Literature DB >> 16271007

Cognitive determinants of energy balance-related behaviours: measurement issues.

Stef P J Kremers1, Tommy L S Visscher, Jacob C Seidell, Willem van Mechelen, Johannes Brug.   

Abstract

The burden of disease as a result of overweight and obesity calls for in-depth examination of the main causes of behavioural actions responsible for weight gain. Since weight gain is the result of a positive energy balance, these behavioural actions are referred to as 'energy balance-related behaviours' (EBRBs). In the broadest sense, there are only two EBRBs: food intake and physical activity. However, both diet and physical activity are complex behavioural categories that involve a variety of actions. This article discusses the potential problems and opportunities related to the assessment of cognitive determinants of energy intake and energy expenditure behaviours. We argue for the necessity of studying determinants of EBRBs within an energy balance approach, i.e. focusing on energy input as well as output, instead of only studying dietary change or physical activity behaviour. As a result, however, theoretically sound questionnaires assessing determinants of EBRBs are likely to annoy respondents. It is especially the measurement of the behaviours and the use of belief-based constructs that cause questionnaires to be long, which may lead to low response rates and invalid data. In this article, we propose a careful and systematic consideration of the inclusion or exclusion of measures of cognitive determinants. First, if studies show that an EBRB is strongly influenced by environmental factors and is not or only to a minor extent under intentional control, measurement of cognitions is of little use. Second, only when we have proof that attitudes, norms and perceived behavioural control predict intentions, should we aim to assess the underlying beliefs. Third, since assessment of beliefs results in similar or better prediction than using belief-valuation combinations, we should not 'annoy' respondents with valuation items. Finally, we argue that the traditional paper-and-pencil survey is still the most reliable and practical data collection method. However, pilot studies applying computerised adaptive methods to determinants of EBRBs are encouraged.

Entities:  

Mesh:

Year:  2005        PMID: 16271007     DOI: 10.2165/00007256-200535110-00001

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  50 in total

1.  Be physically active each day. How can we know?

Authors:  R P Troiano; C A Macera; R Ballard-Barbash
Journal:  J Nutr       Date:  2001-02       Impact factor: 4.798

2.  Item response theory and health outcomes measurement in the 21st century.

Authors:  R D Hays; L S Morales; S P Reise
Journal:  Med Care       Date:  2000-09       Impact factor: 2.983

3.  Developing a framework for assessment of the environmental determinants of walking and cycling.

Authors:  Terri Pikora; Billie Giles-Corti; Fiona Bull; Konrad Jamrozik; Rob Donovan
Journal:  Soc Sci Med       Date:  2003-04       Impact factor: 4.634

Review 4.  Utility of pedometers for assessing physical activity: convergent validity.

Authors:  Catrine Tudor-Locke; Joel E Williams; Jared P Reis; Delores Pluto
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

Review 5.  Computers in clinical assessment: historical developments, present status, and future challenges.

Authors:  James N Butcher; Julia Perry; Jungwon Hahn
Journal:  J Clin Psychol       Date:  2004-03

6.  Clustering of risk habits in young adults. The Cardiovascular Risk in Young Finns Study.

Authors:  O T Raitakari; M Leino; K Räkkönen; K V Porkka; S Taimela; L Räsänen; J S Viikari
Journal:  Am J Epidemiol       Date:  1995-07-01       Impact factor: 4.897

7.  Self-efficacy: toward a unifying theory of behavioral change.

Authors:  A Bandura
Journal:  Psychol Rev       Date:  1977-03       Impact factor: 8.934

8.  Clustering of lifestyle risk factors in a general adult population.

Authors:  A Jantine Schuit; A Jeanne M van Loon; Marja Tijhuis; Marga Ocké
Journal:  Prev Med       Date:  2002-09       Impact factor: 4.018

Review 9.  Are current health behavioral change models helpful in guiding prevention of weight gain efforts?

