NCT00005121

Brief Summary

The Framingham Heart Study was initiated to study the factors associated with the development of cardiovascular disease by employing long-term surveillance of an adult population in Framingham, Massachusetts. The Framingham Offspring Study was initiated to assess familial and genetic factors as determinants of coronary heart disease.

Trial Health

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Timeline
Completed

Started Jul 1948

Longer than P75 for all trials

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 1, 1948

Completed
51.9 years until next milestone

First Submitted

Initial submission to the registry

May 25, 2000

Completed
1 day until next milestone

First Posted

Study publicly available on registry

May 26, 2000

Completed
8.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2008

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2008

Completed
Last Updated

April 14, 2016

Status Verified

April 1, 2009

Enrollment Period

60.2 years

First QC Date

May 25, 2000

Last Update Submit

April 13, 2016

Conditions

Eligibility Criteria

AgeUp to 100 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
No eligibility criteria

Contact the study team to discuss eligibility requirements. They can help determine if this study is right for you.

Sponsors & Collaborators

Related Publications (19)

  • Marquardt JP, Tonnesen PE, Mercaldo ND, Graur A, Allaire B, Bouxsein ML, Samelson EJ, Kiel DP, Fintelmann FJ. Subcutaneous and Visceral Adipose Tissue Reference Values From the Framingham Heart Study Thoracic and Abdominal CT. Invest Radiol. 2025 Feb 1;60(2):95-104. doi: 10.1097/RLI.0000000000001104. Epub 2024 Jul 25.

  • Wu Y, Chen C, Wei FF, Liang W, Dong Y, Liu C, Choy M, Dong B. Associations between long-term averages of metabolic parameters in adulthood and cardiac structure and function in later life. Hypertens Res. 2024 Feb;47(2):496-506. doi: 10.1038/s41440-023-01475-9. Epub 2023 Oct 19.

  • Tonnesen PE, Mercaldo ND, Tahir I, Dietrich AW, Amayri W, Graur A, Allaire B, Bouxsein ML, Samelson EJ, Kiel DP, Fintelmann FJ. Muscle Reference Values From Thoracic and Abdominal CT for Sarcopenia Assessment: The Framingham Heart Study. Invest Radiol. 2024 Mar 1;59(3):259-270. doi: 10.1097/RLI.0000000000001012. Epub 2023 Sep 18.

  • Choy M, Huang Y, Peng Y, Liang W, He X, Chen C, Li J, Zhu W, Wei FF, Dong Y, Liu C, Wu Y. Association between epicardial adipose tissue and incident heart failure mediating by alteration of natriuretic peptide and myocardial strain. BMC Med. 2023 Mar 29;21(1):117. doi: 10.1186/s12916-023-02836-4.

  • Lai CQ, Parnell LD, Lee YC, Zeng H, Smith CE, McKeown NM, Arnett DK, Ordovas JM. The impact of alcoholic drinks and dietary factors on epigenetic markers associated with triglyceride levels. Front Genet. 2023 Feb 15;14:1117778. doi: 10.3389/fgene.2023.1117778. eCollection 2023.

  • Takvorian KS, Wang D, Courchesne P, Vasan RS, Benjamin EJ, Cheng S, Larson MG, Levy D, Ho JE. The Association of Protein Biomarkers With Incident Heart Failure With Preserved and Reduced Ejection Fraction. Circ Heart Fail. 2023 Jan;16(1):e009446. doi: 10.1161/CIRCHEARTFAILURE.121.009446. Epub 2022 Dec 8.

  • Lee YC, Christensen JJ, Parnell LD, Smith CE, Shao J, McKeown NM, Ordovas JM, Lai CQ. Using Machine Learning to Predict Obesity Based on Genome-Wide and Epigenome-Wide Gene-Gene and Gene-Diet Interactions. Front Genet. 2022 Jan 3;12:783845. doi: 10.3389/fgene.2021.783845. eCollection 2021.

  • Wang K, Liu H. Association between widespread pain and dementia, Alzheimer's disease and stroke: a cohort study from the Framingham Heart Study. Reg Anesth Pain Med. 2021 Oct;46(10):879-885. doi: 10.1136/rapm-2021-102733. Epub 2021 Aug 16.

