Skip header and navigation

3 records – page 1 of 1.

Consumption of filtered and boiled coffee and the risk of incident cancer: a prospective cohort study.

https://arctichealth.org/en/permalink/ahliterature143206
Source
Cancer Causes Control. 2010 Oct;21(10):1533-44
Publication Type
Article
Date
Oct-2010
Author
Lena Maria Nilsson
Ingegerd Johansson
Per Lenner
Bernt Lindahl
Bethany Van Guelpen
Author Affiliation
Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden. lena.nilsson@nutrires.umu.se
Source
Cancer Causes Control. 2010 Oct;21(10):1533-44
Date
Oct-2010
Language
English
Publication Type
Article
Keywords
Coffee
Cohort Studies
Confidence Intervals
Cooking
Drinking
Female
Humans
Incidence
Life Style
Male
Middle Aged
Neoplasms - epidemiology
Prospective Studies
Questionnaires
Regression Analysis
Risk assessment
Risk factors
Sweden - epidemiology
Abstract
Despite potentially relevant chemical differences between filtered and boiled coffee, this study is the first to investigate consumption in relation to the risk of incident cancer.
Subjects were from the Västerbotten Intervention Project (64,603 participants, including 3,034 cases), with up to 15 years of follow-up. Hazard ratios (HR) were calculated by multivariate Cox regression.
No associations were found for all cancer sites combined, or for prostate or colorectal cancer. For breast cancer, boiled coffee =4 versus
PubMed ID
20512657 View in PubMed
Less detail

Low-carbohydrate, high-protein diet score and risk of incident cancer; a prospective cohort study.

