0048/2020 - Consumo de bebidas alcoólicas e não alcoólicas: Resultados do ELSA-Brasil
Consumption of alcoholic and non-alcoholic beverages: ELSA-Brasil results
Autor:
• Jordana Herzog Siqueira - Siqueira, J. H. - <jordana.herzog@gmail.com>ORCID: https://orcid.org/0000-0003-0116-7411
Coautor(es):
• Nathália Miguel Teixeira Santana - Santana, N.M.T - <nathalia.miguel@hotmail.com>ORCID: https://orcid.org/0000-0003-0160-7659
• Taísa Sabrina Silva Pereira - Pereira, T.S.S - <taisa.sabrina@hotmail.com>
ORCID: https://orcid.org/0000-0002-5922-7424
• Alexandra Dias Moreira - Moreira, A.D - <alexandradm84@gmail.com>
ORCID: https://orcid.org/0000-0002-4477-5241
• Isabela Judith Martins Benseñor - Benseñor, I.J.M - <isabensenor@gmail.com>
ORCID: https://orcid.org/0000-0001-6889-7334
• Sandhi Maria Barreto - Barreto, S. M - <sandhi.barreto@gmail.com>
ORCID: https://orcid.org/0000-0001-7383-7811
• Gustavo Velasquez-Melendez - Velasquez-Melendez, . G. - <jguveme@gmail.com>
ORCID: https://orcid.org/0000-0001-8349-5042
• Maria del Carmen Bisi Molina - Molina, M.C.B. - Vitória, ES - <mdmolina@uol.com.br>
ORCID: https://orcid.org/0000-0002-8614-988X
Resumo:
Objetiva-se descrever o consumo de bebidas alcoólicas e não alcoólicas segundo variáveis sociodemográficas, de saúde e localização. Estudo transversal com dados do ELSA-Brasil (2008-10). Aplicou-se questionário para coleta de dados sociodemográficos, de alimentação, saúde, além de antropometria. Realizou-se análise descritiva e associação com variáveis de interesse. Na amostra, 8% do valor calórico total é proveniente de bebidas não alcoólicas (5,6%: bebidas açucaradas), e 4% de bebidas alcoólicas (2,7%: cerveja). Os consumidores de bebidas não adoçadas e adoçadas artificialmente realizam atividade física moderada/forte, são ex-fumantes e apresentam escolaridade alta. O oposto foi verificado para as bebidas açucaradas. Indivíduos eutróficos relataram maior consumo de bebidas açucaradas e os obesos, as adoçadas artificialmente e cerveja. O consumo de bebidas alcoólicas variou com a idade (jovens: cerveja; idosos: vinho/destiladas) e escolaridade (baixa: cerveja/destiladas; alta: vinho). Café, suco natural e refrigerante foram as bebidas não alcoólicas mais consumidas e a cerveja a alcoólica mais prevalente. Observou-se variação de consumo segundo a localização geográfica. O consumo de bebidas açucaradas e alcoólicas é alto no Brasil e estratégias de saúde pública são necessárias.Palavras-chave:
Refrigerantes, Suco de frutas, Adoçantes artificiais, Bebidas alcoólicasAbstract:
The study aims to describe the consumption of alcoholic and non-alcoholic beverages according to sociodemographic, health and location variables. Cross-sectional study with ELSA-Brasil data (2008-10). A questionnaire was used to collect sociodemographic, food, health data and anthropometry. Descriptive analysis and association with variables of interest were carried out. In the sample, 8% of the total caloric value comes from non-alcoholic beverages (5.6%: sugary drinks), and 4% from alcoholic beverages (2.7%: beer). Consumers of unsweetened and artificially sweetened beverages reported moderate/strong physical activity, former smokers and higher education. The opposite was true for sugary drinks. Eutrophic people reported higher consumption of sugary drinks and those obese, artificially sweetened and beer. Alcohol consumption varied with age (young: beer; elderly: wine/spirits) and education (low education: beer/spirits; higher education: wine). Coffee, natural juice and soda were the most consumed non-alcoholic beverages and beer was the most prevalent alcoholic beverage. Consumption variation was observed according to geographic location. The consumption of sugary and alcoholic beverages is high in Brazil and public health strategies are required.Keywords:
Soft drinks, Fruit juices, Artificial sweeteners, Alcoholic beverageConteúdo:
Acessar Revista no ScieloOutros idiomas:
Consumption of alcoholic and non-alcoholic beverages: ELSA-Brasil results
Resumo (abstract):
