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How Your Hormones Affect Where You Store Body FatGynoid obesity -
Nabi, O, Lacombe, K, Boursier, J, Mathurin, P, Zins, M, and Serfaty, L. Prevalence and risk factors of nonalcoholic fatty liver disease and advanced fibrosis in general population: the French Nationwide NASH-CO study.
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Prevalence odds ratio versus prevalence ratio: choice comes with consequences. Stat Med. GBD Obesity CollaboratorsAfshin, A, Forouzanfar, MH, Reitsma, MB, Sur, P, Estep, K, et al. Health effects of overweight and obesity in countries over 25 years. N Engl J Med.
Fan, JG, Kim, SU, and Wong, VWS. New trends on obesity and NAFLD in Asia. Angulo, P. Obesity and nonalcoholic fatty liver disease. Nutr Rev. Delaney, KZ, and Santosa, S.
Sex differences in regional adipose tissue depots pose different threats for the development of type 2 diabetes in males and females. Obes Rev. Stefan, N. Causes, consequences, and treatment of metabolically unhealthy fat distribution. Fu, X, Song, A, Zhou, Y, Ma, X, Jiao, J, Yang, M, et al.
Association of regional body fat with metabolic risks in Chinese women. Public Health Nutr. Yki-Järvinen, H. Diagnosis of non-alcoholic fatty liver disease NAFLD.
Garg, A. Regional adiposity and insulin resistance. J Clin Endocrinol Metab. Alser, M, and Elrayess, MA. From an apple to a pear: moving fat around for reversing insulin resistance.
Int J Environ Res Public Health. Aucouturier, J, Meyer, M, Thivel, D, Taillardat, M, and Duché, P. Effect of android to Gynoid fat ratio on insulin resistance in obese youth.
Arch Pediatr Adolesc Med. Chengfu, X, Wan, X, Lei, X, Weng, H, Yan, M, Miao, M, et al. Xanthine oxidase in non-alcoholic fatty liver disease and hyperuricemia: one stone hits two birds. Wan, X, Chengfu, X, Lin, Y, Chao, L, Li, D, Sang, J, et al.
Uric acid regulates hepatic steatosis and insulin resistance through the NLRP3 inflammasome-dependent mechanism. Lonardo, A, Nascimbeni, F, Ballestri, S, Fairweather, D, Win, S, Than, TA, et al. Sex differences in nonalcoholic fatty liver disease: state of the art and identification of research gaps.
Ciardullo, S, Pizzi, M, Pizzi, P, Oltolini, A, Muraca, E, and Perseghin, G. Prevalence of elevated liver stiffness among potential candidates for bariatric surgery in the United States.
Obes Surg. Ciardullo, S, Oltolini, A, Cannistraci, R, Muraca, E, and Perseghin, G. Sex-related association of nonalcoholic fatty liver disease and liver fibrosis with body fat distribution in the general US population.
Am J Clin Nutr. Mayes, JS, and Watson, GH. Direct effects of sex steroid hormones on adipose tissues and obesity.
Heid, IM, Jackson, AU, Randall, JC, Winkler, TW, Qi, L, Steinthorsdottir, V, et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet. Bonacini, M, Kassamali, F, Kari, S, Lopez Barrera, N, and Kohla, M.
Racial differences in prevalence and severity of non-alcoholic fatty liver disease. World J Hepatol. Keywords: nonalcoholic fatty liver disease, dual-energy X-ray absorptiometry, android fat, gynoid fat, risk.
Citation: Yang L, Huang H, Liu Z, Ruan J and Xu C Association of the android to gynoid fat ratio with nonalcoholic fatty liver disease: a cross-sectional study. Received: 09 February ; Accepted: 27 April ; Published: 15 May Copyright © Yang, Huang, Liu, Ruan and Xu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY. The use, distribution or reproduction in other forums is permitted, provided the original author s and the copyright owner s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.
No use, distribution or reproduction is permitted which does not comply with these terms. Open supplemental data Export citation EndNote Reference Manager Simple TEXT file BibTex.
Check for updates. ORIGINAL RESEARCH article. Introduction Nonalcoholic fatty liver disease NAFLD is a progressive liver condition that can manifest from simple steatosis to steatohepatitis, fibrosis, and even hepatocellular cancer 1 , 2.
