2013
DOI: 10.1007/s10903-013-9944-z
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Perceived Discrimination and Religiosity as Potential Mediating Factors Between Migration and Depressive Symptoms: A Transnational Study of an Indigenous Mayan Population

Abstract: Evidence suggests that in the US perceived discrimination among migrants of Mexican origin is associated with depressive symptoms. Factors that confer resilience, such as religiosity, could serve as a mediating factor in the context of migration stressors. We hypothesized that migration is associated with higher depressive symptoms and that discrimination and religiosity would mediate this relationship in a binational (US and Mexican) sample of indigenous Mexican migrants. We applied path analysis modeling to … Show more

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Cited by 15 publications
(14 citation statements)
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“…These numbers are an underestimate of this population, since Latina/os tend not to self-report their Indigenous origin (Humes et al 2011;Gabbard et al 2012), and in some cases Latina/o Indigenous populations have a very low census form return rate. 3 Within this larger Latina/o Indigenous population, Mexico has one of the largest Indigenous populations in Latin America (Salgado et al 2014) with twelve million people categorized as Indigenous (CONAPO 2005). Diverse Mexican Indigenous populations are one of the fastest growing im/migrant communities in the United States.…”
Section: Situating the Experiences Of Mexican Indigenous Im/migrants mentioning
confidence: 99%
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“…These numbers are an underestimate of this population, since Latina/os tend not to self-report their Indigenous origin (Humes et al 2011;Gabbard et al 2012), and in some cases Latina/o Indigenous populations have a very low census form return rate. 3 Within this larger Latina/o Indigenous population, Mexico has one of the largest Indigenous populations in Latin America (Salgado et al 2014) with twelve million people categorized as Indigenous (CONAPO 2005). Diverse Mexican Indigenous populations are one of the fastest growing im/migrant communities in the United States.…”
Section: Situating the Experiences Of Mexican Indigenous Im/migrants mentioning
confidence: 99%
“…We acknowledge this difficulty, but also consider it crucial to attend to the cultural, historical and sociopolitical factors that have informed Indigenous identities and experiences in particular national contexts. Ultimately, Mexican Indigenous im/migrants' adaptation experiences may or may not be comparable to those of other im/migrant groups with whom they share a national origin (Fox and Rivera-Salgado 2004;Casanova 2011;Salgado et al 2014). Across Mexican and Latina/o immigration literature and American Indian studies, the Mexican Indigenous im/migrant experience is invisible.…”
Section: Situating the Experiences Of Mexican Indigenous Im/migrants mentioning
confidence: 99%
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“…Eight studies focused on infectious disease prevalence or risk factors (Garfein, ; Barton‐Behravesh et al., ; Goodman et al., ; O'Rourke et al., ; Giuliano et al., ; Zúñiga et al., ; Servin et al., ; Centers for Disease Control and Prevention, ). Additional inclusions were mental health and substance use studies, (Salgado et al., ; Pinedo et al., ; Russell et al., ; Borges et al., ; Leiner et al., ; Orozco et al., ; Robertson et al., ) studies on social support (Guendelman et al., ; Guendelman et al., ), on lead poisoning, (Villalobos et al., ), and on use of health services and health care‐related behaviours (Holmes, ; Bergmark, Barr and Garcia, ; Rivera et al., ; Stallones et al., ).…”
Section: Resultsmentioning
confidence: 99%
“…Our SES variable was constructed by using participants' highest level of education (dichotomized as high school or greater vs. did not complete high school) and number of household appliances (e.g., TV, stereo, refrigerator, washing machine, car, drinking water, electricity, oven, bathroom, cable/satellite, computer, and internet connection) in their primary residence, which are strong indicators for SES. 18,21,22 A subgroup analysis was then employed to empirically assess participants based on three mutually exclusive SES categories: 23 low SES, lower-middle SES, and middle-high SES. We used Akaike's Information Criterion (AIC) and Bayesian Information Criterion (BIC) to assess the best model.…”
Section: Methodsmentioning
confidence: 99%