Variable | Strata | Any Caffeine | Coffee | Tea | Soda | Energy Drink | Gums & Medications |
---|---|---|---|---|---|---|---|
Group | All (n = 23,175) | 243.1 ± 1.5 | 166.6 ± 1.2 | 18.5 ± 0.4 | 15.8 ± 0.2 | 41.0 ± 0.6 | 1.0 ± 0.2 |
Gender | Men (n = 20,040) | 250.7 ± 1.7 | 171.8 ± 1.5 | 17.5 ± 0.4 | 16.5 ± 0.2 | 43.9 ± 0.7 | 1.0 ± 0.2 |
Women (n = 3.135) | 194.5 ± 3.0 | 133.8 ± 2.5 | 25.2 ± 0.9 | 11.5 ± 0.5 | 23.7 ± 1.3 | 1.2 ± 0.3 | |
p-value (ANOVA) | < 0.01 | < 0.01 | < 0.01 | < 0.01 | < 0.01 | 0.60 | |
Age | 18–24 years (n = 3615) | 203.6 ± 4.6 | 108.9 ± 2.7 | 19.5 ± 1.0 | 17.4 ± 0.7 | 56.0 ± 2.1 | 1.8 ± 0.6 |
25–29 years (n = 4746) | 226.1 ± 3.1 | 147.7 ± 2.4 | 16.5 ± 0.7 | 13.1 ± 0.4 | 47.7 ± 1.5 | 1.0 ± 0.2 | |
30–39 years (n = 9875) | 254.7 ± 2.2 | 179.2 ± 1.8 | 17.3 ± 0.5 | 15.5 ± 0.3 | 42.0 ± 0.9 | 0.7 ± 0.2 | |
≥40 years (n = 4821) | 264.8 ± 3.4 | 201.6 ± 2.8 | 22.0 ± 0.8 | 18.0 ± 0.5 | 22.1 ± 1.1 | 1.1 ± 0.4 | |
p-value (ANOVA/trend) | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/0.03 | < 0.01/0.07 | < 0.01/0.01 | 0.15/0.14 | |
Formal Education | Some high school/high school graduate (n = 3099) | 242.3 ± 4.8 | 129.3 ± 1.9 | 20.4 ± 1.3 | 20.9 ± 0.8 | 69.7 ± 2.5 | 1.9 ± 0.4 |
Some college/Associate’s degree (n = 9836) | 243.3 ± 2.4 | 159.5 ± 1.7 | 18.1 ± 0.5 | 16.5 ± 0.4 | 48.3 ± 1.0 | 1.0 ± 0.3 | |
Bachelor’s/Graduate degree (n = 10,234) | 243.0 ± 2.1 | 184.8 ± 1.2 | 18.4 ± 0.5 | 13.6 ± 0.3 | 25.4 ± 0.8 | 0.8 ± 02 | |
p-value (ANOVA/trend) | 0.98/0.88 | < 0.01/< 0.01 | 0.10/0.06 | < 0.01/< 0.01 | < 0.01/< 0.01 | 0.06/0.02 | |
Race / Ethnicity | White (n = 14,827) | 263.5 ± 1.9 | 184.8 ± 1.5 | 18.0 ± 0.4 | 17.3 ± 0.3 | 42.5 ± 0.8 | 0.8 ± 0.2 |
Hispanic (n = 3530) | 227.7 ± 4.1 | 151.8 ± 3.0 | 15.9 ± 0.9 | 13.5 ± 0.6 | 45.3 ± 2.0 | 1.1 ± 0.3 | |
Back (n = 2140) | 158.8 ± 3.8 | 90.9 ± 2.7 | 21.5 ± 1.0 | 13.1 ± 0.7 | 31.1 ± 1.9 | 2.2 ± 0.5 | |
Other (n = 2678) | 217.5 ± 3.9 | 146.3 ± 3.1 | 22.0 ± 1.1 | 12.6 ± 0.6 | 35.3 ± 1.6 | 1.3 ± 0.3 | |
p-value (ANOVA) | < 0.01 | < 0.01 | < 0.01 | < 0.01 | < 0.01 | 0.06 | |
Body mass index | < 25.0 kg/m2 (n = 6629) | 215.7 ± 3.0 | 145.4 ± 2.0 | 19.2 ± 0.7 | 15.1 ± 0.4 | 34.3 ± 1.2 | 1.6 ± 0.5 |
25.0–29.9 kg/m2 (n = 12,163) | 251.2 ± 2.0 | 175.7 ± 1.7 | 17.7 ± 0.5 | 15.2 ± 0.3 | 42.0 ± 0.9 | 0.7 ± 0.1 | |
≥30.0 kg/m2 (n = 3956) | 260.5 ± 3.5 | 172.3 ± 2.9 | 19.2 ± 0.9 | 19.1 ± 0.6 | 48.8 ± 1.5 | 1.1 ± 0.3 | |