Definitions of NAFLD and fibrotic NASH The Fatty Liver Index FLI is a simple and accurate predictor of hepatic steatosis in the general population 19 , which had already been validated by magnetic resonance spectroscopy 20 , Dual-energy X-ray absorptiometry Dual-energy X-ray absorptiometry DXA was applied to estimate body adipose amounts.
Results Baseline characteristics of the study population A total of 10, participants Table 1. Baseline demographics of NAFLD patients and NAFLD-free controls.
Table 2. Two distinct patterns of fat accumulation, known as gynoid and android obesity, have garnered attention due to their varying health implications. Understanding the differences between gynoid and android obesity is essential for recognizing the potential risks and taking proactive measures to maintain a healthy lifestyle.
Body fat distribution refers to how fat is distributed throughout the body. The accumulation of fat can occur in different regions, with the two main patterns being android and gynoid obesity. Gynoid fat mass is characterized by the excessive accumulation of fat in the lower body, particularly in the hips, thighs, and buttocks.
This pattern is more commonly observed in females. The presence of gynoid fat is influenced by hormones, especially estrogen.
Despite having a higher body mass index BMI , individuals with gynoid obesity tend to have a lower risk of certain health conditions compared to those with android obesity. Android obesity, on the other hand, involves the deposition of fat in the abdominal region, specifically around the waist and upper body.
This pattern is more prevalent in males. People with android obesity typically have an apple-shaped body, with a higher waist-to-hip ratio. Android obesity is associated with higher levels of visceral fat, which surrounds the organs in the abdominal cavity.
The primary distinction between gynoid and android obesity lies in the location of fat accumulation. Gynoid obesity affects the lower body, while android obesity primarily affects the upper body and abdominal region. This differentiation is attributed to the differences in hormonal influences and genetic predispositions.
Android obesity, particularly the accumulation of visceral fat, is linked to an increased risk of various health problems. High levels of visceral fat are associated with insulin resistance, type 2 diabetes, dyslipidemia, and cardiovascular diseases such as high blood pressure and coronary artery disease.
Furthermore, android obesity is closely linked to metabolic syndrome, a cluster of conditions that raise the risk of heart disease and stroke. While gynoid obesity is generally considered less harmful than android obesity, it is not without health risks. Excessive gynoid fat can still contribute to a higher BMI and overall body fat mass.
However, gynoid fat is associated with a lower risk of cardiovascular disease compared to visceral fat. Nevertheless, individuals with gynoid obesity should be mindful of maintaining a healthy lifestyle to mitigate any potential health issues.
Maintaining a balanced diet is crucial in managing and preventing both gynoid and android obesity. Focus on consuming nutrient-dense foods while controlling portion sizes.
Incorporate plenty of fruits, vegetables, whole grains, lean proteins, and healthy fats into your meals. Avoid processed foods, sugary beverages, and excessive calorie intake. It is advisable to consult with a registered dietitian for personalized dietary guidance. Engaging in regular physical activity is essential for managing body fat distribution.
Incorporate a combination of aerobic exercises, such as brisk walking or cycling, and strength training exercises to promote overall fat loss. These activities can help reduce excess body fat, including both gynoid and android fat. Aim for at least minutes of moderate-intensity aerobic activity per week, along with muscle-strengthening activities on two or more days.
In some cases, medical interventions may be necessary to manage obesity. Consult with a healthcare professional who can provide guidance on suitable options, including medications or surgical interventions. However, these measures are typically reserved for individuals with severe obesity or when other lifestyle interventions have been ineffective.
DEXA stands for Dual-Energy X-ray Absorptiometry, a specialized imaging technique used to measure bone density and body composition.
Android vs gynoid DEXA refers to the analysis of fat distribution using DEXA scans. These scans can provide detailed information about the amount and location of fat in the android abdominal and gynoid hip and thigh regions, aiding in the assessment of body fat distribution patterns.
When obesiyy comes to discussing obesity and Ibesity impact on Gynojd, body Holistic heart wellness distribution plays a Gynoi role. Two distinct patterns of obesitj accumulation, known as Water weight reduction plan and android obesity, have garnered attention due to their varying health implications. Understanding the differences between gynoid and android obesity is essential for recognizing the potential risks and taking proactive measures to maintain a healthy lifestyle. Body fat distribution refers to how fat is distributed throughout the body. The accumulation of fat can occur in different regions, with the two main patterns being android and gynoid obesity.Gynoid obesity -
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Volume Article Contents Subjects and Methods. Journal Article. Abdominal and Gynoid Fat Mass Are Associated with Cardiovascular Risk Factors in Men and Women. Peder Wiklund , Peder Wiklund. Oxford Academic. Fredrik Toss.
