Mauch Chelsea E, Fuchs Ashlee, Howlett Caitlin A, Hendrie Gilly A
Human Health, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), SAHMRI, Adelaide 5000, SA, Australia.
Nutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Bedford Park 5042, SA, Australia.
J Nutr Sci. 2025 Jul 16;14:e50. doi: 10.1017/jns.2025.10022. eCollection 2025.
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.
过度消费不健康的、可自由支配的食品和饮料会增加体重增加和患非传染性疾病的风险,包括糖尿病、心脏病和癌症。这项横断面研究探讨了设定目标以减少可自由支配食品和饮料消费的偏好。在线调查包括有关可自由支配食品和饮料摄入量、减少摄入量的目标设定偏好、习惯强度、人格特质和人口统计学特征的项目。共有2664名澳大利亚成年人完成了调查。样本中女性居多(65.9%),一半(52.8%)年龄在30至49岁之间,可自由支配食品和饮料的摄入量中位数为每天4.9份(四分位距:3.6至7.2份)。采用多项逻辑回归和有序逻辑回归模型来探讨长期和短期目标、消除和渐进目标、特定食品目标、特定饮食场合和食品目标、自我设定目标、共同设定目标和指定目标的帮助性的人口统计学和心理预测因素。结果显示,习惯强度较高的参与者更有可能认为短期目标(比值比1.40,95%置信区间1.06 - 1.86)、渐进目标(比值比1.14,95%置信区间1.01 - 1.29)、特定目标(比值比1.35,95%置信区间0.84 - 1.76)、指定目标(比值比1.38,95%置信区间1.14 - 1.66)和共同目标(比值比1.24,95%置信区间1.01 - 1.53)有帮助。结果还表明,年龄和性别是目标设定偏好的重要预测因素,特别是对于长期目标、消除目标、宽泛目标和共同目标。需要采取干预措施来减少可自由支配食品和饮料的摄入量,考虑目标设定偏好可能是制定更具针对性和有效性的饮食干预措施的一种新方法。