p-value (ANOVA/trend) | < 0.01/< 0.01 | < 0.01/< 0.01 | 0.09/0.97 | < 0.01/< 0.01 | < 0.01/< 0.01 | 0.03/0.28 | |
Aerobic exercise weekly duration | < 90 min/wk. (n = 6120) | 235.7 ± 3.0 | 161.0 ± 2.2 | 17.8 ± 0.7 | 16.5 ± 0.4 | 39.2 ± 1.2 | 1.1 ± 0.4 |
90–180 min/wk. (n = 6560) | 236.2 ± 2.4 | 165.3 ± 2.0 | 17.6 ± 0.6 | 16.5 ± 0.4 | 36.3 ± 1.0 | 0.6 ± 0.1 | |
181–300 min/wk. (n = 5218) | 249.1 ± 3.1 | 173.9 ± 2.5 | 17.5 ± 0.7 | 15.1 ± 0.4 | 42.0 ± 1.4 | 0.6 ± 0.1 | |
> 300 min/wk. (n = 5277) | 254.0 ± 3.9 | 167.7 ± 2.8 | 21.5 ± 0.7 | 14.9 ± 0.5 | 48.1 ± 1.6 | 1.8 ± 0.5 | |
p-value (ANOVA/trend) | < 0.01/< 0.01 | < 0.01/0.01 | < 0.01/< 0.01 | 0.01/< 0.01 | < 0.01/< 0.01 | 0.02/0.15 | |
Resistance training weekly duration | ≤45 min/wk. (n = 6650) | 250.8 ± 3.0 | 172.8 ± 2.3 | 21.1 ± 0.7 | 20.6 ± 0.5 | 35.3 ± 1.2 | 1.0 ± 0.3 |
46–135 min/wk. (n = 5636) | 239.3 ± 2.6 | 171.2 ± 2.3 | 18.3 ± 0.7 | 15.8 ± 0.4 | 33.5 ± 1.0 | 0.6 ± 0.1 | |
136–300 min/wk. (n = 5859) | 238.5 ± 2.7 | 166.8 ± 2.2 | 16.3 ± 0.6 | 13.5 ± 0.4 | 41.2 ± 1.2 | 0.8 ± 0.2 | |
≥301 min/wk. (n = 5030) | 242.3 ± 3.9 | 153.2 ± 2.7 | 18.0 ± 0.8 | 12.3 ± 0.4 | 56.9 ± 1.6 | 1.8 ± 0.5 | |
p-value (ANOVA/trend) | 0.01/0.06 | < 0.01/0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | 0.05/0.08 | |
Smoking | Never (n = 14,177) | 215.5 ± 1.8 | 148.2 ± 1.4 | 18.7 ± 0.4 | 14.6 ± 0.3 | 33.0 ± 0.7 | 1.0 ± 0.2 |
Former user (n = 4475) | 278.8 ± 3.4 | 198.4 ± 2.8 | 17.5 ± 0.8 | 15.6 ± 0.5 | 46.3 ± 1.4 | 0.9 ± 0.2 | |
Current user (n = 4222) | 298.7 ± 4.4 | 195.3 ± 3.2 | 19.1 ± 0.9 | 20.3 ± 0.6 | 62.7 ± 1.9 | 1.3 ± 0.5 | |
p-value (ANOVA) | < 0.01 | < 0.01 | 0.34 | < 0.01 | < 0.01 | 0.70 | |
Smokeless tobacco use | Never (n = 17,597) | 226.8 ± 1.6 | 155.8 ± 1.3 | 18.7 ± 0.4 | 15.6 ± 0.3 | 35.8 ± 0.7 | 1.0 ± 0.2 |
Former user (n = 1959) | 294.5 ± 4.7 | 213.9 ± 4.1 | 16.5 ± 1.2 | 14.9 ± 0.7 | 48.6 ± 2.1 | 0.7 ± 0.3 | |
Current user (n = 2938) | 301.5 ± 5.4 | 195.9 ± 3.6 | 18.9 ± 1.3 | 18.2 ± 0.7 | 66.9 ± 2.4 | 1.6 ± 0.7 | |
p-value (ANOVA) | < 0.01 | < 0.01 | 0.20 | < 0.01 | < 0.01 | 0.32 | |
Alcohol intake | 0 ml/wk. (n = 6175) | 218.9 ± 3.1 | 137.6 ± 2.4 | 19.5 ± 0.7 | 17.6 ± 0.5 | 39.5 ± 1.3 | 1.1 ± 0.3 |
0.23–24.85 ml/wk. (n = 5486) | 214.8 ± 2.6 | 149.6 ± 2.2 | 18.2 ± 0.6 | 14.6 ± 0.4 | 29.8 ± 1.1 | 0.5 ± 0.1 | |
