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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: Sleep Med. 2015 Jun 23;18:36–49. doi: 10.1016/j.sleep.2015.06.004

Table 1.

Sleep and Cardiovascular Risk Factors organized by Category of Risk

First Author Sample Study
Design
Sleep Measures CV Risk Factors Covariates Results
Metabolic Syndrome and Multiple Risk Factors
IglayReger23 37 obese U.S.
adolescents, 54.1%
female, ages 11–17;
M =14.0 ± 0 yrs
cross-
sectional
≥ 5 nights
actigraphy-
assessed sleep
duration
MetS composite
risk score
BMI, physical
activity duration
and intensity
↓sleep duration
↑ MetS composite risk score
Lee 26 1187 Korean
adolescents, 46.9%
female, ages 12–18;
M =15.0 ± .1 yrs
cross-
sectional
self-reported
sleep duration
MetS and MetS
components
age, sex,
household
income, caloric
intake, physical
activity
↓sleep duration
↑BP, ↑BMI, ↑waist circumference
↓ triglycerides
NS glucose, HDL-C, MetS
Azadbakht24 5528 Iranian
children ages 10–18;
M =14.7 yrs
cross-
sectional
parental report
of sleep duration
BP, lipids, glucose,
BMI %, physical
activity
SES, family
history, physical
activity, BMI, age
all NS for multivariate analyses
Berentzen36 1481 Dutch children
ages 11–12;
M =12.7 ± .4 yrs
cross-
sectional
self-report time
in bed on school
day, sleep
pattern,
nighttime
awakenings,
trouble falling
asleep, daytime
sleepiness
cholesterol, HbA1c,
BP
age, height,
maternal
education,
puberty, screen
time
↓ time in bed
↑ BMI, waist circumference
↑daytime sleepiness
↓HDL-C, ↑TC/HDL-C in girls only.
NS boys
no effects for BP, HbA1c
Rey-Lopez37 699 European
adolescents, 51.6%
female, ages 12.5-
17.5; M =14.8 yrs
cross-
sectional
self-reported
sleep duration
HOMA-IR,
triglycerides, TC,
HDL-C, systolic BP
age, sex, SES,
physical activity
all NS
Countryman27 367 U.S. adolescents
27% female, 45.8%
Hispanic, 30.8%
Black, ages 15–17;
M =16.1 ± .7 yrs
cross-
sectional
latent sleep
factor
(composed of
self-reported
sleep duration
over past 7 days,
fatigue, & sleep
quality)
latent MetS factor
(composed of
obesity, insulin
resistance, lipids,
and BP)
gender, parent
education
In structural equation model, sleep was
indirectly associated with increased risk of
MetS via decreased aerobic fitness
Narang39 4104 Canadian
adolescents;51%
male, M =14.6 ± .5
yrs
cross-
sectional
self-reported
sleep quality
self-reported
sleep duration
TC, HDL-C, non-
HDL-C,
prehypertension
(≥90 - <95th %
based on age, sex,
height) or
hypertension (≥99th
%)
sex, family
history of CVD,
adiposity,
nutrition, physical
activity, screen
time
↓sleep quality
↑ non-HDL-C
↑ hypertension
NS TC
NS HDL-C
↓self-report duration
all NS
Kong25 2053 Hong Kong
children ages 6–18
years, M = 13.3 yrs
cross-
sectional
self-reported
sleep duration in
full sample,
actigraphy for
24 hrs in 138
children selected
on obesity
lipids, metabolic
syndrome
age, gender, BMI,
pubertal stage
↓ self-reported duration
↑ TC and LDL-C in multivariate analyses in
secondary students, NS for primary
students; no report for actigraphy sleep, BP,
glucose
Sung38 133 obese U.S.
adolescents in
tertiary care weight
management clinic,
66% female; ages
10–16 yrs. M=13.2 ±
1.8 yrs
cross-
sectional
self-reported
sleep duration,
parent-reported
sleep duration, 7
nights
actigraphy-
assessed sleep
duration
MetS, MetS
components (waist
circumference,
triglycerides, BP,
HDL-c, glucose),
HOMA-IR
age, gender, race,
SES, BMI,
obstructive apnea
↓self-report duration
↓ triglycerides
NS for all others
↓parent-report duration
↓ HDL cholesterol
NS for all others
↓actigraphy duration
↓ triglycerides
NS for all others
Hitze35 414 German children
ages 6–20; M =13.0
± 3.4 yrs
cross-
sectional
self-report after
11, parent report
before 11,
cutoffs based on
age
manual BP, lipids,
glucose, leptin,
adiponectin,
HOMA-IR
age ↓sleep duration
↑insulin, HOMA-IR, leptin in girls.
