However, some observed associations were age-specific, which highlights this issue as an important one to consider in genetic association studies.
We investigated the extent to which the associations were age-specific and whether they changed over the period of the analysis.
These associations are age-dependent, with younger adults' brains being adversely affected.
Both associations were stronger among patients aged 65 84 years.
The most significant clinical/demographic factors for CAD association were age, sex, chest pain type and neutrophil count.
Confounders for this association were age, ethnicity, season, sun exposure, diabetes duration, presence of cardiovascular disease, eGFR, alkaline phosphatase and LDL cholesterol.
Consistent with the impact of obesity and waist circumference on PTX3, plasma PTX3 was associated negatively with BMI and WC, and both associations were independent of age and plasma creatinine in multiple regression analysis (Tables 2, 3).
Where such non-linear associations were detected, age was divided into splines based on the segmented polynomials approach [ 28, 29].
Then, as both PTSS and many predictors varied with age, associations were adjusted for age.
After adjustment for fat mass, higher LTPA at each age was associated with higher appendicular lean mass in both sexes; these associations were weak at age 36 years.
Both of these associations were independent of age (OR 0.58, 95% CI 0.41 to 0.82 and OR 0.31, 95% CI 0.16 to 0.57, respectively).
