全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

The Association of Chronic Stress and Metabolic Syndrome in Mexican American Women Living in a Rural Community along the US-Mexico Border

DOI: 10.4236/ojn.2025.153014, PP. 178-197

Keywords: Metabolic Syndrome, Chronic Stressors, Mexican American Women

Full-Text   Cite this paper   Add to My Lib

Abstract:

Background: The prevalence of metabolic syndrome (MetS) is high in Latina women. Obesity is a major contributor to the development of cardiometabolic risk factors. Little is known about the contributions of other associated health factors in the development of MetS. Purpose: Describe the differences and associations in chronic stress, social support, health behaviors, and the presence of MetS in Mexican American women living in a rural community along the California U.S.-Mexico border. Method: This cross-sectional study involved 150 women of Mexican origin (Mage = 44.80 years); 66.7% spoke Spanish, and 70% had public health insurance. A scoring criteria was used to determine MetS. Chronic stressors were measured via Chronic Stress Burden Scale. Results: Of 86 (57%) participants with MetS, nearly 90% were obese; of 64 participants who did not have MetS, 75% were obese. The mean difference in the number of chronic stressors was statistically significantly higher among participants with MetS (2.47 [SD = 1.66]) than among those without MetS (1.94 [SD = 1.39]). The odds of having MetS increased 26% for each increase in the number of chronic stressors (OR: 1.26; 95% CI: 1.01, 1.7). Participants with MetS had twice the odds of being physically inactive or engaged in unhealthy eating. Conclusion: Early recognition of cardiometabolic risks and improving health behaviors are essential to avoid adverse health consequences for Mexican American women. Implications for Nursing Practice: Study findings may help nurses and other healthcare providers identify Mexican American women’s psychosocial needs and develop appropriate evidence-based interventions for promoting healthy behaviors.

