Evidence map›Paper›PMID 34288938›Full record

Trial reportPloS one2021

Socioeconomic inequalities in abdominal obesity among Peruvian adults.

Marioli Y Farro-Maldonado, Glenda Gutiérrez-Pérez, Akram Hernández-Vásquez, Antonio Barrenechea-Pulache, Marilina Santero, Carlos Rojas-Roque, Diego Azañedo

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Marioli Y Farro-MaldonadoUniversidad Científica del Sur, Lima, Peru.
Glenda Gutiérrez-PérezUniversidad Científica del Sur, Lima, Peru.
Akram Hernández-VásquezVicerrectorado de Investigación, Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
Antonio Barrenechea-PulacheUniversidad Científica del Sur, Lima, Peru.ORCID 0000-0003-4583-5434
Marilina SanteroUniversitat Autònoma de Barcelona, Barcelona, Spain.
Carlos Rojas-RoqueUniversidad de Buenos Aires, Buenos Aires, Argentina.
Diego AzañedoUniversidad Peruana Cayetano Heredia, Facultad de Ciencias y Filosofía, Lima, Peru.ORCID 0000-0003-1375-8788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAbdominal obesity (AO) has become a public health issue due to its impact on health, society and the economy. The relationship between socioeconomic disparities and the prevalence of AO has yet to be studied in Peru. Thus, our aim was to analyze the socioeconomic inequalities in AO distribution defined using the International Diabetes Federation (IDF) cut-off points in Peruvian adults in 2018-2019.

methodsThis was a cross-sectional study using data from the 2018-2019 Demographic and Family Health Survey (ENDES) of Peru. We analyzed a representative sample of 62,138 adults over 18 years of age of both sexes from urban and rural areas. Subjects were grouped into quintiles of the wealth to calculate a concentration curve and the Erreygers Concentration Index (ECI) in order to measure the inequality of AO distribution. Finally, we performed a decomposition analysis to evaluate the major determinants of inequalities.

resultsThe prevalence of AO among Peruvian adults was 73.8%, being higher among women than men (85.1% and 61.1% respectively, p < 0.001). Socioeconomic inequality in AO was more prominent among men (ECI = 0.342, standard error (SE) = 0.0065 vs. ECI = 0.082, SE = 0.0043). The factors that contributed most to inequality in the prevalence of AO for both sexes were having the highest wealth index (men 37.2%, women 45.6%, p < 0.001), a higher education (men 34.4%, women 41.4%, p < 0.001) and living in an urban setting (men 22.0%, women 57.5%, p < 0.001).

conclusionsIn Peru the wealthy concentrate a greater percentage of AO. The inequality gap is greater among men, although AO is more prevalent among women. The variables that most contributed to inequality were the wealth index, educational level and area of residence. There is a need for effective individual and community interventions to reduce these inequalities.

Indexed as

Rural PopulationSocioeconomic FactorsUrban PopulationAdolescentAdultFemaleHumansMaleMiddle AgedObesity, AbdominalPeruSex Factors

Identifiers

PMID34288938
PMCPMC8294571

What OpenQuestion holds

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Registered trials

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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.