Table 1. Basic socio-demographic characteristics of participants, by occupation subgroup (n = 1765).
| Socio-demographic characteristic | Total | Construction workers | Office clerks/ professionals | p for difference between occupation groupsa |
|---|---|---|---|---|
| (n = 1765) | (n = 1443) | (n = 322) | ||
| n(%) | n(%) | n(%) | ||
| Gender | <0.001 | |||
| Male | 1418 (81.0) | 1190 (83.2) | 228 (71.2) | |
| Female | 332 (19.0) | 240 (16.8) | 92 (28.8) | |
| Age (years) | <0.001 | |||
| Mean, SD | 43.1 (11.9) | 44.9 (11.5) | 35.0 (10.7) | |
| Ethnicity | <0.001 | |||
| Chinese | 1424 (80.9) | 1134 (78.7) | 290 (90.9) | |
| Nepalese | 262 (14.9) | 257 (17.8) | 5 (1.6) | |
| Others | 74 (3.4) | 50 (3.5) | 24 (7.5) | |
| Educational attainment | <0.001 | |||
| Primary or below | 443 (25.2) | 437 (30.5) | 6 (1.8) | |
| Secondary | 991 (56.5) | 910 (63.4) | 81 (25.3) | |
| Tertiary or above | 321 (18.3) | 88 (6.1) | 233 (72.6) | |
| Monthly domestic household income (HKD$) | <0.001 | |||
| <4,000 | 27 (1.6) | 21 (1.5) | 6 (1.9) | |
| 4,000- <8,000 | 33 (1.9) | 32 (2.3) | 1 (0.3) | |
| 8, 000- <15,000 | 329 (19.2) | 291 (20.8) | 38 (12.0) | |
| 15,000- <25,000 | 634 (36.9) | 575 (41.0) | 59 (18.6) | |
| 25,000- <40,000 | 466 (27.1) | 373 (26.6) | 93 (29.3) | |
| 40,000- <60,000 | 156 (9.1) | 83 (5.9) | 73 (23.0) | |
| ≥60, 000 | 73 (4.2) | 26 (1.9) | 47 (14.8) | |
| Housing condition | <0.001 | |||
| Public rental housing | 900 (51.6) | 815 (57.1) | 85 (26.8) | |
| Subsidized sale flats | 180 (10.3) | 148 (10.4) | 32 (10.1) | |
| Private permanent housing | 462 (26.5) | 283 (19.8) | 179 (56.5) | |
| Others | 202 (11.6) | 181 (12.7) | 21 (6.6) | |
| Marital status | <0.001 | |||
| Never married | 377 (21.4) | 201 (14.0) | 176 (55.0) | |
| Cohabited/ Married | 1307 (74.3) | 1169 (81.3) | 138 (43.1) | |
| Widowed | 12 (0.7) | 11 (0.8) | 1 (0.3) | |
| Divorced/ Separated | 60 (3.4) | 55 (3.8) | 5 (1.6) | |
| Others | 2 (0.1) | 2 (0.1) | 0 (0.0) |
a) Chi-square test for categorical variables; students t-test used for continuous variables to test for statistical significance of differences observed between occupation groups (construction workers vs. office clerks/professionals) accounting for linear-by-linear association for ordinal variables