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RecruitingNCT00959270PCLSUpdated Sep 24, 2026

Pennington Center Longitudinal Study (PCLS)

An observational study in Health Behaviors and Development of Health Problems, sponsored by Pennington Biomedical Research Center. Recruiting at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-24.

Sponsored by Pennington Biomedical Research Center · Observational

From the registry’s dates

  • Started May 2009; still recruiting 17 years 6 months later.
Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
30,000
Ages
18 Years and older
Sex
All
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Study summary

The purpose of this study is to develop a cohort of volunteers that can be studied and followed up into the future for changes in health behaviors and development of health problems.

Read the detailed description

The PCLS represents an effort to utilize the data collected over the last twenty years during the clinical research studies conducted at Pennington Biomedical Research Center. A cohort will be developed and used for cross-sectional analyses, as well as followed prospectively for the development of a variety of health-related outcomes. Several data sources from the PBRC clinical database will be used to establish the PCLS database, including screening, archive and study-specific data. The only protocol specific to the PCLS study is the collection of blood sample for risk factor determination and storage in the PBRC archive bank, only to be invoked in cases where studies do not include a blood draw as part of their protocol.

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Conditions studied

  • Health Behaviors
  • Development of Health Problems

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03

In context

Health Behavior

967 studies on the registry are indexed under Health Behavior; 165 are open to participants now.

This study's planned enrollment of 30,000 is above the median of 219 across 131 observational studies indexed under Health Behavior.

Browse Health Behavior studies →

Lead sponsor

Pennington Biomedical Research Center is the lead sponsor of 284 studies on the registry; 31 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Community Sample

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • 18 years or older
  • volunteer to Participate

Exclusion criteria

Exclusion Criteria:

  • younger than 18 years
  • Pregnant
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Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
30,000 participants (estimated)
Biospecimen retention
Samples with dna
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What researchers measure

Primary outcomes

  1. Cross-sectional analyses database

    The only protocol specific to the PCLS study is the collection of blood sample for risk factor determination and storage in the PBRC archive bank, only to be invoked in cases where studies do not include a blood draw as part of their protocol. The PCLS represents an effort to utilize a data collection over the last twenty years during the clinical research studies for cross-sectional analyses, as well as followed prospectively for the development of a variety of health-related outcomes.

    Time frame: twenty-years

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Study locations

1 of 1 sites recruiting
  • Pennington Biomedical Research Center
    Baton Rouge, Louisiana 70809, United States
    Recruiting
    • Peter Katzmarzyk, PhD · Principal investigator
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References and documents

