Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-28T17:26:55.943Z Has data issue: false hasContentIssue false

Limited implementation of California’s Healthy Default Beverage law for children’s meals sold online

Published online by Cambridge University Press:  10 January 2022

Hannah R Thompson*
Affiliation:
University of California Berkeley, School of Public Health, 2121 Berkeley Way, 6120, Berkeley, CA94720-7360, USA University of California Agriculture and Natural Resources, Nutrition Policy Institute, 1111 Franklin, Fifth Floor, Oakland, CA94607, USA
Anna Martin
Affiliation:
University of California Agriculture and Natural Resources, Nutrition Policy Institute, 1111 Franklin, Fifth Floor, Oakland, CA94607, USA
Ron Strochlic
Affiliation:
University of California Agriculture and Natural Resources, Nutrition Policy Institute, 1111 Franklin, Fifth Floor, Oakland, CA94607, USA
Sonali Singh
Affiliation:
University of California Berkeley, School of Public Health, 2121 Berkeley Way, 6120, Berkeley, CA94720-7360, USA University of California Agriculture and Natural Resources, Nutrition Policy Institute, 1111 Franklin, Fifth Floor, Oakland, CA94607, USA
Gail Woodward-Lopez
Affiliation:
University of California Agriculture and Natural Resources, Nutrition Policy Institute, 1111 Franklin, Fifth Floor, Oakland, CA94607, USA
*
*Corresponding author: Email thompsonh@berkeley.edu
Rights & Permissions [Opens in a new window]

Abstract

Objective:

To reduce children’s sugar-sweetened beverage intake, California’s Healthy-By-Default Beverage law (SB1192) mandates only unflavoured dairy/non-dairy milk or water be the default drinks with restaurant children’s meals. The objective of this study is to examine consistency with this law for meals sold through online platforms from restaurants in low-income California neighbourhoods.

Design:

This observational, cross-sectional study examines beverage availability, upcharges (additional cost) and presentation of beverage options consistent with SB1192 (using four increasingly restrictive criteria) within a random sample of quick-service restaurants (QSR) in Supplemental Nutrition Assistance Program Education eligible census tracts selling children’s meals online from November 2020 to April 2021.

Setting:

Low-income California neighbourhoods (n 226 census tracts).

Participants:

QSR that sold children’s meals online via a restaurant-specific platform, DoorDash, GrubHub and/or UberEats (n 631 observations from 254 QSR).

Results:

Seventy percent of observations offered water; 63 % offered unflavoured milk. Among all beverages, water was most likely to have an upcharge; among observations offering water (n 445), 41 % had an upcharge (average $0·51). Among observations offering unflavoured milk (n 396), 11 % had an upcharge (average $0·38). No observations upcharged for soda (regular or diet). Implementation consistency with SB1192 ranged from 40·5 % (using the least restrictive criteria) to 5·6 % (most restrictive) of observations.

Conclusions:

Based on observations from restaurant websites and three of the most popular online ordering platforms, most California QSR located in low-income neighbourhoods are not offering children’s meal beverages consistent with the state’s Healthy-By-Default Beverage law. As the popularity of online ordering increases, further work to ensure restaurants offering healthy default beverages with children’s meals sold online is necessary.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Rates of childhood obesity and related chronic diseases have significantly increased in recent decades, with nearly one in five US children and adolescents having obesity(Reference Ogden, Carroll and Lawman1,Reference Hales, Fryar and Carroll2) . Sugar-sweetened beverages (SSB) are a significant causal contributor to overweight and poor health outcomes in youth(Reference Vos, Kaar and Welsh3,Reference Malik, Popkin and Bray4) . Approximately 60 % of US children consume SSB on a daily basis(Reference Bleich, Vercammen and Koma5), accounting for 8 % of energy intake(Reference Vos, Kaar and Welsh3). Further, daily SSB consumption is higher for children of colour and children from low-income families, compared with White and higher income children, likely contributing to health disparities(Reference Mendez, Miles and Poti6,Reference Tasevska, DeLia and Lorts7) .

On average, 25 % of children’s SSB intake is consumed in restaurants(Reference Drewnowski and Rehm8). This is likely due at least in part to the high availability of SSB in those settings; in 2019, 61 % of the top fifty restaurant chains in the US had SSB on children’s menus(Reference Krieger, Bleich and Scarmo9). Consumption of children’s meals from quick-service restaurants (QSR) is associated with increased energetic intake(Reference Harris and Thomas10) and increased SSB intake(Reference Moran, Subramanian and Rimm11). Moreover, non-White and low-income youth are more likely to regularly consume QSR food compared with their White and higher income counterparts, further exacerbating existing health disparities(Reference Guerrero and Chung12,Reference Ostchega, Fryar and Nwankwo13) . This could be due, in part, to a higher prevalence of QSR in low income and communities of colour(Reference Sanchez-Vaznaugh, Weverka and Matsuzaki14,Reference Larson, Story and Nelson15) , as well as disproportionate QSR advertising targeted at Black and Latinx youth(Reference Harris, Fleming-Milici and Phaneuf16). Identifying interventions to decrease youth SSB consumption is necessary, and may be successful when executed in the QSR setting.

