Different risk and protective factors predict change of planning ability in middle versus older age
Year: 2024
Type: article
Study design: Observational Study
Abstract: Age-related cognitive decline has become an increasingly relevant public health issue. However, risk and protective factors of cognitive decline have yet to be investigated prospectively taking into account genetic, lifestyle, physical and mental health factors. Population-based data from middle-aged (40 to 59 years; N = 2,764) and older individuals (60 to 80 years; N = 1,254) were drawn from a prospective community cohort study using the Tower of London (TOL) planning task. Assessments were repeated at a 5-year interval to investigate age-related changes in planning performance and to determine the impact of risk and protective factors. Planning performance improved in middle-aged, but declined in older participants over 5 years. SNPs affecting the dopamine system (COMT, DRD2) and APOE polymorphisms differentially predicted cognitive performance in older vs. middle-aged individuals. For older individuals, high alcohol consumption, antidepressant medication and living without a partner had additional negative predictive power on cognition. In contrast, undiagnosed hypertension, no obstructive lung disease, and fewer years of education predicted cognitive decline in the middle-aged group. The results inform screening for individuals particularly vulnerable to cognitive decline and interventions (e.g., focusing on lifestyle factors) to help maintain cognitive performance into old age.
Source: Scientific Reports
Institutions: University of Freiburg, University Medical Center of the Johannes Gutenberg University Mainz, Justus-Liebig-Universität Gießen, University of Klagenfurt, University of Education Freiburg, Johannes Gutenberg University Mainz, German Centre for Cardiovascular Research, Leibniz Institute for Resilience Research, Institute of Molecular Biology
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W4403778003
