Literature DB >> 33919166

Twenty-Four-Year Trends in Family and Regional Disparities in Fruit, Vegetable and Sugar-Sweetened Beverage Consumption among Adolescents in Belgium.

Manon Rouche1, Maxim Dierckens2, Lucille Desbouys1, Camille Pedroni1, Thérésa Lebacq1,3, Isabelle Godin4, Benedicte Deforche2, Katia Castetbon1,3.   

Abstract

Dietary habits are influenced by various determinants that may evolve over time. This study aimed to examine, among adolescents in Belgium, trends in the dietary habits between 1990 and 2014 and to determine changes in family and regional disparities related to diet during this time period. In the 1990, 2002 and 2014 cross-sectional "Health Behaviour in School-aged Children" (HBSC) surveys, food consumption was estimated using a short Food Frequency Questionnaire. The Relative Index of Inequality (RII) enabled quantification of the gradients of inequality related to the family structure and to the region for non-daily fruit and vegetable and daily sugar-sweetened beverage (SSB) consumption. Between 1990 and 2014, the prevalence of non-daily fruit consumption increased from 27.7% to 60.6%, whereas the daily SSB consumption decreased from 58.9% to 34.8%. Over time, a downward trend in family disparities (p = 0.007) was observed for daily fruit consumption (RII: 1.58 (1.33-1.88) to 1.18 (1.13-1.23)). An upward trend in region-related disparities (p < 0.001) for SSB was found (RII: 1.15 (1.07-1.23) to 1.37 (1.28-1.47)). The overall trend of increasing disparities when dietary habits improved and decreasing disparities when dietary habits worsened highlights the need to implement actions that improve overall dietary habits while ensuring that disparities do not increase.

Entities:  

Keywords:  adolescents; dietary habits; social disparities; trends

Year:  2021        PMID: 33919166     DOI: 10.3390/ijerph18094408

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  24 in total

1.  A Belgian study on the reliability and relative validity of the Health Behaviour in School-Aged Children food-frequency questionnaire.

Authors:  Carine A Vereecken; Lea Maes
Journal:  Public Health Nutr       Date:  2003-09       Impact factor: 4.022

Review 2.  Food groups and risk of all-cause mortality: a systematic review and meta-analysis of prospective studies.

Authors:  Lukas Schwingshackl; Carolina Schwedhelm; Georg Hoffmann; Anna-Maria Lampousi; Sven Knüppel; Khalid Iqbal; Angela Bechthold; Sabrina Schlesinger; Heiner Boeing
Journal:  Am J Clin Nutr       Date:  2017-04-26       Impact factor: 7.045

3.  Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010.

Authors:  Brian K Kit; Tala H I Fakhouri; Sohyun Park; Samara Joy Nielsen; Cynthia L Ogden
Journal:  Am J Clin Nutr       Date:  2013-05-15       Impact factor: 7.045

4.  Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children.

Authors:  Sharon I Kirkpatrick; Kevin W Dodd; Jill Reedy; Susan M Krebs-Smith
Journal:  J Acad Nutr Diet       Date:  2012-04-25       Impact factor: 4.910

5.  Family structure, nonresident father involvement, and adolescent eating patterns.

Authors:  Susan D Stewart; Chadwick L Menning
Journal:  J Adolesc Health       Date:  2009-04-05       Impact factor: 5.012

6.  National trends in soft drink consumption among children and adolescents age 6 to 17 years: prevalence, amounts, and sources, 1977/1978 to 1994/1998.

Authors:  Simone A French; Biing-Hwan Lin; Joanne F Guthrie
Journal:  J Am Diet Assoc       Date:  2003-10

7.  Association between family structure and food group intake in children.

Authors:  Youn Joo Baek; Hee Young Paik; Jae Eun Shim
Journal:  Nutr Res Pract       Date:  2014-07-17       Impact factor: 1.926

8.  Sugar-sweetened beverage prices: Variations by beverage, food store, and neighborhood characteristics, 2017.

Authors:  Julien Leider; Lisa M Powell
Journal:  Prev Med Rep       Date:  2019-04-29

9.  Effect of a pilot community intervention on fruit and vegetable intakes: use of FACET (Five-a-day Community Evaluation Tool).

Authors:  P A L Ashfield-Watt; A A Welch; S Godward; S A Bingham
Journal:  Public Health Nutr       Date:  2007-02-20       Impact factor: 4.022

10.  What is the cost of a healthy diet? Using diet data from the UK Women's Cohort Study.

Authors:  Michelle A Morris; Claire Hulme; Graham P Clarke; Kimberley L Edwards; Janet E Cade
Journal:  J Epidemiol Community Health       Date:  2014-07-22       Impact factor: 3.710

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