Models for estimating the metabolic syndrome biological age as the new index for evaluation and management of metabolic syndrome

References

• ReavenGMRole of insulin resistance in human diseaseDiabetes19883712159516073056758
   PubMed Web of Science ®Google Scholar
• McNeillAMRosamondWDGirmanCJThe metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities studyDiabetes Care200528238539015677797
   PubMed Web of Science ®Google Scholar
• IsomaaBAlmgrenPTuomiTCardiovascular morbidity and mortality associated with the metabolic syndromeDiabetes Care200124468368911315831
   PubMed Web of Science ®Google Scholar
• GrundySMCleemanJIDanielsSRDiagnosis and management of the metabolic syndrome an American Heart Association/National Heart, Lung, and Blood Institute scientific statementCirculation2005112172735275216157765
   PubMed Web of Science ®Google Scholar
• WhayneTFJrMetabolic syndrome, peripheral vascular disease and coronary artery disease: a concise reviewInt J Angiol2010193e96e9922477621
   PubMedGoogle Scholar
• StoneNJSaxonDApproach to treatment of the patient with metabolic syndrome: lifestyle therapyAm J Cardiol20059641521
   Web of Science ®Google Scholar
• BestermannWHoustonMCBasileJAddressing the global cardiovascular risk of hypertension, dyslipidemia, diabetes mellitus, and the metabolic syndrome in the southeastern United States, part II: treatment recommendations for management of the global cardiovascular risk of hypertension, dyslipidemia, diabetes mellitus, and the metabolic syndromeAm J Med Sci2005329629230515958871
   PubMed Web of Science ®Google Scholar
• VogeliCShieldsAELeeTAMultiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costsJ Gen Intern Med200722339139518026807
   PubMed Web of Science ®Google Scholar
• KohroTFuruiYMitsutakeNThe Japanese national health screening and intervention program aimed at preventing worsening of the metabolic syndromeInt Heart J200849219320318475019
   PubMed Web of Science ®Google Scholar
• ParkSYYangYJKimYEffects of nutrition education using a ubiquitous healthcare (u-Health) service on metabolic syndrome in male workersKorean J Nutr2011443231242
   Google Scholar
• IngramDKNakamuraESmucnyDRothGSLaneMAStrategy for identifying biomarkers of aging in long-lived speciesExp Gerontol20013671025103411404048
   PubMed Web of Science ®Google Scholar
• BorkanGANorrisAHAssessment of biological age using a profile of physical parametersJ Gerontol19803521771846967883
   PubMedGoogle Scholar
• FinkelDWhitfieldKMcGueMGenetic and environmental influences on functional age: a twin studyJ Gerontol B Psychol Sci Soc Sci1995502P104P1137757832
   PubMed Web of Science ®Google Scholar
• BaeCYKangYGSuhYSHanJHKimSSShimKWA model for estimating body shape biological age based on clinical parameters associated with body compositionClin Interv Aging20138111823293513
   PubMed Web of Science ®Google Scholar
• BaeCYKangYGPiaoMHModels for estimating the biological age of five organs using clinical biomarkers that are commonly measured in clinical practice settingsMaturitas201375325326023642770
   PubMed Web of Science ®Google Scholar
• BaeCYKangYGKimSDevelopment of models for predicting biological age (BA) with physical, biochemical, and hormonal parametersArch Gerontol Geriatr200847225326517889950
   PubMed Web of Science ®Google Scholar
• DubinaTLMintsAYZhukEVBiological age and its estimation. III. Introduction of a correction to the multiple regression model of biological age and assessment of biological age in cross-sectional and longitudinal studiesExp Gerontol19841921331436610563
   PubMed Web of Science ®Google Scholar
• StaessenJAFagardRThijsLRandomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertensionLancet199735090807577649297994
   PubMed Web of Science ®Google Scholar
• KwonHSParkYMLeeHJPrevalence and clinical characteristics of the metabolic syndrome in middle-aged Korean adultsKorean J Intern Med200520431031616491829
   PubMedGoogle Scholar
• FordESGilesWHDietzWHPrevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination SurveyJAMA2002287335635911790215
   PubMed Web of Science ®Google Scholar
• ParkHSLeeSYKimSMHanJHKimDJPrevalence of the metabolic syndrome among Korean adults according to the criteria of the International Diabetes FederationDiabetes care200629493393416567843
   PubMed Web of Science ®Google Scholar
• FordESGilesWHMokdadAHIncreasing prevalence of the metabolic syndrome among US adultsDiabetes Care200427102444244915451914
   PubMed Web of Science ®Google Scholar
