You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

Objectives: Cross-sectional reports on weight gain during the COVID-19 shelter-at-home have raised concerns for weight increases as the pandemic continues. We examined behaviors that impact energy intake and/or energy expenditure among adults in the United States during shelter-at-home. Methods: Cross-sectional data (N=1779; April 24 - May4, 2020) were collected on demographics, diet, physical activity, sleep, and food purchasing behaviors. Percent of participants reporting increase/ decrease/no change in these behaviors during the COVID-19 shelter-at-home were assessed. Each analysis was followed by comparing whether increases or decreases were more likely for each health behavior, in all participants and across sex (43.38% males). Results: Increased consumption of healthy foods, energy-dense unhealthy foods, and snacks, and increased sedentary activities (p < .001) was reported. Physical activity and alcohol intake declined (p < .001). Females were more likely than males (p < .001) to report ultra-processed foods/high-calorie snack intake, fruit/vegetable intake (p < .001) and increase (p < .01) sleep and sedentary behavior. Conclusion: Acute behavioral changes supporting greater energy intake and less energy expenditure, especially in females, underscore the significance of COVID-19-related increase in unstructured time. Longitudinal assessment of body weight and health behaviors is warranted to understand the impact of pandemic.
["Prevention"]