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Waist-to-hip ratio and immune function

Waist-to-hip ratio and immune function

The use, distribution Waist-to-hip ratio and immune function reproduction in other forums is permitted, provided Waisg-to-hip original Wait-to-hip s and the Liver support health owner s are Waist-to-hip ratio and immune function and that the original publication in this journal is cited, in accordance with accepted academic practice. Zeyda M, Huber J, Prager G, Stulnig TM. Next to the study from China mentioned above [ 22 ], several other studies have found positive associations between obesity and blood HGF levels as well [ 34353637 ].

Waist-to-hip ratio and immune function -

Very high amounts of subcutaneous fat can increase the risk of disease, though not as significantly as visceral fat. Having a lot of visceral fat is linked with a higher risk of cardiovascular disease, diabetes, and certain cancers.

It may secrete inflammatory chemicals called cytokines that promote insulin resistance. How do I get rid of belly fat? Losing weight can help, though people tend to lose weight pretty uniformly throughout the body rather than in one place. However, a long-term commitment to following exercise guidelines along with eating balanced portion-controlled meals can help to reduce dangerous visceral fat.

Also effective is avoiding sugary beverages that are strongly associated with excessive weight gain in children and adults.

Bioelectric Impedance BIA BIA equipment sends a small, imperceptible, safe electric current through the body, measuring the resistance. Underwater Weighing Densitometry or Hydrostatic Weighing Individuals are weighed on dry land and then again while submerged in a water tank.

Air-Displacement Plethysmography This method uses a similar principle to underwater weighing but can be done in the air instead of in water. Dilution Method Hydrometry Individuals drink isotope-labeled water and give body fluid samples.

Dual Energy X-ray Absorptiometry DEXA X-ray beams pass through different body tissues at different rates. Computerized Tomography CT and Magnetic Resonance Imaging MRI These two imaging techniques are now considered to be the most accurate methods for measuring tissue, organ, and whole-body fat mass as well as lean muscle mass and bone mass.

Is it healthier to carry excess weight than being too thin? References Centers for Disease Control and Prevention. Adult obesity facts. Guerreiro VA, Carvalho D, Freitas P. Obesity, Adipose Tissue, and Inflammation Answered in Questions. Journal of Obesity. Lustig RH, Collier D, Kassotis C, Roepke TA, Kim MJ, Blanc E, Barouki R, Bansal A, Cave MC, Chatterjee S, Choudhury M.

Obesity I: Overview and molecular and biochemical mechanisms. Biochemical Pharmacology. Centers for Disease Control and Prevention. Body Mass Index: Considerations for practitioners. Kesztyüs D, Lampl J, Kesztyüs T. The weight problem: overview of the most common concepts for body mass and fat distribution and critical consideration of their usefulness for risk assessment and practice.

International Journal of Environmental Research and Public Health. World Health Organization. Body mass index — BMI. Berrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, Moore SC, Tobias GS, Anton-Culver H, Freeman LB, Beeson WL.

Body-mass index and mortality among 1. New England Journal of Medicine. Di Angelantonio E, Bhupathiraju SN, Wormser D, Gao P, Kaptoge S, de Gonzalez AB, Cairns BJ, Huxley R, Jackson CL, Joshy G, Lewington S.

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Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Zhang X, Shu XO, Yang G, Li H, Cai H, Gao YT, Zheng W. Abdominal adiposity and mortality in Chinese women. Archives of internal medicine.

Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults—The Evidence Report. National Institutes of Health. Obesity Research.

Willett WC, Dietz WH, Colditz GA. Guidelines for healthy weight. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation.

Gevenva, , December Ashwell M, Gibson S. BMJ open. Moosaie F, Abhari SM, Deravi N, Behnagh AK, Esteghamati S, Firouzabadi FD, Rabizadeh S, Nakhjavani M, Esteghamati A. Waist-to-height ratio is a more accurate tool for predicting hypertension than waist-to-hip circumference and BMI in patients with type 2 diabetes: A prospective study.

Frontiers in Public Health. Measurements of Adiposity and Body Composition. In: Hu F, ed. Obesity Epidemiology. Br Med J Clin Res Ed. Seidell JC, Björntorp P, Sjöström L, Sannerstedt R, Krotkiewski M, Kvist H. Regional distribution of muscle and fat mass in men—new insight into the risk of abdominal obesity using computed tomography.

Int J Obes. PubMed Google Scholar. Obesity and the risk of myocardial infarction in 27, participants from 52 countries: a case-control study.

Vazquez G, Duval S, Jacobs DR Jr, Silventoinen K. Epidemiol Rev. Han TS, Bijnen FC, Lean ME, Seidell JC. Separate associations of waist and hip circumference with lifestyle factors. Int J Epidemiol. Smith GD, Ebrahim S. Bowden J, Davey Smith G, Haycock PC, Burgess S.

Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. Nikpay M, Goel A, Won HH, et al; CARDIoGRAMplusC4D Consortium.

