Literature DB >> 9989914

Food-based classification of eating episodes (FBCE).

M Lennernäs1, I Andersson.   

Abstract

The concept for categorization of eating episodes in dietary surveys was originally developed in studies of shift workers to compare "meal patterns" between night and day work shifts. The concept has been further improved through experience from applications in dietary surveys in other populations. In this paper, results from categorization of eating episodes in shift workers, elderly women and men during life transition periods, elderly female leg ulcer patients and obese men and their lean controls are shown and discussed. The categorization concept is based on seven food categories with food items of similar nutrient characteristics within each category. Each eating event is categorized as any of four types of "meals" or four types of "snacks" due to its combination of food categories. Thus, categorization is based on visible properties (food types) but at the same time reflecting invisible properties (nutrients). Criteria is also established to sub-categorize the "meal" types as being either "prepared" or "quick-prepared" from a behavioural perspective. Use of a defined and reliable concept for categorization is necessary to study eating episodes in dietary surveys, their determinants and also consequences on health and performance. Nocturnal eating during the circadian nadir might affect nutritional status. Since increasingly western populations appear to be moving from regular and planned meals to more episodic eating "around the clock", such analyses are of increasing interest in a bio-social perspective. Copyright 1999 Academic Press.

Entities:  

Mesh:

Year:  1999        PMID: 9989914     DOI: 10.1006/appe.1998.0196

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  11 in total

1.  Classifying foods in contexts: how adults categorize foods for different eating settings.

Authors:  C E Blake; C A Bisogni; J Sobal; C M Devine; M Jastran
Journal:  Appetite       Date:  2007-03-23       Impact factor: 3.868

Review 2.  The Impact of Obesity in the Workplace: a Review of Contributing Factors, Consequences and Potential Solutions.

Authors:  Nipun Shrestha; Zeljko Pedisic; Sarah Neil-Sztramko; Katriina T Kukkonen-Harjula; Veerle Hermans
Journal:  Curr Obes Rep       Date:  2016-09

3.  An Indicator Measuring the Influence of the Online Public Food Environment: An Analytical Framework and Case Study.

Authors:  Na Cong; Ai Zhao; Mei-Po Kwan; Jun Yang; Peng Gong
Journal:  Front Nutr       Date:  2022-06-30

4.  A laboratory animal model of human shift work.

Authors:  Helen M Murphy; Cyrilla H Wideman; George R Nadzam
Journal:  Integr Physiol Behav Sci       Date:  2003 Oct-Dec

Review 5.  Meal Pattern Analysis in Nutritional Science: Recent Methods and Findings.

Authors:  Cathal O'Hara; Eileen R Gibney
Journal:  Adv Nutr       Date:  2021-07-30       Impact factor: 8.701

Review 6.  Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality.

Authors:  Rebecca M Leech; Anthony Worsley; Anna Timperio; Sarah A McNaughton
Journal:  Nutr Res Rev       Date:  2015-03-19       Impact factor: 7.800

7.  Klokwerk + study protocol: An observational study to the effects of night-shift work on body weight and infection susceptibility and the mechanisms underlying these health effects.

Authors:  Bette Loef; Debbie van Baarle; Allard J van der Beek; Linda W van Kerkhof; Daniëlla van de Langenberg; Karin I Proper
Journal:  BMC Public Health       Date:  2016-08-02       Impact factor: 3.295

8.  Time-Restricted Eating Alters Food Intake Patterns, as Prospectively Documented by a Smartphone Application.

Authors:  Samar Malaeb; Tasma Harindhanavudhi; Katrina Dietsche; Nick Esch; Emily N C Manoogian; Satchidananda Panda; Douglas G Mashek; Qi Wang; Lisa S Chow
Journal:  Nutrients       Date:  2020-11-05       Impact factor: 5.717

9.  Five meal patterns are differently associated with nutrient intakes, lifestyle factors and energy misreporting in a sub-sample of the Malmö Diet and Cancer cohort.

Authors:  Isabel Holmbäck; Ulrika Ericson; Bo Gullberg; Elisabet Wirfält
Journal:  Food Nutr Res       Date:  2009-09-09       Impact factor: 3.894

10.  The association between exposure to different aspects of shift work and metabolic risk factors in health care workers, and the role of chronotype.

Authors:  Bette Loef; Debbie van Baarle; Allard J van der Beek; Piet K Beekhof; Linda W van Kerkhof; Karin I Proper
Journal:  PLoS One       Date:  2019-02-01       Impact factor: 3.240

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