Impact of dietary and obesity genetic risk scores on weight gain.
Details
Download: Manuscrit_AJCN_R4_clean.pdf (413.25 [Ko])
State: Public
Version: Author's accepted manuscript
License: Not specified
State: Public
Version: Author's accepted manuscript
License: Not specified
Secondary document(s)
Download: AJCN short abstract.docx (12.23 [Ko])
State: Public
Version: Supplementary document
License: Not specified
State: Public
Version: Supplementary document
License: Not specified
Download: Figure 1.png (9.42 [Ko])
State: Public
Version: Supplementary document
License: Not specified
State: Public
Version: Supplementary document
License: Not specified
Download: Figure 2.png (8.62 [Ko])
State: Public
Version: Supplementary document
License: Not specified
State: Public
Version: Supplementary document
License: Not specified
Download: Online supplemental tables_R4_clean.docx (175.09 [Ko])
State: Public
Version: Supplementary document
License: Not specified
State: Public
Version: Supplementary document
License: Not specified
Download: Supplemental figures 1 and 2.pptx (35.45 [Ko])
State: Public
Version: Supplementary document
License: Not specified
State: Public
Version: Supplementary document
License: Not specified
Serval ID
serval:BIB_3D45D9B2B0E1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Impact of dietary and obesity genetic risk scores on weight gain.
Journal
The American journal of clinical nutrition
ISSN
1938-3207 (Electronic)
ISSN-L
0002-9165
Publication state
Published
Issued date
02/08/2021
Peer-reviewed
Oui
Volume
114
Number
2
Pages
741-751
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
Whether genetic background and/or dietary behaviors influence weight gain in middle-aged subjects is debated.
To assess whether genetic background and/or dietary behaviors are associated with changes in obesity markers (BMI, weight, and waist and hip circumferences) in a Swiss population-based cohort.
Cross-sectional and prospective (follow-up of 5.3 y) study. Two obesity genetic risk scores (GRS) based on 31 or 68 single nucleotide polymorphisms were used. Dietary intake was assessed using a semiquantitative FFQ. Three dietary patterns "Meat & fries" (unhealthy), "Fruits & vegetables" (healthy), and "Fatty & sugary" (unhealthy), and 3 dietary scores (2 Mediterranean and the Alternative Healthy Eating Index [AHEI]) were computed.
On cross-sectional analysis (N = 3033, 53.2% females, 58.4 ± 10.6 y), obesity markers were positively associated with unhealthy dietary patterns and GRS, and negatively associated with healthy dietary scores and patterns. On prospective analysis (N = 2542, 54.7% females, age at baseline 58.0 ± 10.4 y), the AHEI and the "Fruits & vegetables" pattern were negatively associated with waist circumference gain: multivariate-adjusted average ± SE 0.96 ± 0.25 compared with 0.11 ± 0.26 cm (P for trend 0.044), and 1.14 ± 0.26 compared with -0.05 ± 0.26 cm (P for trend 0.042) for the first and fourth quartiles of the AHEI and the "Fruits & vegetables" pattern, respectively. Similar inverse associations were obtained for changes in waist >5 cm: multivariate-adjusted OR (95% CI): 0.65 (0.50, 0.85) and 0.67 (0.51, 0.89) for the fourth versus the first quartile of the AHEI and the "Fruits & vegetables" dietary pattern, respectively. No associations were found between GRS and changes in obesity markers, and no significant gene-diet interactions were found.
Dietary intake, not GRS, are associated with waist circumference in middle-aged subjects living in Lausanne, Switzerland.
To assess whether genetic background and/or dietary behaviors are associated with changes in obesity markers (BMI, weight, and waist and hip circumferences) in a Swiss population-based cohort.
Cross-sectional and prospective (follow-up of 5.3 y) study. Two obesity genetic risk scores (GRS) based on 31 or 68 single nucleotide polymorphisms were used. Dietary intake was assessed using a semiquantitative FFQ. Three dietary patterns "Meat & fries" (unhealthy), "Fruits & vegetables" (healthy), and "Fatty & sugary" (unhealthy), and 3 dietary scores (2 Mediterranean and the Alternative Healthy Eating Index [AHEI]) were computed.
On cross-sectional analysis (N = 3033, 53.2% females, 58.4 ± 10.6 y), obesity markers were positively associated with unhealthy dietary patterns and GRS, and negatively associated with healthy dietary scores and patterns. On prospective analysis (N = 2542, 54.7% females, age at baseline 58.0 ± 10.4 y), the AHEI and the "Fruits & vegetables" pattern were negatively associated with waist circumference gain: multivariate-adjusted average ± SE 0.96 ± 0.25 compared with 0.11 ± 0.26 cm (P for trend 0.044), and 1.14 ± 0.26 compared with -0.05 ± 0.26 cm (P for trend 0.042) for the first and fourth quartiles of the AHEI and the "Fruits & vegetables" pattern, respectively. Similar inverse associations were obtained for changes in waist >5 cm: multivariate-adjusted OR (95% CI): 0.65 (0.50, 0.85) and 0.67 (0.51, 0.89) for the fourth versus the first quartile of the AHEI and the "Fruits & vegetables" dietary pattern, respectively. No associations were found between GRS and changes in obesity markers, and no significant gene-diet interactions were found.
Dietary intake, not GRS, are associated with waist circumference in middle-aged subjects living in Lausanne, Switzerland.
Keywords
Aged, Cross-Sectional Studies, Diet/adverse effects, Diet/standards, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Obesity/genetics, Weight Gain/genetics, dietary intake, gene-diet interactions, obesity, prospective study, weight gain
Pubmed
Web of science
Create date
04/05/2021 8:34
Last modification date
18/07/2024 6:11