https://arctichealth.org/en/permalink/ahliterature261486
Source
Nutr J. 2013;12:58
Publication Type
Article
Date
2013
Author
Lena Maria Nilsson
Anna Winkvist
Ingegerd Johansson
Bernt Lindahl
Göran Hallmans
Per Lenner
Bethany Van Guelpen
Source
Nutr J. 2013;12:58
Date
2013
Language
English
Publication Type
Article
Keywords
Adult
Diet, Carbohydrate-Restricted
Dietary Fats - administration & dosage
Dietary Proteins - administration & dosage
Energy intake
Fatty Acids - administration & dosage - adverse effects
Female
Follow-Up Studies
Food Habits
Humans
Incidence
Male
Middle Aged
Neoplasms - epidemiology
Proportional Hazards Models
Prospective Studies
Questionnaires
Risk factors
Sweden - epidemiology
Abstract
Although carbohydrate reduction of varying degrees is a popular and controversial dietary trend, potential long-term effects for health, and cancer in specific, are largely unknown.
We studied a previously established low-carbohydrate, high-protein (LCHP) score in relation to the incidence of cancer and specific cancer types in a population-based cohort in northern Sweden. Participants were 62,582 men and women with up to 17.8 years of follow-up (median 9.7), including 3,059 prospective cancer cases. Cox regression analyses were performed for a LCHP score based on the sum of energy-adjusted deciles of carbohydrate (descending) and protein (ascending) intake labeled 1 to 10, with higher scores representing a diet lower in carbohydrates and higher in protein. Important potential confounders were accounted for, and the role of metabolic risk profile, macronutrient quality including saturated fat intake, and adequacy of energy intake reporting was explored.
For the lowest to highest LCHP scores, 2 to 20, carbohydrate intakes ranged from median 60.9 to 38.9% of total energy intake. Both protein (primarily animal sources) and particularly fat (both saturated and unsaturated) intakes increased with increasing LCHP scores. LCHP score was not related to cancer risk, except for a non-dose-dependent, positive association for respiratory tract cancer that was statistically significant in men. The multivariate hazard ratio for medium (9-13) versus low (2-8) LCHP scores was 1.84 (95% confidence interval: 1.05-3.23; p-trend?=?0.38). Other analyses were largely consistent with the main results, although LCHP score was associated with colorectal cancer risk inversely in women with high saturated fat intakes, and positively in men with higher LCHP scores based on vegetable protein.
These largely null results provide important information concerning the long-term safety of moderate carbohydrate reduction and consequent increases in protein and, in this cohort, especially fat intakes. In order to determine the effects of stricter carbohydrate restriction, further studies encompassing a wider range of macronutrient intakes are warranted.
Notes
Cites: Eur J Clin Nutr. 2010 Aug;64(8):905-1320502473
Cites: Am J Pathol. 2006 Nov;169(5):1505-2217071576
Cites: Am J Clin Nutr. 2010 Oct;92(4):967-7420826627
Cites: Exp Oncol. 2010 Sep;32(3):137-4221403607
Cites: Ann Intern Med. 2010 Sep 7;153(5):289-9820820038
Cites: N Engl J Med. 2006 Nov 9;355(19):1991-200217093250
Cites: J Intern Med. 2007 Apr;261(4):366-7417391111
Cites: Acta Oncol. 2007;46(3):286-30717450464
Cites: Eur J Clin Nutr. 2007 May;61(5):575-8117136037
Cites: J Am Coll Nutr. 2007 Apr;26(2):163-917536128
Cites: J Clin Endocrinol Metab. 2007 Nov;92(11):4480-417785367
Cites: J Am Diet Assoc. 2008 Jan;108(1):91-10018155993
Cites: Am J Clin Nutr. 2008 May;87(5):1571S-1575S18469290
Cites: Lakartidningen. 2008 Jun 11-24;105(24-25):1864-618619014
Cites: Br J Nutr. 2008 Nov;100(5):942-618377685
Cites: Obes Rev. 2009 Jan;10(1):36-5018700873
Cites: N Engl J Med. 2009 Feb 26;360(9):859-7319246357
Cites: N Engl J Med. 2009 Feb 26;360(9):923-519246365
Cites: Nutr J. 2009;8:1219228378
Cites: Public Health Nutr. 2009 Sep;12(9):1477-8419144238
Cites: Lancet. 2009 Sep 5;374(9692):767-919733769
Cites: Am J Clin Nutr. 2011 May;93(5):1062-7221389180
Cites: Am J Epidemiol. 2011 Sep 15;174(6):652-6021832271
Cites: Glob Health Action. 2012;5. doi: 10.3402/gha.v5i0.1036722468143
Cites: Eur J Clin Nutr. 2012 Jun;66(6):694-70022333874
Cites: BMJ. 2012;344:e402622735105
Cites: JAMA. 2012 Jun 27;307(24):2627-3422735432
Cites: Oncogene. 2012 Sep 6;31(36):3999-401122231450
Cites: Int J Immunopathol Pharmacol. 2012 Jul-Sep;25(3):573-8123058007
Cites: Nutr J. 2012;11:4022686621
Cites: Scand J Public Health Suppl. 2001;56:13-2011681559
Cites: Public Health Nutr. 2002 Jun;5(3):487-9612003662
Cites: N Engl J Med. 2003 May 22;348(21):2074-8112761364
Cites: Cancer. 1984 Oct 1;54(7):1435-86467164
Cites: Am J Epidemiol. 1986 Jul;124(1):17-273521261
Cites: Scand J Prim Health Care. 1998 Sep;16(3):171-69800231
Cites: J Epidemiol Community Health. 1999 Apr;53(4):243-5010396552
Cites: Am J Epidemiol. 2005 Feb 1;161(3):239-4915671256
Cites: Nutr Rev. 2010 Apr;68(4):214-3120416018
PubMed ID
23651548 View in PubMed
Less detail

A traditional Sami diet score as a determinant of mortality in a general northern Swedish population.

