Dietary carbohydrate quantity and quality in relation to obesity : A pooled analysis of three Finnish population-based studies

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http://hdl.handle.net/10138/224004

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Kaartinen , N E , Knekt , P , Kanerva , N K , Valsta , L M , Eriksson , J G , Rissanen , H , Jaaskelainen , T & Männistö , S 2016 , ' Dietary carbohydrate quantity and quality in relation to obesity : A pooled analysis of three Finnish population-based studies ' Scandinavian Journal of Public Health , vol. 44 , no. 4 , pp. 385-393 . DOI: 10.1177/1403494815622860

Title: Dietary carbohydrate quantity and quality in relation to obesity : A pooled analysis of three Finnish population-based studies
Author: Kaartinen, Niina E.; Knekt, Paul; Kanerva, Noora Karoliina; Valsta, Liisa M.; Eriksson, Johan Gunnar; Rissanen, Harri; Jaaskelainen, Tuija; Männistö, Satu
Contributor: University of Helsinki, Department of Public Health
University of Helsinki, Johan Eriksson / Principal Investigator
Date: 2016-06
Number of pages: 9
Belongs to series: Scandinavian Journal of Public Health
ISSN: 1403-4948
URI: http://hdl.handle.net/10138/224004
Abstract: Background: The relationship between carbohydrate intake, dietary glycaemic index (GI) and load (GL), and obesity remains unsolved. Sugar intake and obesity represent a timely topic, but studies on sugar subcategories are scarce. We aimed to study whether total carbohydrate, sucrose, lactose, fibre, dietary GI, and GL are associated with obesity in 25-79-year-old Finns. Methods: Our pooled analysis included three cross-sectional population-based studies: the DILGOM Study (n = 4842), the Helsinki Birth Cohort Study (n =1979), and the Health 2000 Survey (n = 5521). Diet was assessed by a validated food-frequency questionnaire, and anthropometric measurements were collected by standardised protocols. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression analysis. Results: In the model, which included sex, age, education, smoking, physical activity, and energy intake, the likelihood of being obese (body mass index >= 30 kg/m(2)) appeared lower in the highest quartiles of total carbohydrate (OR 0.65; 95% CI 0.57-0.74; P for trend <0.0001), sucrose (OR 0.53; 95% CI 0.47-0.61; P <0.0001), and dietary GL (OR 0.64; 95% CI 0.56-0.73; P <0.0001) compared to the lowest quartiles. In contrast, dietary GI did not associate with obesity. Fibre intake associated inversely with abdominal obesity (OR 0.80; 95% CI 0.71-0.90; P <0.001). The inverse sucrose obesity relationship appeared stronger in high fruit consumers compared to low fruit consumers (P for interaction 0.02). Conclusions: Although most of the studied carbohydrate exposures were associated with a diminished likelihood of being obese, prospective studies are needed to assess temporal relations to support causal inference.
Subject: Dietary carbohydrate
sucrose
glycaemic index
glycaemic load
fibre
obesity
body mass index
waist circumference
meta-analysis
pooled analysis
GLYCEMIC INDEX
WAIST CIRCUMFERENCE
BODY-WEIGHT
CANCER
SUGAR
LOAD
ASSOCIATION
CONSUMPTION
DISEASES
DATABASE
3142 Public health care science, environmental and occupational health
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