Material and methods: A total of 300 women between 40 and 59 years of age were evaluated using Greene scale for climacteric symptoms, Cooper questionnaire for psychosomatic symptoms of stress, Smilkstein family apgar for family dysfunction, Duke-UNC questionnaire for social support and Israel scale for vital events.
Differences in VDP among subgroups and variability with age were evaluated using 1-tailed teststests
Behavioral syndromes of children at 8 years of age were evaluated using the Child Behavior Checklist (CBCL).
Differences in seropositivity rates by gender and age were evaluated using the Chi-square test with Yates correction.
Different placement and combinations of turning points in the development with age were evaluated using Akaike's An Information Criterion (AIC) [ 12].
A total of 54 participants (38 healthy controls (HC), eight with mild cognitive impairment (MCI) and eight with AD) from the Australian Imaging Biomarker and Lifestyle (AIBL) study of aging were evaluated using standardized LP.
In order to assess the factors guiding these changes, the mouse synaptic mitochondrial proteome changes during aging were evaluated using Ingenuity Pathway Analysis, which provides comprehensive pathway and network analysis tools for 'omics data.
A total of 122 patients with hip fracture, aged 81.3 ± 6.5 years, were evaluated using the MFAC and Elderly Mobility Scale (EMS).
Twenty five RHTN patients (15 non-T2D and 10 T2D, 15 males, 10 females; age range 34 to 70 years) were evaluated using the following parameters: BMI (body mass index), biochemical analysis, serum adiponectinemia, echocardiogram and ambulatory electrocardiograph heart rate variability (HRV) in time and frequency domains stratified into three periods: 24 hour, day time and night time.
In the multivariable analyses, non-linear effect of age was evaluated using a restricted cubic spline [ 17].
The pattern of development with age was evaluated using piecewise logistic regression in combination with Akaike's An Information Criterion.
