Understanding Australian adults’ preferences for setting goals to reduce unhealthy food and beverage intake: a cross-sectional study

TL;DR

This study explores how Australian adults prefer to set goals to reduce unhealthy food and drink consumption, finding that habits, age, and gender influence their preferences.

Contribution

The study introduces a novel approach to dietary interventions by considering individual preferences for goal setting.

Findings

Participants with stronger habits found short-term, gradual, and collaborative goals more helpful.

Age and gender significantly influenced preferences for long-term and elimination goals.

Tailoring interventions based on goal-setting preferences could improve dietary outcomes.

Abstract

Overconsumption of unhealthy, discretionary, foods and beverages are associated with an increased risk of weight gain and non-communicable diseases, including diabetes, heart disease, and cancer. This cross-sectional study explored preferences for setting goals to reduce discretionary food and beverage consumption. The online survey included items about discretionary food and beverage intake, goal setting preferences to reduce intake, habit strength, personality traits, and demographic characteristics. A total of 2664 Australian adults completed the survey. The sample was mostly female (65.9%), half (52.8%) were aged between 30–49 years, and the median intake of discretionary food and beverages was 4.9 (IQR: 3.6 to 7.2) serves per day. Multinomial logistic regression and ordinal logistic regression models were used to explore demographic and psychological predictors of the helpfulness of long-term and short-term goals, elimination and gradual goals, specific food goals, specific eating occasion and food goals, self-set goals, collaboratively set goals, and assigned goals. The results showed participants with higher habit strength had greater odds of finding short-term (OR 1.40, 95% CI 1.06–1.86), gradual (OR 1.14, 95% CI 1.01–1.29), specific (OR 1.35, 95% CI 0.84–1.76), assigned (OR 1.38, 95% CI 1.14–1.66) and collaborative goals (OR 1.24, 95% CI 1.01–1.53) helpful. The results also indicated that age and gender were important predictors of goal setting preferences, particularly for long-term goals, elimination goals, broad goals, and collaborative goals. Interventions to reduce discretionary food and beverage intake are needed and consideration of goal setting preferences could be a novel way to developing more tailored and effective dietary interventions.

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