scholarly journals Dietary-lifestyle patterns associated with adiposity and metabolic abnormalities in young men: cross-sectional study (MeDiSH Project)

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Marta Lonnie ◽  
Lidia Wadolowska ◽  
Joanna Kowalkowska ◽  
Elzbieta Bandurska-Stankiewicz
Keyword(s):  
Body Fat ◽  
Central Obesity ◽  
Cross Sectional Study ◽  
Fat Content ◽  
Metabolic Abnormalities ◽  
Cross Sectional ◽  
Lower Odds ◽  
High Body ◽  
Body Fat Content ◽  
Lifestyle Patterns

AbstractThe aim of this study was to examine the associations of dietary-lifestyle patterns (DLPs) with adiposity and metabolic abnormalities in young Polish men. The cross-sectional study included 367 men 19–40-year-old. Dietary and lifestyle behaviours were determined with food frequency questionnaire (Jezewska-Zychowicz et al. 2018, http://www.knozc.pan.pl). DPLs were derived with Principal Component Analysis. Body size and composition was assessed using measuring tapes and bioelectrical impedance analysis (BIA) method. Adiposity was determined by the assessment of excessive body weight (body mass index, BMI = 25–29.9kg/m2 for overweight and ≥ 30kg/m2 for obesity), body-fat content (percentage body fat, %BF > 25%), central obesity status (waist circumference, WC > 102cm) and skeletal muscle mass (SMM < 31kg/m2). Metabolic abnormalities were determined if parameters exceeded: 100mg/dL for fasting blood glucose (FBG), 150mg/dL for triglycerides (TG), 200mg/dL for total cholesterol (TC) and at least one component of blood pressure (BP) was above the norm (SBP ≥ 130mmHg or/and DBP ≥ 80mmHg). Multivariate logistic regression was used to calculate odds ratio (OR) and verify the association between variables. Four DLPs were derived, explaining 33% of the variance. Greater adherence (upper vs. bottom tertile) to “Protein food, fried-food and recreational physical activity” (DLP1) and “Healthy diet, activity at work, former smoking” (DLP4) patterns was associated with higher odds of being overweight (odds ratio, OR = 2.12, 95% confidence interval, 95%CI: 1.15–3.89; 3.05,1.69–5.53) but with high SMM (2.62, 1.53–4.49; 3.27, 1.91–5.59) and lower odds of central obesity (0.36, 0.16–0.83; 0.30, 0.12–0.74) and high body-fat content (0.22, 0.11–0.43; 0.37, 0.19–0.72). In addition, men from the upper tertile of DLP1 had lower odds of increased TC (0.43, 0.24–0.75). Greater adherence to “Sandwiches and convenience foods” pattern (DPL2) was associated with higher odds of central obesity (3.36,1.38–8.12), high body-fat content (3.69, 1.88–7.24) and high TC (2.50, 1.47–4.59) and lower odds of high SMM (0.54,0.32–0.90). Greater adherence to “Fast foods and stimulants” pattern (DLP3) was associated with higher odds of general and central obesity (2.56,1.00–6.56; 3.54, 1.53–8.19), high body-fat content (4.47, 2.05–9.73), but not with metabolic abnormalities. No associations between upper tertiles of DLPs and FBG, TG and BP were found. The clustering of dietary and lifestyle behaviours in men revealed that healthy diet attempts combined with active lifestyle, at work or leisure time, reduced risk of adiposity and metabolic abnormalities, despite some unhealthy components, former smoking or fried-food consumption. The study strengthens previous findings that unhealthy dietary behaviours have an adverse effect on adiposity outcomes and metabolic health, potentially through the mechanisms associated with central obesity.

scholarly journals Association of thyroid hormone with body fat content and lipid metabolism in euthyroid male patients with type 2 diabetes mellitus: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He
Keyword(s):  
Lipid Metabolism ◽  
Thyroid Hormones ◽  
Body Fat ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Fat Content ◽  
Cross Sectional ◽  
Tnf Α ◽  
Body Fat Content ◽  
Male Patients

