The 3 behaviors in the 3-4-50 model are tobacco use, poor diet, and physical inactivity. These behaviors can impact the 4 diseases in my community (San Diego County, California) in a number of ways.

• Tobacco use: Tobacco use can lead to a number of chronic diseases, including cancer, heart disease, stroke, and chronic obstructive pulmonary disease (COPD). In San Diego County, tobacco use is responsible for an estimated 4,500 deaths each year.
• Poor diet: Poor diet can lead to obesity, which is a risk factor for a number of chronic diseases, including heart disease, stroke, type 2 diabetes, and some types of cancer. In San Diego County, obesity is estimated to affect over 2 million people.
• Physical inactivity: Physical inactivity can lead to obesity, which is a risk factor for a number of chronic diseases, including heart disease, stroke, type 2 diabetes, and some types of cancer. In San Diego County, physical inactivity is estimated to affect over 2 million people.

Can you find the mortality of these 4 diseases in your community?

Yes, I can find the mortality of these 4 diseases in my community. According to the San Diego County Health and Human Services Agency, the following are the mortality rates for the 4 diseases in San Diego County in 2020:

• Heart disease: 12,800 deaths
• Cancer: 9,200 deaths
• Chronic lower respiratory diseases: 2,900 deaths
• Stroke: 2,600 deaths

If you can, what is the percentage of deaths caused by these 4 diseases for your community?

The 4 diseases listed above account for an estimated 50% of all deaths in San Diego County. This is consistent with the 3-4-50 model, which states that 3 unhealthy behaviors influence 4 chronic diseases, which leads to 50% of all deaths.

What are the underlying social determinants of health that impact the 3 behaviors in the 3-4-50 model?

The underlying social determinants of health that impact the 3 behaviors in the 3-4-50 model include:

• Income: People with lower incomes are more likely to smoke, have a poor diet, and be physically inactive. This is because they may have less access to healthy foods, safe places to exercise, and smoking cessation programs.
• Education: People with less education are also more likely to smoke, have a poor diet, and be physically inactive. This is because they may not have the knowledge or skills to make healthy choices.
• Race and ethnicity: People of color are more likely to smoke, have a poor diet, and be physically inactive. This is due to a number of factors, including discrimination, lack of access to healthy foods, and cultural norms.
• Geography: People who live in rural areas are more likely to smoke, have a poor diet, and be physically inactive. This is because they may have less access to healthy foods and safe places to exercise.

What are the health disparities observed from the data in your community (city or county)?

There are a number of health disparities observed from the data in my community (San Diego County). For example, African Americans have a higher mortality rate from heart disease than Whites. Latinos have a higher mortality rate from cancer than Whites. And, people with lower incomes have a higher mortality rate from all of the 4 diseases listed above than people with higher incomes.

Physical activity, or lack thereof, is 1 of the 3 behaviors that impacts the 4 diseases. What is the walkability index for your neighborhood (area)?

The walkability index for my neighborhood (North Park, San Diego) is 75. This means that it is relatively easy to walk around my neighborhood. There are a number of sidewalks and crosswalks, and the streets are not too busy. This makes it easy for me to get around without having to drive.

Conclusion

The 3-4-50 model is a helpful tool for understanding the relationship between unhealthy behaviors, chronic diseases, and mortality. The model can be used to identify the underlying social determinants of health that impact these behaviors, and to target interventions to reduce the burden of chronic diseases in communities.

In my community, there are a number of health disparities that need to be addressed. These disparities are due to a number of factors, including income, education, race and ethnicity