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Full-Text Articles in Other Psychology
Air Pollution And The Dynamic Association Between Depressive Symptoms And Memory In Oldest-Old Women, Andrew J. Petkus, Diana Younan, Xinhui Wang, Daniel P. Beavers, Mark A. Espeland, Margaret Gatz, Tara Gruenewald, Joel D. Kaufman, Helena C. Chui, Joann E. Manson, Susan M. Resnick, Gregory A. Wellenius, Eric A. Whitsel, Keith Widaman, Jiu-Chiuan Chen
Air Pollution And The Dynamic Association Between Depressive Symptoms And Memory In Oldest-Old Women, Andrew J. Petkus, Diana Younan, Xinhui Wang, Daniel P. Beavers, Mark A. Espeland, Margaret Gatz, Tara Gruenewald, Joel D. Kaufman, Helena C. Chui, Joann E. Manson, Susan M. Resnick, Gregory A. Wellenius, Eric A. Whitsel, Keith Widaman, Jiu-Chiuan Chen
Psychology Faculty Articles and Research
BACKGROUND/OBJECTIVES
Exposure to air pollution may contribute to both increasing depressive symptoms and decreasing episodic memory in older adulthood, but few studies have examined this hypothesis in a longitudinal context. Accordingly, we examined the association between air pollution and changes in depressive symptoms (DS) and episodic memory (EM) and their interrelationship in oldest-old (aged 80 and older) women.
DESIGN
Prospective cohort data from the Women's Health Initiative Memory Study-Epidemiology of Cognitive Health Outcomes.
SETTING
Geographically diverse community-dwelling population.
PARTICIPANTS
A total of 1,583 dementia-free women aged 80 and older.
MEASUREMENTS
Women completed up to six annual memory assessments (latent composite …
Affect Variability And Predictability: Using Recurrence Quantification Analysis To Better Understand How The Dynamics Of Affect Relate To Health, Brooke N. Jenkins, John F. Hunter, Michael J. Richardson, Tamlin S. Conner, Sarah D. Pressman
Affect Variability And Predictability: Using Recurrence Quantification Analysis To Better Understand How The Dynamics Of Affect Relate To Health, Brooke N. Jenkins, John F. Hunter, Michael J. Richardson, Tamlin S. Conner, Sarah D. Pressman
Psychology Faculty Articles and Research
Changes in affect over time have been associated with health outcomes. However, previously utilized measurement methods focus on variability of affect (e.g., standard deviation, root mean squared successive difference) and ignore the more complex temporal patterns of affect over time. These patterns may be an important feature in understanding how the dynamics of affect relate to health. Recurrence quantification analysis (RQA) may help alleviate this problem by assessing temporal characteristics unassessed by past methods. RQA metrics, such as determinism and recurrence, can provide a measure of the predictability of affect over time, indexing how often patterns within affective experiences repeat. …