What are the living conditions and health status of those who don't report their migration status? a population-based study in Chile

被引:10
作者
Cabieses, Baltica [1 ,2 ]
Pickett, Kate E. [2 ]
Tunstall, Helena [3 ]
机构
[1] Univ Desarrollo, Fac Med, Santiago, Chile
[2] Univ York, Dept Hlth Sci, York YO10 5DD, N Yorkshire, England
[3] Univ Edinburgh, Sch GeoSci, Edinburgh EH8 9XP, Midlothian, Scotland
关键词
Self-reported health; Population-based study; Missing data; Immigrants; Undocumented immigration; Socioeconomic status; UNDOCUMENTED IMMIGRANTS; SOCIOECONOMIC-STATUS; MIGRANTS; CARE; DESERVINGNESS; ACCESS; MODEL; DISABILITY; PREVENTION; POLICY;
D O I
10.1186/1471-2458-12-1013
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Undocumented immigrants are likely to be missing from population databases, making it impossible to identify an accurate sampling frame in migration research. No population-based data has been collected in Chile regarding the living conditions and health status of undocumented immigrants. However, the CASEN survey (Caracterizacion Socio-Economica Nacional) asked about migration status in Chile for the first time in 2006 and provides an opportunity to set the base for future analysis of available migration data. We explored the living conditions and health of self-reported immigrants and respondents who preferred not to report their migration status in this survey. Methods: Cross-sectional secondary analysis of CASEN survey in Chile in 2006. Outcomes: any disability, illness/accident, hospitalization/surgery, cancer/chronic condition (all binary variables); and the number of medical/emergency attentions received (count variables). Covariates: Demographics (age, sex, marital status, urban/rural, ethnicity), socioeconomic status (education level, employment status and household income), and material standard of living (overcrowding, sanitation, housing quality). Weighted regression models were estimated for each health outcome, crude and adjusted by sets of covariates, in STATA 10.0. Results: About 1% of the total sample reported being immigrants and 0.7% preferred not to report their migration status (Migration Status - Missing Values; MS-MV). The MS-MV lived in more deprived conditions and reported a higher rate of health problems than immigrants. Some gender differences were observed by health status among immigrants and the MS-MV but they were not statistically significant. Regressions indicated that age, sex, SES and material factors consistently affected MS-MVs' chance of presenting poor health and these patterns were different to those found among immigrants. Great heterogeneity in both the MS-MV and the immigrants, as indicated by wide confidence intervals, prevented the identification of other significantly associated covariates. Conclusion: This is the first study to look at the living conditions and health of those that preferred not to respond their migration status in Chile. Respondents that do not report their migration status are vulnerable to poor health and may represent undocumented immigrants. Surveys that fail to identify these people are likely to misrepresent the experiences of immigrants and further quantitative and qualitative research is urgently required.
引用
收藏
页数:15
相关论文
共 66 条
  • [1] Discrimination, work and health in immigrant populations in Spain
    Agudelo-Suarez, Andres
    Gil-Gonzalez, Diana
    Ronda-Perez, Elena
    Porthe, Victoria
    Paramio-Perez, Gema
    Garcia, Ana M.
    Gari, Aitana
    [J]. SOCIAL SCIENCE & MEDICINE, 2009, 68 (10) : 1866 - 1874
  • [2] A qualitative study about immigrant workers' perceptions of their working conditions in Spain
    Ahonen, E. Q.
    Porthe, V.
    Vazquez, M. L.
    Garcia, A. M.
    Lopez-Jacob, M. J.
    Ruiz-Frutos, C.
    Ronda-Perez, E.
    Benach, J.
    Benavides, F. G.
    [J]. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2009, 63 (11) : 936 - 942
  • [3] Akhavan S, 2004, ETHNIC HEALTH, V9, pS93
  • [4] Almandoz M G, 1997, Estud Migr Latinoam, V12, P491
  • [5] Amador M, 2010, 2010 MIGR C
  • [6] [Anonymous], 2008, LAT AM CAR INT MIGR
  • [7] Goodness-of-fit test for a logistic regression model fitted using survey sample data
    Archer, Kellie J.
    Lemeshow, Stanley
    [J]. STATA JOURNAL, 2006, 6 (01) : 97 - 105
  • [8] Arteaga Óscar, 2002, Rev Panam Salud Publica, V11, P374, DOI 10.1590/S1020-49892002000500012
  • [9] Barro Lugo S, 2004, Aten Primaria, V34, P504, DOI 10.1157/13069042
  • [10] Adjusting for multiple testing - when and how?
    Bender, R
    Lange, S
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2001, 54 (04) : 343 - 349