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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Am J Obstet Gynecol. 2015 May 14;213(3):350.e1–350.e10. doi: 10.1016/j.ajog.2015.05.015

Table 3.

Univariate analysis of factors associated with weight loss attempts

Factor Any weight loss attempt MD guided weight loss attempt

X2, n (%) p value X2, n (%) p value

Agea 2.00 0.1578 1.00 0.3176

Race
    Black (n=12) 4 (33.33%) 0.0557* 0 (0.00%) 0.0285*
    White (n=88) 55 (62.50%) 17 (19.32%)

Distance
    Milesa 1.09 0.2954 2.30 0.1294
    Minutesa 1.33 0.2493 2.27 0.1320

Estmated Household Incomea,b 0.13 0.7156 0.01 0.9323

Baseline weighta 0.05 0.8149 0.49 0.4819

BMI in kg/m2a 0.00 0.9564 0.07 0.7946

Charlson Comorbidity Indexa 0.21 0.6474 0.03 0.8686
    < 5 (n=76) 44 (57.89%) 0.6822 12 (15.79%) 0.5734
    ≥ 5 (n=24) 15 (62.5%) 5 (20.83%)

Pathology
    Complex atypical hyperplasia (n=8) 7 (87.5%) 0.0662 2 (25.00%) 0.5300
    Endometrial cancer (n=92) 52 (56.52%) 15 (16.30%)

Treatment
    Surgical (n=93) 54 (58.06%) 0.4793 16 (17.20%) 0.8396
    Nonsurgical (n=7) 5 (71.43%) 1 (1.08%)

Postop complications (no vs yes)
    No (n=72) 43 (59.72%) 0.5500 15 (20.83%) 0.0556
    Yes (n=21) 11 (52.38%) 1 (4.76%)

Surgical approach
    Minimally invasive surgery (n=70) 39 (55.71%) 0.4198 11 (15.71%) 0.5152
    Laparotomy (n=23) 15 (65.22%) 5 (21.74%)

Adjuvant therapy
    Yes (n=28) 17 (60.71%) 0.7335 3 (10.71%) 0.2590
    No (n=65) 37 (56.92%) 13 (20.00%

Treatment status at time of approach
    Treatment ongoing (n=16) 10 (62.5%) 0.7552 2 (12.5%) 0.5892
    Treatment completed (n=84) 49 (58.33%) 15 (17.86%)

Time from diagnosis when approacheda 0.45 0.5018 1.36 0.2427
    < 1 year from diagnosis (n=45) 28 (62.22%) 0.5530 7 (15.56%) 0.7273
    ≥ 1 year from diagnosis (n=55) 31 (56.36%) 10 (18.18%)

Time from surgerya 0.04 0.8423 0.97 0.3237
    < 1 year from surgery (n=43) 26 (60.47%) 0.6033 8 (18.60%) 0.5762
    ≥ 1 year from surgery (n=49) 27 (55.10%) 7 (14.29%)
a

As a continuous variable tested with student t-tests.

b

Household income was estimated using published US census data regarding zip code median household incomes