Pre-planned t test comparisons were used to determine significance at baseline, in changes within the PLYO and E groups, and at post-test for stature, mass, circumferences, TT performance, and RP.
For all traits, the degree of variation in these standardized differences are much higher in females than in males (two-sample Ansari-Bradley tests, for stature: AB = 5215, p<0.004; for body mass: AB = 5233, p<0.003; for BMI: AB = 5167, p<0.008).
The degree of variation in preferences did not differ between sexes (two-sample Ansari-Bradley tests, for stature: AB = 4806, p = 0.44; for body mass: AB = 4663, p = 0.97; for BMI: AB = 4435, p = 0.25) and this also remains true if preferences are standardized by standard deviations of actual partners' values for each trait within sexes (for all tests p>0.2).
The regression equations for stature estimation were presented (Table 2).
As stature is population-specific, this study was conducted in Hospital Sungai Buloh, Hospital Tapah and Hospital Kampar to develop regression for stature estimation in the Malaysian population.
In such conditions, upper limbs could provide alternatives for stature estimation.
There were various methods used by researchers for stature estimation depending on the available resources.
The single linear regression equations were developed if there was only one bone available for stature estimation.
In conclusion, regression equations were developed for stature estimation in male and female based on humerus, radius and ulna.
For stature, the response variable considered in the models was the partner's stature and we included the preferred body mass and the preferred stature as two covariates.
This latter silhouette had a randomly chosen stature and BMI (range for stature: 156 176 cm, range for BMI: 16 38 kg.m−2).
