0892 Dim Light Salivary Melatonin Onset in Autistic Children Using an In-Home Protocol

Abstract Introduction Sleep problems and irregular circadian rhythms are common in autistic youth, yet few studies have evaluated dim light melatonin onset (DLMO), the gold-standard measure of circadian phase, in this population. This study assessed the feasibility of an in-home DLMO protocol with autistic youth and examined associations between DLMO timing, sleep patterns, endogenous melatonin production, and child characteristics. Methods Twenty-eight autistic youth ages 8–17 years old completed an in-home DLMO protocol beginning at 4:30pm and ending at 10:00pm. Blackout curtains were installed to maintain ambient light < 50 lux across the protocol. Saliva samples were collected every 30 minutes and assayed via radioimmunoassay. Participants wore a Fitbit continuously for one week, and caregivers completed validated questionnaires on sleep and behavior. Results Of the 28 participants, DLMO could be calculated for 12; 5 participants showed chronically low melatonin levels (< 4 pg/mL at every sampling time), and 8 had consistently high melatonin levels (>4 pg/mL throughout). Three participants were unable to produce sufficient saliva for assay. For the 12 participants with a calculable DLMO, the mean DLMO was 6:35pm (SD=78 minutes). Later DLMO was associated with older age (r=0.83, p< 0.001), lower caregiver-reported sleep anxiety (r=–0.67, p=0.018), later caregiver-reported sleep midpoint on non-school days (r=0.77, p=0.003), later Fitbit-derived sleep midpoint (r=0.66, p=0.026), and greater intraindividual variability in Fitbit-derived sleep midpoint (r=0.69, p=0.020). Differences emerged between endogenous melatonin production groups. Compared to children with normal or high melatonin levels, those with low melatonin at each sampling point demonstrated lower intellectual functioning (F=7.05, p=0.01), more caregiver-reported nighttime awakenings (F=5.68, p=0.03), and more sedentary behavior based on Fitbit data (F=4.16, p=0.05). Conclusion In-home DLMO assessment appears feasible for many autistic children, though substantial variability in endogenous melatonin production may limit the ability to derive circadian phase for a large subset of participants. Consistent with non-autistic youth, later circadian phase correlated with older age and later sleep timing. Differences observed in children with chronically low melatonin levels highlight a potentially meaningful subgroup, but replication is needed. Overall, these findings support continued evaluation of circadian phenotyping as a possible tool for tailoring sleep interventions in autism. Support (if any) R00HD102586)

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Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0891
Primary Topic
Sleep and related disorders
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article
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article

0892 Dim Light Salivary Melatonin Onset in Autistic Children Using an In-Home Protocol

Yasmin Andalib, Briana Taylor, Susan Santangelo, Althea Kastelic et al.
SLEEP
Sleep and related disorders
article

0892 Dim Light Salivary Melatonin Onset in Autistic Children Using an In-Home Protocol

Yasmin Andalib, Briana Taylor, Susan Santangelo, Althea Kastelic, Erin Riddell, Kahsi Pedersen
article en

Abstract

Abstract Introduction Sleep problems and irregular circadian rhythms are common in autistic youth, yet few studies have evaluated dim light melatonin onset (DLMO), the gold-standard measure of circadian phase, in this population. This study assessed the feasibility of an in-home DLMO protocol with autistic youth and examined associations between DLMO timing, sleep patterns, endogenous melatonin production, and child characteristics. Methods Twenty-eight autistic youth ages 8–17 years old completed an in-home DLMO protocol beginning at 4:30pm and ending at 10:00pm. Blackout curtains were installed to maintain ambient light < 50 lux across the protocol. Saliva samples were collected every 30 minutes and assayed via radioimmunoassay. Participants wore a Fitbit continuously for one week, and caregivers completed validated questionnaires on sleep and behavior. Results Of the 28 participants, DLMO could be calculated for 12; 5 participants showed chronically low melatonin levels (< 4 pg/mL at every sampling time), and 8 had consistently high melatonin levels (>4 pg/mL throughout). Three participants were unable to produce sufficient saliva for assay. For the 12 participants with a calculable DLMO, the mean DLMO was 6:35pm (SD=78 minutes). Later DLMO was associated with older age (r=0.83, p< 0.001), lower caregiver-reported sleep anxiety (r=–0.67, p=0.018), later caregiver-reported sleep midpoint on non-school days (r=0.77, p=0.003), later Fitbit-derived sleep midpoint (r=0.66, p=0.026), and greater intraindividual variability in Fitbit-derived sleep midpoint (r=0.69, p=0.020). Differences emerged between endogenous melatonin production groups. Compared to children with normal or high melatonin levels, those with low melatonin at each sampling point demonstrated lower intellectual functioning (F=7.05, p=0.01), more caregiver-reported nighttime awakenings (F=5.68, p=0.03), and more sedentary behavior based on Fitbit data (F=4.16, p=0.05). Conclusion In-home DLMO assessment appears feasible for many autistic children, though substantial variability in endogenous melatonin production may limit the ability to derive circadian phase for a large subset of participants. Consistent with non-autistic youth, later circadian phase correlated with older age and later sleep timing. Differences observed in children with chronically low melatonin levels highlight a potentially meaningful subgroup, but replication is needed. Overall, these findings support continued evaluation of circadian phenotyping as a possible tool for tailoring sleep interventions in autism. Support (if any) R00HD102586)

SLEEPVol. 49(Supplement_1)
MaineHealth (US), Universidad del Noreste (MX)
Openalex Percentile: Top 6%
Sleep and related disorders
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