Skip to main content
Top
Published in: Diabetologia 8/2008

Open Access 01-08-2008 | Article

The association of intensity and overall level of physical activity energy expenditure with a marker of insulin resistance

Authors: F. K. Assah, S. Brage, U. Ekelund, N. J. Wareham

Published in: Diabetologia | Issue 8/2008

Login to get access

Abstract

Aims/hypothesis

Physical activity is important in preventing insulin resistance, but it is unclear which dimension of activity confers this benefit. We examined the association of overall level and intensity of physical activity with fasting insulin level, a marker of insulin resistance.

Methods

This was a cross-sectional analysis of the Medical Research Council Ely population-based cohort study (2000–2002). Physical activity energy expenditure (PAEE) in kJ kg−1 min−1 was measured by heart rate monitoring with individual calibration over a period of 4 days. The percentage of time spent above 1.5, 1.75 and 2 times resting heart rate (RHR) represented all light-to-vigorous, moderate-to-vigorous and vigorous activity, respectively.

Results

Data from a total of 643 non-diabetic individuals (319 men, 324 women) aged 50 to 75 years were analysed. In multivariate linear regression analyses, adjusting for age, sex and body fat percentage, PAEE was significantly associated with fasting insulin (pmol/l) (β = −0.875, p = 0.006). Time (% of total) spent above 1.75 × RHR and also time spent above 2 × RHR were both significantly associated with fasting insulin (β = −0.0109, p = 0.007 and β = −0.0365, p = 0.001 respectively), after adjusting for PAEE, age, sex and body fat percentage. Time spent above 1.5 × RHR was not significantly associated with fasting insulin in a similar model (β = −0.0026, p = 0.137).

