Disentangling the Drivers of Obesity: An Analytical Framework Based on Socioeconomic and Intrapersonal Factors

Wisdom Dogbe; Melania Salazar-Ordóñez; Jose M. Gil

doi:10.3389/fnut.2021.585318

Disentangling the Drivers of Obesity: An Analytical Framework Based on Socioeconomic and Intrapersonal Factors

Wisdom Dogbe^*, Melania Salazar-Ordóñez, Jose M. Gil

^*Corresponding author for this work

The Rowett Institute of Nutrition and Health

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

5 Downloads (Pure)

Abstract

Obesity is increasing at exponential rates in developed economies despite the numerous policy interventions being implemented. The causes of obesity are multifactorial demanding a holistic review for targeted intervention. This study, therefore, provides a holistic overview of multiple factors affecting body weights i.e., socioeconomic and intrapersonal factors. We used data from a household and experimental survey carried out in Spain (Barcelona) in 2014. A non-linear path analysis was used considering the non-linear relationships that might exist between these factors and body weight. Results confirm non-linear relationships between some socioeconomic, intrapersonal factors and body weight. Among the intrapersonal factors, obesity is directly influenced by volitional control of obesity, attitude toward obese persons, holding a correct body image and body image dissatisfaction. Socioeconomic factors that have significant influence on obesity were age, education and gender. Risk attitudes do not correlate with obesity.

Original language	English
Article number	585318
Number of pages	14
Journal	Frontiers in Nutrition
Volume	8
DOIs	https://doi.org/10.3389/fnut.2021.585318
Publication status	Published - 3 Mar 2021

Bibliographical note

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2021. 585318/full#supplementary-material

Keywords

attitude toward obesity
beliefs toward obesity
body mass index
economic and sociodemographic features
non-linear robust path analysis
risk and loss aversion

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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Disentangling the Drivers of Obesity: An Analytical Framework Based on Socioeconomic and Intrapersonal Factors

Abstract

Bibliographical note

Keywords

UN SDGs

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