Table 6. Association between organic food consumption cluster and BMI categories by gender, NutriNet-Santé Study, N = 54, 3111.
Men | Women | |||||||||
Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 | |
Not interested | Avoidance | Too expensive | OCOP | RCOP | Not interested | Avoidance | Too expensive | OCOP | RCOP | |
Overweight | ||||||||||
Prevalence | 34.6% | 39.9 | 35.6% | 32.5% | 25.3% | 19.0% | 21.0% | 19.7% | 18.3% | 13.6% |
Model a2 | 1 Ref. | 1.29 (1.13–1.48) | 1.10 (0.93–1.30) | 0.89 (0.80–0.98) | 0.57 (0.50–0.66) | 1 Ref. | 1.18 (1.07–1.30) | 1.10 (0.99–1.22) | 0.94 (0.88–1.01) | 0.64 (0.58–0.70) |
Model b3 | 1 Ref. | 1.19 (1.03–1.37) | 0.99 (0.83–1.18) | 0.88 (0.79–0.97) | 0.58 (0.50–0.68) | 1 Ref. | 1.11 (1.00–1.23) | 0.99 (0.89–1.11) | 0.89 (0.82–0.96) | 0.57 (0.52–0.63) |
Model c4 | 1 Ref. | 1.15 (0.97–1.35) | 0.95 (0.78–1.17) | 0.93 (0.83–1.04) | 0.64 (0.53–0.76) | 1 Ref. | 1.05 (0.93–1.19) | 0.95 (0.83–1.08) | 0.88 (0.80–0.96) | 0.58 (0.52–0.65) |
Obesity | ||||||||||
Prevalence | 10.1% | 10.5% | 12.5% | 8.7% | 4.3% | 9.0% | 11.7% | 12.8% | 8.2% | 5.3% |
Model a2 | 1 Ref. | 1.17 (0.94–1.45) | 1.32 (1.03–1.69) | 0.81 (0.69–0.95) | 0.33 (0.25–0.45) | 1 Ref. | 1.40 (1.23–1.59) | 1.52 (1.33–1.74) | 0.90 (0.81–1.00) | 0.52 (0.45–0.60) |
Model b3 | 1 Ref. | 1.05 (0.83–1.34) | 1.04 (0.79–1.37) | 0.79 (0.67–0.94) | 0.34 (0.25–0.46) | 1 Ref. | 1.31 (1.14–1.51) | 1.27 (1.10–1.47) | 0.86 (0.77–0.96) | 0.49 (0.42–0.57) |
Model c4 | 1 Ref. | 1.04 (0.79–1.36) | 1.10 (0.81–1.51) | 0.89 (0.73–1.09) | 0.38 (0.27–0.55) | 1 Ref. | 1.33 (1.13–1.57) | 1.24 (1.04–1.47) | 0.87 (0.77–0.99) | 0.52 (0.43–0.61) |
Values are odds ratios (95% confidence interval) estimated through polytomous logistic regression using BMI<25 as a reference, all P-values for Wald test of the global effect between clusters <0.0001.
Model a is unadjusted.
Model b: model a+age, physical activity, education, smoking, energy intake, restrictive diet.
Model c: model b+mPNNS-GS; due to missing value for mPNNS-GS, numbers of participants across clusters were 2,248, 1,106, 669, 4,603 and 1,080 in men and 4,727, 3,112, 2,719, 16,381 and4,891 in women (Cluster 1 to Cluster 5).