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Items: 1 to 50 of 142

1.

Correction to: Challenges in the assessment of total fluid intake in children and adolescents: a discussion paper.

Warren J, Guelinckx I, Livingstone B, Potischman N, Nelson M, Foster E, Holmes B.

Eur J Nutr. 2018 Jul 5. doi: 10.1007/s00394-018-1761-7. [Epub ahead of print]

PMID:
29978379
2.

The Chinese Children and Families Cohort Study: The Nutrition, Physical Activity, and Ultraviolet Radiation Data Collection.

Potischman N, Fang L, Hao L, Bailey RR, Berrigan D, Berry RJ, Brodie A, Chao A, Chen J, Dodd K, Feng Y, Ma G, He Y, Fan J, Kimlin M, Kitahara C, Linet M, Li Z, Liu A, Liu Y, Sampson J, Su J, Sun J, Tasevska N, Yang L, Yang R, Zhang Q, Wang N, Wang L, Yu W.

Nutr Today. 2018 May-Jun;53(3):104-114. doi: 10.1097/NT.0000000000000275. Epub 2018 May 23.

3.

Challenges in the assessment of total fluid intake in children and adolescents: a discussion paper.

Warren J, Guelinckx I, Livingstone B, Potischman N, Nelson M, Foster E, Holmes B.

Eur J Nutr. 2018 Jun;57(Suppl 3):43-51. doi: 10.1007/s00394-018-1745-7. Epub 2018 Jun 12. Review. Erratum in: Eur J Nutr. 2018 Jul 5;:.

4.

Biomarker-Calibrated Total Sugars Intake and Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study.

Tasevska N, Pettinger M, Kipnis V, Midthune D, Tinker LF, Potischman N, Neuhouser ML, Beasley JM, Van Horn L, Howard BV, Liu S, Manson JE, Shikany JM, Thomson CA, Prentice RL.

Am J Epidemiol. 2018 Jun 4. doi: 10.1093/aje/kwy115. [Epub ahead of print]

PMID:
29868784
5.

Comparing Reported Dietary Supplement Intakes between Two 24-Hour Recall Methods: The Automated Self-Administered 24-Hour Dietary Assessment Tool and the Interview-Administered Automated Multiple Pass Method.

Pannucci TE, Thompson FE, Bailey RL, Dodd KW, Potischman N, Kirkpatrick SI, Alexander GL, Coleman LA, Kushi LH, Groesbeck M, Sundaram M, Clancy H, George SM, Kahle L, Subar AF.

J Acad Nutr Diet. 2018 Jun;118(6):1080-1086. doi: 10.1016/j.jand.2018.02.013.

PMID:
29803270
6.

Use of Iodine-Containing Dietary Supplements Remains Low among Women of Reproductive Age in the United States: NHANES 2011-2014.

Gupta PM, Gahche JJ, Herrick KA, Ershow AG, Potischman N, Perrine CG.

Nutrients. 2018 Mar 29;10(4). pii: E422. doi: 10.3390/nu10040422.

7.

Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.

Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, Baer DJ, Midthune D, Troiano RP, Bowles H, Subar AF.

Am J Clin Nutr. 2018 Jan 1;107(1):80-93. doi: 10.1093/ajcn/nqx002.

PMID:
29381789
8.

Dietary Supplement Use Was Very High among Older Adults in the United States in 2011-2014.

Gahche JJ, Bailey RL, Potischman N, Dwyer JT.

J Nutr. 2017 Oct;147(10):1968-1976. doi: 10.3945/jn.117.255984. Epub 2017 Aug 30.

PMID:
28855421
9.

Comparison of recruitment and retention among demographic subgroups in a large diverse population study of diet.

Alexander GL, Dixit-Joshi S, Kushi LH, Coleman LA, Sundaram ME, Clancy HA, Groesbeck M, Potischman NA, Kirkpatrick SI, Zimmerman TP, George SM, Subar AF, Thompson FE.

Contemp Clin Trials Commun. 2017 Jun;6:140-146. doi: 10.1016/j.conctc.2017.04.002. Epub 2017 Apr 10.

