Table 1.
Demographic, anthropometric and clinical characteristics of participants in the 2013–2014 National Health and Nutrition Examination Survey according to quartiles of serum neurofilament light chain (sNfL) levels
| sNfL quartiles, pg/mL | p-Trend | ||||
|---|---|---|---|---|---|
| 2.8–8.2 | 8.3–12.3 | 12.4–19.1 | ≥ 19.2 | ||
| Age category (years) | < 0.001 | ||||
| 20–34 | 266 (56.9) | 143 (30.2) | 88 (19.6) | 44 (10.6) | |
| 35–44 | 152 (27.3) | 119 (24.0) | 65 (14.9) | 71 (13.9) | |
| 45–54 | 73 (12.0) | 122 (22.3) | 114 (24.0) | 74 (17.1) | |
| 55–64 | 32 (3.7) | 100 (17.3) | 145 (24.5) | 143 (29.6) | |
| 65–75 | 1 (0.1) | 37 (6.3) | 99 (17.0) | 182 (28.9) | |
| Sex | 0.002 | ||||
| Male | 215 (42.5) | 254 (50.2) | 251 (48.5) | 270 (54.2) | |
| Female | 309 (57.5) | 267 (49.8) | 260 (51.5) | 244 (45.8) | |
| Race-ethnicity (%) | 0.001 | ||||
| Non-Hispanic white | 196 (54.0) | 212 (62.7) | 248 (71.9) | 254 (72.5) | |
| Hispanic | 146 (22.5) | 126 (15.3) | 110 (12.5) | 105 (10.3) | |
| Non-Hispanic black | 94 (14.0) | 110 (14.4) | 70 (8.1) | 99 (11.4) | |
| Non-Hispanic Asian | 67 (6.0) | 65 (5.9) | 72 (6.1) | 43 (3.5) | |
| Other | 21 (3.6) | 8 (1.7) | 11 (1.4) | 13 (2.3) | |
| Education | 0.137 | ||||
| High school or less | 212 (36.1) | 227 (37.2) | 200 (33.5) | 242 (36.3) | |
| Some college | 176 (34.7) | 149 (30.4) | 155 (30.8) | 172 (38.4) | |
| College or above | 135 (29.3) | 144 (32.4) | 156 (35.8) | 99 (25.3) | |
| Cigarette smoke | 0.023 | ||||
| Never | 329 (64.1) | 309 (58.5) | 266 (52.3) | 250 (49.7) | |
| Former | 83 (15.7) | 108 (21.8) | 133 (25.3) | 136 (27.4) | |
| Current | 112 (20.2) | 104 (19.7) | 111 (22.3) | 128 (23.0) | |
| BMI (kg/m2) | 29.9 (0.4) | 28.9 (0.4) | 28.6 (0.4) | 30.1 (0.4) | 0.949 |
| eGFR (mL/min) | 109.0 (0.8) | 99.3 (0.9) | 91.1 (1.0) | 84.2 (1.1) | < 0.001 |
| Diabetes | 22 (3.2) | 38 (6.4) | 77 (12.7) | 137 (20.4) | |
| CVD (%) | 5 (0.7) | 20 (4.7) | 44 (7.2) | 79 (13.6) | < 0.001 |
| Stroke | 1 (0.2) | 5 (1.6) | 19 (3.7) | 26 (4.4) | 0.008 |
Data are expressed as numbers (weighted proportions) for categorical variables and as weighted means (Standard Error (SE)) for continuous variables. p-values for trend in participants’ features were computed using weighted linear and logistic regression for continuous and categorical variables, respectively
BMI body mass index; CVD cardiovascular disease; HbA1c hemoglobin A1c; HDL high density lipoprotein