Conclusions/interpretation

The association between PAEE and fasting insulin level, a marker of insulin resistance, may be attributable to the time spent in moderate-to-vigorous and vigorous activity, but not to time spent in light-intensity physical activity.
Literature
1.
go back to reference Murray CJ, Lopez AD (1997) Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. Lancet 349:1498–1504PubMedCrossRef Murray CJ, Lopez AD (1997) Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. Lancet 349:1498–1504PubMedCrossRef
2.
go back to reference Mathers CD, Loncar D (2006) Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3:e442PubMedCrossRef Mathers CD, Loncar D (2006) Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3:e442PubMedCrossRef
3.
go back to reference Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ (2006) Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 367:1747–1757PubMedCrossRef Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ (2006) Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 367:1747–1757PubMedCrossRef
4.
go back to reference Murray CJ, Lopez AD (1997) Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study. Lancet 349:1436–1442PubMedCrossRef Murray CJ, Lopez AD (1997) Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study. Lancet 349:1436–1442PubMedCrossRef
5.
go back to reference Alberti KG, Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15:539–553PubMedCrossRef Alberti KG, Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15:539–553PubMedCrossRef
6.
go back to reference Balkau B, Charles MA, Drivsholm T et al (2002) Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes Metab 28:364–376PubMed Balkau B, Charles MA, Drivsholm T et al (2002) Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes Metab 28:364–376PubMed
7.
go back to reference Hedblad B, Nilsson P, Engstrom G, Berglund G, Janzon L (2002) Insulin resistance in non-diabetic subjects is associated with increased incidence of myocardial infarction and death. Diabet Med 19:470–475PubMedCrossRef Hedblad B, Nilsson P, Engstrom G, Berglund G, Janzon L (2002) Insulin resistance in non-diabetic subjects is associated with increased incidence of myocardial infarction and death. Diabet Med 19:470–475PubMedCrossRef
8.
go back to reference Yao M, Lichtenstein AH, Roberts SB et al (2003) Relative influence of diet and physical activity on cardiovascular risk factors in urban Chinese adults. Int J Obes Relat Metab Disord 27:920–932PubMedCrossRef Yao M, Lichtenstein AH, Roberts SB et al (2003) Relative influence of diet and physical activity on cardiovascular risk factors in urban Chinese adults. Int J Obes Relat Metab Disord 27:920–932PubMedCrossRef
9.
go back to reference Kaplan NM (1989) The deadly quartet. Upper-body obesity, glucose intolerance, hypertriglyceridemia, and hypertension. Arch Intern Med 149:1514–1520PubMedCrossRef Kaplan NM (1989) The deadly quartet. Upper-body obesity, glucose intolerance, hypertriglyceridemia, and hypertension. Arch Intern Med 149:1514–1520PubMedCrossRef
10.
go back to reference Wareham NJ, Byrne CD, Williams R, Day NE, Hales CN (1999) Fasting proinsulin concentrations predict the development of type 2 diabetes. Diabetes Care 22:262–270PubMedCrossRef Wareham NJ, Byrne CD, Williams R, Day NE, Hales CN (1999) Fasting proinsulin concentrations predict the development of type 2 diabetes. Diabetes Care 22:262–270PubMedCrossRef
11.
go back to reference Feskens EJ, Tuomilehto J, Stengard JH, Pekkanen J, Nissinen A, Kromhout D (1995) Hypertension and overweight associated with hyperinsulinaemia and glucose tolerance: a longitudinal study of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetologia 38:839–847PubMedCrossRef Feskens EJ, Tuomilehto J, Stengard JH, Pekkanen J, Nissinen A, Kromhout D (1995) Hypertension and overweight associated with hyperinsulinaemia and glucose tolerance: a longitudinal study of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetologia 38:839–847PubMedCrossRef
12.
go back to reference Ohmura T, Ueda K, Kiyohara Y et al (1994) The association of the insulin resistance syndrome with impaired glucose tolerance and NIDDM in the Japanese general population: the Hisayama study. Diabetologia 37:897–904PubMedCrossRef Ohmura T, Ueda K, Kiyohara Y et al (1994) The association of the insulin resistance syndrome with impaired glucose tolerance and NIDDM in the Japanese general population: the Hisayama study. Diabetologia 37:897–904PubMedCrossRef
13.
go back to reference Eriksson KF, Lindgarde F (1996) Poor physical fitness, and impaired early insulin response but late hyperinsulinaemia, as predictors of NIDDM in middle-aged Swedish men. Diabetologia 39:573–579PubMedCrossRef Eriksson KF, Lindgarde F (1996) Poor physical fitness, and impaired early insulin response but late hyperinsulinaemia, as predictors of NIDDM in middle-aged Swedish men. Diabetologia 39:573–579PubMedCrossRef
