Evidence map›Paper›PMID 40596691›Full record

ArticleInternational journal of obesity (2005)2025

Which adiposity marker is most strongly associated with all‑cause and cause‑specific mortality? a prospective study of 158,699 Mexican adults.

Weder Alves da Silva, Leandro F M Rezende, Adilson Marques, Marcelo de Maio Nascimento, Eduardo Nilson, Diego G D Christofaro, Roberto Fernandes da Costa, Gerson Ferrari

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Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Weder Alves da SilvaGraduate Program in Human Movement and Rehabilitation of Evangelical University of Goias, Anápolis, Goiás, Brazil.ORCID 0000-0002-7677-4710
Leandro F M RezendeDepartment of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID 0000-0002-7469-1399
Adilson MarquesCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Marcelo de Maio NascimentoDepartment of Physical Education, Federal University of Vale do São Francisco, Petrolina, Brazil.
Eduardo NilsonPrograma de Alimentação, Nutrição e Cultura, Fundação Oswaldo Cruz, Brasília, Brazil.
Diego G D ChristofaroSchool of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente (SP), São Paulo, Brazil.
Roberto Fernandes da CostaFacultad de Ciencias de la Salud, Universidad Autónoma de Chile, Providencia, Chile.ORCID 0000-0002-8789-1744
Gerson FerrariFacultad de Ciencias de la Salud, Universidad Autónoma de Chile, Providencia, Chile. gerson.demoraes@uautonoma.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious methods have been used to assess adiposity and its associations with morbidity and mortality. In this study, we aimed to examine the association of four adiposity markers with all‑cause and cause‑specific mortality, while evaluating the potential influence of reverse causation bias.

methodsThis prospective cohort study included 158,699 participants from the Mexico City Prospective Study. Cox regression models were performed to estimate the associations of body mass index, waist circumference, waist-to-height ratio, and waist-to-hip ratio with mortality risk. To minimize the influence of reverse causation, we excluded participants with prevalent diseases at baseline and conducted additional analyses excluding deaths occurring within the first 2, 5, and 10 years of follow-up.

resultsOver a median of 15.5 years, 28,296 death were recorded. Waist circumference values above the recommended cutoff considered high were associated with higher all-cause mortality after the exclusion of the first 2, 5, and 10 years of follow-up (HR: 1.83; 95% CI: 1.26-2.55, HR: 1.83; 95% CI: 1.23-2.62, and HR: 1.85; 95% CI: 1.14-2.70, respectively). Elevated waist-to-hip ratio was associated with increased all-cause mortality across the same exclusion periods (HR: 1.71; 95% CI: 1.07-2.30, HR: 1.70; 95% CI: 1.05-2.49, and HR: 1.71; 95% CI: 1.01-2.52). High waist circumference was strongly associated with CVD mortality after exclusion of the first 2, 5, and 10 years (HR: 4.76; 95% CI: 1.70-11.82, HR: 4.75; 95% CI: 1.56-11.88, and HR: 4.73; 95% CI: 1.42-12.90, respectively). Elevated waist-to-hip ratio similarly showed associations with CVD mortality (HR: 2.69; 95% CI: 1.10-5.60, HR: 2.66; 95% CI: 1.12-5.75, and HR: 2.64; 95% CI: 1.03-7.32). Body mass index, waist circumference, waist-to-height ratio, and waist-hip ratio were not associated with respiratory and cancer mortality.

conclusionsWaist circumference was the adiposity marker most strongly associated with all-cause and CVD mortality, even after excluding the first 10 years of follow-up.

Indexed as

AdiposityObesityAdultAgedBody Mass IndexCause of DeathFemaleHumansMaleMexicoMiddle AgedMortalityProspective StudiesRisk FactorsWaist CircumferenceWaist-Height Ratio

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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.