METHODS: The study was conducted among 1010 women who were registered as migrant returnees at an organisation called Pourakhi Nepal. Secondary data were extracted from the records of the organisation covering the five-year period of July 2009 to July 2014.

RESULTS: The 1010 participants were aged 14 to 51 with a median age of 31 (IQR: 38-25) years. A quarter of respondents (24%) reported having experienced health problems while in the country of employment. Fever, severe illness and accidents were the most common health problems reported. Working for unlimited periods of time and not being able to change one's place of work were independently associated with a greater likelihood of health problems. Logistic regression shows that migrant women who are illiterate [OR = 1.56, 95% CI: 1.02 to 2.38, p = 0.042], who had changed their workplace [OR = 1.63, 95% CI: 1.14 to 2.32, p = 0.007], who worked unlimited periods of time [OR = 1.64, 95% CI: 1.44 to 1.93, p = 0.020], had been severely maltreated or tortured in the workplace [OR = 1.84, 95% CI: 1.15 to 2.92, p = 0.010], were not being paid on time [OR = 2.38, 95% CI: 1.60 to 3.55, p = 0.038] and migrant women who had family problems at home [OR = 3.48, CI 95%: 1.22 to 9.98, p = 0.020] were significantly associated with health problems in their host country in the Middle East.

METHODS: A baseline cross-sectional analysis of the Malaysian Cohort was conducted, which included 105 391 adults. Multiple logistic regression analyses were conducted for these three diseases across 20 job sectors compared with the unemployed/homemaker sector.

RESULTS: The prevalence of T2DM, hypercholesterolemia and obesity was 16.7%, 38.8% and 33.3%, respectively. The Accommodation & Food Service Activities and Transportation & Storage sectors had significantly higher odds for T2DM (adjusted [adj.] prevalence odds ratio [POR] 1.18, p=0.007 and adj. POR 1.15, p=0.008, respectively). No job sector had significantly higher odds for hypercholesterolemia compared with the unemployed/homemaker sector. Only the Accommodation & Food Service Activities sector had significantly higher odds for obesity (adj. POR 1.17, p≤0.001).

METHODS: We conducted a cross-sectional study among 660 public hospital nurses. A self-administered questionnaire was used to collect data on the occurrence of WRMSDs according to body regions, socio-demographic profiles, occupational information and psychosocial risk factors. 468 questionnaires were returned (response rate of 71%), and 376 questionnaires qualified for subsequent analysis. Univariate analyses were applied to test for mean and categorical differences across the WRMSDs; multiple logistic regression was applied to predict WRMSDs based on the Job Strain Model's psychosocial risk factors.