10.

A Cohort Study of Adolescent and Midlife Diet and Pancreatic Cancer Risk in the NIH-AARP Diet and Health Study.

Gordon-Dseagu VLZ, Thompson FE, Subar AF, Ruder EH, Thiébaut ACM, Potischman N, Stolzenberg-Solomon R.

Am J Epidemiol. 2017 Aug 1;186(3):305-317. doi: 10.1093/aje/kwx036.

11.

Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project.

Freedman LS, Commins JM, Willett W, Tinker LF, Spiegelman D, Rhodes D, Potischman N, Neuhouser ML, Moshfegh AJ, Kipnis V, Baer DJ, Arab L, Prentice RL, Subar AF.

Am J Epidemiol. 2017 Jul 1;186(1):73-82. doi: 10.1093/aje/kwx039.

12.

Energy balance and obesity: what are the main drivers?

Romieu I, Dossus L, Barquera S, Blottière HM, Franks PW, Gunter M, Hwalla N, Hursting SD, Leitzmann M, Margetts B, Nishida C, Potischman N, Seidell J, Stepien M, Wang Y, Westerterp K, Winichagoon P, Wiseman M, Willett WC; IARC working group on Energy Balance and Obesity.

Cancer Causes Control. 2017 Mar;28(3):247-258. doi: 10.1007/s10552-017-0869-z. Epub 2017 Feb 17.

13.

The Use of Digital Images in 24-Hour Recalls May Lead to Less Misestimation of Portion Size Compared with Traditional Interviewer-Administered Recalls.

Kirkpatrick SI, Potischman N, Dodd KW, Douglass D, Zimmerman TP, Kahle LL, Thompson FE, George SM, Subar AF.

J Nutr. 2016 Dec;146(12):2567-2573. Epub 2016 Nov 2.

14.

Strengthening the evidence base for nutrition and cancer in low and middle income countries.

Romieu I, Margetts B, Barquera S, Gomes Fda S, Gunter M, Hwalla N, Kampman E, Leitzmann M, Potischman N, Slimani N, Vorster E, Willett WC, Winichagoon P, Wiseman M; International Cancer Research Funders Nutrition Working Group.

J Glob Health. 2016 Dec;6(2):020306. doi: 10.7189/jogh.06.020306. No abstract available.

15.

Reply to NV Dhurandhar et al.

Subar AF, Freedman LS, Kirkpatrick SI, Boushey C, Potischman N, Guenther PM, Krebs-Smith SM.

J Nutr. 2016 May;146(5):1142-3. doi: 10.3945/jn.116.230854. No abstract available.

16.

Reliability of Questionnaire Data in the Distant Past: Relevance for Radiation Exposure Assessment.

Drozdovitch V, Kukhta T, Minenko V, Trofimik S, Bouville A, Potischman N.

Health Phys. 2016 Jan;110(1):74-92. doi: 10.1097/HP.0000000000000406.

17.

Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Subar AF, Freedman LS, Tooze JA, Kirkpatrick SI, Boushey C, Neuhouser ML, Thompson FE, Potischman N, Guenther PM, Tarasuk V, Reedy J, Krebs-Smith SM.

J Nutr. 2015 Dec;145(12):2639-45. doi: 10.3945/jn.115.219634. Epub 2015 Oct 14.

18.

Adolescent and mid-life diet and subsequent risk of thyroid cancer in the NIH-AARP diet and health study.

Braganza MZ, Potischman N, Park Y, Thompson FE, Hollenbeck AR, Kitahara CM.

Int J Cancer. 2015 Nov 15;137(10):2413-23. doi: 10.1002/ijc.29600. Epub 2015 Jun 22.

19.

Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems.

Thompson FE, Dixit-Joshi S, Potischman N, Dodd KW, Kirkpatrick SI, Kushi LH, Alexander GL, Coleman LA, Zimmerman TP, Sundaram ME, Clancy HA, Groesbeck M, Douglass D, George SM, Schap TE, Subar AF.

