Evidence map›Paper›PMID 30428860›Full record

ArticleBMC public health2018

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

Lena D Stephens, David Crawford, Lukar Thornton, Dana Lee Olstad, Philip J Morgan, Frank J van Lenthe, Kylie Ball

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A population-based study of health-promoting behaviors and their predictors in Iranian males, 2019.Archives of public health = Archives belges de sante publique · 2021
    Article
  10. Behavioral Preventative Strategies Undertaken by Dental Clinics in Fiji during COVID-19 Pandemic.Journal of International Society of Preventive & Community Dentistry
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lena D StephensInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
David CrawfordInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
Lukar ThorntonInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
Dana Lee OlstadDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, Canada.
Philip J MorganPriority Research Centre in Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, New South Wales, Australia.
Frank J van LentheDepartment of Public Health, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands.
Kylie BallInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia. kylie.ball@deakin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen of low socioeconomic position (SEP) are less likely than those of higher SEP to consume fruits and vegetables, and more likely to eat processed discretionary foods. Education level is a widely used marker of SEP. Few studies have explored determinants of socioeconomic inequalities in men's eating behaviours. The present study aimed to explore intrapersonal, social and environmental factors potentially contributing to educational inequalities in men's eating behaviour.

methodsThirty Australian men aged 18-60 years (15 each with tertiary or non-tertiary education) from two large metropolitan sites (Melbourne, Victoria; and Newcastle, New South Wales) participated in qualitative, semi-structured, one-on-one telephone interviews about their perceptions of influences on their and other men's eating behaviours. The social ecological model informed interview question development, and data were examined using abductive thematic analysis.

resultsThemes equally salient across tertiary and non-tertiary educated groups included attitudes about masculinity; nutrition knowledge and awareness; 'moralising' consumption of certain foods; the influence of children on eating; availability of healthy foods; convenience; and the interplay between cost, convenience, taste and healthfulness when choosing foods. More prominent influences among tertiary educated men included using advanced cooking skills but having relatively infrequent involvement in other food-related tasks; the influence of partner/spouse support on eating; access to healthy food; and cost. More predominant influences among non-tertiary educated men included having fewer cooking skills but frequent involvement in food-related tasks; identifying that 'no-one' influenced their diet; having mobile worksites; and adhering to food budgets.

conclusionsThis study identified key similarities and differences in perceived influences on eating behaviours among men with lower and higher education levels. Further research is needed to determine the extent to which such influences explain socioeconomic variations in men's dietary intakes, and to identify feasible strategies that might support healthy eating among men in different socioeconomic groups.

Indexed as

Social ClassAdolescentAdultDietFast FoodsFeeding BehaviorFruitHumansMaleMenMiddle AgedNew South WalesQualitative ResearchVegetablesVictoriaYoung AdultEating behavioursMenNutritionSocioeconomic inequalities

Identifiers

PMID30428860
PMCPMC6236940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.