Table 1.
Occupational and sociodemographic correlates of musculoskeletal morbidity among the wokers in the garment industry (n = 112)
| Occupational risk factors | Total workers (%) | Musculoskeletal symptoms present (%) | Statistical significant |
|---|---|---|---|
| Years of working | Significant; χ2 = 16.94; P = 0.0002, df = 2 | ||
| <5 | 18 (16.07) | 6 (33.33) | |
| 5-10 | 34 (30.36) | 22 (64.71) | |
| >10 | 60 (53.57) | 50 (83.33) | |
| Hours of work per day | Significant; χ2 = 12.67; P = 0.0018, df = 2 | ||
| <5 | 16 (14.29) | 6 (37.50) | |
| 5-10 | 32(28.57) | 20 (62.50) | |
| >10 | 64 (57.14) | 52 (81.25) | |
| Nature of work | Significant; χ2 = 6.38; P = 0.0412 df = 2 | ||
| Sewing | 68 (60.71) | 52 (76.47) | |
| Cutting | 30 (26.79) | 20 (66.67) | |
| Delivery | 14 (12.50) | 6 (42.86) | |
| Sociodemographic factors | |||
| Age (years) | OR = 0.62 (NS); χ2 = 0.85; P = 0.3853, df = 1 | ||
| 15-45 | 90 (80.36) | 61 (67.78) | |
| >45 | 22 (19.64) | 17 (77.27) | |
| Sex | OR = 0.62 (NS); χ2 = 0.85; P = 0.3569, df= 1 | ||
| Male | 86 (76.79) | 58 (67.44) | |
| Female | 26 (23.21) | 20 (76.93) | |
| Educational status | OR = 1.24 (NS); χ2 = 0.19; P = 0.6639, df = 1 | ||
| Illiterate | 26 (23.21) | 19 (73.08) | |
| Literate | 86 (76.79) | 59 (68.60) | |
| Addiction | OR =0.53 (NS); χ2 = 2.26; P = 0.1327, df = 1 | ||
| Present | 74 (66.07) | 55 (74.32) | |
| Absent | 38 (33.93) | 23 (60.53) | |
| Per capital income (Rs.) | OR = 1.07 (NS); χ2 = 0.02; P = 0.8862, df = 1 | ||
| <500 | 24 (21.43) | 17 (70.83) | |
| >500 | 88 (78.57) | 61 (92.32) |