Evidence map›Paper›PMID 27214139›Full record

ArticlePloS one2016

Socioeconomic Differences in Dietary Patterns in an East African Country: Evidence from the Republic of Seychelles.

Ana-Lucia Mayén, Pascal Bovet, Helena Marti-Soler, Bharathi Viswanathan, Jude Gedeon, Fred Paccaud, Pedro Marques-Vidal, Silvia Stringhini

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Hypertension Prevalence and Associated Risk Factors in a South African Population.International journal of environmental research and public health · 2026
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors.

Ana-Lucia MayénInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
Pascal BovetInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
Helena Marti-SolerInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
Bharathi ViswanathanMinistry of Health, Victoria, Republic of Seychelles.
Jude GedeonMinistry of Health, Victoria, Republic of Seychelles.
Fred PaccaudInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Silvia StringhiniInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn high income countries, low socioeconomic status (SES) is related to unhealthier dietary patterns, while evidence on the social patterning of diet in low and middle income countries is scarce.

objectiveIn this study, we assess dietary patterns in the general population of a middle income country in the African region, the Republic of Seychelles, and examine their distribution according to educational level and income.

methodsData was drawn from two independent national surveys conducted in the Seychelles among adults aged 25-64 years in 2004 (n = 1236) and 2013 (n = 1240). Dietary patterns were assessed by principal component analysis (PCA). Educational level and income were used as SES indicators. Data from both surveys were combined as no interaction was found between SES and year.

resultsThree dietary patterns were identified: "snacks and drinks", "fruit and vegetables" and "fish and rice". No significant associations were found between SES and the "snacks and drinks" pattern. Low vs. high SES individuals had lower adherence to the "fruit and vegetables" pattern [prevalence ratio (95% CI) 0.71 (0.60-0.83)] but a higher adherence to the traditional "fish and rice" pattern [1.58 (1.32-1.88)]. Income modified the association between education and the "fish and rice" pattern (p = 0.02), whereby low income individuals had a higher adherence to this pattern in both educational groups.

conclusionLow SES individuals have a lower consumption of fruit and vegetables, but a higher consumption of traditional foods like fish and rice. The Seychelles may be at a degenerative diseases stage of the nutrition transition.

Indexed as

Feeding BehaviorSocial ClassAdultAfrica, EasternBeveragesDietDiet SurveysFemaleFruitHumansIncomeMaleMiddle AgedSeychellesSocioeconomic FactorsVegetables

Identifiers

PMID27214139
PMCPMC4877066

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.