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Table 1 Sample Demographics of Dating App Users and Non-Users (N = 1726)

From: Dating app use and unhealthy weight control behaviors among a sample of U.S. adults: a cross-sectional study

  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)
  1. 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
  2. aOther marital status includes participants who were separated or divorced
  3. bIncludes products such as creatine, amino acids, DHEA, hydroxyl methylbutyrate [HMB], or growth hormone