IMPACT OF THE NEW ZEALAND HEALTH STAR RATING SYSTEM: RCT RESULTS AND EVALUATION OF ROLL-OUT

Background: Interpretive, front-of-pack (FOP) nutrition labels may encourage healthier food choices by consumers and healthier reformulation of foods by industry. Objective: We aimed to evaluate the effects of the Health Star Rating (HSR), a voluntary interpretive FOP labelling system on (1) consume...

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Veröffentlicht in:Annals of nutrition and metabolism 2017-10, Vol.71 (Suppl. 2), p.101
Hauptverfasser: Mhurchu, Cliona Ni, Eyles, Helen, Volkova, Ekaterina, Jiang, Yannan, Neal, Bruce, Blakely, Tony, Swinburn, Boyd, Rayner, Michael, Choi, Yeun-Hyang
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container_end_page
container_issue Suppl. 2
container_start_page 101
container_title Annals of nutrition and metabolism
container_volume 71
creator Mhurchu, Cliona Ni
Eyles, Helen
Volkova, Ekaterina
Jiang, Yannan
Neal, Bruce
Blakely, Tony
Swinburn, Boyd
Rayner, Michael
Choi, Yeun-Hyang
description Background: Interpretive, front-of-pack (FOP) nutrition labels may encourage healthier food choices by consumers and healthier reformulation of foods by industry. Objective: We aimed to evaluate the effects of the Health Star Rating (HSR), a voluntary interpretive FOP labelling system on (1) consumer food choices, and (2) industry food reformulation. Design: Study 1. In a parallel-group randomized controlled trial, we enrolled household shoppers across New Zealand who owned smartphones and were aged >18 y. Participants were randomly assigned to receive either Traffic Light Labels (TLL), HSR, or a control [Nutrition Information Panel (NIP)]. Smartphone technology allowed participants to scan barcodes of packaged foods and receive allocated labels on their smartphone screens. The primary outcome was the mean healthiness of all packaged food purchases, measured using the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC). Study 2. Annual surveys of packaged food labelling and composition were undertaken in supermarkets before and after adoption of HSR in New Zealand i.e. 2014 to 2016. Product data were linked with nationally representative household food purchasing data to obtain estimates of effects weighted by annual purchasing volumes. Outcomes assessed were uptake HSR by food group; composition of products displaying HSR compared with unlabelled products; and composition of products displaying HSR labels in 2016 compared with their composition prior to the introduction of HSR. Results: Study 1. 1357 eligible shoppers were randomly assigned to TLL (n = 459), HSR (n = 443), or NIP (n = 455) labels. There was no significant difference in the mean transformed NPSC scores (healthiness) for the TLL group compared with the NIP group (P = 0.60), or for HSR group compared with NIP (P = 0.12). However, in a per-protocol analysis of participants who used the labelling intervention more often than average (n = 423, 31%), those assigned to TLL and HSR had significantly better NPSC scores than those assigned to NIP (P = 0.04 and 0.01 respectively). Study 2. Two years after adoption of the voluntary system, 5.3% of packaged foods surveyed displayed HSR labels (7.2% weighted by annual purchase volumes). Food groups with highest rates of uptake were cereals, convenience foods, packaged fruit and vegetables, sauces and spreads, and 'other' products (predominantly breakfast beverages). Products displaying HSR labels had significantly lower mean
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Objective: We aimed to evaluate the effects of the Health Star Rating (HSR), a voluntary interpretive FOP labelling system on (1) consumer food choices, and (2) industry food reformulation. Design: Study 1. In a parallel-group randomized controlled trial, we enrolled household shoppers across New Zealand who owned smartphones and were aged &gt;18 y. Participants were randomly assigned to receive either Traffic Light Labels (TLL), HSR, or a control [Nutrition Information Panel (NIP)]. Smartphone technology allowed participants to scan barcodes of packaged foods and receive allocated labels on their smartphone screens. The primary outcome was the mean healthiness of all packaged food