THREAD 01 OF 13 · Inputs & Metabolism
Diet, Nutrition & Food Health
饮食、营养与食品健康
Tracks how food composition, processing, portions, dietary patterns, and food context shape everyday health evidence.
持续追踪食物组成、加工程度、份量、饮食模式与进食语境相关的健康证据。
Research brief · 研究简报
Field 01 · DietUltra-processed food risk is a signal, not a personal verdict.
综述可以描述人群层面的广泛模式，而个人记录仍需要结合食物与作息语境。
What was observed
The review found that higher exposure to ultra-processed foods was associated with a wide set of adverse outcomes across the literature. That makes food processing a meaningful signal for population-level research and for careful self-observation.
该综述发现，较高的超加工食品暴露与文献中多类不良结局相关。这使食品加工程度成为人群研究和谨慎自我观察中的一个有意义信号。
What it does not prove
It does not prove that one packaged meal caused a specific biological change in one person. Diet studies remain vulnerable to confounding, measurement error, recall bias, and differences between food cultures.
它不能证明一份包装食品导致了某个人的特定生物学变化。饮食研究仍可能受到混杂、测量误差、回忆偏差以及饮食文化差异的影响。
Track for 7 days
Keep repeated food context beside the meal itself.
把连续的饮食语境放在单餐记录旁边。
- Meal processing tier餐食加工程度
- Meal timing and snack frequency进食时间与零食频率
- Sleep, movement, stress, and alcohol context睡眠、活动、压力与饮酒语境
- Seven-day repeated pattern七天重复模式
Field scope · 领域范围
What this field watches.
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01
Dietary patterns and food processing饮食模式与食品加工
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02
Protein, fibre, fats, and micronutrients蛋白质、膳食纤维、脂肪与微量营养素
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03
Food environments and sustainable adherence食品环境与可持续执行
Website ↔ App
Start with a seven-day observation.
从一次七日观察开始。
This field can connect directly to repeated daily entries in Entropy, then return a personal pattern without replacing the public evidence behind it.
这个领域可以直接连接 Entropy 的连续日常记录，再生成个人模式，同时保留背后的公开证据。
Start 7-Day View