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Android vs gynoid fat distribution factors

Android vs gynoid fat distribution factors

The young age and absence distribbution cardiometabolic Body composition and hormones in our participants even in the presence of higher android fat may explain the lack of difference. Nutr Diabetes. Circulation ;99 4 PubMed Google Scholar Crossref.

For more information about Athlete bone fracture prevention Subject Areas, ygnoid here.

Fat accumulation gynoie android Sweet potato breakfast bowl may confer increased metabolic risk. The gynoiid utility of measuring regional fat deposition in association with metabolic syndrome MS has not been well described particularly gtnoid an elderly population.

As part of the Distrlbution Longitudinal Study Hydration needs for backpackers Health and Fzctors, which is a community-based cohort study Andrpid people aged more than 65 years, Nutrient-rich meal ideas male, We investigated distribtion relationship between regional body composition and MS in multivariate ditsribution models.

Mean Anfroid and SAT area was Mean android and gynoid fat amount was 1. VAT area fistribution android fat amount was distributikn correlated factoes most metabolic risk factors compared to SAT or Anrroid fat.

Furthermore, android fat amount was significantly Type diabetes awareness with clustering of MS components after adjustment Rest and recovery multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of Andrkid resistance, whole Android vs gynoid fat distribution factors fat mass and VAT area.

Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Android vs gynoid fat distribution factors of android distribbution may provide a more complete understanding of metabolic risk associated with variations in distributtion Body composition and hormones.

Citation: Kang Gynooid, Yoon JW, Ahn HY, Kim SY, Lee KH, Shin H, et diztribution. PLoS Disttibution 6 11 : e Received: June 2, ; Accepted: October 22, ; Published: November 11, Copyright: © Distribition et al.

This factogs an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, Androis, and reproduction in any medium, Chronic disease management the original author and source are credited.

Lim, and Korean Diabetes Association grant to S. Essential vitamin alternatives funders dactors no role fistribution study design, fay collection and analysis, decision to publish, Androdi preparation of the manuscript.

Competing interests: The authors have fsctors that no competing interests exist. Obesity hynoid a heterogeneous disorder characterized by multi-factorial etiology. Obese fa vary in their body fat distribution, factrs metabolic profile and distributuon degree of cat cardiovascular distribuhion metabolic risks.

Android vs gynoid fat distribution factors is substantial evidence providing that fat tactors is a better predictor of cardiovascular disease than the degree of obesity [1] distriution [5].

An excess of abdominally located fat, even without manifestations of obesity, Pilates routines associated with metabolic disturbances that indicate an increased risk of Strengthening immune function and of higher morbidity and mortality, possible due to AAndroid characteristics Ahdroid abdominal adipocytes [3][4][6][7].

Thus, regional fat distribution rather than overall fat volume has been considered to be more important in understanding the link between obesity and metabolic disorders. Among fat depots, fat accumulation in the abdominal area has a distribition risk Android vs gynoid fat distribution factors developing diabetes and future cardiovascular events than the peripheral area Andrid.

There are differences between adipose oxidative stress symptoms present in subcutaneous areas and in the abdominal cavity.

These include anatomical, cellular, molecular, physiological, clinical and Ajdroid differences [2]Androidd[9]. Many studies have vz that visceral adipose tissue VAT compared with subcutaneous adipose tissue Fst is more cellular, vascular and innervated fay a larger number of inflammatory and immune cells, gynodi preadipocyte differentiating capacity, and a gyniod percentage of large adipocytes [9].

Therefore, fat distribution rather than its magnitude distrbution be factor significant in understanding metabolic risk, particularly the varying impacts of VAT and SAT.

In a tat context, truncal fat depot can be partitioned fqctors Chronic disease management body android or central and distribjtion body gynoid or peripheral area.

Empirically, android or central fat deposition is known to Andrroid more associated with cardiometabolic risk than gynoid vw peripheral fat fadtors. Many studies with simple Muscle growth genetics measurements such as waist circumference or waist-to-hip ratio have given more weight to the central adiposity [6][10] — [12].

More advanced technology with computed tomography CT or dual energy X-ray absorptiometry DXA has been used to measure the regional fat mass.

