Literature DB >> 23448943

Sociodemographic factors associated with healthy eating and food security in socio-economically disadvantaged groups in the UK and Victoria, Australia.

Lukar E Thornton1, Jamie R Pearce2, Kylie Ball1.   

Abstract

OBJECTIVE: To investigate the associations between sociodemographic factors and both diet indicators and food security among socio-economically disadvantaged populations in two different (national) contextual settings.
DESIGN: Logistic regression was used to determine cross-sectional associations between nationality, marital status, presence of children in the household, education, employment status and household income (four low income categories) with daily fruit and vegetable consumption, low-fat milk consumption and food security.
SETTING: Socio-economically disadvantaged neighbourhoods in the UK and Australia.
SUBJECTS: Two samples of low-income women from disadvantaged neighbourhoods: (i) in the UK, the 2003-05 Low Income Diet and Nutrition Survey (LIDNS; n 643); and (ii) in Australia, the 2007-08 Resilience for Eating and Activity Despite Inequality (READI; n 1340).
RESULTS: The influence of nationality, marital status and children in the household on the dietary outcomes varied between the two nations. Obtaining greater education qualifications was the most telling factor associated with healthier dietary behaviours. Being employed was positively associated with low-fat milk consumption in both nations and with fruit consumption in the UK, while income was not associated with dietary behaviours in either nation. In Australia, the likelihood of being food secure was higher among those who were born outside Australia, married, employed or had a greater income, while higher income was the only significant factor in the UK.
CONCLUSIONS: The identification of factors that differently influence dietary behaviours and food security in socio-economically disadvantaged populations in the UK and Australia suggests continued efforts need to be made to ensure that interventions and policy responses are informed by the best available local evidence.

Entities:  

Mesh:

Year:  2013        PMID: 23448943     DOI: 10.1017/S1368980013000347

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  17 in total

1.  Neighbourhood socioeconomic disadvantage and fruit and vegetable consumption: a seven countries comparison.

Authors:  Kylie Ball; Karen E Lamb; Claudia Costa; Nicoleta Cutumisu; Anne Ellaway; Carlijn B M Kamphuis; Graciela Mentz; Jamie Pearce; Paula Santana; Rita Santos; Amy J Schulz; John C Spence; Lukar E Thornton; Frank J van Lenthe; Shannon N Zenk
Journal:  Int J Behav Nutr Phys Act       Date:  2015-05-22       Impact factor: 6.457

2.  A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians.

Authors:  Maree G Thorpe; Catherine M Milte; David Crawford; Sarah A McNaughton
Journal:  Int J Behav Nutr Phys Act       Date:  2016-02-29       Impact factor: 6.457

3.  Changing Trends in Nutritional Behavior among University Students in Greece, between 2006 and 2016.

Authors:  Charikleia Kyrkou; Foteini Tsakoumaki; Maria Fotiou; Aristea Dimitropoulou; Maria Symeonidou; Georgios Menexes; Costas G Biliaderis; Alexandra-Maria Michaelidou
Journal:  Nutrients       Date:  2018-01-10       Impact factor: 5.717

4.  Relationships among Food Group Intakes, Household Expenditure, and Education Attainment in a General Japanese Population: NIPPON DATA2010.

Authors:  Tomomi Nagahata; Mieko Nakamura; Toshiyuki Ojima; Imako Kondo; Toshiharu Ninomiya; Katsushi Yoshita; Yusuke Arai; Takayoshi Ohkubo; Keiko Murakami; Nobuo Nishi; Yoshitaka Murakami; Naoyuki Takashima; Nagako Okuda; Aya Kadota; Naoko Miyagawa; Keiko Kondo; Tomonori Okamura; Hirotsugu Ueshima; Akira Okayama; Katsuyuki Miura
Journal:  J Epidemiol       Date:  2018       Impact factor: 3.211

5.  A qualitative study of the drivers of socioeconomic inequalities in men's eating behaviours.

Authors:  Lena D Stephens; David Crawford; Lukar Thornton; Dana Lee Olstad; Philip J Morgan; Frank J van Lenthe; Kylie Ball
Journal:  BMC Public Health       Date:  2018-11-14       Impact factor: 3.295

6.  Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

Authors:  Alison Daly; Christina M Pollard; Deborah A Kerr; Colin W Binns; Martin Caraher; Michael Phillips
Journal:  Int J Environ Res Public Health       Date:  2018-11-22       Impact factor: 3.390

7.  Measuring and Understanding Food Insecurity in Australia: A Systematic Review.

Authors:  Fiona H McKay; Bronte C Haines; Matthew Dunn
Journal:  Int J Environ Res Public Health       Date:  2019-02-06       Impact factor: 3.390

8.  Socioeconomic Differences and the Potential Role of Tribes in Young People's Food and Drink Purchasing Outside School at Lunchtime.

Authors:  Ariadne Beatrice Kapetanaki; Wendy J Wills; Giada Danesi; Neil H Spencer
Journal:  Int J Environ Res Public Health       Date:  2019-07-10       Impact factor: 3.390

9.  Association of food security status with overweight and dietary intake: exploration of White British and Pakistani-origin families in the Born in Bradford cohort.

Authors:  T C Yang; P Sahota; K E Pickett; M Bryant
Journal:  Nutr J       Date:  2018-04-24       Impact factor: 3.271

10.  The Association between Stressful Events and Food Insecurity: Cross-Sectional Evidence from Australia.

Authors:  Jeromey B Temple
Journal:  Int J Environ Res Public Health       Date:  2018-10-23       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.