In an effort to reduce children’s SSB consumption, several states (including California, Delaware and Hawaii) and jurisdictions (including Philadelphia, PA; New York, NY; Baltimore, MD; Louisville, KY and Lafayette, CO) have enacted legislation mandating healthy beverages (i.e. water, unflavoured milk products and in some cases, 100 % fruit juice) as the default beverage options for children’s meals sold in restaurants including QSR(Reference Yang and Benjamin-Neelon17Reference Harpainter, Hewawitharana and Lee20). California’s law, Senate Bill (SB) 1192(21), known as the Healthy-By-Default Beverage law, is among the most stringent of existing legislation, allowing only plain or sparkling water with no added sweeteners, unflavoured milk or unflavoured, non-dairy milk product alternatives as default beverage options (only allowable beverages are automatically included or offered as part of a children’s meal, absence of specific request by the purchaser of the children’s meal for an alternative beverage). The law also requires that menus, menu boards and advertisements for children’s meals include only approved default options. In California, customers may still purchase SSB with children’s meals, but must specifically request those beverages.

Evidence from a broad range of fields suggests that consumers tend to select default options(Reference Wootan22Reference Johnson and Goldstein25), with further evidence suggesting healthy default beverages are acceptable to children and parents and can result in more nutritious choices(Reference Loeb, Radnitz and Keller26Reference Henry and Borzekowski28). Studies have found increased ordering of more healthful items(Reference Yang and Benjamin-Neelon17,Reference Anzman-Frasca, Mueller and Sliwa29) and reduced energetic intake(Reference Anzman-Frasca, Mueller and Sliwa29) following the implementation of healthy default menus. Additional research indicates that cost also impacts beverage choice(Reference Gittelsohn, Trude and Kim30), with in-store studies demonstrating that pricing, in combination with promotion and prompting, effectively impacts purchasing behaviour(Reference Slapø, Schjøll and Strømgren31). However, evidence regarding the impact of healthy default policies on pricing is mixed, with some studies finding price increases(Reference Anzman-Frasca, Mueller and Sliwa29) and others reporting no change in prices(Reference Krukowski and West32,Reference Peters, Beck and Lande33) .

A study examining adherence to California’s Healthy-By-Default Children’s Meal Beverage law when ordering in-person at QSR (either inside the restaurant or via drive through) demonstrated the proportion of menu boards listing only healthy default beverages with children’s meals increased from 9·7 % to 66·1 % after SB1192 was enacted; however, few staff verbally offered beverages consistent with the legislation, with a significant decrease from 5 % to 1 %(Reference Karpyn, Ritchie and Harpainter18,Reference Ritchie, Lessard and Harpainter34) . The incomplete implementation of the law could result in an attenuation of the intended impact to reduce SSB consumption among young children.

In recent years, there has been an increasing trend in ordering meals online (either via website or phone application) for pick-up or delivery(Reference Keeble, Adams and Sacks35). With the onset of the COVID-19 pandemic in March 2020, which resulted in stay-at-home and social distancing orders, online ordering has further increased in popularity(Reference Sumagaysay36). Whether or not QSR fully implement SB1192 when offering beverages with children’s meals sold online is therefore of increasing importance, yet remains unknown.

Collaborating with under-resourced communities, including the retail food sector, to reduce SSB consumption is a goal of CalFresh Healthy Living—the Supplemental Nutrition Assistance Program Education (SNAP-Ed) in California. The California Department of Public Health implements state-wide CalFresh Healthy Living initiatives and funds local health departments in nearly every county to implement CalFresh Healthy Living. This study was conducted to inform the work of CalFresh Healthy Living and their partners regarding the need for complementary local or state action to ensure optimal implementation and effectiveness of SB1192 in achieving the objective of reducing SSB consumption by young children. Specifically, this study examines the online ordering process for QSR located in SNAP-Ed eligible census tracts to provide specifics regarding the extent and nature of SB1192 implementation on QSR-specific and third-party online ordering platforms with the aim of informing efforts to improve policy language and provide support for policy implementation.

Methods

Sample

For this observational, cross-sectional study, we sampled QSR sites from California’s thirteen largest QSR chains that sold children’s meals (defined as a combination of food items and a beverage, or a single food item and a beverage, sold together at a single price, primarily intended for consumption by a child(21)). From within each eligible chain, we randomly sampled QSR sites located in all SNAP-Ed eligible census tracts (n 1350) across the state using the 2019 Dun & Bradstreet California Retail Food Environment dataset(37). A census tract was considered SNAP-Ed eligible if 50 % or more of households had incomes at or below 185 % of the Federal Poverty Level.

For each of the QSR chains in our sample with ≥ 79 restaurants total in the study census tracts, the number of QSR sites sampled was proportional to the size of that chain relative to the other sampled chains to achieve an error of +/– 5·15 % in the estimate of whether a QSR upcharged for default beverages (water and unflavoured milk). For chains with < 79 restaurants per chain, all QSR sites in the study census tracks were sampled. This resulted in an initial sample of 346 QSR sites from 13 chains (Fig. 1). QSR sites: that were closed (n 24); without online ordering capabilities (n 37) and without children’s meals available online (n 31) were excluded from the sample.

Fig. 1 Sample restaurant and observation flow chart

From the remaining 254 QSR sites, we collected data from four potential online ordering platforms (restaurant-specific platform, DoorDash, GrubHub and UberEats) per site (n 1016 possible observations). Observations without children’s meals available on a given platform were excluded (n 385 observations). The final sample included 631 observations from 254 QSR sites from thirteen chains.

