Literature DB >> 26686818

Beverage Choices of Adolescents and Their Parents Using the Theory of Planned Behavior: A Mixed Methods Analysis.

Shaun K Riebl, Carly MacDougal, Catelyn Hill, Paul A Estabrooks, Julie C Dunsmore, Jyoti Savla, Madlyn I Frisard, Andrea M Dietrich, Brenda M Davy.   

Abstract

BACKGROUND: Added sugar intake in the form of sugar-sweetened beverages (SSBs) has been considered a contributor to weight gain and cardiometabolic dysfunction in adults and youth. Adolescents are some of the highest consumers of added sugars, taking in ∼16% of their total calories from added sugars with ∼40% of these calories coming from SSBs. Food preferences and self-regulation of dietary intake by youth can be influenced by parents.
OBJECTIVE: To evaluate the effectiveness of the Theory of Planned Behavior (TPB) in understanding and predicting adolescents' SSB consumption, identify which constructs are the most important when evaluating SSB consumption in adolescents, and determine whether and how adolescents' beverage choices are influenced by parents' reactions to their beverage choices.
DESIGN: Measurements for this cross-sectional study included four record-assisted 24-hour dietary recalls and responses to an SSB-specific TPB questionnaire from 100 adolescents. Consenting parents completed a beverage intake questionnaire, a TPB questionnaire, and the Parent Response to Beverage Choice Questionnaire.
RESULTS: The TPB explained 34% of the variance in adolescents' and parents' intention to limit SSBs to <1cup/day. Parents' perceived behavioral control (b=1.35; P=0.002) and adolescents' subjective norms (b=0.57; P=0.001) were the strongest predictors of intention, and intention was the strongest predictor of SSB consumption in both adolescents and parents (b=-37 [P=0.026] and b=-49 [P=0.003], respectively). The TPB explained more variance in parent SSB consumption (R(2)=0.38) than adolescents (R(2)=0.22). Parents did more discouraging of SSBs and encouraging of non-SSBs. Adolescents' intention to limit SSB consumption moderated the relationship between parents' reactions encouraging SSBs and adolescents' predicted SSB consumption (P=0.021).
CONCLUSIONS: The TPB explained a small but significant amount of variance in adolescents' SSB consumption. When addressing adolescent SSB intake, people in addition to parents may influence their intentions and SSB consumption.
Copyright © 2016 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adolescents; Parents; Sugar-sweetened beverages; Sugary drinks; Theory of Planned Behavior

Mesh:

Substances:

Year:  2015        PMID: 26686818      PMCID: PMC4746018          DOI: 10.1016/j.jand.2015.10.019

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   4.910


  50 in total

1.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

Review 2.  The theory of planned behavior: a review of its applications to health-related behaviors.

Authors:  G Godin; G Kok
Journal:  Am J Health Promot       Date:  1996 Nov-Dec

Review 3.  Reason and reaction: the utility of a dual-focus, dual-processing perspective on promotion and prevention of adolescent health risk behaviour.

Authors:  Frederick X Gibbons; Amy E Houlihan; Meg Gerrard
Journal:  Br J Health Psychol       Date:  2008-11-20

Review 4.  The use of theory in health behavior research from 2000 to 2005: a systematic review.

Authors:  Julia E Painter; Christina P C Borba; Michelle Hynes; Darren Mays; Karen Glanz
Journal:  Ann Behav Med       Date:  2008-07-17

5.  Home food environment in relation to children's diet quality and weight status.

Authors:  Sarah C Couch; Karen Glanz; Chuan Zhou; James F Sallis; Brian E Saelens
Journal:  J Acad Nutr Diet       Date:  2014-07-23       Impact factor: 4.910

Review 6.  Sports drinks and energy drinks for children and adolescents: are they appropriate?

Authors: 
Journal:  Pediatrics       Date:  2011-05-29       Impact factor: 7.124

7.  Ervin RB, Kit BK, Carroll MD, Ogden CL. Consumption of added sugar among U.S. children and adolescents, 2005-2008. NCHS data brief no 87. Hyattsville, MD: National Center for Health Statistics. 2012.

