Next Article in Journal
Rapid, Sensitive On-Site Detection of Deoxynivalenol in Cereals Using Portable and Reusable Evanescent Wave Optofluidic Immunosensor
Next Article in Special Issue
Self-Learning about Herbal and Dietary Supplements: Perspectives Using the Theoretical Domains Framework
Previous Article in Journal
Adjusting the Canadian Healthcare System to Meet Newcomer Needs
Previous Article in Special Issue
Factors Involved in the Food Choices of Diners in a Kibbutz Communal Dining Room Buffet: A Qualitative Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Public Support for the Imposition of a Tax on Sugar-Sweetened Beverages and the Determinants of Such Support in Spain

by
Sara Fernández Sánchez-Escalonilla
1,*,
Carlos Fernández-Escobar
2 and
Miguel Ángel Royo-Bordonada
3
1
Department of Preventive Medicine and Public Health, Albacete University Teaching Hospital Complex, 02006 Albacete, Spain
2
Public Health and Epidemiology Research Group, Faculty of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Spain
3
National School of Health, Carlos III Institute of Health, 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(7), 3758; https://doi.org/10.3390/ijerph19073758
Submission received: 22 February 2022 / Revised: 17 March 2022 / Accepted: 20 March 2022 / Published: 22 March 2022

Abstract

:
(1) Background: Taxes on sugar-sweetened beverages are an effective public health intervention, but can be difficult to implement in the absence of public support. This is the first study to analyze the Spanish population’s support for a tax on sugar-sweetened beverages. (2) Methods: We conducted a cross-sectional study of a representative sample of the Spanish adult population (n = 1002), using a computer-aided telephone interview with a questionnaire on nutritional policies. The support for the tax was calculated by the percentage of those who agreed plus those who strongly agreed with the measure. The sociodemographic determinants of support for the tax were analyzed using chi-squared test (χ2) and Poisson multiple regression models with robust variance. (3) Results: Of the participants, 66.9% supported a tax on sugar-sweetened beverages. Support for the tax was 9.2% higher (70% vs. 64.1%) when responders were first asked about support for tax relief and subsidies for healthy foods (p = 0.049). Support for the tax was 16% and 35% lower among persons reporting center and right-wing political sympathies (p < 0.01), and 16% lower among regular consumers of sugar-sweetened beverages (p = 0.01). (4) Conclusions: A clear majority of the Spanish population is in favor of imposing a tax on sugar-sweetened beverages. Awareness-raising campaigns and a policy of combining the measure with subsidies or tax cuts on healthy foods could increase the level of support among those currently against the intervention.

1. Introduction

Intake of sugar-sweetened beverages increases the risks of obesity [1], diabetes [2], cardiovascular disease [3], cancer [4], and all-cause mortality [5]. In 2016, the World Health Organization (WHO) recommended the imposition of a tax on sugar-sweetened beverages of at least 20% of the retail price, with the aim of reducing their negative impact on health. This measure has shown itself to be effective in reducing the purchase and consumption of sugar-sweetened beverages [6], thus serving to sensitize the population to the health risks entailed in consuming such drinks.
The Spanish adult population consumes a mean of 246 mL/day of sugar-sweetened beverages, including soft drinks, fruit juices, and fruit drinks [7]. This consumption is higher among adolescents, rising to 450 mL/day [8] and providing more than 6% of their total caloric intake [9], thereby contributing to the high prevalence of obesity in Spain [10]. The intake of sugar-sweetened beverages is higher in Spanish children and adolescents than in those from other European countries, such as France and Belgium [8], where obesity prevalence is lower than in Spain [11]. Southern European countries, including Spain, have the highest prevalence of obesity and severe obesity among children [12,13]. In 2016, the Minister of Inland Revenue therefore announced the establishment of a tax on sugar-sweetened beverages in Spain, but the Government withdrew the proposal in the face of pressure from the soft drink industry and sugar beet sector [14]. One year later, the Catalonian Regional Authority imposed a specific tax on sugar-sweetened beverages for health reasons, subject to the requirement that the full burden of this levy was to be borne by the end consumer [15].
The most common soft drinks in the Spanish market have an amount of sugar that ranges between 78 g and 54 g per 600 mL [16]. The average amount of soft drink consumed in Spain during the year 2019 according to the report of the Ministry of Agriculture, Fisheries and Food per person and year was 38.85 L [17]. In recent years, the consumption of fruit drinks with and without gas has decreased but the consumption of other sugar-sweetened beverages such as energy drinks has increased [18].
In Spain, the Law on Food Safety and Nutrition establishes that the sale of foods and beverages with a high content of saturated fatty acids, trans fatty acids, salt, and sugars is not allowed in schools [19], but the regulation that will determine the allowed contents has not been developed yet. Currently, only a guide with voluntary recommendations is available [20], and compliance with its criteria is very low [21].
Evidence to date shows that acute exposure to unhealthy food or nonalcoholic beverage advertising on television or the Internet increases the intake of those products, especially in children [22,23]. Therefore, States have the responsibility to regulate advertising to protect children from exposure to the marketing of ultraprocessed foods and beverages [24].
When it comes to drawing up public health policies, an important factor to be taken into consideration is their possible acceptance by the population [25], particularly when personal freedoms and individual responsibility are invoked to oppose them [26]. In the absence of public support, even the best-intentioned and most carefully drawn up policy can prove difficult to pass into law or implement [27,28]. Interviews conducted in a number of countries have detected a varying degree of popular support for the imposition of taxes on sugar-sweetened beverages in around 50% of the population, linked to sociodemographic factors and the attribution of obesity to different causes [27,29,30,31,32,33,34,35,36,37,38].
In Spain, while the levying of a tax on sugar-sweetened beverages enjoys the support of scientific associations, health professionals, and civil society organizations [39], to our knowledge there are no data available on the general population’s opinion on the matter. Hence, this study aimed to describe the degree to which the Spanish population supports the introduction of a tax on sugar-sweetened beverages, and analyze the determinants of such support. Furthermore, it also analyzed the individual and environmental factors related to the consumption of the sugar-sweetened drinks to which obesity is attributed.