Publications

  • Camhi SM, Katzmarzyk PT. Differences in body composition between metabolically healthy obese and metabolically abnormal obese adults. Int J Obes (Lond). 2014 Aug;38(8):1142-5. doi: 10.1038/ijo.2013.208. Epub 2013 Nov 12. PubMed 24216712 ↗
  • Katzmarzyk PT, Greenway FL, Heymsfield SB, Bouchard C. Clinical utility and reproducibility of visceral adipose tissue measurements derived from dual-energy X-ray absorptiometry in White and African American adults. Obesity (Silver Spring). 2013 Nov;21(11):2221-4. doi: 10.1002/oby.20519. Epub 2013 Aug 13. PubMed 23794256 ↗
  • Katzmarzyk PT, Mire E, Bray GA, Greenway FL, Heymsfield SB, Bouchard C. Anthropometric markers of obesity and mortality in white and African American adults: the pennington center longitudinal study. Obesity (Silver Spring). 2013 May;21(5):1070-5. doi: 10.1002/oby.20151. PubMed 23784912 ↗
  • Katzmarzyk PT, Hu G, Cefalu WT, Mire E, Bouchard C. The importance of waist circumference and BMI for mortality risk in diabetic adults. Diabetes Care. 2013 Oct;36(10):3128-30. doi: 10.2337/dc13-0219. Epub 2013 Jun 11. PubMed 23757429 ↗
  • Katzmarzyk PT, Heymsfield SB, Bouchard C. Clinical utility of visceral adipose tissue for the identification of cardiometabolic risk in white and African American adults. Am J Clin Nutr. 2013 Mar;97(3):480-6. doi: 10.3945/ajcn.112.047787. Epub 2013 Jan 30. PubMed 23364010 ↗
  • Katzmarzyk PT, Mire E, Bouchard C. Abdominal obesity and mortality: The Pennington Center Longitudinal Study. Nutr Diabetes. 2012 Aug 27;2(8):e42. doi: 10.1038/nutd.2012.15. PubMed 23168527 ↗
  • Camhi SM, Katzmarzyk PT. Total and femoral neck bone mineral density and physical activity in a sample of men and women. Appl Physiol Nutr Metab. 2012 Oct;37(5):947-54. doi: 10.1139/h2012-075. Epub 2012 Jul 23. PubMed 22823076 ↗
  • Barreira TV, Staiano AE, Harrington DM, Heymsfield SB, Smith SR, Bouchard C, Katzmarzyk PT. Anthropometric correlates of total body fat, abdominal adiposity, and cardiovascular disease risk factors in a biracial sample of men and women. Mayo Clin Proc. 2012 May;87(5):452-60. doi: 10.1016/j.mayocp.2011.12.017. PubMed 22560524 ↗
  • Barreira TV, Harrington DM, Staiano AE, Heymsfield SB, Katzmarzyk PT. Body adiposity index, body mass index, and body fat in white and black adults. JAMA. 2011 Aug 24;306(8):828-30. doi: 10.1001/jama.2011.1189. No abstract available. PubMed 21862743 ↗
  • Katzmarzyk PT, Barreira TV, Harrington DM, Staiano AE, Heymsfield SB, Gimble JM. Relationship between abdominal fat and bone mineral density in white and African American adults. Bone. 2012 Feb;50(2):576-9. doi: 10.1016/j.bone.2011.04.012. Epub 2011 Apr 28. PubMed 21549867 ↗
  • Hu G, Bouchard C, Bray GA, Greenway FL, Johnson WD, Newton RL Jr, Ravussin E, Ryan DH, Katzmarzyk PT. Trunk versus extremity adiposity and cardiometabolic risk factors in white and African American adults. Diabetes Care. 2011 Jun;34(6):1415-8. doi: 10.2337/dc10-2019. Epub 2011 Apr 19. PubMed 21505210 ↗
  • Katzmarzyk PT, Bray GA, Greenway FL, Johnson WD, Newton RL Jr, Ravussin E, Ryan DH, Bouchard C. Ethnic-specific BMI and waist circumference thresholds. Obesity (Silver Spring). 2011 Jun;19(6):1272-8. doi: 10.1038/oby.2010.319. Epub 2011 Jan 6. PubMed 21212770 ↗
  • Newton RL Jr, Bouchard C, Bray G, Greenway F, Johnson WD, Ravussin E, Ryan D, Katzmarzyk PT. Abdominal adiposity depots are correlates of adverse cardiometabolic risk factors in Caucasian and African-American adults. Nutr Diabetes. 2011 Jan 31;1(1):e2. doi: 10.1038/nutd.2010.2. PubMed 23154294 ↗
  • Broyles ST, Bouchard C, Bray GA, Greenway FL, Johnson WD, Newton RL, Ravussin E, Ryan DH, Smith SR, Katzmarzyk PT. Consistency of fat mass--fat-free mass relationship across ethnicity and sex groups. Br J Nutr. 2011 Apr;105(8):1272-6. doi: 10.1017/S0007114510004794. Epub 2010 Dec 14. PubMed 21156087 ↗
