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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Soc Sci Med. 2018 Sep 27;217:45–54. doi: 10.1016/j.socscimed.2018.09.055

Table 3.

Fixed-Effects Linear Regression Models Predicting Body Mass Index: Hispanic National Longitudinal Survey of Youth Respondents, 1981–2010

Model A Model B Model C

Independent Variables Coef. S.E. Coef. S.E. Coef. S.E.
  Marital Status (1= married)  0.611*** 0.062  0.612*** 0.062  0.613*** 0.062
  Educational Attainment (ref.=college or above)
    Less than high school −0.382+ 0.213 −0.390+ 0.213 −0.392+ 0.213
    High school graduate  0.059 0.181  0.056 0.181  0.054 0.181
    Some college  0.307* 0.151  0.313* 0.151  0.311* 0.151
  Weekly hours worked  0.002 0.001  0.002 0.001  0.002 0.001
  Adjusted family income (in $10,000s) −0.003 0.003 −0.003 0.003 −0.003 0.003
  Receiving public assistance (= 1) −0.117 0.134 −0.112 0.134 −0.113 0.134
Immediate Neighborhood Variables
  Proportion Hispanic  0.452** 0.162  0.250 0.194  0.283 0.214
  Poverty Rate −0.519 0.315 −0.115 0.366 −0.150 0.390
Cumulative Exposure to Immediate Neighborhood Variables
  Proportion Hispanic  1.057* 0.534  1.056* 0.534
  Poverty Rate −2.288* 1.067 −2.294* 1.067
Extralocal Neighborhood Variables
  Proportion Hispanic −0.082 0.214
  Poverty Rate  0.084 0.382
Constant 22.962*** 0.213 23.007*** 0.258 23.009*** 0.259

R2 squared (within) 0.40 0.40 0.40
Number of Persons 1,476 1,476 1,476

Number of Person-years 14,926 14,926 14,926
+

p< 0.1

*

p< 0.05

**

p< 0.01

***

p< 0.001.

Note: All models include dummy variables for year of observation (coefficients not shown).