2. Materials and Methods

2.1. Study Design and Participants

We conducted a cross-sectional study by interviewing persons aged 18 years and over, resident in Spain. As its base, the initial sampling framework took homes in Spain having a fixed telephone installed in September 2018. A total of 99.6% of homes had a telephone; of these, 23.9% only had a mobile telephone, 1.6% only had a fixed telephone, and 74.2% had both [40]. To extend the study’s coverage to persons who did not possess a fixed telephone or whose names had not been recorded in the database at their own request, a mobile telephone database was incorporated into the sampling framework, establishing a 50–50 distribution between fixed and mobile numbers. The mobile telephone database was created with randomly generated numbers starting with 6 and 7, deleting the prefixes (the first 3 digits of mobile telephone numbers) that do not exist.
The sample was obtained, using stratified random sampling by size of habitat and Autonomous Region (Comunidad Autónoma), with homes as first-stage sampling units. The sizes of the strata were obtained a priori on the basis of official statistics of the Spanish adult population, and the persons to be interviewed in each stratum were selected by simple random sampling with poststratification by sex and age group, until the pre-established sample size in each stratum was reached. This task was automatically performed with the aid of Bellview CATI (computer-aided telephone interview) computer software. The interview was designed to obtain a 95.5% confidence level, with a precision of ±3.5% for an estimated proportion of 50%. The response rate was 76%, thus making it necessary to select a total of 1319 individuals until the pre-established sample size was reached. The final sample totaled 1002 participants with proportional allocation per stratum.

2.2. Data Collection and Study Variables

The study questionnaire was purpose-designed by the study researchers taking other questionnaires used in similar interviews as reference [6,8,9,10,15,25,26,27,28,29,30], and then sent to public health policy experts and representatives of the Food and Agriculture Organization (FAO) and the WHO, whose suggestions were subsequently incorporated. To ascertain the appropriateness, comprehensibility and order of the questions, the length and duration of the questionnaire, and the level of response, we carried out a pilot study on a sample of 60 persons from 30 May to 6 June 2018. Due to difficulties of comprehension or inconsistencies in responses, the wording of 3 questions was amended halfway through the field work of this pilot study.
The study questionnaire was made up of 40 questions structured in 4 sections. The dependent variable of the study was a question using a 5-point Likert-type scale (“strongly agree”, “agree”, “no opinion”, “disagree”, and “strongly disagree”) to evaluate support for a tax on sugar-sweetened beverage, which formed part of the section on price policies. We considered tax supporters as those who responded they agree or strongly agree. In view of the fact that the pilot study showed that support for this measure varied according to the precise order in which the questions on price policies were posed, a random order was applied, with half of the participants first being asked about the tax, and the other half first being asked about reductions in VAT and subsidies on healthy products. Using the same Likert-type scale, we assessed the degree to which participants agreed with the attribution of obesity to different causes. The section on health included questions on weight and height, physical activity, sleep, and food. Lastly, we included a section addressing sociodemographic information, with data on sex, age, nationality, educational level, marital status, occupational status, income level, political orientation, and occupation, which served to assign social class using the classification of occupational social class (CSO-SEE12), based on the Spanish National Classification of Occupations 2011 (CNO-2011) and a neo-Weberian Perspective [41]. The interviews were conducted from 10 September to 1 October 2018, using a CATI having a mean duration of 20 min, administered by trained interviewers.

2.3. Statistical Analysis

We performed a descriptive analysis by calculating the distribution of the frequencies and, where applicable, the mean of the sample’s sociodemographic characteristics, consumption of sugar-sweetened beverages, presence of excess weight (body mass index (BMI) >25), and level of attribution of obesity to different causes. The degree of support for the tax on sugar-sweetened beverages was determined by calculating the percentage of those who agreed plus those who strongly agreed with the measure. To compare support for the tax by category of study variable and the order in which the question was posed (i.e., before or after asking about tax relief and subsidies on healthy foods), the chi-squared test (χ2) was applied. To analyze the determinants of support for the tax, we used Poisson regression models with robust variance, adjusted for consumption of sugar-sweetened beverages, BMI, and sociodemographic variables identified as relevant in the scientific literature [27,28,29,30,31]. Poisson regression with robust variance provides correct estimates and is a better alternative to logistic regression for the analysis of cross-sectional studies with binary outcomes [42]. As the results showed no variation after we excluded the variables of ideological orientation and income level, which displayed a high number of missing values, the models are shown without adjustment for these variables. To correct small deviations in the final valid sample with respect to the proportional allocation, in all calculations we applied a weighting coefficient for each case, having regard to the proportional distribution of the Spanish population by the variables of sex, age, autonomous region, and habitat.

3. Results

3.1. Sociodemographic Characteristics

The sociodemographic characteristics of the sample are shown in Table 1. The mean age of the 1002 participants was 50.3 years, and 52.7% were women. The breakdown showed the following: more than half had secondary education or higher (57.5%), were gainfully employed (53.2%), ideologically aligned with the political center (50.4%), and reported an income of less than EUR 1850 (57.5%); 42.4% were classified as having low social class status, 43.3% suffered from excess weight, and 22.5% were regular consumers of sugar-sweetened beverages.

3.2. Degree of Agreement with Attribution of Obesity to Individual and Environmental Causes

Participants “agreed” or ”strongly agreed” with obesity being essentially attributed to individual factors, with 92.2% attributing it to lack of effort, motivation, and discipline, 95.4% attributing it to addiction to food high in fat, sugar, or salt, and 97.2% attributing it to consumption of foods and sugar-sweetened beverages, as opposed to 75.7% who attributed it to genetics. Attribution of obesity to environmental factors was 69.9% for the high price of healthy foods and 86.8% for the low price of unhealthy foods. On a scale of 1 (strongly disagree) to 5 (strongly agree), mean scores ranged from 4.6 for excessive consumption of foods and sugar-sweetened beverages to 3.8 for genetics and the high price of healthy foods (Table 2).

