scholarly journals Dairy consumption and lung cancer risk: a meta-analysis of prospective cohort studies

2015 ◽  
pp. 111 ◽  
Author(s):  
Yi Yu ◽  
Hui Li ◽  
Kaiwu Xu ◽  
Xin Li ◽  
Chunlin Hu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Dairy Consumption

Blood lipids profile and lung cancer risk in a meta-analysis of prospective cohort studies

2017 ◽  
Vol 11 (4) ◽  
pp. 1073-1081 ◽  
Author(s):  
Xiaojing Lin ◽  
Lei Lu ◽  
Lingli Liu ◽  
Siyu Wei ◽  
Yunyun He ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Blood Lipids ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Lipids Profile

scholarly journals Dairy consumption and CVD: a systematic review and meta-analysis

2016 ◽  
Vol 115 (4) ◽  
pp. 737-750 ◽  
Author(s):  
Dominik D. Alexander ◽  
Lauren C. Bylsma ◽  
Ashley J. Vargas ◽  
Sarah S. Cohen ◽  
Abigail Doucette ◽  
...  
Keyword(s):  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Sensitivity Analyses ◽  
Dairy Intake ◽  
Prospective Cohort Studies ◽  
Dairy Consumption ◽  
Risk Estimates

AbstractInverse associations between dairy consumption and CVD have been reported in several epidemiological studies. Our objective was to conduct a meta-analysis of prospective cohort studies of dairy intake and CVD. A comprehensive literature search was conducted to identify studies that reported risk estimates for total dairy intake, individual dairy products, low/full-fat dairy intake, Ca from dairy sources and CVD, CHD and stroke. Random-effects meta-analyses were used to generate summary relative risk estimates (SRRE) for high v. low intake and stratified intake dose–response analyses. Additional dose–response analyses were performed. Heterogeneity was examined in sub-group and sensitivity analyses. In total, thirty-one unique cohort studies were identified and included in the meta-analysis. Several statistically significant SRRE below 1.0 were observed, namely for total dairy intake and stroke (SRRE=0·91; 95 % CI 0·83, 0·99), cheese intake and CHD (SRRE=0·82; 95 % CI 0·72, 0·93) and stroke (SRRE=0·87; 95 % CI 0·77, 0·99), and Ca from dairy sources and stroke (SRRE=0·69; 95 % CI 0·60, 0·81). However, there was little evidence for inverse dose–response relationships between the dairy variables and CHD and stroke after adjusting for within-study covariance. The results of this meta-analysis of prospective cohort studies have shown that dairy consumption may be associated with reduced risks of CVD, although additional data are needed to more comprehensively examine potential dose–response patterns.

Tea consumption and lung cancer risk: A meta-analysis of case–control and cohort studies

Nutrition ◽  
2014 ◽  
Vol 30 (10) ◽  
pp. 1122-1127 ◽  
Author(s):  
Lanfang Wang ◽  
Xingwei Zhang ◽  
Jing Liu ◽  
Li Shen ◽  
Zhiqiang Li
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Tea Consumption

scholarly journals Association between Sleep Duration and Cancer Risk: A Meta-Analysis of Prospective Cohort Studies

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74723 ◽  
Author(s):  
Yan Lu ◽  
Nong Tian ◽  
Jie Yin ◽  
Yuhua Shi ◽  
Zhenping Huang
Keyword(s):  
Cancer Risk ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies

scholarly journals Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Clara Bodelon ◽  
Srikant Ambatipudi ◽  
Pierre-Antoine Dugué ◽  
Annelie Johansson ◽  
Joshua N. Sampson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Blood Collection ◽  
Prospective Cohort Studies ◽  
Average Methylation

Abstract Background Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. Methods We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/−), and time since blood collection (< 5, 5–10, > 10 years). The false discovery rate (q value) was used to account for multiple testing. Results The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98). Conclusions Our data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk.

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