Key result
Metabolic dysfunction was significantly associated with higher depressive mood scores (β = 0.066, p = 0.029), an effect that was stronger in younger participants and diminished with advancing age.
Why the study?
Depression and metabolic syndrome are linked and likely influenced by age, but the relationship between metabolic syndrome components and default mode network functional connectivity required exploration.
Cross-Sectional (n=943)
Effect estimate: β = 0.066
p-value: p=0.029
The association between metabolic dysfunction and depressive mood is age-dependent and interacts with default mode network functional connectivity, highlighting the complex interplay between peripheral metabolism and brain function in aging.
DMN-FC may link depression and metabolic syndrome in aging; leaves open whether connectivity mediates risk or warrants intervention trials.
Background: Numerous studies suggest a relationship between depression and metabolic syndrome, which is likely influenced by age. Interestingly, functional imaging analysis has shown an association between functional connectivity in the default mode network (DMN-FC) and components of metabolic syndrome, which is explored in this study. Methods: From a larger longitudinal cohort study on healthy aging, 943 individuals were extensively characterized for mood and cognition. Among these, 120 individuals who were selected for displaying extreme cognitive performance within the normal range (good and poor performers) were further studied. Here, in a cross-sectional design, using confirmatory factor analysis (CFA), the association between metabolic dysfunction and depressive mood as a function of age and its relationship with DMN-FC was studied. Results: Metabolic dysfunction was modeled as a second-order latent variable using CFA. First-order latent variables were obesity, glucose dysmetabolism, lipids imbalance, and blood pressure. Using multiple linear regression models, this study observed that metabolic dysfunction, glucose dysmetabolism, and lipids imbalance were linearly associated with depressive mood, and the association with obesity was U-shaped. The association of metabolic dysfunction, obesity, and glucose dysmetabolism with depressive mood is positive for the younger individuals in our sample and vanishes with aging. The FC of the right superior temporal gyrus with the DMN correlated with both obesity and depressive mood. In participants with higher obesity scores, FC increased with higher GDS scores, while in those with lower GDS scores, FC decreased. Age and blood pressure were associated with a more complex pattern of association between FC of the right supramarginal gyrus and GDS score. Conclusion: The association of metabolic dysfunction with depressive mood is influenced by age and relates with differential patterns of DMN-FC. The combination of the effects of age, mood, and metabolic dysfunction is likely to explain the heterogeneity of DMN-FC, which deserves further investigation with larger and longitudinal studies.
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Portugal‐Nunes et al. (2021) conducted a cross-sectional in Metabolic dysfunction and depressive mood (n=943). Metabolic dysfunction vs. Lower metabolic dysfunction scores was evaluated on Geriatric Depression Scale (GDS) score (β = 0.066, p=0.029). Metabolic dysfunction was significantly associated with higher depressive mood scores (β = 0.066, p = 0.029), an effect that was stronger in younger participants and diminished with advancing age.
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