Authors:  Shelley McGuire
Journal:  Adv Nutr       Date:  2012-07-01       Impact factor: 8.701

8.  Water consumption increases weight loss during a hypocaloric diet intervention in middle-aged and older adults.

Authors:  Elizabeth A Dennis; Ana Laura Dengo; Dana L Comber; Kyle D Flack; Jyoti Savla; Kevin P Davy; Brenda M Davy
Journal:  Obesity (Silver Spring)       Date:  2009-08-06       Impact factor: 5.002

9.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

10.  The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger.

Authors:  A J Stunkard; S Messick
Journal:  J Psychosom Res       Date:  1985       Impact factor: 3.006

View more
  10 in total

1.  Kids SIPsmartER, a cluster randomized controlled trial and multi-level intervention to improve sugar-sweetened beverages behaviors among Appalachian middle-school students: Rationale, design & methods.

Authors:  Jamie M Zoellner; Kathleen J Porter; Wen You; Phillip I Chow; Lee M Ritterband; Maryam Yuhas; Annie Loyd; Brittany A McCormick; Donna-Jean P Brock
Journal:  Contemp Clin Trials       Date:  2019-06-21       Impact factor: 2.226

2.  Kids SIP smartER: A Feasibility Study to Reduce Sugar-Sweetened Beverage Consumption Among Middle School Youth in Central Appalachia.

Authors:  Hannah Lane; Kathleen J Porter; Erin Hecht; Priscilla Harris; Vivica Kraak; Jamie Zoellner
Journal:  Am J Health Promot       Date:  2017-07-21

3.  Autonomous motivation, sugar-sweetened beverage consumption and healthy beverage intake in US families: differences between mother-adolescent and father-adolescent dyads.

Authors:  Roger Figueroa; Z Begüm Kalyoncu; Jaclyn A Saltzman; Kirsten K Davison
Journal:  Public Health Nutr       Date:  2019-02-11       Impact factor: 4.022

Review 4.  Added Sugar and Dental Caries in Children: A Scientific Update and Future Steps.

Authors:  Donald L Chi; JoAnna M Scott
Journal:  Dent Clin North Am       Date:  2018-10-29

5.  A Participatory Process to Engage Appalachian Youth in Reducing Sugar-Sweetened Beverage Consumption.

Authors:  Hannah G Lane; Kathleen J Porter; Erin Hecht; Priscilla Harris; Jamie M Zoellner
Journal:  Health Promot Pract       Date:  2018-03-24

6.  Examining Determinants and Co-associations Between Fruit and Vegetable and Sugar-Sweetened Beverage Monitoring Practices Among a Sample of Low-Income Hispanic Mothers.

Authors:  Paul Branscum; Karina Lora; Daphne C Hernandez
Journal:  J Racial Ethn Health Disparities       Date:  2020-01-08

7.  Applying the socio-ecological model to understand factors associated with sugar-sweetened beverage behaviours among rural Appalachian adolescents.

Authors:  Brittany A McCormick; Kathleen J Porter; Wen You; Maryam Yuhas; Annie L Reid; Esther J Thatcher; Jamie M Zoellner
Journal:  Public Health Nutr       Date:  2021-01-11       Impact factor: 4.022

8.  Beverage Intake Assessment Questionnaire: Relative Validity and Repeatability in a Spanish Population with Metabolic Syndrome from the PREDIMED-PLUS Study.

Authors:  Cíntia Ferreira-Pêgo; Mariela Nissensohn; Stavros A Kavouras; Nancy Babio; Lluís Serra-Majem; Adys Martín Águila; Andy Mauromoustakos; Jacqueline Álvarez Pérez; Jordi Salas-Salvadó
Journal:  Nutrients       Date:  2016-07-30       Impact factor: 5.717

9.  Does the Mexican sugar-sweetened beverage tax have a signaling effect? ENSANUT 2016.

Authors:  Cristina Álvarez-Sánchez; Isobel Contento; Alejandra Jiménez-Aguilar; Pamela Koch; Heewon Lee Gray; Laura A Guerra; Juan Rivera-Dommarco; Rebeca Uribe-Carvajal; Teresa Shamah-Levy
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

10.  Evaluation of a peer education program on student leaders' energy balance-related behaviors.

Authors:  B C Foley; V A Shrewsbury; L L Hardy; V M Flood; K Byth; S Shah
Journal:  BMC Public Health       Date:  2017-09-07       Impact factor: 3.295

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.