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Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries
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Abstract
Purpose
High-fat and low-fibre discretionary food intake and
FTO
genotype are each associated independently with higher risk of obesity. However, few studies have investigated links between obesity and dietary patterns based on discretionary food intake, and the interaction effect of
FTO
genotype are unknown. Thus, this study aimed to derive dietary patterns based on intake of discretionary foods, saturated fatty acids (SFA) and fibre, and examine cross-sectional associations with BMI and waist circumference (WC), and interaction effects of
FTO
genotype.
Methods
Baseline data on 1280 adults from seven European countries were included (the Food4Me study). Dietary intake was estimated from a Food Frequency Questionnaire. Reduced rank regression was used to derive three dietary patterns using response variables of discretionary foods, SFA and fibre density. DNA was extracted from buccal swabs. Anthropometrics were self-measured. Linear regression analyses were used to examine associations between dietary patterns and BMI and WC, with an interaction for
FTO
genotype.
Results
Dietary pattern 1 (positively correlated with discretionary foods and SFA, and inversely correlated with fibre) was associated with higher BMI (β:0.64; 95% CI 0.44, 0.84) and WC (β:1.58; 95% CI 1.08, 2.07). There was limited evidence dietary pattern 2 (positively correlated with discretionary foods and SFA) and dietary pattern 3 (positively correlated with SFA and fibre) were associated with anthropometrics.
FTO
risk genotype was associated with higher BMI and WC, with no evidence of a dietary interaction.
Conclusions
Consuming a dietary pattern low in discretionary foods and high-SFA and low-fibre foods is likely to be important for maintaining a healthy weight, regardless of
FTO
predisposition to obesity.
Trial registration
Clinicaltrials.gov NCT01530139. Registered 9 February 2012
https://clinicaltrials.gov/ct2/show/NCT01530139
Springer Science and Business Media LLC
Title: Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries
Description:
Abstract
Purpose
High-fat and low-fibre discretionary food intake and
FTO
genotype are each associated independently with higher risk of obesity.
However, few studies have investigated links between obesity and dietary patterns based on discretionary food intake, and the interaction effect of
FTO
genotype are unknown.
Thus, this study aimed to derive dietary patterns based on intake of discretionary foods, saturated fatty acids (SFA) and fibre, and examine cross-sectional associations with BMI and waist circumference (WC), and interaction effects of
FTO
genotype.
Methods
Baseline data on 1280 adults from seven European countries were included (the Food4Me study).
Dietary intake was estimated from a Food Frequency Questionnaire.
Reduced rank regression was used to derive three dietary patterns using response variables of discretionary foods, SFA and fibre density.
DNA was extracted from buccal swabs.
Anthropometrics were self-measured.
Linear regression analyses were used to examine associations between dietary patterns and BMI and WC, with an interaction for
FTO
genotype.
Results
Dietary pattern 1 (positively correlated with discretionary foods and SFA, and inversely correlated with fibre) was associated with higher BMI (β:0.
64; 95% CI 0.
44, 0.
84) and WC (β:1.
58; 95% CI 1.
08, 2.
07).
There was limited evidence dietary pattern 2 (positively correlated with discretionary foods and SFA) and dietary pattern 3 (positively correlated with SFA and fibre) were associated with anthropometrics.
FTO
risk genotype was associated with higher BMI and WC, with no evidence of a dietary interaction.
Conclusions
Consuming a dietary pattern low in discretionary foods and high-SFA and low-fibre foods is likely to be important for maintaining a healthy weight, regardless of
FTO
predisposition to obesity.
Trial registration
Clinicaltrials.
gov NCT01530139.
Registered 9 February 2012
https://clinicaltrials.
gov/ct2/show/NCT01530139.
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