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Start Over Descriptor "dietary strategy" Publisher elsevier
2 results on '"dietary strategy"'

1. Time-Restricted Eating in Community-Dwelling Adults: Correlates of Adherence and Discontinuation in a Cross-Sectional Online Survey Study.

Author

Bailey CP, Boyd P, Shams-White MM, Czajkowski SM, Nebeling L, Reedy J, and O'Connor SG

Subjects
Humans, Cross-Sectional Studies, Female, Male, Adult, Middle Aged, Surveys and Questionnaires, Young Adult, Time Factors, Motivation, COVID-19 psychology, COVID-19 prevention & control, Feeding Behavior psychology, Fasting, Independent Living psychology, Independent Living statistics & numerical data, Patient Compliance statistics & numerical data, Patient Compliance psychology
Abstract

Background: Time-restricted eating (TRE), a type of intermittent fasting in which all daily calories are consumed within a window of ≤12 hours, is hypothesized to promote long-term weight management because of its relative simplicity., Objective: This study reports correlates of adherence among community-dwelling adults currently or formerly following a TRE dietary strategy., Design: A 25-minute cross-sectional online survey was developed, including questions about TRE perceptions, behaviors, motivators and drivers, and demographics. The survey was administered in February 2021 via Prolific, an online platform for sample recruitment and survey dissemination., Participants: Eligibility criteria included US adult ages 18+ who currently or formerly (past 3 months) followed TRE (ie, consumed all daily calories within a window of ≤12 hours) for a minimum of 1 week., Statistical Analyses: χ 2 tests and analysis of covariance (ANCOVA; adjusting for sex and age) compared responses between current and former followers., Results: Current followers (n = 296, mean [SD]: 34.2 ± 12.2y) were older than former followers (n = 295, mean [SD]: 31.1 ± 10.9 y) and practiced TRE for longer (median: 395 vs 90 days, P < 0.001). Current followers reported more success with meeting TRE goals (P ≤ 0.015), were less likely to report TRE concerns (P < 0.001), and more likely to report TRE satisfaction (P < 0.001). Four TRE motivators were more important among current (vs former) followers: weight maintenance, health (not weight), improved sleep, and preventing disease (P ≤ 0.017); weight loss was more important among former (vs current) followers (P = 0.003). Among adherence drivers, ability to work from home and the impact of COVID-19 were reported as more helpful for TRE adherence among current compared with former followers (P ≤ 0.028)., Conclusions: TRE motivators and drivers differed between current and former followers; interventions tailored to individuals' preferences and circumstances may benefit TRE adherence., (Published by Elsevier Inc.)

Published
2024
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2. Evaluation of the performance of existing mathematical models predicting enteric methane emissions from ruminants: Animal categories and dietary mitigation strategies

Author

Ministry of Food, Agriculture and Livestock (Turkey), University of California, National Institute of Food and Agriculture (US), DSM Nutritional Products, Pennsylvania Soybean Board, Ministry of Economic Affairs (The Netherlands), Agence Nationale de la Recherche (France), Department of Agriculture, Food and Marine (Ireland), Academy of Finland, European Commission, Northeast Sustainable Agriculture Research and Education (US), PMI, Ministry of Agriculture, Nature and Food Quality (The Netherlands), University of New Hampshire, Federal Office for Agriculture (Switzerland), Department for Environment, Food & Rural Affairs (UK), Scottish Government, Global Research Alliance on Agricultural Greenhouse Gases, CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), German Research Foundation, Swedish Infrastructure for Ecosystem Science, Fondo Regional de Tecnología Agropecuaria, Comisión Nacional de Investigación Científica y Tecnológica (Chile), Fondo Nacional de Desarrollo Científico y Tecnológico (Chile), Benaouda, M., Martín, C., Li, X., Kebreab, E., Hristov, A. N., Yu, Z., Yáñez Ruiz, David R., Reynolds, C. K., Crompton, L. A., Dijkstra, J., Bannink, A., Schwarm, A., Kreuzer, M., McGee, M., Lund, P., Hellwing, A. L. F., Weisbjerg, M.R., Moate, P.J., Bayat, A.R., Shingfield, K. J., Peiren, N., Eugène, M., Ministry of Food, Agriculture and Livestock (Turkey), University of California, National Institute of Food and Agriculture (US), DSM Nutritional Products, Pennsylvania Soybean Board, Ministry of Economic Affairs (The Netherlands), Agence Nationale de la Recherche (France), Department of Agriculture, Food and Marine (Ireland), Academy of Finland, European Commission, Northeast Sustainable Agriculture Research and Education (US), PMI, Ministry of Agriculture, Nature and Food Quality (The Netherlands), University of New Hampshire, Federal Office for Agriculture (Switzerland), Department for Environment, Food & Rural Affairs (UK), Scottish Government, Global Research Alliance on Agricultural Greenhouse Gases, CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), German Research Foundation, Swedish Infrastructure for Ecosystem Science, Fondo Regional de Tecnología Agropecuaria, Comisión Nacional de Investigación Científica y Tecnológica (Chile), Fondo Nacional de Desarrollo Científico y Tecnológico (Chile), Benaouda, M., Martín, C., Li, X., Kebreab, E., Hristov, A. N., Yu, Z., Yáñez Ruiz, David R., Reynolds, C. K., Crompton, L. A., Dijkstra, J., Bannink, A., Schwarm, A., Kreuzer, M., McGee, M., Lund, P., Hellwing, A. L. F., Weisbjerg, M.R., Moate, P.J., Bayat, A.R., Shingfield, K. J., Peiren, N., and Eugène, M.

Abstract

The objective of this study was to evaluate the performance of existing models predicting enteric methane (CH) emissions, using a large database (3183 individual data from 103 in vivo studies on dairy and beef cattle, sheep and goats fed diets from different countries). The impacts of dietary strategies to reduce CH emissions, and of diet quality (described by organic matter digestibility (dOM) and neutral-detergent fiber digestibility (dNDF)) on model performance were assessed by animal category. The models were first assessed based on the root mean square prediction error (RMSPE) to standard deviation of observed values ratio (RSR) to account for differences in data between models and then on the RMSPE. For dairy cattle, the CH (g/d) predicting model based on feeding level (dry matter intake (DMI)/body weight (BW)), energy digestibility (dGE) and ether extract (EE) had the smallest RSR (0.66) for all diets, as well as for the high-EE diets (RSR = 0.73). For mitigation strategies based on lowering NDF or improving dOM, the same model (RSR = 0.48 to 0.60) and the model using DMI and neutral- and acid-detergent fiber intakes (RSR = 0.53) had the smallest RSR, respectively. For diets with high starch (STA), the model based on nitrogen, ADF and STA intake presented the smallest RSR (0.84). For beef cattle, all evaluated models performed moderately compared with the models of dairy cattle. The smallest RSR (0.83) was obtained using variables of energy intake, BW, forage content and dietary fat, and also for the high-EE and the low-NDF diets (RSR = 0.84 to 0.86). The IPCC Tier 2 models performed better when dietary STA, dOM or dNDF were high. For sheep and goats, the smallest RSR was observed from a model for sheep based on dGE intake (RSR = 0.61). Both IPCC models had low predictive ability when dietary EE, NDF, dOM and dNDF varied (RSR = 0.57 to 1.31 in dairy, and 0.65 to 1.24 in beef cattle). The performance of models depends mostly on explanatory variables and not on

Published
2019

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