Table 4 Logistic regression modelling analysis of potential risk factors of poor mental health (WHO-5 score <13) in migrant workers (N = 914)
Variable | Unadjusted odds ratio | p | Adjusted odds ratio | p | ||
|---|---|---|---|---|---|---|
(95% CI) | (95% CI)a | |||||
Age (per 10-year increase) | 0.81 | (0.70, 0.93) | 0.003 | 0.67 | (0.54, 0.83) | <0.001 |
Males | 1.58 | (1.21, 2.05) | 0.001 | 1.57 | (1.18, 2.09) | 0.002 |
Lower education level (junior high school or lower) | 1.25 | (0.97, 1.63) | 0.09 | 1.31 | (0.96, 1.79) | 0.09 |
Being married | 0.86 | (0.66, 1.12) | 0.26 | 1.43 | (0.97, 2.10) | 0.07 |
Factory job | 0.93 | (0.71, 1.20) | 0.57 | 0.73 | (0.54, 0.99) | 0.05 |
Longer working hours (> = 9 per day) | 1.51 | (1.15, 1.97) | 0.003 | 1.43 | (1.06, 1.92) | 0.02 |
More working days (> = 6 per week) | 1.29 | (0.91, 1.83) | 0.15 | 1.04 | (0.71, 1.53) | 0.85 |
Monthly income > = 5000 RMB | 0.13 | (0.04, 0.43) | <0.001 | 0.17 | (0.05, 0.57) | 0.004 |
Unsatisfied/very unsatisfied with income | 2.00 | (1.46, 2.75) | <0.001 | 2.13 | (1.52, 2.98) | <0.001 |
No insurances/welfare coverage | 1.22 | (0.90, 1.65) | 0.20 | 1.09 | (0.79, 1.51) | 0.59 |
SSRS use of support score (per one point increase) | 0.85 | (0.79, 0.91) | <0.001 | 0.87 | (0.81, 0.94) | <0.001 |
Length of stay < 1 yr in Guangzhou | 1.31 | (0.97, 1.78) | 0.08 | 1.21 | (0.87, 1.71) | 0.26 |
Reason of migration: wanted to earn more money | 1.18 | (0.90, 1.55) | 0.22 | 1.36 | (0.93, 1.98) | 0.11 |
Reason of migration: wanted to learn skills | 0.82 | (0.63, 1.06) | 0.13 | 0.98 | (0.69, 1.40) | 0.92 |
Reason of migration: wanted to live in cities | 1.01 | (0.64, 1.61) | 0.96 | 1.12 | (0.65, 1.91) | 0.69 |
Reason of migration: forced by family | 1.38 | (0.83, 2.28) | 0.21 | 1.23 | (0.70, 2.17) | 0.47 |