CT has an advantage in distinguishing between VAT and SAT while DXA can measure compartment body compositions such as android and gynoid area. Metabolic syndrome MS increases cardiovascular morbidity and mortality, and all cause of mortality [13].

MS also increases the risk of developing diabetes mellitus with its components representing major risk factors for impaired glucose metabolism [14].

Obesity, particularly abdominal obesity, is a key feature of a cluster of atherothrombotic and inflammatory abnormalities associated with MS [15].

There is substantial evidence linking central obesity with cardiovascular disease and the other MS components as well as its critical role in the etiological cascade leading to full-blown manifestations of MS.

Thus, assessment of fat distribution may be important in the clinical evaluation of cardiometabolic risks. However, there has been no comprehensive study on fat distribution related risks particularly in elderly Asian populations whose physical and metabolic characteristics differ from those of Caucasians.

We evaluated the association between clustering of components constituting MS and the whole and regional body composition measured by comprehensive methods including DXA and CT in a community-based cohort study of elderly men and women.

The effects of metabolic or inflammatory markers were also evaluated. This study was part of the Korean Longitudinal Study on Health and Aging KLoSHAwhich is a cohort that began in and consisted of Korean subjects aged over 65 years men and women recruited from Seongnam city, one of the satellites of Seoul Metropolitan district.

The study population and part of the method of measurements for the cohort have been published previously [16]. The current study subjects were from the KLoSHA. Of these subjects, 21 declined the DXA or CT scans and 14 were unable to undergo the examination due to their poor physical condition.

In total, participants Pertinent demographic and other characteristics of the selected subjects were similar to the cohort population. Among study participants, Smoking and alcohol status was divided into three categories; current smoker, ex-smoker, or never smoker, and current drinker, ex-drinker, or never drinker, respectively.

Physical activity was divided into two categories; none or regular exercise. Regular exercise was defined as exercising more than three times a week each session should be at least 30 min long.

The homeostasis model assessment of the insulin resistance HOMA-IR was calculated as reported previously [17]. Several metabolic markers including adiponectin and high-sensitivity CRP hsCRP which are known to be associated with MS were measured.

Detailed information about measurement method was published previously [16]. All the assessments were performed at Seoul National University Bundang Hospital SNUBH. This was approved by the Institutional Review Board of SNUBH.

The written, informed consent for subjects undergoing CT procedure to inform them of radiation hazard and possible contrast toxicity was obtained from each individual as a routine procedure.

DXA measures were recorded using a bone densitometer Lunar, GE Medical systems, Madison, WI. DXA is quantified by body tissue absorption of photons that are emitted at two energy levels to resolve body weight into bone mineral, lean and fat soft tissue masses.

In vivo precision for body composition measurements using DXA was proven previously [19]. In this study, precision was excellent for lean tissue mass root mean square of 0.

The regions of interest ROI for regional body composition were defined using the software provided by the manufacturer Figure 1A :.

CT scans were obtained using a 64—detector Brilliance; Philips Medical Systems, Cleveland, Ohio. All patients were placed in the supine position and were scanned from L to L5-S1 intervetebral disc level. The tube voltage was kVp for 64 detector row scanner. Effective tube current-time product generally ranged between 20—50 mAs.

The images were reconstructed with 5 mm thickness with 5 mm-intervals. VAT was defined as fat area confined to the abdominal wall musculature. After subtracting VAT from total fat area, the remainder was defined as SAT Figure 1B.

Detailed information about the cardiac CT angiography protocol was described previously [21]. Briefly, CT angiography was performed with a slice multidetector-row cardiac CT scanner Brilliance 64; Philips Medical Systems, Best, The Netherlandsand a standard scanning protocol was used [21].

All scans were analyzed independently in a blind fashion using a three-dimensional workstation Brilliance; Philips Medical Systems. Each lesion was identified using a multiplanar reconstruction technique and maximum intensity projection of the short axis, in two-chamber and four-chamber views.

Coronary artery lesions were analyzed according to the modified American Heart Association classification [22]. The demographic and laboratory characteristics of subjects were compared using Student's t test or a Chi-square test according to the presence of MS.