The study sample of 254 QSR sites was located in 226 California SNAP-Ed eligible census tracts (Table 1). There are on average 953 children ages 0–11 living in these census tracts, 36·1 % of whom live under 100 % of the federal poverty line and 67·6 % of whom live under 185 % of the federal poverty line. On average, census tract residents were primarily Hispanic or Latinx (62·4 %) or White (non-Hispanic) (20·9 %).

Table 1 Demographic characteristics of census tracts in which the sample of 254 restaurants reside, (n 226 census tracts)

* Rounded averages may not add up to 100 %.

Data collection tool

Study data were collected from November 2020 to April 2021 using a standardised protocol and a data collection instrument adapted from an instrument previously used for assessing on-site restaurant menu compliance with SB1192(Reference Harpainter, Hewawitharana and Lee20). Each QSR chain was assigned one pre-determined kid’s meal entrée to be ‘ordered’ during data collection for all restaurants and ordering platforms for that chain to ensure that any price differences seen within a chain were due only to differences in beverage selection. The selected entrée was usually the first entrée listed at the smallest size without an upcharge. For example, one QSR chain that offered multiple sizes and options for children’s meals entrees was assigned a hamburger as the standard entrée, and all data collected from that chain (from every restaurant and every platform) were related to a children’s meal with a hamburger.

Beverage availability

Beverages available with children’s meals were categorised as follows: water bottle or cup; unflavoured milk (regardless of fat content); unspecified milk (unclear if flavoured/unflavoured); flavoured milk (e.g. chocolate) regardless of fat content; 100 % fruit juice with no added sugar; juice diluted with water and no added sugar; unspecified fountain/kids drink (listed as ‘fountain drink,’ ‘kids’ drink’, ‘small drink’ or something similarly non-specific, often with a link or drop-down menu with specific beverage options, including SSB); regular soda; diet soda; soda (unclear if regular or diet); other pre-sweetened beverages (e.g. sweetened iced teas, sweetened lemonades, sweetened juice drinks) and other unsweetened or artificially sweetened beverages (unsweetened iced tea, lite lemonade). Data collectors recorded whether and which beverages were offered initially when ordering online (on the first screen where beverage selection was available) and, in cases where additional options were available, on a second screen that the customer was directed to if they selected an option to see additional beverage choices. Data collectors also recorded if and which beverages were included in images of the full kids’ meal (that included all kid’s meal components). No data were collected regarding images of only beverages that were placed next to a listed beverage option on the kids’ meal ordering screen(s).

Costs

If a beverage choice increased the total cost of the children’s meal (e.g. choosing milk increased the meal price by $1·00), then the additional cost (upcharge) was recorded. The total cost of the children’s meal with the specified entrée was also recorded. For each beverage offered with an upcharge, the upcharge amount was divided by the cost of the children’s meal to determine the upcharge as a proportion of the total children’s meal cost.

Making healthy beverages the default/Consistency with SB1192

SB1192, as written, does not specifically mention online ordering, lacks details regarding how other (non-compliant) beverages can be offered in the online context and fails to clarify if there can be additional costs (upcharges) for default beverages. ‘Compliance’ with the law is therefore subject to interpretation, and thus difficult to assess. To address this challenge, we developed four increasingly restrictive sets of criteria to assess the extent of implementation of the law (Fig. 2). This approach also supports the study objective by providing more nuanced information to inform improvements in policy language and implementation efforts. As written, the law clearly does not allow the initial offering of specific non-compliant beverages; therefore, all four criteria specify that one or both of the allowable default beverages (water and/or unflavoured/unspecified milk) be offered and no other specifically named beverages be offered on the first children’s meal beverage ordering screen (i.e. only initial offering of default beverages). The criteria also concern upcharges and how the purchaser can ‘request’ or access other beverages, which were not written into the law, but are directly related to the law’s intent to reduce children’s SSB consumption by making the healthy choice the easiest choice.

Fig. 2 Implementation of California’s Healthy-by-Default Children’s Meal Beverage lawA using progressively more restrictive criteria (n 617 observationsB from four ordering platorms: restaurant-specific (n 221), DoorDash (n 145), GrubHub (n 106) and UberEats (n 145))

Criteria 1, the most lenient criteria (which allows for the most flexibility in the interpretation of the law as it pertains to meals sold online) allows: (a) only initial offering of default beverages, (b) upcharges for the allowable default beverages, and allows for the two ways that sites provided access to other drink options, (c) an unspecified kids’/fountain drink option on the first beverage ordering screen usually with a link or drop-down with other drink options and (d) a link with wording such as ‘other beverages’ to a second ordering screen with additional beverages. Criteria 2 allows for only (a), (c) and (d). Criteria 3 allows for only (a) and (d). Finally, the most strict criteria, Criteria 4 only allows for (a). Because of their limited number, and because not all images (such as those associated with listed beverages options) were assessed, the five observations where images of the children’s meal included a beverage other than the allowable defaults were excluded from this assessment of implementation as were the nine observations that did not include the option to select a beverage.

