MOESM2 of Where do people purchase food? A novel approach to investigating food purchasing locations

Additional file 2. Supplementary tables

Additional file 1: Table S1. of A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians

List of the 52 food groups derived from the 111 items in the food frequency questionnaire. (PDF 81 kb

Cross-sectional and longitudinal associations between individual, behavioural, social and organisational/policy factors and break time%MVPA.

*<p><i>p</i><0.1, ^**<i>p</i><0.05, ^***<i>p</i><0.01.</p><p>–  =  Not entered in fully-adjusted model.</p>1<p>Males are the referent group.</p>a<p>Separate models for each dependent variable.</p>b<p>Adjusted for all significant variables from the crude model.</p>c<p>Adjusted for T2 MVPA and all significant variables from the crude model.</p

Information concerning variables used in the analyses (mean (SD) unless stated).

1<p>Percentage of adolescents reporting ‘yes’.</p

Associations between intrinsic motivation and leisure-time physical activity at follow-up among women trying vs. not trying to control their weight.

<p>Note: plots show associations when leisure-time physical activity at baseline was fixed at the geometric mean, number of dependent children was fixed to two, employment status was fixed to working full time and personal income was fixed to medium.</p

Physical activity during school break time at T2 and T3 (raw data).

<p>Physical activity during school break time at T2 and T3 (raw data).</p

Cross-sectional and longitudinal associations between individual, behavioural, social and organisational/policy factors and break time%LPA.

*<p><i>p</i><0.1, ^**<i>p</i><0.05, ^***<i>p</i><0.01.</p><p>–  =  Not entered in fully-adjusted model.</p>1<p>Males are the referent group.</p>a<p>Separate models for each dependent variable.</p>b<p>Adjusted for all significant variables from the crude model.</p>c<p>Adjusted for T2 LPA and all significant variables from the crude model.</p

Cross-sectional and longitudinal associations between individual, behavioural, social and organisational/policy factors and break time%sedentary time.

*<p><i>p</i><0.1, ^**<i>p</i><0.05, ^***<i>p</i><0.01.</p><p>–  =  Not entered in fully-adjusted model.</p>1<p>Males are the referent group.</p>a<p>Separate models for each dependent variable.</p>b<p>Adjusted for all significant variables from the crude model.</p>c<p>Adjusted for T2 sedentary time and all significant variables from the crude model.</p

Associations between intrinsic motivation and leisure-time physical activity at baseline and at follow-up (between-group comparisons of estimated marginal means with linearly independent pairwise tests: baseline—mean dif. = -173 min/week, 99% CI = -223, -124; baseline*—mean dif. = -159 min/week, 99% CI = -209, -110; follow-up—mean dif. = -122 min/week, 99% CI = -175, -69; follow-up**—mean dif. = -74 min/week, 99% CI = -131, -18).

<p>Note: Groups represent the lowest and highest tertile-split groups of adjusted intrinsic motivation means at baseline. At baseline, adjustments were made for highest education level, number of dependent children, employment status, personal income, household income and neighborhood “walking environment” (*and weight control intentions); at follow-up, adjustments were made for number of dependent children, employment status and personal income (**and leisure-time physical activity at baseline and weight control intentions). Error bars indicate the standard error of the mean.</p

Additional file 2: of The REVAMP natural experiment study: the impact of a play-scape installation on park visitation and park-based physical activity

Average hourly temperature and rainfall during the observation period at the intervention and control parks at the three time-points. (DOCX 79 kb