dc.contributor.author |
Naja F. |
dc.contributor.author |
Nasreddine L. |
dc.contributor.author |
Itani L. |
dc.contributor.author |
Adra N. |
dc.contributor.author |
Sibai A.M. |
dc.contributor.author |
Hwalla N. |
dc.contributor.editor |
|
dc.date |
2013 |
dc.date.accessioned |
2017-10-18T13:24:34Z |
dc.date.available |
2017-10-18T13:24:34Z |
dc.date.issued |
2013 |
dc.identifier |
10.1007/s00394-011-0291-3 |
dc.identifier.issn |
14366207 |
dc.identifier.uri |
http://hdl.handle.net/10938/20305 |
dc.description.abstract |
Purpose: The main objective of this study was to evaluate the association between dietary patterns and the metabolic syndrome (MetS) and its metabolic abnormalities among Lebanese adults, using data from a national nutrition survey. Methods: A cross-sectional analysis involving adults aged ≥18 years (n = 323) with no prior history of chronic diseases was conducted. Participants completed a brief sociodemographic and 61-item food frequency questionnaire. Anthropometric measurements and fasting blood samples were also obtained. The International Diabetes Federation criteria were used to classify study participants with the metabolic syndrome. Dietary patterns were identified by factor analysis. Multivariate logistic regression analysis was used to evaluate the associations of extracted patterns with MetS and its metabolic abnormalities. Results: Out of 323 participants, 112 (34.6percent) were classified as having MetS. Three dietary patterns were identified: Fast Food-Dessert, Traditional Lebanese, and High Protein. Compared with participants in the lowest quintile of the Fast Food-Dessert pattern, those in the highest quintile had significantly higher odds for MetS (OR, 3.13; 95percent CI: 1.36-7.22) and hyperglycemia (OR, 3.81; 95percent CI: 159-9.14). Subjects with the highest intake of the High Protein pattern had an increased risk for hypertension (OR, 2.98; 95percent CI: 1.26-7.02). The Traditional Lebanese pattern showed no association with MetS or its components. Conclusions: The findings of this study demonstrate a positive association of the Fast Food-Dessert pattern with MetS and hyperglycemia among Lebanese adults. These results may guide the development of improved preventive nutrition interventions in this adult population. © 2011 The Author(s). |
dc.format.extent |
|
dc.format.extent |
Pages: (97-105) |
dc.language |
English |
dc.publisher |
HEIDELBERG |
dc.relation.ispartof |
Publication Name: European Journal of Nutrition; Publication Year: 2013; Volume: 52; no. 1; Pages: (97-105); |
dc.source |
Scopus |
dc.title |
Association between dietary patterns and the risk of metabolic syndrome among Lebanese adults |
dc.type |
Article |
dc.contributor.affiliation |
Naja, F., Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon, Members of the Public Health and Nutrition (PHAN), Research Group, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.affiliation |
Nasreddine, L., Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon, Members of the Public Health and Nutrition (PHAN), Research Group, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.affiliation |
Itani, L., Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.affiliation |
Adra, N., Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon, Members of the Public Health and Nutrition (PHAN), Research Group, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.affiliation |
Sibai, A.M., Department of Epidemiology and Population Health, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon, Members of the Public Health and Nutrition (PHAN), Research Group, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.affiliation |
Hwalla, N., Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon, Members of the Public Health and Nutrition (PHAN), Research Group, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon |
dc.contributor.authorAddress |
Hwalla, N.; Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O.Box 11-0236, Riad El-Solh, Beirut 1107-2020, Lebanon; email: nahla@aub.edu.lb |
dc.contributor.authorCorporate |
University: American University of Beirut; Faculty: Faculty of Agricultural and Food Sciences; Department: Nutrition and Food Sciences; |
dc.contributor.authorDepartment |
Nutrition and Food Sciences |
dc.contributor.authorDivision |
|
dc.contributor.authorEmail |
nahla@aub.edu.lb |
dc.contributor.Faculty |
Faculty of Agricultural and Food Sciences |
dc.contributor.authorInitials |
Naja, F |
dc.contributor.authorInitials |
Nasreddine, L |
dc.contributor.authorInitials |
