A340 SLEEP, Volume 42, Abstract Supplement, 2019 B. Clinical Sleep Science and Practice VIII. Sleep and Medical Disorders use/dosage and physiological sleep in FM, and examined whether effects depended on age or pain intensity. Methods: Participants (N=193,M age =51.7,SD=11.8) with FM and self-reported sleep disturbance underwent ambulatory PSG measuring sleep onset latency (SOL), wake time after sleep onset (WASO), total sleep time (TST), %stage-1 sleep, %stage-2 sleep, %stage-3/4 (slow wave sleep,SWS), %rapid eye movement (REM) sleep, and apnea hypopnea index (AHI). Participants completed 14 daily diaries recording evening pain intensity, and daily opi- oid/sleep medication use (Y/N). Medication names/dosage were recorded. Milligrams of opiates were converted to lowest recom- mended dosage (LRD). Multiple regressions determined whether opioid use or average LRD amongst opioid users independently predicted or interacted with age/pain intensity to predict sleep out- comes, controlling for use of sleep medication and AHI. Results: Opioid use predicted greater SOL and %stage-2 sleep, and predicted lower %SWS. Amongst opioid users (n=65), LRD inter- acted with age to predict SOL (B=2.59,SE=1.00,p=.01), accounting for 9% SOL variance. Specifcally, higher dosage predicted longer SOL for older adults, whereas there was no association for middle-aged/ younger adults. LRD interacted with pain intensity to predict %SWS (B=.27,SE=.08,p=.002), accounting for 15% variance in %SWS. Specifcally, higher dosage predicted reduced %SWS for individuals with lower pain, increased %SWS for individuals with higher pain, and did not predict %SWS for patients with average pain. Opioid use/ dosage did not predict WASO, TST, %stage-1, or %REM. Conclusion: Results suggest opioid use in FM prompts changes in sleep architecture, specifcally increasing amount of lighter sleep and reducing SWS. Opioid-related sleep disruption may be exacerbated at higher doses in older adults and in patients with low pain, whereas higher doses may promote deeper sleep in patients with high pain. Support (If Any): NIAMS (R01AR055160/R01AR005160- S1;PI,McCrae). Data collected at the University of Florida (Clinical Trial-NCT02001077;PI,McCrae). 0847 ASSOCIATIONS BETWEEN OBJECTIVE AFTERNOON AND EVENING PHYSICAL ACTIVITY AND OBJECTIVE SLEEP IN FIBROMYALGIA Kevin D. McGovney, BA, Ashley F. Curtis, Dillon McCann, Christina S. McCrae, PhD University Of Missouri, Columbia, MO, USA. Introduction: Patients with fbromyalgia (FM) suffer from chronic widespread pain which limits their physical activity, and is asso- ciated with disturbed sleep. However, the relationship between physical activity, pain level, and nighttime sleep is unclear. This study examined whether objectively measured activity levels (via actigraphy) and pain intensity are associated with actigraphically measured sleep. Methods: Adults with FM (n=160, Mage=52, SD=12, 93% female) completed 14 days of actigraphy. Activity levels (i.e., magnitude of wrist motion captured per 30 second epoch) were recorded, and average afternoon/evening activity for intervals 12:00-15:00, 15:00- 18:00, and 18:00-21:00 was computed, removing days in which participants slept during these periods. Multiple linear regressions examined whether afternoon/evening activity, pain, or their inter- action, predicted actigraphically measured sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), total wake time (TWT), early morning snooze time, and sleep eff- ciency (SE), controlling for age, body mass index, and usage of sleep or pain medication. Results: Greater evening activity from 18:00-21:00 was inde- pendently associated with lower SE (B= -.01, p=.02) and higher TWT (B=.06, p=.03). Greater pain intensity was independently associated with lower SE (B= -.06, p=.03). Activity from 12:00- 15:00 and 15:00-18:00 was not signifcantly associated with sleep outcomes. Conclusion: Results suggest that in FM, increased evening physical activity, regardless of pain level, may exacerbate objective sleep dis- turbance. It is likely that higher evening activity increases pre-bed- time arousal, and leads to more fragmented sleep. Reducing evening activity levels may help promote better sleep quality in FM. Support (If Any): NIAMS (R01AR055160/R01AR005160- S1;P1,McCrae). Data collected at the University of Florida (Clinical Trial-NCT02001077;PI,McCrae). 0848 HIV STATUS AND SLEEP DISTURBANCE IN COLLEGE STUDENTS AND RELATIONSHIP WITH SMOKING Michael Grandner, PhD MTR 1 , Elizabeth Connick, MD 2 , Freda Patterson, PhD 3 1 Department of Psychiatry, University of Arizona, Tucson, AZ, USA, 2 Department of Medicine, University of Arizona, Tucson, AZ, USA, 3 Department of Health Behavior Science, University of Delaware, Newark, DE, USA. Introduction: Adults living with HIV have greater sleep diffculties and are more likely to smoke cigarettes. Not known is if these asso- ciations are present in younger adults, such as college students, and if current smoking exacerbates the sleep diffculties experienced by college students with HIV. Methods: Data were evaluated from the 2011-2014 waves of the National College Health Assessment, an annual survey conducted by the American College Health Association. Health conditions (including HIV positive status) were self-reported. Participants were also asked whether “sleep diffculties” were “traumatic or diffcult for you to handle” over the past 12 months. Number of cigarettes per month was self-reported (classifed as smoker or non- smoker). N=112,807, including N=281 HIV positive, provided data. Logistic regression models were adjusted for age, sex, and survey year. Results: HIV positive students were more likely to be smok- ers (OR=1.74, 95%CI[1.08,2.81], p=0.023) and were more likely to experience sleep diffculties (OR=2.20, 95%CI[1.69,2.85], p<0.0005). An HIV-by-smoking interaction was found (p<0.0005). When models were stratifed by smoking, the relationship between HIV status and sleep diffculties was seen among non-smokers (OR=2.11), and this relationship was stronger among smokers (OR=2.62). Conclusion: Among college students, HIV positive status is asso- ciated with increased sleep diffculties. These problems are worse among smokers. Not only are sleep interventions warranted in this vulnerable group, but smoking cessation efforts could potentially be enhanced by sleep interventions in this group. Support (If Any): R01MD012734 and R01MD011600 and NCAA Innovations Grant 0849 SLEEP DISTURBANCE IN WOMEN WITH AND WITHOUT HIV: THE ROLE OF PSYCHOSOCIAL FACTORS Helen J. Burgess 1 , Kathleen M. Weber 2 , Jane Burke-Miller 2 , Leah McClellan 2 , Elizabeth Daubert 2 , Caitlin Bond 2 , Ralph Morack 2 , Mardge Cohen 2 , Audrey French 2 Downloaded from https://academic.oup.com/sleep/article/42/Supplement_1/A340/5450887 by guest on 21 June 2022