Analyzing the Effects of Caloric and Macronutrient Consumption on Productivity: A Quantified Self Approach to Assess Work Patterns and Habits

Abstract

In this study, I examine the impact of caloric and macronutrient intake on personal productivity metrics, encapsulated by MacOS application engagement, iPhone application engagement, and frequency of unproductive application switches, during the three-hour period after a meal. As the quest for improved personal productivity intensifies in our modern society, understanding the link between dietary choices and cognitive performance takes on increasing relevance. Over a 26-day period, I systematically accumulated data on my food intake and productivity using self-tracking nutrition and productivity applications, such as MyFitnessPal and Timing App, respectively. I utilized statistical models to uncover the subtle interrelationships between food consumption and productivity. I found that a balanced macronutrient intake, particularly moderate to high protein and lower simple carbohydrate meals, was linked to greater productivity, while high caloric intake appeared to correlate negatively with productivity. However, my macronutrient intake did not necessarily impact my productivity, as did my meal timing and time of day. The time of day and my routine had a substantial edge on my productivity. These results suggest that dietary choices as well as one’s own time-based routine can significantly affect personal productivity, paving the way for further investigation into optimized nutrition and influencing broader dietary and productivity strategies in various professional and personal settings.