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Table 4 Logistic regression modelling analysis of potential risk factors of poor mental health (WHO-5 score <13) in migrant workers (N = 914)

From: Mental wellbeing amongst younger and older migrant workers in comparison to their urban counterparts in Guangzhou city, China: a cross-sectional study

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
  1. RMB = Renminbi (1 RMB ~ = 0.16 USD). SSRS = Social Support Rating Scale.
  2. aAdjusted for all other variables in the table.