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0292 Poorer Actigraphic Sleep Health in Adolescence Predicts Lower Cardiovascular Health Score in Young Adulthood
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Abstract
Introduction
Short sleep duration among middle-aged and older adults predicts worse cardiovascular health (CVH) later in life. It is unclear whether adolescent sleep health predicts young adult CVH, particularly using objective sleep measures. We examined whether several dimensions of actigraphic adolescent sleep health predicted young adult CVH among a diverse, longitudinal sample from 20 U.S. cities.
Methods
Data were derived from sub-studies of the Future of Families and Child Wellbeing Study (FFCWS; n=307; 57%F), a diverse birth cohort. At age 15y, adolescents wore wrist-actigraphy for ~1 week (6.8±1.9 nights). At age 22y, CVH was assessed from the FFCWS Cardiovascular Health Among Young Adults sub-study using the seven non-sleep factors from the American Heart Association’s Life’s Essential 8—diet, physical activity, nicotine exposure, body mass index (BMI), blood lipids, blood glucose, and blood pressure—that were averaged into a composite score (0, poor–100, ideal). Separate linear regression models assessed whether age 15 average actigraphic total sleep time (TST; linear and quadratic), sleep timing, sleep maintenance efficiency, and variability (SD) of these measures predicted age 22 CVH composite score, adjusting for age 22 sociodemographic characteristics and age 15 self-reported BMI, diet, and physical activity.
Results
Earlier age 15 average sleep onset (b=−1.11, p=.023, β=−.12) and offset (b=−1.08 p=.015, β=−.12) and higher sleep maintenance efficiency (b=+0.66, p=.008, β=+.14) predicted higher (i.e., better) age 22 CVH score. Lower variability in TST (b=−1.97, p=.042, β=−.11) and in sleep onset (b=−1.93, p=.035, β=−.11) predicted higher age 22 CVH score. Lower age 15 variability in sleep maintenance efficiency marginally predicted higher age 22 CVH score (b=−1.19, p=.057, β=−.10). Age 15 average TST (linear and quadratic) and variability in sleep offset did not significantly predict age 22 CVH score (p≥.10).
Conclusion
Adolescent TST did not significantly predict young adult CVH in the present study. Instead, earlier, more efficient, and less variable adolescent sleep predicted higher young adult CVH scores, even after adjusting for adolescent lifestyle factors and other confounders. Interventions aiming to protect future CVH should consider improving adolescent sleep health across multiple dimensions.
Support (if any)
R01HD073352 (LH), R01HL149169 (DAN, DLJ), R01HDO76592 (DAN), R01HD036916, R01HD039135, R01HD040421; DAR supported by T32HL166128
Oxford University Press (OUP)
Title: 0292 Poorer Actigraphic Sleep Health in Adolescence Predicts Lower Cardiovascular Health Score in Young Adulthood
Description:
Abstract
Introduction
Short sleep duration among middle-aged and older adults predicts worse cardiovascular health (CVH) later in life.
It is unclear whether adolescent sleep health predicts young adult CVH, particularly using objective sleep measures.
We examined whether several dimensions of actigraphic adolescent sleep health predicted young adult CVH among a diverse, longitudinal sample from 20 U.
S.
cities.
Methods
Data were derived from sub-studies of the Future of Families and Child Wellbeing Study (FFCWS; n=307; 57%F), a diverse birth cohort.
At age 15y, adolescents wore wrist-actigraphy for ~1 week (6.
8±1.
9 nights).
At age 22y, CVH was assessed from the FFCWS Cardiovascular Health Among Young Adults sub-study using the seven non-sleep factors from the American Heart Association’s Life’s Essential 8—diet, physical activity, nicotine exposure, body mass index (BMI), blood lipids, blood glucose, and blood pressure—that were averaged into a composite score (0, poor–100, ideal).
Separate linear regression models assessed whether age 15 average actigraphic total sleep time (TST; linear and quadratic), sleep timing, sleep maintenance efficiency, and variability (SD) of these measures predicted age 22 CVH composite score, adjusting for age 22 sociodemographic characteristics and age 15 self-reported BMI, diet, and physical activity.
Results
Earlier age 15 average sleep onset (b=−1.
11, p=.
023, β=−.
12) and offset (b=−1.
08 p=.
015, β=−.
12) and higher sleep maintenance efficiency (b=+0.
66, p=.
008, β=+.
14) predicted higher (i.
e.
, better) age 22 CVH score.
Lower variability in TST (b=−1.
97, p=.
042, β=−.
11) and in sleep onset (b=−1.
93, p=.
035, β=−.
11) predicted higher age 22 CVH score.
Lower age 15 variability in sleep maintenance efficiency marginally predicted higher age 22 CVH score (b=−1.
19, p=.
057, β=−.
10).
Age 15 average TST (linear and quadratic) and variability in sleep offset did not significantly predict age 22 CVH score (p≥.
10).
Conclusion
Adolescent TST did not significantly predict young adult CVH in the present study.
Instead, earlier, more efficient, and less variable adolescent sleep predicted higher young adult CVH scores, even after adjusting for adolescent lifestyle factors and other confounders.
Interventions aiming to protect future CVH should consider improving adolescent sleep health across multiple dimensions.
Support (if any)
R01HD073352 (LH), R01HL149169 (DAN, DLJ), R01HDO76592 (DAN), R01HD036916, R01HD039135, R01HD040421; DAR supported by T32HL166128.
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