Table 1.
Demographic and Cardiovascular Characteristicsa
| High Income | Latin America and Caribbean | Southeast/East Asia | South Asia | Sub-Saharan Africa | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristic | Descriptor | Total (N = 7770) | Canada (N = 131) | Spain (N = 213) | USA (N = 3752)b | Brazil (N = 1099) | Haiti (N = 140) | Peru (N = 148) | Puerto Rico (N = 36) | Thailand (N = 590) | India (N = 504) | Botswana (N = 281) | South Africa (N = 570) | Uganda (N = 181) | Zimbabwe (N = 125) |
| Demographics and Behavioral | |||||||||||||||
| Age (years) | Median (Q1, Q3) | 50 (45, 55) | 53 (49, 57) | 54 (51, 57) | 51 (46, 55) | 49 (45, 54) | 54 (49, 58) | 48 (43, 53) | 51 (48, 55) | 47 (44, 52) | 47 (44, 52) | 51 (45, 56) | 47 (43, 52) | 52 (47, 55) | 51 (47, 56) |
| 40–49 | 3730 (48%) | 37 (28%) | 41 (19%) | 1646 (44%) | 561 (51%) | 39 (28%) | 82 (55%) | 12 (33%) | 371 (63%) | 335 (66%) | 122 (43%) | 364 (64%) | 73 (40%) | 47 (38%) | |
| 50–59 | 3362 (43%) | 82 (63%) | 150 (70%) | 1765 (47%) | 432 (39%) | 71 (51%) | 59 (40%) | 21 (58%) | 194 (33%) | 140 (28%) | 125 (44%) | 174 (31%) | 84 (46%) | 65 (52%) | |
| 60+ | 678 (9%) | 12 (9%) | 22 (10%) | 341 (9%) | 106 (10%) | 30 (21%) | 7 (5%) | 3 (8%) | 25 (4%) | 29 (6%) | 34 (12%) | 32 (6%) | 24 (13%) | 13 (10%) | |
| Natal sex | Male | 5352 (69%) | 118 (90%) | 194 (91%) | 2906 (77%) | 777 (71%) | 81 (58%) | 136 (92%) | 26 (72%) | 257 (44%) | 375 (74%) | 104 (37%) | 195 (34%) | 88 (49%) | 95 (76%) |
| Female | 2418 (31%) | 13 (10%) | 19 (9%) | 846 (23%) | 322 (29%) | 59 (42%) | 12 (8%) | 10 (28%) | 333 (56%) | 129 (26%) | 177 (63%) | 375 (66%) | 93 (51%) | 30 (24%) | |
| Gender identityc | Cisgender | 7363 (95%) | |||||||||||||
| Transgender Spectrum | 129 (2%) | ||||||||||||||
| Not reported | 278 (4%) | ||||||||||||||
| Raced | Black or African American | 3378 (43%) | 15 (11%) | 2 (1%) | 1657 (44%) | 400 (36%) | 140 (100%) | 2 (1%) | 8 (22%) | 0 (0%) | 0 (0%) | 280 (100%) | 568 (100%) | 181 (100%) | 125 (100%) |
| White | 2701 (35%) | 99 (76%) | 207 (97%) | 1849 (49%) | 514 (47%) | 0 (0%) | 9 (6%) | 19 (53%) | 2 (<.5%) | 0 (0%) | 0 (0%) | 2 (<.5%) | 0 (0%) | 0 (0%) | |
| Asian | 1139 (15%) | 8 (6%) | 0 (0%) | 37 (1%) | 2 (<.5%) | 0 (0%) | 0 (0%) | 0 (0%) | 588 (100%) | 504 (100%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | |
| Other | 552 (7%) | 9 (7%) | 4 (2%) | 209 (6%) | 183 (17%) | 0 (0%) | 137 (93%) | 9 (25%) | 0 (0%) | 0 (0%) | 1 (<.5%) | 0 (0%) | 0 (0%) | 0 (0%) | |
| Ethnicitye | Hispanic or Latino | 698 (18%) | 6 (5%) | - | 656 (17%) | - | - | - | 36 (100%) | - | - | - | - | - | - |
| Not Hispanic or Latino | 3187 (81%) | 125 (95%) | - | 3062 (82%) | - | - | - | 0 (0%) | - | - | - | - | - | - | |
| Unknown | 34 (1%) | 0 (0%) | - | 34 (1%) | - | - | - | 0 (0%) | - | - | - | - | - | - | |
| Smoking status | Current | 1933 (25%) | 36 (27%) | 122 (58%) | 1131 (30%) | 203 (18%) | 5 (4%) | 78 (53%) | 5 (14%) | 69 (12%) | 69 (14%) | 22 (8%) | 137 (24%) | 5 (3%) | 51 (41%) |
| Former | 1906 (25%) | 50 (38%) | 59 (28%) | 1109 (30%) | 310 (28%) | 15 (11%) | 32 (22%) | 12 (33%) | 122 (21%) | 21 (4%) | 51 (18%) | 72 (13%) | 29 (16%) | 24 (19%) | |
| Never | 3923 (51%) | 45 (34%) | 31 (15%) | 1505 (40%) | 586 (53%) | 120 (86%) | 38 (26%) | 19 (53%) | 399 (68%) | 414 (82%) | 208 (74%) | 361 (63%) | 147 (81%) | 50 (40%) | |
| Substance usef | Current | 152 (2%) | 14 (11%) | 5 (2%) | 105 (3%) | 23 (2%) | 0 (0%) | 1 (1%) | 0 (0%) | 4 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Former | 2277 (29%) | 55 (42%) | 117 (55%) | 1886 (50%) | 150 (14%) | 0 (0%) | 19 (13%) | 7 (19%) | 39 (7%) | 0 (0%) | 0 (0%) | 4 (1%) | 0 (0%) | 0 (0%) | |
