1. Samuelson P. The Keynes centenary. The Economist. 1983;287: 19-21.
2. Pfeiffer CM, Sternberg MR, Schleicher RL, Haynes BM, Rybak ME, Pirkle JL. The CDC’s Second National Report on Biochemical Indicators of Diet and Nutrition in the U.S. Population is a valuable tool for researchers and policy makers. J Nutr. 2013; 143(6):938S-947S.
3. Gerrior S, Bente L, Hiza H. Nutrient Content of the U.S. Food Supply, 1909-2000. Washington, DC: Center for Nutrition Policy and Promotion, US Department of Agriculture; 2004: Home Economics Research Report No. 56.
4. Rajakumar K. Pellagra in the United States: a historical perspective. South Med J. 2000; 93(3):272-277.
5. CDC. National Report on Biochemical Indicators of Diet and Nutrition in the US Population 1999e2002. Atlanta, GA: National Center for Environmental Health; 2008.
6. Archer E. The childhood obesity epidemic as a result of nongenetic evolution: the maternal resources hypothesis. Mayo Clin Proc. 2015; 90(1):77-92.
7. Archer E. The mother of all problems. New Sci. 2015; 225:32-33.
8. Archer E. In reply_Maternal, paternal, and societal efforts are needed to “cure” childhood obesity. Mayo Clin Proc. 2015; 90(4):555-557.
9. Estimates of Funding for Various Research, Condition, and Disease Categories. Washington, DC: US Department of Health and Human Services; 2013.
10. American Association for the Advancement of Science. Historical trends in federal R&D. http://www.aaas.org/page/ historical-trends-federal-rd Accessed February 21, 2015.
11. Ioannidis JPA. Implausible results in human nutrition research [editorial]. BMJ. 2013; 347: f6698.
12. Taubes G. Epidemiology faces its limits. Science. 1995; 269(5221):164-169.
13. Schoeller DA, Thomas D, Archer E, et al. Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions. Am J Clin Nutr. 2013; 97(6):1413-1415.
14. Stampfer MJ, Hennekens CH, Manson JE, Colditz GA, Rosner B, Willett WC. Vitamin E consumption and the risk of coronary disease in women. N Engl J Med. 1993; 328(20):1444-1449.
15. Rimm EB, Stampfer MJ, Ascherio A, Giovannucci E, Colditz GA, Willett WC. Vitamin E consumption and the risk of coronary heart disease in men. N Engl J Med. 1993; 328(20):1450-1456.
16. Tatsioni A, Bonitsis NG, Ioannidis JP. Persistence of contradicted claims in the literature. JAMA. 2007; 298(21):2517-2526.
17. Young SS, Karr A. Deming, data and observational studies. Significance. 2011; 8(3):116-120.
18. Moorthy D, Chung M, Lee J, Yu WW, Lau J, Trikalinos TA. Concordance Between the Findings of Epidemiological Studies and Randomized Trials in Nutrition: An Empirical Evaluation and Citation Analysis. Rockville, MD: Agency for Healthcare Research and Quality; 2013: Nutritional Research Series; vol 6.
19. Prentice RL. Clinical trials and observational studies to assess the chronic disease benefits and risks of multivitamin-multimineral supplements. Am J Clin Nutr. 2007; 85(1):308S-313S.
20. Druesne-Pecollo N, Latino-Martel P, Norat T, et al. Betacarotene supplementation and cancer risk: a systematic review and metaanalysis of randomized controlled trials. Int J Cancer. 2010; 127(1):172-184.
21. Schatzkin A, Mouw T, Park Y, et al. Dietary fiber and wholegrain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study. Am J Clin Nutr. 2007; 85(5):1353-1360.
22. Schoenfeld JD, Ioannidis JP. Is everything we eat associated with cancer? a systematic cookbook review. Am J Clin Nutr. 2013; 97(1):127-134.
23. Rowe S, Alexander N. Are nutrtion scientists communicating worse or has the situation just gotten more complicated? Nutr Today. 2013; 48(6):251-254.
