Body Mass Index and Risk of Second Obesity-Associated Cancers After Colorectal Cancer: A Pooled Analysis of Prospective Cohort Studies

Purpose To determine whether prediagnostic body mass index (BMI) is associated with risk of second obesity-associated cancers in colorectal cancer (CRC) survivors, and whether CRC survivors have increased susceptibility to obesity-associated cancer compared with cancer-free individuals. Patients and Methods Incident first primary CRC cases (N = 11,598) were identified from five prospective cohort studies. We used Cox proportional hazards regression models to examine associations between baseline (prediagnostic) BMI and risk of second obesity-associated cancers (postmenopausal breast, kidney, pancreas, esophageal adenocarcinoma, endometrium) in CRC survivors, and compared associations to those for first obesity-associated cancers in the full cohort. Results Compared with survivors with normal prediagnostic BMI (18.5-24.9 kg/m2), those who were overweight (25-29.9 kg/m2) or obese (30+ kg/m2) had greater risk of a second obesity-associated cancer (n = 224; overweight hazard ratio [HR], 1.39; 95% CI, 1.01 to 1.92; obese HR, 1.47; 95% CI, 1.02 to 2.12; per 5-unit change in BMI HR, 1.12; 95% CI, 0.98 to 1.29). The magnitude of risk for developing a first primary obesity-associated cancer was similar (overweight HR, 1.18; 95% CI, 1.14 to 1.21; obese HR, 1.61; 95% CI, 1.56 to 1.66; per 5-unit change in BMI HR, 1.23; 95% CI, 1.21 to 1.24). Before diagnosis CRC patients were somewhat more likely than the overall cohort to be overweight (44% v 41%) or obese (25% v 21%). Conclusion CRC survivors who were overweight or obese before diagnosis had increased risk of second obesity-associated cancers compared with survivors with normal weight. The risks were similar in magnitude to those observed for first cancers in this population, suggesting increased prevalence of overweight or obesity, rather than increased susceptibility, may contribute to elevated second cancer risks in colorectal cancer survivors compared with the general population. These results support emphasis of existing weight guidelines for this high-risk group.

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Association between Body Mass Index and Prognosis of Colorectal Cancer: A Meta-Analysis of Prospective Cohort Studies

PLoS ONE ◽

10.1371/journal.pone.0120706 ◽

2015 ◽

Vol 10 (3) ◽

pp. e0120706 ◽

Cited By ~ 44

Author(s):

Junga Lee ◽

Jeffrey A. Meyerhardt ◽

Edward Giovannucci ◽

Justin Y. Jeon

Keyword(s):

Colorectal Cancer ◽

Body Mass Index ◽

Cohort Studies ◽

Body Mass ◽

Prospective Cohort ◽

Meta Analysis ◽

Prospective Cohort Studies

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Association between body mass index and all-cause mortality in colorectal cancer patients: A meta-analysis of prospective cohort studies.

Journal of Clinical Oncology ◽

10.1200/jco.2014.32.15_suppl.3613 ◽

2014 ◽

Vol 32 (15_suppl) ◽

pp. 3613-3613

Author(s):

Junga Lee ◽

Justin Y Jeon ◽

Jeffrey A. Meyerhardt ◽

Edward L. Giovannucci ◽

Ji Young Kim ◽

...

Keyword(s):

Colorectal Cancer ◽

Body Mass Index ◽

Cohort Studies ◽

Cancer Patients ◽

Body Mass ◽

Prospective Cohort ◽

Meta Analysis ◽

Prospective Cohort Studies ◽

All Cause Mortality ◽

Colorectal Cancer Patients

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Correction: Association between Body Mass Index and Prognosis of Colorectal Cancer: A Meta-Analysis of Prospective Cohort Studies

PLoS ONE ◽

10.1371/journal.pone.0147456 ◽

2016 ◽

Vol 11 (1) ◽

pp. e0147456

Author(s):

Keyword(s):