3.3. Prevalence of Support for a Tax on Sugar-Sweetened Beverages

A total of 66.9% of participants supported the imposition of a tax on sugar-sweetened beverages (Table 3). The level of support for the tax was lower among participants professing a right-wing ideological orientation (51.2%; p < 0.01), persons who reported an income below EUR 1050 (61.2%; p = 0.04), those having low social class status (62.7%; p = 0.04), and regular consumers of sugar-sweetened beverages (57.2%; p < 0.01). The level of support for the tax was higher among participants who strongly agreed with obesity being attributed to excessive consumption of sugar-sweetened beverages, addiction to sugar, and lack of motivation and discipline (71%; p < 0.01); the high price of healthy foods (74.6%; p < 0.01); the low price of unhealthy foods (72.2%; p < 0.01; data not shown in the Table). The level of support for the tax was 9.2% higher (p = 0.049) in those cases where participants were asked about it after being asked about support for tax relief and subsidies for healthy foods (Table 3). This difference was more marked among women (13.1%; p = 0.04), adolescents and young adults (27.8%; p = 0.05), university students (18.5%; p = 0.04), participants ideologically aligned with the political center (17.6%; p = 0.03), middle-class participants (20.4%; p = 0.02), and those who suffered from overweight (15.6%; p = 0.04).

3.4. Prevalence Ratios of Support for a Tax on Sugar-Sweetened Beverages

Table 4 shows the prevalence ratios (PRs) of support for the tax obtained with Poisson regression models. In comparison with participants who professed a left-wing ideological orientation, support for the tax was 18% and 34% lower among those who reported center-leaning (PR = 0.82; CI: 0.75–0.91) and right-wing political affiliations, respectively (PR = 0.66; CI: 0.54–0.81). Support for the tax was also 15% lower among persons with a monthly income of under EUR 1050 (PR = 0.85; CI: 0.75–0.97) as compared to those who reported an income of over EUR 1850, and 18% lower among regular consumers versus nonconsumers of sugar-sweetened beverages (PR = 0.82; CI: 0.73–0.93). Although these effects remained unchanged in the adjusted models, the effect for income ceased to be statistically significant.

4. Discussion

The practical totality of the Spanish population (97.2%) feels that excessive consumption of sugar-sweetened beverages causes obesity, and two out of every three people are in favor of a tax on sugar-sweetened beverages, a level of support that drops among regular consumers of sugar-sweetened beverages and those who profess center-leaning or right-wing ideological affiliations. Individuals who attribute obesity to consumption of sugar-sweetened beverages and the factors underlying this are more strongly in favor of the measure. Support for the tax rose by 9.2% when participants were asked about it after other price measures, such as subsidies or tax cuts on healthy products, had been proposed, with this figure doubling among university students and middle-class persons.
This is the first study to analyze the opinions of a representative sample of the Spanish adult population about the imposition of a tax on sugar-sweetened beverages. The proposed tax received majority support (66.9% of the sample), higher than that observed in countries such as France (57.7%) [43], the USA (40%) [38], Germany (42.2%) [37], and Australia (48%) [44]. Only one recent survey in the United Kingdom (UK) showed itself more favorable to this type of tax, with 70% in support [45], though at the time the UK survey was carried out, the tax had already been announced by the Government, and support for such measures is known to increase after their implementation [25]. In Catalonia, the only Autonomous Region in which the tax has been introduced [15], the level of support also reached 70%, though the difference with respect to the rest of Spain was not statistically significant (data not shown in the tables). Furthermore, in the UK, the measure is targeted at drink manufacturers and the tax revenues will be devoted to health promotion activities, aspects that are linked to a higher level of support [36,43,44,46,47]. Our data support this thesis because, when participants were consulted about other types of price measures, such as tax relief and subsidies on healthy foods, before being asked about the tax, support rose to 70%, equaling that of the UK. This leap was particularly marked among people professing ideological alignment with the political center and right, and among teenagers and young adults (ages 18–29 years), as was the case in Australia [44]. In addition to enjoying more popular support, price policies that combine taxes with subsidies are not only more effective [48,49], but also mitigate the possible negative economic impacts of such taxes on the most underprivileged classes [50]. At all events, a recent review found that taxation measures have neutral or positive impacts on social inequalities in obesity and obesity-related habits, such as consumption of sugar-sweetened beverages [51].
A total of 97.2% of participants attributed obesity to consumption of sugar-sweetened beverages, a figure higher than that of around 90% observed in other countries [31,33,45], something that would help to explain the high level of support for the tax in Spain [25]. The participants overwhelmingly agreed that obesity is due to causes linked to consumption of sugar-sweetened beverages, the responsibility for which must be attributed to the individual. This result is in line with a narrative that suggests that obesity is essentially a question of individual responsibility [52], a way of perceiving and addressing the dominant problem in Spain and other countries in the region [26,53], reinforced and boosted by the mass media [54], which prioritizes the application of measures designed to act on the individual rather than the environment [35]. In such a context, it is no surprise that support for the tax would in great part depend on political ideology, with less backing from participants who profess center-leaning and right-wing political affiliations, a finding in line with the results of other studies [29,31,33,38,55,56].
As in the UK [45] and Australia [44], support for the tax was lower among regular consumers of sugar-sweetened beverages, the main segment affected by the measure, given that there is a tendency for greater support to be given to restrictive interventions aimed at the behavior patterns of others rather than of oneself [25]. The differences observed by social class and income level (less support for the tax at the lowest levels), a finding in line with the results of other [35] (though not all) [47] studies, disappeared when adjustment was made for other sociodemographic variables. Similarly, no differences were found by age or educational level, which were indeed observed in other [30,31,38] (though, yet again, not all) [43] studies. As in other studies, attribution of obesity to the consumption of sugar-sweetened beverages and addiction to food was linked to greater support for the tax [30,33,45,56]. Backing for the tax was also higher among those who attributed obesity to environmental causes, such as the price of foods, a finding along similar lines to that observed in the US [38] and German populations [37].

