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Unconditional quantile regressions to determine the social gradient of obesity in Spain 1993–2014

Bibliographic Data

ID15394363
AuthorsAlejandro Rodrı́guez (0000-0002-8080-3094, Universidad de Las Palmas de Gran Canaria, corresponding author), Laura Vallejo-Torres (0000-0001-5833-6066, University College London), Beatriz G López-Valcárcel (0000-0002-5571-3257, Universidad de Las Palmas de Gran Canaria), Beatriz Lopez-Valcarcel
Year2016
Volume15
Issue1
Pages175-175
Publication date2016-10-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal for Equity in Health (JOURNAL)
Journal identifiersISSN: 1475-9276 • E-ISSN: 1475-9276
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12939-016-0454-1
PMID27756299
OpenAlexW2533390338
LanguageEN
Citations received14
References cited30

The findings of this study emphasise the heterogeneous nature of the relationship between social factors and obesity across the BMI distribution as a whole. Quantile regression methods might provide a more suitable framework for exploring the complex socioeconomic gradient of obesity

Body mass index · Distribution (mathematics · Econometrics · Economics · Obesity · Population · Quantile · Quantile regression · Social class · Socioeconomic status · Sociology · Demography · Health disparities and outcomes · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet

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Unique citing works14
Citations per year1.75
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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