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In order to explore the differences in mental health of morning exercises groups, this study used random sampling method, sampling 20 morning point and make a survey of morning exercises. Through big data analysis, we study the influence of individual differences on mental health status. Individual differences were mainly measured by 8 indicators, such as gender, race, age, education level, work status, personal income, occupation type, family type. The results showed that morning exercises groups has different degrees in each factor and the total index. Among them, female, under 30 years old, primary school education, laid off, students, low income, the couple's family type of mental health status in each index group is poor. Therefore, the government and other relevant departments should pay full attention to the morning exercises groups physical exercise and mental problems, especially for poorer mental health group

The influence of Morning Exercises Individual Differences on Mental Health Based on the Network Big Data