| Never | 5333 (69%) | 62 (47%) | 91 (43%) | 1753 (47%) | 926 (84%) | 140 (100%) | 128 (86%) | 29 (81%) | 547 (93%) | 504 (100%) | 281 (100%) | 566 (99%) | 181 (100%) | 125 (100%) | |
| Cardiovascular and Metabolic | |||||||||||||||
| History of hypertension | 1785 (23%) | 18 (14%) | 26 (12%) | 1027 (27%) | 243 (22%) | 31 (22%) | 16 (11%) | 8 (22%) | 111 (19%) | 45 (9%) | 72 (26%) | 114 (20%) | 54 (30%) | 20 (16%) | |
| History of diabetes | 66 (1%) | 0 (0%) | 2 (1%) | 48 (1%) | 7 (1%) | 0 (0%) | 2 (1%) | 0 (0%) | 2 (<.5%) | 4 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | |
| BMI (kg/m2) | Median (Q1, Q3) | 25.8 (22.8,29.4) | 25.6 (23.1, 28.6) | 25.4 (23.3, 27.8) | 26.9 (24.0, 30.8) | 25.8 (23.3, 28.7) | 24.7 (22.0, 28.0) | 26.2 (24.3, 28.8) | 27.1 (24.7, 30.5) | 22.7 (20.5, 25.0) | 22.9 (20.2, 25.9) | 23.7 (20.6, 27.5) | 26.8 (22.3, 31.5) | 24.6 (21.6, 28.3) | 21.3 (19.1, 24.9) |
| <18.5 | 288 (4%) | 2 (2%) | 5 (2%) | 49 (1%) | 16 (1%) | 6 (4%) | 0 (0%) | 0 (0%) | 49 (8%) | 63 (13%) | 28 (10%) | 41 (7%) | 7 (4%) | 22 (18%) | |
| 18.5–24.9 | 3115 (40%) | 51 (39%) | 87 (41%) | 1214 (32%) | 454 (41%) | 68 (49%) | 49 (33%) | 10 (28%) | 393 (67%) | 285 (57%) | 144 (51%) | 195 (34%) | 92 (51%) | 73 (58%) | |
| 25–29.9 | 2664 (34%) | 52 (40%) | 91 (43%) | 1393 (37%) | 434 (39%) | 46 (33%) | 76 (51%) | 16 (44%) | 138 (23%) | 123 (24%) | 64 (23%) | 152 (27%) | 54 (30%) | 25 (20%) | |
| ≥30 | 1696 (22%) | 25 (19%) | 28 (13%) | 1092 (29%) | 195 (18%) | 20 (14%) | 23 (16%) | 10 (28%) | 10 (2%) | 33 (7%) | 45 (16%) | 182 (32%) | 28 (15%) | 5 (4%) | |
| Triglycerides (mg/dL) | Median (Q1, Q3) | 114 (80, 169) | 119 (85, 174) | 121 (88, 177) | 111 (80, 163) | 138 (95, 200) | 97 (68, 125) | 198 (139, 270) | 120 (88, 167) | 122 (87, 179) | 137 (96, 205) | 82 (64, 121) | 89 (63, 124) | 109 (81, 159) | 87 (69, 125) |
| LDL-C (mg/dL) | Median (Q1, Q3) | 108 (87, 128) | 114 (92, 133) | 119 (104, 138) | 106 (86, 125) | 116 (95, 136) | 104 (82, 127) | 111 (88, 132) | 111 (90, 127) | 122 (103, 141) | 107 (87, 126) | 99 (81, 120) | 96 (76, 116) | 102 (81, 127) | 89 (68, 107) |
| HDL-C (mg/dL) | Median (Q1, Q3) | 48 (39, 59) | 46 (38, 54) | 46 (40, 55) | 49 (40, 60) | 43 (36, 53) | 58 (46, 71) | 41 (33, 47) | 50 (42, 67) | 48 (40, 57) | 41 (35, 51) | 56 (47, 68) | 54 (44, 65) | 55 (43, 66) | 55 (43, 69) |
Abbreviations: BMI, body mass index; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol.
aFrequency (%) for categorical measures, median with lower and upper quartiles (Q1, Q3) for continuous measures. All statistics are calculated out of participants with data collected. Missing data include the following: smoking status (n = 8); substance use (n = 8); BMI (n = 7); medical history (n = 6).
bUS enrollment excludes participants in Puerto Rico based on Global Burden of Disease Super Region classification.
cCollection of gender identity was implemented after start of study; for participants already enrolled at that time, it may not reflect the gender identify at study entry. See Smeaton et al. [11].
d“Other” race includes participants self-identifying as follows: native or indigenous to the enrollment region; more than 1 race (with no single race noted as predominant); or of unknown race.
eEthnicity presented per National Institutes of Health definition for participants in United States (including Puerto Rico) and Canada only.
fSubstance use includes use of cocaine, methamphetamine, and intravenous drugs.