Predictors of Sleep Characteristics among Women in Southeast Texas

Autor: Carmen Radecki Breitkopf, Alisa B. Kachikis
Rok vydání: 2012
Předmět:
Zdroj: Women's Health Issues. 22:e99-e109
ISSN: 1049-3867
Popis: This study examined psychological and sociodemographic predictors of self-reported sleep characteristics including sleep duration, quality, and perceived adequacy of sleep among Hispanic and non-Hispanic women of low socioeconomic status.Cross-sectional survey data were analyzed from 2,670 women ages 18 to 55 (74% Hispanic, 18% non-Hispanic White, 8% non-Hispanic Black) participating in a cancer prevention study in southeast Texas.Women reported sleeping 7.1 hours per night on average; however, nearly 45% were short (≤6; 35.3%) or long (≥9; 9.5%) sleepers. Sleep quality was rated less than "good" for 43.7% of the total sample, and 22.5% reported adequate sleep "none" or "a little" of the time. Multivariable analyses identified different demographic and psychological predictors for the sleep characteristics; decreased sleep adequacy was associated with parity, depressive symptoms, stress, and anxiety (R(2) = 0.11); short sleep duration with age, education, and depressive symptoms (R(2) = 0.07); and poor sleep quality with ethnicity, marital and employment status, public housing accommodation, smoking status, income, acculturation, social desirability, depressive symptoms, stress, and anxiety (R(2) = 0.18). Separate analyses of the Hispanic subsample born in the United States versus elsewhere revealed differences in all sleep characteristics. In multivariable analyses, similar predictors of sleep quality and duration emerged, but only depressive symptoms, anxiety, and age were associated with sleep adequacy.Women of lower socioeconomic groups and Hispanic ethnicity may suffer poor quality sleep. A complex and distinct array of factors are associated with sleep quality, duration, and adequacy. The relationship between sleep and health and the growing U.S. Hispanic population highlight the importance of this and future research.
Databáze: OpenAIRE