Characterising the covariance pattern between lifestyle factors and structural brain measures: a multivariable replication study of two independent ageing cohorts
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Characterising the covariance pattern between lifestyle factors and structural brain measures : a multivariable replication study of two independent ageing cohorts. / Demnitz, Naiara; Hulme, Oliver J.; Siebner, Hartwig R.; Kjaer, Michael; Ebmeier, Klaus P.; Boraxbekk, Carl Johan; Gillan, Claire M.
In: Neurobiology of Aging, Vol. 131, 2023, p. 115-123.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Characterising the covariance pattern between lifestyle factors and structural brain measures
T2 - a multivariable replication study of two independent ageing cohorts
AU - Demnitz, Naiara
AU - Hulme, Oliver J.
AU - Siebner, Hartwig R.
AU - Kjaer, Michael
AU - Ebmeier, Klaus P.
AU - Boraxbekk, Carl Johan
AU - Gillan, Claire M.
N1 - Publisher Copyright: © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - Modifiable lifestyle factors have been shown to promote healthy brain ageing. However, studies have typically focused on a single factor at a time. Given that lifestyle factors do not occur in isolation, multivariable analyses provide a more realistic model of the lifestyle-brain relationship. Here, canonical correlation analyses (CCA) examined the relationship between nine lifestyle factors and seven MRI-derived indices of brain structure. The resulting covariance pattern was further explored with Bayesian regressions. CCA analyses were first conducted on a Danish cohort of older adults (n = 251) and then replicated in a British cohort (n = 668). In both cohorts, the latent factors of lifestyle and brain structure were positively correlated (UK: r =.37, p < 0.001; Denmark: r =.27, p < 0.001). In the cross-validation study, the correlation between lifestyle-brain latent factors was r =.10, p = 0.008. However, the pattern of associations differed between datasets. These findings suggest that baseline characterisation and tailoring towards the study sample may be beneficial for achieving targeted lifestyle interventions.
AB - Modifiable lifestyle factors have been shown to promote healthy brain ageing. However, studies have typically focused on a single factor at a time. Given that lifestyle factors do not occur in isolation, multivariable analyses provide a more realistic model of the lifestyle-brain relationship. Here, canonical correlation analyses (CCA) examined the relationship between nine lifestyle factors and seven MRI-derived indices of brain structure. The resulting covariance pattern was further explored with Bayesian regressions. CCA analyses were first conducted on a Danish cohort of older adults (n = 251) and then replicated in a British cohort (n = 668). In both cohorts, the latent factors of lifestyle and brain structure were positively correlated (UK: r =.37, p < 0.001; Denmark: r =.27, p < 0.001). In the cross-validation study, the correlation between lifestyle-brain latent factors was r =.10, p = 0.008. However, the pattern of associations differed between datasets. These findings suggest that baseline characterisation and tailoring towards the study sample may be beneficial for achieving targeted lifestyle interventions.
KW - Magnetic resonance imaging (MRI)
KW - Modifiable lifestyle factors
KW - Old age
KW - White matter hyperintensities
U2 - 10.1016/j.neurobiolaging.2023.07.023
DO - 10.1016/j.neurobiolaging.2023.07.023
M3 - Journal article
C2 - 37619515
AN - SCOPUS:85172425623
VL - 131
SP - 115
EP - 123
JO - Neurobiology of Aging
JF - Neurobiology of Aging
SN - 0197-4580
ER -
ID: 371276804