McCrae, Christina S.

Abstract Introduction Daily fluctuations in sleep disturbances have been shown to shape pain experiences among individuals with chronic pain. Additional biobehavioral factors, such as abuse history, depression, current and long-term anxiety, opioid use, physical functioning, and fatigue, may also affect daily pain outcomes. Yet the extent to which these factors collectively contribute to daily pain intensity and unpleasantness remains insufficiently understood. Methods Using baseline data from the SPINII randomized controlled trial (R01NR017168; McCrae, PI), women with insomnia and fibromyalgia (N = 294, x- age = 40) completed 14 days of sleep diaries assessing sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), and pain intensity and unpleasantness (0–100). Additional predictors included abuse history, Beck Depression Inventory (BDI), State–Trait Anxiety Inventory (STAI), and PROMIS-57 physical functioning and social functioning. Linear mixed models examined the effects of sleep and related factors on daily pain. Results Significant predictors of pain intensity included higher between-person SOL (b = 0.08, p < .001) and WASO (b = 0.08, p < .001), lower between-person TST (b = -0.10, p < .001), lower within-person TST (b = −0.03, p < .001), opioid use (b = 2.84, p = .029), poorer physical functioning (b = −0.35, p = .008), and higher depression scores (b = 0.20, p = .046). Pain unpleasantness showed nearly identical patterns, with only physical functioning becoming non-significant. Random intercepts and residual variance values were significant in both models (p < .001), indicating within- and between-person variation in pain. ICCs of .80-.85 revealed that the majority of variance was between-person, while non-significant autocorrelations (p > .05) indicated minimal day-to-day carryover effects beyond stable individual differences. Conclusion Overall sleep quality and emotional health shape pain experience more strongly than daily fluctuations. Although TST offers some next-day relief, chronic contributors are more relevant to daily pain. Effects were largely consistent; between- and within-person TST showed strong effects, and depression had a slightly larger effect on pain unpleasantness than pain sensitivity, reinforcing a multidimensional biopsychosocial pain process. These findings highlight the need for integrated interventions that strengthen sleep, emotional well-being, and physical functioning. Support (if any) NIDA

Abstract Introduction Chronic and episodic headaches have a strong bidirectional relationship with insomnia and poor sleep outcomes. AM (morning) headaches are common among chronic pain populations, but additional research is needed to understand their pain experiences and potentially inform targeted interventions. Herein, we investigated whether presence of AM headaches is associated with differences in diary-based sleep parameters and pain ratings in women with pain and sleep complaints. We hypothesize individuals with AM headaches will have more sleep disturbances and fatigue as well as greater pain intensity and unpleasantness. Methods Women (N=293, Mage=39.59, SD 12.65, 65% with morning headaches) reporting insomnia and pain complaints (65% also reporting morning headaches) were recruited in mid-Missouri for an RCT (R01NR017168, ClinicalTrials.gov Identifier: NCT03744156). During baseline assessment, participants completed 2 weeks of daily electronic diaries and reported AM headache presence (Y/N). Independent samples t-tests (SPSS) evaluated differences in sleep parameters and pain ratings in those with and without AM headaches. Participants reporting diagnosed sleep apnea were excluded. Results Morning fatigue was higher among individuals with AM headaches (M=54.72+/-18.25) than those without (M=50.02+/-19.12), t(291)=-2.07, p=.04. Pain intensity was greater in the AM headache group in the morning (M=47.65+/-19.73 vs. M=42.52+/-21.91), t(291)=-2.04, p=.042, and evening, (M=49.62+/-19.10 vs. M=44.23+/-20.66), t(283)=-2.21, p=.028. Evening pain unpleasantness was also rated as higher among those with AM headaches (M=45.90+/-19.55) compared to those without (M=40.82+/-22.52), t(283)=-1.99, p=.048, but morning pain unpleasantness ratings only trended towards significance. Conclusion AM headaches can present as a chronic condition or as a symptom of other sleep disorders. Individuals with AM headaches had minimal sleep differences overall, but morning fatigue, pain intensity (AM and PM), and evening pain unpleasantness ratings were all significantly greater in those with AM headaches. Undiagnosed sleep disorders other than insomnia (i.e., obstructive sleep apnea) or other health concerns, like increased intracranial pressure, may have contributed to pain-related findings. Considering the high prevalence of COMISA in chronic pain populations, further investigation should examine its impact on sleep and headache severity. Support (if any) National Institute of Nursing Research (NR017168; Clinical trial: NCT03744156; PI: McCrae).

Abstract Introduction Growing evidence suggests that there are sleep health disparities in the United States that disadvantage communities of color, and other socioeconomically marginalized groups in medical and mental health settings. Research in public policy indicates several points of intervention for increasing engagement with treatment services in communities of color at the primary care level, including individual beliefs about mental health/health issues, and perceptions of various points of treatment engagement, as well as community factors (e.g., neighbors and church; Davey & Watson, 2007). Accordingly, the current study implemented a community-level virtual intervention that targeted beliefs about sleep and perceptions of behavioral sleep treatment with the aim to increase willingness to engage with treatment at the primary care level. Methods We conducted 12 semi-structured qualitative focus groups with 35 individuals from communities of color about their awareness, perception of, and access to behavioral sleep treatment in healthcare settings. Transcripts were coded using the Rapid and Rigorous Qualitative Data Analysis method for themes relevant to the guiding question, 'What are people/persons of color experiences and perspectives of sleep, and specific areas of improvement to increase people/persons of color groups' utilization of behavioral sleep services?'. Results After a brief period of education (range = 15-20 minutes) about cognitive-behavioral therapy for insomnia (CBTi), participants perceived behavioral sleep treatment as a favorable option both over and in conjunction with pharmacological options. Medical mistrust was mentioned as the most significant barrier in each focus group, with participants highlighting that increased attention to collaborative care and comprehensive education about treatment options at the primary care level would be helpful for reducing mistrust. Pre- and post-group survey analysis indicated a significant increase in participants’ willingness to use primary care as an entry point to access/utilization of behavioral sleep treatment (pre-group willingness = 54.84%, post-group willingness = 91.42%, p<.001). Conclusion Findings suggest that intervention at the community level can be powerful for increasing the willingness of communities of color to engage in treatment at the primary care level. It is paramount that future research continues to examine ways to increase engagement with behavioral sleep treatment to help reduce sleep health disparities. Support (if any)