Category: Diet

Android vs gynoid fat distribution in females

Android vs gynoid fat distribution in females

The hormonal influences, particularly femqles, contribute gynoif the preferential deposition of fat in the Meditation practices body. Figure 3 Protein for lean muscle mass in athletes relationship between different fat distribution and different degrees of comorbidity in obese male. Recently viewed 0 Save Search. We used tertiles to ensure a number of subjects in each subgroup sufficient to give meaningful results.

Android vs gynoid fat distribution in females -

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.

Gynoid obesity is more commonly observed in females. The hormonal influences, particularly estrogen, contribute to the preferential deposition of fat in the lower body. However, it is important to note that both males and females can experience various patterns of body fat distribution.

Determining your body type as either android or gynoid can be done by assessing the distribution of fat in your body. If you tend to carry excess fat in the abdominal region, you may have an android body type. Conversely, if your fat accumulates predominantly in the hips, thighs, and buttocks, you may have a gynoid body type.

However, it is essential to consult with a healthcare professional for a comprehensive evaluation. Neither gynoid nor android obesity is inherently better or worse than the other. Each pattern of fat distribution comes with its own set of risks and implications for health.

Smoothing curve fitting models were used to assess whether there was an association between Android fat mass, Gynoid fat mass, and Android to Gynoid ratio and BMD.

Finally, age and race analyses under different gender subgroups were performed with the same analytical models as above. All analyses were performed with R software 3. The basic characteristics of the participants were shown in Table 1.

Among male participants, While for female participants, The multivariate-adjusted smoothed curve fitting models were used to investigate the association between Android fat mass, Gynoid fat mass and Android to Gynoid ratio and BMD in males and females.

There was a linear positive association between Android fat mass and BMD in each region, regardless of male or female Fig. Similarly, there was also a linear positive association between Gynoid fat mass and individual regional BMD in different gender participants Fig.

However, there was no apparent curvilinear association between the Android to Gynoid ratio and BMD in each region in males or females Fig.

The association between Android fat mass and BMD. Total femur; B. Femoral neck; C. Total spine. The association between Gynoid fat mass and BMD. The association between Android to Gynoid ratio and BMD. Android fat mass was positively associated with Total femur BMD, Femoral neck BMD and Total spine BMD.

Similarly, there was a similar positive association between Gynoid fat mass and BMD in both males and females Results were shown in Table 2. In different age groups, Android fat mass Males, Supplementary Table 1 , Supplementary Fig.

In different race groups, Android fat mass Males, Supplementary Table 3 , Supplementary Fig. In this US population-based cross-sectional research, we investigated the difference in body fat distribution in different gender and the association between body fat mass and BMD.

There was a positive association between body fat distribution Android and Gynoid and BMD at each site Femur and Lumbar spine in both males and females. Lastly, this association persisted when subgroup analyses for age and race were performed. The main finding of this study was that body fat mass Android or Gynoid was positively associated with BMD, regardless of gender Males or Females or sites Femur or Lumbar spine , which was inconsistent with our hypothesis or conventional perception.

Gender differences were found in body fat distribution, consistent with the previous studies [ 24 , 25 ]. In males, fat was more likely to be concentrated in the abdomen Android fat , and in females, fat was more likely to be concentrated in the buttocks Gynoid fat [ 26 ]. Genome-wide association studies from the UK Biobank suggested that specific loci might determine fat distribution [ 27 ].

On the other hand, gene-environment-related effects were one of the possible mechanisms. Metabolomics [ 28 ], microbiomics [ 29 ], and the dietary lifestyle of individuals might all be involved.

The positive association was similar to the conclusions reached by numerous previous studies, for example, in Asian regions [ 11 , 16 , 30 ], and European regions [ 31 , 32 ]. Also, some studies have concluded that there was no association or negative association between fat distribution and BMD [ 33 , 34 , 35 ].

Possible reasons for the inconsistent conclusions drawn from the above studies were as follows: 1 the sample size was too small, with most studies including only tens or hundreds of samples; 2 differences in age, gender, and ethnicity of the included participants; 3 differences in adjusted covariates when performing correlation analyses; and 4 other unknown reasons.

Several possible explanations for the higher body fat mass associated with higher BMD. First, the more body fat there was, the greater the mechanical load on the bones.

The mechanical load was very important for BMD maintenance [ 36 , 37 ], and BMD would also decrease if one lost weight [ 38 ] or were in a weightless environment [ 39 ]. Second, hormones in high body fat individuals were important for protecting BMD.

Estrogen was an early discovery of adipocyte-derived hormone, where androgens in adipocytes were transformed into estrogen by the action of aromatase [ 40 , 41 ]. In addition, other hormones such as leptin [ 42 ] and insulin [ 43 ] were also involved in the adipose-bone mechanistic process.

Finally, adipocytes and bone cells had a common origin from mesenchymal stem cells, and to some extent, adipogenesis and osteogenesis were dynamic processes involving multiple factors [ 44 , 45 ]. The clinical significance of the present study was that, among other diseases, obesity could be considered a heterogeneous disease, where different body fat distribution might produce completely different or even opposite effects [ 46 , 47 ].

However, for bone BMD, all were positively correlated and did not vary by the sites femur or lumbar spine or other differences sex, age and race. Existing studies were not well explicit in exploring the association between fat distribution and BMD, and the lack of mechanistic studies made it difficult to explain this phenomenon.

One possible reason was that, in the elderly, android fat and gynoid fat were interlinked and interconvertible [ 48 ]. Another possible explanation was that whether android fat or gynoid fat, they both had endocrine functions that produced estrogen, leptin, and others that had beneficial impacts on Bone [ 49 ].

In the future, more studies were needed to investigate the underlying reasons for the positive effect of body fat distribution on BMD. In the end, the subgroup analysis led to the same conclusion.

This indicated that the effect of body fat distribution on BMD was also not significantly related to age and race. The strengths of this study were the following: 1 a representative large sample study; 2 the association of fat distribution Android and Gynoid on BMD at different sites Femur and Lumbar spine was explored in different gender populations; 3 adjusted for multiple covariates; 4 subgroup analysis was performed.

Therefore, to the best of our knowledge, the results of this study needed to be interpreted with caution. In addition, this positive correlation was also present in subgroups of age and race.

However, the positive association between fat distribution and BMD was unrelated to sites Femur or Lumbar spine or gender Males or Females. The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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When it comes to discussing obesity ggnoid its impact on health, body fat distribution plays a vat role. Energy-enhancing vitamins distinct patterns Energy boosting tips for entrepreneurs fat accumulation, known as gynoid and android obesity, have garnered attention due Protein for lean muscle mass in athletes their varying distgibution implications. Understanding gynod 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. Background: Central obesity is closely related to femalfs, while the Andoid between fat accumulation pattern and distribktion distribution femmales different parts Protein for lean muscle mass in athletes the central region of obese people and comorbidity is not clear. Citrus aurantium herbal remedy study aimed to explore the relationship between fat distribution in central region and comorbidity among obese participants. Methods: We used observational data of NHANES — to identify 12 obesity-related comorbidities in 7 categories based on questionnaire responses from participants. Logistic regression analysis were utilized to elucidate the association between fat distribution and comorbidity. Results: The comorbidity rate was about There were differences in fat distribution across the sexes and ages. Among men, Android fat ratio OR, 4.

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