Objective Sleep Structure and Cardiovascular Risk Factors in the General Population: The HypnoLaus Study

Haba‐Rubio, José; Marques‐Vidal, Pedro; Andries, Daniela; Tobback, Nadia; Preisig, Martin; Vollenweider, Péter; Waeber, Gérard; Luca, Gianina; Tafti, Mehdi; Heinzer, Raphaël

doi:10.5665/sleep.4496

Cited by 43 publications

(27 citation statements)

References 42 publications

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“…Three of the studies show a negative linear relationship [50,54,56], one shows a U-shaped relationship (however, non-significant after adjusting also for sleep fragmentation) [55], and four studies show no association [31,[51][52][53] between sleep duration and measures of obesity (Table 1). Table 2 shows an overview of the prospective studies on sleep duration and obesity.…”

Section: Relationship Between Sleep Duration and Obesitymentioning

confidence: 99%

“…Nonetheless, eight of the cross-sectional studies of sleep duration have objectively measured sleep [31,[50][51][52][53][54][55][56] using either actigraphy [50,52,53,55,56] or one night polysomnography (PSG) [31,51,54]. Three of the studies show a negative linear relationship [50,54,56], one shows a U-shaped relationship (however, non-significant after adjusting also for sleep fragmentation) [55], and four studies show no association [31,[51][52][53] between sleep duration and measures of obesity (Table 1).…”

Section: Relationship Between Sleep Duration and Obesitymentioning

confidence: 99%

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Sleep Duration and Obesity in Adults: What Are the Connections?

Theorell‐Haglöw

Lindberg

2016

Curr Obes Rep

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Collectively, cross-sectional and longitudinal studies on self-reported sleep duration and obesity do not show a clear pattern of association with some showing a negative linear relationship, some showing a U-shaped relationship, and some showing no relationship. Associations between sleep duration and obesity seem stronger in younger adults. Cross-sectional studies using objectively measured sleep duration (actigraphy or polysomnography (PSG)) also show this mixed pattern whereas all longitudinal studies to date using actigraphy or PSG have failed to show a relationship with obesity/weight gain. It is still too early and a too easy solution to suggest that changing the sleep duration will cure the obesity epidemic. Given novel results on emotional stress and poor sleep as mediating factors in the relationship between sleep duration and obesity, detection and management of these should become the target of future clinical efforts as well as future research.

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Section: Relationship Between Sleep Duration and Obesitymentioning

confidence: 99%

Section: Relationship Between Sleep Duration and Obesitymentioning

confidence: 99%

Sleep Duration and Obesity in Adults: What Are the Connections?

Theorell‐Haglöw

Lindberg

2016

Curr Obes Rep

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“…In general, actual sleep time is about 85% of the time in bed 23 and such information is more appropriate to make public health recommendations. Physical activity was assessed with the International Physical Activity Questionnaire 24 and grouped based on the metabolic equivalent of task (MET) into low (<600 MET Â minutes per week), moderate (600-3000 MET Â minutes per week), and high (>3000 MET Â minutes per week) activity.…”

Section: Study Design and Participantsmentioning

confidence: 99%

Association of estimated sleep duration and naps with mortality and cardiovascular events: a study of 116 632 people from 21 countries

Wang

Bangdiwala

Rangarajan

et al. 2018

European Heart Journal

245

142

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“…Obesity was defined by BMI ≥ 25.0 kg/m 2 according to the Asian criterion of obesity [ 13 ]. The indices of insulin resistance were as follows: Matsuda insulin sensitivity index (ISI) = 10000/(Glu 0 × Ins 0 × Glu 120 × Ins 120 ) 0.5 and homeostatic model assessment of insulin resistance (HOMA-IR) = Glu 0 × Ins 0 /405 [ 14 ], where Glu x and Ins y represented values at time x or y (min) during the OGTT.…”

Section: Methodsmentioning

confidence: 99%

Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity

Wakabayashi

Oka

Nakaya

et al. 2018

Journal of Diabetes Research

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Objective Individuals with multiple metabolic risk factors often experience concomitant sleep-disordered breathing (SDB). We aimed to determine the associations of SDB with individual components of metabolic syndrome independent of obesity. Methods A cross-sectional study was conducted in 1137 employees aged 30–64 years. Apnea-hypopnea index (AHI) was assessed using a portable monitor for obstructive sleep apnea by admission. Of these, 451 participants took an oral glucose tolerance test to assess homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index (ISI). Results The odds ratio (OR) of the highest category of the AHI (≥15 episodes per hour) compared to the lowest one (<5 episodes per hour) was significantly elevated for hypertension, for hypertriglyceridemia, and for low HDL-cholesterolemia when adjusted for age, sex, and alcohol and smoking status (p < 0.05). After further adjustment for body mass index (BMI) or waist circumference, the associations for hypertension still remained statistically significant (p < 0.05) while those for hypertriglyceridemia and low HDL-cholesterolemia were no longer significant. The association between higher insulin resistance as assessed by HOMA-IR and Matsuda ISI and higher categories of the AHI was also lost after adjustment for BMI. Conclusion Obesity was a strong confounding factor in the association between SDB and most metabolic risk factors including insulin resistance, except for hypertension. Further longitudinal study is needed to examine the temporal or causal relationships between SDB and metabolic risk factors. This trial is registered with UMIN-CTR UMIN000028067.

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Objective Sleep Structure and Cardiovascular Risk Factors in the General Population: The HypnoLaus Study

Cited by 43 publications

References 42 publications

Sleep Duration and Obesity in Adults: What Are the Connections?

Sleep Duration and Obesity in Adults: What Are the Connections?

Association of estimated sleep duration and naps with mortality and cardiovascular events: a study of 116 632 people from 21 countries

Associations between Sleep-Disordered Breathing and Metabolic Risk Factors beyond Obesity

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