Data analysis

Beverage availability, consistency of beverage availability within the same QSR site across all platforms and average beverage upcharge data were calculated using descriptive statistics. The number and proportion of observations by platform type (restaurant-specific v. third-party (DoorDash, GrubHub and UberEats) and extent of implementation based on the four criteria were also calculated. All analyses were performed in Stata/MP v16 (College Station, Texas).

Results

Most QSR sites had online ordering capabilities on a restaurant-specific platform (n 225; 89 % of QSR sites); followed by UberEats (n 153; 60 %), DoorDash (n 147; 58 %) and GrubHub (106; 42 %).

Seventy percent of observations offered water on either the first or second screen; 62·8 % offered unflavoured milk, 24·3 % offered unspecified milk and 51·7 % offered 100 % fruit juice (Table 2). Overall, 622 observations (99 %) had beverages available on the first beverage ordering screen. Nine observations (1 %) did not enable beverage selection (presumably, only one beverage came, pre-selected, with the children’s meal or a beverage choice was possible at meal pick-up). The most common beverages offered on the first ordering screen were water (70·4 % of observations), unflavoured milk (61·8 %) and 100 % fruit juice (39·8 %). On average, QSR were least consistent in offering water on the first screen across all platforms (only offered consistently for 44·5 % of QSR). Unflavoured milk was offered consistently on the first screen across all platforms for 61·8 % of QSR sites.

Table 2 Beverage availability, consistency and pricing with bundled children’s meals available to order online in fast-food restaurants in Supplemental Nutrition Assistance Program Education eligible neighbourhoods in California, (n 631 observations*, 254 restaurants, 13 restaurant chains)

Nine observations did not allow a beverage choice/selection with children’s meals sold online, but presumably could be selected at pick-up.

* For sampled restaurants (n 254), there were four potential ordering platforms sampled per restaurant (restaurant specific platform; DoorDash, GrubHub and UberEats), resulting in a potential four observations/restaurant.

Includes observations from the first screen where beverage selection was available when ordering a children’s meal online, and in some cases, from a second screen if there was an option on the first screen to see additional beverage choices.

Thirty-six observations did not have an image of the children’s meal that showed a beverage on any of the observed ordering screens.

§ California Senate Bill (SB) 1192, Healthy-by-Default Children’s Meal Beverage Law, requires restaurants that serve a children’s meal which includes a beverage make the default beverage offered with the children’s meal to be one or more of the following: 1. Water, sparkling water, or flavoured water with no added natural or artificial sweeteners; 2. Unflavoured milk (plain dairy milk); 3. Non-dairy milk alternative (example: almond, coconut or soy milk). It does not prohibit a restaurant’s ability to sell, or a customer’s ability to purchase, an alternative beverage instead of the default beverage offered with the children’s meals, if requested by the purchaser of the children’s meal.

|| Was not clear by online listing if beverage was flavoured or unflavoured milk or regular or diet soda.

Other pre-sweetened beverages included sweetened iced teas, sweetened lemonades, sweetened juice drinks and milkshakes.

** Other artificially or unsweetened beverages included almost exclusively unsweetened iced teas (98 %), but also included lite lemonade (2 %).

†† Includes items listed as ‘fountain drink,’ ‘kid’s drink,’ ‘small drink,’ or something similarly non-specific, often with a link or drop-down menu with specific beverage options, including sugar-sweetened beverages.

Only 132 observations (20·9 %) had beverages available on both a first and second screen. The most common beverages offered on the second screen were other unsweetened/artificially sweetened beverages (such as iced tea; 93·2 %), other pre-sweetened beverages (such as lemonade; 92·4 %), regular soda (89·4 %) and diet soda (89·4 %). Water and unflavoured milk were offered on the second screen for 65·2 % and 59·1 % of observations, respectively. Water was offered consistently on the second screen across all platforms for 19·1 % of QSR sites; 26·7 % of QSR sites offered unflavoured milk consistently on the second screen across all platforms.

Among all beverages, water was the most likely to have an additional cost (upcharge); among the 445 observations that offered water, 41·1 % had a water upcharge. Among the 396 observations that offered unflavoured milk, 10·6 % had an upcharge. Of the 275 observations that offered other presweetened beverages 2·9 % had an upcharge for at least one of those drinks. Of the 71 observations that offered an unspecified kids’/fountain drink option, only 2·8 % upcharged for at least one of those drinks. Juice was also frequently upcharged; of the 326 observations that included 100 % juice, 92 (28·4 %) had an upcharge and of the 166 that offered diluted juice 13 (7·8 %) had an upcharge. No observations upcharged for soda (regular, diet or unclear), or other unsweetened/artificially sweetened beverages. The average upcharge cost for water was $0·51, which on average represented an 11 % increase over the total children’s meal cost. On average, 100 % fruit juice had the most expensive upcharge (average of $1·03, representing 24 % of the average total children’s meal cost).

Using the most liberal criteria (Criteria 1), less than half of the observations (38·5 % of restaurant-specific platforms and 41·7 % of third-party platform observations; 40·5 % of all platform observations combined) implemented SB1192 (Fig. 2). If we also consider an upcharge for the allowed default beverages to be inconsistent with SB1192 (Criteria 2), then implementation rates drop considerably to only 14·0 % for restaurant-specific platform observations, 8·8 % for third-party platform observations (10·7 % for all platform observations combined). Disallowing an unspecified kids’/fountain drink option on the first beverage ordering screen (Criteria 3) lowered implementation consistency only slightly compared with Criteria 2. No observed restaurant-specific platform observations and only 8·8 % of the third-party platform observations (5·6 % of observations from all platforms combined) met the most stringent criteria (Criteria 4; only the allowed default beverages were offered on the first beverage ordering screen, with no links to additional options and no upcharges for allowable default beverages).

