Skip to main content

Table 1 Characteristics of hormone user bodybuilders, non user bodybuilders and controls

From: Metabolic Consequences of Anabolic Steroids, Insulin, and Growth Hormone Abuse in Recreational Bodybuilders: Implications for the World Anti-Doping Agency Passport

 

BBINS

(n = 15)

BBGH

(n = 12)

BBAAS

(n = 13)

BBNU

(n = 52)

CTRL

(n = 45)

One-way ANOVA

p (η2)

Effect Size*

Age (year)

28 ± 2

26 ± 1

28 ± 1

32 ± 1e

25 ± 1d

0.01

0.1 (-0.4–0.6)

Training hours/week

10 ± 1

9 ± 1

7 ± 1

8 ± 1

-

0.48

-

Height (cm)

181.6 ± 1.2

180.1 ± 1.7

180.6 ± 1.5

181.0 ± 0.7

180.7 ± 1.1

0.97

-

Weight (kg)

98.2 ± 3.7d,e

93.1 ± 4.9d,e

89.6 ± 4.2e

84.3 ± 1.7a,b

80.0 ± 2.1a,b,c

< 0.001

1.0 (0.4–1.5)

BMI (kg/m2)

29.7 ± 1.0d,e

28.6 ± 1.2d,e

27.4 ± 1.2e

25.6 ± 0.4a,b

24.4 ± 0.5a,b,c

< 0.001

1.1 (0.5–1.6)

Fat mass (%)

11.8 ± 1.0e

10.9 ± 0.5e

10.9 ± 0.4e

12.7 ± 0.5e

16.0 ± 0.8a,b,c,d

< 0.001

-0.4 (-0.9–0.15)

Fat free mass (%)

88.2 ± 1.0e

89.1 ± 0.5e

89.1 ± 0.4e

87.3 ± 0.5e

84.0 ± 0.8a,b,c,d

< 0.001

0.4 (-0.15–0.9)

Fat free mass index (kg/m2)

26.2 ± 0.8d,e

25.5 ± 1.0d,e

24.4 ± 1.0d,e

22.3 ± 0.3a,b,c,e

20.4 ± 0.3a,b,c,d

< 0.001

1.3 (0.8–1.9)

Vastus lateralis contraction time (ms)

24 ± 1d,e

23 ± 0d,e

23 ± 1d,e

28 ± 1a,b,c

29 ± 1a,b,c

< 0.001

-0.7 (-1.3 - -0.05)

Biceps femoris contraction time (ms)

25 ± 1b,e

21 ± 1a,c,d,e

26 ± 2b,e

27 ± 1b,e

32 ± 1a,b,c,d

< 0.001

-0.2 (-0.8–0.4)

  1. Values are expressed as mean ± SEM. BBINS, bodybuilders abusing insulin alone (n = 1) or in association with anabolic androgenic steroids (n = 3) or with anabolic androgenic steroids and growth hormone (n = 11); BBGH, bodybuilders abusing growth hormone alone (n = 1) or in association with anabolic androgenic steroids (n = 11); BBAAS, bodybuilders abusing only anabolic androgenic steroids; BBNU, bodybuilders not using hormones; CTRL, non-bodybuilders. Statistical analysis was performed using One-way ANOVA with Bonferroni post hoc analysis
  2. a, significant difference from BBINS (P < 0.05); b, significant difference from BBGH (P < 0.05); c, significant difference from BBAAS (P < 0.05); d, significant difference from BBNU (P < 0.05); e, significant difference from CTRL (P < 0.05).
  3. *Effect size is calculated to quantify differences between BBINS group versus all the other groups. If post-hoc analysis showed a difference between BBINS and more than one group, both pooled average and standard deviation of these groups were considered to assess effect size. < 0.2 low probability; 0.2–0.8 medium probability; > 0.8 strong probability. Effect size is expressed as point estimate and confidence intervals (95%)