  • Sullivan R, Johnson WD, Katzmarzyk PT. Waist circumference is an independent correlate of errors in self-reported BMI. Obesity (Silver Spring). 2010 Nov;18(11):2237-9. doi: 10.1038/oby.2010.178. Epub 2010 Aug 19. PubMed 20725063 ↗
  • Katzmarzyk PT, Bray GA, Greenway FL, Johnson WD, Newton RL Jr, Ravussin E, Ryan DH, Smith SR, Bouchard C. Racial differences in abdominal depot-specific adiposity in white and African American adults. Am J Clin Nutr. 2010 Jan;91(1):7-15. doi: 10.3945/ajcn.2009.28136. Epub 2009 Oct 14. PubMed 19828714 ↗
  • Johnson WD, Bouchard C, Newton RL Jr, Ryan DH, Katzmarzyk PT. Ethnic differences in self-reported and measured obesity. Obesity (Silver Spring). 2009 Mar;17(3):571-7. doi: 10.1038/oby.2008.582. Epub 2008 Dec 18. PubMed 19238143 ↗
  • Camhi SM, Bray GA, Bouchard C, Greenway FL, Johnson WD, Newton RL, Ravussin E, Ryan DH, Smith SR, Katzmarzyk PT. The relationship of waist circumference and BMI to visceral, subcutaneous, and total body fat: sex and race differences. Obesity (Silver Spring). 2011 Feb;19(2):402-8. doi: 10.1038/oby.2010.248. Epub 2010 Oct 14. PubMed 20948514 ↗
  • Staiano AE, Bouchard C, Katzmarzyk PT. BMI-specific waist circumference thresholds to discriminate elevated cardiometabolic risk in White and African American adults. Obes Facts. 2013;6(4):317-24. doi: 10.1159/000354712. Epub 2013 Aug 9. PubMed 23970141 ↗
  • Sung YJ, Perusse L, Sarzynski MA, Fornage M, Sidney S, Sternfeld B, Rice T, Terry JG, Jacobs DR Jr, Katzmarzyk P, Curran JE, Jeffrey Carr J, Blangero J, Ghosh S, Despres JP, Rankinen T, Rao DC, Bouchard C. Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat. Int J Obes (Lond). 2016 Apr;40(4):662-74. doi: 10.1038/ijo.2015.217. Epub 2015 Oct 20. PubMed 26480920 ↗
  • Katzmarzyk PT, Brown JC, Yang S, Mire EF, Wu XC, Miele L, Ochoa AC, Zabaleta J. Association of Abdominal Visceral Adiposity and Total Fat Mass with Cancer Incidence and Mortality in White and Black Adults. Cancer Epidemiol Biomarkers Prev. 2022 Aug 2;31(8):1532-1538. doi: 10.1158/1055-9965.EPI-22-0207. PubMed 35654355 ↗
  • Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and cancer death in white and black adults: A prospective cohort study. Obesity (Silver Spring). 2021 Dec;29(12):2119-2125. doi: 10.1002/oby.23290. Epub 2021 Oct 24. PubMed 34693655 ↗
  • Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and Cancer Risk in White and Black Adults: A Prospective Cohort Study. Obesity (Silver Spring). 2021 Jun;29(6):960-965. doi: 10.1002/oby.23163. PubMed 34029447 ↗
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Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started May 2009 (actual). Primary completion is estimated for Feb 2050, 489 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 13, 2009
First posted
Aug 14, 2009
StartActual
May 2009
Primary completionEst.
Feb 2050
CompletionEst.
Feb 2050
Last update
Sep 24, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 24, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT00959270
Responsible party
Peter T. Katzmarzyk (Princiapal Investigator, Pennington Biomedical Research Center) — Principal investigator
First posted
Aug 14, 2009
Start date
May 2009
Primary completion
Feb 2050 (estimated)
Completion
Feb 2050 (estimated)
Last update
Sep 24, 2026

Study contacts

Peter Katzmarzyk, PhD
Contact
doctors@pbrc.edu
225-763-2563
Peter Katzmarzyk, PhD
principal investigator · Associate Executive director for Population Science

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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