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. Author manuscript; available in PMC: 2016 May 1.
Published in final edited form as: Soc Sci Med. 2015 Mar 5;133:205–211. doi: 10.1016/j.socscimed.2015.03.004

Table 2.

Multiple regression results of dietary intake frequencies and BMI measures between 2007 and 2012, California Health Interview Survey, 2007, 2009, and 2011–2012

Outcome Explanatory variablea Los Angeles County (N=29,704)b
Los Angeles City (N=11,268)c
Test statistic valued Test statistic valued
BMI measures BMI Interaction 1.49 1.42
Overweight or obese (BMI≥25) Interaction 2.38 2.09
Obese (BMI≥30) Interaction 0.66 0.56
Dietary intake frequencies Fast-food Interaction 1.02 1.16
Sugar-sweetened soft drinks Interaction −0.33 −0.97
Fruits Interaction 0.56 1.34
Vegetables Interaction −1.03 −0.85

Source: Authors’ analysis of the California Health Interview Survey data.

a

The variable “interaction” is an interaction term between the indicator of residing in South Los Angeles (1 if yes; 0 otherwise)and the CHIS wave in a linear form centered at 2007 (2007 entered as 0, 2009 as 2, and 2010–2011 as 4). Individual- and census tract–level characteristics were controlled for, but are not presented here.

b

The subsample includes residents of South Los Angeles and residents of the other parts of Los Angeles County interviewed in 2007, 2009, or 2011–2012 wave.

c

The subsample includes residents of South Los Angeles and residents of the other parts of Los Angeles City interviewed in 2007, 2009, or 2011–2012 wave.

d

Test statistic values for the coefficient test are presented in parentheses, with a statistical significance at the level of .05 in bold fonts. The test statistic values are z-values for dietary intake frequencies (fast-food, sugar-sweetened soft drinks, fruits, and vegetables) and for BMI≥25 and BMI≥30, and t-value for BMI.