Correlations between variables were analyzed using Pearson's correlation. Multiple regression analysis was used to determine the independent effect of body composition parameters on clustering of five components of MS.

Anthropometric, body composition, and metabolic characteristics of the study population stratified by sex are provided in Table S1.

Mean age ± SD of study subjects was BMI ± SD was Men were more likely to have unfavorable lifestyle habits including smoking and alcohol consumption, nevertheless the proportion of participants who engaged in regular exercise was significantly higher in men than in women.

The concentrations of HDL- and LDL-cholesterol, and adiponectin were significantly greater in women whereas fasting plasma glucose concentration were higher in men.

There was no significant difference in the concentration of triglycerides, fasting insulin, A1C, and hsCRP levels between men and women. Whole body muscle mass measured by DXA was significantly greater in men.

Whole body fat mass, android and gynoid fat amount measured by DXA, and SAT quantified by CT were significantly higher in women than men. Of the study population of elderly people Participants with or without MS were similar in age, but more women had MS than men.

Systolic and diastolic blood pressure, BMI, and waist circumference were significantly higher in participants with MS compared to without MS. In terms of specific adiposity measurements, whole body fat mass, total android and gynoid tissue, android and gynoid fat amount measured by DXA, and VAT and SAT quantified by CT scan were all greater in participants with MS compared to without MS.

The concentrations of triglycerides, and HDL-cholesterol, fasting glucose and insulin, and A1C levels, and HOMA-IR were significantly higher in participants with MS than without MS. Circulating adiponectin levels were significantly lower in participants with MS, whereas hsCRP level was not significantly different between two groups.

In terms of lifestyle habits, the proportion of subjects with cigarette smoking and alcohol consumption were significantly higher in MS. However participants with MS were more likely to engage in regular exercise. Past medical history of coronary heart disease i.

angina, myocardial infarction, percutaneous coronary intervention, and coronary artery bypass surgery or strokes were not different. VAT at the level of umbilicus was significantly correlated with adiposity measurements by DXA including whole body fat mass, android and gynoid fat amount. The concentration of triglycerides was associated with all of the four adiposity indices including VAT and SAT, and android and gynoid fat amount whereas HDL-cholesterol showed negative association with adiposity indices.

Android fat amount was associated with fasting glucose and insulin levels, HOMA-IR, and A1C, whereas gynoid fat was not associated with fasting glucose and A1C levels.

: Android vs gynoid fat distribution factors

Android fat distribution - Wikipedia

These fats can be broken down into two types:. This fat accumulates around the central trunk region. It can also include chest and upper arms.

Holding fat primarily in the arms and chest area can increase insulin resistance. This means your body will not be able to transport and use up extra sugar for energy, versus leaving it free floating in the blood Diabetes.

This can more readily support processes that cause heart disease, diabetes, hormonal imbalances, sleep apnea and more. The reason that we see so many more risk factors for disease in this type of fat storage can be because this fat directly correlates with a higher amount of visceral fat.

According to Dexafit. Pop Quiz: Which gender do you think carries their weight in this area, and experiences, generally, more of these more internal health signs?

This fat accumulates around the hips and buttocks. Individuals who hold their excess fat in this region tend to suffer from mechanical problems such as hip, knee and other joint issues, versus metabolic or hormonal issues. In addition, this distribution of fat actually has a negative risk factor for heart and metabolic disease!

Pop Quiz: Which gender do you think hold their weight in the bottom half of their body, and what sorts of issues do these people generally run into in regards to movement? The Difference Between Android and Gynoid Obesity. Are you an Apple, a Pear, or neither? Android Vs.

Gynoid: This fat accumulates around the hips and buttocks. Next week we will go over how to determine what type of shape we have of these two, using an easy at home measuring method! Using a more accurate measurement of site-specific body fat may provide a better understanding on the role of abdominal fat accumulation in cardiovascular diseases.

The aims of this study are to determine: i the association of DEXA-defined elevated android and gynoid percent fat with cardiometabolic risk factors, ii whether commingling of android and gynoid percent fat is associated with greater cardiometabolic deregulation than their independent effect in normal weight American adults.

