Predicting sugar consumption: Application of an integrated dual-process, dual-phase model

Area of Science:

• Behavioral Science
• Nutritional Science
• Psychology

Background:

• Excessive intake of added dietary sugars contributes to metabolic dysfunction and poor health.
• Understanding predictive factors for sugar consumption is vital for developing effective behavioral interventions.

Purpose of the Study:

• To test an integrated dual-process, dual-phase model predicting dietary sugar consumption.
• To identify modifiable social, cognitive, and motivational predictors of sugar intake.

Main Methods:

• Prospective study with 90 university students measuring reflective, impulsive, volitional, and behavioral constructs.
• Structural equation modeling was used to analyze the relationships between model components and self-reported sugar consumption.
• Sugar consumption was measured via self-report two weeks after initial assessments.

Main Results:

• Intentions, implicit attitudes, and autonomous motivation indirectly predicted sugar consumption.
• Attitudes, subjective norm, and autonomous motivation indirectly predicted intentions.
• Planning constructs did not significantly affect sugar consumption; model effects were independent of past consumption.

Conclusions:

• Both reflective (intentions) and impulsive (implicit attitudes) factors significantly influence dietary sugar consumption.
• Interventions should address both conscious decision-making and subconscious responses to environmental cues.
• Managing cues-to-action and behavioral monitoring are recommended for regulating sugar intake effectively.