Abstract Background This study aimed to explore the associations of thyroid hormones with body fat content and lipid metabolism in euthyroid male patients with type 2 diabetes mellitus (T2DM). Methods In January 2017, a cross sectional study, 66 male patients with T2DM who met the World Health Organization diagnostic criteria of 1999 who were ≥ 18.0 years and had normal thyroid function were recruited at a tertiary hospital. The categories of thyroid hormones (free triiodothyronine [FT3], free thyroxine [FT4], and thyroid-stimulating hormone [TSH]) were divided into three groups according to tertiles of thyroid hormones. Results The mean FT3, FT4, and TSH of the patients were 2.56 pg/mL, 1.03 ng/dL, and 1.50 μIU/mL, respectively. Increased FT3 were associated with higher body mass index (BMI) (P <  0.001), body fat percentage (BFP) (P = 0.008), visceral fat content (VFC) (P = 0.019), adiponectin (P = 0.037), tumor necrosis factor alpha (TNF-α) (P <  0.001), and interleukin 6 (IL-6) (P = 0.015). There were significant differences among the different FT4 categories for BMI (P = 0.033), waist–hip ratio (WHR) (P = 0.030), low-density lipoprotein cholesterol (LDL-C) (P = 0.014), and IL-6 (P = 0.009). Increased TSH could increase the total cholesterol (TC) (P = 0.005) and high-density lipoprotein cholesterol (HDL-C) (P = 0.010). FT3 was positively correlated with BMI (r = 0.45; P <  0.001), WHR (r = 0.27; P = 0.028), BFP (r = 0.33; P = 0.007), VFC (r = 0.30; P = 0.014), adiponectin (r = 0.25; P = 0.045), TNF-α (r = 0.47; P <  0.001), and IL-6 (r = 0.32; P = 0.008). FT4 was positively correlated with HDL-C (r = 0.26; P = 0.038), LDL-C (r = 0.26; P = 0.036), and adiponectin (r = 0.28; P = 0.023). TSH was positively correlated with TC (r = 0.36; P = 0.003). Conclusion This study found that the changes in thyroid hormones are associated with various body fat content and lipid metabolism in euthyroid male patients with T2DM.

scholarly journals Total Body Fat Content versus BMI in 4-Year-Old Healthy Swedish Children

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Elisabet Forsum ◽  
Eva Flinke Carlsson ◽  
Hanna Henriksson ◽  
Pontus Henriksson ◽  
Marie Löf
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Content ◽  
Overweight And Obesity ◽  
Air Displacement Plethysmography ◽  
High Body ◽  
Childhood Overweight And Obesity ◽  
Body Fat Content ◽  
Measurement Session ◽  
Total Body

Childhood overweight and obesity, a worldwide problem, is generally identified using BMI (body mass index). However, this application of BMI has been little investigated in children below 5 years of age due to a lack of appropriate methods to assess body composition. Therefore, we used air displacement plethysmography (ADP) to study 4.4-year old boys and girls since this method is accurate in young children if they accept the requirements of the measurement. The purpose was to analyze the relationship between BMI and body fat in these children. Body composition was assessed in 76 (43 boys, 33 girls) of the 84 children brought to the measurement session. Boys and girls contained25.2±4.7and26.8±4.0% body fat, respectively. BMI-based cut-offs for overweight could not effectively identify children with a high body fat content. There was a significant (P<0.001) but weak (r=0.39) correlation between BMI and body fat (%). In conclusion, requirements associated with a successful assessment of body composition by means of ADP were accepted by most 4-year-olds. Furthermore, BMI-based cut-offs for overweight did not effectively identify children with a high body fatness and BMI explained only a small proportion of the variation in body fat (%) in this age group.

scholarly journals An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study

2021 ◽  
Vol 22 (21) ◽  
pp. 12044
Author(s):  
Edyta Adamska-Patruno ◽  
Witold Bauer ◽  
Dorota Bielska ◽  
Joanna Fiedorczuk ◽  
Monika Moroz ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Body Fat ◽  
Fasting Blood Glucose ◽  
Fat Content ◽  
Dietary Factors ◽  
Metabolic Parameters ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
Body Fat Content

The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genotyped for common MC4R polymorphisms (rs17782313, rs12970134, rs633265, and rs135034), the anthropometric measurements, body fat content and distribution (visceral and subcutaneous adipose tissue, VAT and SAT, respectively), and blood glucose, insulin, total-, LDL-, HDL-cholesterol, triglycerides concentrations, and daily macronutrient intake were assessed. ANOVA or Kruskal–Wallis tests were used, and multivariate linear regression models were developed. We observed that the CC genotype carriers (rs17782313) presented higher VAT, VAT/SAT ratio, fasting blood glucose and triglyceride concentrations when they were stratified to the upper quantiles of protein intake. An increase in energy derived from proteins was associated with higher BMI (Est. 5.74, R2 = 0.12), body fat content (Est. 8.44, R2 = 0.82), VAT (Est. 32.59, R2 = 0.06), and VAT/SAT ratio (Est. 0.96, R2 = 0.05). The AA genotype carriers (rs12970134) presented higher BMI, body fat, SAT and VAT, fasting blood glucose, triglycerides and total cholesterol concentrations. An increase in energy derived from proteins by AA carriers was associated with higher VAT (Est.19.95, R2 = 0.06) and VAT/SAT ratio (Est. 0.64, R2 = 0.05). Our findings suggest that associations of the common MC4R SNPs with obesity and its metabolic complications may be dependent on the daily dietary intake, which may open new areas for developing personalised diets for preventing and treating obesity and obesity-related comorbidities.