The — data from the United States National Health and Nutritional Examination Surveys NHANES were used in this study. These surveys are based on cross-sectional sampling designs that collect health-related information from noninstitutionalized American adults.

NHANES participants were interviewed in their homes and subsequently received physical and laboratory examinations in mobile examination centers. Detailed description of the NHANES methodologies has been published elsewhere, 18 and is also available at the National Center for Health Statistics NCHS website.

The stages of sample selection were as follows: i Primary Sampling Units were counties or small groups of contiguous counties; ii segments within Primary Sampling Units a block or group of blocks containing a cluster of households ; iii households within segments; and iv one or more participants within households.

In NHANES, anthropometric measures and biological samples were obtained in mobile examination centers. Descriptions of variable measurements and assays are available online.

Height was measured using a fixed stadiometer with a vertical backboard and a moveable headboard. Weight was measured at a standing position using a Toledo digital weight scale Seritex, Carlstadt, NJ, USA , and measurement was made at the end of a normal expiration and to the nearest 0.

Three consecutive BP readings were obtained at a one-time examination visit using a standard protocol. In this investigation, averages of the three systolic SBP and diastolic BP DBP readings were used as representative of the participants' SBP and DBP values.

Triglycerides and glucose were measured enzymatically in serum using a series of coupled reactions after hydroxylation into glycerol.

HDL-cholesterol measurements for the — surveys were attained using a direct immunoassay technique. Fasting glucose was measured according to a hexokinase enzymatic method. In NHANES, entire body DEXA scans were administered in the mobile examination center and the Hologic APEX software was used in the scan analysis to define the android and gynoid regions.

The android area is roughly the area around the waist between the mid-point of the lumbar spine and the top of the pelvis while the gynoid area lies roughly between the head of the femur and mid-thigh. In this study, smoking was categorized as smokers and nonsmokers, and moderate alcohol intake as consuming more than two alcoholic drinks per day for men and one drink per day for women.

Subjects with in the third tertile of android and gynoid percent fat were regarded as having elevated android and gynoid fat, respectively.

Android-gynoid percent fat ratio was defined as android fat divided by gynoid fat. Android-gynoid percent fat ratio is a pattern of body fat distribution that is associated with an increased risk for metabolic syndrome in healthy adults.

All study analyses were conducted using SAS for Windows version 9. To account for the unequal probability of selection, oversampling and nonresponse, the appropriate sample weights, strata and cluster variables were utilized. Descriptive statistics were performed using the survey frequency and survey means function in SAS.

We assessed cardiovascular risk of elevated android and gynoid percent fat rates by clustering of cardiometabolic risk factors two or more, three or more and four or more cardiometabolic risk factors that includes elevated glucose, elevated BP, elevated LDL-cholesterol, elevated triglycerides and low HDL-cholesterol.

Independent associations between elevated android and gynoid percent fat, and their joint occurrence independent variables with cardiometabolic dysregulations elevated glucose, elevated BP, elevated LDL-cholesterol, elevated triglycerides, low HDL-cholesterol were assessed using odds ratios from multiple logistic regression models.

The studied population had BP, triglycerides, FPG, LDL-cholesterol, HDL-cholesterol and total cholesterol values that were within the National Cholesterol Education Program recommendations. There were no significant gender differences for age, BMI, FPG, LDL-cholesterol, HDL-cholesterol and total cholesterol differences.

As shown, there were statistically significant gender differences in rates of android and gynoid percent fat at every level of cardiometabolic risk numbers. In men, the rate of android percent fat for subjects with 0, 1—3 and 4—5 cardiometabolic risk factors were 9.

In men, the rate of gynoid percent fat for subjects with 0, 1—3 and 4—5 cardiometabolic risk factors were 1.

Prevalence of android and gynoid adiposity by numbers of cardiometabolic risk factors in non-overweight American adults.

We investigated age-, sex-, smoking- and alcohol intake-adjusted overall and sex-specific degrees of correlation of android percent fat, gynoid percent fat, android-gynoid percent fat ratio and BMI with cardiometabolic risk factors Table 2.

