Relationship Between Plasma Copper Concentration and Body Fat Distribution in Children in China: a Cross-Sectional Study

2020 ◽  
Vol 198 (2) ◽  
pp. 430-439
Author(s):  
Jingjing Liang ◽  
Fengyan Chen ◽  
Guoqing Fang ◽  
Xin Zhang ◽  
Yan Li ◽  
...  
2012 ◽  
Vol 108 (2) ◽  
pp. 363-370 ◽  
Author(s):  
Britta Schautz ◽  
Wiebke Later ◽  
Martin Heller ◽  
Achim Peters ◽  
Manfred J. Müller ◽  
...  

Age-related changes in leptin and adiponectin levels remain controversial, being affected by inconsistent normalisation for adiposity and body fat distribution in the literature. In a cross-sectional study on 210 Caucasians (127 women, eighty-three men, 18–78 years, BMI 16·8–46·8 kg/m2), we investigated the effect of age on adipokine levels independent of fat mass (FM measured by densitometry), visceral and subcutaneous adipose tissue volumes (VAT and SAT assessed by whole-body MRI). Adiponectin levels increased with age in both sexes, whereas leptin levels decreased with age in women only. There was an age-related increase in VAT (as a percentage of total adipose tissue, VAT%TAT), associated with a decrease in SATlegs%TAT. Adiposity was the main predictor of leptin levels, with 75·1 % of the variance explained by %FM in women and 76·6 % in men. Independent of adiposity, age had a minor contribution to the variance in leptin levels (5·2 % in women only). The variance in adiponectin levels explained by age was 14·1 % in women and 5·1 % in men. In addition, independent and inverse contributions to the variance in adiponectin levels were found for truncal SAT (explaining additional 3·0 % in women and 9·1 % in men) and VAT%TAT (explaining additional 13·0 % in men). In conclusion, age-related changes in leptin and adiponectin levels are opposite to each other and partly independent of adiposity and body fat distribution. Normalisation for adiposity but not for body fat distribution is required for leptin. Adiponectin levels are adversely affected by subcutaneous and visceral trunk fat.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  

Abstract Background Exposure to perfluoroalkyl substances (PFASs) has been associated with changes in body mass index and adiposity, but evidence is inconsistent as study design, population age, follow-up periods and exposure levels vary between studies. We investigated associations between PFAS exposure and body fat in a cross-sectional study of healthy boys. Methods In 109 boys (10–14 years old), magnetic resonance imaging and dual-energy X-ray absorptiometry were performed to evaluate abdominal, visceral fat, total body, android, gynoid, android/gynoid ratio, and total fat percentage standard deviation score. Serum was analysed for perfluorooctanoic acid, perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid, and perfluorodecanoic acid using liquid chromatography and triple quadrupole mass spectrometry. Data were analysed by multivariate linear regression. Results Serum concentrations of PFASs were low. Generally, no clear associations between PFAS exposure and body fat measures were found; however, PFOS was negatively associated with abdominal fat (β = -0.18, P = 0.046), android fat (β = -0.34, P = 0.022), android/gynoid ratio (β = -0.21, P = 0.004), as well as total body fat (β = -0.21, P = 0.079) when adjusting for Tanner stage. Conclusions Overall, we found no consistent associations between PFAS exposure and body fat. This could be due to our cross-sectional study design. Furthermore, we assessed PFAS exposure in adolescence and not in utero, which is considered a more vulnerable time window of exposure.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046060
Author(s):  
Alisha N Wade ◽  
Nigel J Crowther ◽  
Shafika Abrahams-Gessel ◽  
Lisa Berkman ◽  
Jaya A George ◽  
...  

ObjectivesWe investigated concordance between haemoglobin A1c (HbA1c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity.DesignCross-sectional study.SettingRural South African population-based cohort.Participants765 black individuals aged 40–70 years and with no history of diabetes.Primary and secondary outcome measuresThe primary outcome measure was concordance between HbA1c-defined diabetes and FPG-defined diabetes. Secondary outcome measures were differences in anthropometric characteristics, fat distribution and insulin resistance (measured using Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR)) between those with concordant and discordant HbA1c/FPG classifications and predictors of HbA1c variance.ResultsThe prevalence of HbA1c-defined diabetes was four times the prevalence of FPG-defined diabetes (17.5% vs 4.2%). Classification was discordant in 15.7% of participants, with 111 individuals (14.5%) having HbA1c-only diabetes (kappa 0.23; 95% CI 0.14 to 0.31). Median body mass index, waist and hip circumference, waist-to-hip ratio, subcutaneous adipose tissue and HOMA-IR in participants with HbA1c-only diabetes were similar to those in participants who were normoglycaemic by both biomarkers and significantly lower than in participants with diabetes by both biomarkers (p<0.05). HOMA-IR and fat distribution explained additional HbA1c variance beyond glucose and age only in women.ConclusionsConcordance was poor between HbA1c and FPG in diagnosis of diabetes in black South Africans, and participants with HbA1c-only diabetes phenotypically resembled normoglycaemic participants. Further work is necessary to determine which of these parameters better predicts diabetes-related morbidities in this population and whether a population-specific HbA1c threshold is necessary.


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