Table 5: Controlled before-and-after design: comparison at 1 year.
Variable | PR1MaC (intervention + control) |
PRECISE (control cohort) | Mean difference (95% CI) | |||||
---|---|---|---|---|---|---|---|---|
Mean ± SD | Mean ± SD | |||||||
At baseline | After 12 mo | At baseline | After 12 mo | PR1MaC* | PRECISE* | PR1MaC v. PRECISE† | p‡ | |
PCS | 43.6 ± 10.3 | 45.6 ± 9.7 | 43.6 ± 11.7 | 43.8 ± 11.3 | 2.2 (1.3 to 3.1) |
0.3 (-0.6 to 1.2) |
1.51 (0.41 to 2.62) |
0.007 |
MCS | 47.1 ± 10.8 | 49.6 ± 9.6 | 47.2 ± 10.6 | 48.9 ± 10.3 | 2.0 (1.0 to 3.1) |
1.6 (0.6 to 2.5) |
0.62 (-0.54 to 1.77) |
0.295 |
BMI | 31.8 ± 7.2 | 30.7 ± 7.0 | 30.6 ± 6.1 | 30.6 ± 6.3 | -0.8 (-1.2 to -0.4) |
0.1 (-0.2 to 0.3) |
-0.83 (-1.29 to -0.37) |
< 0.001 |
Psy. distress | 34/330 (10.3) | 17/315 (5.4) | 40/333 (12.0) | 31/330 (9.4) | 0.56 (0.29 to 1.10) | 0.094 | ||
Fruit and veg. | 103/332 (31.0) | 127/280 (45.4) | 147/325 (45.2) | 177/316 (56.0) | 0.79 (0.55 to 1.13) | 0.198 | ||
Phys. activity | 39/330 (11.8) | 49/280 (17.5) | 60/330 (18.2) | 56/327 (17.1) | 1.30 (0.81 to 2.08) | 0.276 |
Note: ANCOVA = analysis of covariance, BMI = body mass index (kg/m2), CI = confidence interval, Fruit and veg. = recommended fruit and vegetable consumption, MCS = mental component cummary of SF-12 (version 2), OR = odds ratio, PCS = Physical Component Summary of SF-12 (version 2), Phys. activity = recommended physical activity, PRECISE = Program of Research on the Evolution of a Cohort Investigating Health System Effects, PR1MaC = Adaptation, implantation et évaluation d'une intervention d'intégration des services de réadaptation en maladies chroniques aux soins de 1re ligne (Adapting and integrating chronic disease prevention and man and management services into primary care settings), Psy. distress = presence of psychological distress, SF-12 (version 2) = 12-Item Short-Form Health Survey.
*Mean difference = mean score after 3 mo - mean score at baseline.
†Mean difference = adjusted mean after 12 mo (PR1MaC) - adjusted mean after 12 mo (PRECISE).
‡ANCOVA used for continuous variables and logistic regression used for dichotomous variables, and were adjusted for scores at baseline.