Discussion

Based on observations from restaurant websites and three of the most popular online ordering services, most California QSR located in low-income neighbourhoods are not offering children’s meals that are consistent with SB1192, the state’s Healthy-By-Default Children’s Meal Beverage law, thereby diminishing the potential impacts of the legislation in reducing SSB intake among children. Further, additional costs for healthy default beverages (water and unflavoured milk) may also be discouraging families from choosing those beverages with children’s meals. Together, low consistency with SB1192 and more prevalent upcharges for default beverages, coupled with no upcharges for soda or fountain drinks (which often contain sugar), could be mitigating progress that has been made with regards to SB1192 adherence in physical QSR spaces to improve children’s diets.

Prior work examining California QSR beverage offerings with children’s meals before and after implementation of SB1192 demonstrated that the number of in-restaurant and drive-through QSR menus including only law-consistent beverages significantly increased nearly sixfold, from 10 % to 66 %(Reference Ritchie, Lessard and Harpainter34). However, 1-year post SB1192 implementation, one-third of sampled QSR were still not consistent with the law in regard to the menu board and only 1 % were offering beverages during in-person ordering in a manner consistent with the legislation. Interestingly, the same study found offerings on menus/menu boards did not change after similar legislation was passed in Wilmington, Delaware. This could be because no restaurant managers in Wilmington reported knowing about the law, compared with nearly one-third of California managers; or, it could be because a smaller proportion of Wilmington restaurants were chains and chains might be expected to have increased awareness and more systematic implementation of applicable legislation(Reference Ritchie, Lessard and Harpainter34). Online ordering platforms, however, were not examined and to our knowledge there is no published literature on the implementation of SB1192 or similar legislation on online ordering platforms.

The text of SB1192 lacks clear and specific language in several regards. First, it does not mention online ordering platforms, a concerning omission given the rise in online and on-site kiosk ordering in restaurants, which accelerated during COVID-19 restrictions beginning in March 2020. Second, no specific reference is made to upcharges for default beverages. And third, it is not clear how online platforms could present only the allowable defaults beverages while also allowing customers to request other beverage options. Given this lack of clarity in legislative language, we examined several increasingly restrictive criteria for implementation consistency with SB1192. Implementation was low (under 41 %) regardless of the criteria used, and fewer than 6 % of observations had only water or unflavoured milk available on the first online ordering screen where beverages can be chosen, with no upcharge for those beverages.

In this study, while water, unflavoured milk and 100 % fruit juice were the most frequently offered beverages on the first online ordering screen, these beverages were also the most likely to be available only at an additional cost. When there was an upcharge, choosing water with a children’s meal increased the cost of the meal by 11 %; for unflavoured milk, by 7 %. In contrast, no observations upcharged for soda (regular and diet) or fountain drinks, and very few (< 3 %) upcharged for other pre-sweetened beverages.

Upcharges for the allowable default beverages are clearly contrary to the intent of SB1192 because the upcharges likely discourage those selections among price-conscious consumers. Prior evidence shows that pricing impacts beverage choice(Reference Gittelsohn, Trude and Kim30), with studies conducted in stores demonstrating that cost, in combination with promotion and prompting, effectively impacts purchasing behaviour(Reference Slapø, Schjøll and Strømgren31). Price is an especially important factor for low-income consumers, who are significantly more conscious of cost and value than higher income consumers(Reference Steenhuis, Waterlander and de Mul38). Higher costs for healthy default beverages sold online from QSR in low-income, majority Latinx neighbourhoods, coupled with no additional cost for SSB such as soda and pre-sweetened drinks, likely discourages consumers from making healthier selections with children’s meals sold online. Yet, this study found that 41 % of observations that offered water had an upcharge for water, and 10 % that offered unflavoured milk, and 20 % that offered an unspecified milk option, upcharged for those beverages. These upcharges not only undermine the intent of SB1192, but also likely contribute to persistent disparities in SSB consumption between lower income and higher income youth and among children of colour compared with non-Hispanic White children(Reference Mendez, Miles and Poti39).

These findings suggest that restaurants were unaware of the legislation or uncertain as to whether, and how, to apply the mandate to online ordering; 59·5 % of the observations included options that were clearly not compliant such as SSB, artificially sweetened beverages or unsweetened tea (Fig. 2, Criteria 1). Some (nearly 8 %) had the option to choose a ‘fountain’, ‘kids’, or ‘small drink’ that often included a drop-down or link to a list that included options other than the allowable default beverages. In many instances, there was an equally prominently displayed option to click on a link to see ‘more beverages.’ This link sometimes included a photo of beverages that were clearly neither water nor unsweetened milk. One could argue whether listing these more generic options in this manner is consistent with the legislation. However, the effort involved in one click may not be a sufficient deterrent to selecting unhealthy options. Including a more inconspicuous link without photos or suggestive language as to the nature of other beverage options would be more consistent with the intent of this law.

