Calorie Compensation Patterns Observed in App-Based Food Diaries

Self-regulation of food intake is necessary for maintaining a healthy body weight. One of the characteristics of self-regulation is calorie compensation. Calorie compensation refers to adjusting the current meal's energy content based on the energy content of the previous meal(s). Preload test studies measure a single instance of compensation in a controlled setting. The measurement of calorie compensation in free-living conditions has largely remained unexplored. This paper proposes a methodology that leverages extensive app-based observational food diary data to measure an individual's calorie compensation profile in free-living conditions. Instead of a single compensation index followed in preload-test studies, we present the compensation profile as a distribution of days a user exhibits under-compensation, overcompensation, non-compensation, and precise compensation. We applied our methodology to the public food diary data of 1622 MyFitnessPal users. We empirically established that four weeks of food diaries were sufficient to characterize a user's compensation profile accurately. We observed that meal compensation was more likely than day compensation. Dinner compensation had a higher likelihood than lunch compensation. Precise compensation was the least likely. Users were more likely to overcompensate for missing calories than for additional calories. The consequences of poor compensatory behavior were reflected in their adherence to their daily calorie goal. Our methodology could be applied to food diaries to discover behavioral phenotypes of poor compensatory behavior toward forming an early behavioral marker for weight gain.

Calorie Compensation and Self-Regulation of Food Intake in College Students

OBJECTIVE

To examine self-regulation of food intake among college students.

DESIGN

Randomized cross-over study completed between September and November, 2019.

SETTING

A large public university, Florida International University in South Florida.

PARTICIPANTS

A total of 60 undergraduate college students, mean age of 19.8 ± 1.43 years old, 62% female, 74% Hispanic, 76% White.

INTERVENTION(S)

Participants attended 2 trials 1 week apart. During each visit, students were offered a preload drink (either 0 or 210 kcal) followed by a buffet-style lunch. Food intake was estimated using weights and pictures of the plates before and after eating and was compared between the 2 sessions.

MAIN OUTCOME MEASURE(S)

Self-regulation by calculating compensation indices (COMPX) and their correlation with students' body mass index (BMI).

ANALYSIS

Intake differences were examined using Welch and t tests. Regression analysis was used to assess correlations.

RESULTS

Students exhibited the ability to calorie compensate when intake is manipulated with a mean COMPX of 95.57 ± 71.19. No score was perfect. There was a significant correlation between BMI and COMPX scores (F = 10.71, P < 0.001, r² = 0.292). Food choices differed between different BMI categories.

CONCLUSIONS AND IMPLICATIONS

Participants showed some degree of self-regulation, which suggests opportunities for creating effective interventions to improve health status and promote a more sustainable method to control consumption among college students.