Abstract
Adult-onset type 2 diabetes is a late outcome of metabolic and inflammatory processes that predate glucose level elevation by many years. The negative effects of these processes on the health of older adults are enhanced by the inter-relationship of these processes with those associated with “aging”. Insulin resistance occurs prior to the elevated serum glucose levels that define diabetes. Obesity is the primary factor that leads to insulin resistance. The pre-diabetic insulin-resistant condition can have serious cardiovascular consequences, including subclinical or clinical cardiovascular disease and cardiovascular autonomic dysfunction. It can also have serious non-cardiovascular consequences, such as renal disease, cognitive decline, impaired mobility, frailty, interference with circadian rhythms, sleep apnea, bone disease and liver disease. Methods for attenuating the rise in glucose levels in those who have insulin resistance include pharmacological interventions and lifestyle change. Lifestyle changes include weight reduction and increased physical activity, which can be effective even in those with a genetic predisposition to diabetes and can ameliorate the decreased insulin sensitivity that is associated with aging.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- ACEi:
-
Angiotensin Converting Enzyme Inhibitor
- AGE:
-
Advanced Glycation Endproduct
- ARB:
-
Angiotensin Receptor Blockers
- ARIC:
-
Atherosclerosis Risk in Communities
- ATPIII:
-
Adult Treatment Panel III
- BP:
-
Blood Pressure
- CHD:
-
Coronary Heart Disease
- CHF:
-
Congestive Heart Failure
- CHS:
-
Cardiovascular Health Study
- CI:
-
Confidence Interval
- CRP:
-
C-Reactive Protein
- CVD:
-
Cardiovascular Disease
- DPP:
-
Diabetes Prevention Program
- DREAM:
-
Diabetes Reduction Assessment with Ramipril and Rosiglitazone Medication
- ECG:
-
Electrocardiogram
- FFA:
-
Free Fatty Acid
- GDM:
-
Gestational Diabetes Mellitus
- HOPE:
-
Heart Outcomes Prevention Evaluation
- HR:
-
Hazard Ratio
- HRV:
-
Heart Rate Variation
- ICAM:
-
Intercellular Adhesion Molecule
- IFG:
-
Impaired Fasting Glucose
- IGT:
-
Impaired Glucose Tolerance
- IL-6:
-
Interleukin-6
- JAK-STAT:
-
Janus Kinase-Signal Transducer and Activator of Transcription
- MetS:
-
Metabolic Syndrome
- MMP:
-
Matrix Metalloproteinases
- NADPH:
-
Nicotinamide Adenine Dinucleotide Phosphate
- NAFLD:
-
Non-Alcoholic Fatty Liver Disease
- NASH:
-
Non-Alcoholic Steato-Hepatitis
- NAVIGATOR:
-
Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research
- NEFA:
-
Non-Esterified Fatty Acids
- NHANES:
-
National Health and Nutrition Examination Surveys
- NNT:
-
Number Needed to Treat
- ONTARGET:
-
Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial
- OR:
-
Odds Ratio
- OSA:
-
Obstructive Sleep Apnea
- p38-MAPK:
-
p38-Mitogen-Activated Protein Kinases
- PAI-1:
-
Plasminogen Activator Inhibitor type-1
- RAS:
-
Renin Angiotensin System
- RR:
-
Risk Ratio
- TNFα:
-
Tumor Necrosis Factor Alpha
- TRANSCEND:
-
Telmisartan Randomized Assessment Study in Ace Intolerant Subjects with Cardiovascular Disease
- US:
-
United States
- VCAM:
-
Vascular Cell Adhesion Molecules
- VEGF:
-
Vascular Endothelial Growth Factor
- VSMC:
-
Vascular Smooth Muscle Cell
References
Fried LP, Borhani NO, Enright P et al (1991) The cardiovascular health study: design and rationale. Ann Epidemiol 1:263–276
Biggs ML, Mukamal KJ, Luchsinger JA et al (2010) Association between adiposity in midlife and older age and risk of diabetes in older age. JAMA 303:2504–2512
Wildman RP, Muntner P, Reynolds K et al (2008) 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 1999-2004). Arch Intern Med 168:1617–1624
DeFronzo RA (2004) Pathogenesis of type 2 diabetes mellitus. Med Clin North Am 88:787–835
