TY - JOUR
T1 - Sleep health dimensions are associated with next-day symptoms in young adults with type 1 diabetes
AU - Griggs, Stephanie
AU - Irani, Elliane
AU - Strohl, Kingman P.
AU - Al-Kindi, Sadeer
AU - Rajagopalan, Sanjay
AU - Crawford, Sybil L.
AU - Margevicius, Seunghee
AU - Hickman, Ronald L.
N1 - Publisher Copyright:
© 2022 National Sleep Foundation
PY - 2023/6
Y1 - 2023/6
N2 - Objective: We investigated intra-individual reciprocal associations between sleep health dimensions (individual and composite) and symptoms among young adults with type 1 diabetes (T1D). Design and measurements: Cross-lagged multilevel models were used to analyze electronic diary-reported sleep and symptom patterns over 7 days at waketime in 42 young adults with T1D. Sleep health dimensions included regularity, satisfaction, alertness, timing, efficiency (percentage of time spent asleep), and duration (total sleep time) and symptoms included mood, fatigue, and pain. Covariates included biological sex and age. Setting and participants: We recruited young adults (mean age 21.5 ± 2.1 years, HbA1c 6.8%, 85% female, 10% gender minority) with T1D for at least 6 months and no other major medical or psychiatric comorbidity from social media platforms, the College Diabetes Network, and ResearchMatch. Results: On days with a better sleep health composite, participants reported lower next-day symptoms (higher mood, lower fatigue, and lower pain) and on days when participants reported lower symptoms, participants reported better sleep health (as a composite). Several individual sleep health dimensions led to lower next-day symptoms (eg, higher satisfaction, alertness, and efficiency and higher mood); however, symptoms were no longer predictive of next-day sleep when controlling for prior day sleep. Conclusions: Optimal sleep health is an antecedent of fewer next day symptoms. Sleep health dimensions likely have positive additive effects on lower symptoms as some of the individual sleep health dimensions were not significantly associated with some symptoms among young adults with T1D.
AB - Objective: We investigated intra-individual reciprocal associations between sleep health dimensions (individual and composite) and symptoms among young adults with type 1 diabetes (T1D). Design and measurements: Cross-lagged multilevel models were used to analyze electronic diary-reported sleep and symptom patterns over 7 days at waketime in 42 young adults with T1D. Sleep health dimensions included regularity, satisfaction, alertness, timing, efficiency (percentage of time spent asleep), and duration (total sleep time) and symptoms included mood, fatigue, and pain. Covariates included biological sex and age. Setting and participants: We recruited young adults (mean age 21.5 ± 2.1 years, HbA1c 6.8%, 85% female, 10% gender minority) with T1D for at least 6 months and no other major medical or psychiatric comorbidity from social media platforms, the College Diabetes Network, and ResearchMatch. Results: On days with a better sleep health composite, participants reported lower next-day symptoms (higher mood, lower fatigue, and lower pain) and on days when participants reported lower symptoms, participants reported better sleep health (as a composite). Several individual sleep health dimensions led to lower next-day symptoms (eg, higher satisfaction, alertness, and efficiency and higher mood); however, symptoms were no longer predictive of next-day sleep when controlling for prior day sleep. Conclusions: Optimal sleep health is an antecedent of fewer next day symptoms. Sleep health dimensions likely have positive additive effects on lower symptoms as some of the individual sleep health dimensions were not significantly associated with some symptoms among young adults with T1D.
KW - Sleep health
KW - Symptoms
KW - Type 1 diabetes
KW - Young adults
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U2 - 10.1016/j.sleh.2022.11.002
DO - 10.1016/j.sleh.2022.11.002
M3 - Article
C2 - 36567195
AN - SCOPUS:85147120478
SN - 2352-7218
VL - 9
SP - 339
EP - 345
JO - Sleep Health
JF - Sleep Health
IS - 3
ER -