Association Between Obesity/Overweight and Leukemia: A Meta-Analysis of Prospective Cohort Studies,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3588-3588 ◽  
Author(s):  
John L. Reagan ◽  
Randall R Ingham ◽  
Samir Dalia ◽  
Michael Furman ◽  
Basma Merhi ◽  
...  

Abstract Abstract 3588 Introduction: Leukemia is a common hematologic malignancy for which the etiology remains largely unclear. The epidemiological data regarding the link between overweight and obesity, as defined by body mass index (BMI), and the risk of developing leukemia has revealed 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 leukemia in adults. A secondary objective was to evaluate the risk of separate leukemia subtypes such as acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), chronic myeloid leukemia (CML) and chronic lymphocytic leukemia (CLL). 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 leukemia were included. Retrospective case-control and cross-sectional studies were excluded. Meta-analyses were performed for leukemia in general and leukemia subtypes. The outcome was calculated as relative risk (RR). Overweight was defined as 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 (REM) 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 leukemia in general as well as BMI and leukemia subtypes. Literature search, data gathering and quality assessment were performed independently by at least 2 of the investigators. All graphs and calculations were obtained using Comprehensive Meta-Analysis version 2 (Biostat, Englewood, NJ). Results: From 758 returns, 19 prospective cohort studies evaluating the association between incidence of leukemia and BMI were identified. All the studies were of high quality (NOS >7 points). When pooling all studies, the RR was 1.14 (95% CI 1.07–1.22; p<0.001). Overweight patients had a RR of 1.11 (95% CI 1.06–1.17; p<0.001), and obese patients had a RR of 1.19 (95% CI 1.09–1.31; p<0.001). Meta-regression showed linear association between BMI and leukemia (p<0.001). For AML, the overall RR was 1.24 (95% 1.10–1.41; p=0.001). Overweight patients had RR of 1.08 (95% CI 0.97–1.20; p=0.18). Obese patients had RR of 1.38 (95% CI 1.15–1.67; p=0.001; Figure). Meta-regression showed a statistically significant linear association between BMI and incidence of AML (p<0.001). For ALL, the overall RR was 1.48 (95% CI 1.20–1.80; p<0.001). Overweight patients had RR of 1.36 (95% CI 1.06–1.76; p=0.02). Obese patients had RR of 1.62 (95% CI 1.13–2.32; p=0.009). Meta-regression showed no association between BMI and incidence of ALL (p=0.25). For CML, the RR was 1.20 (95% CI 1.02–1.41; p=0.03). Overweight and obese patients had RR of 1.05 (95% CI 0.74–1.49; p=0.79) and 1.27 (95% CI 1.10–1.46; p=0.001), respectively. Meta-regression showed no association between BMI and CML (p=0.15). For CLL, the overall RR was 1.13 (95% CI 1.07–1.19; p<0.001). Overweight and obese patients had RR of 1.09 (95% CI 1.03–1.16; p=0.003) and 1.17 (95% CI 1.09–1.25; p<0.001). Meta-regression showed a trend towards a linear association between BMI and incidence of CLL (p=0.06). Conclusions: Obesity, but not overweight, is associated with a mild-to-moderate increased risk of leukemia in general (19%) and for all leukemia subtypes (AML 38%, ALL 62%, CML 27% and CLL 17%). Additionally, meta-regression analyses showed a statistically significant linear association between increasing BMI and general incidence of leukemia in addition to incidence of AML. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 5198-5198 ◽  
Author(s):  
Randall R Ingham ◽  
John L. Reagan ◽  
Samir Dalia ◽  
Michael Furman ◽  
Basma Merhi ◽  
...  

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.