14.
go back to reference Howard G, O’Leary DH, Zaccaro D et al (1996) Insulin sensitivity and atherosclerosis. The Insulin Resistance Atherosclerosis Study (IRAS) Investigators. Circulation 93:1809–1817PubMed Howard G, O’Leary DH, Zaccaro D et al (1996) Insulin sensitivity and atherosclerosis. The Insulin Resistance Atherosclerosis Study (IRAS) Investigators. Circulation 93:1809–1817PubMed
15.
go back to reference Saad MF, Rewers M, Selby J et al (2004) Insulin resistance and hypertension: the Insulin Resistance Atherosclerosis study. Hypertension 43:1324–1331PubMedCrossRef Saad MF, Rewers M, Selby J et al (2004) Insulin resistance and hypertension: the Insulin Resistance Atherosclerosis study. Hypertension 43:1324–1331PubMedCrossRef
16.
go back to reference Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M (1998) Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. N Engl J Med 339:229–234PubMedCrossRef Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M (1998) Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. N Engl J Med 339:229–234PubMedCrossRef
17.
go back to reference Hanson RL, Pratley RE, Bogardus C et al (2000) Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies. Am J Epidemiol 151:190–198PubMed Hanson RL, Pratley RE, Bogardus C et al (2000) Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies. Am J Epidemiol 151:190–198PubMed
18.
go back to reference Cheng C, Campbell KL, Kushner H, Falkner BE (2004) Correlation of oral glucose tolerance test-derived estimates of insulin sensitivity with insulin clamp measurements in an African-American cohort. Metabolism 53:1107–1112PubMedCrossRef Cheng C, Campbell KL, Kushner H, Falkner BE (2004) Correlation of oral glucose tolerance test-derived estimates of insulin sensitivity with insulin clamp measurements in an African-American cohort. Metabolism 53:1107–1112PubMedCrossRef
19.
go back to reference Vaccaro O, Masulli M, Cuomo V et al (2004) Comparative evaluation of simple indices of insulin resistance. Metabolism 53:1522–1526PubMedCrossRef Vaccaro O, Masulli M, Cuomo V et al (2004) Comparative evaluation of simple indices of insulin resistance. Metabolism 53:1522–1526PubMedCrossRef
20.
21.
go back to reference Mooy JM, Grootenhuis PA, de Vries H, Bouter LM, Kostense PJ, Heine RJ (1998) Determinants of specific serum insulin concentrations in a general Caucasian population aged 50 to 74 years (the Hoorn Study). Diabet Med 15:45–52PubMedCrossRef Mooy JM, Grootenhuis PA, de Vries H, Bouter LM, Kostense PJ, Heine RJ (1998) Determinants of specific serum insulin concentrations in a general Caucasian population aged 50 to 74 years (the Hoorn Study). Diabet Med 15:45–52PubMedCrossRef
22.
go back to reference Feskens EJ, Loeber JG, Kromhout D (1994) Diet and physical activity as determinants of hyperinsulinemia: the Zutphen Elderly Study. Am J Epidemiol 140:350–360PubMed Feskens EJ, Loeber JG, Kromhout D (1994) Diet and physical activity as determinants of hyperinsulinemia: the Zutphen Elderly Study. Am J Epidemiol 140:350–360PubMed
23.
go back to reference Franks PW, Luan J, Browne PO et al (2004) Does peroxisome proliferator-activated receptor gamma genotype (Pro12ala) modify the association of physical activity and dietary fat with fasting insulin level? Metabolism 53:11–16PubMedCrossRef Franks PW, Luan J, Browne PO et al (2004) Does peroxisome proliferator-activated receptor gamma genotype (Pro12ala) modify the association of physical activity and dietary fat with fasting insulin level? Metabolism 53:11–16PubMedCrossRef
24.
go back to reference Wareham NJ, Wong MY, Day NE (2000) Glucose intolerance and physical inactivity: the relative importance of low habitual energy expenditure and cardiorespiratory fitness. Am J Epidemiol 152:132–139PubMedCrossRef Wareham NJ, Wong MY, Day NE (2000) Glucose intolerance and physical inactivity: the relative importance of low habitual energy expenditure and cardiorespiratory fitness. Am J Epidemiol 152:132–139PubMedCrossRef
25.
go back to reference Byberg L, Zethelius B, McKeigue PM, Lithell HO (2001) Changes in physical activity are associated with changes in metabolic cardiovascular risk factors. Diabetologia 44:2134–2139PubMedCrossRef Byberg L, Zethelius B, McKeigue PM, Lithell HO (2001) Changes in physical activity are associated with changes in metabolic cardiovascular risk factors. Diabetologia 44:2134–2139PubMedCrossRef
26.
go back to reference Aadahl M, Kjaer M, Jorgensen T (2007) Associations between overall physical activity level and cardiovascular risk factors in an adult population. Eur J Epidemiol 22:369–378PubMedCrossRef Aadahl M, Kjaer M, Jorgensen T (2007) Associations between overall physical activity level and cardiovascular risk factors in an adult population. Eur J Epidemiol 22:369–378PubMedCrossRef
