{"id":26358,"date":"2015-10-18T07:42:07","date_gmt":"2015-10-18T07:42:07","guid":{"rendered":"http:\/\/healthmedicinet.com\/news\/different-body-mass-index-grade-on-the-risk-of-developing-glioma-a-meta-analysis\/"},"modified":"2015-10-18T07:42:07","modified_gmt":"2015-10-18T07:42:07","slug":"different-body-mass-index-grade-on-the-risk-of-developing-glioma-a-meta-analysis","status":"publish","type":"post","link":"http:\/\/healthmedicinet.com\/news\/different-body-mass-index-grade-on-the-risk-of-developing-glioma-a-meta-analysis\/","title":{"rendered":"Different body mass index grade on the risk of developing glioma: a meta-analysis"},"content":{"rendered":"

The meta-analysis showed the relationship of glioma with underweight, overweight,
\n and obesity compared normal weight. Only three studies to date have analyzed the relationship
\n between the risk of glioma and underweight, and pooled HR of three studies show underweight
\n could decrease the risk of developing glioma 8], 11], 14]. Excess BMI (BMI???25\u00c2\u00a0kg.m
?2<\/sup>
\n ) was significantly associated with a danger of developing glioma. Many studies reported
\n the overweight and obesity were independent risk factors for poor outcome in patients
\n with glioma 8], 11]\u00e2\u20ac\u201c14]. At present, several potential theories have been built to explain how obesity can
\n influence the development of glioma. The most well-known mechanism is the insulin-like
\n growth factor (IGF) hypothesis of obesity-related cancer, which has been implicated
\n in glioma proliferation and progression in vitro 20]\u00e2\u20ac\u201c25]. A 22-case-control study showed a positive correlation between serum IGF-1 levels
\n and glioma risk 26]. IGF-1 inhibitor was found effectively to suppress growth of glioblastoma cell and
\n induced tumor regression in vitro 27]. There is a peak level of IGF during fetal brain development, and it decreases with
\n age. But it reappears in nervous tissue of glioma cells 28]. Insulin resistance and hyperinsulinemia are very common among excess body mass especially
\n obesity 29], which increase the level of free IGF. The free IGF can bind insulin-like growth
\n factor binding protein 1 (IGFBP-1) and insulin-like growth factor binding protein
\n 2 (IGFBP-2). Correspondence with a decrease of the binding protein, more and more
\n higher circulating concentrations of free or bioactive insulin-like growth factor
\n 1 (IGF-1), was detected 21], 30].\n <\/p>\n

Basing on our findings, we thought weight loss is beneficial which may reduce insulin
\n resistance in obese patients. In addition, nutrients and phytochemicals in fruit and
\n vegetables might decrease glioma risk 31], while socioeconomic level, daily alcohol intake, smoking status, number of full-term
\n pregnancies, age at first birth, and oral contraceptive use were not significantly
\n associated with the incidence of glioma 10]. Moore et al. found no link between weight gain between ages 18 and 50\u00c2\u00a0years and
\n glioma risk 12].\n <\/p>\n

As we know, this is the first meta-analysis illustrating the correlation of different
\n BMI grades on the risk of glioma. There are some advantages of this meta-analysis.
\n Firstly, meta-analysis can assess the consistency of result and find the origin of
\n heterogeneity. Secondly, meta-analysis can evaluate and summarize results from different
\n studies which can increase the statistical efficiency and accuracy. Thirdly, we could
\n do detailed subgroup analysis to identify risk factors relative to glioma.\n <\/p>\n

Several potential limitations of this meta-analysis should be noted. First, the number
\n of included studies was small which might let us underestimate the true association.
\n Second, as all included studies were observational, we cannot exclude all confounders
\n like age, region, and race. Third, because of our strict inclusive criteria, many
\n articles might exclude subject. Forth, the data were not stratified according to the
\n WHO grade of tumors. Finally, unpublished negative results were needed to be considered.\n <\/p>\n","protected":false},"excerpt":{"rendered":"

The meta-analysis showed the relationship of glioma with underweight, overweight, and obesity compared normal weight. Only three studies to date have analyzed the relationship between the risk of glioma and underweight, and pooled HR of three studies show underweight could decrease the risk of developing glioma 8], 11], 14]. Excess BMI (BMI???25\u00c2\u00a0kg.m?2 ) was significantly […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-26358","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/posts\/26358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/comments?post=26358"}],"version-history":[{"count":0,"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/posts\/26358\/revisions"}],"wp:attachment":[{"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/media?parent=26358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/categories?post=26358"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/healthmedicinet.com\/news\/wp-json\/wp\/v2\/tags?post=26358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}