Abstract

To investigate the association between eating- away-from-home (EAFH) and a) the quality of dietary carbohydrate intake and b) the quality of fat intake. We assessed 19,371 participants in the SUN cohort who completed a validated baseline food frequency questionnaire. Quality indices of carbohydrate (CQI) and fat (FQI) were used. Multiple regression models were fitted to determine the association between the frequency of EAFH (4 categories) and both indices. Logistic regression analysis was used to assess the association between the frequency of EAFH and low CQI or FQI ((<25th percentile). Participants showed an average CQI and FQI of 11,3 (SD 3,2) and 1,7 (SD 0,5), respectively. A higher frequency of EAFH (≥ 2 times/week) was associated with a poorer CQI and a poorer FQI. For CQI, the adjusted mean difference was -0,29, 95%CI: -0,41, -0,17 (p for trend <0,001), and for FQI it was -0,02, 95%CI: -0,03, -0,001 (p for trend 0,03). Participants with a highest frequency (≥ 2 times/week) of EAFH had higher adjusted risk of a poorer CQI, (adjusted OR 1,31, 95%CI 1,17, 1,46, p for trend <0,001), but this habit (EAFH) was unrelated to FQI (adjusted OR 0,93, 95%CI: 0,83, 1,03, p for trend 0,194). A higher frequency of EAFH was associated with a poorer quality of dietary fat, and particularly, dietary carbohohydrate. These findings highlight the importance of nutritional education addressed to consumers who frequently do out-of-home meals.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.