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. Author manuscript; available in PMC: 2022 Aug 1.
Published in final edited form as: Eat Behav. 2021 May 8;42:101520. doi: 10.1016/j.eatbeh.2021.101520

Table 4.

Overall prevalence and associations between sociodemographic characteristics and weight-related self-monitoring (WRSM) patterns among females

Demographic Overall “no WRSM” “high WRSM” p-value
Overall prevalence 299 (67.0) 147 (33.0)
Race/Ethnicity .78
 White 298 (66.8) 199 (66.6) 99 (67.4)
 Black or African 22 (4.9) 13 (4.4) 9 (6.1)
 American
 Hispanic/Latina 23 (5.2) 14 (4.7) 9 (6.1)
 Asian 57 (12.8) 40 (13.4) 17 (11.6)
 Other 46 (10.3) 33 (11.0) 13 (8.8)
Parent Education .57
 High school or less 39 (8.8) 27 (9.1) 12 (8.2)
 Some college or training 48 (10.8) 34 (11.4) 14 (9.5)
 Bachelor’s degree 144 (32.4) 90 (30.2) 54 (36.7)
 Graduate degree 214 (48.1) 147 (49.3) 67 (45.6)
BMI Category .0007
 <18.5 27 (6.1) 24 (8.1) a 3 (2.0) a
 18.5–24.9 306 (69.2) 211 (71.5) a 95 (64.6) a
 25–29.9 70 (15.8) 43 (14.6) a 27 (18.4) a
 ≥30.0 39 (8.8) 17 (5.8) a 22 (15.0) b
Age .79
 18 289 (64.8) 104 (34.8) 53 (36.1)
 19–22 157 (35.2) 195 (65.2) 94 (64.0)
Mean (SD)
BMI 23.4 (4.6) 22.6 (4.1) a 24.9 (5.3) b <.0001
*

Superscripts are results of pairwise comparisons of proportions across identified patterns of WRSM within a row at p<.01; the same letter present at each prevalence indicates lack of statistical difference.

WRSM = weight-related self-monitoring; BMI = body mass index; SD = standard deviation