24. Archer E. A wolf in sheep’s clothing. TheScientist website. http://www.the-scientist.com/?articles.view/articleNo/37918/title/OpinioneA-Wolf-in-Sheep-s-Clothing. Published October 22, 2013. Accessed February 21, 2015.
25. Oparil S. Low sodium intake: cardiovascular health benefit or risk? N Engl J Med. 2014;371(7):677-679.
26. Keys A, Aravanis C, Blackburn HW, et al. Epidemiological studies related to coronary heart disease: characteristics of men aged 40-59 in seven countries. Acta Med Scand Suppl. 1966; 460:1-392.
27. Ravnskov U. The questionable role of saturated and polyunsaturated fatty acids in cardiovascular disease. J Clin Epidemiol. 1998; 51(6):443-460.
28. Sievenpiper JL, de Souza RJ, Kendall CW, Jenkins DJ. Is fructose a story of mice but not men? J Am Diet Assoc. 2011; 111(2): 219-220:author reply 220-212.
29. David Wang D, Sievenpiper JL, de Souza RJ, et al. Effect of fructose on postprandial triglycerides: a systematic review and meta-analysis of controlled feeding trials. Atherosclerosis. 2014; 232(1):125-133.
30. Dietary Guidelines Advisory Committee. Scientific Report of the 2015 Dietary Guidelines Advisory Committee. Washington, DC: US Dept of Health and Human Services and US Dept of Agriculture; 2015.
31. Thompson FE, Subar AF. Dietary assessment methodology. In: Coulston AM, Boushey CJ, eds. Nutrition in the Prevention and Treatment of Disease. 2nd ed. San Diego, CA: Academic Press; 2008:3-30.
32. Willett W. Nutritional Epidemiology. 2nd ed. New York, NY: Oxford University Press; 1990.
33. Archer E, Hand GA, Blair SN. Validity of U.S. nutritional surveillance: National Health and Nutrition Examination Survey caloric energy intake data, 1971-2010. PLoS One. 2013; 8(10):e76632.
34. Dwyer J, Picciano MF, Raiten DJ. Estimation of usual intakes: What We Eat in America-NHANES. J Nutr. 2003; 133(2): 609S-623S.
35. Lissner L, Troiano RP, Midthune D, et al. OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI. Int J Obes (Lond). 2007; 31(6):956-961.
36. Freedman LS, Commins JM, Moler JE, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014; 180(2):172-188.
37. Schoeller DA. Limitations in the assessment of dietary energy intake by self-report. Metabolism. 1995; 44(2 suppl 2):18-22.
38. Subar AF, Kipnis V, Troiano RP, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003; 158(1):1-13.
39. Goris AH, Westerterp-Plantenga MS, Westerterp KR. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr. 2000; 71(1):130-134.
40. Scagliusi FB, Polacow VO, Artioli GG, Benatti FB, Lancha AH Jr. Selective underreporting of energy intake in women: magnitude, determinants, and effect of training. J Am Diet Assoc. 2003; 103(10):1306-1313.
41. Heitmann BL, Lissner L. Can adverse effects of dietary fat intake be overestimated as a consequence of dietary fat underreporting? Public Health Nutr. 2005; 8(8):1322-1327.
42. Heitmann BL, Lissner L, Osler M. Do we eat less fat, or just report so? Int J Obes Relat Metab Disord. 2000; 24(4):435-442.
43. Heitmann BL, Milman N, Hansen GL. Relationship between dietary iron intake, corrected for diet reporting error, and serum ferritin in Danish women aged 35-65 years. Br J Nutr. 1996; 75(6):905-913.
44. Black AE, Goldberg GR, Jebb SA, Livingstone MB, Cole TJ, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology, 2: evaluating the results of published surveys. Eur J Clin Nutr. 1991; 45(12): 583-599.
45. Goldberg GR, Black AE, Jebb SA, et al. Critical evaluation of energy intake data using fundamental principles of energy physiology, 1: derivation of cut-off limits to identify underrecording. Eur J Clin Nutr. 1991; 45(12):569-581.
46. Hébert J, Hurley TG, Steck SE, et al. Considering the value of dietary assessment data in informing nutrition-related health policy. Adv Nutr. 2014; 5(4):447-455.
