HLTH 4300 Week 2 Self-Report Critique Example

What Janelle's Lifestyle Inventory Could Support: Her "Moderate Activity on Most Days" Set Against Her Phone's Step History for the Same Week, and the Wording That Invited a Generous Answer

Student Name

Walden University

HLTH 4300: Personal Health and Wellness

Instructor Name

Month Day, Year

What Janelle's Lifestyle Inventory Could Support: Her "Moderate Activity on Most Days" Set Against Her Phone's Step History for the Same Week, and the Wording That Invited a Generous Answer

The Two Records

During the first week of the course, Janelle completed a lifestyle inventory provided by her employer's wellness program. One item read: "In a typical week, on how many days do you do at least 30 minutes of moderate physical activity, such as brisk walking, gardening or housework?" She answered "5 days." A second item asked her to rate her overall activity as low, moderate or high; she chose moderate.

For the same week, September 7 to 13, her phone's health app recorded steps: about 4,000 a day on her four ten-hour workdays and 5,300 to 7,900 on her days off, a mean of about 5,100. Her own notes recorded 65 minutes of moderate activity in bouts of 10 minutes or more, all on days off. The two records disagree. This critique asks which of her inventory answers the record can support, where the wording invited a generous answer and what the second record adds.

Which Answers the Record Supports

The items about work hours and commute were supported, which suggests that Janelle was answering carefully. The activity items were not. Only one day had 30 or more minutes of moderate activity, not five, and her overall level was low on workdays and moderate only on days off.

Table 1

Inventory Answers Compared With the Phone and Notes, September 7-13

The inventory's factual items matched other records; its activity items did not.

Where the Wording Invited a Generous Answer

Three features of the inventory's wording made a generous answer likely without any intent to mislead.

First, "a typical week" asks respondents to average across their memory of many weeks, which tends to favor active weeks that are easier to recall. Janelle remembered summer weekends with long walks and may have treated those as typical.

Second, the examples, "brisk walking, gardening or housework," set a low bar. Housework counts as moderate activity only when it raises breathing and heart rate. Janelle counted evenings of cooking and laundry, which her notes do not describe as effortful.

Third, "at least 30 minutes" does not say whether the minutes must be continuous. Janelle may have added short stretches across a day, such as walking from the parking lot and between desks, into a total that felt like 30 minutes.

These problems are not specific to this inventory. A systematic review of studies comparing self-reported and directly measured physical activity in adults found that correlations between the two were generally low to moderate and that no consistent pattern of over- or underreporting held across studies (Prince et al., 2008). The direction and size of disagreement depend on the questionnaire, the population and the measure used for comparison.

National data show the same gap at a larger scale. When U.S. physical activity was measured by accelerometer in the 2003-2004 National Health and Nutrition Examination Survey, fewer than 5% of adults met the then-current recommendation of 30 minutes a day, far fewer than self-reported surveys had suggested (Troiano et al., 2008).

What the Second Record Adds

The phone's step history adds three things the inventory cannot.

It is dated. The inventory describes a remembered typical week; the phone describes the actual week of September 7 to 13. Dated records make it possible to see the difference between workdays and days off, which the inventory's single number hid.

It is continuous. The phone records every day, including days Janelle would not have thought of as active or inactive.

It does not depend on judgment of effort. Steps are counted, not rated.

The phone record has its own limits. It misses movement when the phone is on a desk or in a drawer, which happens at Janelle's dispatch board. It cannot tell a brisk walk from a slow one without additional analysis of cadence. And phone step counts are estimates; in a laboratory test of walking on a treadmill, step counts from smartphone apps were close to observed counts, but some wearable devices differed more (Case et al., 2015). The phone is a better record of the week than the inventory, but not a perfect one.

A Better Question

If the inventory were rewritten for people like Janelle, three changes would help. It could ask about a specific recent week rather than a typical one, which reduces the pull toward remembered active weeks. It could define moderate activity by its effect, breathing harder than usual but still able to talk, rather than by examples that include ordinary chores. And it could ask separately about workdays and days off, since many adults' activity differs sharply between them. None of these changes would make self-report as precise as a device, but each would narrow the gap between answer and behavior.

What This Means for Janelle's Plan

The critique matters for what comes next. If Janelle planned from her inventory answer, she would believe she was already active five days a week and needed only small additions. Planning from the phone record, she sees that her workdays contain almost no activity and that the gap is concentrated there. Her goals and tracking in later weeks will use dated records rather than recall, with the phone's step history as one source and her own notebook as another, so that each can check the other.

Conclusion

Janelle's inventory supported her factual answers about work and commuting but not her activity answers. The wording, "a typical week," broad examples and unspecified continuity, invited a generous reply without dishonesty. Her phone's step history for the same week showed one day with 30 minutes of moderate activity, not five. A second, dated record does not replace self-report, but it shows where self-report and behavior part ways, and for Janelle they part most on workdays.

References

Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015). Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA, 313(6), 625-626. https://doi.org/10.1001/jama.2014.17841

Prince, S. A., Adamo, K. B., Hamel, M., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008). A comparison of direct versus self-report measures for assessing physical activity in adults: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 5, Article 56. https://doi.org/10.1186/1479-5868-5-56

Troiano, R. P., Berrigan, D., Dodd, K. W., Mâsse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine & Science in Sports & Exercise, 40(1), 181-188. https://doi.org/10.1249/mss.0b013e31815a51b3