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Socioeconomic inequalities in abdominal obesity among Peruvian adults

*Corresponding author for this work
  • Universidad Científica del Sur
    ,
  • Universidad San Ignacio de Loyola
    ,
  • ,
  • Universitat Autonoma de Barcelona
    ,
  • Universidad de Buenos Aires
    ,
  • Universidad Peruana Cayetano Heredia
Research Output:
Contribution to journal
Article
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Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

e0254365

Journal (Volume, Issue Number)

PLoS ONE (Volume 16, Issue 7 July)

Publication milestones

  • Published - 07/2021

Publication status

Published - 07/2021

Publication IDs

  • Scopus: 85110997008
  • PubMed: 34288938

Abstract

Objectives Abdominal 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) cutoff points in Peruvian adults in 2018-2019. Methods This 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. Results The 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). Conclusions In 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.

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Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well