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The main district-level determinant included in the second model is local health expenditure as a proportion of total local expenditure, while in the third model determinants are the number of hospital, health centre and village health post per 1,000 population.
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Based on the forward logistic regression model, the final determinants are use frequency (P value = 0.000) and text message (P value = 0.015) for phone-related hazards.
Determinants are modelled along.
We performed additional experiments in combination with computational modeling to investigate what the main determinants are in calcium dynamics in spines and dendrites and how they affect activation of calmodulin, an important protein for synaptic plasticity.
In the multilevel logistic regression model, all behavioral determinants were recorded from a 5-gradescale into dichotomous variables of means for corresponding determinants with a cut-off point of 2. The probability level was set at p < 0.05 to reach statistical significance.
Model 1: only baseline determinants were entered into the model.
Using the LD model, The determinant,, is exactly 0 for a two-SNP multiplicative model and is a convenient measure for the deviation from it.
The first three models included the prenatal determinants, whereas the postnatal determinants were added in model 4 and model 5. To test for significant difference between the odds ratios, we produced 84% confidence intervals (84% CI) around the odds ratios and examined the overlap.
In model 2 the follow-up determinants were included as co-variables.
In model 4 and 5, postnatal determinants were added to the analyses.
Based on the Health Belief Model and the Behavioural Intention Model demographical, behavioural and organisational determinants were assessed [ 16, 17].
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