47. Johnson MK, Raye CL, Mitchell KJ, Ankudowich E. The cognitive neuroscience of true and false memories. Nebr Symp Motiv. 2012; 58:15-52.
48. Schacter DL. Constructive memory: past and future. Dialogues Clin Neurosci. 2012; 14(1):7-18.
49. Schacter DL, Slotnick SD. The cognitive neuroscience of memory distortion. Neuron. 2004; 44(1):149-160.
50. Patihis L, Frenda SJ, LePort AKR, et al. False memories in highly superior autobiographical memory individuals. Proc Natl Acad Sci U S A. 2013; 110(52):20947-20952.
51. Schooler JW. The distinctions of false and fuzzy memories. J Exp Child Psychol. 1998; 71(2):130-143.
52. Loftus E. Our changeable memories: legal and practical implications. Nat Rev Neurosci. 2003; 4(3):231-234.
53. Goff L, Roediger H. Imagination inflation for action events: repeated imaginings lead to illusory recollections. Mem Cognit. 1998; 26(1):20-33.
54. Brockmeier J. After the archive: remapping memory. Culture Psychol. 2010; 16(1):5-35.
55. Bernstein DM, Loftus EF. The consequences of false memories for food preferences and choices. Perspect Psychol Sci. 2009; 4(2):135-139.
56. Loftus EF. The malleability of human memory. Am Sci. 1979; 67(3):312-320.
57. Schacter DL, Loftus EF. Memory and law: what can cognitive neuroscience contribute? Nat Neurosci. 2013; 16(2):119-123.
58. Bernard HR, Killworth P, Kronenfeld D, Sailer L. The problem of informant accuracy: the validity of retrospective data. Annu Rev Anthropol. 1984; 13(1): 495-517.
59. Centers for Disease Control and Prevention. NHANES MEC in-person dietary interviewers procedures manual. http://www.cdc.gov/nchs/data/nhanes/nhanes_09_10/DietaryInter
viewers_Inperson.pdf. Published January 2009. Accessed August 9, 2014.
60. Shaw J, Porter S. Constructing rich false memories of committing crime. Psychol Sci. 2015; 26(3):291-301.
61. Bernstein DM, Laney C, Morris EK, Loftus EF. False beliefs about fattening foods can have healthy consequences. Proc Natl Acad Sci U S A. 2005; 102(39):13724-13731.
62. Platt JR. Strong inference: certain systematic methods of scientific thinking may produce much more rapid progress than others. Science. 1964; 146(3642): 347-353.
63. Sober E. Philosophy of Biology. Boulder, CO: Westview Press; 1993.
64. Popper K. Conjectures and Refutations: The Growth of Scientific Knowledge. London, England: Routledge; 2004/1965.
65. Popper KR. The Logic of Scientific Discovery. London, England: Hutchinson; 1959.
66. Popper KR. Objective Knowledge: An Evolutionary Approach. New York, NY: Oxford University Press; 1972.
67. Heitmann BL. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Implications for diet disease relationships. Int J Epidemiol. 1996; 25(1):222-225.
68. Michell J. Measurement: a beginner’s guide. J Appl Meas. 2003; 4(4):298-308.
69. Straube B. An overview of the neuro-cognitive processes involved in the encoding, consolidation, and retrieval of true and false memories. Behav Brain Funct. 2012; 8:35.
70. Schacter D. The Seven Sins of Memory. Boston, MA: Houghton Mifflin Harcourt; 2001.
71. Mencken HL. Counter-Offensive. The American Mercury Magazine. Vol May. Whitefish, MT: Kessinger Publishing, LLC; 1926: 123-124.
72. Black AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate: a practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord. 2000; 24(9):1119-1130.
73. Institute of Medicine. Report of the Panel on Macronutrients: Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients). Washington DC: The National Academies Press; 2005.
74. Satija A, Yu E, Willett WC, Hu FB. Understanding nutritional epidemiology and its role in policy. Adv Nutr. 2015; 6(1):5-18.
