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. 2023 Apr 19;80(6):597–609. doi: 10.1001/jamapsychiatry.2023.0685

Table. Descriptive Statistics for Patients With Major Depressive Disorder (MDD) and Control Individuals and Recurrent Depression.

Characteristic No. (%)
Lifetime MDD Recurrent MDD
Control (n = 51 446) MDD (n = 6811) P value Control (n = 62 508) MDD (n = 4370) P value
Age, median (IQR), y 58 (51-64) 56 (49-62) <1 × 10−10 58 (50-63) 56 (49-62) <1 × 10−10
Sex
Female 24 535 (48) 4447 (65) <1 × 10−10 30 637 (49) 2870 (66) <1 × 10−10
Male 26 911 (52) 2364 (35) 31 871 (51) 1500 (34)
BMI, median (IQR) 26.62 (24.16-29.6) 26.76 (24.09-30.16) 1.54 × 10−4 26.64 (24.13-29.68) 26.81 (24.05-30.37) 2.49 × 10−4
Fasting time, median (IQR) 1.1 (0.69-1.39) 1.1 (1.1-1.39) 1.10 × 10−9 1.1 (0.69-1.39) 1.1 (1.1-1.39) 1.42 × 10−8
Race and ethnicitya
Asianb 918 (2) 121 (2) 1.97 × 10−8 1317 (2) 86 (2) 9.85 × 10−5
Blackc 694 (1) 109 (2) 982 (2) 78 (2)
Chinese 175 (0) 10 (0) 240 (0) 8 (0)
Whited 49 006 (95) 6437 (95) 59 065 (94) 4108 (94)
Mixede 222 (0) 64 (1) 279 (0) 40 (1)
Otherf 431 (1) 70 (1) 625 (1) 50 (1)
Education
A levels, AS levels, or equivalent 5767 (11) 867 (13) 1 × 10−10 6951 (11) 540 (12) 1 × 10−10
CSEs or equivalent 2591 (5) 367 (5) 3319 (5) 236 (5)
College or university degree 17 398 (34) 2505 (37) 20 775 (33) 1645 (38)
NVQ or HND or HNC or equivalent 3676 (7) 407 (6) 4411 (7) 260 (6)
O levels, GCSEs, or equivalent 10 909 (21) 1518 (22) 13 310 (21) 965 (22)
Other professional qualifications 2877 (6) 355 (5) 3382 (5) 232 (5)
None 8228 (16) 792 (12) 10 360 (17) 492 (11)
Smoking status
Current 3190 (6) 581 (9) 1 × 10−10 4125 (7) 390 (9) 1 × 10−10
Previous 17 463 (34) 2598 (38) 21 076 (34) 1663 (38)
Never 30 793 (60) 3632 (53) 37 307 (60) 2317 (53)
Physical activity
High 20 897 (41) 2692 (40) 7.86 × 10−4 25 052 (40) 1721 (39) 2.56 × 10−1
Moderate 21 548 (42) 2801 (41) 26 222 (42) 1821 (42)
Low 9001 (17) 1318 (19) 11 234 (18) 828 (19)
Alcohol frequency
Daily or almost daily 10 706 (21) 1324 (19) 1 × 10−10 12 666 (20) 851 (19) 1 × 10−10
Three or four times a wk 13 138 (26) 1559 (23) 15 569 (25) 999 (23)
Once or twice a wk 13 951 (27) 1658 (24) 16 871 (27) 1031 (24)
Less than once a wk 13 651 (27) 2270 (33) 17 402 (28) 1489 (34)
Medicationsg
A02BC proton pump inhibitors
No 47 779 (93) 6016 (88) 1 × 10−10 57 702 (92) 3844 (88) 1 × 10−10
Yes 3667 (7) 795 (12) 4806 (8) 526 (12)
C01AA digitalis glycosides
No 51 335 (100) 6801 (100) 3.02 × 10−1 62 372 (100) 4366 (100) 1.12 × 10−1
Yes 111 (0) 10 (0) 136 (0) 4 (0)
C10 lipid-modifying agents
No 41 559 (81) 5643 (83) 4.57 × 10−5 50 552 (81) 3581 (82) 8.46 × 10−2
Yes 9887 (19) 1168 (17) 11 956 (19) 789 (18)
A10BA02 metformin
No 50 213 (98) 6624 (97) 8.68 × 10−2 60 950 (98) 4226 (97) 1.34 × 10−3
Yes 1233 (2) 187 (3) 1558 (2) 144 (3)
A10.excl.A10BA02 antidiabetes excluding metformin
No 51 045 (99) 6769 (99) 1.68 × 10−1 61 999 (99) 4335 (99) 9.94 × 10−1
Yes 401 (1) 42 (1) 509 (1) 35 (1)
B01AC06 acetylsalicylic acid
No 44 604 (87) 6079 (89) 4.50 × 10−9 54 175 (87) 3887 (89) 1.86 × 10−5
Yes 6842 (13) 732 (11) 8333 (13) 483 (11)
C07 β-blocking agents
No 48 273 (94) 6392 (94) 9.81 × 10−1 58 587 (94) 4098 (94) 9.24 × 10−1
Yes 3173 (6) 419 (6) 3921 (6) 272 (6)
C08 calcium channel blockers
No 47 802 (93) 6374 (94) 4.53 × 10−2 58 107 (93) 4087 (94) 1.67 × 10−1
Yes 3644 (7) 437 (6) 4401 (7) 283 (6)
C03 diuretics
No 47 687 (93) 6352 (93) 9.42 × 10−2 57 968 (93) 4095 (94) 1.79 × 10−2
Yes 3759 (7) 459 (7) 4540 (7) 275 (6)
