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Dietary carbohydrate quantity and quality in relation to obesity: A pooled analysis of three Finnish population-based studies.
- Source :
-
Scandinavian journal of public health [Scand J Public Health] 2016 Jun; Vol. 44 (4), pp. 385-93. Date of Electronic Publication: 2016 Jan 19. - Publication Year :
- 2016
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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.<br />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.<br />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.<br /> (© 2016 the Nordic Societies of Public Health.)
Details
- Language :
- English
- ISSN :
- 1651-1905
- Volume :
- 44
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Scandinavian journal of public health
- Publication Type :
- Academic Journal
- Accession number :
- 26787554
- Full Text :
- https://doi.org/10.1177/1403494815622860