75. Dhurandhar NV, Schoeller D, Brown AW, et al. Energy balance measurement: when something is not better than nothing [published online November 13, 2014]. Int J Obes (Lond).
76. Archer E, Blair SN. Implausible data, false memories, and the status quo in dietary assessment. Adv Nutr. 2015; 6(2):229-230.
77. Beaudoin R, Mayer J. Food intakes of obese and non-obese women. J Am Diet Assoc. 1953; 29(1):29-33.
78. Bellach B, Kohlmeier L. Energy adjustment does not control for differential recall bias in nutritional epidemiology. J Clin Epidemiol. 1998; 51(5):393-398.
79. Ferrari P, Slimani N, Ciampi A, et al. Evaluation of under and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr. 2002;
80. Orcholski L, Luke A, Plange-Rhule J, et al. Under-reporting of dietary energy intake in five populations of the African diaspora. Br J Nutr. 2015; 113(3):464-472.
81. Forrestal SG. Energy intakemisreporting among children and adolescents: a literature review.Matern Child Nutr. 2011; 7(2):112-127.
82. Pomerleau J, Ostbye T, Bright-See E. Potential underreporting of energy intake in the Ontario Health Survey and its relationship with nutrient and food intakes. Eur J Epidemiol. 1999; 15(6):553-557.
83. Poslusna K, Ruprich J, de Vries JH, Jakubikova M, van’t Veer P. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr. 2009; 101(suppl 2):S73-S85.
84. Banna JC, Fialkowski MK, Townsend MS. Misreporting of dietary intake affects estimated nutrient intakes in low-income Spanish-speaking women [published online August 12, 2014]. J Acad Nutr Diet
85. Hill RJ, Davies PS. The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr. 2001; 85(4):415-430.
86. Lafay L, Mennen L, Basdevant A, et al. Does energy intake underreporting involve all kinds of food or only specific food items? results from the Fleurbaix Laventie Ville Sante (FLVS) study. Int J Obes Relat Metab Disord. 2000; 24(11):
87. Westerterp KR, Goris AH. Validity of the assessment of dietary intake: problems of misreporting. Curr Opin Clin Nutr Metab Care. 2002; 5(5):489-493.
88. Krebs-Smith SM, Graubard BI, Kahle LL, Subar AF, Cleveland LE, Ballard-Barbash R. Low energy reporters vs others: a comparison of reported food intakes. Eur J Clin Nutr. 2000; 54(4):281-287.
89. Livingstone MB, Black AE. Markers of the validity of reported energy intake. J Nutr. 2003; 133(suppl 3):895S-920S.
90. Schacter DL, Norman KA, Koutstaal W. The cognitive neuroscience of constructive memory. Annu Rev Psychol. 1998; 49: 289-318.
91. Johnson MK. Memory and reality. Am Psychol. 2006; 61(8):760-771.
92. Gallo DA. False memories and fantastic beliefs: 15 years of the DRM illusion. Mem Cognit. 2010; 38(7):833-848.
93. Bartlett FC. Remembering: A Study in Experimental and Social Psychology. Cambridge, England: Cambridge University Press; 1932.
94. Storms MD, Nisbett RE. Insomnia and the attribution process. J Pers Soc Psychol. 1970; 16(2):319-328.
95. Zimbardo PG, Cohen A, Weisenberg M, Dworkin L, Firestone I. The control of experimental pain. In: Zimbardo PG, ed. The Cognitive Control of Motivation. Glenview, IL: Foresman; 1969.
96. Mandler JM. Categorical and schematic organization in memory. In: Puff CR, ed. Memory Organization and Structure. New York, NY: Academic Press; 1979.
97. Freeman LC, Romney AK, Freeman SC. Cognitive structure and informant accuracy. Am Anthropologist. 1987; 89(2):310- 325.
98. Kronenfeld DB, Kronenfeld J, Kronenfeld JE. Toward a science of design for successful food service. Inst Vol Feed Manage. 1972; 70(11):38-44.
99. Gallo DA, Roberts MJ, Seamon JG. Remembering words not presented in lists: can we avoid creating false memories? Psychon Bull Rev. 1997; 4(2):271-276.
