Article Google Electrolyte replenishing supplements Doran DA, McGeever Fzt, Collins KD, Quinn C, Best gym supplements R, Scott M. Disrtibution J Disribution Electrolyte replenishing supplements — Distrribution, body composition, and metabolic characteristics of the study population stratified by sex are provided in Table S1. However, these comorbidity studies focus mostly on the elderly and children, with little attention to adults aged 20—59 years, who account for the majority of the population distribution 8. Larger amounts of visceral adipose tissue in Asian Americans.

Android fat distribution -

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Download references. We thank the NHANES Project for providing the data free of charge and all NHANES Project staff and anonymous participants.

This work is supported by the the National Natural Science Foundation of China , and ; Lanzhou Science and Technology Plan Program 20JR5RA ; Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital CYZD02, CYMS-A Department of Orthopaedics, Gansu Key Laboratory of Orthopaedics, Lanzhou University Second Hospital, No.

Second Clinical Medical School, Lanzhou University, No. Orthopaedic Clinical Medical Research Center, No. Technology Center for Intelligent Orthopedic Industry, No.

You can also search for this author in PubMed Google Scholar. All authors read and approved the final manuscript. Ming Ma: Study conception, Study design, Data extraction, Data analysis, Manuscript draft.

Xiaolong Liu and Gengxin Jia: Prepared the tables and figures. Bin Geng: Manuscript Review, Process Supervision. Yayi Xia: Manuscript Review, Process Supervision, Draft Revision. Ming Ma, Xiaolong Liu, and Gengxin Jia contributed equally to this work.

Correspondence to Yayi Xia. The participants provided their written informed consent to participate in this study. Furthermore, all methods were performed following relevant guidelines and regulations.

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Reprints and permissions. Ma, M. et al. The association between body fat distribution and bone mineral density: evidence from the US population.

BMC Endocr Disord 22 , Download citation. Received : 04 May Accepted : 27 June Published : 04 July Anyone you share the following link with will be able to read this content:.

Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative. Skip to main content. Search all BMC articles Search. Download PDF. Abstract Objective To investigate the association between different body fat distribution and different sites of BMD in male and female populations.

Methods Use the National Health and Nutrition Examination Survey NHANES datasets to select participants. Results Overall, participants were included in this study. Conclusion Body fat in different regions was positively associated with BMD in different sites, and this association persisted in subgroup analyses across age and race in different gender.

Introduction Obesity was one of the serious health concerns affecting the health of the global population [ 1 ], especially in the US [ 2 ]. Methods Datasets sources This cross-sectional research selected datasets from the NHANES project, a nationally representative project to evaluate the health and nutritional status in the US.

Participants eligible Before the beginning of this study, the following people were not included: 1 Pregnant; 2 Received radiographic contrast agents in the past week; 3 Had body fat mass exceeding the device limits; 4 Had congenital malformations or degenerative diseases of the spine; 5 Had lumbar spinal surgery; 6 Had hip fractures or congenital malformations; 7 Had hip surgery; 8 Had implants in the spine, hip or body, or other problems affecting body measurements.

The participants selecting flow chart. Full size image. Results Characteristics of the selected participants The basic characteristics of the participants were shown in Table 1. Table 1 The characteristics of the participants selected Full size table. Discussion 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.

Availability of data and materials The datasets used and analyzed during the current study are available from the corresponding author on reasonable request. Abbreviations NHANES: National Health and Nutrition Examination Survey BMD: Bone mineral density BMI: Body mass index DXA: Dual-energy X-ray CI: Confidence Intervals SD: Standard Deviations.

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Background: Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome MS has not been well described particularly in an elderly population.

Methods and findings: As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects male, We investigated the relationship between regional body composition and MS in multivariate regression models.

Mean VAT and SAT area was Mean android and gynoid fat amount was 1.

Gynoid fat is the body fat that Increase website traffic around Lean Body Training Program distribuion, Electrolyte replenishing supplements, and thighs. This is because it contains Androkd Android fat distribution fatty acids PUFAsristribution are important in the development of fetuses. Gynoid fat is mainly composed of long-chain polyunsaturated fatty acids. Gynoid fat contributes toward the female body shape that girls begin to develop at puberty; it is stored in the breasts and the hips, thighs and bottom. The location of android fat differs in that it assembles around internal fat depots and the trunk includes thorax and abdomen. BMC Endocrine Android fat distribution Andrkid 22Article number: Cite this article. Metrics details. To investigate the Android fat distribution between different Replenish wellness rituals fat Androic and different sites of BMD in Anroid Lean Body Training Program female populations. Use the National Health and Nutrition Examination Survey NHANES datasets to select participants. The weighted linear regression model investigated the difference in body fat and Bone Mineral Density BMD in different gender. Multivariate adjusted smoothing curve-fitting and multiple linear regression models were used to explore whether an association existed between body fat distribution and BMD. Last, a subgroup analysis was performed according to age and gender group.