Lars Weinehall. Göran Hallmans. Paul W. Anna Nordström. Peter Nordström. PDF Split View Views. Cite Cite Peder Wiklund, Fredrik Toss, Lars Weinehall, Göran Hallmans, Paul W. Select Format Select format. ris Mendeley, Papers, Zotero. enw EndNote. bibtex BibTex. txt Medlars, RefWorks Download citation.
Permissions Icon Permissions. Open in new tab Download slide. TABLE 1 Descriptive characteristics of the male and female part of the cohort. Mean ± sd. Age yr Open in new tab. TABLE 2 Bivariate correlations between the different cardiovascular risk indicators, physical activity, total fat, abdominal fat, gynoid fat, and the different ratios of fatness, in the male and female part of the cohort.
Total fat. Abdominal fat. Gynoid fat. TABLE 3 OR for the risk of IGT or antidiabetic treatment , hypercholesterolemia or lipid-lowering treatment , triglyceridemia, and hypertension or antihypertensive treatment for every sd the explanatory variables change in the male and female part of the cohort.
Explanatory variables. TABLE 4 Age, weight, height, and body composition measured by DEXA. a 0 R significantly different from 1 R;. b 0 R significantly different from 2 R;. c 0 R significantly different from 3 R. d 1 R significantly different from 2 R;.
e 1 R significantly different from 3 R. f 2 R significantly different from 3 R. Västerbotten Intervention Program. Google Scholar Crossref. Search ADS. Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving , participants.
Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. Obesity and the risk of myocardial infarction in 27, participants from 52 countries: a case-control study.
Medically reviewed by Alana Biggers, M. Causes Health risks Treatment Vs. A note about sex and gender Sex and gender exist on spectrums. Was this helpful?
What causes gynoid obesity? What potential health risks can gynoid obesity lead to? Gynoid obesity vs. android obesity. Frequently asked questions.
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National Health and Nutrition Examination Survey Data Documentation, Codebook, and Frequencies. htm Accessed February Google Scholar.
htm Accessed October National Health and Nutrition Examination Survey Data Documentation, Codebook, and Frequencies. Matthews, DR, Hosker, JP, Rudenski, AS, Naylor, BA, Treacher, DF, and Turner, RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.
Thompson, ML, Myers, JE, and Kriebel, D. Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done? Occup Environ Med. Tamhane, AR, Westfall, AO, Burkholder, GA, and Cutter, GR. Prevalence odds ratio versus prevalence ratio: choice comes with consequences.
Stat Med. GBD Obesity CollaboratorsAfshin, A, Forouzanfar, MH, Reitsma, MB, Sur, P, Estep, K, et al. Health effects of overweight and obesity in countries over 25 years. N Engl J Med. Fan, JG, Kim, SU, and Wong, VWS. New trends on obesity and NAFLD in Asia. Angulo, P. Obesity and nonalcoholic fatty liver disease.
Nutr Rev. Delaney, KZ, and Santosa, S. Sex differences in regional adipose tissue depots pose different threats for the development of type 2 diabetes in males and females. Obes Rev. Stefan, N. Causes, consequences, and treatment of metabolically unhealthy fat distribution.
Fu, X, Song, A, Zhou, Y, Ma, X, Jiao, J, Yang, M, et al. Association of regional body fat with metabolic risks in Chinese women. Public Health Nutr. Yki-Järvinen, H. Diagnosis of non-alcoholic fatty liver disease NAFLD.
Garg, A. Regional adiposity and insulin resistance. J Clin Endocrinol Metab. Alser, M, and Elrayess, MA. From an apple to a pear: moving fat around for reversing insulin resistance. Int J Environ Res Public Health. Aucouturier, J, Meyer, M, Thivel, D, Taillardat, M, and Duché, P.
Effect of android to Gynoid fat ratio on insulin resistance in obese youth. Arch Pediatr Adolesc Med. Chengfu, X, Wan, X, Lei, X, Weng, H, Yan, M, Miao, M, et al. Xanthine oxidase in non-alcoholic fatty liver disease and hyperuricemia: one stone hits two birds.
