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Table 4 Multilevel regression model predicting physical activity behaviour

From: Is walking netball an effective, acceptable and feasible method to increase physical activity and improve health in middle- to older age women?: A RE-AIM evaluation

Variable

Model

ICC

-2ll (dfp-value)

u0j

u2j

e0ij

β(SE)

p-value

 

Null Model

.46

3649.48

2.04

2.37

–

3.42(.08)

–

 

Model 1

–

3560.32 (df = 15 p = .001)

1.29

2.54

–

–

–

 

Model 2

–

3558.84 (df = 15p = 1.00)

1.29

.021

2.42

–

–

Intercept (constant)

      

3.55(.169)

.001

Age

      

.004(.011)

.36

Multiple deprivation index

      

.017(.027)

.26

Mental health and wellbeing

      

−.016(.012)

.09

Social isolation

      

−.019(.165)

.45

Quality of Life: Physical Function

      

−.468(.195)

.008

Quality of Life: Feelings

      

−.187(.196)

.17

Quality of Life: Daily Activities

      

−.142(.213)

.25

Quality of Life: Social Activities

      

.207(.216)

.17

Quality of Life: Pain

      

.048(.191)

.40

Quality of Life: Changes in Health Status

      

−.018(.218)

.46

Quality of Life: Health Status

      

−.548(.198)

.002

Quality of Life: Social Support

      

−.061(.197)

.37

Quality of Life: Overall perceptions

      

.557(1.41)

.34

Employment Status (reference: not employed vs. employed)

      

−.093(.183)

.30

Partnership (reference: alone vs. partner)

      

−.148(.18)

.20

  1. Note: ICC = interclass correlation. -2ll = −2*loglikelihood (deviance in IGLS estimation). Region level (u0j = intercept, u2j = slope). Member level (e0ij = intercept