The associations between physical activity and demographic factors.

<p>The associations between physical activity and demographic factors.</p

Distributions of demographic factors and health status in the study sample (N,%).

<p>Distributions of demographic factors and health status in the study sample (N,%).</p

Fully adjusted models showing associations between physical activity and joint environmental conditions.

<p>Fully adjusted models showing associations between physical activity and joint environmental conditions.</p

Mean of physical activity measures by different environmental conditions.

<p>Mean of physical activity measures by different environmental conditions.</p

The associations between physical activity, day length and weather.

<p>The associations between physical activity, day length and weather.</p

Changes in environmental conditions over the period of the study (red/blue: Maximum/Minimum temperature (°C); green: precipitation (mm); orange: day length (hour)).

<p>Changes in environmental conditions over the period of the study (red/blue: Maximum/Minimum temperature (°C); green: precipitation (mm); orange: day length (hour)).</p

Regression models.

a.<p>ref.: reference group.</p>b.<p>LRT: likelihood ratio test, for testing the non-linear the association between age and dependent variables.</p

Distributions of sociodemographic factors, chronic conditions, and lifestyle factors (<i>n</i> = 2,315).

<p>Distributions of sociodemographic factors, chronic conditions, and lifestyle factors (<i>n</i> = 2,315).</p

Associations between lifestyle factors, cognitive reserve, and cognitive function (adjusted for age, gender, and chronic conditions).

<p>Associations between lifestyle factors, cognitive reserve, and cognitive function (adjusted for age, gender, and chronic conditions).</p

The Changes of Cerebral Morphology Related to Aging in Taiwanese Population

<div><p>A cross-sectional study with the 3-dimensional (3D) MRI reconstruction technique was conducted to investigate cerebral complexity changes related to age differences in native Taiwanese population. In our sample of 85 participants aged between 25 and 81, age was associated with gradual ventricular expansion. A nonlinear quadratic relationship between white matter volume and age was found overall in the brain. Widespread age-related reduction in white matter was detected from late adulthood onwards. However, no significant age-related changes in the cortex and whole brain volume were determined throughout adulthood. These findings provided information in describing brain structural complexity, which might in the future serve as an objective diagnostic index or as a predictive parameter for neurological diseases. Our method then may be used for cross-cultural longitudinal studies to evaluate the effect of disease, environment and aging on the brain.</p> </div