Top

Gepubliceerd in:

21-12-2017

Pathways linking racial/ethnic discrimination and sleep among U.S.-born and foreign-born Latinxs

Auteurs: Luz M. Garcini, Diana A. Chirinos, Kyle W. Murdock, Annina Seiler, Angie S. LeRoy, Kristen Peek, Malcom P. Cutchin, Christopher Fagundes

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 3/2018

Abstract

This study examined the association between racial/ethnic discrimination and sleep through psychological distress and body mass index (BMI), and determined whether the aforementioned associations vary between U.S. and foreign-born Latinxs. Participants were 1332 Latinx adults enrolled in the Texas City Stress and Health Study. Multistage sampling methods were used to select participants. A model linking racial/ethnic discrimination with sleep disturbances through direct and indirect (i.e., psychological distress and BMI) paths demonstrated good fit. Greater racial/ethnic discrimination was associated with greater psychological distress and higher BMI. Psychological distress and BMI were also significant predictors of sleep disturbances. The indirect path from racial/ethnic discrimination to sleep disturbances via psychological distress was significant. A model with parameters constrained to be equal between U.S.-born and foreign-born Latinxs suggested associations were comparable between these groups. Our study demonstrated the relevance of racial/ethnic discrimination to sleep disturbances, particularly its association via psychological distress among Latinxs.

vorige artikel The role of perceived threat during emergency department cardiac evaluation and the age-posttraumatic stress disorder link

volgende artikel Elevated inflammation in association with alcohol abuse among Blacks but not Whites: results from the MIDUS biomarker study

Berkel, C., Knight, G. P., Zeiders, K. H., Tein, J. Y., Roosa, M. W., Gonzales, N. A., et al. (2010). Discrimination and adjustment for Mexican American adolescents: A prospective examination of the benefits of culturally-related values. Journal of Research on Adolescence, 20, 893–915. https://doi.org/10.1111/j.1532-7795.2010.00668.x CrossRefPubMedPubMedCentral

Bureau, U. S. C. (2015). American Community Survey 1-Year Estimates. http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Burkhauser, R. V., & Cawley, J. (2008). Beyond BMI: The value of more accurate measures of fatness and obesity in social science research. Journal of Health Economics, 27, 519–529. https://doi.org/10.1016/j.jhealeco.2007.05.005 CrossRefPubMed

Buxton, O. M., & Marcelli, E. (2010). Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Social Science and Medicine, 71, 1027–1036. https://doi.org/10.1016/j.socscimed.2010.05.041 CrossRefPubMed

Cappuccio, F. P., D’Elia, L., Strazzullo, P., & Miller, M. A. (2010). Sleep duration and all-cause mortality: A systematic review and meta-analysis of prospective studies. Sleep, 33, 585–592.CrossRefPubMedPubMedCentral

Carter, R. T., & Forsyth, J. (2010). Reactions to racial discrimination: Emotional stress and help-seeking behaviors. Psycholgy of Trauma: Theory, Research, Practice, and Policy, 2, 183–191.CrossRef

Center, P. R. (2016). Latinxs perceptions of discrimination. Retrieved November 28, 2016, from http://www.pewresearch.org/daily-number/latinos-perceptions-of-discrimination/

Chen, D., & Yang, T. C. (2014). The pathways from perceived discrimination to self-rated health: An investigation of the roles of distrust, social capital, and health behaviors. Social Science and Medicine, 104, 64–73. https://doi.org/10.1016/j.socscimed.2013.12.021 CrossRefPubMed

Cohen, S. (1988). Perceived stress in a probability sample of the United States. In S. Spacapan & S. Oskamp (Eds.), The social psychology of health: Claremont symposium on applied social psychology (pp. 31–67). Thousand Oaks, CA: Sage Publications.