Grundy SM (2006) Drug therapy of the metabolic syndrome: minimizing the emerging crisis in polypharmacy. Nat Rev Drug Discov 5(4):295–309
National Hearth Lung and Blood Institute (2002) Third report of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults. The National Hearth Lung and Blood Institute: People Science Health web site. http://www.nhlbi.nih.gov/guidelines/cholesterol/atp3xsum.pdf. Accessed 27 Mar 2012
Meigs JB (2000) Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors. Am J Epidemiol 152:908–911
Sakkinen PA, Wahl P, Cushman M et al (2000) Clustering of procoagulation, inflammation, and fibrinolysis variables with metabolic factors in insulin resistance syndrome. Am J Epidemiol 152:897–907
Haffner SM (2006) The metabolic syndrome: inflammation, diabetes mellitus, and cardiovascular disease. Am J Cardiol 97:3A–11A
McNeill AM, Katz R, Girman CJ et al (2006) Metabolic syndrome and cardiovascular disease in the elderly. The Cardiovascular Health Study. J Am Geriatr Soc 54:1317–1324
Ginsburg HN, MacCallum PR (2009) The obesity, metabolic syndrome, and type 2 diabetes mellitus pandemic: Part 1. Increased cardiovascular disease risk and the importance of atherogenic dyslipidemia in persons with the metabolic syndrome and type 2 diabetes mellitus. J Cardiometab Syndr 4:113–119
Baron AD (2002) Insulin resistance and vascular function. J Diabetes Complications 16:92–102
Lee HY, Oh BH (2010) Aging and arterial stiffness. Circ J 74:2257–2262
Taniyama Y, Griendling KK (2003) Reactive oxygen species in the vasculature: molecular and cellular mechanisms. Hypertension 42:1075–1081
Tesfamariam B (1994) Free radicals in diabetic endothelial cell dysfunction. Free Radic Biol Med 16:383–391
Barzilay JI, Spiekerman CF, Kuller LH et al (2001) Prevalence of clinical and isolated subclinical cardiovascular disease in older adults with glucose disorders. The Cardiovascular Health Study. Diabetes Care 24:1233–1239
Folsom AR, Eckfeldt JH, Weitzman S et al (1994) Relation of carotid artery wall thickness to diabetes mellitus, fasting glucose and insulin, body size, and physical activity. Atherosclerosis Risk in Communities (ARIC) Study Investigators. Stroke 25:66–73
Kuller LH, Velentgas P, Barzilay J et al (2000) Diabetes mellitus: subclinical cardiovascular disease and risk of incident cardiovascular disease and all-cause mortality. Arterioscler Thromb Vasc Biol 20:823–829
Barzilay JI, Spiekerman CF, Wahl PW et al (1999) Cardiovascular disease in older adults with glucose disorders: comparison of American Diabetes Association criteria for diabetes mellitus with WHO criteria. Lancet 354:622–625
Kleiger RE, Stein PK, Bigger JT (2005) Heart rate variability: measurement and clinical utility. Ann Noninvasive Electrocardiol 10:1–14
Stein PK, Barzilay JI (2011) Relationship of abnormal heart rate turbulence and elevated crp to cardiac mortality in low, intermediate, and high-risk older adults. J Cardiovasc Electrophysiol 22:122–127
Denys K, Cankurtaran M, Janssens W et al (2009) Metabolic syndrome in the elderly: an overview of the evidence. Acta Clin Belg 64:23–34
Stein PK, Barzilay JI, Domitrovich PP et al (2007) The relationship of heart rate and heart rate variability to non-diabetic fasting glucose levels and the metabolic syndrome: the Cardiovascular Health Study. Diabet Med 24:855–863
Garg AX, Kiberd BA, Clark WF et al (2002) Albuminuria and renal insufficiency prevalence guides population screening: results from NHANES III. Kidney Int 61:2165–2175
Chen J, Muntner P, Hamm LL et al (2004) The metabolic syndrome and chronic kidney disease in U.S. adults. Ann Intern Med 140:167–174
