Hi,
Does anyone have Stata code/do file for IPAQ-Short form physical activity categorisation? Thanks.
Deepani
Deepani Siriwardhana Creating Stata code or a do file to categorize data from the International Physical Activity Questionnaire (IPAQ) Short Form can be done by following these general steps:
1. Data Preparation: Ensure that you have the dataset containing the responses from the IPAQ Short Form. The variables of interest typically include the duration and frequency of different types of physical activities.
2. Variable Creation: Create new variables or modify existing ones to represent the categories you want to create. IPAQ typically categorizes physical activity into three categories: low, moderate, and high.
3. Coding the Categories: Use Stata's conditional statements (e.g., `if` and `egen`) to assign observations to the appropriate categories based on their responses to the questionnaire. You'll need to define criteria for each category based on the duration and frequency of activities.
4. Example Code: Here's a simplified example of Stata code that categorizes physical activity into low, moderate, and high based on weekly minutes of moderate and vigorous activity:
```stata
* Assuming your dataset contains variables named 'moderate_minutes' and 'vigorous_minutes'
* Create a new variable to represent total weekly physical activity minutes
gen total_minutes = moderate_minutes + vigorous_minutes
* Categorize into low, moderate, and high based on weekly minutes
gen activity_category = "Low" if total_minutes < 150
replace activity_category = "Moderate" if total_minutes >= 150 & total_minutes < 300
replace activity_category = "High" if total_minutes >= 300
```
5. Data Validation: After categorizing the data, it's essential to validate the results to ensure they align with your intended categories and research objectives.
6. Documentation:Document your Stata code or create a do file that includes comments explaining each step and the criteria used for categorization. This documentation is crucial for transparency and reproducibility.
Remember to adapt the code to match the specific variables and criteria used in your IPAQ Short Form questionnaire and your research objectives. Additionally, consider consulting relevant guidelines or publications related to IPAQ for guidance on categorization criteria.
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