Literature DB >> 32461195

Exploring barriers to meeting recommendations for fruit and vegetable intake among adults in regional areas: A mixed-methods analysis of variations across socio-demographics.

Katherine M Livingstone1, Melissa Burton2, Amy K Brown3, Sarah A McNaughton4.   

Abstract

Fruit and vegetable consumption is low compared to recommendations worldwide. Few studies have investigated intakes of fruit and vegetables and barriers to meeting recommendations in a mixed-method design. Moreover, there is a need to better understand differences in these barriers by population subgroups. This study aimed to examine fruit and vegetable intake and barriers to meeting recommendations and differences by sex, age and socio-economic groups. Data on adults from the cross-sectional Greater Bendigo Active Living Census 2014 were used. Participants self-reported intake of fruit and vegetables and completed an open-ended question on barriers to meeting recommended intakes. Logistic regression analyses were used to examine odds of meeting recommended intakes. Leximancer was used for thematic analyses of barriers. A total of 13,788 individuals (54% female, 52.1 (SD 17.7) years) were included in the quantitative analyses. Qualitative data were available for 5649 of these individuals. Only seven percent of participants met recommended intakes for fruit and vegetables. Barriers were lack of time, that guidelines were perceived as unachievable, the wide variety of other foods available and the high cost and limited availability of fresh fruit and vegetables. The most relevant barriers by subgroups were: taste (12%) and lack of appetite (18%) for males and females, respectively; lack of time (26-28%) and lack of appetite (70%) for young to middle aged adults and older adults, respectively and cost (35%) and availability of fresh fruits and vegetables (22%) for rural and disadvantaged groups. Findings have implications for the design of healthy eating strategies, which may benefit from being tailored to key population groups.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adults; Barriers; Food intake; Fruit intake; Mixed-method; Qualitative; Vegetable intake

Mesh:

Year:  2020        PMID: 32461195     DOI: 10.1016/j.appet.2020.104750

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  7 in total

1.  Objective and perceived barriers and facilitators of daily fruit and vegetable consumption among under-resourced communities in Central Texas.

Authors:  Kelseanna Hollis-Hansen; Kathryn M Janda; Marisa Tiscareño; Claire Filipowicz; Alexandra van den Berg
Journal:  Appetite       Date:  2022-06-11       Impact factor: 5.016

2.  A Standardized Guide to Developing an Online Grocery Store for Testing Nutrition-Related Policies and Interventions in an Online Setting.

Authors:  Pasquale E Rummo; Isabella Higgins; Christina Chauvenet; Annamaria Vesely; Lindsay M Jaacks; Lindsey Taillie
Journal:  Int J Environ Res Public Health       Date:  2021-04-24       Impact factor: 3.390

3.  Fruit and Vegetable Knowledge and Intake within an Australian Population: The AusDiab Study.

Authors:  Caroline R Hill; Lauren C Blekkenhorst; Simone Radavelli-Bagatini; Marc Sim; Richard J Woodman; Amanda Devine; Jonathan E Shaw; Jonathan M Hodgson; Robin M Daly; Joshua R Lewis
Journal:  Nutrients       Date:  2020-11-25       Impact factor: 5.717

4.  Diets with Higher Vegetable Intake and Lower Environmental Impact: Evidence from a Large Australian Population Health Survey.

Authors:  Bradley Ridoutt; Danielle Baird; Gilly A Hendrie
Journal:  Nutrients       Date:  2022-04-05       Impact factor: 5.717

5.  Understanding Blood versus Blond Orange Consumption: A Cross-Cultural Study in Four Countries.

Authors:  Adrián Giménez-Sanchis; Kui Zhong; Aurora Pintor; Vittorio Farina; Cristina Besada
Journal:  Foods       Date:  2022-09-02

6.  The Influence of Rurality on Fruit and Vegetable Intake and BMI: Findings in Mississippi Are Not Consistent with Those at the National Level.

Authors:  Danielle Fastring; Danielle Nadorff; Hilary DeShong
Journal:  Int J Environ Res Public Health       Date:  2021-05-10       Impact factor: 3.390

7.  Demographic, Behavioural and Anthropometric Correlates of Food Liking: A Cross-sectional Analysis of Young Adults.

Authors:  K M Livingstone; H Pnosamy; L J Riddell; S Cicerale
Journal:  Nutrients       Date:  2020-10-09       Impact factor: 5.717

  7 in total

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