Life expectancy is approximately 20 years shorter in schizophrenia and 10 years shorter in mood disorder with psychosis than in the general population, which is almost entirely due to natural-cause mortality. One proposed explanation is that psychotic disorders are associated with accelerated aging. Substantial evidence indicates that this population experiences premature declines in three functional domains: internal (i.e., age- related medical disorders), cognitive, and physical. However, it is unknown whether these declines are explainable by exposure to risk factors highly elevated in psychotic disorders (obesity, poverty, smoking, low physical activity, poor diet, inadequate medical care, etc) or are also due to pathophysiology of psychosis itself. Indeed, biological processes associated with psychosis?genetic, neural (P3 and mismatch negativity), and allostatic load (metabolic problems, increased inflammation, hypothalamic-pituitary-adrenal axis dysregulation, and hypertension)?were found to predict accelerated aging in the general population, but this has not been tested in psychotic disorders. Moreover, it remains uncertain when accelerated aging starts and how rapidly it progresses, as prior studies typically began with older patients. Prevention of premature aging in psychotic disorders would extend life and improve health of millions of people, but it is unclear how to target such efforts, because fundamental information is lacking on trajectories of aging and their determinants in psychosis. The Suffolk County Mental Health Project (SCMHP; MH094398) offers a unique opportunity to fill these crucial gaps. It is the only US epidemiologic study designed to examine health, cognition, and physical performance in psychotic disorders over 27 years following first admission (from mean age 30 to 57). In addition, the study has gathered a wealth of information on premorbid risk factors. It also includes a geographically and demographically matched never-psychotic comparison group. Thorough assessments of cases were done 6 times during the first two decades. At Year 20 (mean age 49), both case (N=385) and never-psychotic (N=261) groups completed a comprehensive psychiatric evaluation, medical history, physical performance tests, anthropometric exam, cognitive testing, event-related potentials battery, assays of blood samples, and genotyping. The present proposal is to reassess cases and never-psychotic participants at ages 54 and 57 to trace divergence of aging trajectories during a pivotal period (age 49 to 57, when medical morbidity is expected to double and cognitive and physical functioning begin to decline) and identify risk factors and biological vulnerabilities that help to determine what path aging takes. This innovative design will enable us to clarify when and why aging is accelerated in psychotic disorders, and where interventions can be applied most productively to extend life expectancy and health of this population.

Public Health Relevance

The aim of this project is to investigate premature aging in serious mental illnesses, such as schizophrenia and bipolar disorder, over 27 years and to the identify factors that lead to better or worse outcomes. This research will produce a detailed and unbiased picture of age-related changes in health, intellectual abilities, and physical capabilities. This information can guide improvement in care for the serious mental illness and prevention of premature mortality.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH110434-01
Application #
9155892
Study Section
Adult Psychopathology and Disorders of Aging Study Section (APDA)
Program Officer
Niederehe, George T
Project Start
2016-08-19
Project End
2021-07-31
Budget Start
2016-08-19
Budget End
2017-07-31
Support Year
1
Fiscal Year
2016
Total Cost
$789,170
Indirect Cost
$289,190
Name
State University New York Stony Brook
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
804878247
City
Stony Brook
State
NY
Country
United States
Zip Code
11794