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Prescription opioid use and physical inactivity: independent associations and no multiplicative interaction with
Chaomin Wu1, Gongchen Duan1, Faxing Wang1
1Department of Anesthesiology, Lishui People's Hospital, The First Affiliated Hospital of Lishui University, Wenzhou Medical University Lishui Hospital, China.
Background:
Sleep disorders affect roughly one-third of adults worldwide. Both prescription opioid use and physical activity (PA) may influence sleep health.
Methods:
We pooled four cycles of NHANES (2007-2014). Among 17,490 adults aged ≥20 years with complete data on prescription opioid use, PA, sleep disorders, and covariates, survey-weighted (complex-design) logistic regression estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for sleep disorders by opioid use and PA status (inactive <150 min/week vs active ≥150 min/week). Models were progressively adjusted for sociodemographics, lifestyle factors, BMI, and chronic conditions; the primary model (Model 3) is reported, with an extended sensitivity model (Model 4) additionally adjusting for depression (PHQ-9) and sedative/hypnotic use. Restricted cubic splines (RCS) examined dose-response patterns for total and domain-specific PA (occupation, transportation, leisure-time). Subgroup and sensitivity analyses were performed.
Results:
Opioid use was associated with higher odds of self-reported clinician-diagnosed sleep disorders (adjusted OR 1.82; 95 % CI 1.52-2.20; P < 0.001). PA was also associated with higher odds (adjusted OR 1.33; 95 % CI 1.12-1.59; P = 0.002). Relative to adults with no opioid use and active PA, adjusted odds ratios were 2.21 (95 % CI 1.71-2.85) for opioid use only, 1.37 (95 % CI 1.14-1.64) for inactivity only, and 2.04 (95 % CI 1.52-2.74) for both exposures; the opioid*PA multiplicative interaction on the odds scale was not significant (P = 0.141). RCS suggested a monotonic inverse association of PA with sleep-disorder odds, with risk reductions most apparent up to around 260-300 min/week; formal tests of nonlinearity were largely non-significant. In extended adjustment including PHQ-9 depression and sedative/hypnotic use, estimates were attenuated but remained directionally consistent.
Conclusions:
Prescription opioid use and PA are independently associated with higher odds of self-reported clinician-diagnosed sleep disorders. Encouraging achievable amounts of transportation- and leisure-time PA may benefit sleep health, including among adults using prescription opioids. Results were directionally consistent when short sleep (<7 h/night) was used as a current sleep indicator. Longitudinal studies are needed to clarify temporality and dose-duration effects.
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