Limitations

The principal limitation of the study involves a possible nonresponse bias, in that 24% of the individuals selected refused to participate. As a bias-correction technique, we used semicontrolled sampling with replacement, whereby corrected prevalence estimates were obtained that are similar to those used with other methods [57]. Although this technique ensured that the sample continued to be representative of the Spanish population in terms of the sociodemographic characteristics used in the sampling, it is nevertheless possible that the individuals who were most motivated to respond might differ from those who did not respond in terms of other characteristics that determine support for the tax. A further limitation relates to the size of the sample, which was large enough for estimating the prevalence of support for the tax but limited for studying small-magnitude associations with sufficient precision. Moreover, the fact that this was a cross-sectional study means that the causality of the associations observed cannot be established. Other possible biases are social desirability bias and, in the case of the question regarding the consumption of sugar-sweetened beverages, recall bias. Although social desirability has been shown to influence reported sweetened beverage beliefs about the economic benefits of taxes in opinion surveys [58], the support for the tax is so high in Spain that the magnitude of the potential bias could not alter the conclusions of the study. In addition, weight and height were self-reported, something that tends to give rise to an underestimate of BMI. Lastly, later events since the data collection may have shifted Spanish consumer attitudes. However, even the disruptive COVID-19 pandemic had no impact on the consumption of sugar-sweetened beverages among adolescents, the main market for these drinks [59], and in Catalonia, where the tax has been implemented since 2017, there were no changes in the upward trend of the tax’s effect either during or after confinement [60].

5. Conclusions

In view of our results, the imposition of a tax on sugar-sweetened beverages to discourage their consumption, a WHO-recommended intervention of proven effectiveness, would be well received by the Spanish population, something that would facilitate its implementation and success. To increase support for the tax and mitigate its possible undesired effects, it would be advisable to combine the measure with subsidies or tax cuts on healthy foods, and with awareness-raising campaigns about the causes of obesity, environmental and genetic, which are not within the scope of individual control.

Author Contributions

M.Á.R.-B. and C.F.-E. were responsible of the design of the study and the questionnaire used. S.F.S.-E. analyzed the data and wrote the first draft of the paper in collaboration with M.Á.R.-B. All authors provided substantial inputs to the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Spanish Health Research Fund of the Institute of Health Carlos III (Project ENPY 120/18).

Institutional Review Board Statement

Given the nature of the study, which does not contain any individual person’s data in any form, ethical approval was not required.

Informed Consent Statement

Participants were informed about the survey and the voluntary and anonymous nature of their participation before giving verbal consent to participate.

Data Availability Statement

The datasets used during the current study are available from the corresponding author on reasonable request at [email protected].

