Table 4.
Descriptive statistics for predictors of SLE, including demographic factors, health conditions, socioeconomic factors, and psychosocial factors, for the full sample and according to the gap between SLE and actuarial LE
| Predictors of SLE | SLE ≤ 5 y of LE (n = 253) | SLE within 5 y of LE (n = 417) | SLE ≥ 5 y of LE (n = 330) |
|---|---|---|---|
| Demographic factors | |||
| Gender | |||
| Men | 147 (58.1) | 201 (48.2) | 172 (52.1) |
| Women | 106 (41.9) | 216 (51.8) | 158 (47.9) |
| Age (y) | |||
| <30 | 49 (19.4) | 98 (23.5) | 80 (24.2) |
| 30-39 | 86 (34.0) | 87 (20.9) | 68 (20.6) |
| 40-49 | 65 (25.7) | 127 (30.5) | 84 (25.5) |
| ≥50 | 53 (21.0) | 105 (25.2) | 98 (29.7) |
| Health condition | |||
| Disease (+) | 141 (55.7) | 194 (46.5) | 145 (43.9) |
| Disease (-) | 112 (44.3) | 223 (53.5) | 185 (56.1) |
| Socioeconomic factors | |||
| Residential area | |||
| Metropolitan area | 53 (20.9) | 86 (20.6) | 71 (21.5) |
| Urban area | 68 (26.9) | 108 (25.9) | 82 (24.9) |
| Rural area | 132 (52.2) | 223 (53.5) | 177 (53.6) |
| Monthly household income (106 KRW) | |||
| <2 | 36 (14.2) | 47 (11.3) | 49 (14.9) |
| 2-4 | 116 (45.9) | 163 (39.1) | 106 (32.1) |
| 4-6 | 68 (26.9) | 153 (36.7) | 111 (33.6) |
| >6 | 33 (13.0) | 54 (12.9) | 64 (19.4) |
| Educational qualification | |||
| High school diploma or lower | 57 (22.5) | 63 (15.1) | 57 (17.3) |
| Bachelor’s degree | 174 (68.8) | 320 (76.7) | 239 (72.4) |
| Master’s degree or higher | 22 (8.7) | 34 (8.2) | 34 (10.3) |
| Occupation | |||
| Manual | 62 (24.5) | 95 (22.8) | 63 (19.1) |
| Non-manual | 110 (43.5) | 203 (48.7) | 136 (41.2) |
| Other | 81 (32.0) | 119 (28.5) | 131 (39.7) |
| Type of real estate contract | |||
| Free offer | 7 (2.8) | 11 (2.6) | 8 (2.4) |
| Monthly rent | 49 (19.4) | 48 (11.5) | 43 (13.0) |
| Lease | 51 (20.2) | 93 (22.3) | 60 (18.2) |
| Ownership | 146 (57.7) | 265 (63.6) | 219 (66.4) |
| Type of insurance | |||
| Medical aid | 21 (8.3) | 28 (6.7) | 27 (8.2) |
| Community-based insurance | 130 (51.4) | 246 (59.0) | 190 (57.6) |
| Work-based insurance | 102 (40.3) | 143 (34.3) | 113 (34.2) |
| Health behavior factors | |||
| History of smoking | |||
| Current smokers | 180 (54.5) | 220 (52.8) | 104 (41.1) |
| Ex-smokers | 55 (16.7) | 84 (20.1) | 50 (19.8) |
| Non-smokers | 95 (28.8) | 113 (27.1) | 99 (39.1) |
| Alcohol consumption | |||
| ≥4 drinks/wk | 23 (9.1) | 20 (4.8) | 16 (4.9) |
| 2–3 drinks/wk | 51 (20.2) | 81 (19.4) | 48 (14.6) |
| 1–4 drinks/mo | 135 (53.4) | 252 (60.4) | 219 (66.4) |
| 0 drinks/mo | 44 (17.4) | 64 (15.4) | 47 (14.2) |
| Physical activity (times/wk) | |||
| 0-2 | 107 (42.3) | 162 (38.9) | 111 (33.6) |
| ≥3 | 146 (57.7) | 255 (61.1) | 219 (66.4) |
| Psychosocial factors | |||
| Psychological distress | |||
| Most of the time | 48 (19.0) | 38 (9.1) | 30 (9.1) |
| Some of the time | 139 (54.9) | 217 (52.0) | 159 (48.2) |
| A little of the time | 64 (25.3) | 157 (37.7) | 127 (38.5) |
| None of the time | 2 (0.8) | 5 (1.2) | 14 (4.2) |
| Depression | |||
| No | 230 (90.9) | 405 (96.4) | 306 (92.7) |
| Yes | 23 (9.1) | 15 (3.6) | 24 (7.3) |
| Social connectedness | |||
| No | 130 (51.4) | 201 (48.2) | 125 (37.9) |
| Yes | 123 (48.6) | 216 (51.8) | 205 (62.1) |
| Self-rated health | |||
| Poor | 6 (2.4) | 1 (0.2) | 5 (1.5) |
| Fair | 63 (24.9) | 39 (9.4) | 24 (7.3) |
| Good | 102 (40.3) | 179 (42.9) | 91 (27.6) |
| Very good | 72 (28.5) | 177 (42.5) | 180 (54.6) |
| Excellent | 10 (4.0) | 21 (5.0) | 30 (9.1) |
Values are presented as number (%).
SLE, subjective life expectancy; LE, life expectancy; KRW, Korean won.