Table 3

Correlates of sedentary behaviour and physical activity counselling* in primary care: pilot finding from the Rapid Assessment Disuse Index (RADI) study

Received sedentary behaviour counsellingReceived physical activity counselling
Bivariate†Multivariable‡Bivariate†Multivariable‡
CharacteristicsNn (%)pOR (95% CI)n (%)pOR (95% CI)
Sex0.100.23
 Male593 (5.1)1.0–reference28 (47.5)
 Female9813 (13.3)2.2 (0.4 to 11.5)56 (57.1)
Age0.460.12
 40–59928 (8.7)54 (58.7)2.4 (1.1 to 5.4)
 60–79658 (12.3)30 (46.2)1.0–reference
College graduate0.680.15
 No556 (10.9)34 (61.8)1.5 (0.6 to 3.6)
 Yes1019 (8.9)49 (48.5)1.0–reference
Current smoker0.240.07
 No14616 (100.0)81 (55.5)6.1 (1.3 to 28.4)
 Yes110 (0.0)3 (27.3)1.0–reference
BMI (kg/m20.000.06
 Normal weight452 (4.4)1.0–reference20 (44.4)1.0–reference
 Overweight692 (2.9)0.8 (0.1 to 6.1)35 (50.7)1.0 (0.4 to 2.6)
 Obese369 (25.0)7.0 (1.4 to 35.2) 25 (69.4)2.2 (0.7 to 6.4)
Hypertensive§0.600.83
 No12312 (9.8)66 (53.7)
 Yes314 (12.9)16 (51.6)
Type 2 diabetic§0.700.73
 No12613 (10.3)69 (54.8)
 Yes141 (7.1)7 (50.0)
Dyslipidemia§0.250.05
 No695 (7.2)33 (47.8)1.0–reference
 Yes608 (13.3)39 (65.0)2.1 (0.9 to 4.6)
Sedentary time (mean, SD)¶0.40
 No counselling1350.639 (0.783)
 Yes counselling160.657 (0.979)
MVPA (mean, SD)0.65
 No counselling700.026 (0.027)
 Yes counselling810.025 (0.018)
  • Italics indicate a statistically significant association at p<0.05; Missing cells are indicative of covariates not included in the multivariable models.

  • *Based on patients responses to separate survey questions pertaining to physical activity and sedentary behaviour counselling received from their primary care physician in the past year.

  • †In bivariate analysis—Pearson χ2 was used to assess the association between two categorical variables, and ANOVA was applied to examine the relation between a categorical and continuous variables.

  • ‡Multivariable logistic regression was applied to determine which covariates were independently related to the dependent variables. Two logistic regression models were computed (one for each dependent variable), and covariates associated with the dependent variables at p≤0.20 in bivariate analysis, were entered into the models.

  • §BMI was calculated using the standard formula (kg/m2), and was categorised based on the WHO criteria: normal: BMI 18.5–24.9; overweight: BMI 25–29.9; obesity: BMI >30. Underweight (<18.5) individuals (n=4) were not included in the analysis. Clinical information was gleaned from patients’ electronic medical records. Hypertension, type 2 diabetes and dyslipidemia were defined based on clinical guidelines.

  • ¶Sedentary behaviour and physical activity information is based on accelerometers using Freedson cut-off points. Minutes spent in sedentary time and MVPA per day are adjusted for accelerometer wear time. A total of 151 patients had complete and valid accelerometer data—≥4 wearing days with for at least 10 h/day.

  • ANOVA, analysis of variance; BMI, body mass index; MVPA, moderate-to-vigorous intensity physical activity.