Table 1.
Females | Males | Total | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
n = 1098 (63.6%) | n = 628 (36.4%) | N = 1726 (100.0%) | |||||||||
Characteristic | App Users (n = 183) | Non-users (n = 915) | χ2 | df | p-value | App Users (n = 209) | Non-users (n = 419) | χ2 | df | p-value | |
Age (years), n (%) | 20.99 | 3 | 0.0001* | 23.55 | 3 | ||||||
18–25 | 74 (40.4) | 236 (25.8) | 79 (37.8) | 101 (24.1) | < 0.0001* | 490 (28.4) | |||||
> 25–30 | 52 (28.4) | 251 (27.4) | 71 (34.0) | 118 (28.2) | 492 (28.5) | ||||||
> 30–40 | 41 (22.4) | 276 (30.2) | 40 (19.1) | 135 (32.2) | 492 (28.5) | ||||||
> 40 | 16 (8.8) | 152 (16.6) | 19 (9.1) | 65 (15.5) | 252 (14.6) | ||||||
Race, n (%) | 4.84 | 4 | 11.70 | 4 | |||||||
White Non-Hispanic | 118 (64.5) | 635 (69.4) | 0.3045 | 128 (61.2) | 299 (71.4) | 0.0197* | 1180 (68.4) | ||||
Hispanic | 18 (9.8) | 56 (6.1) | 17 (8.1) | 29 (6.9) | 120 (7.0) | ||||||
Black | 16 (8.7) | 93 (10.2) | 28 (13.3) | 25 (6.0) | 162 (9.4) | ||||||
Asian | 17 (9.3) | 67 (7.3) | 19 (9.1) | 34 (8.1) | 137 (7.9) | ||||||
Other or Mixed | 14 (7.7) | 64 (7.0) | 17 (8.1) | 32 (7.6) | 127 (7.3) | ||||||
Household Income ($), n (%) | 9.15 | 4 | 14.26 | 4 | |||||||
< 25 k | 36 (19.6) | 113 (12.3) | 0.0574 | 34 (16.3) | 41 (9.8) | 0.0065* | 224 (13.0) | ||||
25 – 50 k | 49 (26.8) | 268 (29.3) | 51 (24.4) | 93 (22.2) | 461 (26.7) | ||||||
> 50 – 75 k | 47 (25.7) | 217 (23.7) | 59 (28.2) | 98 (23.4) | 421 (24.4) | ||||||
> 75 – 100 k | 25 (13.7) | 138 (15.1) | 33 (15.8) | 78 (18.6) | 274 (15.9) | ||||||
> 100 k | 26 (14.2) | 179 (19.6) | 32 (15.3) | 109 (26.0) | 346 (20.0) | ||||||
Sexual Orientation, n (%) | 7.48 | 2 | 11.75 | 2 | |||||||
Heterosexual or Straight | 147 (80.3) | 803 (87.7) | 0.0237* | 173 (82.8) | 385 (91.8) | 0.0028* | 1508 (87.4) | ||||
Bisexual | 28 (15.3) | 83 (9.1) | 17 (8.1) | 17 (4.1) | 145 (8.4) | ||||||
Gay or Lesbian | 8 (4.4) | 29 (3.2) | 19 (9.1) | 17 (4.1) | 73 (4.2) | ||||||
Marital Statusa, n (%) | 83.58 | 2 | 49.17 | 2 | |||||||
Never Married | 127 (69.4) | 358 (39.1) | < 0.0001* | 140 (67.0) | 176 (42.0) | < 0.0001* | 801 (46.4) | ||||
Married | 30 (16.4) | 488 (53.4) | 52 (24.9) | 227 (54.2) | 797 (46.2) | ||||||
Other | 26 (14.2) | 69 (7.5) | 17 (8.1) | 16 (3.8) | 128 (7.4) | ||||||
Fasting for Weight Control, n (%) | 30.61 | 1 | 43.28 | 1 | |||||||
Yes | 82 (44.8) | 248 (27.1) | < 0.0001* | 113 (54.1) | 113 (27.0) | < 0.0001* | 556 (32.2) | ||||
No | 101 (55.2) | 667 (72.9) | 96 (45.9) | 306 (73.0) | 1170 (67.8) | ||||||
Vomiting for Weight Control, n (%) | 50.58 | 1 | 100.15 | 1 | |||||||
Yes | 41 (22.4) | 54 (5.9) | < 0.0001* | 76 (36.4) | 22 (5.3) | < 0.0001* | 193 (11.2) | ||||
No | 142 (77.6) | 861 (94.1) | 133 (63.6) | 397 (94.7) | 1533 (88.8) | ||||||
Laxative Use, n (%) | 30.61 | 1 | 100.15 | 1 | |||||||
Yes | 44 (24.0) | 85 (9.3) | < 0.0001* | 86 (41.1) | 32 (7.6) | < 0.0001* | 247 (14.3) | ||||
No | 139 (76.0) | 830 (90.7) | 123 (58.9) | 387 (92.4) | 1479 (85.7) | ||||||
Diet Pill Use, n (%) | 35.22 | 1 | 121.53 | 1 | |||||||
Yes | 49 (26.8) | 94 (10.3) | < 0.0001* | 84 (40.2) | 21 (5.0) | < 0.0001* | 248 (14.4) | ||||
No | 134 (73.2) | 821 (89.7) | 125 (59.8) | 398 (95.0) | 1478 (85.6) | ||||||
Anabolic Steroid Use, n (%) | 82.40 | 1 | 115.54 | 1 | |||||||
Yes | 29 (15.8) | 13 (1.4) | < 0.0001* | 76 (36.4) | 16 (3.8) | < 0.0001* | 134 (7.8) | ||||
No | 154 (84.2) | 902 (98.6) | 133 (63.6) | 403 (96.2) | 1592 (92.2) | ||||||
Muscle Building Supplementb, n (%) | 43.50 | 1 | 66.66 | 1 | |||||||
Yes | 37 (20.2) | 50 (5.5) | < 0.0001* | 104 (49.8) | 76 (18.1) | < 0.0001* | 267 (15.5) | ||||
No | 146 (79.8) | 865 (94.5) | 105 (50.2) | 343 (81.9) | 1459 (84.5) |
Total dating app users was 392 (46.7% females, 53.3% males). *Indicates a p-value < 0.05. Chi-square (χ2) tests were used to compare differences between dating app users versus non-users. df = degrees of freedom
aOther marital status includes participants who were separated or divorced
bIncludes products such as creatine, amino acids, DHEA, hydroxyl methylbutyrate [HMB], or growth hormone