| Titre : | Ability of Ethnic Self-Identification to Partition Modifiable Health Risk Among US Residents of Mexican Ancestry. (2008) |
| Auteurs : | BARGER (Steven-D) : USA. Department of Psychology. Northern Arizona University. Flagstaff. ; GALLO (Linda-C) : USA. Joint Doctoral Program in Clinical Psychology. San Diego State University and University of California. San Diego. |
| Type de document : | Article |
| Dans : | American journal of public health (vol. 98, n° 11, 2008) |
| Pagination : | 1971-1978 |
| Langues: | Anglais |
| Mots-clés : | Aptitude ; Ethnie ; Identification ; Homme ; Mexique ; Amérique ; Amérique centrale |
| Résumé : | [BDSP. Notice produite par INIST-CNRS 9r9R0xBE. Diffusion soumise à autorisation]. Objectives. We examined the relationship between ethnic self-identification and the partitioning of health risk within a Mexican American population. Methods. We combined data from the 2000 to 2002 National Health Interview Surveys to obtain a large (N=10044) sample of US residents of Mexican ancestry. We evaluated health risk, defined as self-reported current smoking, overweight, and obesity, and compared the predictive strength of health risk correlates across self-identified Mexican and Mexican American participants. Results. Self-identified Mexican participants were less likely to smoke (odds ratio [OR]=0.70 ; 95% confidence interval[Cl]=0.60,0.83 ; P<. 001) and to be obese (OR=0.66 ; 95% Cl=0.56,0.77 ; P<. 001) than were self-identified Mexican American participants. Within-group analyses found that sociodemographic predictors had inconsistent and even contradictory patterns of association with health risk across the 2 subgroups. Health risk was consistently lower among immigrants relative to US-born participants. Ethnic self-identification effects were independent of socioeconomic status. Conclusions. US residents of Mexican ancestry showed substantial within-group differences in health risk and risk correlates. Ethnic self-identification is a promising strategy to clarify differential risk and may help resolve apparent discrepancies in health risk correlates in this literature. |
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