Literature DB >> 22077492

Attitudinal and demographic determinants of diet quality and implications for policy targeting.

W B Traill1, S A Chambers, L Butler.   

Abstract

BACKGROUND: Poor diet quality is a major public health concern that has prompted governments to introduce a range of measures to promote healthy eating. For these measures to be effective, they should target segments of the population with messages relevant to their needs, aspirations and circumstances. The present study investigates the extent to which attitudes and constraints influence healthy eating, as well as how these vary by demographic characteristics of the UK population. It further considers how such information may be used in segmented diet and health policy messages.
METHODS: A survey of 250 UK adults elicited information on conformity to dietary guidelines, attitudes towards healthy eating, constraints to healthy eating and demographic characteristics. Ordered logit regressions were estimated to determine the importance of attitudes and constraints in determining how closely respondents follow healthy eating guidelines. Further regressions explored the demographic characteristics associated with the attitudinal and constraint variables.
RESULTS: People who attach high importance to their own health and appearance eat more healthily than those who do not. Risk-averse people and those able to resist temptation also eat more healthily. Shortage of time is considered an important barrier to healthy eating, although the cost of a healthy diet is not. These variables are associated with a number of demographic characteristics of the population; for example, young adults are more motivated to eat healthily by concerns over their appearance than their health.
CONCLUSIONS: The approach employed in the present study could be used to inform future healthy eating campaigns. For example, messages to encourage the young to eat more healthily could focus on the impact of diets on their appearance rather than health.
© 2011 The Authors. Journal of Human Nutrition and Dietetics © 2011 The British Dietetic Association Ltd.

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Mesh:

Year:  2011        PMID: 22077492     DOI: 10.1111/j.1365-277X.2011.01218.x

Source DB:  PubMed          Journal:  J Hum Nutr Diet        ISSN: 0952-3871            Impact factor:   3.089


  6 in total

1.  Importance of taste, nutrition, cost and convenience in relation to diet quality: Evidence of nutrition resilience among US adults using National Health and Nutrition Examination Survey (NHANES) 2007-2010.

Authors:  Anju Aggarwal; Colin D Rehm; Pablo Monsivais; Adam Drewnowski
Journal:  Prev Med       Date:  2016-06-29       Impact factor: 4.018

2.  Fruit, Vegetable and Dietary Carotenoid Intakes Explain Variation in Skin-Color in Young Caucasian Women: A Cross-Sectional Study.

Authors:  Kristine Pezdirc; Melinda J Hutchesson; Ross Whitehead; Gozde Ozakinci; David Perrett; Clare E Collins
Journal:  Nutrients       Date:  2015-07-15       Impact factor: 5.717

3.  Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations.

Authors:  Sarka Kunzova; Andrea Maugeri; Jose Medina-Inojosa; Francisco Lopez-Jimenez; Manlio Vinciguerra; Pedro Marques-Vidal
Journal:  Front Public Health       Date:  2020-04-08

4.  Using Short Dietary Questions to Develop Indicators of Dietary Behaviour for Use in Surveys Exploring Attitudinal and/or Behavioural Aspects of Dietary Choices.

Authors:  Alison Daly; Christina M Pollard; Deborah A Kerr; Colin W Binns; Michael Phillips
Journal:  Nutrients       Date:  2015-08-04       Impact factor: 5.717

5.  Interest in dietary pattern, social capital, and psychological distress: a cross-sectional study in a rural Japanese community.

Authors:  Kazuyo Motohashi; Yoshihiro Kaneko; Koji Fujita; Yutaka Motohashi; Akira Nakamura
Journal:  BMC Public Health       Date:  2013-10-07       Impact factor: 3.295

6.  Dietary Fibre Intake in Australia. Paper I: Associations with Demographic, Socio-Economic, and Anthropometric Factors.

Authors:  Flavia Fayet-Moore; Tim Cassettari; Kate Tuck; Andrew McConnell; Peter Petocz
Journal:  Nutrients       Date:  2018-05-11       Impact factor: 5.717

  6 in total

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