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How are the undocumented migrants in Rome? Assessment of quality of life and its determinants among migrant population.
Journal of Public Health 2017 September 2
Aim: The aim of this study is to evaluate the level of Health-Related Quality of Life (HRQoL) and its determinants among migrants in irregular situations in Italy.
Methods: This cross-sectional study was held in Rome in 2014. HRQoL was assessed through SF-12 questionnaire and physical (PCS) and mental component scores (MCS) were calculated; socio-demographic information and medical conditions were collected. Bivariate and multivariate analyses were performed to assess the impact of demographic and pathological variables on the HRQoL.
Results: The median PCS among the 200 migrants enrolled was 46.5 and the median MCS was 37.9, some points below the Italian average. The multivariate analysis revealed a negative association between PCS and age (P < 0.01), respiratory (P: 0.03) and Poverty-Related Diseases (PRDs) (P < 0.01). MCS, on the other hand, resulted negatively associated with neuropsychiatric diseases (P: < 0.01) and PRDs (P < 0.01).
Conclusion: Although multivariate analyses revealed that gender acts as an effect modifier the negative association between PRDs and the two dimensions of HRQoL is confirmed in both genders. This suggests a great impact of socio-economic status on the HRQoL. Public health could contribute to improve the HRQoL of migrants only taking into account social aspects of diseases and tailoring intervention on the specific needs of migrants.
Methods: This cross-sectional study was held in Rome in 2014. HRQoL was assessed through SF-12 questionnaire and physical (PCS) and mental component scores (MCS) were calculated; socio-demographic information and medical conditions were collected. Bivariate and multivariate analyses were performed to assess the impact of demographic and pathological variables on the HRQoL.
Results: The median PCS among the 200 migrants enrolled was 46.5 and the median MCS was 37.9, some points below the Italian average. The multivariate analysis revealed a negative association between PCS and age (P < 0.01), respiratory (P: 0.03) and Poverty-Related Diseases (PRDs) (P < 0.01). MCS, on the other hand, resulted negatively associated with neuropsychiatric diseases (P: < 0.01) and PRDs (P < 0.01).
Conclusion: Although multivariate analyses revealed that gender acts as an effect modifier the negative association between PRDs and the two dimensions of HRQoL is confirmed in both genders. This suggests a great impact of socio-economic status on the HRQoL. Public health could contribute to improve the HRQoL of migrants only taking into account social aspects of diseases and tailoring intervention on the specific needs of migrants.
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