Itani, L |
dc.contributor.authorInitials |
Adra, N |
dc.contributor.authorInitials |
Sibai, AM |
dc.contributor.authorInitials |
Hwalla, N |
dc.contributor.authorOrcidID |
|
dc.contributor.authorReprintAddress |
Hwalla, N (reprint author), Amer Univ Beirut, Dept Nutr and Food Sci, Fac Agr and Food Sci, POB 11-0236, Beirut 11072020, Lebanon. |
dc.contributor.authorResearcherID |
|
dc.contributor.authorUniversity |
American University of Beirut |
dc.description.cited |
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dc.description.citedCount |
2 |
dc.description.citedTotWOSCount |
4 |
dc.description.citedWOSCount |
4 |
dc.format.extentCount |
9 |
dc.identifier.articleNo |
|
dc.identifier.coden |
EJNUF |
dc.identifier.pubmedID |
22193708 |
dc.identifier.scopusID |
84872676481 |
dc.publisher.address |
TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY |
dc.relation.ispartOfISOAbbr |
Eur. J. Nutr. |
dc.relation.ispartOfIssue |
1 |
dc.relation.ispartofPubTitle |
European Journal of Nutrition |
dc.relation.ispartofPubTitleAbbr |
Eur. J. Nutr. |
dc.relation.ispartOfVolume |
52 |
dc.source.ID |
WOS:000313812100009 |
dc.type.publication |
Journal |
dc.subject.otherAuthKeyword |
Dietary pattern |
dc.subject.otherAuthKeyword |
factor analysis |
dc.subject.otherAuthKeyword |
lebanon |
dc.subject.otherAuthKeyword |
metabolic syndrome |
dc.subject.otherChemCAS |
Blood glucose |
dc.subject.otherChemCAS |
dietary proteins |
dc.subject.otherIndex |
Adult |
dc.subject.otherIndex |
anthropometry |
dc.subject.otherIndex |
article |
dc.subject.otherIndex |
blood sampling |
dc.subject.otherIndex |
cross-sectional study |
dc.subject.otherIndex |
demography |
dc.subject.otherIndex |
diet restriction |
dc.subject.otherIndex |
disease association |
dc.subject.otherIndex |
ethnic group |
dc.subject.otherIndex |
factorial analysis |
dc.subject.otherIndex |
fast food |
dc.subject.otherIndex |
feeding behavior |
dc.subject.otherIndex |
female |
dc.subject.otherIndex |
food |
dc.subject.otherIndex |
food frequency questionnaire |
dc.subject.otherIndex |
food intake |
dc.subject.otherIndex |
health survey |
dc.subject.otherIndex |
high risk population |
dc.subject.otherIndex |
human |
dc.subject.otherIndex |
hyperglycemia |
dc.subject.otherIndex |
hypertension |
dc.subject.otherIndex |
lebanese |
dc.subject.otherIndex |
major clinical study |
dc.subject.otherIndex |
male |
dc.subject.otherIndex |
metabolic disorder |
dc.subject.otherIndex |
metabolic syndrome x |
dc.subject.otherIndex |
nutritional assessment |
dc.subject.otherIndex |
patient coding |
dc.subject.otherIndex |
population research |
dc.subject.otherIndex |
preventive medicine |
dc.subject.otherIndex |
prognosis |
dc.subject.otherIndex |
protein diet |
dc.subject.otherIndex |
risk assessment |
dc.subject.otherIndex |
risk factor |
dc.subject.otherIndex |
traditional food |
dc.subject.otherIndex |
adult |
dc.subject.otherIndex |
blood glucose |
dc.subject.otherIndex |
blood pressure |
dc.subject.otherIndex |
body mass index |
dc.subject.otherIndex |
cross-sectional studies |
dc.subject.otherIndex |
dietary proteins |
dc.subject.otherIndex |
fast foods |
dc.subject.otherIndex |
fasting |
dc.subject.otherIndex |
female |
dc.subject.otherIndex |
food habits |
dc.subject.otherIndex |
humans |
dc.subject.otherIndex |
hyperglycemia |
dc.subject.otherIndex |
hypertension |
dc.subject.otherIndex |
intervention studies |
dc.subject.otherIndex |
lebanon |
dc.subject.otherIndex |
life style |
dc.subject.otherIndex |
linear models |
dc.subject.otherIndex |
logistic models |
dc.subject.otherIndex |
male |
dc.subject.otherIndex |
metabolic syndrome x |
dc.subject.otherIndex |
middle aged |
dc.subject.otherIndex |
multivariate analysis |
dc.subject.otherIndex |
nutrition surveys |
dc.subject.otherIndex |
prevalence |
dc.subject.otherIndex |
questionnaires |
dc.subject.otherIndex |
risk factors |
dc.subject.otherIndex |
socioeconomic factors |
dc.subject.otherIndex |
young adult |
dc.subject.otherKeywordPlus |
Cardiovascular-disease |
dc.subject.otherKeywordPlus |
insulin-resistance |
dc.subject.otherKeywordPlus |
meat intake |
dc.subject.otherKeywordPlus |
food |
dc.subject.otherKeywordPlus |
hypertension |
dc.subject.otherKeywordPlus |
population |
dc.subject.otherKeywordPlus |
women |
dc.subject.otherKeywordPlus |
prevalence |
dc.subject.otherKeywordPlus |
components |
dc.subject.otherKeywordPlus |
obesity |
dc.subject.otherWOS |
Nutrition and dietetics |
dc.identifier.doi |
http://dx.doi.org/10.1007/s00394-011-0291-3 |