Cutchin, M. P., Eschbach, K., Mair, C. A., Ju, H., & Goodwin, J. S. (2011). The socio-spatial neighborhood estimation method: An approach to operationalizing the neighborhood concept. Health Place, 17, 1113–1121. https://doi.org/10.1016/j.healthplace.2011.05.011 CrossRefPubMedPubMedCentral

Despres, J. P. (2012). Body fat distribution and risk of cardiovascular disease. Circulation, 126, 1301–1313. https://doi.org/10.1161/CIRCULATIONAHA.111.067264 CrossRefPubMed

Dudley, K. A., Weng, J., Sotres-Alvarez, D., Simonelli, G., Feliciano, E. C., Ramirez, M., ... Patel, S. R. (2017). Actigraphic sleep patterns of U.S. Hispanics: The Hispanic community health study/study of Latinos. Sleep, 40. https://doi.org/10.1093/sleep/zsw049

Eaton, W. W., Smith, C., Ybarra, M., Muntaner, C., & Tien, A. (2004). Center for epidemiologic studies depression scale: Review and revision (CESD and CESD-R). In M. E. Maruish (Ed.), The use of psychological testing for treatment planning and outcomes assessment: Instruments for adults (pp. 363–377). Mahwah, NJ: Lawrence Erlbaum Associates.

Finch, B. K., Hummer, R. A., Kol, B., & Vega, W. A. (2001). The role of discrimination and acculturative stress in the physical health of mexican-origin adults. Hispanic Journal of Behavioral Sciences, 23, 399–429. https://doi.org/10.1177/0739986301234004 CrossRef

Ford, D. E., & Cooper-Patrick, L. (2001). Sleep disturbances and mood disorders: An epidemiologic perspective. Depression and Anxiety, 14, 3–6.CrossRefPubMed

Gonzales-Barrera, A., & Lopez, M. H. (2013). A demographic profile of Mexican origin Hispanics in the United States. Retrieved February 25, 2016, from http://www.pewhispanic.org/files/2013/05/2013-04_Demographic-Portrait-of-Mexicans-in-the-US.pdf

Herva, A., Laitinen, J., Miettunen, J., Veijola, J., Karvonen, J. T., Laksy, K., et al. (2006a). Obesity and depression: Results from the longitudinal Northern Finland 1966 Birth Cohort Study. International Journal of Obesity (London), 30, 520–527. https://doi.org/10.1038/sj.ijo.0803174 CrossRef

Herva, A., Rasanen, P., Miettunen, J., Timonen, M., Laksy, K., Veijola, J., et al. (2006b). Co-occurrence of metabolic syndrome with depression and anxiety in young adults: The Northern Finland 1966 Birth Cohort Study. Psychosomatic Medicine, 68, 213–216. https://doi.org/10.1097/01.psy.0000203172.02305.ea CrossRefPubMed

Howrey, B. T., Peek, M. K., Raji, M. A., Ray, L. A., & Ottenbacher, K. J. (2012). Self-reported sleep characteristics and mortality in older adults of mexican origin: Results from the Hispanic established population for the epidemiologic study of the elderly. Journal of the American Geriatrics Society, 60, 1906–1911. https://doi.org/10.1111/j.1532-5415.2012.04144.x CrossRefPubMedPubMedCentral

Jenkins, C. D., Stanton, B. A., Niemcryk, S. J., & Rose, R. M. (1988). A scale for the estimation of sleep problems in clinical research. Journal of Clinical Epidemiology, 41, 313–321.CrossRefPubMed

Kiecolt-Glaser, J. K., Habash, D. L., Fagundes, C. P., Andridge, R., Peng, J., Malarkey, W. B., et al. (2015a). Daily stressors, past depression, and metabolic responses to high-fat meals: A novel path to obesity. Biological Psychiatry, 77, 653–660. https://doi.org/10.1016/j.biopsych.2014.05.018 CrossRefPubMed

Kiecolt-Glaser, J. K., Jaremka, L., Andridge, R., Peng, J., Habash, D., Fagundes, C. P., et al. (2015b). Marital discord, past depression, and metabolic responses to high-fat meals: Interpersonal pathways to obesity. Psychoneuroendocrinology, 52, 239–250. https://doi.org/10.1016/j.psyneuen.2014.11.018 CrossRefPubMed

Kline, R. B. (2015). Principles and practice of structural equation modeling. New York: Guilford Publications.

