Evidence mapPaperPMID 37208513Full record

ArticleInternational journal of obesity (2005)2023

Association between BMI, RFM and mortality and potential mediators: Prospective findings from the Moli-sani study.

Anwal Ghulam, Francesco Gianfagna, Marialaura Bonaccio, Simona Costanzo, Augusto Di Castelnuovo, Amalia De Curtis, Alessandro Gialluisi, Chiara Cerletti, Maria Benedetta Donati, Giovanni de Gaetano and 2 more

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In one paragraph

Article in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Anwal GhulamResearch Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy.
Francesco GianfagnaResearch Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy. francesco.gianfagna@uninsubria.it.ORCID 0000-0003-4615-0816
Marialaura BonaccioDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.ORCID 0000-0002-8082-6552
Simona CostanzoDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.ORCID 0000-0003-4569-1186
Augusto Di CastelnuovoMediterranea Cardiocentro, Napoli, Italy.
Amalia De CurtisDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Alessandro GialluisiResearch Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy.
Chiara CerlettiDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Maria Benedetta DonatiDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Giovanni de GaetanoDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Licia IacovielloResearch Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy.ORCID 0000-0003-0514-5885
Moli-sani Investigators
Istituto Neurologico Mediterraneo · ITUniversity of Insubria · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversità Cattolica del Sacro Cuore · ITClinica Mediterranea · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody mass index (BMI) is the most frequently used adiposity measure, yet it is unable to differentiate fat mass from lean mass. Relative fat mass (RFM) has been proposed as an alternative. This paper aims to study RFM and BMI association with mortality in a general Italian population and potential mediators of such association.

methods20,587 individuals from the Moli-sani cohort were analysed (mean age = 54 ± 11, women = 52%, median follow up = 11.2 years, interquartile range = 1.96 years). Cox regressions were used to assess BMI, RFM, and their interactive association with mortality. Dose-response relationships were computed with spline regression, mediation analysis was performed. All analyses were separated for men and women.

resultsMen and women with BMI > 35 kg/m

conclusionsThe association between anthropometric measures and mortality was U shaped and it was largely dependent on sex. Associations were mediated by glucose metabolism, renal and lung function. Public health interventions should mainly focus on people with severe obesity or impaired metabolic, renal, or respiratory function.

Indexed as

Cystatin CObesityAdiposityBody Mass IndexChild, PreschoolFemaleHumansInfantMaleProspective StudiesCystatin C

Identifiers

PMID37208513
OpenAlexW4377097184

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.