These findings suggest the need to provide clarification to, and education for, those responsible for implementing SB1192 at QSR. Local and state agencies and their partners could work with restaurants and online ordering platforms to ensure complete implementation in a way that is most likely to reduce youth SSB consumption (the intent of the law). Changes at the restaurant chain or online platform level could impact not only the QSR and patrons in this sample, but restaurants and customers across the state. Otherwise, the opportunity presented by this legislation to influence the choices and preferences of young children will likely go largely unrealised. For those contemplating similar legislation, our findings suggest that they would be well-advised to include more specific language regarding online ordering and explicitly prohibit upcharges for allowable default beverages. No legislation can ever fully anticipate new developments or cover all possible scenarios in detail. Therefore, work by local authorities and community partners may be needed to ensure policies are fully implemented to maximise the benefit for the populations they are meant to protect and to reduce disparities.

Several study limitations necessitate mention. First, SB1192 does not contain clear language pursuant to beverages included with children’s meals sold online, making adherence to the law subject to interpretation. Second, we do not have data on QSR’ online children’s meals offerings prior to implementation of SB1192, precluding a pre-/post-examination of change. Collecting this data again, as online ordering and ordering by scanning Quick Response (QR) codes on personal devices inside of restaurants continues to increase in popularity, would provide additional important evidence on changes in consistency with SB1192 implementation over time. Third, we were not able to examine trends in consumer purchasing, nor study whether consistency with SB1192 impacted QSR’ bottom lines. However, evidence suggests that healthy default beverages are acceptable to both parents and children and do not decrease sales(Reference Peters, Beck and Lande33,Reference Blake, Backholer and Lancsar40Reference Vecchio and Cavallo48) . In fact, offering healthier options at QSR does not negatively affect corporate performance(Reference Blake, Backholer and Lancsar40,Reference Anzman-Frasca, Mueller and Lynskey46) and may even have positive financial impacts(Reference Anzman-Frasca, Mueller and Sliwa29,Reference Cardello and Wolfson49) . Finally, our study sample includes QSR in low-income California neighbourhoods that were able to stay open during the COVID-19 pandemic, which could impact generalisability of these findings to QSR in higher income neighbourhoods or in other states.

For any legislation to have the intended effect, it is necessary for the legislation to be implemented. The intent of SB1192 is to reduce the consumption of SSB among young children(21) by making healthy beverage choices (i.e. unsweetened water and milk or milk alternatives) the easy (i.e. default) option when ordering a restaurant children’s meal. The strength of this behavioural economics approach is that consumer education is not necessary to influence behaviour because conscious effort on the part of the consumer is not involved(Reference Dalrymplea, Radnitza and Loeb50). In addition, the purchaser must exert effort to select an unhealthy beverage option(Reference Dalrymplea, Radnitza and Loeb50). On average, QSR located in low-income California neighbourhoods are not offering beverages with children’s meals sold online in a way that’s consistent with the state’s Healthy-By-Default Children’s Meal Beverage law, thereby diminishing the potential impacts of the legislation in reducing SSB intake among children. As web-based ordering, ordering at mobile kiosks and ordering by scanning QR codes on personal devices inside of restaurants (rather than with a person at the counter) become increasingly common, further work to ensure QSR are offering healthy default beverages with children’s meals sold online is warranted.

Acknowledgements

Acknowledgements: The authors would like to thank Kaela Plank, Temika Green and Jorge Contreras for their assistance collecting study data. Financial support: This study was conducted as part of a contract with the California Department of Public Health with funding from USDA SNAP-Ed. These institutions are equal opportunity providers and employers. The views expressed are those of the authors and not necessarily those of the funders. The California Department of Public Health had no role in the design, analysis or writing of this article. Conflicts of interest: There are no conflicts of interest. Authorship: G.W.L. and A.M. formulated the research questions and designed the study. A.M., R.S. and S.S. collected study data. H.R.T. further refined the research questions and developed and executed the data analysis strategy with input from G.W.L., A.M. and R.S. R.S. drafted the manuscript introduction and H.R.T. prepared the draft tables and draft manuscript. G.W.L., A.M., R.S. and S.S. provided substantive edits and feedback on the manuscript. Ethics of human subject participation: This study did not involve Human Subjects Research.