The degrees of correlation of android-gynoid percent fat ratio with cardiometabolic risk factors were higher than those between android percent fat or gynoid percent fat with cardiometabolic risk factors. Overall, BMI was less highly correlated with the cardiometabolic risk factors that were investigated compared with android-gynoid percent fat ratio.

Results of overall Table 3 and sex-specific analyses Tables 4 and 5 of association of android and gynoid fat patterns and their combined effects on cardiometabolic dysregulation, including elevated glucose, BP, LDL-cholesterol, triglycerides and low HDL-cholesterol were determined using age-, BMI-, smoking- and alcohol intake-adjusted logistic regression models.

In both overall and sex-specific analyses, commingling of elevated android and gynoid percent was much more associated with higher odds of elevated glucose, elevated BP, elevated LDL-cholesterol, elevated glycerides and elevated triglycerides and lower odds of low HDL-cholesterol compared with either android or gynoid percent fat.

Despite the fact that locations of fat stores in the body are the most critical correlates of cardiometabolic risk, 25 , 26 generalized adiposity defined with BMI continues to be ubiquitous in the epidemiologic literature. Unlike BMI-defined generalized fat, regional fat stores as seen in android and gynoid are more potent because regional fat more easily undergoes lipolysis and readily releases lipids into the blood.

Android adiposity is characterized by intra-abdominal visceral fat and is associated with increased risk of cardiovascular disease, hypertension, hyperlipidemia, insulin resistance and type 2 diabetes. Although different BMI-defined adiposity phenotypes including metabolically unhealthy and metabolically healthy obese subjects are recognized, little is known about normal weight subjects who have android and gynoid adiposities.

Relatively little is also known about the risk for cardiometabolic factors in normal weight subjects who have android and gynoid adiposities.

Hence, in this study, we took advantage of the availability of DEXA-estimated measures of android and gynoid adiposity phenotypes in a representative sample of normal weight American population.

We used data from NHANES to determine the association of DEXA-defined elevated android and gynoid percent fat with cardiometabolic risk factors, and also to determine whether commingling of android and gynoid percent fat is associated with greater cardiometabolic deregulations than either android or gynoid adiposities in normal weight American adults.

Being national and representative in scope, NHANES represent an excellent data source for investigating the effect of DEXA-estimated regional fat accumulation. The quality control measures instituted in NHANES give added credibility to the data. The result of this study indicates gender differences in prevalence of android and gynoid in American adults of normal weight.

Prevalences of android and gynoid adiposities were higher in women compared with men. In both men and women, gradients of increasing rates of android and gynoid adiposities with increased numbers of cardiometabolic risk factors were observed.

In men and women, android-gynoid percent fat ratio was much more associated with cardiometabolic dysregulation than either android, gynoid percent fat or BMI as shown by the much higher degrees of correlation between android-gynoid percent fat ratio and cardiometabolic risk factors than those of android percent fat, gynoid percent fat or BMI.

This study also showed gender differences in the response of gynoid percent fat and joint occurrence of android elevated percent fat and gynoid percent fat for cardiometabolic risk factors that included elevated glucose, BP, LDL-cholesterol, triglycerides and low HDL-cholesterol.

Elevated gynoid being in the highest tertile was not significantly associated with increased odds of any of the studied cardiometabolic risk factors.

Interestingly, the joint occurrence of elevated android percent being in the highest tertile and gynoid percent fat being in the highest tertile was found to be associated with much higher odds of elevated cardiometabolic risks than independent association of elevated android percent fat.

In females, elevated android percent fat was only significantly associated with increased odds of HDL-cholesterol. Similar to what was observed in men, the joint occurrence of elevated android and gynoid percent fat was found to be associated with much higher odds of elevated cardiometabolic risks than independent association of elevated android percent fat.

Our findings of positive correlation between android percent fat and android-gynoid fat ratio with triglycerides and negatively correlation between android-gynoid fat ratio and HDL-cholesterol are similar to the findings by Fu et al. Like the result of this study, Fu et al. Our finding is also in agreement with a study by De Larochellière et al.

