Literature DB >> 25439511

How we eat what we eat: identifying meal routines and practices most strongly associated with healthy and unhealthy dietary factors among young adults.

Melissa N Laska1, Mary O Hearst1, Katherine Lust2, Leslie A Lytle1, Mary Story1.   

Abstract

OBJECTIVE: (i) To examine associations between young adults' meal routines and practices (e.g. food preparation, meal skipping, eating on the run) and key dietary indicators (fruit/vegetable, fast-food and sugar-sweetened beverage intakes) and (ii) to develop indices of protective and risky meal practices most strongly associated with diet.
DESIGN: Cross-sectional survey.
SETTING: Minneapolis/St. Paul metropolitan area, Minnesota (USA).
SUBJECTS: A diverse sample of community college and public university students (n 1013).
RESULTS: Meal routines and practices most strongly associated with healthy dietary patterns were related to home food preparation (i.e. preparing meals at home, preparing meals with vegetables) and meal regularity (i.e. routine consumption of evening meals and breakfast). In contrast, factors most strongly associated with poor dietary patterns included eating on the run, using media while eating and purchasing foods/beverages on campus. A Protective Factors Index, summing selected protective meal routines and practices, was positively associated with fruit/vegetable consumption and negatively associated with fast-food and sugar-sweetened beverage consumption (P<0·001). A Risky Factors Index yielded significant, positive associations with fast-food and sugar-sweetened beverage consumption (P<0·001). The probability test for the association between the Risky Factors Index and fruit/vegetable intake was P=0·05.
CONCLUSIONS: Meal routines and practices were significantly associated with young adults' dietary patterns, suggesting that ways in which individuals structure mealtimes and contextual characteristics of eating likely influence food choice. Thus, in addition to considering specific food choices, it also may be important to consider the context of mealtimes in developing dietary messaging and guidelines.

Entities:  

Keywords:  Dietary intake; Meal practices; Young adult

Mesh:

Year:  2014        PMID: 25439511      PMCID: PMC5567832          DOI: 10.1017/S1368980014002717

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  30 in total

1.  Association between eating patterns and obesity in a free-living US adult population.

Authors:  Yunsheng Ma; Elizabeth R Bertone; Edward J Stanek; George W Reed; James R Hebert; Nancy L Cohen; Philip A Merriam; Ira S Ockene
Journal:  Am J Epidemiol       Date:  2003-07-01       Impact factor: 4.897

2.  Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.

Authors:  Melissa C Nelson; Mary Story; Nicole I Larson; Dianne Neumark-Sztainer; Leslie A Lytle
Journal:  Obesity (Silver Spring)       Date:  2008-10       Impact factor: 5.002

3.  Television-viewing time and dietary quality among U.S. children and adults.

Authors:  Susan B Sisson; Christina M Shay; Stephanie T Broyles; Misti Leyva
Journal:  Am J Prev Med       Date:  2012-08       Impact factor: 5.043

4.  Fruit and vegetable consumption and risk of stroke: a meta-analysis of cohort studies.

Authors:  Luc Dauchet; Philippe Amouyel; Jean Dallongeville
Journal:  Neurology       Date:  2005-10-25       Impact factor: 9.910

5.  Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies.

Authors:  Luc Dauchet; Philippe Amouyel; Serge Hercberg; Jean Dallongeville
Journal:  J Nutr       Date:  2006-10       Impact factor: 4.798

6.  Situational characteristics of young adults' eating occasions: a real-time data collection using Personal Digital Assistants.

Authors:  Melissa Nelson Laska; Dan Graham; Stacey G Moe; Leslie Lytle; Jayne Fulkerson
Journal:  Public Health Nutr       Date:  2010-12-08       Impact factor: 4.022

7.  Socioeconomic disparities in emerging adult weight and weight behaviors.

Authors:  Nicole A VanKim; Melissa N Laska
Journal:  Am J Health Behav       Date:  2012-07

Review 8.  Fruit and vegetable consumption and stroke: meta-analysis of cohort studies.