Acknowledgments

The authors would like to express their gratitude for the technical and logistic support provided by the interviewers, the public health policy experts who revised and suggested amendments to the questionnaire, and the generosity of all those who agreed to participate in the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Luger, M.; Lafontan, M.; Bes-Rastrollo, M.; Winzer, E.; Yumuk, V.; Farpour-Lambert, N. Sugar-Sweetened Beverages and Weight Gain in Children and Adults: A Systematic Review from 2013 to 2015 and a Comparison with Previous Studies. Obes. Facts 2018, 10, 674–693. [Google Scholar] [CrossRef] [PubMed]
  2. Imamura, F.; O’Connor, L.; Ye, Z.; Mursu, J.; Hayashino, Y.; Bhupathiraju, S.N.; Forouhi, N.G. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: Systematic review, meta-analysis, and estimation of population attributable fraction. Br. J. Sports Med. 2016, 50, 496–504. [Google Scholar] [CrossRef] [PubMed]
  3. De Koning, L.; Malik, V.S.; Kellogg, M.D.; Rimm, E.B.; Willett, W.C.; Hu, F.B. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 2012, 125, 1735–1741. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Chazelas, E.; Srour, B.; Desmetz, E.; Kesse-Guyot, E.; Julia, C.; Deschamps, V.; Druesne-Pecollo, N.; Galan, P.; Hercberg, S.; Latino-Martel, P.; et al. Sugary drink consumption and risk of cancer: Results from NutriNet-Santé prospective cohort. BMJ 2019, 366, l2408. [Google Scholar] [CrossRef] [Green Version]
  5. Collin, L.J.; Judd, S.; Safford, M.; Vaccarino, V.; Welsh, J.A. Association of Sugary Beverage Consumption With Mortality Risk in US Adults: A Secondary Analysis of Data From the REGARDS Study. JAMA Netw. Open 2019, 2, e193121. [Google Scholar] [CrossRef] [PubMed]
  6. Teng, A.M.; Jones, A.C.; Mizdrak, A.; Signal, L.; Genç, M.; Wilson, N. Impact of sugar-sweetened beverage taxes on purchases and dietary intake: Systematic review and meta-analysis. Obes. Rev. 2019, 20, 1187–1204. [Google Scholar] [CrossRef]
  7. Ferreira-Pego, C.; Babio, N.; Fenandez-Alvira, J.M.; Iglesia, I.; Moreno, L.A.; Salas-Salvado, J. Fluid intake from beverages in Spanish adults; cross-sectional study. Nutr. Hosp. 2014, 29, 1171–1178. [Google Scholar] [CrossRef] [PubMed]
  8. Guelinckx, I.; Iglesia, I.; Bottin, J.H.; De Miguel-Etayo, P.; González-Gil, E.M.; Salas-Salvadó, J.; Kavouras, S.A.; Gandy, J.; Martinez, H.; Bardosono, S.; et al. Intake of water and beverages of children and adolescents in 13 countries. Eur. J. Nutr. 2015, 54, 69–79. [Google Scholar] [CrossRef] [Green Version]
  9. Ruiz, E.; Ávila, J.M.; Valero, T.; del Pozo, S.; Rodriguez, P.; Aranceta-Bartrina, J.; Gil, Á.; González-Gross, M.; Ortega, R.M.; Serra-Majem, L.; et al. Macronutrient distribution and dietary sources in the spanish population: Findings from the ANIBES study. Nutrients 2016, 8, 177. [Google Scholar] [CrossRef] [PubMed]
  10. Ramiro-González, M.D.; Sanz-Barbero, B.; Royo-Bordonada, M.Á. Exceso de peso infantil en España 2006-2012. Determinantes y error de percepción parental. Rev. Esp. Cardiol. 2017, 70, 656–663. [Google Scholar] [CrossRef]
  11. OECD and European Union. Health at a Glance: Europa 2020 State of Health in the EU Cycle; OECD and European Union: Paris, France, 2020; ISBN 9789264365643. [Google Scholar]
  12. Spinelli, A.; Buoncristiano, M.; Kovacs, V.A.; Yngve, A.; Spiroski, I.; Obreja, G.; Starc, G.; Pérez, N.; Rito, A.I.; Kunešová, M.; et al. Prevalence of severe obesity among primary school children in 21 European countries. Obes. Facts 2019, 12, 244–258. [Google Scholar] [CrossRef] [PubMed]
  13. Wijnhoven, T.M.A.; van Raaij, J.M.A.; Spinelli, A.; Starc, G.; Hassapidou, M.; Spiroski, I.; Rutter, H.; Martos, É.; Rito, A.I.; Hovengen, R.; et al. Iniciativa de Vigilancia de la Obesidad en la Infancia Europea de la OMS: Índice de masa corporal y nivel de sobrepeso entre los niños de 6–9 años desde el año escolar 2007/2008 hasta el año escolar 2009/2010. BMC Public Health 2014, 14, 806. [Google Scholar]
  14. El Lobby Del Azúcar Consigue Su Objetivo Al Frenar El Impuesto Sobre Los Refrescos. Available online: https://www.eldiario.es/economia/consigue-objetivo-impuesto-bebidas-azucaradas_0_628187485.html (accessed on 8 July 2019).
  15. Boletín Oficial del Estado Ley 5/2017, de 28 de marzo, de Medidas Fiscales, Administrativas, Financieras y del Sector Público y de Creación y Regulación de los Impuestos Sobre Grandes Establecimientos Comerciales, Sobre Estancias en Establecimientos Turísticos, Sobre Elementos Radiotóxicos, Sobre Bebidas Azucaradas Envasadas y Sobre Emisiones de Dióxido de Carbono. 2017; pp. 53471–53682. Available online: https://www.boe.es/buscar/doc.php?id=BOE-A-2017-7353 (accessed on 2 July 2019).
  16. Alianza Por La Salud Alimentaria Cantidad De Azúcar En Los Refrescos Más Comunes. Available online: https://alianzasalud.org.mx/2013/05/cantidad-de-azucar-en-los-refrescos-mas-comunes/ (accessed on 21 February 2022).
  17. Ministerio De Agricultura Pesca y Alimentación Informe Del Consumo Alimentario en España. 2019. Available online: https://www.mapa.gob.es/en/alimentacion/temas/consumo-tendencias/informe2019_v2_tcm38-540250.pdf (accessed on 15 March 2022).
  18. Martín, V.J. Consumo de refrescos en España. Mercasa-Distrib. Consum. 2019, 2, 95–99. [Google Scholar]
  19. Boletín Oficial del Estado, Ley 17/2011 de Seguridad Alimentaria y Nutrición. Boletín Estado 2011, 13. Available online: https://www.boe.es/eli/es/l/2011/07/05/17/con (accessed on 21 February 2022).