Am J Epidemiol. 2015 Jun 15;181(12):970-8. doi: 10.1093/aje/kwu467. Epub 2015 May 10.

20.

Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.

Freedman LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, Spiegelman D, Rhodes D, Potischman N, Neuhouser ML, Moshfegh AJ, Kipnis V, Arab L, Prentice RL.

Am J Epidemiol. 2015 Apr 1;181(7):473-87. doi: 10.1093/aje/kwu325. Epub 2015 Mar 18. Review.

21.

Reply to V Ha et al.

Tasevska N, Park Y, Subar AF, Potischman N.

Am J Clin Nutr. 2014 Nov;100(5):1400-1. doi: 10.3945/ajcn.114.094433. No abstract available.

22.

Use of a urinary sugars biomarker to assess measurement error in self-reported sugars intake in the nutrition and physical activity assessment study (NPAAS).

Tasevska N, Midthune D, Tinker LF, Potischman N, Lampe JW, Neuhouser ML, Beasley JM, Van Horn L, Prentice RL, Kipnis V.

Cancer Epidemiol Biomarkers Prev. 2014 Dec;23(12):2874-83. doi: 10.1158/1055-9965.EPI-14-0594. Epub 2014 Sep 18.

23.

Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.

Kirkpatrick SI, Subar AF, Douglass D, Zimmerman TP, Thompson FE, Kahle LL, George SM, Dodd KW, Potischman N.

Am J Clin Nutr. 2014 Jul;100(1):233-40. doi: 10.3945/ajcn.114.083238. Epub 2014 Apr 30.

24.

Sugars and risk of mortality in the NIH-AARP Diet and Health Study.

Tasevska N, Park Y, Jiao L, Hollenbeck A, Subar AF, Potischman N.

Am J Clin Nutr. 2014 May;99(5):1077-88. doi: 10.3945/ajcn.113.069369. Epub 2014 Feb 19.

25.

Perinatal characteristics and breast cancer risk in daughters: a Scandinavian population-based study.

Troisi R, Grotmol T, Jacobsen J, Tretli S, Toft-Sørensen H, Gissler M, Kaaja R, Potischman N, Ekbom A, Hoover RN, Stephansson O.

J Dev Orig Health Dis. 2013 Feb;4(1):35-41. doi: 10.1017/S2040174412000645.

26.

A comparison of migrants to, and women born in, urban Mongolia: demographic, reproductive, anthropometric and lifestyle characteristics.

Ganmaa D, Rich-Edwards JW, Frazier LA, Davaalkham D, Oyunbileg G, Janes C, Potischman N, Hoover R, Troisi R.

Int Health. 2013 Dec;5(4):244-50. doi: 10.1093/inthealth/iht020. Epub 2013 Aug 4.

27.

Invited commentary: are dietary intakes and other exposures in childhood and adolescence important for adult cancers?

Potischman N, Linet MS.

Am J Epidemiol. 2013 Jul 15;178(2):184-9. doi: 10.1093/aje/kwt101. Epub 2013 Jun 21.

28.

Pregnancy-related characteristics and breast cancer risk.

Brasky TM, Li Y, Jaworowicz DJ Jr, Potischman N, Ambrosone CB, Hutson AD, Nie J, Shields PG, Trevisan M, Rudra CB, Edge SB, Freudenheim JL.

Cancer Causes Control. 2013 Sep;24(9):1675-85. doi: 10.1007/s10552-013-0242-9. Epub 2013 Jun 5.

29.

Exposures in early life: associations with DNA promoter methylation in breast tumors.

Tao MH, Marian C, Shields PG, Potischman N, Nie J, Krishnan SS, Berry DL, Kallakury BV, Ambrosone C, Edge SB, Trevisan M, Winston J, Freudenheim JL.

J Dev Orig Health Dis. 2013 Apr;4(2):182-90. doi: 10.1017/S2040174412000694.

30.

Analysis of serum metabolic profiles in women with endometrial cancer and controls in a population-based case-control study.

Gaudet MM, Falk RT, Stevens RD, Gunter MJ, Bain JR, Pfeiffer RM, Potischman N, Lissowska J, Peplonska B, Brinton LA, Garcia-Closas M, Newgard CB, Sherman ME.