References

[1]  United States Census Bureau (2019) Vintage 2018 Population Estimates. Department of Commerce.
https://www.census.gov/newsroom/facts-for-features/2019/hispanic-heritage-month.html#:~:text=59.9%20million,of%20the%20nation’s%20total%20population
[2]  Moore, J.X., Chaudhary, N. and Akinyemiju, T. (2017) Metabolic Syndrome Prevalence by Race/Ethnicity and Sex in the United States, National Health and Nutrition Examination Survey, 1988-2012. Preventing Chronic Disease, 14, Article 160287.
https://doi.org/10.5888/pcd14.160287
[3]  Ahnquist, J., Wamala, S.P. and Lindstrom, M. (2012) Social Determinants of Health —A Question of Social or Economic Capital? Interaction Effects of Socioeconomic Factors on Health Outcomes. Social Science & Medicine, 74, 930-939.
https://doi.org/10.1016/j.socscimed.2011.11.026
[4]  Ortiz, M.S., Myers, H.F., Dunkel Schetter, C., Rodriguez, C.J. and Seeman, T.E. (2015) Psychosocial Predictors of Metabolic Syndrome among Latino Groups in the Multi-ethnic Study of Atherosclerosis (MESA). PLOS ONE, 10, e0124517.
https://doi.org/10.1371/journal.pone.0124517
[5]  Heiss, G., Snyder, M.L., Teng, Y., Schneiderman, N., Llabre, M.M., Cowie, C., Carnethon, M., Kaplan, R., Giachello, A., Gallo, L., Loehr, L. and Avilés-Santa, L. (2014) Prevalence of Metabolic Syndrome among Hispanics/Latinos of Diverse Background: The Hispanic Community Health Study/Study of Latinos. Diabetes Care, 37, 2391-2399.
https://doi.org/10.2337/dc13-2505
[6]  Gallo, L.C., Roesch, S.C., Fortmann, A.L., Carnethon, M.R., Penedo, F.J., Perreira, K., Birnbaum-Weitzman, O., Wassertheil-Smoller, S., Castañeda, S.F., Talavera, G.A., Sotres-Alvarez, D., Daviglus, M.L., Schneiderman, N. and Isasi, C.R. (2014) Associations of Chronic Stress Burden, Perceived Stress, and Traumatic Stress with Cardiovascular Disease Prevalence and Risk Factors in the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study. Psychosomatic Medicine, 76, 468-475.
https://doi.org/10.1097/PSY.0000000000000069
[7]  Mariotti A. (2015) The Effects of Chronic Stress on Health: New Insights into the Molecular Mechanisms of Brain-Body Communication. Future Science OA, 1, Article FSO23.
https://doi.org/10.4155/fso.15.21
[8]  Emanuela, F., Grazia, M., Marco, De.R., Maria Paola, L., Giorgio, F. and Marco, B. (2012) Inflammation as a Link between Obesity and Metabolic Syndrome. Journal of Nutrition and Metabolism, 2012, Article 476380.
https://doi.org/10.1155/2012/476380
[9]  Esquer, E. (2021) The Association of Chronic Stress, Social Support, Health Behaviors, and Metabolic Syndrome among Hispanic Women. Doctoral Dissertation, University of San Diego.
[10]  Adams, E.J., Grummer-Strawn, L. and Chavez, G. (2003) Food Insecurity Is Associated with Increased Risk of Obesity in California Women. The Journal of Nutrition, 133, 1070-1074.
https://doi.org/10.1093/jn/133.4.1070
[11]  Kaiser, L.L., Townsend, M.S., Melgar-Quiñonez, H.R., Fujii, M.L. and Crawford, P.B. (2004) Choice of Instrument Influences Relations between Food Insecurity and Obesity in Latino Women. The American Journal of Clinical Nutrition, 80, 1372-1378.
https://doi.org/10.1093/ajcn/80.5.1372
[12]  Alberti, K.G., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., Fruchart, J.C., James, W.P., Loria, C.M., Smith Jr., S.C. (2009) Harmonizing the Metabolic Syndrome: Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 120, 1640-1645.
https://doi.org/10.1161/CIRCULATIONAHA.109.192644
[13]  McEwen, B.S. (1998) Stress, Adaptation, and Disease: Allostasis and Allostatic Load. Annals of the New York Academy of Sciences, 840, 33-44.
https://doi.org/10.1111/j.1749-6632.1998.tb09546.x
[14]  Pender, N.J., Murdaugh, C.L. and Parsons, M.A. (2005) Health Promotion in Nursing Practice. 5th Edition, Prentice Hall.
[15]  Read, S. and Grundy, E. (2012) Allostatic Load—A Challenge to Measure Multisystem Physiological Dysregulation. Pathways Node at NCRM. National Centre for Research Methods Working Paper (Unpublished).
http://eprints.ncrm.ac.uk/2879/
[16]  Gunderson, E.P., Hurston, S.R., Ning, X., Lo, J.C., Crites, Y., Walton, D., Dewey, K.G., Azevedo, R.A., Young, S., Fox, G., Elmasian, C.C., Salvador, N., Lum, M., Sternfeld, B., Quesenberry Jr., C.P. for the Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy Investigators (2015) Lactation and Progression to Type 2 Diabetes Mellitus after Gestational Diabetes Mellitus: A Prospective Cohort Study. Annals of Internal Medicine, 163, 889-898.
https://doi.org/10.7326/M15-0807
[17]  Bromberger, J.T. and Matthews, K.A. (1996) A Longitudinal Study of the Effects of Pessimism, Trait Anxiety, and Life Stress on Depressive Symptoms in Middle-Aged Women. Psychology and Aging, 11, 207-213.
https://doi.org/10.1037/0882-7974.11.2.207
[18]  Mujahid, M.S., Diez Roux, A.V., Cooper, R.C., Shea, S. and Williams, D.R. (2011) Neighborhood Stressors and Race/Ethnic Differences in Hypertension Prevalence (The Multi-Ethnic Study of Atherosclerosis). American Journal of Hypertension, 24, 187-193.
https://doi.org/10.1038/ajh.2010.200
[19]  Mitchell, P.H., Powell, L., Blumenthal, J., Norten, J., Ironson, G., Pitula, C.R., Froelicher, E.S., Czajkowski, S., Youngblood, M., Huber, M. and Berkman, L.F. (2003) A Short Social Support Measure for Patients Recovering from Myocardial Infarction: The Enrichd Social Support Inventory. Journal of Cardiopulmonary Rehabilitation, 23, 398-403.
https://doi.org/10.1097/00008483-200311000-00001
[20]  Burg, M.M., Barefoot, J., Berkman, L., Catellier, D.J., Czajkowski, S., Saab, P., Huber, M., DeLillo, V., Mitchell, P., Skala, J., Taylor, C.B. for the ENRICHD Investigators (2005) Low Perceived Social Support and Post-Myocardial Infarction Prognosis in the Enhancing Recovery in Coronary Heart Disease Clinical Trial: The Effects of Treatment. Psychosomatic Medicine, 67, 879-888.
https://doi.org/10.1097/01.psy.0000188480.61949.8c
[21]  Everson-Rose, S.A., Roetker, N.S., Lutsey, P.L., Kershaw, K.N., Longstreth Jr., W.T., Sacco, R.L., Diez Roux, A.V. and Alonso, A. (2014) Chronic Stress, Depressive Symptoms, Anger, Hostility, and Risk of Stroke and Transient Ischemic Attack in the Multi-Ethnic Study of Atherosclerosis. Stroke, 45, 2318-2323.
https://doi.org/10.1161/STROKEAHA.114.004815
[22]  Lenth, R.V. (2018) Java Applets for Power and Sample Size. Computer Software.
http://www.stat.uiowa.edu/~rlenth/Power
[23]  Jurgens, S.M., Prieto, S. and Hayes, J.P. (2023) Inflammatory Biomarkers Link Perceived Stress with Metabolic Dysregulation. Brain, Behavior, & ImmunityHealth, 34, Article 100696.
https://doi.org/10.1016/j.bbih.2023.100696
[24]  Agurs-Collins, T., Alvidrez, J., ElShourbagy Ferreira, S., Evans, M., Gibbs, K., Kowtha, B., Pratt, C., Reedy, J., Shams-White, M. and Brown, A.G. (2024) Perspective: Nutrition Health Disparities Framework: A Model to Advance Health Equity. Advances in Nutrition, 15, Article 100194.
https://doi.org/10.1016/j.advnut.2024.100194
[25]  Decker, S.L., Kostova, D., Kenney, G.M. and Long, S.K. (2013) Health Status, Risk Factors, and Medical Conditions among Persons Enrolled in Medicaid vs Uninsured Low-Income Adults Potentially Eligible for Medicaid under the Affordable Care Act. JAMA, 309, 2579-2586.
https://doi.org/10.1001/jama.2013.7106
[26]  Carson, C. and Lawson, H.A. (2018) Epigenetics of Metabolic Syndrome. Physiological Genomics, 50, 947-955.
https://doi.org/10.1152/physiolgenomics.00072.2018

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133