Chronological age is differentially associated with cognitive performance according to climacteric stage: evidence from a Bayesian multivariate analysis in Chilean women

A groundbreaking study published in Frontiers in Psychology on May 29, 2026, has unveiled a complex and nuanced relationship between chronological age, menopausal transition, and cognitive function in women. The research, conducted in the remote Magallanes Region of Chile, challenges the long-held assumption that aging inevitably leads to a uniform decline in cognitive abilities. Instead, it suggests that the impact of chronological age on memory, attention, and processing speed is significantly modulated by a woman’s stage in the menopausal transition.

Unraveling the Age-Cognition Conundrum During Menopause

For decades, the aging process has been broadly associated with a decline in cognitive function. However, this perception has begun to be challenged by emerging research highlighting the substantial individual variability in cognitive trajectories. This variability is particularly pronounced in women navigating the menopausal transition, a period characterized by profound neuroendocrine shifts. The new study, a brief research report within the Neuropsychology section of Frontiers in Psychology, focused on understanding how chronological age interacts with different phases of this transition to influence cognitive performance.

The research team, led by Dr. JL-H and Dr. CN-E, hypothesized that the association between chronological age and cognitive performance is not static but rather shifts depending on whether a woman is in early menopause, intermediate postmenopause, or advanced postmenopause. This hypothesis emerged from observations that hormonal changes, particularly the decline in estrogen levels, can have significant neuroprotective effects, and the duration and timing of these hormonal shifts, in conjunction with chronological age, might create distinct cognitive profiles.

Methodology: A Deep Dive into Cognitive Function

The study involved 360 women aged between 50 and 81 years from the Magallanes Region, a unique geographical setting characterized by extreme photoperiodic variation, harsh climate, and geographic isolation. These environmental factors were considered potentially influential on aging processes, though their specific impact on cognitive function during menopause remained under-researched.

Participants were meticulously classified into three climacteric stages based on the STRAW+10 criteria:

• Early Menopause: Defined as 4 years or fewer since the last menstrual period (n=126).
• Intermediate Postmenopause: Defined as 5 to 8 years since the last menstrual period (n=123).
• Advanced Postmenopause: Defined as more than 9 years since the last menstrual period (n=111).

This classification is significant as it aligns with periods of accelerated hormonal change in early postmenopause and a more stabilized phase in late postmenopause. The study carefully excluded participants with neurological diseases, uncontrolled psychiatric conditions, severe sensory deficits, current hormone replacement therapy, or a history of premature or surgical menopause to ensure the purity of the sample.

Cognitive function was assessed using two key instruments:

• Addenbrooke’s Cognitive Examination-Revised (ACE-R): A comprehensive 100-point test evaluating global cognition across domains such as attention, memory, fluency, language, and visuospatial abilities. The ACE-R has demonstrated robust psychometric properties in Spanish-speaking populations.
• Symbol Digit Modalities Test (SDMT): A measure of processing speed, requiring participants to match symbols to numbers within a time limit. The SDMT is known for its strong reliability and validity in assessing this crucial cognitive domain.

Sociodemographic data, including age, educational attainment, marital status, and employment, were collected, alongside clinical history encompassing age at menarche, parity, and relevant health conditions.

Statistical Analysis: A Bayesian Approach to Uncertainty

To unravel the complex interplay between age and climacteric stage, the researchers employed a sophisticated Bayesian multivariate model. This approach was chosen for its ability to provide complete posterior distributions for all parameters, offering a comprehensive quantification of uncertainty and probabilistic interpretations through credible intervals. This contrasts with traditional frequentist methods, which can sometimes provide less nuanced insights into uncertainty.

The model simultaneously evaluated ACE-R and SDMT scores as response variables, incorporating two-way interaction terms between chronological age and climacteric stage. This allowed the researchers to investigate whether the effect of age on cognition varied across different menopausal transition phases. Weakly informative priors were used to regularize the models, reducing the influence of outliers and noise. Convergence of the models was confirmed through standard metrics, including R-hat statistics and effective sample sizes, alongside visual inspection of trace plots.

Key Findings: A Reversal of Age-Cognition Association

The study’s results revealed a striking pattern: the association between chronological age and cognitive performance was not linear but significantly depended on the climacteric stage.

Main Effects:

• A clear negative association was observed between more advanced climacteric stage and cognitive performance. Women in later stages of postmenopause exhibited lower scores on both the SDMT and ACE-R compared to those in earlier stages. This suggests that the progression through menopause itself is linked to a decline in cognitive function.
• The main effect of chronological age, when considered in isolation, showed considerable uncertainty. This indicates that simply being older does not uniformly predict cognitive decline or improvement without considering other factors.

The Crucial Interaction:
The most significant finding emerged from the interaction term between chronological age and climacteric stage. This revealed a divergence in the age-cognition relationship:

• In early menopause, older chronological age was associated with better cognitive performance. This suggests that women who enter this stage at an older age may possess a more robust cognitive reserve.
• Conversely, in advanced postmenopause, older chronological age was associated with lower cognitive performance. This indicates that the protective effects observed in earlier stages may wane over time with prolonged hypoestrogenism.