References

Ogden, CL, Carroll, MD, Lawman, HG et al. (2016) Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA 315, 22922299.CrossRefGoogle ScholarPubMed
Hales, CM, Fryar, CD, Carroll, MD et al. (2018) Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007–2008 to 2015–2016. JAMA 319, 17231725.CrossRefGoogle ScholarPubMed
Vos, MB, Kaar, JL, Welsh, JA et al. (2017) Added sugars and cardiovascular disease risk in children: a scientific statement from the American Heart Association. Circulation 135, e1017e34.CrossRefGoogle ScholarPubMed
Malik, VS, Popkin, BM, Bray, GA et al. (2010) Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 121, 13561364.CrossRefGoogle ScholarPubMed
Bleich, SN, Vercammen, KA, Koma, JW et al. (2018) Trends in beverage consumption among children and adults, 2003–2014. Obesity 26, 432441.CrossRefGoogle Scholar
Mendez, MA, Miles, DR, Poti, JM et al. (2018) Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States. Am J Clin Nutr 109, 7989.CrossRefGoogle Scholar
Tasevska, N, DeLia, D, Lorts, C et al. (2017) Determinants of sugar-sweetened beverage consumption among low-income children: are there differences by race/ethnicity, age, and sex? J Acad Nutr Diet 117, 19001920.CrossRefGoogle Scholar
Drewnowski, A & Rehm, CD (2014) Consumption of added sugars among US children and adults by food purchase location and food source. Am J Clin Nutr 100, 901907.CrossRefGoogle ScholarPubMed
Krieger, J, Bleich, SN, Scarmo, S et al. (2020) Sugar-sweetened beverage reduction policies: progress and promise. Annu Rev Public Health 42, 439461.CrossRefGoogle Scholar
Harris, J & Thomas, VL (2017) The influence of bundling and caloric knowledge on calories ordered and purchase intent. J Consum Affairs 51, 113132.CrossRefGoogle Scholar
Moran, AJ, Subramanian, S, Rimm, EB et al. (2019) Characteristics associated with household purchases of sugar-sweetened beverages in US restaurants. Obesity 27, 339348.CrossRefGoogle ScholarPubMed
Guerrero, AD & Chung, PJ (2016) Racial and ethnic disparities in dietary intake among California children. J Acad Nutr Diet 116, 439448.CrossRefGoogle ScholarPubMed
Ostchega, Y, Fryar, CD, Nwankwo, T et al. (2020) Fast food intake among children and adolescents in the United States, 2015–2018. NCHS Data Brief 375, 18.Google Scholar
Sanchez-Vaznaugh, EV, Weverka, A, Matsuzaki, M et al. (2019) Changes in fast food outlet availability near schools: unequal patterns by income, race/ethnicity, and urbanicity. Am J Prev Med 57, 338345.CrossRefGoogle Scholar
Larson, NI, Story, MT & Nelson, MC (2009) Neighborhood environments: disparities in access to healthy foods in the US. Am J Prev Med 36, 7481.CrossRefGoogle Scholar
Harris, JL, Fleming-Milici, F, Phaneuf, L et al. (2021) Fast Food FACTS: Food Advertising to Chilrend, Teens Score. Fast Food Advertising: Billions in Spending, Continued High Exposure by Youth. Hartford, CT, USA: UCONN Rudd Center for Food Policy & Obesity.Google Scholar
Yang, YT & Benjamin-Neelon, SE (2019) Recent progress in children’s meals law in restaurants in Baltimore City and California State: making a healthy beverage option the default choice. Prev Med 123, 160162.CrossRefGoogle Scholar
Karpyn, A, Ritchie, L, Harpainter, P et al. (2020) Assessing the Implementation of Kids’ Meals Healthy Default Beverage Policies in the State of California, City of Wilmington, Del. Durham, NC: Healthy Eating Research.Google Scholar
McGurk, M, Cacal, S, Vu, U et al. (2021) Baseline assessment of children’s meals and healthy beverage options prior to a state-level Healthy Default Beverage (HDB) Law. J Healthy Eating Act Living 1, 5363.CrossRefGoogle Scholar
Harpainter, P, Hewawitharana, SC, Lee, DL et al. (2020) Voluntary kids’ meal beverage standards: are they sufficient to ensure healthier restaurant practices and consumer choices? Int J Environ Res Public Health 17, 5275.CrossRefGoogle ScholarPubMed
California Senate Bill 1192 (2018) Children’s Meals. https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201720180SB1192 (accessed June 2021).Google Scholar
Wootan, MG (2012) Children’s meals in restaurants: families need more help to make healthy choices. Child Obes 8, 3133.CrossRefGoogle ScholarPubMed
Radnitz, C, Loeb, KL, DiMatteo, J et al. (2013) Optimal defaults in the prevention of pediatric obesity: from platform to practice. J Food Nutr Disord 2, 1.Google Scholar
Choi, JJ, Laibson, D, Madrian, BC et al. (2003) Optimal defaults. Am Econ Rev 93, 180185.CrossRefGoogle Scholar
Johnson, EJ & Goldstein, D (2003) Do defaults save lives? Science 302, 13381339.CrossRefGoogle ScholarPubMed
Loeb, KL, Radnitz, C, Keller, K et al. (2017) The application of defaults to optimize parents’ health-based choices for children. Appetite 113, 368375.CrossRefGoogle ScholarPubMed
Muth, ND, Dietz, WH, Magge, SN et al. (2019) Public policies to reduce sugary drink consumption in children and adolescents. Pediatrics 143, e20190282.CrossRefGoogle ScholarPubMed
Henry, HK & Borzekowski, DL (2015) Well, that’s what came with it. A qualitative study of US mothers’ perceptions of healthier default options for children’s meals at fast-food restaurants. Appetite 87, 108115.CrossRefGoogle Scholar
Anzman-Frasca, S, Mueller, MP, Sliwa, S et al. (2015) Changes in children’s meal orders following healthy menu modifications at a regional US restaurant chain. Obesity 23, 10551062.CrossRefGoogle Scholar
