Dataset Information

The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions.

ABSTRACT: This systematic review investigated the effects of differing energy intakes, macronutrient compositions, and eating patterns of meals consumed after an overnight fast on Diet Induced Thermogenesis (DIT). The initial search identified 2482 records; 26 papers remained once duplicates were removed and inclusion criteria were applied. Studies (n = 27) in the analyses were randomized crossover designs comparing the effects of two or more eating events on DIT. Higher energy intake increased DIT; in a mixed model meta-regression, for every 100 kJ increase in energy intake, DIT increased by 1.1 kJ/h (p < 0.001). Meals with a high protein or carbohydrate content had a higher DIT than high fat, although this effect was not always significant. Meals with medium chain triglycerides had a significantly higher DIT than long chain triglycerides (meta-analysis, p = 0.002). Consuming the same meal as a single bolus eating event compared to multiple small meals or snacks was associated with a significantly higher DIT (meta-analysis, p = 0.02). Unclear or inconsistent findings were found by comparing the consumption of meals quickly or slowly, and palatability was not significantly associated with DIT. These findings indicate that the magnitude of the increase in DIT is influenced by the energy intake, macronutrient composition, and eating pattern of the meal.

SUBMITTER: Quatela A

PROVIDER: S-EPMC5133058 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions.

Quatela Angelica A Callister Robin R Patterson Amanda A MacDonald-Wicks Lesley L

Nutrients 20161025 11

This systematic review investigated the effects of differing energy intakes, macronutrient compositions, and eating patterns of meals consumed after an overnight fast on Diet Induced Thermogenesis (DIT). The initial search identified 2482 records; 26 papers remained once duplicates were removed and inclusion criteria were applied. Studies (<i>n</i> = 27) in the analyses were randomized crossover designs comparing the effects of two or more eating events on DIT. Higher energy intake increased DIT ...[more]

PMID: 27792142

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Project description:BACKGROUND:Meals from full-service restaurants (FS) and fast-food restaurants (FF) are an integral part of US diets, but current levels and trends in consumption, healthfulness, and related sociodemographic disparities are not well characterized. OBJECTIVES:We aimed to assess patterns and nutritional quality (using validated American Heart Association [AHA] diet scores) of FS and FF meals consumed by US adults. METHODS:Serial cross-sectional investigation utilizing 24-h dietary recalls in survey-weighted, nationally representative samples of 35,015 adults aged ≥20 y from 7 NHANES cycles, 2003-2016. RESULTS:Between 2003 and 2016, American adults consumed ∼21 percent of energyfrom restaurants (FS: 8.5% in 2003-2004, 9.5% in 2015-2016, P-trend = 0.38; FF: 10.5%; 13.4%, P-trend = 0.31). Over this period, more FF meals were eaten for breakfast (from 4.4% to 7.6% of all breakfasts, P-trend <0.001), with no changes for lunch (15.2% to 15.3%) or dinner (14.6% to 14.4%). In 2015-2016, diet quality of both FS and FF were low, with mean AHA diet scores of 31.6 and 27.6 (out of 80). Between 2003 and 2016, diet quality of FF meals improved slightly, (the percentage with poor quality went from 74.6% to 69.8%; and with intermediate quality, from 25.4% to 30.2%; P-trend <0.001 each). Proportions of FS meals of poor (∼50%) and intermediate (∼50%) quality were stable over time, with <0.1% of consumed FS or FF meals meeting ideal quality. Disparities in FS meal quality persisted by race/ethnicity, obesity status, and education and worsened by income; whereas disparities in FF meal quality persisted by age, sex, and obesity status and worsened by race/ethnicity, education, and income. CONCLUSIONS:Between 2003 and 2016, FF and FS meals provided 1 in 5 calories for US adults. Modest improvements occurred in nutritional quality of FF, but not FS, meals consumed, and the average quality for both remained low with persistent or widening disparities. These findings highlight the need for strategies to improve the nutritional quality of US restaurant meals.

Project description:BackgroundCalorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus.Methods and findingsWe obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data.ConclusionsIn this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Project description:BACKGROUND:Food consumed outside of the home is often high in energy and population level interventions that reduce energy intake of people from both lower and higher socioeconomic position (SEP) are needed. There is a lack of evidence on the effectiveness and SEP equity of structural-based (e.g. increasing availability of lower energy options) and information provision (e.g. menu energy labelling) interventions on food choice. METHODS:Across two online experiments, participants of lower and higher SEP made meal choices in a novel virtual fast-food restaurant. To be eligible to take part, participants were required to be UK residents, aged 18 or above, fluent in English, have access to a computer with an internet connection and have no dietary restrictions. Participants were randomized to one of four conditions in a 2?×?2 between-subjects design: menu energy labelling present vs. absent and increased availability of lower energy options (75% of menu options lower energy) vs. baseline availability (25% of menu options lower energy). Participants also completed measures of executive function and food choice motives. RESULTS:The analysis of pooled data from both studies (n =?1743) showed that increasing the availability of lower energy options resulted in participants ordering meals with significantly less energy on average (-?71?kcal, p?<? 0.001, partial ?2?=?0.024) and this effect was observed irrespective of participant SEP. Menu labelling had no significant effect on energy ordered (-?18?kcal, p?=?0.116, partial ?2?=?0.001) in participants from both higher and lower SEP. Furthermore, we found no evidence that executive function or food choice motives moderated the effect of increasing lower energy menu options or energy labelling on total energy ordered. CONCLUSIONS:In a virtual fast-food environment, energy labelling was ineffective in reducing total energy ordered for both higher and lower SEP participants. Increasing the availability of lower energy options had an equitable effect, reducing total energy ordered in participants from higher and lower SEP. TRIAL REGISTRATION:Study protocols and analysis plans were pre-registered on the Open Science Framework (https://osf.io/ajcr6/).

Dataset Information

The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions.

Publications

The Energy Content and Composition of Meals Consumed after an Overnight Fast and Their Effects on Diet Induced Thermogenesis: A Systematic Review, Meta-Analyses and Meta-Regressions.

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