purchases, measured using the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC). Study 2. Annual surveys of packaged food labelling and composition were undertaken in supermarkets before and after adoption of HSR in New Zealand i.e. 2014 to 2016. Product data were linked with nationally representative household food purchasing data to obtain estimates of effects weighted by annual purchasing volumes. Outcomes assessed were uptake HSR by food group; composition of products displaying HSR compared with unlabelled products; and composition of products displaying HSR labels in 2016 compared with their composition prior to the introduction of HSR. Results: Study 1. 1357 eligible shoppers were randomly assigned to TLL (n = 459), HSR (n = 443), or NIP (n = 455) labels. There was no significant difference in the mean transformed NPSC scores (healthiness) for the TLL group compared with the NIP group (P = 0.60), or for HSR group compared with NIP (P = 0.12). However, in a per-protocol analysis of participants who used the labelling intervention more often than average (n = 423, 31%), those assigned to TLL and HSR had significantly better NPSC scores than those assigned to NIP (P = 0.04 and 0.01 respectively). Study 2. Two years after adoption of the voluntary system, 5.3% of packaged foods surveyed displayed HSR labels (7.2% weighted by annual purchase volumes). Food groups with highest rates of uptake were cereals, convenience foods, packaged fruit and vegetables, sauces and spreads, and 'other' products (predominantly breakfast beverages). Products displaying HSR labels had significantly lower mean saturated fat, total sugar and sodium contents, and higher fibre contents than unlabelled products (all p-values &lt;0.001). Small but statistically significant changes were observed between 2014 and 2016 in the mean energy (-29 KJ/100g, p=0.002), sodium (-49 mg/100g, p=0.03) and fibre (+0.3 g/100g, p=0.02) contents of products displaying an HSR label in 2016. Reformulation was greater for products carrying an HSR label than for unlabelled products. Conclusions: In a randomised controlled trial, interpretive nutrition labels had no significant effect on consumer food purchases, though regular use of interpretive FOP labels may result in healthier food purchases. Roll-out of the voluntary HSR labelling system is driving healthier reformulation of some products. Greater uptake of the HSR system across the full food supply should improve population diets.</description><identifier>ISSN: 0250-6807</identifier><identifier>EISSN: 1421-9697</identifier><identifier>DOI: 10.1159/000480486</identifier><language>eng</language><publisher>Basel: S. Karger AG</publisher><subject>Bar codes ; Beverages ; Cereals ; Clinical trials ; Composition ; Descriptive labeling ; Food ; Food composition ; Food groups ; Food industry ; Food labeling ; Food products ; Food supply ; Labeling ; Labels ; Nutrition ; Packaged food ; Prepared foods ; Product choice ; Public health ; Randomization ; Sauces ; Screens ; Smartphones ; Sodium ; Statistical analysis ; Sugar ; Supermarkets ; Traffic signals</subject><ispartof>Annals of nutrition and metabolism, 2017-10, Vol.71 (Suppl. 2), p.101</ispartof><rights>Copyright S. Karger AG Oct 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Mhurchu, Cliona Ni</creatorcontrib><creatorcontrib>Eyles, Helen</creatorcontrib><creatorcontrib>Volkova, Ekaterina</creatorcontrib><creatorcontrib>Jiang, Yannan</creatorcontrib><creatorcontrib>Neal, Bruce</creatorcontrib><creatorcontrib>Blakely, Tony</creatorcontrib><creatorcontrib>Swinburn, Boyd</creatorcontrib><creatorcontrib>Rayner, Michael</creatorcontrib><creatorcontrib>Choi, Yeun-Hyang</creatorcontrib><title>IMPACT OF THE NEW ZEALAND HEALTH STAR RATING SYSTEM: RCT RESULTS AND EVALUATION OF ROLL-OUT</title><title>Annals of nutrition and metabolism</title><description>Background: Interpretive, front-of-pack (FOP) nutrition labels may encourage healthier food choices by consumers and healthier reformulation of foods by industry. Objective: We aimed to evaluate the effects of the Health Star Rating (HSR), a voluntary interpretive FOP labelling system on (1) consumer food choices, and (2) industry food reformulation. Design: Study 1. In a parallel-group randomized