Trends in Lipids and Lipoproteins in US Adults, 1988-2010
Abstract
Context Serum total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) contribute to atherosclerosis and its clinical consequences. Between the periods 1988-1994 and 1999-2002, mean TC and mean LDL-C declined in adults. During this time, there was an increase in the percentage of adults receiving lipid-lowering medications. Geometric mean triglyceride levels increased but mean high-density lipoprotein cholesterol (HDL-C) remained unchanged. OBJECTIVE To examine trends in serum lipids in adults between 1988 and 2010. DESIGN, SETTING, AND PARTICIPANTS Three distinct US cross-sectional National Health and Nutrition Examination Surveys, 1988-1994 (n = 16,573), 1999-2002 (n = 9471), and 2007-2010 (n = 11,766). Main outcome measures Mean TC, LDL-C, HDL-C, non-HDL-C, and geometric mean triglyceride levels and the prevalence of lipid-lowering medication use. Results Mean TC declined from 206 (95% CI, 205-207) mg/dL in 1988-1994 to 196 (95% CI, 195-198) mg/dL in 2007-2010 (P Conclusion Between 1988 and 2010, favorable trends in lipid levels have occurred among adults in the United States.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Reference intervals for biomarkers can sometimes deviate considerably by reported ethnicity.
“Consequently, reference intervals for biomarkers can sometimes deviate considerably by reported ethnicity66–68.”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [66]
Cites
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646 · see citing works
Hypertriglyceridemia as a cardiovascular risk factor
Austin, M. A., Hokanson, J. E., & Edwards, K. L. (1998) · The American Journal of Cardiology · doi:10.1016/s0002-9149(98)00031-9 · Cited by 1,066 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591 · see citing works
Self-citationHeart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036 · see citing works
Self-citationHeart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146 · see citing works
Self-citationHeart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., de Ferranti, S., Després, J.-P., Fullerton, H. J., Howard, V. J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000152 · Cited by 5,797 · see citing works
Self-citationClinical use of current polygenic risk scores may exacerbate health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2019) · Nature Genetics · doi:10.1038/s41588-019-0379-x · Cited by 2,831 · see citing works
Interpretation of the evidence for the efficacy and safety of statin therapy
Collins, R., Reith, C., Emberson, J., Armitage, J., Baigent, C., Blackwell, L., Blumenthal, R., Danesh, J., Smith, G. D., DeMets, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31357-5 · Cited by 1,857 · see citing works
Metabolism disrupting chemicals and metabolic disorders
Heindel, J. J., Blumberg, B., Cave, M., Machtinger, R., Mantovani, A., Mendez, M. A., Nadal, A., Palanza, P., Panzica, G., Sargis, R., et al. (2017) · Reproductive Toxicology · doi:10.1016/j.reprotox.2016.10.001 · Cited by 1,101 · see citing works
Wilmot, K. A., O’Flaherty, M., Capewell, S., Ford, E. S., & Vaccarino, V. (2015) · Circulation · doi:10.1161/circulationaha.115.015293 · Cited by 522 · see citing works
Impact of Lipids on Cardiovascular Health
Ference, B. A., Graham, I., Tokgozoglu, L., & Catapano, A. L. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.06.046 · Cited by 511 · see citing works
de Ferranti, S. D., Rodday, A. M., Mendelson, M. M., Wong, J. B., Leslie, L. K., & Sheldrick, R. C. (2016) · Circulation · doi:10.1161/circulationaha.115.018791 · Cited by 380 · see citing works
Racial/ethnic differences in dyslipidemia patterns
Frank, A. T. H., Zhao, B., Jose, P. O., Azar, K. M. J., Fortmann, S. P., & Palaniappan, L. P. (2014) · Circulation · doi:10.1161/circulationaha.113.005757 · Cited by 327 · see citing works
Odutayo, A., Gill, P., Shepherd, S., Akingbade, A., Hopewell, S., Tennankore, K., Hunn, B. H., & Emdin, C. A. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2017.1658 · Cited by 155 · see citing works
Egan, B. M., Li, J., Qanungo, S., & Wolfman, T. E. (2013) · Circulation · doi:10.1161/circulationaha.112.000500 · Cited by 150 · see citing works
Lawler, P. R., Kotrri, G., Koh, M., Goodman, S. G., Farkouh, M. E., Lee, D. S., Austin, P. C., Udell, J. A., & Ko, D. T. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz767 · Cited by 113 · see citing works
Current clinical use of polygenic scores will risk exacerbating health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2018) · doi:10.1101/441261 · Cited by 2,813 · see citing works
Lipworth, L., Fazio, S., Kabagambe, E., Munro, H., Nwazue, V., Tarone, R., McLaughlin, J., Blot, W., & Sampson, U. (2013) · Clinical Epidemiology · doi:10.2147/clep.s53492 · Cited by 26 · see citing works
Truthmann, J., Schienkiewitz, A., Busch, M. A., Mensink, G. B. M., Du, Y., Bosy-Westphal, A., Knopf, H., & Scheidt-Nave, C. (2016) · BMC Public Health · doi:10.1186/s12889-016-2826-2 · Cited by 27 · see citing works
Sydhom, P., Al-Quraishi, B., Gohar, A., El-Shawaf, M., Shehata, N., Ataya, M., Sydhom, M., Awwad, N., Motawade, H., Naji, N., et al. (2026) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-025-07798-8 · Cited by 5 · see citing works
“Over recent decades, the prevalence of hypertriglyceridemia has risen to levels comparable to those of type 2 diabetes and obesity [3 ], particularly affecting one-third of adult men and one-fifth of women, with risk increasing with age [ 4].”
- Authors
- Carroll, M. D., Kit, B. K., Lacher, D. A., Shero, S. T., & Mussolino, M. E.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2012-10-17
- Volume
- 308
- Issue
- 15
- Pages
- 1545
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2040719017
- Cited by
- 282
- References
- 2
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 13 · 2023: 13 · 2022: 15 · 2021: 17 · 2020: 21 · 2019: 20 · 2018: 20 · 2017: 29 · 2016: 26 · 2015: 26 · 2014: 32 · 2013: 30 · 2012: 4
- FWCI
- 29.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (Y1-HC-8039)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Keywords
- serum lipids, total cholesterol, LDL cholesterol, HDL cholesterol, non-HDL cholesterol, triglycerides, atherosclerosis, cardiovascular risk, NHANES, adults, United States, temporal trends, sex differences, age differences, racial and ethnic differences, socioeconomic status
- MeSH terms
- Adult, Aged, Hypolipidemic Agents, Cross-Sectional Studies, Female, Humans, Hyperlipidemias, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Nutrition Surveys, Obesity, Triglycerides, United States, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review