Abstract:Objectives
Whether racial/ethnic differences in prevalence/reporting of sleep disorders exist in pregnant women/women of child-bearing age is unknown. Study objectives were to estimate prevalence of sleep disorders and to examine racial/ethnic differences in sleep disorders, reporting of sleep issues, and amount of sleep among women of child-bearing age (15–44 years) in the US.
Methods
Through a secondary analysis of the National Health and Nutrition Examination Survey 2005–2010 (3175 non-pregnant, 432 pregn… Show more
“…A prior study has informed the complex relationship between pregnancy, sleep and race/ethnicity in the USA by characterizing sleep duration among both pregnant and non‐pregnant women (Amyx et al, ). The authors documented disparities in the prevalence of sleep disorders by race/ethnicity among pregnant women, but not among non‐pregnant women.…”
Sleep disturbances among pregnant women are increasingly linked to suboptimal maternal/birth outcomes. Few studies in the USA investigating sleep by pregnancy status have included racially/ethnically diverse populations, despite worsening disparities in adverse birth outcomes. Using a nationally representative sample of 71,644 (2,349 pregnant) women from the National Health Interview Survey (2004–2017), we investigated relationships between self‐reported pregnancy and six sleep characteristics stratified by race/ethnicity. We also examined associations between race/ethnicity and sleep stratified by pregnancy status. We used average marginal predictions from fitted logistic regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for each sleep dimension, adjusting for sociodemographic and health characteristics. Pregnant women were less likely than non‐pregnant women to report short sleep (PROverall = 0.75; 95% CI, 0.68–0.82) and more likely to report long sleep (PROverall = 2.06; 95% CI, 1.74–2.43) and trouble staying asleep (PROverall = 1.34; 95% CI, 1.25–1.44). The association between pregnancy and sleep duration was less pronounced among women aged 35–49 years compared to those <35 years. Among white women, sleep medication use was less prevalent among pregnant compared to non‐pregnant women (PRWhite = 0.45; 95% CI, 0.31–0.64), but this association was not observed among black women (PRBlack = 0.98; 95% CI, 0.46–2.09) and was less pronounced among Hispanic/Latina women (PRHispanic/Latina = 0.82; 95% CI, 0.38–1.77). Compared to pregnant white women, pregnant black women had a higher short sleep prevalence (PRBlack = 1.35; 95% CI, 1.08–1.67). Given disparities in maternal/birth outcomes and sleep, expectant mothers (particularly racial/ethnic minorities) may need screening followed by treatment for sleep disturbances. Our findings should be interpreted in the historical and sociocultural context of the USA.
“…A prior study has informed the complex relationship between pregnancy, sleep and race/ethnicity in the USA by characterizing sleep duration among both pregnant and non‐pregnant women (Amyx et al, ). The authors documented disparities in the prevalence of sleep disorders by race/ethnicity among pregnant women, but not among non‐pregnant women.…”
Sleep disturbances among pregnant women are increasingly linked to suboptimal maternal/birth outcomes. Few studies in the USA investigating sleep by pregnancy status have included racially/ethnically diverse populations, despite worsening disparities in adverse birth outcomes. Using a nationally representative sample of 71,644 (2,349 pregnant) women from the National Health Interview Survey (2004–2017), we investigated relationships between self‐reported pregnancy and six sleep characteristics stratified by race/ethnicity. We also examined associations between race/ethnicity and sleep stratified by pregnancy status. We used average marginal predictions from fitted logistic regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for each sleep dimension, adjusting for sociodemographic and health characteristics. Pregnant women were less likely than non‐pregnant women to report short sleep (PROverall = 0.75; 95% CI, 0.68–0.82) and more likely to report long sleep (PROverall = 2.06; 95% CI, 1.74–2.43) and trouble staying asleep (PROverall = 1.34; 95% CI, 1.25–1.44). The association between pregnancy and sleep duration was less pronounced among women aged 35–49 years compared to those <35 years. Among white women, sleep medication use was less prevalent among pregnant compared to non‐pregnant women (PRWhite = 0.45; 95% CI, 0.31–0.64), but this association was not observed among black women (PRBlack = 0.98; 95% CI, 0.46–2.09) and was less pronounced among Hispanic/Latina women (PRHispanic/Latina = 0.82; 95% CI, 0.38–1.77). Compared to pregnant white women, pregnant black women had a higher short sleep prevalence (PRBlack = 1.35; 95% CI, 1.08–1.67). Given disparities in maternal/birth outcomes and sleep, expectant mothers (particularly racial/ethnic minorities) may need screening followed by treatment for sleep disturbances. Our findings should be interpreted in the historical and sociocultural context of the USA.