controlled trial, we enrolled household shoppers across New Zealand who owned smartphones and were aged &gt;18 y. Participants were randomly assigned to receive either Traffic Light Labels (TLL), HSR, or a control [Nutrition Information Panel (NIP)]. Smartphone technology allowed participants to scan barcodes of packaged foods and receive allocated labels on their smartphone screens. The primary outcome was the mean healthiness of all packaged food purchases, measured using the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC). Study 2. Annual surveys of packaged food labelling and composition were undertaken in supermarkets before and after adoption of HSR in New Zealand i.e. 2014 to 2016. Product data were linked with nationally representative household food purchasing data to obtain estimates of effects weighted by annual purchasing volumes. Outcomes assessed were uptake HSR by food group; composition of products displaying HSR compared with unlabelled products; and composition of products displaying HSR labels in 2016 compared with their composition prior to the introduction of HSR. Results: Study 1. 1357 eligible shoppers were randomly assigned to TLL (n = 459), HSR (n = 443), or NIP (n = 455) labels. There was no significant difference in the mean transformed NPSC scores (healthiness) for the TLL group compared with the NIP group (P = 0.60), or for HSR group compared with NIP (P = 0.12). However, in a per-protocol analysis of participants who used the labelling intervention more often than average (n = 423, 31%), those assigned to TLL and HSR had significantly better NPSC scores than those assigned to NIP (P = 0.04 and 0.01 respectively). Study 2. Two years after adoption of the voluntary system, 5.3% of packaged foods surveyed displayed HSR labels (7.2% weighted by annual purchase volumes). Food groups with highest rates of uptake were cereals, convenience foods, packaged fruit and vegetables, sauces and spreads, and 'other' products (predominantly breakfast beverages). Products displaying HSR labels had significantly lower mean saturated fat, total sugar and sodium contents, and higher fibre contents than unlabelled products (all p-values &lt;0.001). Small but statistically significant changes were observed between 2014 and 2016 in the mean energy (-29 KJ/100g, p=0.002), sodium (-49 mg/100g, p=0.03) and fibre (+0.3 g/100g, p=0.02) contents of products displaying an HSR label in 2016. Reformulation was greater for products carrying an HSR label than for unlabelled products. Conclusions: In a randomised controlled trial, interpretive nutrition labels had no significant effect on consumer food purchases, though regular use of interpretive FOP labels may result in healthier food purchases. Roll-out of the voluntary HSR labelling system is driving healthier reformulation of some products. Greater uptake of the HSR system across the full food supply should improve population diets.</description><subject>Bar codes</subject><subject>Beverages</subject><subject>Cereals</subject><subject>Clinical trials</subject><subject>Composition</subject><subject>Descriptive labeling</subject><subject>Food</subject><subject>Food composition</subject><subject>Food groups</subject><subject>Food industry</subject><subject>Food labeling</subject><subject>Food products</subject><subject>Food supply</subject><subject>Labeling</subject><subject>Labels</subject><subject>Nutrition</subject><subject>Packaged food</subject><subject>Prepared foods</subject><subject>Product choice</subject><subject>Public health</subject><subject>Randomization</subject><subject>Sauces</subject><subject>Screens</subject><subject>Smartphones</subject><subject>Sodium</subject><subject>Statistical analysis</subject><subject>Sugar</subject><subject>Supermarkets</subject><subject>Traffic signals</subject><issn>0250-6807</issn><issn>1421-9697</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNjM2KwjAUhcOgMPVnMW9wwXX1prZp4y5otEJsJbmdYXRRXOhCRGesvr8RfADhwLc43zmMfXEccp7IESLGmY_4YAGPIx5KIdMWCzBKMBQZpp-s0zRHRB5lcRKw7XK1VlOCcg6Uayj0D2y0MqqYQe5JOThSFqyiZbEA9-tIryZg_cJqVxly8FT1tzKVV8rieWRLY8Kyoh5rH3anZt9_scsGc03TPPy7Xv7v--ZWHy_369lXdYSCSz5OhBy_Zz0Am_Y-cg</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Mhurchu, Cliona Ni</creator><creator>Eyles, Helen</creator><creator>Volkova, Ekaterina</creator><creator>Jiang, Yannan</creator><creator>Neal, Bruce</creator><creator>Blakely, Tony</creator><creator>Swinburn, Boyd</creator><creator>Rayner, Michael</creator><creator>Choi, Yeun-Hyang</creator><general>S. 