What types of data would you want to collect on your participants in order to learn the effectiveness of your program?

A program designed to reduce childhood obesity must have data about changes in nutrition and dietary habits. Childhood obesity is linked to an increase in the consumption of high-fat, low-calorie, and sugary foods. Kim and Lim (2018) found that children are more likely to be obese if they consume drink, meats, pastas, pizzas, and other fried food. Programs that are successful report decreased unhealthy food choices and increased healthy food intake. Data will be collected through surveys, questionnaires and interviews with parents and school staff. Kim (2019), believes that children and their parents can be taught healthy eating habits to prevent childhood obesity. Participant responses to a questionnaire asking if their habits have changed from eating junk food to more healthy choices like fruit and vegetables could indicate that they are making a shift in their lifestyle.
Smartphones and other wearable technology will allow for the collection and management of information. Timmins et al. (2018) assert that modern technology has made it possible to add various sensors to cellphones, making data easy and simple. The participants will also be equipped with vitals-recording and heart rate monitoring wristwatches. Participants will be asked to eat a healthier diet and data will be compared with those who ate junk food. Data collection will take place in a secure environment. Parental permission is required before the data can be collected. Research purposes only. Therefore, parental permission is required to access the information. A discussion will take place to address the legality and accessibility of data. Participants should also know their rights in relation to sharing data with third parties.

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