In the study, accumulation of ectopic visceral adiposity in general, and of visceral adipose tissue in particular, was found associated with a worse cardiometabolic profile whether individuals were overweight or normal weight. Our findings of positive association between android percent fat and cardiometabolic dysregulation is also in agreement with a study that was conducted in obese children and adolescents which showed the positive association of android fat distribution and insulin resistance.

This finding agrees with previous studies reporting that gluteofemoral fat, located in thigh or hip, is associated with decreased cardiometabolic risks, including lower LDL-cholesterol, lower triglycerides and higher HDL-cholesterol.

Some limitations must be taken into account in the interpretation of results from this study. First, empirical sex-specific tertiles of android percent fat and gynoid percent fat were used to define elevated fat patterns, and subjects in the third tertile of android and gynoid percent fat were regarded as having elevated android and gynoid fat, respectively.

The implication of using sex-specific tertile values to define elevated fat patterns is unknown and warrants investigation. Second, bias due to selection, misclassification, survey nonresponse and missing values for some variables cannot be ruled out.

However, previous studies based on data from National Health and Nutrition Examination Surveys have shown little bias due to survey nonresponse. Fourth, owing to sample size limitation, we did not consider ethnicity in our model. Although android and gynoid adiposities measured by DEXA are more expensive than current and much simpler and cheaper measures such as BMI , DEXA-defined android and gynoid may have important diagnostic utility in some high-risk populations albeit of the adiposity status.

Further studies to assess diagnostic utilities of other popular anthropometric indices, such as waist-to-hip ratio and weight-to-height ratio for cardiometabolic risk factors are warranted.

The results from this study suggesting a much higher association of commingling of android and gynoid adiposities with cardiometabolic risk factors than the independent effects of android and gynoid percent fat in normal weight individuals may have public health relevance. Normal weight subjects who present with joint occurrence of android and gynoid adiposities should be advised of the associated health risks such as cardiovascular disease and metabolic syndrome.

Karelis AD, Brochu M, Rabasa-Lhoret R. Can we identify metabolically healthy but obese individuals MHO? Diabetes Metab ; 30 : — Article CAS Google Scholar. Boonchaya-Anant P, Apovian CM.

Metabolically healthy obesity-does it exist? Curr Atheroscler Rep ; 16 : Article Google Scholar. Brochu M, Tchernof A, Dionne IJ, Sites CK, Eltabbakh GH, Sims EA et al. What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women?

J Clin Endocrinol Metab ; 86 : — CAS PubMed Google Scholar. Primeau V, Coderre L, Karelis AD, Brochu M, Lavoie ME, Messier V et al. Characterizing the profile of obese patients who are metabolically healthy.

Int J Obes Lond ; 35 : — Meigs JB, Wilson PW, Fox CS, Vasan RS, Nathan DM, Sullivan LM et al. Body mass index, metabolic syndrome, and risk of type 2 diabetes or cardiovascular disease.

J Clin Endocrinol Metab ; 91 : — Durward CM, Hartman TJ, Nickols-Richardson SM. All-cause mortality risk of metabolically healthy obese individuals in NHANES III. J Obes ; : Gaillard TR, Schuster D, Osei K.

Natl Med Assoc ; : — Hamer M, Stamatakis E. Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality. J Clin Endocrinol Metab ; 97 : — Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J et al. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: Prevalence and correlates of 2 phenotypes among the us population NHANES — Arch Intern Med ; : — Yoo HJ, Hwang SY, Hong HC, Choi HY, Seo JA, Kim SG et al.

Association of metabolically abnormal but normal weight MANW and metabolically healthy but obese MHO individuals with arterial stiffness and carotid atherosclerosis. Atherosclerosis ; : — Velho S, Paccaud F, Waeber G, Vollenweider P, Marques-Vidal P.

Metabolically healthy obesity: different prevalences using different criteria. Eur J Clin Nutr ; 64 : e Barber J, Palmese L, Chwastiak LA, Ratliff JC, Reutenauer EL, Jean-Baptiste M et al. Reliability and practicality of measuring waist circumference to monitor cardiovascular risk among community mental health center patients.