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Objective: We aimed to evaluate the effects of the Health Star Rating (HSR), a voluntary interpretive FOP labelling system on (1) consumer food choices, and (2) industry food reformulation. Design: Study 1. In a parallel-group randomized controlled trial, we enrolled household shoppers across New Zealand who owned smartphones and were aged &gt;18 y. Participants were randomly assigned to receive either Traffic Light Labels (TLL), HSR, or a control [Nutrition Information Panel (NIP)]. Smartphone technology allowed participants to scan barcodes of packaged foods and receive allocated labels on their smartphone screens. The primary outcome was the mean healthiness of all packaged food purchases, measured using the Food Standards Australia New Zealand Nutrient Profiling Scoring Criterion (NPSC). Study 2. Annual surveys of packaged food labelling and composition were undertaken in supermarkets before and after adoption of HSR in New Zealand i.e. 2014 to 2016. Product data were linked with nationally representative household food purchasing data to obtain estimates of effects weighted by annual purchasing volumes. Outcomes assessed were uptake HSR by food group; composition of products displaying HSR compared with unlabelled products; and composition of products displaying HSR labels in 2016 compared with their composition prior to the introduction of HSR. Results: Study 1. 1357 eligible shoppers were randomly assigned to TLL (n = 459), HSR (n = 443), or NIP (n = 455) labels. There was no significant difference in the mean transformed NPSC scores (healthiness) for the TLL group compared with the NIP group (P = 0.60), or for HSR group compared with NIP (P = 0.12). However, in a per-protocol analysis of participants who used the labelling intervention more often than average (n = 423, 31%), those assigned to TLL and HSR had significantly better NPSC scores than those assigned to NIP (P = 0.04 and 0.01 respectively). Study 2. Two years after adoption of the voluntary system, 5.3% of packaged foods surveyed displayed HSR labels (7.2% weighted by annual purchase volumes). Food groups with highest rates of uptake were cereals, convenience foods, packaged fruit and vegetables, sauces and spreads, and 'other' products (predominantly breakfast beverages). Products displaying HSR labels had significantly lower mean saturated fat, total sugar and sodium contents, and higher fibre contents than unlabelled products (all p-values &lt;0.001). Small but statistically significant changes were observed between 2014 and 2016 in the mean energy (-29 KJ/100g, p=0.002), sodium (-49 mg/100g, p=0.03) and fibre (+0.3 g/100g, p=0.02) contents of products displaying an HSR label in 2016. Reformulation was greater for products carrying an HSR label than for unlabelled products. Conclusions: In a randomised controlled trial, interpretive nutrition labels had no significant effect on consumer food purchases, though regular use of interpretive FOP labels may result in healthier food purchases. Roll-out of the voluntary HSR labelling system is driving healthier reformulation of some products. Greater uptake of the HSR system across the full food supply should improve population diets.</abstract><cop>Basel</cop><pub>S. Karger AG</pub><doi>10.1159/000480486</doi></addata></record>
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source JSTOR Archive Collection A-Z Listing; Karger Journals; Alma/SFX Local Collection
subjects Bar codes
Beverages
Cereals
Clinical trials
Composition
Descriptive labeling
Food
Food composition
Food groups
Food industry
Food labeling
Food products
Food supply
Labeling
Labels
Nutrition
Packaged food
Prepared foods
Product choice
Public health
Randomization
Sauces
Screens
Smartphones
Sodium
Statistical analysis
Sugar
Supermarkets
Traffic signals
title IMPACT OF THE NEW ZEALAND HEALTH STAR RATING SYSTEM: RCT RESULTS AND EVALUATION OF ROLL-OUT
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