NS after adjustment for waist
circumference; NS in boys
Gangwisch40 14257 U.S.
adolescents in ADD
Health, 51% female,
grades 7–12 at
baseline
longitud-
inal
self-report sleep
duration at 2
times averaged
self-report of doctor
diagnosing high
cholesterol 6–7
years later
physical activity,
emotional
distress, BMI
groups, age, sex,
race, alcohol and
smoking
↓sleep duration
↑cholesterol in females; NS in males. Test
for sex interaction NS
Glucose and Insulin Metabolism Studies
Androutsos29 2026 Greek
children, 50.1%
female, ages 9–13
cross-
sectional
parental report
of sleep duration
HOMA-IR gender, Tanner
stage, waist
circumference,
parent BMI, SES,
birth weight
children with an unhealthy “lifestyle
pattern,” consisting of ↓ sleep duration, ↑
screen time, and ↑sugary drink
consumption, had ↑HOMA-IR
Zhu34 118 healthy
Chinese children
and adolescents;
55.1% female,
moderate-to-severe
OSA excluded
M=13.1 ± 3.3 yrs
cross-
sectional
1 night PSG
-TST
-sleep
efficiency
2-hr oral glucose
tolerance test,
insulin sensitivity
(Matsuda index)
age, gender, BMI,
pubertal status, AHI
↓TST
↑ glucose levels
↓ insulin sensitivity
↓sleep efficiency
↑ glucose levels
↓ insulin sensitivity
↓% stage 3
↑glucose
↓insulin sensitivity
Matthews 32 245 healthy U.S.
adolescents, 56%
African American,
53% female; ages
14–19
M = 15.7±1.3 yrs
cross-
sectional
diary &
actigraphy sleep
duration for 1
week,
fragmentation
HOMA-IR, glucose age, race, gender,
BMI, waist
circumference
↓ nocturnal sleep
↑HOMA-IR stronger in males, effect due
to weekday sleep
↑fragmentation
↑glucose
Javaheri 30 471 U.S.
adolescents in
Cleveland
Children’s Sleep
and Health study;
50.7% female,
42.7% minority
race; ages 13–19
M =15.7 ± 2.2 yrs
cross-
sectional
actigraphy-
assessed sleep
duration
HOMA-IR Model 2: age, sex,
race, physical
activity, preterm
history
Model 3: above +
waist circumference
Model 2: curvilinear association of sleep
duration with ↑HOMA-IR
Model 3: only long sleep duration related
to ↑HOMA-IR
Koren 31 62 obese U.S.
adolescents, 54.8%
African American,
37.1% White, 55%
female; ages 8–17.5
M = 14.4 ± 2.1 yrs
cross-
sectional
in clinic PSG
TST, sleep
stages
HOMA-IR, OGTT,
IGI, WBISI
extent of obesity,
OSA
curvilinear association of TST with
↑glucose and HbA1c; NS with HOMA-IR,
WBISI, IGI;
↑N3
↑IGI and AIRg (i.e., beta cell function)
Tian33 619 obese & 617
nonobese Chinese
children, matched
by age; ages 3–6
M = 5.3 ± .9 yrs
cross-
sectional
parent-reported
sleep duration
fasting glucose,
hyperglycemia
(fasting glucose ≥
100 mg/dL)
BMI, age, sex, birth
weight, gestational
age, systolic BP,
parents’ education
and BMI, breast-
feeding, timing of
food introduction,
disease in past
month, diet,
sweetened beverage
consumption, TV
viewing, physical
activity
↓ sleep duration
↑ glucose
↑ hyperglycemia in obese only
Glucose NS after adjusting for waist
circumference
Flint28 40 obese U.S.
