Common major midlife adverse events, such as divorce or death of a family member, accelerate brain aging in older adults, reveals research led by senior author William S. Kremen, PhD, professor of psychiatry and co-director of the Center for Behavior Genetics of Aging at UC San Diego School of Medicine and published in journal Neurobiology of Aging.
Specifically, they found that on average, one FLE was associated with an increase in predicted brain age difference (PBAD) of 0.37 years. In other words, a single adverse event caused the brain to appear physiologically older by approximately one-third of a year than the person's chronological age, based upon magnetic resonance imaging (MRI). The researchers studied 359 men, ages 57 to 66 years old, participating in the Vietnam Era Twin Study of Aging (VETSA). Researchers asked participants to tally a list of life-changing events over the past two years, which were compared to a similar measure collected five years previously when they joined VETSA. The summaries encapsulated stressful midlife events that had occurred in the first two and last two years of the past seven years. All participants underwent MRI exams and further physical and psychological assessments within one month of completing the most recent self-reports.
Hatton said exposure to chronic stress has long been associated with biological weathering and premature aging, linked, for example, to oxidative and mitochondrial damage in cells, impaired immune system response and genomic changes. The study's authors said their findings provide a possible link between molecular aging and brain structure changes in response to major stressful life events. They do note that the study was a snapshot of a narrow demographic: older, predominantly white, males. It is not known whether females or other ethnicities would show similar findings.
The authors said additional, broader studies involving greater and more diverse numbers of participants were needed to further validate their findings. But they suggest that using tools to predict brain age could be clinically useful in helping patients understand their brain health relative to their age and in clinical trials where it might improve study design and recruitment.