Table 5.
Servings of Fruit and Vegetables Combined3 (n=13,281) | Servings of Fruit (n=13,310) | Servings of Vegetables (n=13,296) | ||||
---|---|---|---|---|---|---|
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NSES Effect by Race/Ethnicity2 | Coeff | P-value | Coeff | P-value | Coeff | P-value |
NSES for Mexican Am | 0.18 | 0.0040 | 0.08 | 0.0346 | 0.09 | 0.0878 |
NSES for NH Black | 0.13 | 0.0283 | 0.08 | 0.0423 | 0.05 | 0.2334 |
NSES for ‘Other’ | 0.35 | 0.0485 | 0.12 | 0.2311 | 0.23 | 0.1054 |
NSES for NH White | 0.35 | <0.0001 | 0.19 | 0.0004 | 0.14 | 0.0198 |
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Random Effects | ||||||
Level 1 variance | 9.62 | <0.0001 | 3.32 | <0.0001 | 5.58 | <0.0001 |
Level 2 variance | 1.98 | <0.0001 | 0.55 | <0.0001 | 1.09 | <0.0001 |
Level 3 variance | 0.06 | 0.0599 | 0.04 | 0.0072 | 0.03 | 0.0704 |
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ICC-level 2 (%) 4 | 16.96 | 13.95 | 16.28 | |||
ICC-level 3 (%) 4 | 0.53 | 1.06 | 0.44 | |||
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Fit Statistics | ||||||
-2 Res LL | 77877.0 | 63759.1 | 70687.7 | |||
AIC | 77883.0 | 63765.1 | 70693.7 |
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. All models are adjusted for age, age-squared, gender, nativity, educational attainment, family income, employment status, and region of residence and include race/ethnicity, NSES, and NSES*race/ethnicity. Complete results are available from the authors.
We used the Estimate statement within PROC MIXED models to directly estimate the effect of NSES for each racial/ethnic group (NSES+NSES*Race/Ethnicity) and test whether each effect is significantly different from zero.
The effect of NSES on combined fruit and vegetable intake for Whites is significantly different from that for Mexican-Americans (P=0.03) and Blacks (P=0.01). There was no significant difference relative to Whites in the effect of NSES on fruit intake or vegetable intake for Mexican-Americans or Blacks. Furthermore, there was no significant difference between Blacks and Mexican-Americans in the effect of NSES on any of the dietary outcomes.
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.