Barzilay JI, Peterson D, Cushman M et al (2004) The relationship of cardiovascular risk factors to microalbuminuria in older adults with or without diabetes mellitus or hypertension: the Cardiovascular Health Study. Am J Kidney Dis 44:25–34
Cao JJ, Biggs MJ, Barzilay J et al (2008) Cardiovascular and mortality risk prediction and stratification using urinary albumin excretion in older adults, ages 65–102; The Cardiovascular Health Study. Atherosclerosis 197:806–813
Farkas E, Luiten PGM (2001) Cerebral microvascular pathology in aging and Alzheimer’s disease. Prog Neurobiol 64:575–611
Fioretto P, Steffes MW, Brown DM et al (1992) An overview of renal pathology in insulin-dependent diabetes mellitus in relationship to altered glomerular hemodynamics. Am J Kidney Dis 20:549–558
Barzilay JI, Fitzpatrick A, Luchsinger J et al (2008) Albuminuria and dementia in the elderly: a community study. Am J Kidney Dis 52:216–226
Barzilay JI, Gao P, O’Donnell M et al (2011) Albuminuria and decline in cognitive function: the ONTARGET/TRANSCEND studies. Arch Intern Med 171:142–150
Desmond DW, Moroney JT, Sano M et al (2002) Incidence of dementia after ischemic stroke: results of a longitudinal study. Stroke 33:2254–2260
Longstreth WT Jr, Bernick C, Manolio TA et al (1998) Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people: the Cardiovascular Health Study. Arch Neurol 55:1217–1225
DeCarli C, Massaro J, Harvey D et al (2005) Measures of brain morphology and infarction in the Framingham heart study: establishing what is normal. Neurobiol Aging 26:491–510
Longstreth WT Jr, Dulberg C, Manolio TA et al (2002) Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 33:2376–2382
Vermeer SE, Den Heijer T, Koudstaal PJ et al (2003) Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study. Stroke 34:392–396
Frisardi V, Solfrizzi V, Seripa D et al (2010) Metabolic-cognitive syndrome: a cross-talk between metabolic syndrome and Alzheimer’s disease. Ageing Res Rev 9:399–417
Cavalieri M, Ropele S, Petrovic K et al (2010) Metabolic syndrome, brain magnetic resonance imaging, and cognition. Diabetes Care 33:2489–2495
Dik MG, Jonker C, Comijs HC et al (2007) Contribution of metabolic syndrome components to cognition in older individuals. Diabetes Care 30:2655–2660
Solfrizzi V, Scafato E, Capurso C et al (2010) Metabolic syndrome and the risk of vascular dementia: the Italian longitudinal study on ageing. J Neurol Neurosurg Psychiatry 81:433–440
Abbatecola AM, Paolisso G, Lamponi M et al (2004) Insulin resistance and executive dysfunction in older persons. J Am Geriatr Soc 52:1713–1718
van Oijen M, Okereke OI, Kang JH et al (2008) Fasting insulin levels and cognitive decline in older women without diabetes. Neuroepidemiology 30:174–179
Rasgon NL, Kenna HA, Wroolie TE et al (2009) Insulin resistance and hippocampal volume in women at risk for Alzheimer’s disease. Neurobiol Aging 32(11):1942–1948
Tournot J, Lee DM, Pendleton N et al (2010) Association of cognitive performance with the metabolic syndrome and with glycaemia in middle-aged and older European men: the European male ageing study. Diabetes Metab Res Rev 26:668–676
Launer LJ, Masaki K, Petrovitch H et al (1995) The association between midlife blood pressure levels and late-life cognitive function. The Honolulu-Asia Aging Study. JAMA 274:1846–1851
Duron E, Hanon O (2008) Hypertension, cognitive decline and dementia. Arch Cardiovasc Dis 101:181–189
Lopez OL, Jagust WJ, Dulberg C et al (2003) Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 2. Arch Neurol 60:1394–1399
Reitz C, Tang M-X, Manly J et al (2007) Hypertension and the risk of mild cognitive impairment. Arch Neurol 64:1734–1740
Cesari M, Pahor M, Lauretani F et al (2009) Skeletal muscle and mortality results from the InCHIANTI Study. J Gerontol A Biol Sci Med Sci 64:377–384
