A randomized trial to evaluate the impact of Singapore's forthcoming Nutri-grade front-of-pack beverage label on food and beverage purchases.

BACKGROUND: The epidemic of non-communicable diseases (NCDs) is a growing concern worldwide and Singapore is no exception to this global trend. As part of measures to address this concern, the Singapore government will implement a mandatory color-coded front-of-package (FOP) nutrition label for beverages, called Nutri-Grade (NG), which will complement the existing FOP label, Healthier Choice Symbol (HCS) logos, currently displayed on select food and beverage items. NG grades beverages on a four-point scale, A (healthiest) to D (least healthy), in terms of sugar and saturated fat levels. This study aimed to evaluate the effectiveness of the NG label on nutritional quality of pre-packaged beverages using a fully functional online grocery store. METHODS: We conducted a 2-arm crossover trial involving actual purchases with 138 participants randomly exposed to: 1) Control with HCS logos displayed on qualifying items; 2) Similar to Control except that all beverages displayed the NG label. The effects of the NG label were estimated using a linear mixed-effects model that addresses correlations between repeated measures and accommodates missing data. RESULTS: We found that the NG label encouraged consumers to choose beverages with higher ratings. This led to a reduction in sugar from beverages purchased by 1.51 g [95% CI: - 2.68, - 0.34] per serving but was not effective at reducing saturated fat purchased (- 0.009 g [95% CI: - 0.22, 0.20]) per serving or improvements in overall diet quality, measured by the weighted (by the number of servings) average Nutri-Score value ranging from 1 to 5 (- 0.024 [95% CI: - 0.13, 0.08]). CONCLUSIONS: Results suggest that the Nutri-Grade label is likely to reduce sugar purchased from beverages. However, to improve overall diet quality in Singapore, additional measures will be needed. TRIAL REGISTRATION: This trial was registered on ClinicalTrials.gov under the identifier: NCT05018026 on 24th August 2021.

Evaluation of Combinations of Nudging, Pricing, and Labeling Strategies to Improve Diet Quality: A Virtual Grocery Store Experiment Employing a Multiphase Optimization Strategy.

BACKGROUND: Several intervention strategies have been shown to improve diet quality. However, there is limited evidence on the increase in effectiveness that may be achieved through select combinations of these strategies. PURPOSE: This study aimed to identify an effective multicomponent intervention to improve diet quality of a grocery basket by applying a Multiphase Optimization Strategy framework and testing various combinations of four promising strategies using a fully functional web-based grocery store: (i) front-of-pack food labels and real-time feedback of the healthiness of the shoppers' grocery basket, (ii) a tax, (iii) ordering products by a nutritional quality score, and (iv) healthier substitute offers. METHODS: We conducted a hypothetical shopping study (N = 756) with a randomized full factorial design (16 conditions) to estimate main and interaction effects of the four interventions. RESULTS: The "food labels & real-time feedback" and "ordering" strategies had significantly positive main effects on overall diet quality of the shopping basket (both at p < .001). We found no effects on diet quality for the "tax" and "healthier substitute offers." None of the two-way interaction effects for different strategies on overall diet quality and nutrients were significant. CONCLUSIONS: Having "food labels & real-time feedback" and "ordering" simultaneously seemed to be more effective at improving diet quality, compared to having only one of these interventions. These results suggest that a combination of food labels with real-time feedback and ordering interventions can be part of a promising multicomponent strategy to improve diet quality in online shopping platforms. TRIAL REGISTRATION: ClinicalTrials.gov NCT04632212.

"I want to live, but " the desire to live and its physical, psychological, spiritual, and social factors among advanced cancer patients: evidence from the APPROACH study in India.

BACKGROUND: The limited access to palliative care resources along with the social stigma around cancer largely explains the poor quality of life (QoL) of Indian advanced cancer patients. As advanced cancer patients with poor QoL often harbour a desire for hastened death (DHD), it is imperative to understand factors affecting DHD, or the desire to live (DTL) among advanced cancer patients in India. We aim to examine the relationship between DTL and physical, psychological, spiritual, and social factors measuring patients' QoL alongside their awareness of their late cancer stage. METHODS: We surveyed 200 patients from a tertiary cancer hospital in India to collect their DTL, awareness of cancer stage, demographic characteristics, and standardized measures for patients' QoL. We used a linear probability regression model to quantify the association between these factors and patients' DTL among the final sample of 192 patients with no missing information for the variables of interest. RESULTS: Among the various domains affecting cancer patients' QoL, we found that the pain severity score (ranging from 0 to 10) and psychological distress score (ranging from 0 to 42) are negatively associated with the DTL. One point increase in each score reduced the DTL by 2.2% (p < 0.05) and 0.7% (p < 0.05), respectively. Our results also showed that patients whose perceived socio-economic status (SES) is poor have a 16% (p < 0.05) lower probability of DTL, compared to those with higher SES (lower middle class, upper middle class, and wealthy). Controlling for caste, religion, gender, age, marital status and years of education, we found psychological distress is statistically higher among patients belonging to this bottom SES. CONCLUSIONS: We found that pain severity, psychological distress and perceived low SES are negatively associated with the desire to live in advanced cancer patients. Future research should focus on developing interventions to improve physical pain and psychological distress, particularly for patients who are socially and economically disadvantaged.

