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. Author manuscript; available in PMC: 2021 Nov 22.
Published in final edited form as: Biodemography Soc Biol. 2021 Apr-Jun;66(2):132–144. doi: 10.1080/19485565.2020.1869919

Table 3.

College education and the education polygenic score (PGS) predicting obesity: Odds ratios from logistic regressions

Model 1 Model 2 Model 3

Independent variable

College degree vs. no college degree 0.61*** 0.62*** 0.75*
High education PGS vs. low education PGS ------ 0.95 1.04
College degree × High education PGS ------ ------ 0.71*
Age 1.03 1.03 1.03
Female vs. male 0.97 0.98 0.98
Parental education
 High school vs. below high school 0.97 0.96 0.95
 More than high school vs. below high school 0.77* 0.76* 0.75*
Lived with two biological parents vs. no 1.03 1.05 1.04
Verbal IQ (PVT) score 1.00 1.00 1.00
Self-control 0.94*** 0.94*** 0.94***
Employed vs. unemployed 1.04 1.06 1.06
Married vs. unmarried 1.13 1.13 1.12
Household size 1.07** 1.07** 1.07**
Weekly physical activitya
 1 to 4 bouts vs. 0 bouts 0.88 0.88 0.88
 5 bouts or more vs. 0 bouts 1.02 1.04 1.03
Composite inactivity scorea
 Medium vs. low 1.40*** 1.43*** 1.43***
 High vs. low 1.50*** 1.54*** 1.54***
BMI PGS ------ 1.46*** 1.47***
−2 Log-likelihood 6553.29 6553.29 6553.29
LR Chi-square 194.99*** 378.85*** 377.06***
N 5,105 5,105 5,105

Note: An odds ratio greater than 1 indicates a higher likelihood of being obese.

*

p < .05

**

p < .01

***

p < .001 (two-tailed tests)