children from
weight clinic (32
with SDB), ages
3.5–18.5
M =12.3 ± 4.2 yrs
cross-
sectional
in clinic PSG for
sleep duration,
efficiency, AHI,
% stages
OGTT insulin and
glucose, HOMA-IR,
WBISI
None <6 hr sleep
↑fasting and peak insulin, HOMA-IR,
WBISI, and ↓ % REM in univariate
analyses; did not report sleep efficiency
Blood Pressure Studies
Kuciene 44 6940 Lithuanian
children ages 12–15;
M =13.4 yrs
cross-
sectional
self-report TST SBP, DBP
(oscillometric)
≥90th, ≥95th %ile
based on age, sex,
height
BMI groups,
physical activity,
smoking, age, sex
Compared to ≥8hr, ↓ sleep
↑ risk for ≥90th, ≥95th % BP
Meininger45 366 U.S. adolescents
53.6% female, 37%
Black, 31%
Hispanic, 29%
White, ages 11–16
cross-
sectional
24-hr
actigraphy-
assessed sleep
(nighttime and
daytime sleep
duration)
24-hr ambulatory
SBP and DBP on a
school day
age, sex,
racial/ethnic
group, mother’s
education, BMI,
sexual
maturation,
physical activity,
position and
location during
BP reading
↓nighttime sleep duration
↑ ambulatory SBP
NS ambulatory DBP
↓daytime sleep duration
↑ ambulatory SBP
↑ ambulatory DBP
Paciência52 1771 Portuguese 13
year-olds, 53.5%
female
cross-
sectional
self-reported
sleep duration
prehypertension (BP
> 90th %ile for sex,
age, and height)
females: BMI,
caffeine intake,
depression
males: BMI,
caffeine intake,
sports
↑sleep duration
females: ↑ BP
males: NS
Archbold41 334 U.S. Hispanic &
white children, 6–11
years;
M =9.03 ± 1.63
longitud-
inal for 5
years
in-home PSG-
based SDB, TST
Obesity, BP ? sex, ethnicity,
age, change in
obesity
↑obesity and ↓TST related to ? SBP; NS
DBP
Mezick46 246 healthy U.S.
adolescents; 53.3%
female, 56.5%
Black; ages 14–19,
M =15.7 ± 1.3 yrs
cross-
sectional
7 nights
actigraphy-
assessed sleep
duration;
efficiency
24 hr ambulatory
BP, nighttime
ambulatory BP,
daytime ambulatory
BP
age, sex, race,
BMI
↓sleep duration
↑ 24-hr SBP
↑ 24-hr DBP
↑ nighttime SBP
↑ nighttime DBP
NS daytime SBP, DBP
efficiency not related to BP
Guo54 4902 Chinese
children, ages 5–18,
M = 10.9 ± 2.7 yrs
cross-
sectional
parental report
of TST
BP (mercury
column) ≥ 90% for
age, sex, height, or
≥ 120/80,
hypertensive ≥ 95%
age, BMI, waist
circumference,
physical activity
↓TST
↑ SBP, DBP levels among boys 11–14
↑ DBP among girls 11–14
↓ DBP among boys 5–10 years.
NS in other age groups
Bayer49 7701 German
children, 49%
female, ages 3–10
cross-
sectional
parental report
of sleep duration
standardized
within age group
MAP
(oscillometric)
BMI (age-, sex-
specific), parental
report of physical
activity
↓ sleep duration
↑MAP, NS in multivariate analysis
Javaheri 42 238 U.S. adolescents
without clinical
sleep apnea in
Cleveland
Children’s Sleep and
Health study; 48.3%
female, 45% White;
M = 13.7± .7 yrs
cross-
sectional
5–7 nights of
actigraphy
-sleep duration
-sleep efficiency
prehypertension
defined as BP ≥
90th percentile for
sex, age, and height,
continuous resting
SBP and DBP
age, BMI, socio-
economic status,
models
examining
continuous BP
outcomes also
adjusted for sex,
race, term status
↓sleep duration
prehypertension, SBP, DBP all NS
↓ sleep efficiency
↑ prehypertension
↑ SBP
↑DBP
associations replicated using PSG
Wells47 4452 Brazilian
adolescents, ages
10–12
cross-
sectional
self-report
bedtime & wake
up time during
week
oscillometric BP
≥120/80
physical activity,
BMI groups, sex,
SES, birth
weight, length,
maternal health
habits
↓ sleep duration
↑SBP
NS DBP
Sampei53 117 Japanese
children, ages 5–6
cross-
sectional
parental report
of sleep +
teacher report of
naps
mercury column BP age, sex, BMI,
school
↓TST
↓ SBP
Au43 143 normal weight
Chinese children and
adolescents, 42%
female, AHI ≥ 5
excluded, ages 10-
17.9; M = 14.3 ± 1.8
yrs
cross-
sectional
1-night PSG
-sleep time
-sleep
efficiency

7-day sleep
diary duration
24-hr ambulatory
BP
-prePSG BP
-in-bed BP
-postPSG BP
age, gender, BMI,
AHI, parental
hypertension
↓PSG sleep time
↑ postPSG SBP
NS other BP outcomes
↓PSG sleep efficiency
↑ in-bed SBP
↑ in-bed DBP
↑ postPSG DBP
NS other BP outcomes
↓sleep diary duration
↑ prePSG SBP
↑ prePSG
↑ in-bed SBP
↑ in-bed DBP
↑ postPSG SBP
NS postPSG DBP
Hannon48 49 obese,
nondiabetic U.S.
adolescents, 48.1%
female, 57.1%
White, 40.7% Black,
ages 12–18; M =
14.4 yrs
cross-
sectional
1-night PSG
-REM %
-SWS %
-TST
-sleep latency
-time to REM
resting oscillometric
BP assessed
morning after PSG.
