Objectives We investigated ethnic differences in allostatic load in a population-based sample of adults living in Texas City, TX, and assessed the effects of nativity and acculturation status on allostatic load among people of Mexican origin. Methods We used logistic regression models to examine ethnic variations in allostatic load scores among non-Hispanic Whites, non-Hispanic Blacks, and people of Mexican origin. We also examined associations between measures of acculturation and allostatic load scores among people of Mexican origin only. Results Foreign-born Mexicans were the least likely group to score in the higher allostatic load categories. Among individuals of Mexican origin, US-born Mexican Americans had higher allostatic load scores than foreign-born Mexicans, and acculturation measures did not account for the difference. Conclusions Our findings expand on recent research from the National Health and Nutrition Examination Survey with respect to ethnicity and allostatic load. Our results are consistent with the healthy immigrant hypothesis (i.e., newer immigrants are healthier) and the acculturation hypothesis, according to which the longer Mexican immigrants reside in the United States, the greater their likelihood of potentially losing culture-related health-protective effects.
The comprehensive intervention improved women's leisure-time physical activity and dietary fat intake, highlighting a replicable model to help primary care providers implement lifestyle counseling.
Context-MexicoPurpose-Using the health care service utilization model as a framework, this paper will analyze the differences in health care service use among older Mexicans living in urban and rural areas in Mexico. Methods-TheMexican Health and Aging Survey (MHAS) data were used to test the applicability of Andersen's "model of health services" of predisposing (ie, age, sex, etc.), enabling (education, insurance coverage, etc.) and need factors (diabetes, hypertension, etc.) to predict ever being in the hospital and physician visits in the past year by place of residence (urban, rural, semirural). Findings-Resultsshowed that older Mexicans living in the most rural areas (populations of 2500 or fewer) were significantly less likely to have been hospitalized in the previous year and visited the physician less often (P < .0001) than their urban counterparts. The significant difference in hospitalization between rural and urban residing older Mexicans was largely accounted for by having health care coverage. Certain need factors such as diabetes, previous heart attack, hypertension, depression, and functional limitations predicted frequency of physician visits and hospitalization, but they did not explain variations between rural and urban older Mexicans.Conclusions-Not having insurance coverage was associated with a lower likelihood of spending an overnight visit in the hospital and visiting a physician for older Mexicans. This lower utilization may be due to barriers to access rather than better health. Keywordshospitalization; insurance; Mexico; rural; urbanThe epidemiological transition has progressed through much of Mexico and, as a result, the population in Mexico is aging quickly.1 Mexico has now reached the juncture where health and quality of life in older age are a public health focus, yet little effort has been made to Health Care Access in MexicoIn Mexico, the health care system is work-based.9 Mexicans in the formal labor market access health care programs associated with the sector in which they are employed. Study FrameworkIn this study, we use Andersen's "Behavioral Model of Health Services Use" as a framework to demonstrate the disparity in health care utilization between rural and urban older Mexicans living in Mexico.22 Andersen initially developed the model in the late 1960s, grouping contributing factors into predisposing, enabling, and need as a way of illustrating patterns of health care utilization by families. Over the years, Andersen has revised the model to account for the growing complexities associated with medical care, shifting focus to the individual.Andersen's model has been used in a number of studies to characterize health care utilization in Hispanic populations.23 -25 Al Snih et al determined that need factors had the most predictive power in determining doctor visits and overnight hospitalization in older Mexican Americans, yet, in Mexico, Tamez-González et al found that enabling factors, particularly education, proved to be the most important in predicting prenatal...
A burgeoning literature has documented generally salutary relationships between various aspects of religious involvement and mental health outcomes, including depressive symptoms. However, few of these studies have focused on Latinos (Hispanics), who now constitute the largest ethnic minority population in the United States. Our work addresses this gap in the literature. A number of hypotheses concerning main and contingent effects of religious attendance, salience, and consolation-seeking are developed and tested, using data on a large (N 5 3,012) sample of Mexican-origin adults drawn in the Fresno, CA area in 1995-1996. An initial inverse association between religious attendance and depressive symptoms disappears with controls for supportive social ties. However, an apparently salutary association between religious salience and depression persists despite all statistical controls; this relationship is present among both men and women, but it is significantly stronger for women. Contrary to expectations, there are signs that religious involvement may exacerbate the deleterious effects of discrimination and acculturation stress on depressive symptoms. A number of study implications, limitations, and directions for future research is discussed. C
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.