Colorectal Cancer ◽

Body Mass Index ◽

Cohort Studies ◽

Body Mass ◽

Prospective Cohort ◽

Meta Analysis ◽

Prospective Cohort Studies

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Childhood body mass index and subsequent physician-diagnosed asthma: a systematic review and meta-analysis of prospective cohort studies

BMC Pediatrics ◽

10.1186/1471-2431-13-121 ◽

2013 ◽

Vol 13 (1) ◽

Cited By ~ 85

Author(s):

Kathryn B Egan ◽

Adrienne S Ettinger ◽

Michael B Bracken

Keyword(s):

Systematic Review ◽

Body Mass Index ◽

Cohort Studies ◽

Body Mass ◽

Prospective Cohort ◽

Meta Analysis ◽

Prospective Cohort Studies ◽

Childhood Body Mass Index

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The Relationship Between Obesity and Lymphoma: A Meta-Analysis of Prospective Cohort Studies

Blood ◽

10.1182/blood.v118.21.5198.5198 ◽

2011 ◽

Vol 118 (21) ◽

pp. 5198-5198 ◽

Cited By ~ 1

Author(s):

Randall R Ingham ◽

John L. Reagan ◽

Samir Dalia ◽

Michael Furman ◽

Basma Merhi ◽

...

Keyword(s):

Body Mass Index ◽

Cohort Studies ◽

Hodgkin Lymphoma ◽

Prospective Cohort ◽

Research Funding ◽

Meta Analysis ◽

Obese Patients ◽

Prospective Cohort Studies ◽

Increased Risk ◽

Meta Regression

Abstract Abstract 5198 Introduction: Lymphoma is a common hematologic malignancy, etiology of which remains largely unclear. Obesity and overweight have been associated with an increased risk of developing lymphoma; however, with conflicting results. The main objective of this meta-analysis is to evaluate the potential relationship that overweight and obesity may have in the development of lymphoma in adults. A secondary objective was to evaluate the risk of separate lymphoma subtypes, such as Hodgkin lymphoma (HL), and non-Hodgkin lymphoma (NHL) and the most common NHL subtypes – diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) – in overweight and obese individuals. Methods: A MEDLINE search from January 1950 to December 2010 was undertaken using: (obesity OR “body mass index” OR BMI OR overweight) AND (leukemia OR lymphoma OR myeloma). Only prospective cohort studies reporting on the incidence of lymphoma were included. Retrospective case-control and cross-sectional studies were excluded. Meta-analyses were performed for HL, NHL and NHL subtypes. The outcome was calculated as relative risk (RR). Overweight was defined as body mass index (BMI) 25–29.9 kg/m2 and obesity as BMI ≥30 kg/m2, according to the WHO criteria. The quality of the studies was determined by the Newcastle-Ottawa scale (NOS). The random effects model was used to calculate the combined outcome. Heterogeneity was assessed by the I2 statistic. Publication bias was assessed by the trim-and-fill analysis. Meta-regression analyses were performed to evaluate the association between BMI, as a continuous variable, and the incidence of HL and NHL in general and NHL subtypes. Literature search, data gathering and study quality assessment were performed independently by at least two of the investigators. All graphs and calculations were obtained using Comprehensive Meta-Analysis version 2 (Biostat, Englewood, NJ). Results: From 758 returns, 22 prospective cohort studies evaluating the association between obesity and lymphoma were identified. All the studies were of high quality (NOS >7 points). For NHL, the overall RR was 1.06 (95% CI 1.02–1.10; p=0.001). For overweight and obese patients, the RR were 1.04 (95% CI 1.01–1.07; p=0.02) and 1.11 (95% CI 1.06–1.16; p<0.001), respectively. Meta-regression showed a linear association between BMI and incidence of NHL (p<0.001). For DLBCL, the overall RR was 1.14 (95% CI 1.01–1.29; p=0.03). Overweight and obese patients had a RR of 1.08 (95% CI 0.96–1.22; p=0.22) and 1.24 (95% CI 1.08–1.44; p=0.003), respectively. Meta-regression showed a trend towards a significant association between BMI and incidence of DLBCL (p=0.1). For FL, the overall RR was 1.11 (95% CI 0.99–1.25; p=0.08). Overweight and obese patients had a RR of 1.10 (95% CI 0.94–1.28; p=0.25) and 1.15 (95% CI 0.97–1.36; p=0.11), respectively. Meta-regression showed no association between BMI and incidence of FL (p=0.78). For HL, the overall RR was 1.10 (95% CI 0.97–1.26; p=0.15). Overweight and obese patients had a RR of 0.91 (95% CI 0.80–1.03; p=0.13) and 1.23 (95% CI 1.05–1.44; p=0.009), respectively. Meta-regression showed a statistically significant linear relationship between BMI and incidence of HL (p=0.009). Conclusions: Obesity was associated with a mild increased risk of developing HL (23%), NHL in general (11%) and DLBCL (24%), but there was no association with FL. There was a statistically significant linear association between BMI and HL as well as for NHL in general, but only a trend towards an association with DLBCL. Disclosures: Castillo: GlaxoSmithKline: Research Funding; Millennium Pharmaceuticals: Research Funding.