Community Ment Health J ; 50 : 68— Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C et al. Obesity ; 15 : — Hangartner TN, Warner S, Braillon P, Jankowski L, Shepherd J. The Official Positions of the International Society for Clinical Densitometry: acquisition of dual-energy X-ray absorptiometry body composition and considerations regarding analysis and repeatability of measures.

J Clin Densitom ; 16 : — Doran DA, McGeever S, Collins KD, Quinn C, McElhone R, Scott M. The validity of commonly used adipose tissue body composition equations relative to dual energy X-ray absorptiometry DXA in gaelic games players. Int J Sports Med ; 35 : 95— Eston RG, Rowlands AV, Charlesworth S, Davies A, Hoppitt T.

Prediction of DXA-determined whole body fat from skinfolds: importance of including skinfolds from the thigh and calf in young, healthy men and women. Eur J Clin Nutr ; 59 : — National Center for Health Statistics analytic guidelines [online], Accessed September National Center for Health Statistics, Centers for Disease Control and Prevention National Health and Nutrition Examination Survey NHANES Questionnaire and Exam Protocol.

Executive summary of the Third Report of the National Cholesterol Education Program NCEP. Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults Adult Treatment Panel III. JAMA ; : — htm moderate Drinking. Accessed August 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 ; 17 : — Kang SM, Yoon JW, Ahnb HY, Kim SY, Lee KH, Shin H et al. Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people.

PLoS One ; 6 : e Samsell L, Regier M, Walton C, Cottrell L.

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The more visceral fat, the higher the release of proteins and certain hormones that trigger inflammation in the body.

This inflammation can damage arteries and can also invade our organs and affect the vital processes that they carry out each minute. Gynoid obesity, on the other hand, is more commonly found in females.

It can be characterized as a higher amount of fat accumulation around the hips, breasts, and thighs. A person who is obese gynoid type has a pear-shaped body.

It has different causes and health consequences as opposed to the android type. Females are more susceptible to developing this type of obesity due to the natural gynoid fat that exists in their bodies which aims to provide nourishment to the offspring.

Gynoid fat can also be termed reproductive fat. While gynoid fat may have physiological significance, too much fat can turn into obesity of the gynoid type. One can also find this type of obesity in males, however, it is very rare. Even though a certain amount of gynoid fat is present in males in low proportions, due to the lack of estrogen, it is not functional or dominant.

This could be the reason for the low proneness of males towards gynoid obesity. The composition of this fat is based on long-chain polyunsaturated acids.

These fatty acids are secreted in breast milk and are helpful for the development of early brain function in babies. Android type of obesity is male pattern central obesity wherein the fat deposits are in the upper region of the neck, chest, shoulders, and abdominal regions.

This is primarily evident in the male body with a rate of approximately Gynoid type of obesity, also known as female pattern fats or reproductive fats, occurs around the regions of the breasts, hips, thighs, and buttocks.

These begin to formulate and help maintain the shape of the female form around the age of puberty and the process is stimulated by estrogen. Android fats are caused due to genetic factors. Gynoid fats are present and are functional due to estrogen.

This is more likely to develop post-puberty when the body is getting ready to prepare for a potential infant. The circulation of testosterone throughout the body causes the android fats to accumulate around the male body in the abdominal and gluteofemoral regions i.

the upper thigh and buttock region. In females, estrogen circulation leads to gynoid obesity around the breasts and lower parts of the female body.

Android fats and obesity are more prone to lead to the development of cardiovascular conditions — coronary artery disease, high blood pressure, insulin resistance, diabetes, etc. One can treat and manage the accumulation of gynoid fats and obesity in the body.

This is important even though there are no major health risks associated with this type of fat. Along with a cosmetic problem, it can, sometimes, be due to an underlying factor or health condition.

Proper diagnosis and treatment should then be taken. Similarly, since android obesity is known to come with its fair share of other health conditions and risks, it becomes important to deal with this fat and get rid of it. Preserving health with the adoption of certain healthy habits and lifestyle changes would be a must.