https://arctichealth.org/en/permalink/ahliterature124404
Source
Int J Circumpolar Health. 2012;71(0):1-12
Publication Type
Article
Date
2012
Author
Lena Maria Nilsson
Anna Winkvist
Magritt Brustad
Jan-Håkan Jansson
Ingegerd Johansson
Per Lenner
Bernt Lindahl
Bethany Van Guelpen
Author Affiliation
Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden. lena.nilsson@nutrires.umu.se
Source
Int J Circumpolar Health. 2012;71(0):1-12
Date
2012
Language
English
Publication Type
Article
Keywords
Adult
Cardiovascular Diseases - mortality
Cause of Death
Cohort Studies
Diet - ethnology
Diet Surveys
Ethnic Groups
Female
Follow-Up Studies
Food Habits - ethnology
Humans
Life expectancy
Life Style
Male
Middle Aged
Mortality
Neoplasms - mortality
Population Groups - statistics & numerical data
Sweden - epidemiology
Abstract
To examine the relationship between "traditional Sami" dietary pattern and mortality in a general northern Swedish population.
Population-based cohort study.
We examined 77,319 subjects from the Västerbotten Intervention Program (VIP) cohort. A traditional Sami diet score was constructed by adding 1 point for intake above the median level of red meat, fatty fish, total fat, berries and boiled coffee, and 1 point for intake below the median of vegetables, bread and fibre. Hazard ratios (HR) for mortality were calculated by Cox regression.
Increasing traditional Sami diet scores were associated with slightly elevated all-cause mortality in men [Multivariate HR per 1-point increase in score 1.04 (95% CI 1.01-1.07), p=0.018], but not for women [Multivariate HR 1.03 (95% CI 0.99-1.07), p=0.130]. This increased risk was approximately equally attributable to cardiovascular disease and cancer, though somewhat more apparent for cardiovascular disease mortality in men free from diabetes, hypertension and obesity at baseline [Multivariate HR 1.10 (95% CI 1.01-1.20), p=0.023].
A weak increased all-cause mortality was observed in men with higher traditional Sami diet scores. However, due to the complexity in defining a "traditional Sami" diet, and the limitations of our questionnaire for this purpose, the study should be considered exploratory, a first attempt to relate a "traditional Sami" dietary pattern to health endpoints. Further investigation of cohorts with more detailed information on dietary and lifestyle items relevant for traditional Sami culture is warranted.
Notes
Cites: JAMA. 2002 Nov 27;288(20):2569-7812444864
Cites: Public Health Nutr. 2002 Jun;5(3):487-9612003662
Cites: Int J Epidemiol. 2003 Aug;32(4):486-812913011
Cites: Hum Nutr Clin Nutr. 1985;39 Suppl 1:5-414044297
Cites: Am J Epidemiol. 1986 Jul;124(1):17-273521261
Cites: Arctic Med Res. 1991 Jan;50(1):3-72021395
Cites: Arctic Med Res. 1991;Suppl:741-61365287
Cites: Anthropol Anz. 1997 Dec;55(3-4):281-79468755
Cites: Scand J Prim Health Care. 1998 Sep;16(3):171-69800231
Cites: Sven Lakartidn. 1962 Oct 4;59:2829-4413952700
Cites: Radiol Health Data Rep. 1964 Feb;5:83-9714118397
Cites: Int J Epidemiol. 2005 Jun;34(3):623-915737965
Cites: Croat Med J. 2006 Aug;47(4):553-6516909452
Cites: JAMA. 2006 Oct 18;296(15):1885-9917047219
Cites: Eur J Clin Nutr. 2007 Mar;61(3):431-316900081
Cites: Acta Oncol. 2007;46(3):286-30717450464
Cites: Scand J Public Health. 2008 Jan;36(1):84-9118426788
Cites: Int J Circumpolar Health. 2008 Feb;67(1):27-4218468257
Cites: Int J Circumpolar Health. 2008 Feb;67(1):56-6618468259
Cites: Int J Circumpolar Health. 2008 Feb;67(1):82-9618468261
Cites: Int J Obes (Lond). 2008 Jun;32(6):1031-318392036
Cites: BMJ. 2008;337:a134418786971
Cites: Int J Clin Pract. 2008 Sep;62(9):1306-1218643931
Cites: Diabetes Res Clin Pract. 2008 Oct;82(1):1-1718768236
Cites: Public Health Nutr. 2009 Jan;12(1):91-618339225
Cites: Int J Circumpolar Health. 2008 Dec;67(5):421-3219186763
Cites: Nutr J. 2009;8:1219228378
Cites: Lancet. 2009 Jul 4;374(9683):65-7519577695
Cites: Public Health Nutr. 2009 Sep;12(9):1477-8419144238
Cites: Int J Circumpolar Health. 2009 Sep;68(4):372-8519917189
Cites: Eur J Clin Nutr. 2010 Aug;64(8):905-1320502473
Cites: Cancer Causes Control. 2010 Oct;21(10):1533-4420512657
Cites: Public Health Nutr. 2010 Nov;13(11):1818-2520338083
Cites: Am J Clin Nutr. 2011 Jan;93(1):27-3621048056
Cites: J Nutr. 2011 Apr 1;141(4):639-4421346102
Cites: Int J Circumpolar Health. 2011 Jun;70(3):301-1821631968
Cites: Glob Health Action. 2011;4. doi: 10.3402/gha.v4i0.845722007156
Cites: Int J Circumpolar Health. 2012;71:1799722456051
Cites: Int J Obes Relat Metab Disord. 2000 Sep;24(9):1119-3011033980
Cites: J Intern Med. 2003 Jun;253(6):653-912755961
PubMed ID
22584519 View in PubMed
Less detail