This interaction effect was consistent across both global cognitive measures (ACE-R) and processing speed (SDMT), underscoring its broad impact on cognitive function. The study also found no strong association between educational level and cognitive performance in this sample after adjusting for confounding factors, a finding that warrants further investigation given the established role of education in cognitive health.

Discussion: Rethinking Cognitive Aging in Women

The implications of these findings are profound and challenge established views on cognitive aging. The study suggests that the menopausal transition is not merely a passive consequence of chronological aging but an active period that reshapes the relationship between age and cognitive capacity.

Prolonged Estrogen Exposure and Cognitive Reserve:
The positive association between age and cognition in early menopause can be attributed to several factors. Women experiencing menopause later in life have likely benefited from prolonged exposure to estrogen, a hormone known for its neuroprotective qualities. This extended exposure may have contributed to building a stronger neural scaffolding and greater synaptic density in brain regions susceptible to estrogen decline. Furthermore, women with later menopause onset may have accumulated greater cognitive reserve through extended periods of occupational engagement and social participation during their reproductive years. The timing of menopause relative to chronological age could also interact with brain aging trajectories, allowing for the consolidation of compensatory neural mechanisms before the onset of hypoestrogenic stress.

The Tipping Point of Hypoestrogenism:
The reversal of this trend in advanced postmenopause, where older age becomes associated with lower cognitive performance, suggests a critical temporal window. After approximately 8 to 9 years of hypoestrogenism, the compensatory mechanisms that initially buffered against estrogen loss may become exhausted. The scaffolding theory of aging and cognition posits that the brain recruits additional neural resources to maintain function as primary networks deteriorate. In early postmenopause, older women might have more developed compensatory scaffolds. However, prolonged hypoestrogenism could eventually overwhelm these reserves, exposing underlying age-related vulnerabilities.

Challenging Conventional Models:
These findings directly challenge research that treats age and time since menopause as independent correlates or predictors of cognitive performance. The interaction framework reveals that these temporal dimensions are not additive but rather reconfigure each other’s influence. This means that a woman’s cognitive profile at a given chronological age is not fixed but is dynamically shaped by her position within the menopausal transition.

The consistency of the interaction effects across both the ACE-R and SDMT is theoretically significant. It suggests that the observed age effect inversion operates at a systemic neurobiological level, rather than being confined to specific cognitive domains. This convergence points towards overarching mechanisms influencing brain health during this life stage.

Implications for Clinical Practice and Future Research

The results of this study carry significant implications for clinical practice, particularly in the realm of cognitive screening. Current guidelines for cognitive assessment often rely on chronological age alone, without adequately considering menopausal status. This research suggests that age-based thresholds for screening may need to be adjusted based on a woman’s time since menopause. For instance, a 58-year-old woman who is only two years postmenopausal might require a different level of monitoring than a 58-year-old who is ten years postmenopausal, despite their identical chronological ages.

Conversely, younger women in early postmenopause experiencing cognitive complaints should not be dismissed solely based on their age. Their age might represent a different cognitive profile within that specific climacteric stage rather than an indicator of universally lower cognitive vulnerability.

Limitations and Future Directions:
The researchers acknowledge several limitations to their study. The cross-sectional design precludes definitive causal inferences and longitudinal trajectory modeling. Future research employing longitudinal designs, tracking women from perimenopause through late postmenopause, would be invaluable in clarifying whether the observed interactions represent genuine within-person changes or cohort effects.

Crucially, hormonal biomarkers such as estradiol and FSH were not collected. This limits the direct linkage of cognitive patterns to specific endocrine profiles. Future studies incorporating hormonal assessments could illuminate whether age effects are mediated by differential estrogen levels within climacteric stages.

Furthermore, the study’s multivariate model did not include all potential confounding variables, such as comorbidities, smoking, alcohol consumption, and physical activity levels. While these were considered in the interpretation of findings, their exclusion from the primary model might leave room for residual confounding. Future research should aim to incorporate these moderating variables to provide a more comprehensive understanding.

The study’s focus on the Magallanes Region also highlights the need for broader research across diverse geographical and cultural contexts, as most existing menopause research has concentrated on North American and European populations. The unique environmental and demographic characteristics of the Magallanes Region may offer insights into how external factors interact with biological aging and menopausal transition.

Conclusion: A New Perspective on Women’s Cognitive Health

In conclusion, this Bayesian multivariate analysis of Chilean women from the Magallanes Region provides compelling evidence that the association between chronological age and cognitive performance is not a simple linear decline but is intricately modulated by a woman’s climacteric stage. Older age was linked to better cognitive function in early menopause, a pattern that reversed to lower performance in advanced postmenopause, consistently observed across measures of global cognition and processing speed.

These findings challenge traditional, age-centric views of cognitive decline and underscore the critical importance of considering the menopausal transition as a distinct period influencing cognitive trajectories. The research calls for a recalibration of how cognitive health is assessed and monitored in midlife and older women, emphasizing the need for personalized approaches that account for both chronological age and endocrine status. Future longitudinal studies incorporating hormonal biomarkers and a wider range of clinical and lifestyle factors are essential to further elucidate the complex mechanisms underlying these stage-dependent age-cognition associations and to inform targeted interventions for cognitive well-being throughout a woman’s life.