24.86–71.69 ml/wk. (n = 5696) | 239.0 ± 2.6 | 169.2 ± 2.2 | 17.2 ± 0.7 | 14.2 ± 0.4 | 35.3 ± 1.1 | 0.7 ± 0.2 | |
≥71.70 ml/wk. (n = 5817) | 299.2 ± 3.6 | 211.1 ± 2.6 | 19.3 ± 0.8 | 16.7 ± 0.5 | 45.8 ± 1.5 | 1.8 ± 0.5 | |
p-value (ANOVA/trend) | < 0.01/< 0.01 | < 0.01/< 0.01 | 0.05/0.60 | < 0.01/0.17 | < 0.01/< 0.01 | 0.02/0.13 | |
Sleep | ≥7 h/night (n = 8530) | 221.8 ± 2.1 | 158.8 ± 1.7 | 17.3 ± 0.5 | 14.1 ± 0.3 | 29.0 ± 0.8 | 0.1 ± 0.0 |
5–6 h/night (n = 9110) | 263.3 ± 2.4 | 177.4 ± 2.0 | 18.8 ± 0.6 | 17.7 ± 0.4 | 45.4 ± 1.0 | 0.2 ± 0.1 | |
< 4 h/night (n = 918) | 337.7 ± 11.9 | 199.4 ± 9.0 | 27.2 ± 2.6 | 21.2 ± 1.6 | 67.4 ± 4.7 | 6.4 ± 2.8 | |
p-value (ANOVA/trend) | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | < 0.01/< 0.01 | |
Rank | Junior enlisted, E1–E4 (n = 1869) | 197.4 ± 6.9 | 103.3 ± 3.8 | 20.3 ± 1.5 | 18.3 ± 0.9 | 53.4 ± 2.9 | 2.0 ± 1.1 |
Mid enlisted, E4–E6 (n = 9891) | 238.6 ± 2.3 | 148.0 ± 1.8 | 18.6 ± 0.6 | 16.6 ± 0.4 | 54.2 ± 1.1 | 1.2 ± 0.2 | |
Senior enlisted, E7–E9 (n = 3971) | 270.2 ± 4.2 | 194.1 ± 3.2 | 18.0 ± 0.9 | 17.2 ± 0.6 | 39.6 ± 1.6 | 1.3 ± 0.5 | |
Warrant Officer (n = 537) | 251.8 ± 8.2 | 190.0 ± 7.8 | 17.1 ± 2.0 | 12.8 ± 1.3 | 31.9 ± 3.1 | 0.1 ± 0.1 | |
Junior officer, O1–O3 (n = 3436) | 233.6 ± 3.4 | 179.7 ± 2.8 | 16.6 ± 0.8 | 10.5 ± 0.5 | 26.3 ± 1.4 | 0.4 ± 0.1 | |
Senior officer, O4–O7 (n = 3471) | 257.3 ± 3.1 | 206.1 ± 3.0 | 19.9 ± 0.8 | 16.4 ± 0.6 | 14.4 ± 0.9 | 0.4 ± 0.1 | |
p-value (ANOVA) | < 0.01 | < 0.01 | 0.09 | < 0.01 | < 0.01 | 0.10 | |
Occupational assignment group | Combat arms (n = 6451) | 260.7 ± 3.0 | 183.8 ± 2.4 | 16.8 ± 0.7 | 14.8 ± 0.4 | 44.3 ± 1.3 | 1.0 ± 0.2 |
Combat support (n = 10,424) | 236.8 ± 2.4 | 158.7 ± 1.8 | 18.5 ± 0.6 | 15.9 ± 0.4 | 42.9 ± 1.0 | 0.8 ± 0.3 | |
Combat service support (n = 9132) | 238.1 ± 2.6 | 164.1 ± 2.1 | 19.6 ± 0.6 | 16.5 ± 0.4 | 36.6 ± 1.2 | 1.3 ± 0.3 | |
p-value (ANOVA) | < 0.01 | < 0.01 | 0.01 | 0.02 | < 0.01 | 0.44 | |
Service branch | Air Force (n = 8443) | 215.0 ± 2.3 | 145.2 ± 1.7 | 17.7 ± 0.6 | 16.0 ± 0.4 | 35.9 ± 1.0 | 0.8 ± 0.3 |
Army (n = 6907) | 251.5 ± 2.9 | 173.6 ± 2.3 | 18.6 ± 0.7 | 15.5 ± 0.6 | 42.0 ± 1.2 | 1.3 ± 0.3 | |
Marine Corps (n = 2707) | 269.7 ± 5.2 | 172.6 ± 3.9 | 16.7 ± 1.1 | 16.4 ± 0.5 | 63.7 ± 2.5 | 1.3 ± 0.4 | |
Navy (n = 5118) | 263.9 ± 3.0 | 189.4 ± 2.6 | 20.7 ± 0.7 | 15.8 ± 0.2 | 36.3 ± 1.2 | 1.0 ± 0.2 | |
p-value (ANOVA) | < 0.01 | < 0.01 | < 0.01 | 0.36 | < 0.01 | 0.58 |