The role of food preferences in determining diet quality for Tanzanian consumers.

Consumer preferences can be leveraged to magnify the impacts of agricultural investments and interventions on diets for all consumers in an economy, not just farmers. Using nationally representative panel data from Tanzania, we estimate demand for 19 food groups using an Exact Affine Stone Index censored demand system, which is flexible, utility-theoretic, controls for unobserved heterogeneity, and accounts for bias arising from endogenous prices. We find strong links between growth in household expenditures and improved diet quality. Also, staple grain prices are important determinants of nutrient intake. For poor consumers, e.g., protein and iron intake are more sensitive to maize price changes than to changing prices of other foods that contain more protein and iron. We use simulations to show that cash transfers and price vouchers targeting staple grains, pulses & nuts, and starchy staples could be effective in shrinking gaps between recommended and actual dietary intake for poor consumers.

A Randomized Controlled Study to Test Front-of-Pack (FOP) Nutrition Labels in the Kingdom of Saudi Arabia.

One common strategy for governments to tackle the non-communicable disease (NCD) epidemic is front-of-package (FOP) nutrition labeling. The Kingdom of Saudi Arabia (KSA) is considering implementing a new FOP label that is based on either France's Nutri-Score (NS), which labels all foods (A = healthiest to E = least healthy) based on overall nutritional quality, or the Chilean warning label (WL) approach, which identifies foods to avoid based on select nutritional characteristics. Using a fully functional online grocery store, this study aimed to test these two promising FOP strategies by randomizing 656 KSA adults into one of the three versions of the store to complete a hypothetical grocery shop: no-label (control), NS, and WL. The NS was modified with a sugar percentage tag given that reducing sugar consumption is one of KSA's public health goals. We found that both modified NS labels and Chilean warning labels positively influenced food and beverage choices among KSA participants, but there were differential effects across the two labels. Relative to the control, NS improved the overall diet quality of the shopping baskets, measured by the weighted (by the number of servings) average NS point (ranging from 0, least healthy, to 55, healthiest), by 2.5 points [95% CI: 1.7, 3.4; p < 0.001], whereas results for WL were not statistically significant (0.6 points [95% CI: -0.2,1.5]). With respect to each nutritional attribute, we found that NS reduced sugar intake per serving, whereas WL was effective at decreasing energy and saturated fat intake per serving from food and beverages purchased. Our results suggest that the NS approach that identifies the healthiness of all foods using a holistic approach appears preferable if the purpose of the label is to improve overall diet quality as opposed to addressing select nutrients to avoid.

The Effect of Dynamic Food Labels with Real-Time Feedback on Diet Quality: Results from a Randomized Controlled Trial.

The rising prevalence of non-communicable diseases has brought attention to the importance of consuming a healthy diet. One strategy to improve diet quality is through front-of-pack (FOP) nutrition labels. Taking advantage of an online grocery store, we allowed consumers to choose the FOP labels they preferred, and combined this information with real-time feedback on the overall nutritional quality of the shopping basket. We hypothesized that these dynamic food labels with real-time feedback (DFLF) would improve nutritional quality of food purchases. This trial followed a two-arm (no-label control and DFLF) crossover design with 125 participants exposed to each condition once in random order via an online grocery store. A first difference regression model allowed for estimating the unbiased effect of the DFLF on diet quality, measured by the weighted average Nutri-Score (ranging 1 to 5) per serving (primary) and changes in select nutrients and calories. The mean weighted Nutri-Score was 0.4 (12.6%) higher in the DFLF arm (CI: [0.2, 0.6]) relative to the control. The DFLF also decreased the amount of sugar per serving by 0.9 g (CI: [-1.7, -0.0]) and total sugar per shop by 169.5 g (CI: [-284.5, -54.5]). The DFLF features significantly improved nutrition quality relative to no labelling, as measured by average Nutri-Score values. These results shed light on the considerable potential of the online shopping environment to improve diet quality through customization and real time feedback.