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Elizabeth D. Mansfield, PhD, RD
RESEARCH The Impact of Menu Labeling on Calories Selected or Consumed: A Systematic Review and Meta-Analysis Susan E. Sinclair, MSc Marcia Cooper, PhD, RD Elizabeth D. Mansfield, PhD, RD Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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Inclusion Criteria Exclusion Criteria
RESEARCH Key criteria used to select studies for a systematic review and meta-analysis that measured the impact of menu labeling on calories selected or consumed Inclusion Criteria Exclusion Criteria A controlled experimental or quasi-experimental design was used A control or comparison group was not included (eg, before and after designs) The effect of nutrition information on menus was tested Outcomes measured included calories selected or consumed Participants’ nutrition literacy or awareness of nutrition information was measured rather than actual behavior Setting was Canada, or any other country with a similar nutrition labeling environment Consumers’ intentions were measured rather than their actual food selection or consumption behavior Participants were generally healthy adolescents or adults Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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Data extraction and synthesis
RESEARCH Key quality appraisal, data extraction, and data synthesis methods for a systematic review and meta-analysis that measured the impact of menu labeling on calories selected or consumed Quality appraisal The Scottish Intercollegiate Guidelines Network (SIGN) checklists for cohort studies and for controlled trials32 were used to assess the quality of the quasi-experimental and experimental studies, respectively. Sensitivity analysis was used to take into account the influence of studies judged to be of lower quality. Data extraction and synthesis Authors were contacted by to obtain any information needed for data extraction. To facilitate comparison between studies, proportional differences in calories consumed or selected were calculated. Subgroup analyses were planned to test the influence of: gender, age, socio-economic status, setting, cost of food, type of label. Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Table 3. Summary of characteristics and results of five quasi-experimental studies that measured the association between the introduction of menu labeling and average calories purchased per transaction Lead author, year Study location (test vs. comparison) Sample size (n) Calories purchased per transaction at the test location before vs. after mandatory menu labeling was introduced (Calories) Calories purchased per transaction at the comparison location at the same time points as the test location where mandatory menu labeling was introduced (Calories) Test difference vs. comparison difference in calories purchased per transaction (Calories) Elbel, United States (New York City vs. Newark) Males: 82 747 vs. 814 878 vs. 795 +67a vs. -83a Females: 102 712 vs. 716 560 vs. 730 +4 vs. +170 Finkelstein, United States (King County, Washington vs. adjacent counties) >11,000 1211 vs. 1217 1391 vs. 1392 +5.7 vs. +0.9 Tandon, United States (Seattle/King county, Washington vs. San Diego county) 128 823 vs. 720 895 vs. 789 -103a vs. -106a Bollinger, United States (New York City vs. Boston and Philadelphia) 118,480 247 vs a NRb vs. NRb -14.4 vs. NRb** Elbel, 1156 825 vs. 846 823 vs. 826 +21a vs. +3a a Value was imputed from other values provided in the study report (actual value was not reported). b To protect the confidentiality of the data, the authors did not provide these data in the study report. **The regression coefficient estimate of the effect of mandatory calorie posting was statistically significant (p<0.01) Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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Test cafeteria vs. control cafeteria
RESEARCH Table 4. Summary of characteristics and results of two quasi-experimental studies that measured the association between the introduction of menu labeling and the percent frequency with which targeted food items were purchased Lead author, year Comparison Sample size (n) Food items targeted with menu labeling Frequency with which targeted items were purchased in the test cafeteria before vs. after menu labeling was introduced (%) Frequency with which targeted items were purchased in the comparison cafeteria at the same time points as in the test cafeteria where menu labeling was introduced (%) Test difference vs. control difference in frequency with which targeted items were purchased (%) (p-value) Webb, Test cafeteria vs. control cafeteria 600 Entrees 68.6 vs. 68.6a 79.2 vs. 79.3a vs (p-value “not significant” – actual value not reported) Sides 78.4 vs. 83.2a 69.2 vs. 64.4a +4.8 vs. -4.8 (p=0.0007) Snacks 40.3 vs. 41.6a 27.8 vs. 19.7a +1.3 vs. -8.1 (p=0.006) Levin, 406 4.3 vs. 11.9 (p<0.001) 5.4 vs. 5.1 (p=0.78) +7.6a vs. -0.3a (p-value not reported) a Value was imputed from other values provided in the study report (actual value was not reported) Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Table 8, Part 1. Sensitivity and subgroup analysis results for the effect of menu labeling on calories selected Description of the sensitivity/subgroup analysis Number of studies included in the sensitivity or subgroup analysis Number of relevant menu labeling comparisons included in the studies Number of participants in the menu label (test) group and in the no menu label (control) group conditions Mean difference in calories between the menu label group and in no menu label group (Calories) (95% confidence interval (CI); p-value) Overall (all conditions) 7 18 test: 1267 control: 799 -42.54 (95% CI: , -3.19; p=0.03) Conditions from studies rated as higher quality 3 6 test: 541 control: 409 -63.89 (95% CI: , 39.09; p=0.22) Calorie content only menu label conditions 8 test: 776 control: 583 -30.84 (95% CI: , 34.18; p=0.35) Calorie content and contextual or interpretive information menu label conditions 4 test: 351 control: 148 -67.39 (95% CI: , ; p=0.008) Conditions from studies that took place in a natural setting 10 test: 580 control: 248 -52.57 (95% CI: , ; p=0.009) Conditions from studies where participants believed they needed to pay for their meal 5 14 test: 1027 control: 683 -34.59 (95% CI: , 3.94; p=0.08) Results reported for women separately 2 test: 128 control: 110 (95% CI: , ; p=0.002) Results reported for men separately 1 test: 50 control: 61 +92.22 (95% CI: , ; p=0.13) Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Table 8, Part 2. Sensitivity and subgroup analysis results for the effect of menu labeling on calories consumed Description of the sensitivity/subgroup analysis Number of studies included in the sensitivity or subgroup analysis Number of relevant menu labeling comparisons included in the studies Number of participants in the menu label (test) group and in the no menu label (control) group conditions Mean difference in calories between the menu label group and in no menu label group (Calories) (95% confidence interval (CI); p-value) Overall (all conditions) 5 22 test: 855 control: 544 (95% CI: , -3.46; p=0.03) Conditions from studies rated as higher quality 3 6 test: 541 control: 409 -45.18 (95% CI: , 38.86; p=0.29) Calorie content only menu label conditions 4 8 test: 545 control: 383 -12.73 (95% CI: , 36.82; p=0.61) Calorie content and contextual or interpretive information menu label conditions 10 test: 310 control: 161 -80.67 (95% CI: , ; p=0.007) Results reported for women separately test: 207 control: 97 -72.38 (95% CI: , ; p=0.01) Results reported for men separately 2 test: 147 control: 60 -21.82 (95% CI: , 89.37; p=0.70) Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Sinclair SE , Cooper M, Mansfield ED.
Figure 8. Forest plot showing pooled weighted mean difference with 95% confidence interval (CI) for 8 informative conditions or subgroups and 16 contextual or interpretive conditions or subgroups for which the calories consumed effect was estimated For each condition or subgroup, the shaded square represents the point estimate of the menu label effect. The horizontal lines join the lower and upper limits of the 95% CI of these effects. Arrows at the end of the line indicate that the CI extends beyond the scale shown at the bottom of the plot. The size of the shaded square reflects the relative weight of the study in the meta-analysis. The diamond at the bottom of each plot represents the pooled weighted mean difference with the 95% CI. aStandard deviation; binverse variance; cconfidence interval; dcalorie content menu label; erestrained eating participants subgroup; ffemale participant subgroup; gmale participant subgroup; hunrestrained eating participants subgroup; icalorie content and value pricing label; jcalorie content and recommended daily caloric intake for an average adult label; kcalorie content and exercise equivalent label; lNutrition Facts table label; mlean participants subgroup; noverweight or obese participant subgroup; otraffic light label. Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Sinclair SE , Cooper M, Mansfield ED.
Figure 9 Forest plot showing pooled weighted mean difference with 95% confidence interval (CI) for 8 informative conditions or subgroups and 10 contextual or interpretive conditions or subgroups for which the calories selected effect was estimated For each condition or subgroup, the shaded square represents the point estimate of the menu label effect. The horizontal lines join the lower and upper limits of the 95% CI of these effects. Arrows at the end of the line indicate that the CI extends beyond the scale shown at the bottom of the plot. The size of the shaded square reflects the relative weight of the study in the meta-analysis. The diamond at the bottom of each plot represents the pooled weighted mean difference with the 95% CI. aStandard deviation; binverse variance; cconfidence interval; dcalorie content menu label; efemale participant subgroup; fmale participant subgroup; gcalorie content and value pricing label; hcalorie content and traffic light symbol label; icalorie content and exercise equivalent label; jcalorie content and recommended daily caloric intake for an average adult label; klow-fat label on the beef item; llow-fat and preparation details label on the beef item; mlow-fat label on the haddock item; nlow-fat and preparation details label on the haddock item; olow-fat label on the pasta item; plow-fat and preparation details label on the pasta item. Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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RESEARCH Conclusions from a systematic review and meta-analysis that measured the impact of menu labeling on calories selected or consumed The findings of this meta-analysis support menu labeling approaches that include contextual or interpretive nutrition information along with calories to help consumers select and consume fewer calories when eating in restaurants and other foodservice establishments. The labeling of menus with calories alone does not have a significant impact upon consumers’ selection or consumption of calories. The best approach for menu-based nutrition information, particularly, for those consumers who may be limited in their food and health literacy skills, merits further exploration. Sinclair SE , Cooper M, Mansfield ED. J Acad Nutr Diet. 2014;114(9).
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