• LaaksonenDENiskanenLPunnonenKTestosterone and sex hormone–binding globulin predict the metabolic syndrome and diabetes in middle-aged menDiabetes Care20042751036104115111517
   PubMed Web of Science ®Google Scholar
• CarrMCThe emergence of the metabolic syndrome with menopauseJ Clin Endocrinol Metab20038862404241112788835
   PubMed Web of Science ®Google Scholar
• KarasikDDemissieSCupplesLAKielDPDisentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measuresJ Gerontol A Biol Sci Med Sci200560557458715972604
   PubMed Web of Science ®Google Scholar
• BorkanGANorrisAHBiological age in adulthood: comparison of active and inactive US malesHum Biol19805247878026970713
   PubMed Web of Science ®Google Scholar
• IngramDKKey questions in developing biomarkers of agingExp Gerontol19882344294343058496
   PubMed Web of Science ®Google Scholar
• ColburnWDeGruttolaVGDeMetsDLBiomarkers and surrogate endpoints: preferred definitions and conceptual framework. Biomarkers Definitions Working GroupClin Pharmacol Ther2001693899511240971
   PubMed Web of Science ®Google Scholar
• PouliotMCDesprésJPLemieuxSWaist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and womenAm J Cardiol19947374604688141087
   PubMed Web of Science ®Google Scholar
• PerryACApplegateEBAllisonMLMillerPCSignorileJFRelation between anthropometric measures of fat distribution and cardiovascular risk factors in overweight pre-and postmenopausal womenAm J Clin Nutr19976648298369322557
   PubMed Web of Science ®Google Scholar
• WeiMGaskillSPHaffnerSMSternMPWaist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans – a 7-year prospective studyObesity Res1997511623
   Google Scholar
• KimSKimSYoonSWhat is the best simple anthropometric indexes of abdominal visceral fat in obese patientsKorean J Obes19987157168
   Google Scholar
• MaisonPByrneCDHalesCNDayNEWarehamNJDo different dimensions of the metabolic syndrome change together over time? Evidence supporting obesity as the central featureDiabetes Care200124101758176311574438
   PubMed Web of Science ®Google Scholar
• EversonSAGlodbergDEHelmrichSPWeight gain and the risk of developing insulin resistance syndromeDiabetes Care19982110163716439773723
   PubMed Web of Science ®Google Scholar
• IzzoJLJrLevyDBlackHRClinical Advisory Statement. Importance of systolic blood pressure in older AmericansHypertension20003551021102410818056
   PubMed Web of Science ®Google Scholar
• StamlerJNeatonJDWentworthDNBlood pressure (systolic and diastolic) and risk of fatal coronary heart diseaseHypertension1989135 SupplI2I122490825
   PubMedGoogle Scholar
• GroupSCRPrevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension Final results of the Systolic Hypertension in the Elderly Program (SHEP)JAMA199126524325532642046107
   PubMed Web of Science ®Google Scholar
• FranklinSSGustinW4thWongNDHemodynamic patterns of age-related changes in blood pressure. The Framingham Heart StudyCirculation19979613083159236450
   PubMed Web of Science ®Google Scholar
• MalikSWongNDFranklinSSImpact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adultsCirculation2004110101245125015326067
   PubMed Web of Science ®Google Scholar
• HuntKJResendezRGWilliamsKHaffnerSMSternMPNational cholesterol education program versus World Health Organization metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart StudyCirculation2004110101251125715326061
   PubMed Web of Science ®Google Scholar
• CrimminsEVasunilashornSKimJKAlleyDBiomarkers related to aging in human populationsAdv Clin Chem20084616121619004190
   PubMed Web of Science ®Google Scholar
• OlefskyJMFarquharJWReavenGMReappraisal of the role of insulin in hypertriglyceridemiaAm J Med19745745515604372881
   PubMed Web of Science ®Google Scholar
• GargAInsulin resistance in the pathogenesis of dyslipidemiaDiab Care1996194387389
   Web of Science ®Google Scholar
• HaffnerSMPre-diabetes, insulin resistance, inflammation and CVD riskDiabetes Res Clin Pract200361Suppl 1S9S1812880690
   PubMed Web of Science ®Google Scholar
• KarelisADSt-PierreDHConusFRabasa-LhoretRPoehlmanETMetabolic and body composition factors in subgroups of obesity: what do we know?J Clin Endocrinol Metab20048962569257515181025
   PubMed Web of Science ®Google Scholar
• VickersAJBaschEKattanMWAgainst diagnosisAnn Internal Med2008149320020318678847
   PubMed Web of Science ®Google Scholar
• NakamuraEKimuraMNagataHMiyaoKOzekiTEvaluation of the progress of aging based on specific biological age as estimated by various physiological functions (author’s transl)Nihon Eiseigaku Zasshi1982366853862 Japanese7087248
   PubMedGoogle Scholar