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Results indicated that the overall regression model was significant (R2 = 0.51, F = 109.60, p < 0.001).
The overall regression model indicated pain and medical variables were significantly associated with function/disability measures (R2=0.45, P<0.01).
The blue line shows the overall regression model for an average site and the grey shading indicates the 95% confidence interval.
The table shows that the overall regression model is significant (F [3, 109] = 8.315, p = .000) which led to the rejection of the null hypothesis.
Table 3 shows that the overall regression model is significant (F [3, 109] = 19.471, p = .000) which led to the rejection of the null hypothesis.
The results of the overall regression model NB pointed to the need to work with two levels of analysis: the city center alone and the remaining outside neighborhoods (including favelas).
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One of the studies only employed individual patient analyses and did not present results from overall regression models (Alvarez-Lozano et al. 2014).
Notably, some of the papers including automatically generated objective smartphone data and clinically assessed depressive and manic symptoms only presented case studies, employed individual patient analyses and did not present results from overall regression models (Osmani 2015; Grünerbl et al. 2012, 2015; Alvarez-Lozano et al. 2014; Maxhuni et al. 2016; Guidi et al. 2015; Muaremi et al. 2014).
The overall regression models showed more significance with higher correlation coefficients at Week 52 than Week 24 (Table 3).
Staff distress at neuropsychiatric symptoms [ 4] and nursing assistant characteristics including attitudes to dementia [ 32] accounted for only a small proportion of variance in overall regression models.
For the overall regression models mentioned above, adjusted R and P values were as follows: 0.201 (P = 0.002) for fasting glucose, 0.442 (P < 0.0005) for 2-h glucose, and 0.200 (P = 0.002) for HbA1c.
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