EAT-Lancetダイエットとがんのリスクとの関連:体系的なレビューとメタ解析

Gehui Feng¹, Qiqing Zhang², Yifei Wang¹

¹Department of International and Humanistic Nursing, Hunan Science Popularization Education Base, School of Nursing, Hengyang Medical School, University of South China, Hengyang 421001, China.

Nutrition reviews

|August 31, 2025

まとめ

EAT-Lancetの惑星健康ダイエットに従うことは癌の発生率と死亡率の低下と関連していますこの食事パターンからがん患者の健康上の利点が明らかになりさらに研究を進める必要があります

科学分野:

栄養学
腫瘍学
環境健康

背景:

EAT-Lancetダイエットは人間と地球の健康を促進します
EAT-Lancetダイエットが癌患者に与える影響に関する研究は限られている.
この研究は,がんの発生における栄養の役割に関する理解のギャップを解決します.

研究の目的:

EAT-Lancetダイエットと癌のリスクとの関連を予測的に評価する.
癌の発生率と死亡率への影響を分析する.

主な方法:

8つのコホート研究 (1,103,953人の参加者) の体系的なレビューとメタ解析.
PubMed,MEDLINE,Embase,Cochrane,EBSCOで文献を検索する
PRISMA 2020のガイドラインに従ってデータ抽出と分析を行いました.

主要な成果:

EAT-Lancetダイエットに従うと,がんの発生率が著しく低下しました (HR=0. 78).
順守は癌による死亡率の低下とも関連していた (HR=0. 93).
統計的有意性はP値 < 0. 01で確認された.

結論:

EAT-Lancetダイエットは,がんの発生率と死亡率を減らす可能性を示しています.
この発見は,がん患者のためのこの食事パターンの臨床的重要性を強調しています.
研究が限られているため,さらなる研究が必要である.

キーワード:

EAT-ランセットダイエット癌について癌の発生率癌による死亡率栄養について惑星の健康持続可能な食生活

さらに関連する動画

03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

528

03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.2K

関連する概念動画

02:59

Cancer Prevention

6.3K

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...

6.3K

01:19

Psychoneuroimmunology: Diabetes and Cancer

Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...

01:20

Lifestyle Factors and Health

125

Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...

125

01:21

Cancer Survival Analysis

448

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

448

03:03

mTOR Signaling and Cancer Progression

3.9K

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...

3.9K

01:25

Statistical Methods for Analyzing Epidemiological Data

530

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

530

関連する実験動画