AIMS: The aims were to identify the most useful parameters of acculturation in relation to self-reported sleep disturbance and describe risk factors for sleep disturbance in women of Mexican descent. BACKGROUND: Little is known about acculturation as a factor for poor sleep in the context of other personal factors such as income or sense of resilience or mastery for Latinas in the United States. DESIGN: This study was a secondary analysis of cross sectional survey data. METHODS: Personal factors were incorporated into a modification of the conceptual framework of impaired sleep to guide our secondary analysis of self-reported sleep disturbance. Data were collected from a convenience sample of 312 women of Mexican descent of childbearing age (21-40 years) located in an urban California community were collected and previously analysed in relation to depressive symptoms and post-traumatic stress disorder. The general sleep disturbance scale (in English and Spanish) was used to assess sleep disturbance. Data was collected in 1998 from September through December. RESULTS: Early socialization to the United States during childhood was the most useful acculturation parameter for understanding self-reported sleep disturbance in this sample. In a multivariate regression analysis, three factors (higher acculturation, lower income and higher depressive symptoms) were statistically significant in accounting for 40% of the variance in sleep disturbance. CONCLUSION: When low income Latinas of Mexican descent report sleep problems, clinicians should probe for environmental sleep factors associated with low income, such as noise, over-crowding and exposure to trauma and violence, and refer the woman to psychotherapy and counselling rather than merely prescribing a sleep medication.
AIMS: The aims were to identify the most useful parameters of acculturation in relation to self-reported sleep disturbance and describe risk factors for sleep disturbance in women of Mexican descent. BACKGROUND: Little is known about acculturation as a factor for poor sleep in the context of other personal factors such as income or sense of resilience or mastery for Latinas in the United States. DESIGN: This study was a secondary analysis of cross sectional survey data. METHODS: Personal factors were incorporated into a modification of the conceptual framework of impaired sleep to guide our secondary analysis of self-reported sleep disturbance. Data were collected from a convenience sample of 312 women of Mexican descent of childbearing age (21-40 years) located in an urban California community were collected and previously analysed in relation to depressive symptoms and post-traumatic stress disorder. The general sleep disturbance scale (in English and Spanish) was used to assess sleep disturbance. Data was collected in 1998 from September through December. RESULTS: Early socialization to the United States during childhood was the most useful acculturation parameter for understanding self-reported sleep disturbance in this sample. In a multivariate regression analysis, three factors (higher acculturation, lower income and higher depressive symptoms) were statistically significant in accounting for 40% of the variance in sleep disturbance. CONCLUSION: When low income Latinas of Mexican descent report sleep problems, clinicians should probe for environmental sleep factors associated with low income, such as noise, over-crowding and exposure to trauma and violence, and refer the woman to psychotherapy and counselling rather than merely prescribing a sleep medication.
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Authors: Kimberly L D'Anna-Hernandez; Esmeralda Garcia; Mary Coussons-Read; Mark L Laudenslager; Randal G Ross Journal: Matern Child Health J Date: 2016-02
Authors: Carmela Alcántara; Linda C Gallo; Jia Wen; Katherine A Dudley; Douglas M Wallace; Yasmin Mossavar-Rahmani; Daniela Sotres-Alvarez; Phyllis C Zee; Alberto R Ramos; Megan E Petrov; Melynda D Casement; Martica H Hall; Susan Redline; Sanjay R Patel Journal: Sleep Date: 2019-04-01 Impact factor: 5.849
Authors: Janna R Gordon; Vanessa L Malcarne; Scott C Roesch; Richard G Roetzheim; Kristen J Wells Journal: Eval Health Prof Date: 2018-05-13 Impact factor: 2.651
Authors: Rachel Manber; Dana Steidtmann; Andrea S Chambers; William Ganger; Sarah Horwitz; Cynthia D Connelly Journal: J Womens Health (Larchmt) Date: 2013-07-17 Impact factor: 2.681
Authors: Carmela Alcántara; Sanjay R Patel; Mercedes Carnethon; Sheila Castañeda; Carmen R Isasi; Sonia Davis; Alberto Ramos; Elva Arredondo; Susan Redline; Phyllis C Zee; Linda C Gallo Journal: SSM Popul Health Date: 2017-12