Does abdominal obesity have a similar impact on cardiovascular disease and diabetes? A study of 91 246 ambulant patients in 27 European Countries

Fox, Keith A.A.; Després, Jean‐Pierre; Richard, A; Brette, Sandrine; Deanfield, John

doi:10.1093/eurheartj/ehp371

Cited by 52 publications

(42 citation statements)

References 27 publications

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“…These anthropometric and body composition changes are risk factors for changes in glycaemic metabolism30 and may mediate the relationship between shift work and diabetes mellitus type 2 because greater incidences of this disease are found in these workers than in those who do not work in shifts 31 32…”

Section: Introductionmentioning

confidence: 99%

Lifetime shift work exposure: association with anthropometry, body composition, blood pressure, glucose and heart rate variability

et al. 2014

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Section: Introductionmentioning

confidence: 99%

Lifetime shift work exposure: association with anthropometry, body composition, blood pressure, glucose and heart rate variability

et al. 2014

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“…Therefore, regional fat distribution is better than the total fat in the prediction of cardiovascular disease and metabolic disease. As we know, the accumulation of abdominal fat also called central obesity is strongly associated with metabolic syndrome, T2DM, and cardiovascular disease [2-4]. Excess abdominal visceral adiposity is the key correlate of metabolic syndrome and upper body fat distribution is commonly associated with increased visceral fat and an abnormal metabolic profile [5-8].…”

Section: Introductionmentioning

confidence: 99%

Head fat is a novel method of measuring metabolic disorder in Chinese obese patients

et al. 2014

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BackgroundBody adiposity, especially ectopic fat accumulation, has a range of metabolic and cardiovascular effects. The aim of this study was to investigate the association between head fat and metabolic values in Chinese obese patients.MethodsData of this cross-sectional study from 66 obese patients were collected. Fat distribution was measured by dual-energy X-ray absorptiometry, and data of body weight, body mass index (BMI), neck circumference (NC), waist circumference (WC), hip circumference (HC), visceral index, basal metabolism (BM), glucose metabolism, lipid levels, uric acid (UA) had been collected.Results1) Head fat was significantly associated with BMI, WC, HC, visceral index, BM, total fat and total fat excluding head fat in both males and females (p < 0.05). Head fat was positively correlated with upper limb fat, trunk fat, weight, fasting plasma C peptide, fasting plasma insulin and UA in women(p < 0.05), and the association was not statistically significant in male (p > 0.05). Head fat was positively corrected with NC in males (p < 0.05) but not females (p > 0.05). There was no significant correlation between head fat and fasting plasma glucose, total choleslerolemia, triglyceridemia, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and free fat acid in either gender (p > 0.05). 2) Receiver operating characteristic analysis showed that a head fat of 1925.6 g and a head fat of 1567.85 g were the best cut-off values to determine subjects with low high-density lipoprotein cholesterol and hyperuricemia respectively.ConclusionsHead fat accumulation was closely associated with increased body fat, hyperinsulinemia, hyperuricemia, and impared lipid profile, suggesting it might be used as an indicator for dyslipidemia and hyperuricemia.

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“…Among all studies included in this review, only two assessed the relationship between shiftwork and change in waist circumference or waist-to-hip ratio. The abdominal concentration of body fat is an important predictor of several health problems, especially cardiovascular diseases and diabetes (Fox et al, 2009). The objective of our study was to explore the association between fixed shiftwork (daytime or nighttime) and overweight and abdominal obesity after controlling for all potential confounders.…”

Section: Introductionmentioning

confidence: 99%

Impact of Nightshift Work on Overweight and Abdominal Obesity Among Workers of a Poultry Processing Plant in Southern Brazil

Macagnan

Pattussi

Canuto

et al. 2012

Chronobiology International

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The authors examined the associations of shiftwork with overweight and abdominal obesity through a cross-sectional study of 1206 employees 18 to 50 yrs of age who were working on a production line in a poultry processing plant. Night-shift workers (n = 800) were considered exposed, whereas day shiftworkers (n = 406) were considered nonexposed. Overweight was defined as a body mass index ≥ 25 kg/m(2) and abdominal obesity as a waist circumference ≥ 88 cm in women and ≥ 102 cm in men. The mean age of the workers was 30.5 yrs (standard deviation = 8.7 yrs), and 65.2% were women. Nightshift workers compared to dayshift workers showed higher prevalences of overweight (42.2% vs. 34.3%; p= .020) and abdominal obesity (24.9% vs. 19.5%; p = .037). After adjusting for sociodemographics, parental overweight status, behavioral characteristics, and sleep characteristics, including hours of sleep, the prevalence ratios for overweight and abdominal obesity were 1.27 (95% confidence interval [ CI]: 1.00-1.61) and 1.45 (95% CI: 1.10-1.92), respectively, for the nightshift workers compared to the dayshift workers. A consistent finding in our study was the independent contribution of night shiftwork to overweight and abdominal obesity among Brazilian workers. Further studies are needed to understand the biological mechanisms involved and the complex behavioral and social adaptations experienced by night-shift workers.

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Does abdominal obesity have a similar impact on cardiovascular disease and diabetes? A study of 91 246 ambulant patients in 27 European Countries

Abstract: Abdominal obesity impacted similarly on the frequency of diabetes across Europe, despite regional differences in cardiovascular risk factors and CVD rates. Increasing abdominal obesity may offset future declines in CVD, even where CVD rates are lower.

Cited by 52 publications

References 27 publications

Lifetime shift work exposure: association with anthropometry, body composition, blood pressure, glucose and heart rate variability

Lifetime shift work exposure: association with anthropometry, body composition, blood pressure, glucose and heart rate variability

Head fat is a novel method of measuring metabolic disorder in Chinese obese patients

Impact of Nightshift Work on Overweight and Abdominal Obesity Among Workers of a Poultry Processing Plant in Southern Brazil

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