TABLE 7.
Adjusted regression model results for mean total cholesterol with clusters representing joint temporal dietary and physical activity patterns of US adults aged 20–65 y as drawn from the NHANES, 2003–20061
| Adjusted models2 | n, % | Total cholesterol,3 mg/dL | 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) | 188.8 ± 2.3 | −16.0 ± 5.1 | −30.0, −2.0* | 0.02 | −11.6 ± 3.8 | −21.9, −1.3* | 0.02 | −14.9 ± 4.8 | −27.8, −1.9* | 0.02 |
| Cluster 2 | 678 (36.9) | 201.5 ± 1.9 | 4.4 ± 2.6 | −2.7, 11.5 | 0.36 | 1.1 ± 2.8 | −6.6, 8.9 | 0.98 | |||
| Cluster 3 | 472 (25.7) | 197.9 ± 1.7 | −3.3 ± 3.5 | −12.7, 6.2 | 0.79 | ||||||
| Cluster 4 | 430 (23.4) | 202.5 ± 1.9 |
There were significant differences in mean total cholesterol between Clusters 1 and 2, Clusters 1 and 3, and Clusters 1 and 4 in the unadjusted model at P < 0.05 (see Supplemental Table 5). *Significant difference: adjusted P < 0.05.
Multiple linear regression models were used and were adjusted for survey year, age group, sex, race/ethnicity, poverty to income ratio, BMI, energy misreporting, and total physical activity counts per day.
Values are mean ± SEM.
β represents the difference of mean total cholesterol between 2 compared clusters. Least square means were used to calculate the differences in mean total cholesterol.