  • Haslam DE, Peloso GM, Guirette M, Imamura F, Bartz TM, Pitsillides AN, Wang CA, Li-Gao R, Westra JM, Pitkanen N, Young KL, Graff M, Wood AC, Braun KVE, Luan J, Kahonen M, Kiefte-de Jong JC, Ghanbari M, Tintle N, Lemaitre RN, Mook-Kanamori DO, North K, Helminen M, Mossavar-Rahmani Y, Snetselaar L, Martin LW, Viikari JS, Oddy WH, Pennell CE, Rosendall FR, Ikram MA, Uitterlinden AG, Psaty BM, Mozaffarian D, Rotter JI, Taylor KD, Lehtimaki T, Raitakari OT, Livingston KA, Voortman T, Forouhi NG, Wareham NJ, de Mutsert R, Rich SS, Manson JE, Mora S, Ridker PM, Merino J, Meigs JB, Dashti HS, Chasman DI, Lichtenstein AH, Smith CE, Dupuis J, Herman MA, McKeown NM. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med. 2021 Aug;14(4):e003288. doi: 10.1161/CIRCGEN.120.003288. Epub 2021 Jul 16.

  • Block RC, Shearer GC, Holub A, Tu XM, Mousa S, Brenna JT, Harris WS, Tintle N. Aspirin and omega-3 fatty acid status interact in the prevention of cardiovascular diseases in Framingham Heart Study. Prostaglandins Leukot Essent Fatty Acids. 2021 Jun;169:102283. doi: 10.1016/j.plefa.2021.102283. Epub 2021 Apr 24.

  • Taron J, Lyass A, Mahoney TF, Ehrbar RQ, Vasan RS, D'Agostino RB Sr, Hoffmann U, Massaro JM, Lu MT. Coronary Artery Calcium Score-Directed Primary Prevention With Statins on the Basis of the 2018 American College of Cardiology/American Heart Association/Multisociety Cholesterol Guidelines. J Am Heart Assoc. 2021 Jan 5;10(1):e018342. doi: 10.1161/JAHA.120.018342. Epub 2020 Dec 22. No abstract available.

  • Lai CQ, Parnell LD, Smith CE, Guo T, Sayols-Baixeras S, Aslibekyan S, Tiwari HK, Irvin MR, Bender C, Fei D, Hidalgo B, Hopkins PN, Absher DM, Province MA, Elosua R, Arnett DK, Ordovas JM. Carbohydrate and fat intake associated with risk of metabolic diseases through epigenetics of CPT1A. Am J Clin Nutr. 2020 Nov 11;112(5):1200-1211. doi: 10.1093/ajcn/nqaa233.

  • McKeown NM, Dashti HS, Ma J, Haslam DE, Kiefte-de Jong JC, Smith CE, Tanaka T, Graff M, Lemaitre RN, Rybin D, Sonestedt E, Frazier-Wood AC, Mook-Kanamori DO, Li Y, Wang CA, Leermakers ETM, Mikkila V, Young KL, Mukamal KJ, Cupples LA, Schulz CA, Chen TA, Li-Gao R, Huang T, Oddy WH, Raitakari O, Rice K, Meigs JB, Ericson U, Steffen LM, Rosendaal FR, Hofman A, Kahonen M, Psaty BM, Brunkwall L, Uitterlinden AG, Viikari J, Siscovick DS, Seppala I, North KE, Mozaffarian D, Dupuis J, Orho-Melander M, Rich SS, de Mutsert R, Qi L, Pennell CE, Franco OH, Lehtimaki T, Herman MA. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia. 2018 Feb;61(2):317-330. doi: 10.1007/s00125-017-4475-0. Epub 2017 Nov 2.

  • Fretts AM, Follis JL, Nettleton JA, Lemaitre RN, Ngwa JS, Wojczynski MK, Kalafati IP, Varga TV, Frazier-Wood AC, Houston DK, Lahti J, Ericson U, van den Hooven EH, Mikkila V, Kiefte-de Jong JC, Mozaffarian D, Rice K, Renstrom F, North KE, McKeown NM, Feitosa MF, Kanoni S, Smith CE, Garcia ME, Tiainen AM, Sonestedt E, Manichaikul A, van Rooij FJ, Dimitriou M, Raitakari O, Pankow JS, Djousse L, Province MA, Hu FB, Lai CQ, Keller MF, Perala MM, Rotter JI, Hofman A, Graff M, Kahonen M, Mukamal K, Johansson I, Ordovas JM, Liu Y, Mannisto S, Uitterlinden AG, Deloukas P, Seppala I, Psaty BM, Cupples LA, Borecki IB, Franks PW, Arnett DK, Nalls MA, Eriksson JG, Orho-Melander M, Franco OH, Lehtimaki T, Dedoussis GV, Meigs JB, Siscovick DS. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 Nov;102(5):1266-78. doi: 10.3945/ajcn.114.101238. Epub 2015 Sep 9.