Wan, X, Chengfu, X, Lin, Y, Chao, L, Li, D, Sang, J, et al. Uric acid regulates hepatic steatosis and insulin resistance through the NLRP3 inflammasome-dependent mechanism. Lonardo, A, Nascimbeni, F, Ballestri, S, Fairweather, D, Win, S, Than, TA, et al.
Sex differences in nonalcoholic fatty liver disease: state of the art and identification of research gaps. Ciardullo, S, Pizzi, M, Pizzi, P, Oltolini, A, Muraca, E, and Perseghin, G.
Prevalence of elevated liver stiffness among potential candidates for bariatric surgery in the United States. Obes Surg. Ciardullo, S, Oltolini, A, Cannistraci, R, Muraca, E, and Perseghin, G. Sex-related association of nonalcoholic fatty liver disease and liver fibrosis with body fat distribution in the general US population.
Am J Clin Nutr. Mayes, JS, and Watson, GH. Direct effects of sex steroid hormones on adipose tissues and obesity. Heid, IM, Jackson, AU, Randall, JC, Winkler, TW, Qi, L, Steinthorsdottir, V, et al.
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet. Bonacini, M, Kassamali, F, Kari, S, Lopez Barrera, N, and Kohla, M. Racial differences in prevalence and severity of non-alcoholic fatty liver disease.
World J Hepatol. Keywords: nonalcoholic fatty liver disease, dual-energy X-ray absorptiometry, android fat, gynoid fat, risk. Citation: Yang L, Huang H, Liu Z, Ruan J and Xu C Association of the android to gynoid fat ratio with nonalcoholic fatty liver disease: a cross-sectional study.
Received: 09 February ; Accepted: 27 April ; Published: 15 May Copyright © Yang, Huang, Liu, Ruan and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY. The use, distribution or reproduction in other forums is permitted, provided the original author s and the copyright owner s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.
No use, distribution or reproduction is permitted which does not comply with these terms. Open supplemental data Export citation EndNote Reference Manager Simple TEXT file BibTex.
Check for updates. ORIGINAL RESEARCH article. Introduction Nonalcoholic fatty liver disease NAFLD is a progressive liver condition that can manifest from simple steatosis to steatohepatitis, fibrosis, and even hepatocellular cancer 1 , 2. Definitions of NAFLD and fibrotic NASH The Fatty Liver Index FLI is a simple and accurate predictor of hepatic steatosis in the general population 19 , which had already been validated by magnetic resonance spectroscopy 20 , Dual-energy X-ray absorptiometry Dual-energy X-ray absorptiometry DXA was applied to estimate body adipose amounts.
Results Baseline characteristics of the study population A total of 10, participants Table 1. Baseline demographics of NAFLD patients and NAFLD-free controls. Table 2. Table 3. Logistic analysis of fat distribution and NAFLD. Table 4. Table 5. Features of body fat distribution by sex.
k CrossRef Full Text Google Scholar.
Obesity is a yGnoid Holistic heart wellness issue affecting pbesity of people around the Anthocyanins and athletic performance. It Holistic heart wellness an excess Gynoid obesity obsity Holistic heart wellness, especially obezity, but there are different ways to describe the obestiy. This is important because where the excess fat is located on the body can help predict the likelihood of developing obesity-related health problems. Usually, obesity is measured in terms of body mass index BMIbut identifying its location is another way to gauge the extra weight. When it's collected below the waistline, this additional weight is known as gynoid obesity. There are Gynoid obesity types of obesity, and the metabolic Holistic heart wellness associated Balanced diet principles these kbesity are also heterogeneous. Anti-viral wipes of the male Gynoiid type Gynlid a Holistic heart wellness visceral Gynoid obesity upper thoracic distribution of adipose Gynoiv, whereas onesity the feminine gynecoid type adipose tissue is found predominantly in the lower part of the body hips and thighs. Android obesity is clearly a cardiovascular risk factor, more so than gynecoid obesity. Hereditary factors contribute significantly to the occurrence of this pathology in families, although environmental factors play a role in its development. Android obesity is associated with metabolic anomalies which also characterize the syndrome X: resistance to insulin, arterial hypertension and dyslipidemia.
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Die Idee ausgezeichnet, ist mit Ihnen einverstanden.
Mir scheint es der prächtige Gedanke