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. 2017 Jul 25;2017:9502643. doi: 10.1155/2017/9502643

Table 4.

Mean HOMA-IR values across BMI sex-specific quintiles, without and with control of the covariates.

Variable controlled BMI quintiles§ F P
Quintile 1
mean ± SE
Quintile 2
mean ± SE
Quintile 3
mean ± SE
Quintile 4
mean ± SE
Quintile 5
mean ± SE
None 1.04 ± 0.03a 1.36 ± 0.03b 1.94 ± 0.05c 2.60 ± 0.08d 4.31 ± 0.17e 448.54 <0.0001
Demographics 1.10 ± 0.06a 1.41 ± 0.05b 1.99 ± 0.06c 2.65 ± 0.10d 4.37 ± 0.16e 431.10 <0.0001
Demographics and lifestyle 1.11 ± 0.05a 1.42 ± 0.05b 2.01 ± 0.06c 2.65 ± 0.10d 4.35 ± 0.16e 464.39 <0.0001
Demographics, lifestyle, BF%5 1.48 ± 0.06a 1.59 ± 0.05b 2.02 ± 0.06c 2.50 ± 0.10d 3.95 ± 0.14e 141.88 <0.0001

§BMI quintiles are sex-specific. For each quintile, n represents the unweighted sample size and the percentage reflects the weighted proportion of the sample in that quintile, which represents the US adult population: Q1 (n = 1084; 20.0%), Q2 (n = 1135; 20.0%), Q3 (n = 1261; 20.0%), Q4 (n = 1262; 20.0%), Q5 (n = 1241; 20.0%). Total n = 5983. Demographic covariates included age, sex, race, and year of assessment. Lifestyle covariates included moderate physical activity, vigorous physical activity, and smoking. Means on the same row have been adjusted for differences in the covariates listed in the first column. a,b,c,d,eMeans on the same row with the same superscript letter are not significantly different. For this table, each mean is significantly different from each other mean (P < 0.05). BF%5 represents the variable, body fat percentage, which was divided into sex-specific quintiles.