Height Trends in the Chinese Population

Abstract

In recent years, China's economic development and improved living standards have contributed to the growth in the average height of its population. Studying height trends and their influencing factors is crucial for understanding health conditions and formulating policies. Through data analysis and model predictions, strategies can be proposed to improve nutrition, physical exercise, and healthcare.For Problem 1, the study analyzed growth trends and factors influencing the average height of the Chinese population. An exponential model showed good performance, revealing that height growth rate slows over time, with potential nearing saturation. Key factors like exercise duration, GDP per capita, and energy intake were significantly correlated with height. The findings provide a basis for height prediction and policy-making.For Problem 2, a height prediction and growth factor analysis model was established by transforming the nonlinear equation into a linear form. Combining multiple regression and time series analysis, the study explored key factors influencing height and future trends. The results showed that factors such as energy intake have a significant impact on height, with the model demonstrating high fitting accuracy and good predictive performance. This research provides theoretical support for analyzing height trends and formulating related policies.For Problem 3, strategies to promote healthy height development in the Chinese population were proposed based on key factors such as exercise, economic growth, sleep, protein intake, and energy intake. Measures include improving physical activity, optimizing diets, and enhancing sleep environments. Collaboration among governments, schools, families, and society is emphasized to implement these policies effectively.