Literature DB >> 33413240

Table Talk: revision of an observational tool to characterize the feeding environment in early care and education settings.

Taren Swindle1, Josh Phelps2, Nicole M McBride3, James P Selig4, Julie M Rutledge5, Swapna Manyam3.   

Abstract

OBJECTIVE: The Table Talk tool is an observational assessment of early care and education teacher (ECET) mealtime practices. The Table Talk Revised (TT-R) tool incorporates new constructs that emerged from qualitative research and teases apart existing categories to improve nuance of data capture. The objective of this study was to evaluate the TT-R, document interrater reliability for the TT-R, and report on ECET feeding communications in broader settings than previously studied (i.e., beyond a single Lunch and Head Start only).
METHODS: Trained observers conducted mealtime observations in classrooms (Nclassroms = 63, 10 sites) during Breakfast and two Lunches for both Lead and Assistant ECETs (N = 126). Classrooms were spread across Head Start in an urban area (60%), Head Starts in a rural area (24%), and a state-funded preschool (16%).
RESULTS: On average, there were 22.17 (SD = 10.92) total verbal feeding communications at Breakfast, 37.72 (SD = 15.83) at Lunch1, and 34.39 (SD = 15.05) at Lunch2 with meals averaging 25 min. The most commonly observed supportive statement category was Exploring Foods for Lead (Breakfast = 1.61, Lunch1 = 3.23, Lunch2 = 2.70) and Assistant ECETs (Breakfast = .89, Lunch1 = 2.03) except for Lunch2 which was Encourages Trying in a Positive Way (Lunch2 = 1.30). The most commonly observed unsupportive statement category was Firm Behavioral Control for both Lead (Breakfast = 3.61, Lunch1 = 5.84, Lunch2 = 5.51) and Assistants ECETs (Breakfast = 3.11, Lunch1 = 6.38, Lunch2 = 4.32). The majority of Interclass Correlation Coefficients indicating interrater reliability were in the excellent range (64%) for commonly occurring statement categories, and 14 of the 19 low frequency statement categories had > 80% agreement. CONCLUSIONS AND IMPLICATIONS: Overall, items added to the Table Talk tool performed well, and interrater reliability was favorable. Our study also documented differences between Lead and Assistant teachers in mealtime practices and illustrated differing patterns of interaction between lunches and breakfast, important findings to inform future research and practice. The TT-R may be a useful measurement tool for monitoring and evaluating ECET practices in mealtime environments as well as informing intervention.

Entities:  

Keywords:  Childcare; Childcare teachers; Communication; Early childhood educators; Feeding; Meals

Mesh:

Year:  2021        PMID: 33413240      PMCID: PMC7792155          DOI: 10.1186/s12889-020-10087-8

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


  25 in total

1.  An explanatory framework of teachers' perceptions of a positive mealtime environment in a preschool setting.

Authors:  Satoko C Mita; Samuel A Gray; L Suzanne Goodell
Journal:  Appetite       Date:  2015-02-26       Impact factor: 3.868

Review 2.  Ontogeny of taste preferences: basic biology and implications for health.

Authors:  Julie A Mennella
Journal:  Am J Clin Nutr       Date:  2014-01-22       Impact factor: 7.045

3.  Table Talk: development of an observational tool to assess verbal feeding communications in early care and education settings.

Authors:  Taren Swindle; Julie M Rutledge; Belynda Dix; Leanne Whiteside-Mansell
Journal:  Public Health Nutr       Date:  2017-08-14       Impact factor: 4.022

4.  "Are you done?" Child care providers' verbal communication at mealtimes that reinforce or hinder children's internal cues of hunger and satiation.

Authors:  Samantha A Ramsay; Laurel J Branen; Janice Fletcher; Elizabeth Price; Susan L Johnson; Madeleine Sigman-Grant
Journal:  J Nutr Educ Behav       Date:  2010 Jul-Aug       Impact factor: 3.045

5.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

Authors:  Terry K Koo; Mae Y Li
Journal:  J Chiropr Med       Date:  2016-03-31

6.  Genetic and environmental determinants of bitter perception and sweet preferences.

Authors:  Julie A Mennella; M Yanina Pepino; Danielle R Reed
Journal:  Pediatrics       Date:  2005-02       Impact factor: 7.124

7.  The impact of child care providers' feeding on children's food consumption.

Authors:  Sheryl O Hughes; Heather Patrick; Thomas G Power; Jennifer O Fisher; Cheryl B Anderson; Theresa A Nicklas
Journal:  J Dev Behav Pediatr       Date:  2007-04       Impact factor: 2.225

8.  A Qualitative Application of the Belsky Model to Explore Early Care and Education Teachers' Mealtime History, Beliefs, and Interactions.

Authors:  Taren M Swindle; Zachary Patterson; Carrie J Boden
Journal:  J Nutr Educ Behav       Date:  2017 Jul - Aug       Impact factor: 3.045

9.  De-implementation of detrimental feeding practices: a pilot protocol.

Authors:  Taren Swindle; Julie M Rutledge; Susan L Johnson; James P Selig; Geoff M Curran
Journal:  Pilot Feasibility Stud       Date:  2020-11-19

10.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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  2 in total

1.  Feeding practices in Australian early childhood education and care settings.

Authors:  Rebecca A Byrne; Kimberley Baxter; Sue Irvine; Helen Vidgen; Danielle Gallegos; Elizabeth Martin; Stewart G Trost
Journal:  Public Health Nutr       Date:  2021-09-24       Impact factor: 4.022

2.  De-Implementation of Detrimental Feeding Practices in Childcare: Mixed Methods Evaluation of Community Partner Selected Strategies.

Authors:  Taren Swindle; Julie M Rutledge; Dong Zhang; Janna Martin; Susan L Johnson; James P Selig; Amy M Yates; Daphne T Gaulden; Geoffrey M Curran
Journal:  Nutrients       Date:  2022-07-12       Impact factor: 6.706

  2 in total

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