Skin tissue dielectric constant in women with high body fat content

2019 ◽  
Vol 26 (2) ◽  
pp. 226-233
Author(s):  
Harvey N. Mayrovitz ◽  
Jessica Forbes ◽  
Adithi Vemuri ◽  
Katelyn Krolick ◽  
Samantha Rubin
Keyword(s):  
Dielectric Constant ◽  
Body Fat ◽  
Fat Content ◽  
Skin Tissue ◽  
High Body ◽  
Body Fat Content

scholarly journals Influence of Biochemical and Anthropometric Factors on the Presence of Insulin Resistance in Adolescents

2016 ◽  
Vol 18 (5) ◽  
pp. 541-548 ◽  
Author(s):  
Emilio González-Jiménez ◽  
Jacqueline Schmidt-RioValle ◽  
Miguel A. Montero-Alonso ◽  
Cristina Padez ◽  
Carmen J. García-García ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Fat ◽  
Glycosylated Hemoglobin ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Fat Content ◽  
Model Assessment ◽  
Cross Sectional ◽  
Nonesterified Fatty Acids ◽  
Body Fat Content

Background:Insulin resistance plays a determinant role in the development of metabolic syndrome in adolescents. The objective of the present study was to determine the influence of factors commonly associated with insulin resistance in a sample of adolescents.Methods:This cross-sectional study included 976 adolescents from southeast Spain. Anthropometric and biochemical measurements were performed, and insulin resistance was assessed using the homeostasis model assessment–insulin resistance (HOMA-IR).Results:Subjects with abnormal HOMA-IR values had significantly higher body mass index (BMI), body fat content, waist circumference, and systolic blood pressure (BP) than those with normal values. Furthermore, levels of glucose, insulin, glycosylated hemoglobin, total cholesterol, triglycerides, low-density lipoprotein-cholesterol, homocysteine, nonesterified fatty acids, and ceruloplasmin were higher in subjects with abnormal HOMA-IR values. Multivariate logistic regression analysis showed the highest odds ratio ( OR) for BMI and that combinations of BMI with body fat content or systolic BP can increase the risk of insulin resistance 7-fold.Discussion:Anthropometric indicators have different levels of influence on the risk of insulin resistance in adolescents, and a combination of two of these indicators is enough to increase the risk 7-fold. Since the highest OR was observed for BMI, the greatest effort should be directed to reducing this parameter in adolescents. An adequate understanding by nursing personnel of factors associated with insulin resistance is a key factor in the prevention of this pathophysiological condition and its complications in adolescents.

Total body fat content and fat topography are associated differently with in vivo glucose metabolism in nonobese and obese nondiabetic women

Diabetes ◽  
1992 ◽  
Vol 41 (9) ◽  
pp. 1151-1159 ◽  
Author(s):  
E. Bonora ◽  
S. Del Prato ◽  
R. C. Bonadonna ◽  
G. Gulli ◽  
A. Solini ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Body Fat ◽  
Fat Content ◽  
Body Fat Content ◽  
Total Body Fat ◽  
Total Body

scholarly journals Effect of ambient temperature on the productive and carcass traits of growing rabbits divergently selected for body fat content

animal ◽  
2020 ◽  
pp. 100096
Author(s):  
Z. Matics ◽  
Z. Gerencsér ◽  
R. Kasza ◽  
K. Terhes ◽  
I. Nagy ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Body Fat ◽  
Carcass Traits ◽  
Fat Content ◽  
Body Fat Content

scholarly journals Associations between exposure to perfluoroalkyl substances and body fat evaluated by DXA and MRI in 109 adolescent boys

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  
Keyword(s):  
Body Fat ◽  
Study Design ◽  
Sulfonic Acid ◽  
Standard Deviation Score ◽  
Cross Sectional Study ◽  
Mass Spectrometry Data ◽  
Perfluoroalkyl Substances ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total Body

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.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

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