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Table 4 Regression Models for Home Food Environments, Dietary Intake and Overweight/Obesity

From: Home food environment and associations with weight and diet among U.S. adults: a cross-sectional study

Feature of the Home Food Environment

Logistic Regression Model

Met Fruit & Vegetable Guidelines (n = 4921)

Multiple Regression Model for Percent Calories from Fat (n = 4917)

Logistic Regression Model for Overweight/Obesity (n = 4735)

 

OR

(95% CI)

b

SE

p-value

OR

(95% CI)

Fruit & vegetable inventory

1.09

(1.08, 1.11)

0.06

0.01

<.0001

0.98

(0.97, 0.99)

Salty snacks/sweets inventory

1.06

(1.01, 1.12)

0.23

0.04

<.0001

1.00

(0.97, 1.04)

Less healthy beverages inventory

0.95

(0.86, 1.04)

0.51

0.07

<.0001

1.04

(0.97, 1.12)

Food placement

1.49

(1.28, 1.74)

−0.37

0.11

0.0008

1.04

(0.94, 1.15)

Meal preparation

1.48

(1.25, 1.76)

−0.45

0.13

0.0006

1.02

(0.90, 1.16)

Portion control

1.04

(0.91, 1.18)

0.08

0.10

0.4024

1.03

(0.94, 1.13)

Restaurant food for family meals

1.73

(1.54, 1.94)

2.17

0.10

<.0001

0.97

(0.88, 1.06)

Family TV and eating

0.97

(0.89, 1.06)

0.32

0.07

<.0001

1.14

(1.07, 1.21)

Grocery shopping for fruit

1.52

(1.14, 2.01)

−0.50

0.18

0.0047

0.95

(0.80, 1.13)

Own scale

1.04

(0.84, 1.29)

−0.01

0.16

0.9327

0.98

(0.84, 1.13)

TV in dining area

1.36

(1.11, 1.67)

0.29

0.15

0.0601

0.99

(0.86, 1.14)

  1. All models controlled for gender, race, age, income and neighborhood rurality/urbanicity