  20. Neira, M.; de Onis, M. The Spanish strategy for nutrition, physical activity and the prevention of obesity. Br. J. Nutr. 2006, 96 (Suppl. S1), S8–S11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Royo-Bordonada, M.A.; Martínez-Huedo, M.A. Evaluation of compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain, in 2008. Gac. Sanit. 2014, 28, 65–68. [Google Scholar] [CrossRef]
  22. Koordeman, R.; Anschutz, D.J.; van Baaren, R.B.; Engels, R.C.M.E. Exposure to soda commercials affects sugar-sweetened soda consumption in young women. An observational experimental study. Appetite 2010, 54, 619–622. [Google Scholar] [CrossRef]
  23. Boyland, E.J.; Nolan, S.; Kelly, B.; Tudur-Smith, C.; Jones, A.; Halford, J.C.; Robinson, E. Advertising as a cue to consume: A systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. Am. J. Clin. Nutr. 2016, 103, 519–533. [Google Scholar] [CrossRef] [PubMed]
  24. UNICEF. Protecting Children’s Right to a Healthy Food Environment; UNICEF: Geneva, Switzerland, 2019. [Google Scholar]
  25. Diepeveen, S.; Ling, T.; Suhrcke, M.; Roland, M.; Marteau, T.M. Public acceptability of government intervention to change health-related behaviours: A systematic review and narrative synthesis. BMC Public Health 2013, 13, 756. [Google Scholar] [CrossRef] [Green Version]
  26. Hernández-Quevedo, C.; Rechel, B. The role of public health organizations in addressing obesity in Europe. Eur. J. Public Health 2018, 28 (Suppl. S4), cky213–495. [Google Scholar] [CrossRef]
  27. Beeken, R.J.; Wardle, J. Public beliefs about the causes of obesity and attitudes towards policy initiatives in Great Britain. Public Health Nutr. 2013, 16, 2132–2137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Mazzocchi, M.; Cagnone, S.; Bech-Larsen, T.; Niedźwiedzka, B.; Saba, A.; Shankar, B.; Verbeke, W.; Traill, W.B. What is the public appetite for healthy eating policies? Evidence from a cross-European survey. Heal. Econ. Policy Law 2015, 10, 267–292. [Google Scholar] [CrossRef] [PubMed]
  29. Gollust, S.E.; Barry, C.L.; Niederdeppe, J. Americans’ opinions about policies to reduce consumption of sugar-sweetened beverages. Prev. Med. 2014, 63, 52–57. [Google Scholar] [CrossRef] [PubMed]
  30. Schulte, E.M.; Tuttle, H.M.; Gearhardt, A.N. Belief in Food Addiction and Obesity-Related Policy Support. PLoS ONE 2016, 11, e0147557. [Google Scholar] [CrossRef] [Green Version]
  31. Rivard, C.; Smith, D.; Mccann, S.E.; Hyland, A. Taxing sugar-sweetened beverages: A survey of knowledge, attitudes and behaviours. Public Health Nutr. 2012, 15, 1355–1361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Farley, T.A.; Halper, H.S.; Carlin, A.M.; Emmerson, K.M.; Foster, K.N.; Fertig, A.R. Mass media campaign to reduce consumption of sugar-sweetened beverages in a rural area of the United States. Am. J. Public Health 2017, 107, 989–995. [Google Scholar] [CrossRef] [PubMed]
  33. Donaldson, E.A.; Cohen, J.E.; Rutkow, L.; Villanti, A.C.; Kanarek, F.; Barry, C.L. Public support for a sugar-sweetened beverage tax and pro-tax messages in a Mid-Atlantic US state. Public Health Nutr. 2015, 18, 2263–2273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Krukowski, C.N.; Conley, K.M.; Sterling, M.; Rainville, A.J. A Qualitative Study of Adolescent Views of Sugar-Sweetened Beverage Taxes, Michigan, 2014. Prev. Chronic Dis. 2016, 13, 150543. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Farrell, L.C.; Warin, M.J.; Moore, V.M.; Street, J.M. Socio-economic divergence in public opinions about preventive obesity regulations: Is the purpose to ‘make some things cheaper, more affordable’ or to ‘help them get over their own ignorance’? Soc. Sci. Med. 2016, 154, 1–8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Jou, J.; Niederdeppe, J.; Barry, C.L.; Gollust, S.E. Strategic messaging to promote taxation of sugar-sweetened beverages: Lessons from recent political campaigns. Am. J. Public Health 2014, 104, 847–853. [Google Scholar] [CrossRef] [PubMed]
  37. Hilbert, A.; Rief, W.; Braehler, E. What determines public support of obesity prevention? J. Epidemiol. Community Health 2007, 61, 585–590. [Google Scholar] [CrossRef] [Green Version]
  38. Curry, L.E.; Rogers, T.; Williams, P.; Homsi, G.; Willett, J.; Schmitt, C.L. Public Attitudes and Support for a Sugar-Sweetened Beverage Tax in America’s Heartland. Health Promot. Pract. 2018, 19, 418–426. [Google Scholar] [CrossRef] [PubMed]
  39. Royo-Bordonada, M.Á.; Rodriguez-Artalejo, F.; Bes-Rastrollo, M.; Fernandez-Escobar, C.; Gonzalez, C.A.; Rivas, F.; Martínez-González, M.Á.; Quiles, J.; Bueno-Cavanillas, A.; Navarrete-Muñoz, E.M.; et al. Politicas alimentarias para prevenir la obesidad y las principales enfermedades no transmisibles en España: Querer es poder. Gac. Sanit. 2019, 33, 584–592. [Google Scholar] [CrossRef] [PubMed]
  40. Instituto Nacional de Estadística Encuesta Sobre Equipamiento y Uso De Tecnologías De Información y Comunicación En Los Hogares. Available online: https://www.ine.es/prensa/tich_2018.pdf (accessed on 15 October 2019).
  41. Domingo-Salvany, A.; Bacigalupe, A.; Carrasco, J.M.; Espelt, A.; Ferrando, J.; Borrell, C. Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificación Nacional de Ocupaciones 2011. Gac. Sanit. 2013, 27, 263–272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Barros, A.J.D.; Hirakata, V.N. Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio. BMC Med. Res. Methodol. 2003, 3, 21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Julia, C.; Méjean, C.; Vicari, F.; Péneau, S.; Hercberg, S. Public perception and characteristics related to acceptance of the sugar-sweetened beverage taxation launched in France in 2012. Public Health Nutr. 2015, 18, 2679–2688. [Google Scholar] [CrossRef] [Green Version]