A comprehensive 1, genomes-based genome-wide association meta-analysis of coronary artery disease. Nat Genet. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. Morris AP, Voight BF, Teslovich TM, et al; Wellcome Trust Case Control Consortium; Meta-Analyses of Glucose and Insulin-related traits Consortium MAGIC Investigators; Genetic Investigation of ANthropometric Traits GIANT Consortium; Asian Genetic Epidemiology Network—Type 2 Diabetes AGEN-T2D Consortium; South Asian Type 2 Diabetes SAT2D Consortium; DIAbetes Genetics Replication And Meta-analysis DIAGRAM Consortium.

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. New genetic loci link adipose and insulin biology to body fat distribution.

Genetic studies of body mass index yield new insights for obesity biology. Willer CJ, Schmidt EM, Sengupta S, et al; Global Lipids Genetics Consortium.

Discovery and refinement of loci associated with lipid levels. Scott RA, Lagou V, Welch RP, et al; DIAbetes Genetics Replication and Meta-analysis DIAGRAM Consortium. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.

Stitziel NO, Stirrups KE, Masca NG, et al; Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators. Coding Variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease.

N Engl J Med. Ehret GB, Munroe PB, Rice KM, et al; International Consortium for Blood Pressure Genome-Wide Association Studies; CARDIoGRAM Consortium; CKDGen Consortium; KidneyGen Consortium; EchoGen Consortium; CHARGE-HF Consortium. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

Moffatt MF, Gut IG, Demenais F, et al; GABRIEL Consortium. A large-scale, consortium-based genomewide association study of asthma.

Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data.

Stock JH, Wright JH, Yogo M. A survey of weak instruments and weak identification in generalized method of moments. J Bus Econ Stat. Google Scholar Crossref. Voight BF, Peloso GM, Orho-Melander M, et al.

Plasma HDL cholesterol and risk of myocardial infarction: a Mendelian randomisation study. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D.

Principal components analysis corrects for stratification in genome-wide association studies. Burgess S, Davies NM, Thompson SG; EPIC-InterAct Consortium.

Instrumental variable analysis with a nonlinear exposure-outcome relationship. Do R, Willer CJ, Schmidt EM, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease.

Nordestgaard BG, Varbo A. Triglycerides and cardiovascular disease. Gupta M, Singh N, Verma S. South Asians and cardiovascular risk: what clinicians should know. Barrett-Connor E. Sex differences in coronary heart disease: why are women so superior?

the Ancel Keys Lecture. Rodgers RJ, Tschöp MH, Wilding JPH. Anti-obesity drugs: past, present and future. Dis Model Mech.

Pierce BL, Ahsan H, Vanderweele TJ. Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. von Hinke S, Davey Smith G, Lawlor DA, Propper C, Windmeijer F.

Genetic markers as instrumental variables. J Health Econ. Mendelian Randomization and Clinical Practice and Public Health. George Davey Smith, MD, DSc; Lavinia Paternoster, PhD; Caroline Relton, PhD. Connor A. Emdin, DPhil; Amit V. Khera, MD; Sekar Kathiresan, MD. JAMA Genomics Website.

See More About Genetics and Genomics Diabetes Diabetes and Endocrinology Cardiology Ischemic Heart Disease Obesity. Select Your Interests Select Your Interests Customize your JAMA Network experience by selecting one or more topics from the list below.

Save Preferences. Privacy Policy Terms of Use. This Issue. Views 28, Citations View Metrics. X Facebook More LinkedIn. Cite This Citation Emdin CA , Khera AV , Natarajan P, et al. Original Investigation. February 14, Emdin, DPhil 1,2 ; Amit V. Khera, MD 1,2 ; Pradeep Natarajan, MD 1,2 ; et al Derek Klarin, MD 1,2 ; Seyedeh M.

Zekavat, BSc 1,2 ; Allan J. Hsiao, MPhil 3 ; Sekar Kathiresan, MD 1,2. Author Affiliations Article Information 1 Center for Genomic Medicine and Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston.

visual abstract icon Visual Abstract. Key Points Question Is genetic evidence consistent with a causal relationship among waist-to-hip ratio adjusted for body mass index a measure of abdominal adiposity , type 2 diabetes, and coronary heart disease?

Study Design and Instruments. Data Sources and Study Participants. Statistical Analysis. Mediation Analysis. Back to top Article Information.

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The result immuhe patients could Functoon more precise Cellulite reduction treatments at home around body shape fat distribution to funcion a drop in disease burden and Waist-to-hip ratio and immune function mortality in andd people. He presented an abstract on the research at the 8th annual meeting of the European Association for the Study of Diabetes EASD in Stockholm, Sweden this week. Paré notes:. We need additional tools to understand relationships between adiposity and health outcomes. This is where genetics comes in handy. New research shows little Enhances overall gut wellbeing of infection immume prostate biopsies. Discrimination at work ratiio linked to high Waist-to-hip ratio and immune function pressure. Icy fingers rratio toes: Waist-to-hip ratio and immune function circulation or Raynaud's phenomenon? A person's waist-to-hip ratio may be a better tool than body mass index BMI for predicting chronic health problems, according to a study published online Sept. Waist-to-hip ratio is the circumference of your waist divided by the circumference at your hips. Waist-to-hip ratio and immune function

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