J Clin Endocrinol Metab. 2012 Sep;97(9):3216-23. doi: 10.1210/jc.2012-1490. Epub 2012 Jun 22.

31.

The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C, Willis G, Islam NG, Baranowski T, McNutt S, Potischman N.

J Acad Nutr Diet. 2012 Aug;112(8):1134-7. doi: 10.1016/j.jand.2012.04.016. Epub 2012 Jun 15. No abstract available.

32.

Challenges and opportunities in research on early-life events/exposures and cancer development later in life.

Mahabir S, Aagaard K, Anderson LM, Herceg Z, Hiatt RA, Hoover RN, Linet MS, Medina D, Potischman N, Tretli S, Trichopoulos D, Troisi R.

Cancer Causes Control. 2012 Jun;23(6):983-90. doi: 10.1007/s10552-012-9962-5. Epub 2012 Apr 25.

PMID:
22527169
33.

Reactivity and its association with body mass index across days on food checklists.

Kirkpatrick SI, Midthune D, Dodd KW, Potischman N, Subar AF, Thompson FE.

J Acad Nutr Diet. 2012 Jan;112(1):110-8. doi: 10.1016/j.jada.2011.10.004.

34.

Strength of the relationships between three self-reported dietary intake instruments and serum carotenoids: the Observing Energy and Protein Nutrition (OPEN) Study.

George SM, Thompson FE, Midthune D, Subar AF, Berrigan D, Schatzkin A, Potischman N.

Public Health Nutr. 2012 Jun;15(6):1000-7. doi: 10.1017/S1368980011003272. Epub 2012 Jan 10.

PMID:
22230252
35.

Adolescent and mid-life diet: risk of colorectal cancer in the NIH-AARP Diet and Health Study.

Ruder EH, Thiébaut AC, Thompson FE, Potischman N, Subar AF, Park Y, Graubard BI, Hollenbeck AR, Cross AJ.

Am J Clin Nutr. 2011 Dec;94(6):1607-19. doi: 10.3945/ajcn.111.020701. Epub 2011 Nov 9.

36.

Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.

Freedman LS, Midthune D, Carroll RJ, Tasevska N, Schatzkin A, Mares J, Tinker L, Potischman N, Kipnis V.

Am J Epidemiol. 2011 Dec 1;174(11):1238-45. doi: 10.1093/aje/kwr248. Epub 2011 Nov 1.

37.

Maternal angiogenic profile in pregnancies that remain normotensive.

Faupel-Badger JM, Staff AC, Thadhani R, Powe CE, Potischman N, Hoover RN, Troisi R.

Eur J Obstet Gynecol Reprod Biol. 2011 Oct;158(2):189-93. doi: 10.1016/j.ejogrb.2011.05.001.

38.

Association of serum sex steroid hormone hemodilution and body mass index among healthy postmenopausal women.

Yang HP, Black A, Falk RT, Brinton LA, Potischman N, Wentzensen N, Faupel-Badger JM, Sherman ME.

Ann Epidemiol. 2011 Jun;21(6):466-71. doi: 10.1016/j.annepidem.2011.01.003. Epub 2011 Mar 23.

39.

Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study.

Tasevska N, Jiao L, Cross AJ, Kipnis V, Subar AF, Hollenbeck A, Schatzkin A, Potischman N.

Int J Cancer. 2012 Jan 1;130(1):159-69. doi: 10.1002/ijc.25990. Epub 2011 May 25.

40.

Use of the predictive sugars biomarker to evaluate self-reported total sugars intake in the Observing Protein and Energy Nutrition (OPEN) study.

Tasevska N, Midthune D, Potischman N, Subar AF, Cross AJ, Bingham SA, Schatzkin A, Kipnis V.

Cancer Epidemiol Biomarkers Prev. 2011 Mar;20(3):490-500. doi: 10.1158/1055-9965.EPI-10-0820. Epub 2011 Jan 28. Erratum in: Cancer Epidemiol Biomarkers Prev. 2011 Dec;20(12):2646.