  44. Richardson, T.E.; Yanada, B.A.; Watters, D.; Stupart, D.; Lamichhane, P.; Bell, C. What young Australians think about a tax on sugar-sweetened beverages. Aust. N. Z. J. Public Health 2019, 43, 63–67. [Google Scholar] [CrossRef] [PubMed]
  45. Pell, D.; Penney, T.; Hammond, D.; Vanderlee, L.; White, M.; Adams, J. Support for, and perceived effectiveness of, the UK soft drinks industry levy among UK adults: Cross-sectional analysis of the International Food Policy Study. BMJ Open 2019, 9, 1–9. [Google Scholar] [CrossRef] [PubMed]
  46. Brinsden, H.; Neveux, M. Implementing Sugar-Sweetened Beverage Taxes: Considerations for European Policymakers. 2018. Available online: https://www.worldobesity.org/resources/policy-dossiers/pd-1/ssb-briefing-and-webinar (accessed on 15 October 2019).
  47. Branson, C. Acceptable Behavior-Ipsos MORI SRI. Available online: https://www.ipsos.com/sites/default/files/publication/1970-01/sri-ipsos-mori-acceptable-behaviour-january-2012.pdf (accessed on 15 October 2019).
  48. Niebylski, M.L.; Redburn, K.A.; Duhaney, T.; Campbell, N.R. Healthy food subsidies and unhealthy food taxation: A systematic review of the evidence. Nutrition 2015, 31, 787–795. [Google Scholar] [CrossRef] [PubMed]
  49. Afshin, A.; Peñalvo, J.L.; Del Gobbo, L.; Silva, J.; Michaelson, M.; O’Flaherty, M.; Capewell, S.; Spiegelman, D.; Danaei, G.; Mozaffarian, D. The prospective impact of food pricing on improving dietary consumption: A systematic review and meta-analysis. PLoS ONE 2017, 12, e0172277. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Sassi, F.; Belloni, A.; Mirelman, A.J.; Suhrcke, M.; Thomas, A.; Salti, N.; Vellakkal, S.; Visaruthvong, C.; Popkin, B.M.; Nugent, R. Equity impacts of price policies to promote healthy behaviours. Lancet 2018, 391, 2059–2070. [Google Scholar] [CrossRef] [Green Version]
  51. Olstad, D.L.; Teychenne, M.; Minaker, L.M.; Taber, D.R.; Raine, K.D.; Nykiforuk, C.I.J.; Ball, K. Can policy ameliorate socioeconomic inequities in obesity and obesity-related behaviours? A systematic review of the impact of universal policies on adults and children. Obes. Rev. 2016, 17, 1198–1217. [Google Scholar] [CrossRef]
  52. Ralston, J.; Brinsden, H.; Buse, K.; Candeias, V.; Caterson, I.; Hassell, T.; Kumanyika, S.; Nece, P.; Nishtar, S.; Patton, I.; et al. Time for a new obesity narrative. Lancet 2018, 392, 1384–1386. [Google Scholar] [CrossRef]
  53. Royo-Bordonada, M.Á. Setting up childhood obesity policies in Europe. Lancet 2016, 388, 2475. [Google Scholar] [CrossRef] [Green Version]
  54. Elwell-Sutton, T.; Marshall, L.; Bibby, J.; Volmert, A. Reframing the Conversation on the Social Determinants of Health. Health Foundation. 2019. Available online: https://www.health.org.uk/publications/reports/reframing-the-conversation-on-the-social-determinants-of-health (accessed on 15 October 2019).
  55. World Health Organization. Fiscal Policies for Diet and the Prevention of Noncommunicable Diseases: Technical Meeting Report; World Health Organization: Geneva, Switzerland, 2016; Volume 36. [Google Scholar] [CrossRef]
  56. Barry, C.L.; Niederdeppe, J.; Gollust, S.E. Taxes on sugar-sweetened beverages: Results from a 2011 national public opinion survey. Am. J. Prev. Med. 2013, 44, 158–163. [Google Scholar] [CrossRef] [PubMed]
  57. Vives, A.; Ferreccio, C.; Marshall, G. Comparación de dos métodos para corregir el sesgo de no respuesta a una encuesta: Sustitución muestral y ajuste según propensión a responder. Gac. Sanit. 2009, 23, 266–271. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Knox, M.A.; Oddo, V.M.; PineroWalkinshawc, L.; Jones-Smith, J. Is the public sweet on sugary beverages? Social desirability bias and sweetened beverage taxes. Econ. Hum. Biol. 2020, 38, 100886. [Google Scholar] [CrossRef] [PubMed]
  59. Ruiz-Roso, M.B.; de Carvalho Padilha, P.; Mantilla-Escalante, D.C.; Ulloa, N.; Brun, P.; Acevedo-Correa, D.; Arantes Ferreira Peres, W.; Martorell, M.; Aires, M.T.; de Oliveira Cardoso, L.; et al. COVID-19 Confinement and Changes of Adolescent’s Dietary Trends in Italy, Spain, Chile, Colombia and Brazil. Nutrients 2020, 12, 1807. [Google Scholar] [CrossRef] [PubMed]
  60. Molina-Montes, E.; Uzhova, I.; Verardo, V.; Artacho, R.; García-Villanova, B.; Guerra-Hernández, E.J.; Kapsokefalou, M.; Malisova, O.; Vlassopoulos, A.; Katidi, A.; et al. Impact of COVID-19 confinement on eating behaviours across 16 European countries: The COVIDiet cross-national study. Food Qual. Prefer 2021, 93, 104231. [Google Scholar] [CrossRef]
Table 1. Sociodemographic characteristics of the study sample, representative of the Spanish adult population: 2018.
Table 1. Sociodemographic characteristics of the study sample, representative of the Spanish adult population: 2018.
Sociodemographic Characteristicsn%
Total1002100
Sex
Men47447.3
Women52852.7
Age (years)
>6524023.9
45–6435835.7
30–4425125.0
18–2915315.3
Educational level
University 27127.0
Secondary 57657.5
Primary15515.5
Occupational status (n = 1001)
Gainfully employed53353.2
Pensioner25525.4
Unemployed/unremunerated work14614.6
Student676.7
Ideology (n = 855)
Left-wing31937.3
Center43150.4
Right-wing10512.3
Income (n = 794)
>EUR 185033742.4
EUR 1050–185025131.6
<EUR 105020625.9
Social class (n = 922)
High 27329.6
Middle25828.0
Low39142.4
BMI * (n = 986)