C02 antihypertensives
No 50 716 (99) 6739 (99) 1.86 × 10−2 61 628 (99) 4324 (99) 6.07 × 10−2
Yes 730 (1) 72 (1) 880 (1) 46 (1)
C09 agents acting on the renin angiotensin system
No 44 437 (86) 5971 (88) 3.57 × 10−3 54 094 (87) 3832 (88) 3.28 × 10−2
Yes 7009 (14) 840 (12) 8414 (13) 538 (12)
N02A opioids
No 50 044 (97) 6414 (94) 1 × 10−10 60 470 (97) 4107 (94) 1 × 10−10
Yes 1402 (3) 397 (6) 2038 (3) 263 (6)
N02B other analgesics and antipyretics
No 38 515 (75) 4683 (69) 1 × 10−10 46 089 (74) 2952 (68) 1 × 10−10
Yes 12 931 (25) 2128 (31) 16 419 (26) 1418 (32)
N02C antimigraine preparations
No 51 042 (99) 6700 (98) 1 × 10−10 61 964 (99) 4296 (98) 6.10 × 10−8
Yes 404 (1) 111 (2) 544 (1) 74 (2)
N03A antiepileptics
No 50 997 (99) 6675 (98) <1 × 10−10 61 860 (99) 4292 (98) 5.65 × 10−6
Yes 449 (1) 136 (2) 648 (1) 78 (2)
N04A anticholinergic agents
No 51 439 (100) 6809 (100) 2.84 × 10−1 62 499 (100) 4369 (100) 4.91 × 10−1
Yes 7 (0) 2 (0) 9 (0) 1 (0)
N04B dopaminergic agents
No 51366 (100) 6797 (100) 4.20 × 10−1 62 402 (100) 4363 (100) >.99
Yes 80 (0) 14 (0) 106 (0) 7 (0)
N05A antipsychotics
No 51 365 (100) 6736 (99) <1 × 10−10 62 410 (100) 4330 (99) <1 × 10−10
Yes 81 (0) 75 (1) 98 (0) 40 (1)
N05B anxiolytics
No 51 398 (100) 6762 (99) <1 × 10−10 62 444 (100) 4330 (99) <1 × 10−10
Yes 48 (0) 49 (1) 64 (0) 40 (1)
N05C hypnotics and sedatives
No 51 369 (100) 6714 (99) <1 × 10−10 62 380 (100) 4311 (99) <1 × 10−10
Yes 77 (0) 97 (1) 128 (0) 59 (1)
N06A antidepressants
No 51 405 (100) 5499 (81) <1 × 10−10 61 783 (99) 3491 (80) <1 × 10−10
Yes 41 (0) 1312 (19) 725 (1) 879 (20)
N06B psychostimulants agents used for ADHD and nootropics
No 51 443 (100) 6808 (100) 2.43 × 10−2 62 504 (100) 4369 (100) 2.87 × 10−1
Yes 3 (0) 3 (0) 4 (0) 1 (0)
N06C psycholeptics and psychoanaleptics in combination
No 51 446 (100) 6808 (100) 1.60 × 10−3 62 503 (100) 4369 (100) 3.33 × 10−1
Yes 0 (0) 3 (0) 5 (0) 1 (0)
N06D antidementia drugs
No 51 184 (99) 6788 (100) 6.96 × 10−2 62 196 (100) 4354 (100) 2.69 × 10−1
Yes 262 (1) 23 (0) 312 (0) 16 (0)
N07A parasympathomimetics
No 51 432 (100) 6807 (100) 1.51 × 10−1 62 484 (100) 4368 (100) 6.86 × 10−1
Yes 14 (0) 4 (0) 24 (0) 2 (0)
N07B drugs used in addictive disorders
No 51 424 (100) 6798 (100) 9.10 × 10−5 62 480 (100) 4363 (100) 6.72 × 10−3
Yes 22 (0) 13 (0) 28 (0) 7 (0)
N07C antivertigo preparations
No 51 331 (100) 6784 (100) 9.64 × 10−3 62 366 (100) 4354 (100) 9.53 × 10−2
Yes 115 (0) 27 (0) 142 (0) 16 (0)
N01A anesthetics, general
No 51 444 (100) 6808 (100) 1.33 × 10−2 62 498 (100) 4368 (100) 1.83 × 10−1
Yes 2 (0) 3 (0) 10 (0) 2 (0)

Abbreviations: ADHD, attention-deficit/hyperactivity disorder; BMI, body mass index, calculated as weight in kilograms divided by height in meters squared.

a

Race and ethnicity data were gathered for this study via self-report and electronic health record because ethnicity is a known confounder in epidemiological studies. Categories are as they are presented in the UK Biobank and included Asian or Asian British, Black or Black British, Chinese, White, mixed, and other.

b

Including Bangladeshi, Indian, Pakistani, and any other Asian background.

c

Including African, Caribbean, and any other Black background.

d

Including White British, Irish, and any other White background.

e

Including Asian and White, Black African and White, Black Caribbean and White, and any other mixed background.

f

Individual responses not reported.

g

Medications are defined by Anatomical Therapeutic Chemical codes.