27.
go back to reference Dvorak RV, Tchernof A, Starling RD, Ades PA, DiPietro L, Poehlman ET (2000) Respiratory fitness, free living physical activity, and cardiovascular disease risk in older individuals: a doubly labeled water study. J Clin Endocrinol Metab 85:957–963PubMedCrossRef Dvorak RV, Tchernof A, Starling RD, Ades PA, DiPietro L, Poehlman ET (2000) Respiratory fitness, free living physical activity, and cardiovascular disease risk in older individuals: a doubly labeled water study. J Clin Endocrinol Metab 85:957–963PubMedCrossRef
28.
go back to reference Wareham JN, Brage S, Franks PW, Abbott RA (2005) Physical activity and insulin resistance. In: Kumar S, O’Rahilly S (eds) Insulin resistance: insulin action and its disturbances in disease. Wiley, Chichester, pp 317–400 Wareham JN, Brage S, Franks PW, Abbott RA (2005) Physical activity and insulin resistance. In: Kumar S, O’Rahilly S (eds) Insulin resistance: insulin action and its disturbances in disease. Wiley, Chichester, pp 317–400
29.
go back to reference Harding AH, Williams DE, Hennings SH, Mitchell J, Wareham NJ (2001) Is the association between dietary fat intake and insulin resistance modified by physical activity? Metabolism 50:1186–1192PubMedCrossRef Harding AH, Williams DE, Hennings SH, Mitchell J, Wareham NJ (2001) Is the association between dietary fat intake and insulin resistance modified by physical activity? Metabolism 50:1186–1192PubMedCrossRef
30.
go back to reference Ekelund U, Franks PW, Sharp S, Brage S, Wareham NJ (2007) Increase in physical activity energy expenditure is associated with reduced metabolic risk independent of change in fatness and fitness. Diabetes Care 30:2101–2106PubMedCrossRef Ekelund U, Franks PW, Sharp S, Brage S, Wareham NJ (2007) Increase in physical activity energy expenditure is associated with reduced metabolic risk independent of change in fatness and fitness. Diabetes Care 30:2101–2106PubMedCrossRef
31.
go back to reference Ekelund U, Griffin SJ, Wareham NJ (2007) Physical activity and metabolic risk in individuals with a family history of type 2 diabetes. Diabetes Care 30:337–342PubMedCrossRef Ekelund U, Griffin SJ, Wareham NJ (2007) Physical activity and metabolic risk in individuals with a family history of type 2 diabetes. Diabetes Care 30:337–342PubMedCrossRef
32.
go back to reference Williams DR, Wareham NJ, Brown DC et al (1995) Undiagnosed glucose intolerance in the community: the Isle of Ely Diabetes Project. Diabet Med 12:30–35PubMedCrossRef Williams DR, Wareham NJ, Brown DC et al (1995) Undiagnosed glucose intolerance in the community: the Isle of Ely Diabetes Project. Diabet Med 12:30–35PubMedCrossRef
33.
go back to reference Weir JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109:1–9PubMed Weir JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109:1–9PubMed
34.
go back to reference Ceesay SM, Prentice AM, Day KC et al (1989) The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry. Br J Nutr 61:175–186PubMedCrossRef Ceesay SM, Prentice AM, Day KC et al (1989) The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry. Br J Nutr 61:175–186PubMedCrossRef
35.
go back to reference Livingstone MB, Prentice AM, Coward WA et al (1990) Simultaneous measurement of free-living energy expenditure by the doubly labeled water method and heart-rate monitoring. Am J Clin Nutr 52:59–65PubMed Livingstone MB, Prentice AM, Coward WA et al (1990) Simultaneous measurement of free-living energy expenditure by the doubly labeled water method and heart-rate monitoring. Am J Clin Nutr 52:59–65PubMed
36.
go back to reference Wareham NJ, Hennings SJ, Prentice AM, Day NE (1997) Feasibility of heart-rate monitoring to estimate total level and pattern of energy expenditure in a population-based epidemiological study: the Ely Young Cohort Feasibility Study 1994–5. Br J Nutr 78:889–900PubMedCrossRef Wareham NJ, Hennings SJ, Prentice AM, Day NE (1997) Feasibility of heart-rate monitoring to estimate total level and pattern of energy expenditure in a population-based epidemiological study: the Ely Young Cohort Feasibility Study 1994–5. Br J Nutr 78:889–900PubMedCrossRef
37.
go back to reference Simpson JA, Lobo DN, Anderson JA et al (2001) Body water compartment measurements: a comparison of bioelectrical impedance analysis with tritium and sodium bromide dilution techniques. Clin Nutr 20:339–343PubMedCrossRef Simpson JA, Lobo DN, Anderson JA et al (2001) Body water compartment measurements: a comparison of bioelectrical impedance analysis with tritium and sodium bromide dilution techniques. Clin Nutr 20:339–343PubMedCrossRef
38.