age or pubertal
stage, sex, race,
BMI, AHI
↓REM %
↑ SBP
↑ DBP
↓SWS %
↑ SBP
↑ DBP
NS for other sleep parameters
Reactivity/HRV Studies
Mezick56 79 healthy normal
weight U.S. college
students, 100%
male, ages 18–29,
M = 19 ± 2.0 yrs
cross-
sectional
7 nights
actigraphy-
assessed sleep
duration
HR reactivity, BP
reactivity, HRV
reactivity, HR
recovery, BP
recovery, HRV
recovery
age, race, BMI,
daily caffeine,
daily nicotine,
stress task
appraisals, naps
↓ duration
NS HR reactivity
NS SBP reactivity
NS DBP reactivity
↑HRV-HF reactivity
↑ HR recovery
NS SBP recovery
↑ DBP recovery
NS HRV-HF recovery
Martikainen55 241–274 Finnish 8-
year-olds (number
varied by outcome)
cross-
sectional
sleep
disturbance,
Scales: 6
subscale scores
(yes/no at least 1
sleep problem 2-
3x per week)
Cardiovascular
reactivity,
Ambulatory BP 24
hours
sex, age, height,
BMI, start time,
education,
maternal licorice
pregnancy yes/no
excessive somnolence
↑HF-HRV at rest
SDB ↑ CO + HR reactivity
Williams57 98 U.S. college
students; 50%
female, 74% White,
7% Latino/a, M =
23 ± 5.8 yrs
cross-
sectional
prior month
sleep quality,
prior night sleep
quality & TST
HR reactivity, SBP
reactivity, DBP
reactivity
baseline CV
parameters
↓prior month quality
NS HR reactivity
NS SBP reactivity
↓ DBP reactivity
↓prior night quality
all NS
↓prior night TST
all NS (marginal effect on SBP reactivity)
Michels58 334 Belgian
children, 47%
female, ages 5–11,
actigraphy in
subsample of N =
165
cross-
sectional
and
longitudinal
parent-reported
sleep duration,
actigraphy-
assessed latency,
TST, efficiency
resting HRV, (HF-
HRV and HF/LF
ratio)
age, sex, physical
activity, parental
education, stress
↓parent-reported sleep duration
NS HF-HRV
NS LF/HF ratio
↑actigraphy latency
↓HF-HRV
↑LF/HF ratio
↓actigraphy efficiency
NS HF-HRV
↑ LF/HF ratio
↓actigraphy TST
NS HF-HRV
↑ LF/HF ratio
longitudinal results replicated cross-
sectional results
El-Sheikh59 224 U.S. children,
64% European
American, 36%
African American,
46% female, ages
8–10
cross-
sectional
7 nights
actigraphy- TST,
sleep activity,
wake after sleep
onset
resting RSA, vagal
withdrawal during
stress
age, sex, race,
BMI, asthma
↑ Wake after sleep onset
↑ vagal withdrawal during stress
all other main effects NS
↓ resting RSA and ↑ vagal withdrawal
during stress interacted to predict ↑ wake
after sleep onset, ↑ sleep activity
TST NS
Elmore-
Staton60
29 U.S.
preschoolers; 31%
female, 64%
European
American, ages 3–5,
M=3.99 ± .69 yrs
cross-
sectional
actigraphy-
assessed TST,
efficiency, sleep
activity
resting RSA age, sex, ethnicity ↓ sleep efficiency & ↑ sleep activity ↓ RSA
trend for ↓ TST, ↓ RSA
Martikainen50 231–265 Finnish 8
year olds (number
varied by outcome)
cross-
sectional
actigraphy- TST,
efficiency,
fragmentation
CV reactivity,
ambulatory BP
sex, age, height,
BMI, maternal
licorice during
pregnancy,
parental
education
all NS
Shaikh51 489 Gujarti Indian
adolescents; 42%
female, ages 16–19
cross-
sectional
self-reported
sleep duration
(≥ 7 vs. < 7 hrs)
resting BP, DBP
reactivity
none reported those sleeping <7 hrs had higher DBP
reactivity vs. those sleeping ≥ 7 hrs; resting
SBP and DBP were NS
El-Sheikh61 41 U.S. children,
44% female, ages
6–12; M = 10.06 ±
1.74 yrs
cross-
sectional
4 nights
actigraphy- TST,
sleep efficiency,
self-reported
sleep-wake
problems and
sleepiness
resting RSA, vagal
withdrawal during
stress
gender, age,
puberty status
↓TST
↓ vagal withdrawal during stress
↑ sleep-wake problems
↑ resting RSA, ↓ vagal withdrawal during
stress
sleep efficiency NS