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交互式技术辅助干预对促进健康食品选择的有效性:一项范围综述和荟萃分析。

Effectiveness of interactive technology-assisted interventions on promoting healthy food choices: a scoping review and meta-analysis.

作者信息

Chew Han Shi Jocelyn, Rajasegaran Nagadarshini Nicole, Chng Samuel

机构信息

Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore.

出版信息

Br J Nutr. 2023 Oct 14;130(7):1250-1259. doi: 10.1017/S0007114523000193. Epub 2023 Jan 25.

Abstract

Making healthy food choices is crucial for health promotion and disease prevention. While there are an increasing number of technology-assisted interventions to promote healthy food choices, the underlying mechanism by which consumption behaviours and weight status change remains unclear. Our scoping review and meta-analysis of seventeen studies represents 3988 individuals with mean ages ranging from 19·2 to 54·2 years and mean BMI ranging from 24·5 kg/m to 35·6 kg/m. Six main outcomes were identified namely weight, total calories, vegetables, fruits, healthy food, and fats and other food groups including sugar-sweetened beverages, saturated fats, snacks, wholegrains, Na, proteins, fibre, cholesterol, dairy products, carbohydrates, and takeout meals. Technology-assisted interventions were effective for weight loss (g = -0·29; 95 % CI -0·54, -0·04; I = 65·7 %, t = -2·83, = 0·03) but not for promoting healthy food choices. This highlights the complexity in creating effective interactive technology-assisted interventions and understanding its mechanisms of influence and change. We also identified that there needs to be greater application of theory to inform the development of technology-assisted interventions in this area as new and improved interventions are being developed.

摘要

做出健康的食物选择对于促进健康和预防疾病至关重要。虽然有越来越多的技术辅助干预措施来促进健康的食物选择,但消费行为和体重状况改变的潜在机制仍不清楚。我们对17项研究进行的范围综述和荟萃分析涉及3988名个体,平均年龄在19.2岁至54.2岁之间,平均体重指数在24.5kg/m至35.6kg/m之间。确定了六个主要结果,即体重、总热量、蔬菜、水果、健康食品以及脂肪和其他食物组,包括含糖饮料、饱和脂肪、零食、全谷物、钠、蛋白质、纤维、胆固醇、乳制品、碳水化合物和外卖餐。技术辅助干预对减肥有效(g=-0.29;95%置信区间-0.54,-0.04;I=65.7%,t=-2.83,P=0.03),但对促进健康的食物选择无效。这凸显了创建有效的交互式技术辅助干预措施及其影响和变化机制的复杂性。我们还发现,随着新的和改进的干预措施不断发展,需要更多地应用理论来指导该领域技术辅助干预措施的开发。

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