PDF(Pubmed)
Abstract：
The rising obesity epidemic requires effective and sustainable weight loss intervention strategies that take into account both of individual preferences and environmental impact. This study aims to develop and evaluate the effectiveness of an innovative digital biohacking approach for dietary modifications in promoting sustainable weight loss and reducing carbon footprint impact. A pilot study was conducted involving four participants who monitored their weight, diet, and activities over the course of a year. Data on food consumption, carbon footprint impact, calorie intake, macronutrient composition, weight, and energy expenditure were collected. A digital replica of the metabolism based on nutritional information, the Personalized Metabolic Avatar (PMA), was used to simulate weight changes, plan, and execute the digital biohacking approach to dietary interventions. The dietary modifications suggested by the digital biohacking approach resulted in an average daily calorie reduction of 236.78 kcal (14.24%) and a 15.12% reduction in carbon footprint impact (-736.48 gCO2eq) per participant. Digital biohacking simulations using PMA showed significant differences in weight change compared to actual recorded data, indicating effective weight reduction with the digital biohacking diet. Additionally, linear regression analysis on real data revealed a significant correlation between adherence to the suggested diet and weight loss. In conclusion, the digital biohacking recommendations provide a personalized and sustainable approach to weight loss, simultaneously reducing calorie intake and minimizing the carbon footprint impact. This approach shows promise in combating obesity while considering both individual preferences and environmental sustainability.
摘要：
不断上升的肥胖流行需要有效和可持续的减肥干预策略，同时考虑个人偏好和环境影响。这项研究旨在开发和评估一种创新的数字生物黑客方法在促进可持续减肥和减少碳足迹影响方面的效果。进行了一项试点研究，涉及四名监测体重的参与者，饮食，和一年的活动。食品消费数据，碳足迹影响，卡路里摄入量，大量营养素组成，体重,并收集了能量消耗。基于营养信息的新陈代谢的数字复制品，个性化代谢头像（PMA），用来模拟体重变化，plan,并执行数字生物黑客方法来进行饮食干预。数字生物黑客方法建议的饮食调整导致每位参与者的平均每日卡路里减少236.78kcal（14.24％），碳足迹影响减少15.12％（-736.48gCO2eq）。使用PMA的数字生物黑客模拟显示，与实际记录的数据相比，体重变化存在显着差异。表明数字生物黑客饮食有效减轻体重。此外,对真实数据的线性回归分析显示，坚持建议饮食与体重减轻之间存在显着相关性。总之,数字生物黑客建议提供了一种个性化和可持续的减肥方法，同时减少卡路里摄入量并最大程度地减少碳足迹影响。这种方法在考虑个人偏好和环境可持续性的同时，在对抗肥胖方面显示出希望。
