Sleep, Sedentary Behavior, Physical Activity, and Cardiovascular Health: MESA

German, Charles; Makarem, Nour; Fanning, Jason; Redline, Susan; Elfassy, Tali; McClain, Amanda C.; Abdalla, Marwah; Aggarwal, Brooke; Allen, Norrina B; Carnethon, Mercedes R.

doi:10.1249/mss.0000000000002534

Cited by 31 publications

(45 citation statements)

References 35 publications

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“…There is potent evidence for sedentary behaviors [ 31 , 32 ], sleep [ 33 , 34 , 35 ], and MVPA [ 36 , 37 , 38 ], and emerging evidence for LPA to be associated with health outcomes [ 39 , 40 ]. Moreover, the allocation of whole 24 h time is associated with health outcomes across the lifespan [ 41 , 42 , 43 ]. Therefore, collecting data on all movement behaviors, including PA performed at all intensity categories, sedentary behaviors, and sleep over a full day (24 h) may provide researchers with the best method to observe any changes in the time accumulated in other behaviors, resulting from a single or combined behavioral intervention [ 44 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students

Wiltshire

Baker

et al. 2022

IJERPH

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The purpose of this study was to examine if low-volume, high-intensity interval exercise (HIIE) was associated with changes in 24-h movement behaviors. A quasi-experimental study design was used. We collected accelerometry data from 21 eligible participants who consistently wore an ActiGraph for a period of two-weeks. Differences in behaviors were analyzed using a paired t-test and repeated measures analysis of variance. Regression analysis was used to explore relationships with factors that impacted changes. The results indicated a compensatory increase in sedentary time (ST) (4.4 ± 6.0%, p < 0.01) and a decrease in light-intensity physical activity (LPA) (−7.3 ± 16.7%, p < 0.05). Meanwhile, moderate-intensity physical activity (MPA), vigorous-intensity physical activity (VPA), and total physical activity (TPA) increased following exercise (p < 0.001). Sleep duration and prolonged sedentary time were reduced (p < 0.05). Exercise intensity and aerobic capacity were associated with changes in ST. The results from the study indicate that participating in a low-volume HIIE encouraged participants who were previously inactive to become more active. The observations of increases in ST may have displaced a prolonged sitting time. The decrease in sleeping time observed may be reflecting an increased sleep quality in connection with increased higher-intensity PA.

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Section: Introductionmentioning

confidence: 99%

Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students

Wiltshire

Baker

et al. 2022

IJERPH

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“…[45][46][47] Similarly, an extension of sleep duration among short-duration sleepers might attenuate gains in body weight and fat mass over a 6-year follow-up, 48 and epidemiological evidence suggests that substituting 30 min of sedentary time for the equivalent time of sleep can promote weight loss. 49 In turn, other authors have failed to report a beneficial effect of sleep interventions on blood pressure or physical activity levels in individuals with sleep impairments despite improvements in sleep quality. 50,51 Further research is therefore needed to confirm the effectiveness of sleep interventions for enhancing cardiovascular health.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the use of continuous positive airway pressure for the treatment of OSA might improve glucose metabolism among diabetic or obese patients 45‐47 . Similarly, an extension of sleep duration among short‐duration sleepers might attenuate gains in body weight and fat mass over a 6‐year follow‐up, 48 and epidemiological evidence suggests that substituting 30 min of sedentary time for the equivalent time of sleep can promote weight loss 49 . In turn, other authors have failed to report a beneficial effect of sleep interventions on blood pressure or physical activity levels in individuals with sleep impairments despite improvements in sleep quality 50,51 .…”

Section: Discussionmentioning

confidence: 99%

Poor self‐reported sleep is associated with risk factors for cardiovascular disease: A cross‐sectional analysis in half a million adults

