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Measurement of morbidity, disability and premature mortality are all considered A total of 262 sources of lifestyle information were recorded (median = 10, range = 0 40 per health setting), which are presented according to each health behaviour in Table 4.> -wrap-foot> aAnalysis based on data collected from 12 health centres.
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Horses were a posteriori binary classified for the analyses as "being stereotypic" (i.e. observed at least once performing an oral and/or a motor stereotypic behaviour shown in Table 1) or "non-stereotypic" (i.e. never observed performing a stereotypic behaviour).
Considering the as-received eucalyptus pulp, this was found to be fully digestible, but displayed biexponential rate behaviour, summarised in Table 2.
No association was observed between the htSNPs and alcohol drinking behaviour in females (Table 4).
The comorbidity of anxiety-related and depression-like phenotypes observed in HAB vs. LAB mouse comparisons was not reflected by the PC analysis in our F2 animals, leading to high loadings of anxiety-related behaviour as measured in the EPM in PC2, in the OF in PC3 and of depression-like behaviour in PC4 (Table 2).
The response options included recommended and, non-recommended behaviours listed in Table 1.
For other lifestyle behaviours mentioned in Table 3 none of the between-group-differences were statistically significant.
We applied LCA to the combined data from survivors and controls (n=2505) on the health behaviours described in Table 1.
The four behaviours identified in Table 4 were entered in a regression model, together with (1) age, (2) DCD/GlobalDelay, and (3) CP.
Therefore, the observer noted the behaviours listed in Table 1 by coding them directly into a prepared spreadsheet on a laptop computer.
The survey data will allow opportunities to explore individual, social and family-environment factors as well as self-reported risk and protective health factors and behaviours (eg, physical activity, sedentary behaviours, eating behaviours, BMI outlined in table 1).
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