Authors:  Tom Baranowski; Karen W Cullen; Theresa Nicklas; Deborah Thompson; Janice Baranowski
Journal:  Obes Res       Date:  2003-10

10.  Dietary factors related to fitness in young men and women.

Authors:  J Haraldsdóttir; L B Andersen
Journal:  Prev Med       Date:  1994-07       Impact factor: 4.018

View more
  29 in total

1.  Mediating Mechanisms of Theory-Based Psychosocial Determinants on Behavioral Changes in a Middle School Obesity Risk Reduction Curriculum Intervention, Choice, Control, and Change.

Authors:  Heewon Lee Gray; Isobel R Contento; Pamela A Koch; Jennifer Di Noia
Journal:  Child Obes       Date:  2016-05-04       Impact factor: 2.992

2.  Feasibility and effectiveness of a targeted diabetes prevention program for 18 to 60-year-old South Asian migrants: design and methods of the DH!AAN study.

Authors:  Everlina M A Vlaar; Irene G M van Valkengoed; Vera Nierkens; Mary Nicolaou; Barend J C Middelkoop; Karien Stronks
Journal:  BMC Public Health       Date:  2012-05-23       Impact factor: 3.295

3.  Towards parsimony in habit measurement: testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index.

Authors:  Benjamin Gardner; Charles Abraham; Phillippa Lally; Gert-Jan de Bruijn
Journal:  Int J Behav Nutr Phys Act       Date:  2012-08-30       Impact factor: 6.457

4.  Tailored print communication and telephone motivational interviewing are equally successful in improving multiple lifestyle behaviors in a randomized controlled trial.

Authors:  Hilde M van Keulen; Ilse Mesters; Marlein Ausems; Gerard van Breukelen; Marci Campbell; Ken Resnicow; Johannes Brug; Hein de Vries
Journal:  Ann Behav Med       Date:  2011-02

Review 5.  For whom and under what circumstances do school-based energy balance behavior interventions work? Systematic review on moderators.

Authors:  Mine Yildirim; Maartje M van Stralen; Mai J M Chinapaw; Johannes Brug; Willem van Mechelen; Jos W R Twisk; Saskia J Te Velde
Journal:  Int J Pediatr Obes       Date:  2011-06-09

6.  Physical activity questionnaire for older children (PAQ-C): Arabic translation, cross-cultural adaptation, and psychometric validation in school-aged children in Saudi Arabia.

Authors:  Mohamed Sherif Sirajudeen; Mohamed Waly; Md Dilshad Manzar; Mazen Alqahtani; Msaad Alzhrani; Ahmad Alanazi; Radhakrishnan Unnikrishnan; Hariraja Muthusamy; Rashmi Saibannavar; Wafa Alrubaia
Journal:  PeerJ       Date:  2022-04-12       Impact factor: 3.061

7.  Environmental influences on energy balance-related behaviors: a dual-process view.

Authors:  Stef P J Kremers; Gert-Jan de Bruijn; Tommy L S Visscher; Willem van Mechelen; Nanne K de Vries; Johannes Brug
Journal:  Int J Behav Nutr Phys Act       Date:  2006-05-15       Impact factor: 6.457

8.  Development and Content Validity of the Physical Activity Questionnaire-Young Children (PAQ-YC) to Assess Physical Activity in Children between 5 and 7 Years.

Authors:  Marta Amor-Barbosa; Montserrat Girabent-Farrés; Ferran Rosés-Noguer; Anna Ortega-Martínez; Almudena Medina-Rincón; Caritat Bagur-Calafat
Journal:  Healthcare (Basel)       Date:  2021-05-31

9.  Parental self-efficacy in childhood overweight: validation of the Lifestyle Behavior Checklist in the Netherlands.

Authors:  Sanne M P L Gerards; Karin Hummel; Pieter C Dagnelie; Nanne K de Vries; Stef P J Kremers
Journal:  Int J Behav Nutr Phys Act       Date:  2013-01-18       Impact factor: 6.457

10.  Physical Activity, Sedentary Behavior, and Dietary Patterns among Children.

Authors:  Jessica S Gubbels; Patricia van Assema; Stef P J Kremers
Journal:  Curr Nutr Rep       Date:  2013-04-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.