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Lipid, protein and carbohydrate intake in relation to body mass index

An Italian study

Bibliographic Data

ID15093333
AuthorsGiorgia Randi (0000-0002-4782-8986, Mario Negri Institute for Pharmacological Research), Claudio Pelucchi (0000-0003-1425-8945, Mario Negri Institute for Pharmacological Research), Silvano Gallus (0000-0002-8967-0400, Mario Negri Institute for Pharmacological Research, corresponding author), Maria Parpinel (0000-0003-1309-4467, University of Udine), Luigino Dal Maso (0000-0001-6163-200X, Centro di Riferimento Oncologico), Renato Talamini (Centro di Riferimento Oncologico), Livia SA Augustin, Livia S A Augustin (0000-0002-6673-8281, St. Michael's Hospital), Attilio Giacosa (0000-0002-6374-0597, Fondazione Lanza), Maurizio Montella (0000-0002-0529-2984, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"), Silvia Franceschi (0000-0003-4181-8071, Centre international de recherche sur le cancer), Carlo La Vecchia (0000-0003-1441-897X, University of Milan)
Year2007
Volume10
Issue3
Pages306-310
Publication date2007-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980007226084
PMID17288629
OpenAlexW2132473504
LanguageEN
Citations received3
References cited25

Objective To analyse the association between macronutrient intake and body mass index (BMI). Design A series of hospital-based case–control studies. Settings Selected teaching and general hospitals in several Italian regions. Subjects A total of 6619 subjects from the comparison groups of the case–control studies were included in the analysis. Methods We obtained data from a validated 78-item food-frequency questionnaire submitted between 1991 and 2002. For various macronutrients, the partial regression coefficient (variation of BMI (kg m − 2 ) per 100 kcal increment of energy intake) was derived from multiple linear regression models, after allowance for age, study centre, education, smoking habits, number of eating episodes and mutual adjustment for macronutrients. Results BMI was directly associated with protein intake among women only (β = 0.68) and with unsaturated fats in both genders (for monounsaturated fats β = 0.27 for men and 0.26 for women; for polyunsaturated fats β = 0.27 for men and 0.54 for women), and inversely related to carbohydrates (β = − 0.05 for men and − 0.21 for women) and number of eating episodes in both genders (β = − 0.42 for men and − 0.61 for women) and to saturated fats among women only (β = − 0.57). Conclusions These results confirm and provide convincing evidence that, after allowance for selected covariates including total energy intake, a protein-rich diet is not inversely related to BMI, and a carbohydrate-rich diet is not directly related to BMI

Animal science · Biology · Body mass index · Carbohydrate · Cholesterol · Dietary Reference Intake · Environmental health · Food intake · Linear regression · Nutrient · Polyunsaturated fat · Reference Daily Intake · Regression analysis · Saturated fat · Statistics · Demography · Diet and metabolism studies · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Internal Medicine · Physiology

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Unique citing works3
Citations per year0,16
Citation span2007 - 2014 (8)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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