2018 ◽  
Vol 15 (9) ◽  
pp. 869-876 ◽  
Author(s):  
Yue Ruan ◽  
Jun Tang ◽  
Xiaofei Guo ◽  
Kelei Li ◽  
Duo Li

Background: Epidemiological studies showed that dietary fat intake is associated with Alzheimer’s disease (AD) and dementia risk, however, the association remain inconsistent. This metaanalysis aimed to systematically examine the association of dietary fat intake with AD and dementia risk. Methods: We have systematically searched PubMed, Embase and the Cochrane Library up to May 1st 2017. Prospective cohort studies were included if they reported on the association of dietary fat intake with AD and dementia risk. Multivariate-adjusted relative risks (RRs) for the highest versus lowest category were pooled by using a random-effects model. Results: A total of 8630 participants and 633 cases from four independent prospective cohort studies were included in the present meta-analysis. A higher dietary saturated fat intake was significantly associated with an increased risk of 39% and 105% for AD (RR: 1.39; 95% CI: 1.00, 1.94) and dementia (RR: 2.05; 95% CI: 1.06, 3.98), respectively. Dose-response analysis indicated a 4 g/day increment of saturated fat intake was related to 15% higher risk of AD (RR: 1.15; 95% CI: 1.01, 1.31). However, there was no significant association found between dietary intake of total, monounsaturated, polyunsaturated fat and AD or dementia risk. Conclusions: This meta-analysis provides significant evidence of positive association between higher saturated fat intake and AD and dementia risk.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangmei Zhao ◽  
Dongying Wang ◽  
Lijie Qin

Abstract Background This meta-analysis based on prospective cohort studies aimed to evaluate the associations of lipid profiles with the risk of major adverse cardiovascular outcomes in patients with coronary heart disease (CHD). Methods The PubMed, Embase, and Cochrane Library electronic databases were systematically searched for prospective cohort study published through December 2019, and the pooled results were calculated using the random-effects model. Results Twenty-one studies with a total of 76,221 patients with CHD met the inclusion criteria. The per standard deviation (SD) increase in triglyceride was associated with a reduced risk of major adverse cardiovascular events (MACE). Furthermore, the per SD increase in high-density lipoprotein cholesterol (HDL-C) was associated with a reduced risk of cardiac death, whereas patients with lower HDL-C were associated with an increased risk of MACE, all-cause mortality, and cardiac death. Finally, the risk of MACE was significantly increased in patients with CHD with high lipoprotein(a) levels. Conclusions The results of this study suggested that lipid profile variables could predict major cardiovascular outcomes and all-cause mortality in patients with CHD.


2021 ◽  
pp. bjsports-2020-103140
Author(s):  
Rodney K Dishman ◽  
Cillian P McDowell ◽  
Matthew Payton Herring

ObjectiveTo explore whether physical activity is inversely associated with the onset of depression, we quantified the cumulative association of customary physical activity with incident depression and with an increase in subclinical depressive symptoms over time as reported from prospective observational studies.DesignSystematic review and meta-analysis.Data sourcesMEDLINE, PsycINFO, PsycARTICLES and CINAHL Complete databases, supplemented by Google Scholar.Eligibility criteriaProspective cohort studies in adults, published prior to January 2020, reporting associations between physical activity and depression.Study appraisal and synthesisMultilevel random-effects meta-analysis was performed adjusting for study and cohort or region. Mixed-model meta-regression of putative modifiers.ResultsSearches yielded 111 reports including over 3 million adults sampled from 11 nations in five continents. Odds of incident cases of depression or an increase in subclinical depressive symptoms were reduced after exposure to physical activity (OR, 95% CI) in crude (0.69, 0.63 to 0.75; I2=93.7) and adjusted (0.79, 0.75 to 0.82; I2=87.6) analyses. Results were materially the same for incident depression and subclinical symptoms. Odds were lower after moderate or vigorous physical activity that met public health guidelines than after light physical activity. These odds were also lower when exposure to physical activity increased over time during a study period compared with the odds when physical activity was captured as a single baseline measure of exposure.ConclusionCustomary and increasing levels of moderate-to-vigorous physical activity in observational studies are inversely associated with incident depression and the onset of subclinical depressive symptoms among adults regardless of global region, gender, age or follow-up period.


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