Multidimensional Sleep Health Is Associated with Cardiovascular Disease Prevalence and Cardiometabolic Health in US Adults.
Nour MakaremCarmela AlcantaraSydney MusickOdayme QuesadaDorothy D SearsZiyu ChenParisa TehranifarPublished in: International journal of environmental research and public health (2022)
Individual sleep dimensions have been linked to cardiovascular disease (CVD) risk and cardiometabolic health (CMH), but sleep health is multifaceted. We investigated associations of a multidimensional sleep health (MDSH) score, enabling the assessment of sleep health gradients, with CVD and CMH. Participants were 4555 adults aged ≥20 years from the 2017-2018 National Health and Nutrition Examination Survey. A MDSH score, capturing poor, moderate, and ideal sleep was computed from self-reported sleep duration, sleep regularity, difficulty falling asleep, symptoms of sleep disorders, and daytime sleepiness. Survey-weighted multivariable linear and logistic models examined associations of MDSH with CVD and CMH. Ideal and moderate vs. poor MDSH were related to lower odds of hypertension (62% and 41%), obesity (73% and 56%), and central adiposity (68% and 55%), respectively; a statistically significant linear trend was observed across gradients of MDSH ( p -trend < 0.001). Ideal vs. moderate/poor MDSH was associated with 32% and 40% lower odds of prevalent CVD and type 2 diabetes, respectively. More favorable MDSH was associated with lower blood pressure, BMI, waist circumference, and fasting glucose. In sex-stratified analyses, ideal vs. moderate/poor MDSH was associated with lower CVD odds and blood pressure in women only. The MDSH framework may be more than just the sum of its parts and could better capture information regarding CVD risk.
Keyphrases
- sleep quality
- blood pressure
- healthcare
- public health
- cardiovascular disease
- type diabetes
- physical activity
- mental health
- health information
- body mass index
- insulin resistance
- high intensity
- health promotion
- obstructive sleep apnea
- metabolic syndrome
- adipose tissue
- cross sectional
- coronary artery disease
- weight gain
- human health
- computed tomography
- weight loss
- polycystic ovary syndrome
- blood glucose
- social media
- hypertensive patients
- high resolution
- body weight
- network analysis
- breast cancer risk