Dataset Information

Associations Between the Prevalence of Metabolic Syndrome and Sleep Parameters Vary by Age.

ABSTRACT:

Objective

To examine whether the relationship between the metabolic syndrome (MetS) and various sleep parameters [sleep duration, symptoms of sleep-disordered breathing (SDB), and sleep disturbances] varies by age.

Methods

Waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting glucose were used to determine MetS status in a cohort (N?=?19,691) of middle-aged (aged 45-64?years) and older (aged ?65?years) subjects. Habitual sleep duration (short, ?6?h/day; normal, 7-8?h/day; and long ?9?h/day), sleep disturbances (such as problems with falling and staying asleep), and symptoms of sleep-disordered breathing (SDB, such as snoring and sleep apneas) were measured by questionnaires.

Results

Among the participants, 4,941 subjects (25.1%) fulfilled the criteria for MetS. In the entire sample, both short and long sleep durations were associated with higher prevalence of MetS as compared to normal sleep duration. When stratified by age, a similar pattern was observed for middle-aged subjects (<65?years old; prevalence ratio (PR) [95% CI], 1.13 [1.06-1.22] for short sleep and 1.26 [1.06-1.50] for long sleep duration). In contrast, in older individuals (?65?years old), only long sleep duration was linked to a higher prevalence of MetS (1.26 [1.12-1.42]; P?P?P?>?0.05 for sleep disturbance?×?age).

Conclusion

Our results suggest that age may modify the associations between some sleep parameters and the prevalence of MetS.

SUBMITTER: Titova OE

PROVIDER: S-EPMC5958301 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations Between the Prevalence of Metabolic Syndrome and Sleep Parameters Vary by Age.

Titova Olga E OE Lindberg Eva E Elmståhl Sölve S Lind Lars L Schiöth Helgi B HB Benedict Christian C

Frontiers in endocrinology 20180511

<h4>Objective</h4>To examine whether the relationship between the metabolic syndrome (MetS) and various sleep parameters [sleep duration, symptoms of sleep-disordered breathing (SDB), and sleep disturbances] varies by age.<h4>Methods</h4>Waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting glucose were used to determine MetS status in a cohort (<i>N</i> = 19,691) of middle-aged (aged 45-64 years) and older (aged ≥65 years) subjects. Habitual sleep ...[more]

PMID: 29867766

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Project description:(1) Background: Bone plays an important role in the regulation of the systemic glucose and energy metabolism. Sclerostin, secreted by osteocytes, is an inhibitor of the Wnt/β-catenin bone metabolic pathway, and is involved in osteoporosis and metabolic disease. The aim of this study was to investigate the relationship between sclerostin and anthropometric and metabolic parameters in children and adolescents with obesity or who are overweight. (2) Methods: This study included 63 children and adolescents (20 obese, 11 overweight and 32 healthy control subjects). We evaluated the correlation between serum sclerostin and anthropometric parameters, metabolic parameters related to glucose (homeostasis model assessment of insulin resistance [HOMA-IR]), lipid, and bone metabolism (osteocalcin and 25-hydroxy vitamin D). (3) Results: Sclerostin and osteocalcin levels did not differ between obese and control groups. Sclerostin level was higher in boys than in girls (median 20.7 vs. 18.9 pmol/L, respectively; p = 0.04). In all subjects, sclerostin levels were negatively correlated with fasting insulin (r = -0.26; p = 0.04) and HOMA-IR (r = -0.28; p = 0.03), and positively correlated with serum concentrations of triglycerides (r = 0.29; p = 0.04), alkaline phosphatase (r = 0.41; p = 0.002), and osteocalcin (r = 0.33; p = 0.008). In obese patients, sclerostin levels were correlated negatively with fasting glucose (r = -0.49; p = 0.03) and HOMA-IR (r = -0.48; p = 0.03) and positively correlated with triglyceride levels (r = 0.53; p = 0.02). In the healthy control, sclerostin levels were correlated negatively with fasting insulin levels (r = -0.61; p < 0.001) and HOMA-IR (r = -0.36; p = 0.04). After adjusting for age, sex, and height SDS, a negative correlation between sclerostin and HOMA-IR was found (r = -0.39; p = 0.003) in all of the subjects. This association was more evident in obese patients (r = -0.60; p = 0.01) than in healthy controls (r = -0.39; p = 0.047). (4) Conclusions: Among children and adolescents with obesity, serum sclerostin was negatively correlated with HOMA-IR. Further studies are needed to clarify the mechanisms involved to understand how sclerostin affects the glucose metabolism.

Dataset Information

Associations Between the Prevalence of Metabolic Syndrome and Sleep Parameters Vary by Age.

Objective

Methods

Results

Conclusion

Publications

Associations Between the Prevalence of Metabolic Syndrome and Sleep Parameters Vary by Age.

Similar Datasets

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