You youth risk behaviour survey analyse the findings and discuss the possible reason for any observed changes since the 2018 survey your responses should should be given in tabular form as indicated below

To analyze the findings and discuss the possible reasons for any observed changes since the 2018 survey, you can follow these steps:

1. Obtain the datasets: Get access to the youth risk behavior survey data for both the 2018 and the current survey year.

2. Compare the data: Create a table that compares the key findings from the two survey years. This will help identify any observed changes.

Example table format:

| Risk Behaviour | 2018 Survey | Current Survey | Change |
|----------------|-------------|----------------|--------|
| Substance use | | | |
| Physical activity | | | |
| Mental health | | | |
| Sexual behavior | | | |
| Safety | | | |

3. Analyze the changes: For each risk behavior category, examine the differences between the 2018 and current survey data. Look for significant increases or decreases.

4. Identify possible reasons: Once you have identified any changes, consider potential reasons for those differences. Some possible explanations include:

- Shifting societal norms or cultural changes: Changes in attitudes and beliefs related to certain behaviors over time.
- Intervention programs or policies: The implementation of specific programs or policies that target certain risk behaviors.
- Media and technology influence: The impact of media exposure, social media, or technological advancements on behavior.
- Economic factors: Changes in economic conditions that may affect certain risk behaviors.
- Education and awareness efforts: Campaigns or educational initiatives that raise awareness about certain risk behaviors and their consequences.

5. Discuss the findings: Provide a detailed discussion of the observed changes, supported by data from the survey and your analysis. Explain each change and propose possible reasons based on the factors listed above or other relevant considerations.

Remember to use the actual data from the survey to support your findings and explanations.