The Pace of Aging, a newly refined method for measuring the rate at which individuals experience age-related health decline, offers researchers and policymakers a powerful tool for predicting risks associated with aging, including chronic illness, cognitive impairment, disability, and mortality. Developed by Columbia University Mailman School of Public Health researchers, this approach quantifies how quickly individuals and populations experience age-related health decline.

The existing toolkit for population health research on aging did not distinguish differences caused by early-life factors from those caused by ongoing changes in people’s bodies due to aging. The findings from the study published in Nature Aging highlight the importance of this new method.

“Our Pace of Aging method is an essential approach for understanding population aging,” explained Arun Balachandran, PhD, a postdoctoral researcher at the Columbia Aging Center and lead author of the study. “Our existing toolkit doesn’t include methods that can separate out the legacies of early life from the changes caused by aging.”

Daniel Belsky, PhD, associate professor of Epidemiology at Columbia Mailman School and member of the Robert N. Butler Columbia Aging Center, elaborated on this point: “We developed the Pace of Aging method to evaluate the effectiveness of interventions targeting the biology of aging. The new approach introduced in this paper is designed to do the same for social policies and public health programs.”

The researchers analyzed data from two large-scale studies: the U.S. Health and Retirement Study (HRS) and the English Longitudinal Study of Aging (ELSA). These long-term studies follow adults aged 50 and older, along with their spouses, collecting detailed information on health, cognition, socioeconomic status, and family dynamics.

The new approach makes use of data from dried blood spots, physical exams, and performance tests given to participants in their homes at up to three timepoints over eight-year follow-up intervals. The researchers examined the Pace of Aging in 19,045 participants who contributed data over 2006-2016, with additional follow-up to determine disease, disability, and mortality through 2022.

In the US study, the Pace of Aging was measured from C-reactive protein (CRP), Cystatin-C, glycated hemoglobin (HbA1C), diastolic blood pressure, waist circumference, lung capacity (peak flow), balance, grip strength, and gait speed. The researchers found that their method can measure important variability in the pace of aging in older people with a relatively limited set of measurements.

“Our findings establish that we can measure important variability in the pace of aging in older people with a relatively limited set of measurements,” said Belsky. “Our findings open up possibilities to study pace of aging in cohorts around the world.”

The researchers also found signs of accelerated aging in people with lower levels of education and reported differences in aging trajectories across population subgroups. Originally developed using data from the Dunedin Study, a longitudinal study of individuals born in 1972-73, the initial Pace of Aging tool focused on changes from young adulthood through midlife.

The newly adapted method extends its utility to population-based studies of aging, offering planners and policymakers a valuable resource for monitoring and improving population health and longevity. “Beyond medicine and gerontology, this work has important implications for sociology and economics,” added Belsky.

“It can help us understand how life transitions – such as retirement, caregiving, and bereavement – affect the aging process and support the development of more effective public health and social policies.” The researchers highlighted that the differences in aging speed found were not just statistically significant but meaningful, with people aging faster much more likely to get sick, become disabled, or die sooner.

The study was supported by National Institutes of Health grants R01AG061378, T32AI114398, and U01AG009740; the Russel Sage Foundation; BioSS Grant 1810-08987; and the Robert N. Butler Columbia Aging Center.

The discovery of nine specific molecules in the blood has revolutionized our understanding of teen depression. McGill University researchers have developed a novel lab method to detect these molecules, known as microRNAs, which can predict how symptoms might progress over time. This breakthrough could lead to earlier detection and intervention before symptoms worsen and become harder to treat.

The alarming rise in adolescent depression diagnoses has severe consequences, including long-lasting effects on mental health, substance use, social isolation, and treatment resistance. By identifying unique microRNA biomarkers linked specifically to teens, researchers hope to provide an additional objective metric for early identification and care.

A minimally invasive approach was used to collect small blood samples from 62 teenagers, 34 with depression and 28 without. The McGill team developed the lab method to extract and analyze microRNAs from these samples, making it practical and scalable for broader use.

The study’s findings pave the way for using dried blood spots as a tool in psychiatric research, allowing us to track early biological changes linked to mental health using a minimally invasive method. Researchers plan to validate their findings in larger groups of adolescents and explore how these microRNAs interact with genetic and environmental risk factors.

The study was funded by various organizations, including the Douglas Foundation, the National Institute on Drug Abuse, and the Canadian Institutes of Health Research.

A recent study has shed light on the increased risk of psychopathology in children whose parents have schizophrenia or bipolar disorder. Researchers from the University of Barcelona and the Gregorio Marañón University Hospital in Madrid followed 238 children (aged 6-17) for four years, comparing them with a control group of parents without these conditions.

The study found that children of parents with schizophrenia had a higher risk of developing attention deficit disorder, disruptive disorders, and subclinical psychotic symptoms. In contrast, children of parents with bipolar disorder were more likely to experience mood disorders, attention deficit disorder, and subclinical bipolar symptoms.

This research highlights the importance of family and social interventions in mitigating this risk. Better parental psychosocial functioning and higher socioeconomic status were associated with a lower presence of mental health problems in children.

The study’s findings are part of the BASYS (Bipolar and Schizophrenia Young Offspring Study) project, which aims to improve our understanding of the mechanisms underlying the intergenerational transmission of vulnerability to mental disorders in childhood and adolescence.

While more research is needed, this study underscores the need for preventive strategies in high-risk populations. It also emphasizes the importance of long-term follow-up of children of parents with severe mental illness.

This rewritten article aims to provide a clear and concise overview of the study’s findings, making it accessible to a general audience while maintaining the core ideas and scientific rigor of the original text.