A Meta-Analysis of Food Labeling Effects on Consumer Diet Behaviors and Industry Practices

被引:234
|
作者
Shangguan, Siyi [1 ,2 ,3 ]
Afshin, Ashkan [1 ,4 ]
Shulkin, Masha [1 ,5 ]
Ma, Wenjie [3 ,6 ,7 ]
Marsden, Daniel [1 ,8 ]
Smith, Jessica [1 ,9 ]
Saheb-Kashaf, Michael [1 ,10 ]
Shi, Peilin [1 ]
Micha, Renata [1 ]
Imamura, Fumiaki [11 ]
Mozaffarian, Dariush [1 ]
机构
[1] Tufts Univ, Friedman Sch Nutr Sci & Policy, 150 Harrison Ave, Boston, MA 02111 USA
[2] Massachusetts Gen Hosp, Dept Med, Boston, MA 02114 USA
[3] Harvard Med Sch, Boston, MA USA
[4] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[5] Univ Michigan, Med Sch, Ann Arbor, MI 48109 USA
[6] Massachusetts Gen Hosp, Clin & Translat Epidemiol Unit, Boston, MA 02114 USA
[7] Massachusetts Gen Hosp, Div Gastroenterol, Boston, MA 02114 USA
[8] George Washington Univ, Sch Med & Hlth Sci, Washington, DC 20052 USA
[9] Gen Mills Inc, Bell Inst Hlth & Nutr, Minneapolis, MN USA
[10] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
[11] Univ Cambridge, Sch Clin Med, MRC Epidemiol Unit, Cambridge, England
基金
英国医学研究理事会;
关键词
TRANS-FATTY-ACIDS; SUGAR-SWEETENED BEVERAGES; NEW-YORK-CITY; NUTRITION INFORMATION; HEALTHY CHOICES; ENVIRONMENTAL INTERVENTIONS; CALORIE INFORMATION; BLACK-ADOLESCENTS; SODIUM CONTENT; ENERGY-CONTENT;
D O I
10.1016/j.amepre.2018.09.024
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Context: The influence of food and beverage labeling (food labeling) on consumer behaviors, industry responses, and health outcomes is not well established. Evidence acquisition: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Ten databases were searched in 2014 for studies published after 1990 evaluating food labeling and consumer purchases/orders, intakes, metabolic risk factors, and industry responses. Data extractions were performed independently and in duplicate. Studies were pooled using inverse-variance random effects meta-analysis. Heterogeneity was explored with I-2, stratified analyses, and meta-regression; and publication bias was assessed with funnel plots, Begg's tests, and Egger's tests. Analyses were completed in 2017. Evidence synthesis: From 6,232 articles, a total of 60 studies were identified, including 2 million observations across 111 intervention arms in 11 countries. Food labeling decreased consumer intakes of energy by 6.6% (95% CI= -8.8%, -4.4%, n=31), total fat by 10.6% (95% CI= -17.7%, -3.5%, n=13), and other unhealthy dietary options by 13.0% (95% CI= -25.7%, -0.2%, n=16), while increasing vegetable consumption by 13.5% (95% CI=2.4%, 24.6%, n=5). Evaluating industry responses, labeling decreased product contents of sodium by 8.9% (95% CI= -17.3%, -0.6%, n=4) and artificial trans fat by 64.3% (95% CI= -91.1%, -37.5%, n=3). No significant heterogeneity was identified by label placement or type, duration, labeled product, region, population, voluntary or legislative approaches, combined intervention components, study design, or quality. Evidence for publication bias was not identified. Conclusions: From reviewing 60 intervention studies, food labeling reduces consumer dietary intake of selected nutrients and influences industry practices to reduce product contents of sodium and artificial trans fat. (C) 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:300 / 314
页数:15
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