Authors:  Feng J He; Caryl A Nowson; Graham A MacGregor
Journal:  Lancet       Date:  2006-01-28       Impact factor: 79.321

9.  Disparities in dietary intake, meal patterning, and home food environments among young adult nonstudents and 2- and 4-year college students.

Authors:  Melissa C Nelson; Nicole I Larson; Daheia Barr-Anderson; Dianne Neumark-Sztainer; Mary Story
Journal:  Am J Public Health       Date:  2009-05-14       Impact factor: 9.308

Review 10.  Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies.

Authors:  Dagfinn Aune; Doris S M Chan; Rosa Lau; Rui Vieira; Darren C Greenwood; Ellen Kampman; Teresa Norat
Journal:  BMJ       Date:  2011-11-10
View more
  15 in total

Review 1.  Weight-Related Dietary Behaviors in Young Adults.

Authors:  Margaret Allman-Farinelli; Stephanie R Partridge; Rajshri Roy
Journal:  Curr Obes Rep       Date:  2016-03

2.  Food Choices of Young Adults in the United States of America: A Scoping Review.

Authors:  Patricia K Powell; Jo Durham; Sheleigh Lawler
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

3.  Influence of cooking skills and nutritional training on dietary choices of incoming chiropractic students.

Authors:  Katrine K Colton; Lia M Nightingale
Journal:  J Chiropr Educ       Date:  2020-10-01

4.  Factors Associated with Home Meal Preparation and Fast-Food Sources Use among Low-Income Urban African American Adults.

Authors:  Mariana T Garcia; Priscila M Sato; Angela C B Trude; Thomas Eckmann; Elizabeth T Anderson Steeves; Kristen M Hurley; Cláudia M Bógus; Joel Gittelsohn
Journal:  Ecol Food Nutr       Date:  2017-12-11       Impact factor: 1.692

5.  The influence of socio-demographic, psychological and knowledge-related variables alongside perceived cooking and food skills abilities in the prediction of diet quality in adults: a nationally representative cross-sectional study.

Authors:  Laura McGowan; Gerda K Pot; Alison M Stephen; Fiona Lavelle; Michelle Spence; Monique Raats; Lynsey Hollywood; Dawn McDowell; Amanda McCloat; Elaine Mooney; Martin Caraher; Moira Dean
Journal:  Int J Behav Nutr Phys Act       Date:  2016-10-26       Impact factor: 6.457

6.  Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption.

Authors:  Carolina Schwedhelm; Khalid Iqbal; Sven Knüppel; Lukas Schwingshackl; Heiner Boeing
Journal:  Am J Clin Nutr       Date:  2018-02-01       Impact factor: 7.045

7.  An assessment of the test-retest reliability of the New Nordic Diet score.

Authors:  Helga Birgit Bjørnarå; Elisabet Rudjord Hillesund; Monica Klungland Torstveit; Tonje Holte Stea; Nina Cecilie Øverby; Elling Bere
Journal:  Food Nutr Res       Date:  2015-08-11       Impact factor: 3.894

8.  Longitudinal social networks impacts on weight and weight-related behaviors assessed using mobile-based ecological momentary assessments: Study Protocols for the SPARC study.

Authors:  Meg Bruening; Punam Ohri-Vachaspati; Alexandra Brewis; Melissa Laska; Michael Todd; Daniel Hruschka; David R Schaefer; Corrie M Whisner; Genevieve Dunton
Journal:  BMC Public Health       Date:  2016-08-30       Impact factor: 3.295

9.  Behavioral Correlates of Empirically-Derived Dietary Patterns among University Students.

Authors:  Megan P Mueller; Stacy A Blondin; Ariella R Korn; Peter J Bakun; Katherine L Tucker; Christina D Economos
Journal:  Nutrients       Date:  2018-06-03       Impact factor: 5.717

10.  Whole Grain Muffin Acceptance by Young Adults.

Authors:  Thomas Mellette; Kathryn Yerxa; Mona Therrien; Mary Ellen Camire
Journal:  Foods       Date:  2018-06-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.