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The association of birth order with later body mass index and blood pressure: a comparison between prospective cohort studies from the United Kingdom and Brazil

International Journal of Obesity ◽

10.1038/ijo.2013.189 ◽

2013 ◽

Vol 38 (7) ◽

pp. 973-979 ◽

Cited By ~ 6

Author(s):

L D Howe ◽

P C Hallal ◽

A Matijasevich ◽

J C Wells ◽

I S Santos ◽

...

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

United Kingdom ◽

Cohort Studies ◽

Birth Order ◽

Body Mass ◽

Prospective Cohort ◽

Prospective Cohort Studies ◽

The United Kingdom

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Risk of type 2 diabetes in metabolically healthy people in different categories of body mass index: an updated network meta-analysis of prospective cohort studies

Journal of Cardiovascular and Thoracic Research ◽

10.15171/jcvtr.2019.43 ◽

2019 ◽

Vol 11 (4) ◽

pp. 254-263 ◽

Cited By ~ 3

Author(s):

Somayeh Tajik ◽

Atieh Mirzababaei ◽

Ehsan Ghaedi ◽

Hamed Kord-Varkaneh ◽

Khadijeh Mirzaei

Keyword(s):

Body Mass Index ◽

Cohort Studies ◽

Body Mass ◽

Prospective Cohort ◽

Reference Group ◽

Meta Analysis ◽

Normal Weight ◽

Prospective Cohort Studies ◽

Metabolically Healthy

Introduction: Risk of diabetes mellitus type 2 (T2DM) is variable between individuals due to different metabolic phenotypes. In present network meta-analysis, we aimed to evaluate the risk of T2DM related with current definitions of metabolic health in different body mass index (BMI) categories.<br /> Methods: Relevant articles were collected by systematically searching PubMed and Scopus databases up to 20 March 2018 and for analyses we used a random-effects model. Nineteen prospective cohort studies were included in the analyses and metabolically healthy normal weight (MHNW) was considered as the reference group in direct comparison for calculating indirect comparisons in difference type of BMI categories. <br /> Results: Total of 199403 participants and 10388 cases from 19 cohort studies, were included in our network meta-analysis. Metabolically unhealthy obesity (MUHO) group poses highest risk for T2DM development with 10 times higher risk when is compared with MHNW (10.46 95% CI; 8.30, 13.18) and after that Metabolically unhealthy overweight (MUOW) individuals were at highest risk of T2DM with 7 times higher risk comparing with MHNW (7.25, 95% CI; 5.49, 9.57). Metabolically healthy overweight and obese (MHOW/MHO) individuals have (1.77, 95% CI; 1.33, 2.35) and (3.00, 95% CI; 2.33, 3.85) risk ratio for T2DM development in comparison with MHNW respectively. <br /> Conclusion: In conclusion we found that being classified as overweight and obese increased the risk of T2DM in comparison with normal weight. In addition, metabolically unhealthy (MUH) individuals are at higher risk of T2DM in all categories of BMI compared with metabolically healthy individuals.

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