Table 3.
Regression Coefficients (Fixed Effects), Random Effects, and P-values From Multivariate HLM Models That Include Only Individual-Level Characteristics As Explanatory Variables For Fruit/Vegetable Intake, Using the Third National Health and Nutrition Examination Survey 1988-1994 (NHANES III) 1
Servings of Fruit and Vegetables Combined (N=13,281) | Servings of Fruit (N=13,310) | Servings of Vegetables (N=13,296 | ||||
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Coeff | P-value | Coeff | P-value | Coeff | P-value | |
Race/Ethnicity | ||||||
Mexican American | 0.004 | 0.9783 | 0.15 | 0.1609 | -0.16 | 0.1364 |
NH Black | -0.42 | 0.0003 | 0.06 | 0.3763 | -0.50 | <0.0001 |
‘Other’ | -0.30 | 0.1756 | -0.22 | 0.1609 | -0.07 | 0.6302 |
NH White (ref) | --- | --- | --- | --- | --- | --- |
| ||||||
Age (centered) | 0.03 | <0.0001 | 0.02 | <0.0001 | 0.01 | 0.0122 |
Age (centered) squared | -0.0001 | 0.3297 | 0.0001 | 0.1181 | -0.0003 | 0.0082 |
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Female | -0.71 | <0.0001 | -0.09 | 0.0944 | -0.62 | <0.0001 |
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US-born | -0.85 | <0.0001 | -0.63 | <0.0001 | -0.21 | 0.0634 |
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Educational Attainment | ||||||
Grade School | -1.19 | <0.0001 | -0.70 | <0.0001 | -0.51 | <0.0001 |
Some High School | -0.81 | <0.0001 | -0.55 | <0.0001 | -0.27 | 0.0284 |
High School | -0.48 | <0.0001 | -0.40 | <0.0001 | -0.08 | 0.3563 |
Post High School (ref) | --- | --- | --- | --- | --- | --- |
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Family Income | ||||||
Poor | -0.62 | 0.0009 | -0.26 | 0.0361 | -0.35 | 0.0070 |
Low income | -0.41 | 0.0158 | -0.18 | 0.0600 | -0.23 | 0.0692 |
Middle income | -0.31 | 0.0186 | -0.09 | 0.3374 | -0.22 | 0.0203 |
High income (ref) | --- | --- | --- | --- | --- | --- |
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Employment status | ||||||
Employed | 0.23 | 0.2198 | 0.06 | 0.4828 | 0.18 | 0.2842 |
Not in Labor Force | 0.27 | 0.1457 | 0.08 | 0.2585 | 0.18 | 0.2674 |
Unemployed (ref) | --- | --- | --- | --- | --- | --- |
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Region | ||||||
Northeast | 0.12 | 0.5865 | 0.06 | 0.6639 | 0.06 | 0.6651 |
Midwest | 0.01 | 0.9514 | 0.04 | 0.7614 | -0.02 | 0.9040 |
South | -0.27 | 0.1407 | -0.26 | 0.0144 | -0.01 | 0.9512 |
West (ref) | --- | --- | --- | --- | ||
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Intercept | 6.44 | <0.0001 | 2.44 < | 0.0001 | 4.01 | <0.0001 |
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Random Effects | ||||||
Level 1 variance | 9.63 | <0.0001 | 3.32 | <0.0001 | 5.58 | <0.0001 |
Level 2 variance | 1.99 | <0.0001 | 0.55 | <0.0001 | 1.09 | <0.0001 |
Level 3 variance | 0.09 | 0.0309 | 0.05 | 0.0026 | 0.03 | 0.0723 |
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ICC-level 2 (%) 2 | 17.03 | 14.06 | 16.28 | |||
ICC- level 3 (%) 2 | 0.74 | 1.36 | 0.46 | |||
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Fit Statistics | ||||||
-2 Res LL | 77895.8 | 63767.9 | 70686.1 | |||
AIC | 77901.8 | 63773.9 | 70692.1 |
Hierarchical linear models (HLM), or multi-level regressions, were conducted with PROC MIXED using SAS version 9.1. Level 1=individual level, level 2= tract level within counties, and level 3=county level.
ICCs = intra-class correlation coefficients, which provide an estimate of the proportion of total variance in dietary outcome that occurs between geographic areas. Level 2 ICCs provide an estimate of the proportion of variance in dietary outcome that occurs between tracts within counties while level 3 ICCs provide an estimate of the proportion of variance in dietary outcome that occurs between counties.