  • Cassidy A, Rogers G, Peterson JJ, Dwyer JT, Lin H, Jacques PF. Higher dietary anthocyanin and flavonol intakes are associated with anti-inflammatory effects in a population of US adults. Am J Clin Nutr. 2015 Jul;102(1):172-81. doi: 10.3945/ajcn.115.108555. Epub 2015 May 27.

  • Dashti HS, Follis JL, Smith CE, Tanaka T, Cade BE, Gottlieb DJ, Hruby A, Jacques PF, Lamon-Fava S, Richardson K, Saxena R, Scheer FA, Kovanen L, Bartz TM, Perala MM, Jonsson A, Frazier-Wood AC, Kalafati IP, Mikkila V, Partonen T, Lemaitre RN, Lahti J, Hernandez DG, Toft U, Johnson WC, Kanoni S, Raitakari OT, Perola M, Psaty BM, Ferrucci L, Grarup N, Highland HM, Rallidis L, Kahonen M, Havulinna AS, Siscovick DS, Raikkonen K, Jorgensen T, Rotter JI, Deloukas P, Viikari JS, Mozaffarian D, Linneberg A, Seppala I, Hansen T, Salomaa V, Gharib SA, Eriksson JG, Bandinelli S, Pedersen O, Rich SS, Dedoussis G, Lehtimaki T, Ordovas JM. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. Am J Clin Nutr. 2015 Jan;101(1):135-43. doi: 10.3945/ajcn.114.095026. Epub 2014 Nov 26.

  • Dashti HS, Shea MK, Smith CE, Tanaka T, Hruby A, Richardson K, Wang TJ, Nalls MA, Guo X, Liu Y, Yao J, Li D, Johnson WC, Benjamin EJ, Kritchevsky SB, Siscovick DS, Ordovas JM, Booth SL. Meta-analysis of genome-wide association studies for circulating phylloquinone concentrations. Am J Clin Nutr. 2014 Dec;100(6):1462-9. doi: 10.3945/ajcn.114.093146. Epub 2014 Oct 8.

  • Hunninghake GM, Hatabu H, Okajima Y, Gao W, Dupuis J, Latourelle JC, Nishino M, Araki T, Zazueta OE, Kurugol S, Ross JC, San Jose Estepar R, Murphy E, Steele MP, Loyd JE, Schwarz MI, Fingerlin TE, Rosas IO, Washko GR, O'Connor GT, Schwartz DA. MUC5B promoter polymorphism and interstitial lung abnormalities. N Engl J Med. 2013 Jun 6;368(23):2192-200. doi: 10.1056/NEJMoa1216076. Epub 2013 May 21.

  • Tanaka T, Ngwa JS, van Rooij FJ, Zillikens MC, Wojczynski MK, Frazier-Wood AC, Houston DK, Kanoni S, Lemaitre RN, Luan J, Mikkila V, Renstrom F, Sonestedt E, Zhao JH, Chu AY, Qi L, Chasman DI, de Oliveira Otto MC, Dhurandhar EJ, Feitosa MF, Johansson I, Khaw KT, Lohman KK, Manichaikul A, McKeown NM, Mozaffarian D, Singleton A, Stirrups K, Viikari J, Ye Z, Bandinelli S, Barroso I, Deloukas P, Forouhi NG, Hofman A, Liu Y, Lyytikainen LP, North KE, Dimitriou M, Hallmans G, Kahonen M, Langenberg C, Ordovas JM, Uitterlinden AG, Hu FB, Kalafati IP, Raitakari O, Franco OH, Johnson A, Emilsson V, Schrack JA, Semba RD, Siscovick DS, Arnett DK, Borecki IB, Franks PW, Kritchevsky SB, Lehtimaki T, Loos RJ, Orho-Melander M, Rotter JI, Wareham NJ, Witteman JC, Ferrucci L, Dedoussis G, Cupples LA, Nettleton JA. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun;97(6):1395-402. doi: 10.3945/ajcn.112.052183. Epub 2013 May 1.

MeSH Terms

Conditions

Cardiovascular DiseasesHeart DiseasesCoronary DiseaseStrokeHypertensionHeart FailurePeripheral Vascular DiseasesArterial Occlusive DiseasesAtherosclerosis

Condition Hierarchy (Ancestors)

Myocardial IschemiaVascular DiseasesCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesArteriosclerosis

Study Officials

  • Philip Wolf

    Boston University

Study Design

Study Type
observational
Sponsor Type
NIH

Study Record Dates

First Submitted

May 25, 2000

First Posted

May 26, 2000

Study Start

July 1, 1948

Primary Completion

September 1, 2008

Study Completion

September 1, 2008

Last Updated

April 14, 2016

Record last verified: 2009-04