41.

Behavior and food consumption pattern of the population exposed in 1949-1962 to fallout from Semipalatinsk nuclear test site in Kazakhstan.

Drozdovitch V, Schonfeld S, Akimzhanov K, Aldyngurov D, Land CE, Luckyanov N, Mabuchi K, Potischman N, Schwerin MJ, Semenova Y, Tokaeva A, Zhumadilov Z, Bouville A, Simon SL.

Radiat Environ Biophys. 2011 Mar;50(1):91-103. doi: 10.1007/s00411-010-0334-9. Epub 2010 Oct 12.

42.

Gains in statistical power from using a dietary biomarker in combination with self-reported intake to strengthen the analysis of a diet-disease association: an example from CAREDS.

Freedman LS, Tasevska N, Kipnis V, Schatzkin A, Mares J, Tinker L, Potischman N.

Am J Epidemiol. 2010 Oct 1;172(7):836-42. doi: 10.1093/aje/kwq194. Epub 2010 Aug 17.

43.

The utility of focus group interviews to capture dietary consumption data in the distant past: dairy consumption in Kazakhstan villages 50 years ago - ERRATUM.

Schwerin M, Schonfeld S, Drozdovitch V, Akimzhanov K, Aldyngurov D, Bouville A, Land C, Luckyanov N, Mabuchi K, Semenova Y, Simon S, Tokaeva A, Zhumadilov Z, Potischman N.

J Dev Orig Health Dis. 2010 Aug;1(4):280. doi: 10.1017/S2040174410000395. No abstract available.

PMID:
25141876
44.

The utility of focus group interviews to capture dietary consumption data in the distant past: dairy consumption in Kazakhstan villages 50 years ago.

Schwerin M, Schonfeld S, Drozdovitch V, Akimzhanov K, Aldyngurov D, Bouville A, Land C, Luckyanov N, Mabuchi K, Semenova Y, Simon S, Tokaeva A, Zhumadilov Z, Potischman N.

J Dev Orig Health Dis. 2010 Jun;1(3):192-202. doi: 10.1017/S2040174410000243.

45.

Agreement between self-reported birth weight and birth certificate weights.

Jaworowicz DJ, Nie J, Bonner MR, Han D, Vito D, Hutson A, Potischman N, Trevisan M, Muti P, Freudenheim JL.

J Dev Orig Health Dis. 2010 Apr;1(2):106-13. doi: 10.1017/S2040174410000012.

PMID:
25143064
46.

Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?

Freedman LS, Kipnis V, Schatzkin A, Tasevska N, Potischman N.

Epidemiol Perspect Innov. 2010 Jan 20;7(1):2. doi: 10.1186/1742-5573-7-2.

47.

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).

Zimmerman TP, Hull SG, McNutt S, Mittl B, Islam N, Guenther PM, Thompson FE, Potischman NA, Subar AF.

J Food Compost Anal. 2009 Dec 1;22(Supplement 1):S48-S51.

48.

Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall.

Subar AF, Crafts J, Zimmerman TP, Wilson M, Mittl B, Islam NG, McNutt S, Potischman N, Buday R, Hull SG, Baranowski T, Guenther PM, Willis G, Tapia R, Thompson FE.

J Am Diet Assoc. 2010 Jan;110(1):55-64. doi: 10.1016/j.jada.2009.10.007.

49.

Anthropometric correlates of insulin-like growth factor 1 (IGF-1) and IGF binding protein-3 (IGFBP-3) levels by race/ethnicity and gender.

Faupel-Badger JM, Berrigan D, Ballard-Barbash R, Potischman N.

Ann Epidemiol. 2009 Dec;19(12):841-9. doi: 10.1016/j.annepidem.2009.08.005.

50.

Association of metabolic syndrome with insulin-like growth factors among adults in the US.

Saydah S, Ballard-Barbash R, Potischman N.

Cancer Causes Control. 2009 Oct;20(8):1309-16. doi: 10.1007/s10552-009-9351-x. Epub 2009 May 5.

PMID:
19415508

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