Visser M, Langlois J, Guralnik JM et al (1998) High body fatness, but not low fat-free mass, predicts disability in older men and women: the Cardiovascular Health Study. Am J Clin Nutr 68:584–590
Stenholm S, Koster A, Alley DE et al (2010) Joint association of obesity and metabolic syndrome with incident mobility limitation in older men and women–results from the Health, Aging, and Body Composition Study. J Gerontol A Biol Sci Med Sci 65:84–92
Fried LP, Xue QL, Cappola AR et al (2009) Nonlinear multisystem physiological dysregulation associated with frailty in older women: implications for etiology and treatment. J Gerontol A Biol Sci Med Sci 64:1049–1057
Bortz WM II (2002) A conceptual framework for frailty: a review. J Gerontol A Biol Sci Med Sci 57:M283–M288
Walston J, McBurnie MA, Newman A et al (2002) Frailty and activation of the inflammation and coagulation systems with and without clinical comorbidities. Results from the Cardiovascular Health Study. Arch Intern Med 162:2333–2341
Barzilay JI, Blaum C, Moore T et al (2007) Insulin resistance and inflammation as precursors of frailty: the Cardiovascular Health Study. Arch Intern Med 167:635–641
Scheer FA, Hilton MF, Mantzoros CS et al (2009) Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci U S A 106:4453–4458
Green CB, Takahashi JS, Bass J (2008) The meter of metabolism. Cell 134:728–742
Maury E, Ramsey KM, Bass J (2010) Circadian rhythms and metabolic syndrome. From experimental genetics to human disease. Circ Res 106:447–462
Gibson EM, Williams WP, Kriegsfeld LJ (2009) Aging in the circadian system: considerations for health, disease prevention, and longevity. Exp Gerontol 44:51–56
Punjabi NM, Shahar E, Redline S et al (2004) Sleep-disordered breathing, glucose intolerance, and insulin resistance: the Sleep Heart Health Study. Am J Epidemiol 160:521–530
Seicean S, Kirchner HL, Gottlieb DJ et al (2008) Sleep-disordered breathing and impaired glucose metabolism in normal-weight and overweight/obese individuals: the Sleep Heart Health Study. Diabetes Care 31(5):1001–1006
Kinjo M, Setoguchi S, Solomon DH (2007) Bone mineral density in adults with the metabolic syndrome: analysis of a population-based U.S. sample. J Clin Endocrinol Metab 92:4161–4164
Von Muhlen D, Safii S, Jassal SK et al (2007) Associations between the metabolic syndrome and bone health in older men and women: the Rancho Bernardo Study. Osteoporos Int 18:1337–1344
Yaturu S, Humphrey S, Landry C et al (2009) Decreased bone mineral density in men with the metabolic syndrome alone and with type 2 diabetes. Med Sci Monit 15:CR5–CR9
Ahmed LA, Schirmer H, Berntsen GK et al (2006) Features of the metabolic syndrome and risk of non-vertebral fractures: the TromsØ Study. Osteoporos Int 17:426–432
Kim HY, Choe JW, Kim HK et al (2010) Negative association between metabolic syndrome and bone mineral density in Koreans, especially men. Calcif Tisse Int 86:350–358
Tseng YH, Huang KC, Liu ML et al (2009) Association between metabolic syndrome (MS) and bone mineral loss: a cross-sectional study in Puli Township in Taiwan. Arch Gerontol Geriatr 49(suppl 2):S37–S40
Silverman JF, O’Brien KF, Long S et al (1990) Liver pathology in morbidly obese patients with and without diabetes. Am J Gastroenterol 85:1349–1355
Cortez-Pinto H, Baptista A, Camilo ME et al (2003) Nonalcoholic steatohepatitis–a long-term follow-up study: comparison with alcoholic hepatitis in ambulatory and hospitalized patients. Dig Dis Sci 48:1909–1913
Clark JM, Brancati FL, Diehl AM (2003) The prevalence and etiology of elevated aminotransferase levels in the United States. Am J Gastroenterol 98:960–967
Bellentani S, Bedogni G, Miglioli L et al (2004) The epidemiology of fatty liver. Eur J Gastroenterol Hepatol 16:1087–1093
