Analysing Factors Influencing Human Lifespan Based on Health and Lifestyle Metrics

Abstract

As the global population ages, understanding the factors that influence human lifespan has become increasingly important. This study investigates how health indicators and lifestyle habits impact age. Health data such as blood pressure, cholesterol, BMI, and other lifestyle habits were analyzed. The primary target is to identify which of these key factors most strongly influence human lifespan. Thus, people can better predict their lifespan and give suggestions to avoid some mortality risks. This study takes advantage of both Logistic Regression (LR) and Linear Regression (LinR) analysis to examine the effects of health indicators and lifestyle habits on health over time. Results represent that factors such as blood pressure and bone density are confounders, which are not related to lifespan but impact the actual results of the research. Mental health, sun exposure, and education level are the key factors that significantly promote lifespan. Also, stress levels and pollution exposure are strongly related to the human lifespan as well. Some variables like alcohol consumption or income level are not strongly related to lifespan as public cognition. This paper emphasizes the importance of adopting specific healthy habits that can support longer and healthier lives.