scholarly journals Dietary fresh fish and processed fish intake and the risk of glioma: A meta-analysis of observational studies

2019 ◽  
Vol 65 (8) ◽  
pp. 48
Author(s):  
Zihe Zhang ◽  
Jiangze Xin
2020 ◽  
Vol 48 (8) ◽  
pp. 030006052093969
Author(s):  
Honcho Lei ◽  
Chiho To ◽  
Unpeng Lei

Objectives We investigated the association between the consumption of fresh and processed fish and glioma risk using a meta-analysis approach. Methods We selected and analyzed observational studies that discussed the relationships between fresh and processed fish intake on glioma risk from PubMed, Web of Science, Embase, and the SinoMed and Wanfang databases from inception to 31 March 2020. Studies were selected according to pre-established eligibility criteria and data were extracted separately by two researchers. A meta-analysis was conducted based on a random-effects model to provide pooled odds ratios (OR) and 95% confidence intervals (CIs). Results Eight studies considered the relationship between fish intake (seven fresh and seven processed fish) and glioma risk and were included in this meta-analysis. The OR effect size for fresh fish intake and glioma risk was 0.72 (95%CI 0.53–0.97) and the overall OR effect size for processed fish intake and glioma risk was 1.88 (95%CI 1.06–3.34). Conclusion Dietary intake of fresh fish may reduce the risk of glioma, but consumption of processed fish may increase the risk of glioma. This study had some limitations, and further studies are therefore required to clarify the associations between fish intake and glioma risk.


2013 ◽  
Vol 12 (1) ◽  
pp. e82-e91 ◽  
Author(s):  
Gengxi Jiang ◽  
Bailing Li ◽  
Xiaohong Liao ◽  
Chongjun Zhong

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Hossein Rezaeizadeh ◽  
Zinat Mohammadpour ◽  
Sama Bitarafan ◽  
Mohammad Hossein Harirchian ◽  
Maryam Ghadimi ◽  
...  

2004 ◽  
Vol 93 (9) ◽  
pp. 1119-1123 ◽  
Author(s):  
Seamus Paul Whelton ◽  
Jiang He ◽  
Paul Kieran Whelton ◽  
Paul Muntner

2013 ◽  
Vol 23 (4) ◽  
pp. 215-222 ◽  
Author(s):  
Bin Xu ◽  
Jing Sun ◽  
Yunwei Sun ◽  
Liya Huang ◽  
Yuming Tang ◽  
...  

2018 ◽  
Vol 29 (4) ◽  
pp. 350-360 ◽  
Author(s):  
M. M. Papamichael ◽  
S. K. Shrestha ◽  
C. Itsiopoulos ◽  
B. Erbas

2020 ◽  
Vol 90 (5-6) ◽  
pp. 535-552 ◽  
Author(s):  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Vajdi

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.


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