Evidence map›Paper›PMID 28903371›Full record

ArticleOncotarget2017

Sociodemographic and economic factors are associated with weight gain between before and after cancer diagnosis: results from the prospective population-based NutriNet-Santé cohort.

Philippine Fassier, Laurent Zelek, Patrick Bachmann, Marina Touillaud, Nathalie Druesne-Pecollo, Valentin Partula, Serge Hercberg, Pilar Galan, Patrice Cohen, Hélène Hoarau and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 10 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

15 authors at 4 institutions in 1 country.

Philippine FassierNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Laurent ZelekNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Patrick BachmannCancer, Environment and Nutrition Unit, Léon Bérard Center, F-69000, Lyon, France.
Marina TouillaudCancer, Environment and Nutrition Unit, Léon Bérard Center, F-69000, Lyon, France.
Nathalie Druesne-PecolloNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Valentin PartulaNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Serge HercbergNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Pilar GalanNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Patrice CohenSociology Department, University of Rouen, DySola, EA 4701, F-76821, Rouen, France.
Hélène HoarauSociology Department, University of Rouen, DySola, EA 4701, F-76821, Rouen, France.
Paule Latino-MartelNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Bernard SrourNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Rebeca GonzalezNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Mélanie DeschasauxNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Mathilde TouvierNutritional Epidemiology Research Team (EREN): Inserm U1153, Inra U1125, Cnam, Paris 5, 7 and 13 Universities, Sorbonne Paris Cité Epidemiology and Statistics Research Center, F-93017, Bobigny, France.
Université Paris Cité · FRSorbonne Paris Cité · FRInserm · FRUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile many cancer patients are affected by weight loss, others tend to gain weight, which may impact prognosis and risk of recurrence and of second cancer. The aim of this prospective study was to investigate weight variation between before and after cancer diagnosis and socio-demographic, economic, lifestyle and clinical factors associated with moderate-to-severe weight gain.

methods1051 incident cases of first primary cancer were diagnosed in the NutriNet-Santé cohort between 2009 and 2015. Weight was prospectively collected every 6 months since subjects' inclusion (i.e. an average of 2y before diagnosis). Mean weights before and after cancer diagnosis were compared with paired Student's t-test. Factors associated with moderate-to-severe weight gain (≥5% of initial weight) were investigated by age and sex-adjusted logistic regression.

resultsWeight loss was observed in men (-3.54±4.39kg in those who lost weight, p=0.0002) and in colorectal cancer patients (-3.94±4.40kg, p=0.001). Weight gain was observed in breast and skin cancers (2.83±3.21kg, p=0.04, and 2.96±2.75kg, p=0.04 respectively). Women (OR=1.75[1.06-2.87],p=0.03), younger patients (2.44[1.51-3.70],p<0.0001), those with lower income (OR=1.30[1.01-1.72],p-trend=0.007), lower education (OR=1.32[1.03-2.70],p-trend=0.03), excess weight before diagnosis (OR=1.64[1.12-2.42],p=0.01), lower physical activity (OR=1.28[1.01-1.64],p=0.04) and those who stopped smoking (OR=4.31[1.99-9.35],p=0.005]) were more likely to gain weight. In breast cancer patients, induced menopause was associated with weight gain (OR=4.12[1.76-9.67]), but no association was detected for tumor characteristics or treatments.

conclusionThis large prospective cohort provided original results on weight variation between before and after cancer diagnosis, highlighting different weight trajectories. Socio-demographic and economic factors appeared to influence the risk of weight gain, illustrating social inequalities in health.

Indexed as

breast cancercancer diagnosissocio-demographic factorsweight gainweight loss

Identifiers

PMID28903371
PMCPMC5589610
OpenAlexW2613350738

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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.