100. Cann DR, McRae K, Katz AN. False recall in the Deese-Roediger-McDermott paradigm: the roles of gist and associative strength. Q J Exp Psychol. 2011; 64(8):1515-1542.
101. Besnard A, Caboche J, Laroche S. Reconsolidation of memory: a decade of debate. Prog Neurobiol. 2012;99(1):61-80.
102. Schwabe L, Nader K, Pruessner JC. Reconsolidation of human memory: brain mechanisms and clinical relevance. Biol Psychiatry. 2014; 76(4):274-280.
103. Mojet J, Köster EP. Sensory memory and food texture. Food Qual Preference. 2005; 16(3):251-266.
104. Deese J. On the prediction of occurrence of particular verbal intrusions in immediate recall. J Exp Psychol. 1959; 58(1):17-22.
105. Roediger HL, McDermott KB. Creating false memories: remembering words not presented in lists. J Exp Psychol Learn Mem Cogn. 1995; 21(4):803-814.
106. Molag ML, de Vries JHM, Ocké MC, et al. Design characteristics of food frequency questionnaires in relation to their validity. Am J Epidemiol. 2007; 166(12):1468-1478.
107. Neuhouser ML, Tinker L, Shaw PA, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women’s Health Initiative. Am J Epidemiol. 2008;167(10): 1247-1259.
108. Berger MA. What has a decade of Daubert wrought? Am J Public Health. 2005; 95(suppl 1):S59-S65.
109. Krimsky S. The weight of scientific evidence in policy and law. Am J Public Health. 2005;95(suppl 1):S129-S136.
110. McLean v. Arkansas Board of Education, 529 F. Sup. 1255,
1258-1264; E.D. Ark. 1982.
111. Bacon F. Of the Proficience and Advancement of Learning, Divine and Human. London, England: J.W. Parker and Son; 1605/ 1852.
112. Newton I. The Principia: Mathematical Principles of Natural Philosophy. Berkeley, CA: University of California Press; 1687/ 1999.
113. Horace. (Quintus Horatius Flaccus), Epistulae, Book I. http://www.thelatinlibrary.com/horace/epist1.shtml. Accessed April 2015.
114. Peierls RE. Wolfgang Ernst Pauli: 1900-1958. Biographical Memoirs Fellows Roy Soc. 1960; 5:174-192.
115. Schuster A. The Progress of Physics. Cambridge, England: Cambridge University Press; 1911.
116. Crane NT, Lewis CJ, Yetley EA. Do time trends in food supply levels of macronutrients reflect survey estimates of macronutrient intake? Am J Public Health. 1992; 82(6):862-866.
117. Serra-Majem L, MacLean D, Ribas L, et al. Comparative analysis of nutrition data from national, household, and individual levels: results from a WHO-CINDI collaborative project in Canada, Finland, Poland, and Spain. J Epidemiol Community Health. 2003; 57(1):74-80.
118. Serra-Majem L. Food availability and consumption at national, household and individual levels: implications for food-based dietary guidelines development. Public Health Nutr. 2001; 4(2B):673-676.
119. Rodriguez-Artalejo F, Banegas JR, Graciani A, Hernandez-Vecino R, del Rey-Calero J. Food supply versus household survey data: nutrient consumption trends for Spain, 1958-1988. Eur J Epidemiol. 1996; 2(4):367-371.
120. Matsumura Y. Nutrition trends in Japan. Asia Pac J Clin Nutr. 2001; 10(suppl):S40-S47.
121. Blair SN. Physical inactivity: the biggest public health problem of the 21st century. Br J Sports Med. 2009; 43(1):1-2.
122. Archer E, Blair SN. Physical activity and the prevention of cardiovascular disease: from evolution to epidemiology. Prog Cardiovasc Dis. 2011; 53(6):387-396.
123. Blair SN, Kohl HW III, Paffenbarger RS Jr, Clark DG, Cooper KH, Gibbons LW. Physical fitness and all-cause mortality: a prospective study of healthy men and women. JAMA. 1989;262(17):2395-2401.