Szczepaniak LS, Nurenberg P, Leonard D et al (2005) Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 288:E462–E468
Krawczyk M, Bonfrate L, Portincasa P (2010) Nonalcoholic fatty liver disease. Best Pract Res Clin Gastroenterol 24:695–708
Curtis LH, Hammill BG, Bethel MA et al (2007) Costs of the metabolic syndrome in elderly individuals: findings from the Cardiovascular Health Study. Diabetes Care 30:2553–2558
The DREAM Trial Investigators (2006) Effect of ramipril on the incidence of diabetes. N Engl J Med 355:1551–1562
DREAM (Diabetes REduction Assessment with ramipril and rosiglitazone Medication) Trial Investigators, Gerstein HC, Yusuf S et al (2006) Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose tolerance or impaired fasting glucose: a randomised controlled trial. Lancet 368(9541):1096–1105
DREAM On (Diabetes Reduction Assessment with Ramipril and Rosiglitazone Medication Ongoing Follow-up) Investigators, Gerstein HC, Mohan V et al (2011) Long-term effect of rosiglitazone and/or ramipril on the incidence of diabetes. Diabetologia 54:487–495
Crandall JP, Knowler WC, Kahn SE et al (2008) The prevention of type 2 diabetes. Nat Clin Pract Endocrinol Metab 4:382–393
Elliott WJ, Meyer PM (2007) Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. Lancet 369:201–207
Yusuf S, Gerstein H, Hoogwerf B et al (2001) Ramipril and the development of diabetes. JAMA 286:1882–1885
The Navigator Study Group (2010) Effect of valsartan on the incidence of diabetes and cardiovascular events. N Engl J Med 362:1463–1476
Barzilay JI, Gao P, Rydén L et al (2011) Effects of telmisartan on glucose levels in people at high risk for cardiovascular disease but free from diabetes: the TRANSCEND Study. Diabetes Care 34:1902–1907
Knowler WC, Barrett-Connor E, Fowler SE et al (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346:393–403
Tuomilehto J, Lindström J, Eriksson JG et al (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344:1343–1350
Pan XR, Li GW, Hu YH et al (1997) Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study. Diabetes Care 20:537–544
Chiasson JL, Josse RG, Gomis R et al (2002) Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial. Lancet 359(9323):2072–2077
Buchanan TA, Xiang AH, Peters RK et al (2002) Preservation of pancreatic beta-cell function and prevention of type 2 diabetes by pharmacological treatment of insulin resistance in high-risk hispanic women. Diabetes 51(9):2796–2803
Torgerson JS, Hauptman J, Boldrin MN et al (2004) XENical in the prevention of diabetes in obese subjects (XENDOS) study: a randomized study of orlistat as an adjunct to lifestyle changes for the prevention of type 2 diabetes in obese patients. Diabetes Care 27(1):155–161
Florez JC, Jablonski KA, Bayley N et al (2006) TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program. N Engl J Med 355:241–250
Diabetes Prevention Program Research Group, Crandall J, Schade D et al (2006) The influence of age on the effects of lifestyle modification and metformin in prevention of diabetes. J Gerontol A Biol Sci Med Sci 61:1075–1081
Diabetes Prevention Program Research Group, Knowler WC, Fowler SE et al (2009) 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 374:1677–1686
Lanza IR, Short DK, Short KR et al (2008) Endurance training as a countermeasure for aging. Diabetes 57:2933–2942
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Barzilay, J. (2012). The Pre-Diabetic, Insulin-Resistant State. In: Newman, A., Cauley, J. (eds) The Epidemiology of Aging. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5061-6_25
Download citation
DOI: https://doi.org/10.1007/978-94-007-5061-6_25
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5060-9
Online ISBN: 978-94-007-5061-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)