Gluteofemoral body fat as a determinant of metabolic health

2010 ◽  
Vol 34 (6) ◽  
pp. 949-959 ◽  
Author(s):  
K N Manolopoulos ◽  
F Karpe ◽  
K N Frayn
Keyword(s):  
Body Fat ◽  
Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1981-P
Author(s):  
AVIGDOR D. ARAD ◽  
FREDERICK J. DIMENNA ◽  
HANNAH D. KITTRELL ◽  
HARRY R. KISSILEFF ◽  
JEANINE ALBU

2020 ◽  
Vol 14 ◽  
Author(s):  
Maria Poessel ◽  
Nora Breuer ◽  
Akshita Joshi ◽  
André Pampel ◽  
Arno Villringer ◽  
...  

Smell perception plays an important role in eating behavior and might be involved in body weight gain. Since a body of literature implies that olfactory perception and function is hampered in obesity, we here investigate neuroanatomical correlates of this phenomenon. We assessed olfactory bulb (OB) volume with magnetic resonance imaging in 67 healthy participants with a body mass index (BMI) from 18.9 to 45.4 kg/m2 (mean = 28.58 ± 6.64). Moreover, we obtained psychophysiological data on olfactory ability (Sniffin’ Sticks, Food associated odor test) and self-report measurements on eating behavior. Additionally, we collected parameters associated with metabolic health in obesity (waist-hip ratio, waist-height ratio, leptin levels, body fat percentage, fat mass index, insulin resistance) to investigate recently proposed mechanistic explanatory models of why olfaction may be altered in obesity. We showed that OB volume was significantly lower in participants with obesity when compared to those of normal weight. Moreover, we found weak to moderate negative correlations between OB volume and BMI and related measures of metabolic health, especially leptin, body fat percentage, waist-height ratio and insulin resistance. However, neither OB volume nor BMI were related to olfactory function in our young and healthy sample. Nevertheless, our results provide first indications that obesity is associated with brain anatomical changes in the OBs.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Yuan-Yuei Chen ◽  
Wen-Hui Fang ◽  
Chung-Ching Wang ◽  
Tung-Wei Kao ◽  
Yaw-Wen Chang ◽  
...  

2021 ◽  
pp. 1-8
Author(s):  
Łukasz Kryst ◽  
Magdalena Żegleń ◽  
Paulina Artymiak ◽  
Małgorzata Kowal ◽  
Agnieszka Woronkowicz

Abstract The aim of this study was to examine the differences between selected lifestyle and socioeconomic parameters among preschool (3–7 years of age) children of differing adiposity status. The study was conducted from February to June 2018 in 20 randomly selected kindergartens in Kraków, Poland. Triceps, biceps, subscapular, suprailiac, abdominal and calf skinfold thicknesses were measured. The sum of all six skinfolds was calculated and the children were subsequently characterized by low (≤–1 SD [standard deviation]), normal (–1 to 1 SD) or high body fat (≥1 SD). Socioeconomic and lifestyle characteristics were obtained using a questionnaire filled out by the children’s parents or legal guardians. Preschool children in the high adiposity category had, on average, fewer siblings and longer screen time; additionally, their parents had lower education and more often worked in manual jobs, in comparison to the children in the low and average adiposity categories. In conclusion, it was observed that children in different adiposity categories varied in terms of some socioeconomic as well as lifestyle characteristics. Knowledge regarding the influence that those factors can have on the metabolic health of children is essential for children’s present as well as future well-being. Moreover, it can help health care professionals and parents decide what intervention and/ or preventive measures should be undertaken to ensure the best possible outcomes, as the development of successful obesity prevention strategies should rely on evidence-based information. Nonetheless, future research examining the issue of factors influencing the metabolic health of children, as well as these outcomes later in life, is crucial. Well-planned studies including a large number of individuals, as well as longitudinal research, will be particularly beneficial in this regard.


Author(s):  
Fábio L. Pina ◽  
João P. Nunes ◽  
Alex S. Ribeiro ◽  
Matheus A. Nascimento ◽  
Letícia T. Cyrino ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1539
Author(s):  
Aoibhín Moore Heslin ◽  
Aisling O’Donnell ◽  
Maria Buffini ◽  
Anne P. Nugent ◽  
Janette Walton ◽  
...  

Excessive adiposity is associated with several metabolic perturbations including disturbances in iron homeostasis. Increased systemic inflammation in obesity stimulates expression of the iron regulatory hormone hepcidin, which can result in a maldistribution of bodily iron, which may be implicated in metabolic dysfunction. This study aimed to investigate the effect of adiposity and any associated inflammation on iron homeostasis and the potential implications of dysregulated iron metabolism on metabolic health. Analyses are based on a subsample from the cross-sectional Irish National Adult Nutrition Survey (2008–2010) (n = 1120). Ferritin status and risk of iron overload were determined based on established WHO ferritin ranges. Participants were classed as having a healthy % body fat or as having overfat or obesity based on age- and gender-specific % body fat ranges as determined by bioelectrical impedance. Biomarkers of iron status were examined in association with measures of body composition, serum adipocytokines and markers of metabolic health. Excessive % body fat was significantly associated with increased serum hepcidin and ferritin and an increased prevalence of severe risk of iron overload amongst males independent of dietary iron intake. Elevated serum ferritin displayed significant positive associations with serum triglycerides and markers of glucose metabolism, with an increased but non-significant presentation of metabolic risk factors amongst participants with overfat and obesity at severe risk of iron overload. Increased adiposity is associated with dysregulations in iron homeostasis, presenting as increased serum hepcidin, elevated serum ferritin and an increased risk of iron overload, with potential implications in impairments in metabolic health.


2021 ◽  
Author(s):  
Kim N. Cajachagua‐Torres ◽  
Hanan El Marroun ◽  
Irwin K. M. Reiss ◽  
Susana Santos ◽  
Vincent W. V. Jaddoe
Keyword(s):  
Body Fat ◽  

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