Koehl, M., Bouyer, J. J., Darnaudery, M., Le Moal, M., & Mayo, W. (2002). The effect of restraint stress on paradoxical sleep is influenced by the circadian cycle. Brain Research, 937, 45–50.CrossRefPubMed

Loredo, J. S., Soler, X., Bardwell, W., Ancoli-Israel, S., Dimsdale, J. E., & Palinkas, L. A. (2010). Sleep health in U.S. Hispanic population. Sleep, 33, 962–967.CrossRefPubMedPubMedCentral

Pascoe, E. A., & Smart Richman, L. (2009). Perceived discrimination and health: A meta-analytic review. Psychological Bulletin, 135, 531–554. https://doi.org/10.1037/a0016059 CrossRefPubMedPubMedCentral

Patel, S. R., & Hu, F. B. (2008). Short sleep duration and weight gain: A systematic review. Obesity (Silver Spring), 16, 643–653. https://doi.org/10.1038/oby.2007.118 CrossRef

Peppard, P. E., Young, T., Palta, M., Dempsey, J., & Skatrud, J. (2000). Longitudinal study of moderate weight change and sleep-disordered breathing. JAMA, 284, 3015–3021.CrossRefPubMed

Pew Research Center. (2016a). On views of race and inequality, Blacks and Whites are worlds apart. Retrieved January 23, 2017, from http://assets.pewresearch.org/wp-content/uploads/sites/3/2016/06/ST_2016.06.27_Race-Inequality-Final.pdf

Pew Research Center. (2016b). Roughly half of Hispanics have experienced discrimination. Retrieved November 28, 2016, from http://www.pewresearch.org/fact-tank/2016/06/29/roughly-half-of-hispanics-have-experienced-discrimination/

Pi-Sunyer, F. X. (1996). A review of long-term studies evaluating the efficacy of weight loss in ameliorating disorders associated with obesity. Clinical Therapeutics, 18, 1006–1035. (discussion 1005).CrossRefPubMed

Raikkonen, K., Matthews, K. A., & Kuller, L. H. (2007). Depressive symptoms and stressful life events predict metabolic syndrome among middle-aged women: A comparison of World Health Organization, Adult Treatment Panel III, and International Diabetes Foundation definitions. Diabetes Care, 30, 872–877. https://doi.org/10.2337/dc06-1857 CrossRefPubMed

Ramirez, T. L., & Zeba, B. (2016). Why people are using the term Latinx? Huffington Post. Retrieved May 23, 2016 from http://www.huffingtonpost.com/entry/why-people-are-using-the-term-latinx_us_57753328e4b0cc0fa136a159

Schwartz, A. R., Patil, S. P., Laffan, A. M., Polotsky, V., Schneider, H., & Smith, P. L. (2008). Obeisty and obstructive sleep apnea pathogenic mechanisms and therapeutic approaches. Proceedings of the American Thoracic Society, 5, 186–192.

Slopen, N., Lewis, T. T., & Williams, D. R. (2016). Discrimination and sleep: A systematic review. Sleep Medicine, 18, 88–95. https://doi.org/10.1016/j.sleep.2015.01.012 CrossRefPubMed

Wang, Y., & Beydoun, M. A. (2007). The obesity epidemic in the United States—Gender, age, socioeconomic, racial/ethnic, and geographic characteristics: A systematic review and meta-regression analysis. Epidemiologic Reviews, 29, 6–28. https://doi.org/10.1093/epirev/mxm007 CrossRefPubMed

Ware, J., & Sherbourne, C. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30, 473–483.CrossRefPubMed

Young, T., Shahar, E., Nieto, F. J., Redline, S., Newman, A. B., Gottlieb, D. J., et al. (2002). Predictors of sleep-disordered breathing in community-dwelling adults: The Sleep Heart Health Study. Archives of Internal Medicine, 162, 893–900.CrossRefPubMed

Titel: Pathways linking racial/ethnic discrimination and sleep among U.S.-born and foreign-born Latinxs
Auteurs: Luz M. Garcini
Diana A. Chirinos
Kyle W. Murdock
Annina Seiler
Angie S. LeRoy
Kristen Peek
Malcom P. Cutchin
Christopher Fagundes
Publicatiedatum: 21-12-2017
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 3/2018
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-017-9907-2

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 3/2018

Temporal relationship between daily pain and actigraphy sleep patterns in pediatric sickle cell disease

Lower life satisfaction, active coping and cardiovascular disease risk factors in older African Americans: outcomes of a longitudinal church-based intervention

Public support for pictorial warnings on cigarette packs: an experimental study of US smokers

Bidirectional mediation of depression and pain intensity on their associations with upper extremity physical function

Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations

Age differences in physical activity intentions and implementation intention preferences