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. 2019 Jun;10(3):137–144. doi: 10.24171/j.phrp.2019.10.3.04

Table 2.

Multilevel linear regression of socio-demographic status and BMI among US adults (≥ 18 years) (N = 159,827).

Model I Model II Model III
Coef (SE) Coef (SE) Coef (SE)
Fixed effect (individual level)

Intercept 28.147*** (0.071) 27.105*** (0.103) 27.058*** (0.118)

Gender Male 0.600*** (0.033) 0.592*** (0.040)
Female (Ref)

Age (y) ≥ 45 0.721*** (0.037) 0.709*** (0.052)
18–44 (Ref)

Education level ≥ College −0.790*** (0.036) −0.743*** (0.049)
< College (Ref)

Race Non-White or Hispanic 1.067*** (0.043) 1.008*** (0.079)
Non-Hispanic White (Ref)

Income level ≥ $50,000 −0.295*** (0.037) −0.292*** (0.039)
< $50,000 (Ref)

Region Northeast −0.359* (0.166) −0.293 (0.195)
Midwest 0.432** (0.142) 0.504** (0.165)
West −0.657*** (0.160) −0.576** (0.187)
Puerto Rico −1.468* (0.618) −1.227 (0.927)
South (Ref)

Physical activity No 1.800*** (0.040) 1.800*** (0.040)
Yes (Ref)

Fruit consumption ≤ 1 per mo 0.427*** (0.036) 0.422*** (0.036)
≥ 1 per wk (Ref)

Random effect (Between MMSAs)

Intercept 0.774*** (0.053) 0.596*** (0.043) 0.653*** (0.053)

Slopes for gender 0.192*** (0.052)

Slopes for age 0.350*** (0.046)

Slopes for education level 0.324*** (0.052)

Slopes for race 0.654*** (0.073)

Slopes for income level 0.106*** (0.078)
*

p < 0.05,

**

p < 0.01

***

p < 0.001

BMI = body mass index; MMSA = metropolitan and micropolitan statistical area.