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. 2024 Apr 6;14(1):8108.
doi: 10.1038/s41598-024-58510-z.

Distress and neuroticism as mediators of the effect of childhood and adulthood adversity on cognitive performance in the UK Biobank study

Affiliations

Distress and neuroticism as mediators of the effect of childhood and adulthood adversity on cognitive performance in the UK Biobank study

Chris Patrick Pflanz et al. Sci Rep. .

Abstract

Childhood adversity and adulthood adversity affect cognition later in life. However, the mechanism through which adversity exerts these effects on cognition remains under-researched. We aimed to investigate if the effect of adversity on cognition was mediated by distress or neuroticism. The UK Biobank is a large, population-based, cohort study designed to investigate risk factors of cognitive health. Here, data were analysed using a cross-sectional design. Structural equation models were fitted to the data with childhood adversity or adulthood adversity as independent variables, distress and neuroticism as mediators and executive function and processing speed as latent dependent variables that were derived from the cognitive scores in the UK Biobank. Complete data were available for 64,051 participants in the childhood adversity model and 63,360 participants in the adulthood adversity model. Childhood adversity did not show a direct effect on processing speed. The effect of childhood adversity on executive function was partially mediated by distress and neuroticism. The effects of adulthood adversity on executive function and processing speed were both partially mediated by distress and neuroticism. In conclusion, distress and neuroticism mediated the deleterious effect of childhood and adulthood adversity on cognition and may provide a mechanism underlying the deleterious consequences of adversity.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Path diagram showing the relationship between variables entered in the structural equation modelling with childhood adversity as the independent variable, executive function and processing speed as latent dependent variables. Note: Path-coefficients are standardized coefficients. Covariates not shown for display purposes. Covariates include sex, age, Townsend deprivation index, and education. *p < 0.05, **p < 0.01, ***p < 0.001.
Figure 2
Figure 2
Path diagram showing the relationship between variables entered in the structural equation modelling with childhood adversity as the independent variable, executive function and processing speed as latent dependent variables and distress and neuroticism as mediators. Note: Path-coefficients are standardized coefficients. Covariates not shown for display purposes. Covariates include sex, age, Townsend deprivation index, and education. *p < 0.05, **p < 0.01, ***p < 0.001.
Figure 3
Figure 3
Path diagram showing the relationship between variables entered in the structural equation modelling with adulthood adversity as the independent variable, executive function and processing speed as latent dependent variables. Note: Path-coefficients are standardized coefficients. Covariates not shown for display purposes. Covariates include sex, age, Townsend deprivation index, and education. *p < 0.05, **p < 0.01, ***p < 0.001.
Figure 4
Figure 4
Path diagram showing the relationship between variables entered in the structural equation modelling with adulthood adversity as the independent variable, executive function and processing speed as latent dependent variables and distress and neuroticism as mediators. Note: Path-coefficients are standardized coefficients. Covariates not shown for display purposes. Covariates include sex, age, Townsend deprivation index, and education. *p < 0.05, **p < 0.01, ***p < 0.001.

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