124. Krogh-Madsen R, Thyfault JP, Broholm C, et al. A 2-wk reduction of ambulatory activity attenuates peripheral insulin sensitivity. J Appl Physiol. 2010; 108(5):1034-1040.
125. Thyfault JP, Krogh-Madsen R. Metabolic disruptions induced by reduced ambulatory activity in free-living humans. J Appl Physiol (1985). 2011; 111(4):1218-1224.
126. Bergouignan A, Kealey EH, Schmidt SL, Jackman MR, Bessesen DH. Twenty-four hour total and dietary fat oxidation in lean, obese and reduced-obese adults with and without a bout of exercise. PLoS One. 2014; 9(4):e94181.
127. Bergouignan A, Momken I, Schoeller DA, et al. Regulation of energy balance during long-term physical inactivity induced by bed rest with and without exercise training. J Clin Endocrinol Metab. 2010; 95(3):1045-1053.
128. Bergouignan A, Rudwill F, Simon C, Blanc S. Physical inactivity as the culprit of metabolic inflexibility: evidence from bed-rest studies. J Appl Physiol (1985). 2011; 111(4): 1201-1210.
129. Bergouignan A, Schoeller DA, Normand S, et al. Effect of physical inactivity on the oxidation of saturated and monounsaturated dietary fatty acids: results of a randomized trial. PLoS Clin Trials. 2006; 1(5):e27.
130. Bergouignan A, Trudel G, Simon C, et al. Physical inactivity differentially alters dietary oleate and palmitate trafficking. Diabetes. 2009; 58(2):367-376.
131. Food and Agriculture Organization. Calorie Requirements: Report on the Second Committee on Calorie Requirements. Rome, Italy: Food and Agriculture Organization; 1957:Nutrition Studies No. 15.
132. FAO/WHO/UNU. Energy and Protein Requirements. Geneva, Switzerland: World Health Organization; 1985:WHO Technical Report Series 724.
133. Archer E, Hand GA, Hébert JR, et al. Validation of a novel protocol for calculating estimated energy requirements and average daily physical activity ratio for the U.S. population: 2005-2006. Mayo Clin Proc. 2013; 88(12):1398-1407.
134. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;
135. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major noncommunicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012; 380(9838):219-229.
136. LaMonte MJ, Blair SN, Church TS. Physical activity and diabetes prevention. J Appl Physiol. 2005;99(3):1205-1213. 137. Sui X, Lee DC, Matthews CE, et al. Influence of cardiorespiratory fitness on lung cancer mortality. Med Sci Sports Exerc.
138. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008; 5:56.
139. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003; 37(3):197- 206:discussion 206.
140. Trost SG, McIver KL, Pate RR. Conducting accelerometer based activity assessments in field-based research. Med Sci Sports Exerc. 2005; 37(11 suppl):S531-S543.
141. Pedisic Z, Bauman A. Accelerometer-based measures in physical activity surveillance: current practices and issues. Br J SportsMed. 2015; 49(4):219-223.
142. Hume D. An enquiry concerning human understanding, and concerning the principles of morals. In: Ingram J, ed. The Project Gutenberg. http://www.gutenberg.org/files/9662/9662-h/9662-
h.htm. Accessed February 22, 2015.
143. Dietary Guidelines Advisory Committee. Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010. Springfield, VA: US Dept of Agriculture, US Dept of Health and Human Services; 2010.
144. Hoyert DL. 75 Years of Mortality in the United States, 1935e2010. Hyattsville, MD: National Center for Health Statistics; 2012:NCHS Data Brief No. 88.
145. Members WG, Roger VL, Go AS, et al. Heart disease and stroke statisticsd2012 update: a report from the American Heart Association. Circulation. 2012;125(1):e2-e220.
146. Cooper R, Cutler J, Desvigne-Nickens P, et al. Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the National Conference on Cardiovascular Disease Prevention. Circulation 2000; 102(25):3137-3147.
147. Edwards BK, Noone A-M, Mariotto AB, et al. Annual report to the nation on the status of cancer, 1975-2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120(9):1290-1314.
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