“…We believe that despite this limitation, these findings provide important information on the unique contribution of different aspects of pain related cognitions and have important clinical implications. It is possible that the self-report measures for insomnia and sleep-related cognitions used in this study did not capture the full magnitude or subtle differences of the manifestation of insomnia in AA, possibly since AA tend to under report trouble sleeping despite having shorter sleep durations 3 . This might have contributed to insomnia not emerging as a mediator of the relationship between ethnicity and clinical pain in our analyses.…”
Section: Discussionmentioning
confidence: 99%
“…Longitudinal data provide evidence for a strong relationship between sleep and pain in TMJD, indicating that insomnia symptom severity predicts subsequent pain a month later 46 and decreased sleep quality predicts TMJD onset 48, 49, 53 . Ethnic differences in sleep have also been documented in the insomnia literature; AA report poorer sleep quality, longer sleep onset latency and shorter sleep duration compared to Caucasians 15, 30, 61 yet paradoxically, AA women tend to report less trouble sleeping 3 . These disparities in sleep may in part account for the ethnic differences found in pain.…”
Negative cognitions are central to the perpetuation of chronic pain and sleep disturbances. Patients with temporomandibular joint disorder (TMJD), a chronic pain condition characterized by pain and limitation in the jaw area, have a high comorbidity of sleep disturbances that possibly exacerbate their condition. Ethnic group differences are documented in pain, sleep, and coping, yet the mechanisms driving these differences are still unclear, especially in clinical pain populations. We recruited 156 women (79% white, 21% African American) diagnosed with TMJD as part of a randomized, controlled trial evaluating the effectiveness of interventions targeting sleep and pain catastrophizing on pain in TMJD. Analysis of baseline data demonstrated that, relative to white participants, African Americans exhibited higher levels of clinical pain, insomnia severity, and pain catastrophizing, yet there was no ethnic group difference in negative sleep-related cognitions. Mediation models revealed pain catastrophizing, but not sleep-related cognitions or insomnia severity, to be a significant single mediator of the relationship between ethnicity and clinical pain. Only the helplessness component of catastrophizing together with insomnia severity sequentially mediated the ethnicity-pain relationship. These findings identify pain catastrophizing as a potentially important link between ethnicity and clinical pain and suggest that interventions targeting pain-related helplessness could improve both sleep and pain, especially for African American patients. Perspective:Pain-related helplessness and insomnia severity contribute to ethnic differences found in clinical pain among woman with TMJD. Findings can potentially inform interventions that target insomnia and catastrophizing to assist in reducing ethnic disparities in clinical pain.
“…Women were more at risk for short and poor sleep quality (Mehta, Shafi, & Bhat, 2015;Nugent & Black, 2016), since their sleep can be influenced by menstrual cycle, pregnancy and menopause (Mehta et al, 2015). According to data from the US National Health and Nutrition Examination Survey, women of childbearing age (WOCBA) from 15 to 44 years of age reported poor sleep quality more frequently compared to pregnant women of the same age range (Amyx, Xiong, Xie, & Buekens, 2017). Thus, studies investigating the correlates of sleep should be separated by sex and focus on WOCBA who may be at particular risk for short/poor sleep.…”
Some WOCBA may be more at risk for short or poor sleep based on their demographics and health behaviors. This can be used to identify which WOCBA are most in need of sleep interventions.
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