go back to reference Marshall JA, Bessesen DH, Hamman RF (1997) High saturated fat and low starch and fibre are associated with hyperinsulinaemia in a non-diabetic population: the San Luis Valley Diabetes Study. Diabetologia 40:430–438PubMedCrossRef Marshall JA, Bessesen DH, Hamman RF (1997) High saturated fat and low starch and fibre are associated with hyperinsulinaemia in a non-diabetic population: the San Luis Valley Diabetes Study. Diabetologia 40:430–438PubMedCrossRef
39.
go back to reference Irwin ML, Mayer-Davis EJ, Addy CL et al (2000) Moderate-intensity physical activity and fasting insulin levels in women: the Cross-Cultural Activity Participation Study. Diabetes Care 23:449–454PubMedCrossRef Irwin ML, Mayer-Davis EJ, Addy CL et al (2000) Moderate-intensity physical activity and fasting insulin levels in women: the Cross-Cultural Activity Participation Study. Diabetes Care 23:449–454PubMedCrossRef
40.
go back to reference Mayer-Davis EJ, D’Agostino R Jr, Karter AJ et al (1998) Intensity and amount of physical activity in relation to insulin sensitivity: the Insulin Resistance Atherosclerosis Study. JAMA 279:669–674PubMedCrossRef Mayer-Davis EJ, D’Agostino R Jr, Karter AJ et al (1998) Intensity and amount of physical activity in relation to insulin sensitivity: the Insulin Resistance Atherosclerosis Study. JAMA 279:669–674PubMedCrossRef
41.
go back to reference Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, Lakka TA (2002) Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care 25:1612–1618PubMedCrossRef Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, Lakka TA (2002) Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care 25:1612–1618PubMedCrossRef
42.
go back to reference Lakka TA, Laaksonen DE, Lakka HM et al (2003) Sedentary lifestyle, poor cardiorespiratory fitness, and the metabolic syndrome. Med Sci Sports Exerc 35:1279–1286PubMedCrossRef Lakka TA, Laaksonen DE, Lakka HM et al (2003) Sedentary lifestyle, poor cardiorespiratory fitness, and the metabolic syndrome. Med Sci Sports Exerc 35:1279–1286PubMedCrossRef
43.
go back to reference Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ (2005) Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care 28:1195–1200PubMedCrossRef Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ (2005) Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care 28:1195–1200PubMedCrossRef
44.
go back to reference Houmard JA, Tanner CJ, Slentz CA, Duscha BD, McCartney JS, Kraus WE (2004) Effect of the volume and intensity of exercise training on insulin sensitivity. J Appl Physiol 96:101–106PubMedCrossRef Houmard JA, Tanner CJ, Slentz CA, Duscha BD, McCartney JS, Kraus WE (2004) Effect of the volume and intensity of exercise training on insulin sensitivity. J Appl Physiol 96:101–106PubMedCrossRef
45.
go back to reference Kang J, Robertson RJ, Hagberg JM et al (1996) Effect of exercise intensity on glucose and insulin metabolism in obese individuals and obese NIDDM patients. Diabetes Care 19:341–349PubMedCrossRef Kang J, Robertson RJ, Hagberg JM et al (1996) Effect of exercise intensity on glucose and insulin metabolism in obese individuals and obese NIDDM patients. Diabetes Care 19:341–349PubMedCrossRef
46.
go back to reference Kirkwood BR, Sterne JAC (2004) Essential medical statistics, 2nd edn. Blackwell Science, Cambridge Kirkwood BR, Sterne JAC (2004) Essential medical statistics, 2nd edn. Blackwell Science, Cambridge
48.
go back to reference Chou P, Lin KC, Lin HY, Tsai ST (2001) Gender differences in the relationships of serum uric acid with fasting serum insulin and plasma glucose in patients without diabetes. J Rheumatol 28:571–576PubMed Chou P, Lin KC, Lin HY, Tsai ST (2001) Gender differences in the relationships of serum uric acid with fasting serum insulin and plasma glucose in patients without diabetes. J Rheumatol 28:571–576PubMed
49.
go back to reference Oh JY, Barrett-Connor E, Wedick NM (2002) Sex differences in the association between proinsulin and intact insulin with coronary heart disease in nondiabetic older adults: the Rancho Bernardo Study. Circulation 105:1311–1316PubMedCrossRef Oh JY, Barrett-Connor E, Wedick NM (2002) Sex differences in the association between proinsulin and intact insulin with coronary heart disease in nondiabetic older adults: the Rancho Bernardo Study. Circulation 105:1311–1316PubMedCrossRef
Metadata
Title
The association of intensity and overall level of physical activity energy expenditure with a marker of insulin resistance
Authors
F. K. Assah
S. Brage
U. Ekelund
N. J. Wareham
Publication date
01-08-2008
Publisher
Springer-Verlag
Published in
Diabetologia / Issue 8/2008
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-008-1033-9

Other articles of this Issue 8/2008

Diabetologia 8/2008 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.