2023 Shenzhen Cup Mathematical Modeling
Analysis of Factors Affecting the Health of Urban Residents in Question A
Reproduction of the original title:
Chronic non-communicable diseases (hereinafter referred to as chronic diseases) represented by cardiovascular and cerebrovascular diseases, diabetes, malignant tumors and chronic obstructive pulmonary disease have become important issues affecting the health of Chinese residents. As people's lifestyles change, the prevalence of chronic diseases continues to rise. As we all know, health status is closely related to age, eating habits, physical activity, occupation and so on. How to achieve the purpose of promoting good health by reasonably arranging meals, moderate physical exercise, and practicing a healthy lifestyle is a common concern of the whole society. Attachment A1 is a survey questionnaire on "Chronic Non-communicable Diseases and Their Related Influencing Factors Epidemiology" conducted by a city's health research department for some residents. Attachment A2 is the corresponding survey data results. The eight guidelines proposed for a balanced resident diet in the revised Dietary Guidelines for Chinese Residents.
Ask your team to study and solve the following questions:
Question 1 Refer to Appendix A3, analyze the rationality of the residents’ eating habits in Appendix A2, and explain the main problems that exist.
Question 2: Analyze whether the living habits and eating habits of residents are related to factors such as age, gender, marital status, education level, and occupation.
Question 3 Based on the data in Appendix A2, deeply analyze the relationship and degree of common chronic diseases (such as hypertension, diabetes, etc.) with smoking, drinking, eating habits, living habits, nature of work, exercise and other factors.
Question 4 According to the specific conditions of the residents in Appendix A2, reasonably classify the residents, and put forward reasonable suggestions on healthy diet and exercise for various groups of people.
Question one
According to the dietary eight principles of healthy eating habits of residents in Appendix A3 given in the question, transform the qualitative description into quantitative analysis, give a reasonable health evaluation model, and obtain the data that does not meet the established reasonable health evaluation model in the question through calculation. Then give the problem of unhealthy habits from multiple angles. (For this multi-angle, please consider in detail according to Appendix 3), the following is Appendix 3 given in the title.
question two
The second question in the question is the analysis of the main factors affecting living habits and eating habits. There is nothing to say about this. I have been asking back and forth since 8 years ago, and I am really speechless.
question three
Question 3 has to be combined with Appendix 1 to analyze the causes of chronic diseases and how they interact with daily living and eating habits. I'm speechless again to the question maker, can't you change the trick?
question four
Question 4 is a little bit like supervised learning. The author deliberately set up the data in this way. Since the amount of data in the original data attachment is not large, but the data feature dimension is large, readers cannot fully understand all the features when analyzing the data. All variables have been analyzed, which is exactly what the author asked you to do. Some variables have little influence on the weight, and there are many null values, which account for a large proportion, and cannot be filled by interpolation or mean, numerous or other methods. If you have to These variables are also considered separately for analysis, which not only increases the workload, but also fails to draw effective laws. The data that account for too little is random and accidental. The single conclusion drawn is not only not supported by rigorous data, but also cannot The marking teacher was convinced. Therefore, it is the first priority to analyze variables with relatively complete data volume and eliminate unnecessary variables.
Secondly, what you want to analyze is the health of residents, so should you look at which indicators affect the health status of residents? Don’t rush to write, look at the F-health status, this is the predicted category and the criterion for judging, but F-health status is a multi-dimensional indicator, you have to map multiple dimensions to one dimension, (note Easy to use words, it is mapping not feature extraction) Looking back, from 1 living habits B-smoking situation, C-drinking situation, 2 eating habits D-diet situation, 3 basic personal conditions, three aspects are considered for comprehensive analysis, and the use is relatively high The latest algorithm and classify the calculated results according to the numerical limits you think are reasonable, and give good suggestions from living habits and eating habits.
code:
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#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美
#你不仅长得帅，想的还挺美#你不仅长得帅，想的还挺美