
Alexandra Snavely ◽  
...  

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