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52 records – page 1 of 6.

Alcohol consumption and dietary intake of Finnish men.

https://arctichealth.org/en/permalink/ahliterature250251
Source
Nutr Metab. 1977;21 Suppl 1:132-3
Publication Type
Article
Date
1977

Vitamin D status of children and adolescents in Finland.

https://arctichealth.org/en/permalink/ahliterature237659
Source
Ann Nutr Metab. 1986;30(4):267-72
Publication Type
Article
Date
1986
Author
C. Lamberg-Allardt
M. Ala-Houhala
M. Ahola
M T Parviainen
L. Räsänen
J. Visakorpi
Source
Ann Nutr Metab. 1986;30(4):267-72
Date
1986
Language
English
Publication Type
Article
Keywords
Adolescent
Age Factors
Calcifediol - blood
Child
Child, Preschool
Female
Finland
Humans
Male
Nutrition Surveys
Vitamin D - administration & dosage
Abstract
3-,9- and 15-year-old children were studied in autumn in order to evaluate their serum 25-hydroxy-vitamin D (25-OH-D) concentration and their vitamin D intake. The 25-OH-D was significantly lower in the 15-year-old than in the other children, but it was satisfactory in all groups as compared to the 25-OH-D of healthy, young adults. The mean dietary vitamin D intake as well as the mean total vitamin D intake including supplements was low in all groups of children. With a vitamin D intake as low as in this study, every house-bound child would be at risk of vitamin D deficiency.
PubMed ID
3752926 View in PubMed
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[High level of protein in Swedish food. A health risk?]

https://arctichealth.org/en/permalink/ahliterature34946
Source
Lakartidningen. 1996 Jan 3;93(1-2):37-40
Publication Type
Article
Date
Jan-3-1996
Author
W. Becker
L. Hambraeus
G. Samuelson
Author Affiliation
Statens livsmedelsverk, Uppsala.
Source
Lakartidningen. 1996 Jan 3;93(1-2):37-40
Date
Jan-3-1996
Language
Swedish
Publication Type
Article
Keywords
Adolescent
Adult
Age Factors
Child
Dietary Proteins - administration & dosage - adverse effects
Humans
Nutrition Surveys
Nutritional Requirements
Risk factors
Sweden
PubMed ID
8544530 View in PubMed
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Exploring statistical approaches to diminish subjectivity of cluster analysis to derive dietary patterns: The Tomorrow Project.

https://arctichealth.org/en/permalink/ahliterature136018
Source
Am J Epidemiol. 2011 Apr 15;173(8):956-67
Publication Type
Article
Date
Apr-15-2011
Author
Geraldine Lo Siou
Yutaka Yasui
Ilona Csizmadi
S Elizabeth McGregor
Paula J Robson
Author Affiliation
Department of Population Health Research, Alberta Health Services—Cancer Care, c/o Holy Cross Site, Box ACB, 2210 2nd Street SW, Calgary, Alberta, Canada T2S 3C3. geraldine.losiou@albertahealthservices.ca
Source
Am J Epidemiol. 2011 Apr 15;173(8):956-67
Date
Apr-15-2011
Language
English
Publication Type
Article
Keywords
Adult
Age Factors
Aged
Canada - epidemiology
Cluster analysis
Data Interpretation, Statistical
Diet
Female
Humans
Male
Middle Aged
Nutrition Surveys
Sex Factors
Abstract
Dietary patterns derived by cluster analysis are commonly reported with little information describing how decisions are made at each step of the analytical process. Using food frequency questionnaire data obtained in 2001-2007 on Albertan men (n = 6,445) and women (n = 10,299) aged 35-69 years, the authors explored the use of statistical approaches to diminish the subjectivity inherent in cluster analysis. Reproducibility of cluster solutions, defined as agreement between 2 cluster assignments, by 3 clustering methods (Ward's minimum variance, flexible beta, K means) was evaluated. Ratios of between- versus within-cluster variances were examined, and health-related variables across clusters in the final solution were described. K means produced cluster solutions with the highest reproducibility. For men, 4 clusters were chosen on the basis of ratios of between- versus within-cluster variances, but for women, 3 clusters were chosen on the basis of interpretability of cluster labels and descriptive statistics. In comparison with those in other clusters, men and women in the "healthy" clusters by greater proportions reported normal body mass index, smaller waist circumference, and lower energy intakes. The authors' approach appeared helpful when choosing the clustering method for both sexes and the optimal number of clusters for men, but additional analyses are required to understand why it performed differently for women.
PubMed ID
21421742 View in PubMed
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Nutritional risk in vulnerable community-living seniors.

