High depressive symptomatology among older community-dwelling Mexican Americans: The impact of immigration

Kerstin Gerst, Majd Al-Ghatrif, Holly A. Beard, Rafael Samper-Ternent, Kyriakos S. Markides

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Objectives: This analysis explores nativity differences in depressive symptoms among very old (75+) community-dwelling Mexican Americans. Design: Cross-sectional analysis using the fifth wave (2004-2005) of the Hispanic Established Population for the Epidemiological Study of the Elderly (Hispanic EPESE). Participants: The sample consisted of 1699 non-institutionalized Mexican American men and women aged 75 years and above. Depressive symptoms were measured by the Center for Epidemiological Studies Depression Scale (CES-D). Logistic regression was used to predict high depressive symptoms (CES-D score 16 or higher) and multinomial logistic regression was used to predict sub-threshold, moderate, and high depressive symptoms. Results: Results showed that elders born in Mexico had higher odds of more depressive symptoms compared to otherwise similar Mexican Americans born in the US. Age of arrival, gender, and other covariates did not modify that risk. Conclusion: The findings suggest that older Mexican American immigrants are at higher risk of depressive symptomatology compared to persons born in the US, which has significant implications for research, policy, and clinical practice.

Original languageEnglish (US)
Pages (from-to)347-354
Number of pages8
JournalAging and Mental Health
Issue number3
StatePublished - Apr 2010
Externally publishedYes


  • Depressive symptomatology
  • Hispanic Americans
  • Immigrants
  • Mexican Americans

ASJC Scopus subject areas

  • Phychiatric Mental Health
  • Gerontology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health


Dive into the research topics of 'High depressive symptomatology among older community-dwelling Mexican Americans: The impact of immigration'. Together they form a unique fingerprint.

Cite this