The influence of nutrition in nodular thyroid pathology: a systematic review

医学 环境卫生 微量营养素 观察研究 入射(几何) 食品科学 病理 生物 光学 物理 渔业
作者
Vanessa Neto,Catarina Leitão,Marta Estrela,Margarida Fardilha,María Teresa Herdeiro,Alexandra Nunes
出处
期刊:Critical Reviews in Food Science and Nutrition [Informa]
卷期号:: 1-17
标识
DOI:10.1080/10408398.2024.2393201
摘要

Nodular thyroid pathologies (NThyPs) are prevalent thyroid diseases, with a steadily increasing global incidence. Although their exact causes remain uncertain, various modifying factors, such as nutrition, influence their development. We aimed to systematically identify and synthesize the influence of dietary exposures on NThyPs risk. PubMed, Scopus, Web of Science, and EMBASE were searched on June 14, 2024, to identify relevant studies. Data extraction included study characteristics, sociodemographic factors, dietary intake assessments and exposures, and NThyPs subtypes. Out of 14,730 articles retrieved, 55 observational or experimental studies, in English, Spanish, or Portuguese, that assessed nutrition's impact on NThyPs were included, excluding non-human studies, reviews, meta-analyses, and publications outside the study's scope. Forty studies investigated how distinct dietary patterns, macronutrients, minerals, and vitamins contributed to or mitigated NThyPs development. Fish and seafood, vegetables and fruits, and meat were other dietary exposures investigated. In fourteen of previously selected studies, drink consumption was also addressed. This systematic review (CRD420234003439) suggests that reducing processed foods, sugars, meat, and dietary iodine lowers NThyPs risk, while coffee, tea, alcohol, and dairy products demonstrates potential protective roles. Fish and seafood, and fruits and vegetables also exhibit protective properties; nevertheless, further research is necessary to establish definitive conclusions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LeeY.完成签到,获得积分10
3秒前
5秒前
5秒前
6秒前
7秒前
7秒前
枫崝完成签到,获得积分10
9秒前
汉堡包应助累累的采纳,获得10
10秒前
10秒前
轩辕忆枫完成签到,获得积分10
11秒前
昀松关注了科研通微信公众号
12秒前
他也蓝发布了新的文献求助10
12秒前
12秒前
卷心菜宝发布了新的文献求助10
12秒前
hu完成签到 ,获得积分10
13秒前
glq发布了新的文献求助10
14秒前
rundstedt完成签到,获得积分10
16秒前
找回自己发布了新的文献求助10
17秒前
大方乘云完成签到 ,获得积分10
18秒前
科研通AI2S应助聪明紫山采纳,获得10
18秒前
19秒前
彭于晏应助EMI采纳,获得10
19秒前
大风完成签到,获得积分10
20秒前
李健的小迷弟应助哒哒采纳,获得10
21秒前
21秒前
FrozNineTivus完成签到,获得积分10
21秒前
NexusExplorer应助科研通管家采纳,获得10
22秒前
Owen应助科研通管家采纳,获得10
22秒前
英姑应助科研通管家采纳,获得10
23秒前
科研通AI2S应助科研通管家采纳,获得30
23秒前
23秒前
ding应助科研通管家采纳,获得30
23秒前
23秒前
桐桐应助科研通管家采纳,获得10
23秒前
在水一方应助科研通管家采纳,获得20
23秒前
ding应助科研通管家采纳,获得10
23秒前
卷心菜宝完成签到,获得积分10
24秒前
FrozNineTivus发布了新的文献求助10
25秒前
1762120发布了新的文献求助10
25秒前
Hello应助十一采纳,获得10
26秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3125633
求助须知:如何正确求助?哪些是违规求助? 2775924
关于积分的说明 7728426
捐赠科研通 2431401
什么是DOI,文献DOI怎么找? 1291999
科研通“疑难数据库(出版商)”最低求助积分说明 622301
版权声明 600376