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Items: 1 to 20 of 99

1.

Multi-center feasibility study evaluating recruitment, variability in risk factors and biomarkers for a diet and cancer cohort in India.

Sinha R, Daniel CR, Devasenapathy N, Shetty H, Yurgalevitch S, Ferrucci LM, George PS, Morrissey KG, Ramakrishnan L, Graubard BI, Kapur K, Reddy KS, McAdams MJ, Rastogi T, Chatterjee N, Gupta PC, Wacholder S, Prabhakaran D, Mathew AA.

BMC Public Health. 2011 May 27;11:405. doi: 10.1186/1471-2458-11-405.

2.

A cross-sectional investigation of regional patterns of diet and cardio-metabolic risk in India.

Daniel CR, Prabhakaran D, Kapur K, Graubard BI, Devasenapathy N, Ramakrishnan L, George PS, Shetty H, Ferrucci LM, Yurgalevitch S, Chatterjee N, Reddy KS, Rastogi T, Gupta PC, Mathew A, Sinha R.

Nutr J. 2011 Jan 28;10:12. doi: 10.1186/1475-2891-10-12.

3.
4.

The American Cancer Society Cancer Prevention Study II Nutrition Cohort: rationale, study design, and baseline characteristics.

Calle EE, Rodriguez C, Jacobs EJ, Almon ML, Chao A, McCullough ML, Feigelson HS, Thun MJ.

Cancer. 2002 Jan 15;94(2):500-11. Corrected and republished in: Cancer. 2002 May 1;94(9):2490-501.

5.

Dietary patterns in middle-aged Irish men and women defined by cluster analysis.

Villegas R, Salim A, Collins MM, Flynn A, Perry IJ.

Public Health Nutr. 2004 Dec;7(8):1017-24.

PMID:
15548339
6.

Risk factors for gastric cancer in South India.

Sumathi B, Ramalingam S, Navaneethan U, Jayanthi V.

Singapore Med J. 2009 Feb;50(2):147-51.

7.

Adverse profile of dietary nutrients, anthropometry and lipids in urban slum dwellers of northern India.

Misra A, Sharma R, Pandey RM, Khanna N.

Eur J Clin Nutr. 2001 Sep;55(9):727-34.

8.

Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II.

Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, Mehrabi Y, Zahedi-Asl S; Tehran Lipid and Glucose Study Group.

Trials. 2009 Jan 25;10:5. doi: 10.1186/1745-6215-10-5.

9.

The association between food patterns and the metabolic syndrome using principal components analysis: The ATTICA Study.

Panagiotakos DB, Pitsavos C, Skoumas Y, Stefanadis C.

J Am Diet Assoc. 2007 Jun;107(6):979-87; quiz 997.

PMID:
17524719
10.

Food consumption patterns in a mediterranean region: does the mediterranean diet still exist?

Tur JA, Romaguera D, Pons A.

Ann Nutr Metab. 2004;48(3):193-201. Epub 2004 Jul 12.

PMID:
15256802
11.

Development of a field-friendly automated dietary assessment tool and nutrient database for India.

Daniel CR, Kapur K, McAdams MJ, Dixit-Joshi S, Devasenapathy N, Shetty H, Hariharan S, George PS, Mathew A, Sinha R.

Br J Nutr. 2014 Jan 14;111(1):160-71. doi: 10.1017/S0007114513001864.

PMID:
23796477
12.

Assessment of follow-up, and the completeness and accuracy of cancer case ascertainment in three areas of India.

Mathew A, Daniel CR, Ferrucci LM, Seth T, Devesa SS, George PS, Shetty H, Devasenapathy N, Yurgalevitch S, Rastogi T, Prabhakaran D, Gupta PC, Chatterjee N, Sinha R.

Cancer Epidemiol. 2011 Aug;35(4):334-41. doi: 10.1016/j.canep.2011.03.006. Epub 2011 May 28.

13.

The Canadian Study of Diet, Lifestyle, and Health: design and characteristics of a new cohort study of cancer risk.

Rohan TE, Soskolne CL, Carroll KK, Kreiger N.

Cancer Detect Prev. 2007;31(1):12-7. Epub 2007 Feb 15.

PMID:
17303348
14.

Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.

Colditz GA.

Crit Rev Food Sci Nutr. 2010;50 Suppl 1:10-2. doi: 10.1080/10408398.2010.526838.

15.

Genetics of dietary habits and obesity - a twin study.

Hasselbalch AL.

Dan Med Bull. 2010 Sep;57(9):B4182.

PMID:
20816022
16.

Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations.

Guertin KA, Moore SC, Sampson JN, Huang WY, Xiao Q, Stolzenberg-Solomon RZ, Sinha R, Cross AJ.

Am J Clin Nutr. 2014 Jul;100(1):208-17. doi: 10.3945/ajcn.113.078758. Epub 2014 Apr 16.

17.

Food and nutrient intake, anthropometric measurements and smoking according to alcohol consumption in the EPIC Heidelberg study.

Ruf T, Nagel G, Altenburg HP, Miller AB, Thorand B.

Ann Nutr Metab. 2005 Jan-Feb;49(1):16-25. Epub 2005 Feb 25.

PMID:
15735364
18.

Eating patterns may mediate the association between marital status, body mass index, and blood cholesterol levels in apparently healthy men and women from the ATTICA study.

Yannakoulia M, Panagiotakos D, Pitsavos C, Skoumas Y, Stafanadis C.

Soc Sci Med. 2008 Jun;66(11):2230-9. doi: 10.1016/j.socscimed.2008.01.051. Epub 2008 Mar 10.

PMID:
18329772
19.

Dietary patterns, metabolic markers and subjective sleep measures in resident physicians.

Mota MC, De-Souza DA, Rossato LT, Silva CM, Ara├║jo MB, Tufik S, de Mello MT, Crispim CA.

Chronobiol Int. 2013 Oct;30(8):1032-41. doi: 10.3109/07420528.2013.796966. Epub 2013 Aug 21.

PMID:
23964589
20.

Associations between dietary pattern and lifestyle, anthropometry and other health indicators in the elderly participants of the EPIC-Italy cohort.

Pala V, Sieri S, Masala G, Palli D, Panico S, Vineis P, Sacerdote C, Mattiello A, Galasso R, Salvini S, Ceroti M, Berrino F, Fusconi E, Tumino R, Frasca G, Riboli E, Trichopoulou A, Baibas N, Krogh V.

Nutr Metab Cardiovasc Dis. 2006 Apr;16(3):186-201. Epub 2006 Feb 17.

PMID:
16580586
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