Gittelsohn, J, Trude, ACB & Kim, H (2017) Pricing strategies to encourage availability, purchase, and consumption of healthy foods and beverages: a systematic review. Prev Chronic Dis 14, E107.CrossRefGoogle ScholarPubMed
Slapø, H, Schjøll, A, Strømgren, B et al. (2021) Efficiency of in-store interventions to impact customers to purchase healthier food and beverage products in real-life grocery stores: a systematic review and meta-analysis. Foods 10, 922.CrossRefGoogle ScholarPubMed
Krukowski, RA & West, D (2013) Peer reviewed: no financial disincentive for choosing more healthful entrées on children’s menus in full-service restaurants. Prev Chronic Dis 10, E94.CrossRefGoogle Scholar
Peters, J, Beck, J, Lande, J et al. (2016) Using healthy defaults in Walt Disney World restaurants to improve nutritional choices. J Assoc for Consum Res 1, 92103.Google ScholarPubMed
Ritchie, LD, Lessard, L, Harpainter, P et al. (2021) Restaurant kids’ meal beverage offerings before and after implementation of healthy default beverage policy statewide in California compared with citywide in Wilmington, Delaware. Public Health Nutr, 111. doi: 10.1017/S1368980021001245.Google ScholarPubMed
Keeble, M, Adams, J, Sacks, G et al. (2020) Use of online food delivery services to order food prepared away-from-home and associated sociodemographic characteristics: a cross-sectional, multi-country analysis. Int J Environ Res Public Health 17, 5190.CrossRefGoogle ScholarPubMed
Sumagaysay, L (2020) MarketWatch: The Pandemic has more than Doubled Food-Delivery Apps’ Business. Now What? https://www.marketwatch.com/story/the-pandemic-has-more-than-doubled-americans-use-of-food-delivery-apps-but-that-doesnt-mean-the-companies-are-making-money-11606340169 (accessed September 2021).Google Scholar
Dun & Bradstreet (2019) California Retail Food Environment Dataset. https://www.dnb.com/ (accessed July 2021).Google Scholar
Steenhuis, IH, Waterlander, WE & de Mul, A (2011) Consumer food choices: the role of price and pricing strategies. Public Health Nutr 14, 22202226.CrossRefGoogle ScholarPubMed
Mendez, MA, Miles, DR, Poti, JM et al. (2019) Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States. Am J Clin Nutr 109, 7989.CrossRefGoogle ScholarPubMed
Blake, MR, Backholer, K, Lancsar, E et al. (2019) Investigating business outcomes of healthy food retail strategies: a systematic scoping review. Obes Rev 20, 13841399.CrossRefGoogle ScholarPubMed
Kraak, V, Englund, T, Misyak, S et al. (2017) Progress evaluation for the restaurant industry assessed by a voluntary marketing-mix and choice-architecture framework that offers strategies to nudge American customers toward healthy food environments, 2006–2017. Int J Environ Res Public Health 14, 760.CrossRefGoogle ScholarPubMed
Kraak, V, Englund, T, Misyak, S et al. (2017) A novel marketing mix and choice architecture framework to nudge restaurant customers toward healthy food environments to reduce obesity in the United States. Obes Rev 18, 852868.CrossRefGoogle ScholarPubMed
Kraak, VI (2018) US restaurant sector can promote healthy food environments to reduce obesity risk. Am J Clin Nutr 107, 288290.CrossRefGoogle ScholarPubMed
Anzman-Frasca, S, Dawes, F, Sliwa, S et al. (2014) Healthier side dishes at restaurants: an analysis of children’s perspectives, menu content, and energy impacts. Int J Behav Nutr Phys Act 11, 112.CrossRefGoogle ScholarPubMed
Hanks, AS, Just, DR, Smith, LE et al. (2012) Healthy convenience: nudging students toward healthier choices in the lunchroom. J Public Health 34, 370376.CrossRefGoogle ScholarPubMed
Anzman-Frasca, S, Mueller, MP, Lynskey, VM et al. (2015) Orders of healthier children’s items remain high more than two years after menu changes at a regional restaurant chain. Health Affairs 34, 18851892.CrossRefGoogle Scholar
Loeb, KL, Radnitz, C, Keller, KL et al. (2018) The application of optimal defaults to improve elementary school lunch selections: proof of concept. J Sch Health 88, 265271.CrossRefGoogle ScholarPubMed
Vecchio, R & Cavallo, C (2019) Increasing healthy food choices through nudges: a systematic review. Food Qual Prefer 78, 103714.CrossRefGoogle Scholar
Cardello, H & Wolfson, J (2013) Lower-Calorie Foods and Beverages Drive Healthy Weight Commitment Foundation Companies’ Sales Growth. Washington, DC: Hudson Institute.Google Scholar
Dalrymplea, JC, Radnitza, C, Loeb, K et al. (2020) Optimal defaults as a strategy to improve selections from children’s menus in full-service theme park dining. Appetite 152, 104697.CrossRefGoogle Scholar
Figure 0

Fig. 1 Sample restaurant and observation flow chart

Figure 1

Table 1 Demographic characteristics of census tracts in which the sample of 254 restaurants reside, (n 226 census tracts)

Figure 2

Fig. 2 Implementation of California’s Healthy-by-Default Children’s Meal Beverage lawA using progressively more restrictive criteria (n 617 observationsB from four ordering platorms: restaurant-specific (n 221), DoorDash (n 145), GrubHub (n 106) and UberEats (n 145))

Figure 3

Table 2 Beverage availability, consistency and pricing with bundled children’s meals available to order online in fast-food restaurants in Supplemental Nutrition Assistance Program Education eligible neighbourhoods in California, (n 631 observations*, 254 restaurants, 13 restaurant chains)