Obesity-related autonomic nervous system disorders are best associated with body fat mass index, a new indicator

Assoumou, Hourfil-Gabin Ntougou; Pichot, Vincent; Barthélemy, Jean; Dauphinot, Virginie; Celle, Sébastien; Collet, Philippe; Gaspoz, Jean‐Michel; Roche, Frédéric

doi:10.1016/j.ijcard.2011.09.031

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…In addition, anthropometric measurements and especially WC is a reliable factor of OSA severity and metabolic syndrome underlying the importance of a bidirectional association between OSA, metabolic syndrome and obesity . While obesity and visceral fat quantity contribute to cardiovascular risk in OSA patients, the presence of OSA exacerbates obesity via OSA related sympathetic hyperactivity and insulin resistance .…”

Section: Discussionmentioning

confidence: 99%

Association of body fat composition and obstructive sleep apnea in the elderly: A longitudinal study

Martin

Roche

Thomas

et al. 2015

Obesity

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Objective: Obesity and aging are considered risk factors for developing sleep apnea syndrome (OSA). The aim of this study was to determine the association between body fat composition and OSA in healthy elderly subjects examined in a 7-year longitudinal study. Methods: A total of 209 elderly with unrecognized OSA aged 68.3 6 0.8 years underwent a clinical, ambulatory nocturnal respiratory recording, and anthropometric as well as body fat composition assessment by dual-energy X-ray absorptiometry (DEXA) at baseline and follow-up. Results: At study entry, 50.3% of the population showed an apnea1hypopnea index (AHI) <15 with a mean AHI of 16.8 6 11. At follow-up, a reduction of OSA cases (42%) was evident with a mean AHI of 14.6 6 10.2. The DEXA data demonstrated that body mass and total lean mass were reduced at followup, while central and peripheral fat mass showed a slight increase. Correlation analysis between the changes in DEXA measurements versus the changes in AHI and the indices of nocturnal hypoxemia showed an absence of a statistical correlation. Conclusions: The lack of correlation between the DEXA measurement changes and the changes in the AHI confirm our previous data on the absence of a central fat mass effect on OSA in the elderly.

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Section: Discussionmentioning

confidence: 99%

Association of body fat composition and obstructive sleep apnea in the elderly: A longitudinal study

Martin

Roche

Thomas

et al. 2015

Obesity

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“…We showed in a previous study that BFI was the best indicator of body fat in relation to the progressive decrease in activity of the autonomic nervous system, a strong predictor of cardiovascular disease [ 8 ]. In fact, overall and abdominal obesity as defined according to a BMI > 30 kg/m 2 and a WC greater than 88 or 102 cm take into account both the lean mass and fat mass.…”

Section: Discussionmentioning

confidence: 99%

“…DXA is a well accepted method for evaluating body composition and is now a standard because of its precision and simplicity. BFI was calculated as total body fat mass evaluated by DXA divided by the squared height in meters [ 8 ].…”

Section: Methodsmentioning

confidence: 99%

Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population

Assoumou

Pichot

Barthélémy

et al. 2023

Diabetol Metab Syndr

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Objectives Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population. Design : The PROgnostic indicator OF cardiovascular and cerebrovascular events (PROOF) study is a prospective longitudinal community cohort study among the inhabitants of Saint-Etienne, France. Methods The study is a cohort study of 1011 subjects, mean age 65.6 ± 0.8 years old at inclusion, recruited from the electoral list of the town in 2000. Among them, 806 subjects realized a Dual-energy X-ray absorptiometry (DXA) used to evaluate body fat and lean mass repartition. We evaluate biological metabolic parameters according to usual techniques. The indices of obesity were calculated according to standard formula. MS presence and its components were simultaneously evaluated. Results All obesity parameters were significantly higher (p < 0.0001) in subjects suffering metabolic syndrome as compared to those without. Body fat index (BFI) presented a stronger correlation to total fat mass, trunk fat mass and body adiposity index (BAI). The correlations between body indices and metabolic components showed that body mass index (BMI) and waist circumference were more strongly associated with BFI as compared to BAI and total fat mass. According to logistic regression analysis, only the waist-hip ratio (WHR) demonstrated a significant association with MS severity (p < 0.0001). Conclusions Among the obesity indices, BFI and BAI represented the best indicators to characterize global obesity while WHR only is highly predictive of metabolic syndrome presence and severity. The BAI indicator is an alternative for measuring obesity. Comparison of long-term impact of such markers on cardiovascular morbidity and mortality is now questioned.

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Anthropometric measures and vagal indexes of heart rate variability in a population with a high prevalence of Chagas disease—differences according to obesity status

Lima‐Costa

Diniz

et al. 2012

International Journal of Cardiology

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Obesity-related autonomic nervous system disorders are best associated with body fat mass index, a new indicator

Cited by 9 publications

References 9 publications

Association of body fat composition and obstructive sleep apnea in the elderly: A longitudinal study

Association of body fat composition and obstructive sleep apnea in the elderly: A longitudinal study

Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population

Anthropometric measures and vagal indexes of heart rate variability in a population with a high prevalence of Chagas disease—differences according to obesity status

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