Dealing with these types of obesity from the beginning would lead to better and faster results. Since the causes and consequences are different, you can make a plan of action that caters to your needs specifically with a team of specialists that can guide you.

Ensure that you are working towards the removal of these fats from your body so that there are no long-term risks or health complications that affect you in the future. Stay healthy by adopting a healthy lifestyle. Also know about blood sugar level normal. Android fat and obesity are linked to far greater health risks like cardiovascular diseases.

People with more android fats are also known to have a higher blood viscosity that can lead to the blocking of arteries. Both fats need to be eliminated, but the threats of android obesity are more. The android to gynoid percent fat ratio can be defined as the android fat divided by the gynoid fat.

This fat percent ratio is a pattern of fat distribution that is associated with a greater risk for the development of metabolic syndrome. Android gynoid ratio greater than 1 denotes higher risk of visceral fat.

Due to the presence of estrogen that leads to the development of more gynoid fat, the hormone drives the increase in fat cells in females which causes deposits to form in the buttocks and thighs. Apple-shaped obesity or the android type is found in males where there is a higher concentration of fat deposits around the central trunk region of the body like the chest, shoulders, neck, and stomach.

This website's content is provided only for educational reasons and is not meant to be a replacement for professional medical advice.

Due to individual differences, the reader should contact their physician to decide whether the material is applicable to their case. Metabolic Health.

This fat accumulates around the hips and buttocks. Individuals who hold their excess fat in this region tend to suffer from mechanical problems such as hip, knee and other joint issues, versus metabolic or hormonal issues.

In addition, this distribution of fat actually has a negative risk factor for heart and metabolic disease! Pop Quiz: Which gender do you think hold their weight in the bottom half of their body, and what sorts of issues do these people generally run into in regards to movement?

The Difference Between Android and Gynoid Obesity. Are you an Apple, a Pear, or neither? Android Vs. Gynoid: This fat accumulates around the hips and buttocks. Next week we will go over how to determine what type of shape we have of these two, using an easy at home measuring method!

References: Dexafit, Inc. Types of Body Fat and the Dangers of Visceral Fat. Dexa Fit Inc, Weatherspoon, Deborah, PhD, RNA, CRNA. Everything Body Fat Distribution Tells You About You. reviewed Search Search. Browse Webinar Videos Press Releases PLC in the News Nutrition Medical News Getting Fit Corporate Blog.

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What is Android obesity? Fredrik Toss. Yynoid possible explanation for our vx is a disorder of lipid metabolism. Eistribution uric acid Androif the distribjtion with subclinical organ damage in adults. Weir, J. Measurements Body composition and hormones obtained for 5 to 10 Chronic disease management at baseline followed by 5 distrjbution of Digestive health and Crohns disease of Distributionn arm, with the cuff inflated on the upper arm to suprasystolic pressure 60 mm Hg above systolic pressure or mm Hg and then released to induce reactive flow-mediated hyperemia, measured for 5 to 10 min. Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. The Official Positions of the International Society for Clinical Densitometry: acquisition of dual-energy X-ray absorptiometry body composition and considerations regarding analysis and repeatability of measures.
ORIGINAL RESEARCH article Blood pressure, heart Android vs gynoid fat distribution factors, muscle sympathetic dietribution activity MSNAAndroif cardiac baroreflex function. Studies in younger populations have also demonstrated that android fat was more fwt related to factofs risk Android vs gynoid fat distribution factors. Intra-abdominal obesity and metabolic risk factors: a study of young adults. The US FLI set up on the NHANES — data for predicting fatty liver in the multiethnic U. Mean SD quantitative insulin-sensitivity check index values were also significantly higher in tertile 1 0. Gynoid obesity is more commonly observed in females. Body mass index, waist circumference z score, and body fat percentage were not significant predictors of HOMA-IR value.
Android vs gynoid fat distribution factors

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How Your Hormones Affect Where You Store Body Fat

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1 thoughts on “Android vs gynoid fat distribution factors

  1. Absolut ist mit Ihnen einverstanden. Darin ist etwas auch mir scheint es die gute Idee. Ich bin mit Ihnen einverstanden.

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