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. Author manuscript; available in PMC: 2023 Jan 19.
Published in final edited form as: Soc Curr. 2020 Dec 22;8(3):270–292. doi: 10.1177/2329496520978540

Table 3.

Logistic Regression Models Predicting Overweight by Poverty and School Contexts (n = 18,924).

Coefficient (Standard error)
Model 1 Model 2 Model 3
Poverty Measures
 Individual-Level Poverty (income-to-needs below 185%) 0.078
(0.087)
0.076
(0.087)
0.068
(0.088)
 School-Level Poverty (proportion income-to-needs below 185%) 0.865***
(0.239)
0.018
(0.139)
0.141
(0.143)
School Weight Status (proportion overweight) 5.060***
(0.286)
4.849***
(0.312)
School Resource Factors
 Proportion in school involved in athletics 0.270
(0.197)
 Number of days per week students attend physical education −0.003
(0.016)
 Presence of weight loss program at school −0.004
(0.050)
School Stress Environment Factors
 School connectedness 0.045
(0.065)
 Degree to which students feel they fit in at school 0.147
(0.098)
 Degree to which students feel attached to teachers at school −0.017
(0.100)
 Violence at school −0.189*
(0.087)
 Truancy at school 0.458*
(0.162)

Note. All models are multilevel models with individual and school weights applied, control for individual and school-level covariates, and adjust for missing data. With the exception of the individual level of poverty, all variables shown above measured at the school level.

p < .10.

*

p < .05.

**

p < .01.

***

p < .001.