https://arctichealth.org/en/permalink/ahliterature182387
Source
Can J Diet Pract Res. 2003;64(4):195-201
Publication Type
Article
Date
2003
Author
Heather H Keller
Jacquelyn D McKenzie
Author Affiliation
Department of Family Relations and Applied Nutrition, University of Guelph, ON.
Source
Can J Diet Pract Res. 2003;64(4):195-201
Date
2003
Language
English
Publication Type
Article
Keywords
Age Factors
Aged
Aged, 80 and over
Canada
Female
Geriatric Assessment
Humans
Male
Nutrition Assessment
Nutrition Surveys
Questionnaires
Risk assessment
Risk factors
Abstract
The purpose of this study was to quantify nutritional risk in a convenience sample of vulnerable, community-living seniors, and to determine patterns of nutritional risk in these seniors. The sample consisted of 367 seniors who provided health, functional, and nutritional risk information during an interview in which the Seniors in the Community: Risk Evaluation for Eating and Nutrition questionnaire was used. The majority (73.6%) of the sample was female, and the mean age was 79 years. Nutritional risk was identified in 68.7% of the sample, with 44.4% being at high nutritional risk. Common nutritional risk factors were weight change, restricting food, low fruit and vegetable intake, difficulty with chewing, cooking, or shopping, and poor appetite. Principal components analysis identified four independent components within the Seniors in the Community: Risk Evaluation for Eating and Nutrition questionnaire; these components can be described as low food intake, poor appetite, physical and external challenges, and instrumental activity challenges. Data are sparse on nutritional risk in community-living Canadian seniors; despite methodologic limitations in the recruitment process, this study provides some indication of the level of nutrition problems. The patterns of nutritional risk identified in this vulnerable population may help providers identify useful strategies for ameliorating risk. The Seniors in the Community: Risk Evaluation for Eating and Nutrition questionnaire could be used to identify risk and patterns of risk in Canadian seniors, so that treatment could be individualized.
PubMed ID
14675500 View in PubMed
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[The effect of nutritional characteristics on the prevalence of dyslipoproteinemia and ischemic heart disease among the inhabitants of the city of Kiev]

https://arctichealth.org/en/permalink/ahliterature55222
Source
Vrach Delo. 1991 Oct;(10):46-9
Publication Type
Article
Date
Oct-1991
Author
N V Davydenko
Source
Vrach Delo. 1991 Oct;(10):46-9
Date
Oct-1991
Language
Russian
Publication Type
Article
Keywords
Age Factors
Comparative Study
Coronary Disease - epidemiology
English Abstract
Humans
Hyperlipoproteinemia - epidemiology
Nutrition Surveys
Prevalence
Sex Factors
Ukraine - epidemiology
Urban Population - statistics & numerical data
Abstract
Results of an epidemiological investigation of a non-organized population of males at the age of 29-52 years in the city of Kiev revealed in 22.4% dyslipoproteinemia. Feeding of the population and its relationship to disorders of the lipid metabolism were evaluated. Dietary recommendations and primary prophylaxis of ischemic heart disease are discussed.
PubMed ID
1803745 View in PubMed
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[Hygienic assessment of indicators of the nutritional status of Monchegorsk school children]

https://arctichealth.org/en/permalink/ahliterature34054
Source
Gig Sanit. 1997 Sep-Oct;(5):12-4
Publication Type
Article
Author
A V Istomin
I G Mikhailov
Source
Gig Sanit. 1997 Sep-Oct;(5):12-4
Language
Russian
Publication Type
Article
Keywords
Age Factors
Child
Child Nutrition
Cold Climate
Comparative Study
Diet
Energy Metabolism
English Abstract
Health promotion
Health status
Humans
Nutrition Surveys
Nutritional Status
Russia
Abstract
Diets, energy expenditures, physical and mental performance, anthropometric indices, ascorbic acid excretion, and morbidity rates were studied in 7-9-year-old schoolchildren of Monchegorsk, Murmansk Region. The alimentary features found served as the basis for developing sanitary recommendations to optimize diets and to promote children's health.
PubMed ID
9378335 View in PubMed
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Difficulty of healthy eating: a Rasch model approach.

https://arctichealth.org/en/permalink/ahliterature144947
Source
Soc Sci Med. 2010 May;70(10):1574-80
Publication Type
Article
Date
May-2010
Author
Spencer Henson
Jose Blandon
John Cranfield
Author Affiliation
University of Guelph, Guelph, Ontario, Canada.
Source
Soc Sci Med. 2010 May;70(10):1574-80
Date
May-2010
Language
English
Publication Type
Article
Keywords
Adult
Age Factors
Aged
Female
Food Preferences
Health Behavior
Humans
Income
Male
Middle Aged
Models, Theoretical
Nutrition Surveys
Nutritional Requirements
Ontario
Socioeconomic Factors
Young Adult
Abstract
This study aims to measure the difficulty of healthy eating as a single latent construct and, within that, assess which dietary guidelines consumers find more or less difficult to comply with using the Rasch model approach. Participants self-reported their compliance with 12 health-promoting dietary recommendations related to cooking methods and consumption of specific food items. Data were drawn from a survey elicited using a longitudinal consumer panel established in the City of Guelph, Ontario, Canada in 2008. The panel consists of 1962 randomly-selected residents of Guelph between the age of 20 and 69 years. The response rate was equal to 68 percent. The main assumptions of the Rasch model were satisfied. However, subsequent differential item functioning analysis revealed significant scale variations by gender, education, age and household income, which reduced the validity of the Rasch scale. Conversely, these scale variations highlight the importance of socio-economic and demographic factors on the difficulty of healthy eating.
PubMed ID
20219277 View in PubMed
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52 records – page 1 of 6.