Santos‐Lozano

Torres–Barrán

Morales

et al. 2022

Eur J Clin Investigation

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Background Sleep is known to affect cardiovascular health, but some controversy exists on the independent association between different sleep characteristics (duration, restfulness, difficulties falling asleep) and specific risk factors for cardiovascular disease (CVD). We aimed to assess the association between self‐reported sleep characteristics and the likelihood of major CVD risk factors. Methods Totally, 521,364 Spanish workers (32% female, 44 ± 9 years [18–64]) insured by an occupational risk prevention company participated in this nationwide cross‐sectional study. Participants’ sleep was considered ‘poor’ if they reported having ≥1 of the following conditions: excessively short (<6 h/d) or long (>9 h/d) sleep, unrestful sleep, or difficulties to fall asleep. We assessed the independent association between aforementioned sleep characteristics and the prevalence of hypertension, diabetes, hypercholesterolaemia, obesity and physical inactivity. Results Poor sleep (reported by 33% of participants) was associated with a higher likelihood of presenting all CVD risk factors individually, particularly physical inactivity (which prevalence was ~3‐fold higher in the poor sleep group compared with participants reporting no sleep abnormality). In separate analyses, all the different sleep characteristics were associated with the likelihood of ≥2 CVD risk factors. Participants with optimal sleep, normal sleep duration, no difficulties falling sleep and restful sleep showed a lower total CVD risk score than their peers with poor sleep, short sleep duration, difficulties falling sleep and unrestful sleep, respectively (all p < .001). Conclusions Poor sleep was associated with a higher likelihood of presenting major CVD risk factors. These findings might support the importance of monitoring and improving sleep patterns for primary CVD prevention.

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“…Others studies using isotemporal substitution modeling have also supported the importance of physical activity-related behaviors for obesity and cardiovascular health. German and colleagues reported that replacing sedentary time with MVPA was associated with more desirable cardiometabolic risk profiles [37]. Additionally, Buman et al [38], reported a powerful influence of MVPA and sedentary time on disease risk biomarkers (including waist circumference as a measure of obesity).…”

Section: Health Pillars and Bmimentioning

confidence: 99%

The pillars of health: influence of multiple lifestyle behaviors on body mass index and depressive symptoms in adult twins

et al. 2022

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Background Guidelines promoting healthy lifestyles are cornerstones of chronic disease prevention and treatment. The purpose of this study is to investigate independent and joint associations of five key health behaviors with health outcomes (body mass index (BMI kg/m2) and depressive symptoms) in adult twins. Methods We included 6,048 twin pairs from a community-based registry. Five key health behaviors were: (1) ≥ 8 h of sleep per night, (2) ≥ 5 servings of fruits and vegetables daily, (3) ≤ 2 h sedentary time per day, (4) ≥ 150 min of moderate-to-vigorous physical activity (MVPA) per week, and (5) no smoking. We analyzed phenotypic associations between behaviors and outcomes; whether phenotypic associations were confounded by additive genetic and shared environmental factors within twin pairs (“quasi-causal” associations); and which behaviors, considered simultaneously, had the largest associations with outcomes. Results We found negative phenotypic associations between number of behaviors achieved with BMI and depressive symptoms score (ps < 0.05). Associations remained significant, though attenuated, when controlling for genetic and shared environmental factors, and demographics, for depressive symptoms score but not BMI (p < 0.05). Quantitative variable importance measures derived from regression tree models showed sedentary time and MVPA were the most important variables in partitioning twins with different BMI, and smoking and sedentary time for partitioning twins with different depressive symptoms score. Conclusions Achievement of commonly endorsed health behaviors is associated with lower BMI (especially sedentary and MVPA targets) and depressive symptoms score (especially sedentary and smoking targets). This provides further support of health behavior promotion to improve health outcomes.

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Sleep, Sedentary Behavior, Physical Activity, and Cardiovascular Health: MESA

Cited by 31 publications

References 35 publications

Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students

Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students

Poor self‐reported sleep is associated with risk factors for cardiovascular disease: A cross‐sectional analysis in half a million adults

The pillars of health: influence of multiple lifestyle behaviors on body mass index and depressive symptoms in adult twins

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