This study investigates the longitudinal heritability in Thought Problems (TP) as measured with ten items from the Adult Self Report (ASR). There were ~9,000 twins, ~2,000 siblings and ~3,000 additional family members who participated in the study and who are registered at the Netherlands Twin Register. First an exploratory factor analysis was conducted to examine the underlying factor structure of the TP-scale. Then the TP-scale was tested for measurement invariance (MI) across age and sex. Next, genetic and environmental influences were modeled on the longitudinal development of TP across three age groups (12-18, 19-27 and 28-59 year olds) based on the twin and sibling relationships in the data. An exploratory factor analysis yielded a one-factor solution, and MI analyses indicated that the same TP-construct is assessed across age and sex. Two additive genetic components influenced TP across age: the first influencing TP throughout all age groups, while the second arises during young adulthood and stays significant throughout adulthood. The additive genetic components explained 37% of the variation across all age groups. The remaining variance (63%) was explained by unique environmental influences. The longitudinal phenotypic correlation between these age groups was entirely explained by the additive genetic components. We conclude that the TP-scale measures a single underlying construct across sex and different ages. These symptoms are significantly influenced by additive genetic factors from adolescence to late adulthood.
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http://dx.doi.org/10.1007/s10519-011-9478-x | DOI Listing |
J Med Internet Res
January 2025
Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.
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January 2025
University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Background: Black adults in the United States experience disproportionately high rates of tobacco- and obesity-related diseases, driven in part by disparities in smoking cessation and physical activity. Smartphone-based interventions with financial incentives offer a scalable solution to address these health disparities.
Objective: This study aims to assess the feasibility and preliminary efficacy of a mobile health intervention that provides financial incentives for smoking cessation and physical activity among Black adults.
Vasc Biol
January 2025
K Landers, Psychology, University of Arkansas at Little Rock, Little Rock, United States.
Blood flow restriction exercise (BFRE) is a therapeutic approach traditionally used to facilitate muscular strength and hypertrophy. Emerging evidence has identified its benefits on other systems and metabolic processes. The emphasis of this study was to examine potential impact of BFRE on serum levels of tissue plasminogen activator (tPA).
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Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China.
This study explored the structure and temporal evolution of the relationship among depression, maladaptive cognition, and internet addiction (DMI) among university students by focusing on topological and dynamic properties in a network analysis. A 3-year longitudinal survey was conducted with 873 university students (M = 18.32, SD = 0.
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Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Little is known about the impact of recent advances in acute myeloid leukemia (AML) treatment on racial/ethnic disparities in survival outcomes. We performed a retrospective cohort study of patients with newly diagnosed AML using data from a nationwide electronic health record-derived deidentified database. Patients were categorized based on their diagnosis date relative to venetoclax approval, as pre-novel therapy era (Pre era; 2014-2018; n = 2998) or post-novel therapy era (Post era; 2019-2022; n = 2098).
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