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Comparison of Measures of Fatty Acid Intake by Subcutaneous Fat Aspirate, Food Frequency Questionnaire, and Diet Records in a Free-living Population of US Men
Abstract
In 1986-1987, the authors assessed the fatty acid intake of 118 Boston-area men, aged 40-75 years, by a semiquantitative food frequency questionnaire administered twice, by two 7-day diet records, and by capillary gas chromatography of subcutaneous fat samples obtained by needle aspirate from the lateral buttock. Spearman correlation coefficients between diet record estimates of fatty acid intake (as a percentage of total fat) and fat aspirate measures (as a percentage of total peak area) were as follows: saturated fat, r = 0.16 (p = 0.09); monounsaturated fat, r = 0.22 (p = 0.01); and polyunsaturated fat, r = 0.49 (p = 0.0001). Spearman correlation coefficients between estimates derived from the food frequency questionnaire were as follows: saturated fat, r = 0.18 ( p = 0.05); monounsaturated fat, r = 0.14 (p = 0.14); polyunsaturated fat, r = 0.50 (p = 0.0001); and eicosapentaenoic acid, r = 0.47 (p = 0.0001). These data confirm that the polyunsaturated and eicosapentaenoic fatty acid content of subcutaneous fat is a measure of dietary intake of these fats. Although diet records are commonly thought to be the "gold standard" method of dietary assessment, the similar correlations observed between the fatty acid composition of adipose tissue and estimates of intake from the food frequency questionnaire and from diet records suggest that these two dietary assessment methods have similar validity in the measurement of polyunsaturated fatty acid intake.
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Citations
Cited by
Rimm, E. B., Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116211 · Cited by 2,104
Self-citationProspective study of alcohol consumption and risk of coronary disease in men.
Rimm, E. B., Giovannucci, E. L., Willett, W. C., Colditz, G. A., Ascherio, A., Rosner, B., & Stampfer, M. J. (1991) · The Lancet · doi:10.1016/0140-6736(91)90542-w · Cited by 1,239
Self-citationFish and Omega-3 Fatty Acid Intake and Risk of Coronary Heart Disease in Women
Hu, F. B. (2002) · JAMA · doi:10.1001/jama.287.14.1815 · Cited by 1,018
Marine n−3 Fatty Acids and Prevention of Cardiovascular Disease and Cancer
Manson, J. E., Cook, N. R., Lee, I.-M., Christen, W., Bassuk, S. S., Mora, S., Gibson, H., Albert, C. M., Gordon, D., Copeland, T., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1811403 · Cited by 979
Self-citationFish Consumption and Risk of Sudden Cardiac Death
Albert, C. M. (1998) · JAMA · doi:10.1001/jama.279.1.23 · Cited by 990
Dietary Fat and Meat Intake in Relation to Risk of Type 2 Diabetes in Men
van Dam, R. M., Willett, W. C., Rimm, E. B., Stampfer, M. J., & Hu, F. B. (2002) · Diabetes Care · doi:10.2337/diacare.25.3.417 · Cited by 593
Self-citationTrans Fatty Acids and Coronary Heart Disease
Ascherio, A., Katan, M. B., Zock, P. L., Stampfer, M. J., & Willett, W. C. (1999) · New England Journal of Medicine · doi:10.1056/nejm199906243402511 · Cited by 569
Self-citationPischon, T., Hankinson, S. E., Hotamisligil, G. S., Rifai, N., Willett, W. C., & Rimm, E. B. (2003) · Circulation · doi:10.1161/01.cir.0000079224.46084.c2 · Cited by 560
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Arab, L. (2003) · The Journal of Nutrition · doi:10.1093/jn/133.3.925s · Cited by 518
Association of Specific Dietary Fats With Total and Cause-Specific Mortality
Wang, D. D., Li, Y., Chiuve, S. E., Stampfer, M. J., Manson, J. E., Rimm, E. B., Willett, W. C., & Hu, F. B. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.2417 · Cited by 439
Self-citationAdherence to the Dietary Guidelines for Americans and risk of major chronic disease in men
McCullough, M. L., Feskanich, D., Rimm, E. B., Giovannucci, E. L., Ascherio, A., Variyam, J. N., Spiegelman, D., Stampfer, M. J., & Willett, W. C. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.5.1223 · Cited by 403
Self-citationProspective study of dietary fat and the risk of age-related macular degeneration
Cho, E., Hung, S., Willett, W. C., Spiegelman, D., Rimm, E. B., Seddon, J. M., Colditz, G. A., & Hankinson, S. E. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.2.209 · Cited by 350
Self-citationBaylin, A., Kim, M. K., Donovan-Palmer, A., Siles, X., Dougherty, L., Tocco, P., & Campos, H. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi213 · Cited by 264
Dietary ω-3 Fatty Acid and Fish Intake and Incident Age-Related Macular Degeneration in Women
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Rajpathak, S. N., Rimm, E. B., Rosner, B., Willett, W. C., & Hu, F. B. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn.83.3.559 · Cited by 116
Self-citationFat Consumption and HbA1c Levels
Harding, A.-H., Sargeant, L. A., Welch, A., Oakes, S., Luben, R. N., Bingham, S., Day, N. E., Khaw, K.-T., & Wareham, N. J. (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1911 · Cited by 86
Wu, J., Cho, E., Giovannucci, E. L., Rosner, B. A., Sastry, S. M., Willett, W. C., & Schaumberg, D. A. (2017) · Ophthalmology · doi:10.1016/j.ophtha.2016.12.033 · Cited by 74
“47.(22) Earlier validation studies in the NHS cohort had similar findings.”
van de Rest, O., Spiro, A., Krall-Kaye, E., Geleijnse, J. M., de Groot, L. C. P. G. M., & Tucker, K. L. (2009) · The Journal of Nutrition · doi:10.3945/jn.109.113647 · Cited by 65
Long-term Intake of trans-Fatty Acids and Risk of Gallstone Disease in Men
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Arsenault, L. N., Matthan, N., Scott, T. M., Dallal, G., Lichtenstein, A. H., Folstein, M. F., Rosenberg, I., & Tucker, K. L. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp089 · Cited by 36
Carstens, M. T., Goedecke, J. H., Dugas, L., Evans, J., Kroff, J., Levitt, N. S., & Lambert, E. V. (2013) · Nutrition & Metabolism · doi:10.1186/1743-7075-10-8 · Cited by 34
Metadata
- Authors
- Hunter, D. J., Rimm, E. B., Sacks, F. M., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1992-02-15
- Volume
- 135
- Issue
- 4
- Pages
- 418-427
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2145941565
- Cited by
- 277
- References
- 0
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- closed
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