<2555956.7
>2542743.3
Consumption of sugar-sweetened drinks
Nonconsumer65565.4
Occasional (1 a week)12112.1
Regular (>1 a week)22622.5
* BMI: body mass index.
Table 2. Degree of agreement with attribution of obesity to individual and environmental causes.
Table 2. Degree of agreement with attribution of obesity to individual and environmental causes.
Attribution of ObesitynStrongly Disagree
(%)
Disagree
(%)
No Opinion (%)Agree
(%)
Strongly Agree (%)Mean * (SD)
Individual causes
Excessive consumption of foods and sugar-sweetened beverages10000.51.3132.364.94.6 (0.63)
Addiction to food high in fat, sugar, or salt9940.422.235.959.54.5 (0.68)
Lack of effort, motivation, and discipline among people who suffer from obesity9900.52.44.842.150.14.4 (0.73)
Genetics9381.210.412.654.321.33.8 (0.92)
Environmental causes
High price of healthy foods9862.416.611.836.232.93.8 (1.14)
Low price of unhealthy foods9980.96.95.436.150.74.3 (0.91)
* Scale: 1–5 (1 “strongly disagree”; 2 “disagree”; 3 “no opinion”; 4 “agree”; 5 “strongly agree”).
Table 3. Prevalence of support for a tax on sugar-sweetened beverages, overall and by order of questions on price policies.
Table 3. Prevalence of support for a tax on sugar-sweetened beverages, overall and by order of questions on price policies.
Overall
(N = 993)
pBy Question OrderRelative
Difference **
%
p
Taxes First
(N = 517)
Subsidies and Tax Relief First
(N = 485)
Total66.9 64.170.09.20.05
Sex0.30
Men65.3 63.867.05.10.47
Women68.464.372.813.10.04
Age (years)0.53
>6567.5 63.372.214.00.16
45–6469.5 69.070.01.30.85
30–4465.263.167.77.40.45
18–2963.455.671.027.80.05
Educational level0.14
University69.9 63.975.718.50.04
Secondary67.2 64.670.28.80.16
Primary60.462.458.0−7.20.58
Occupational status (n = 992)0.56
Gainfully employed66.8 64.569.17.00.28
Pensioner65.962.070.213.30.18
Unemployed/unremunerated work71.366.476.715.60.17
Student62.1 62.162.10.01
Ideology (n = 849)<0.01
Left-wing77.1 77.077.30.40.95
Center63.658.769.017.60.03
Right-wing51.245.958.226.90.23
Income (n = 788)0.04
>EUR 185071.7 69.173.97.00.34
EUR 1050–185068.9 66.772.38.40.36
<EUR 105061.2 56.866.316.80.17
Social class (n = 915)0.04
High69 66.271.57.90.36
Middle7265.979.320.40.02
Low62.762.163.31.90.81
BMI * (n = 978)0.42
<2568.2 66.769.84.60.44
>2565.861.471.015.60.04
Consumption of sugar-sweetened beverages<0.01
Nonconsumer69.4 66.273.1−10.40.06
Occasional (1 a week)72.070.174.2−5.80.62
Regular (>1 a week)57.254.460.0−10.30.40
* BMI: body mass index. ** Relative difference was calculated: [(support when asked about subsidies and tax relief first − support when asked about taxes first)]/(support when asked about taxes first).
Table 4. Prevalence ratios (95% CI) of support for a tax on sugar-sweetened beverages obtained with Poisson regression models.
Table 4. Prevalence ratios (95% CI) of support for a tax on sugar-sweetened beverages obtained with Poisson regression models.
Crude ModelpAdjusted Model *p
Sex0.3 0.76
Men1 1
Women1.05 (0.96–1.14)1.01 (0.92–1.12)
Age (years)0.53 0.76
>651 1
45–641.03 (0.92–1.15) 0.97 (0.83–1.14)
30–440.96 (0.85–1.1) 0.92 (0.76–1.11)
18–290.94 (0.81–1.09) 0.93 (0.74–1.17)
Educational level0.17 0.36
University1 1
Secondary0.96 (0.87–1.06)0.98 (0.87–1.09)
Primary0.86 (0.74–1.00) 0.87 (0.72–1.06)
Occupational status0.54 0.23
Gainfully employed1 1
Pensioner0.99 (0.88–1.10)0.98 (0.83–1.15)
Unemployed/unremunerated work1.07 (0.95–1.20) 1.11 (0.97–1.27)
Student0.93 (0.76–1.13) 1.21 (0.93–1.59)
Ideology<0.01 <0.01
Left-wing1 1
Center0.82 (0.75–0.91)0.84 (0.77–0.93)
Right-wing0.66 (0.54–0.81) 0.65 (0.53–0.81)
Income0.06 0.17
>EUR 18501 1
EUR 1050–18500.96 (0.86–1.07)1 (0.88–1.11)
<EUR 10500.85 (0.75–0.97) 0.87 (0.74–1.01)
Social class0.04 0.17
High1 1
Middle1.04 (0.93–1.17)1.06 (0.94–1.19)
Low0.91 (0.81–1.02) 0.95 (0.83–1.08)
BMI #0.43 0.9
<251 1
>250.96 (0.88–1.05)0.99 (0.90–1.09)
Consumer of sugar-sweetened beverages<0.01 0.01
Nonconsumer1 1
Occasional1.04 (0.91–1.17)1.06 (0.93–1.21)
Regular0.82 (0.73–0.93) 0.84 (0.73–0.96)
* Adjusted for all variables in the table except ideology and income. # BMI: body mass index.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Fernández Sánchez-Escalonilla, S.; Fernández-Escobar, C.; Royo-Bordonada, M.Á. Public Support for the Imposition of a Tax on Sugar-Sweetened Beverages and the Determinants of Such Support in Spain. Int. J. Environ. Res. Public Health 2022, 19, 3758. https://doi.org/10.3390/ijerph19073758

AMA Style

Fernández Sánchez-Escalonilla S, Fernández-Escobar C, Royo-Bordonada MÁ. Public Support for the Imposition of a Tax on Sugar-Sweetened Beverages and the Determinants of Such Support in Spain. International Journal of Environmental Research and Public Health. 2022; 19(7):3758. https://doi.org/10.3390/ijerph19073758

Chicago/Turabian Style

Fernández Sánchez-Escalonilla, Sara, Carlos Fernández-Escobar, and Miguel Ángel Royo-Bordonada. 2022. "Public Support for the Imposition of a Tax on Sugar-Sweetened Beverages and the Determinants of Such Support in Spain" International Journal of Environmental Research and Public Health 19, no. 7: 3758. https://doi.org/10.3390/ijerph19073758

APA Style

Fernández Sánchez-Escalonilla, S., Fernández-Escobar, C., & Royo-Bordonada, M. Á. (2022). Public Support for the Imposition of a Tax on Sugar-Sweetened Beverages and the Determinants of Such Support in Spain. International Journal of Environmental Research and Public Health, 19(7), 3758. https://doi.org/10.3390/ijerph19073758

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop