TABLE 4.
Adjusted models2 | n, % | WC,3 cm | β4 ± SE compared with Cluster 2 | 95% CI | Adjusted P value | β4 ± SE compared with Cluster 3 | 95% CI | Adjusted P value | β4 ± SE compared with Cluster 4 | 95% CI | Adjusted P value |
---|---|---|---|---|---|---|---|---|---|---|---|
Cluster 1 | 256 (14.0) | 93.4 ± 0.9 | −3.5 ± 1.9 | −8.6, 1.7 | 0.28 | 1.0 ± 1.5 | −3.0, 5.0 | 0.91 | −7.3 ± 1.4 | −11.2, −3.4* | 0.0001 |
Cluster 2 | 678 (36.9) | 100.7 ± 0.6 | 4.5 ± 1.2 | 1.3, 7.6* | 0.003 | −3.8 ± 1.4 | −7.6, −0.1* | 0.05 | |||
Cluster 3 | 472 (25.7) | 94.8 ± 0.6 | −8.3 ± 1.3 | −11.9, −4.6* | <0.0001 | ||||||
Cluster 4 | 430 (23.4) | 100.4 ± 0.8 |
There were significant differences in mean WC between Clusters 1 and 2, Clusters 1 and 4, Clusters 2 and 3, and Clusters 3 and 4 in the unadjusted model at P < 0.05 (see Supplemental Table 2). *Significant difference: adjusted P < 0.05. WC, waist circumference.
Multiple linear regression models were used and were adjusted for survey year, age group, sex, race/ethnicity, poverty to income ratio, energy misreporting, and total physical activity counts per day.
Values are mean ± SEM.
β represents the difference of mean WC between 2 compared clusters. Least square means were used to calculate the differences in mean WC.