The study aims to describe the consumption of alcoholic and non-alcoholic beverages according to sociodemographic, health and location variables. Cross-sectional study with ELSA-Brasil data (2008-10). A questionnaire was used to collect sociodemographic, food, health data and anthropometry. Descriptive analysis and association with variables of interest were carried out. In the sample, 8% of the total caloric value comes from non-alcoholic beverages (5.6%: sugary drinks), and 4% from alcoholic beverages (2.7%: beer). Consumers of unsweetened and artificially sweetened beverages reported moderate/strong physical activity, former smokers and higher education. The opposite was true for sugary drinks. Eutrophic people reported higher consumption of sugary drinks and those obese, artificially sweetened and beer. Alcohol consumption varied with age (young: beer; elderly: wine/spirits) and education (low education: beer/spirits; higher education: wine). Coffee, natural juice and soda were the most consumed non-alcoholic beverages and beer was the most prevalent alcoholic beverage. Consumption variation was observed according to geographic location. The consumption of sugary and alcoholic beverages is high in Brazil and public health strategies are required.Palavras-chave (keywords):
Soft drinks, Fruit juices, Artificial sweeteners, Alcoholic beverageLer versão inglês (english version)
Conteúdo (article):
Consumption of alcoholic and non-alcoholic beverages: ELSA-Brasil resultsJordana Herzog Siqueira1 (jordana.herzog@gmail.com - https://orcid.org/0000-0003-0116-7411)
Nathália Miguel Teixeira Santana2 (nathalia.miguel@hotmail.com - https://orcid.org/0000-0003-0160-7659)
Taísa Sabrina Silva Pereira3 (taisa.sabrina@hotmail.com - https://orcid.org/0000-0002-5922-7424)
Alexandra Dias Moreira4 (alexandradm84@gmail.com - https://orcid.org/0000-0002-4477-5241)
Isabela Martins Benseñor5 (isabensenor@hu.usp.br - https://orcid.org/0000-0002-6723-5678)
Sandhi Maria Barreto6 (sandhi.barreto@gmail.com - https://orcid.org/0000-0001-7383-7811)
Gustavo Velasquez - Melendez4 (guveme@ufmg.br - https://orcid.org/0000-0001-8349-5042) Maria del Carmen Bisi Molina1 (mdcarmen2007@gmail.com - http://orcid.org/0000-0002-8614-988X.)
1 Programa de Pós-Graduação em Saúde Coletiva. Universidade Federal do Espírito Santo. Vitória, Espírito Santo, Brasil.
2 Instituto Federal de Educação, Ciência e Tecnologia de São Paulo. São Paulo, São Paulo, Brasil.
3 Departamento de Ciências da Saúde. Universidad de las Américas Puebla. San Andrés Cholula, Cholula, México.
4 Escola de Enfermagem, Departamento de Enfermagem Materno-Infantil e Saúde Pública. Universidade Federal de Minas Gerais. Belo Horizonte, Minas Gerais, Brasil.
5 Departamento de Clínica Médica da Faculdade de Medicina. Universidade de São Paulo. Cidade Universitária – Butantã, São Paulo, Brasil.
6 Faculdade de Medicina, Departamento de Medicina Preventiva e Social. Universidade Federal de Minas Gerais. Belo Horizonte, Minas Gerais, Brasil.
Resumo
Objetiva-se descrever o consumo de bebidas alcoólicas e não alcoólicas segundo variáveis sociodemográficas, de saúde e localização. Estudo transversal com dados do ELSA-Brasil (2008-10). Aplicou-se questionário para coleta de dados sociodemográficos, de alimentação, saúde, além de antropometria. Realizou-se análise descritiva e associação com variáveis de interesse. Na amostra, 8% do valor calórico total é proveniente de bebidas não alcoólicas (5,6%: bebidas açucaradas), e 4% de bebidas alcoólicas (2,7%: cerveja). Os consumidores de bebidas não adoçadas e adoçadas artificialmente realizam atividade física moderada/forte, são ex-fumantes e apresentam escolaridade alta. O oposto foi verificado para as bebidas açucaradas. Indivíduos eutróficos relataram maior consumo de bebidas açucaradas e os obesos, as adoçadas artificialmente e cerveja. O consumo de bebidas alcoólicas variou com a idade (jovens: cerveja; idosos: vinho/destiladas) e escolaridade (baixa: cerveja/destiladas; alta: vinho). Café, suco natural e refrigerante foram as bebidas não alcoólicas mais consumidas e a cerveja a alcoólica mais prevalente. Observou-se variação de consumo segundo a localização geográfica. O consumo de bebidas açucaradas e alcoólicas é alto no Brasil e estratégias de saúde pública são necessárias.
Palavras-chave: Refrigerantes, Suco de frutas, Adoçantes Artificiais, Bebidas Alcoólicas
Abstract
The study aims to describe the consumption of alcoholic and non-alcoholic beverages according to sociodemographic, health and location variables. Cross-sectional study with ELSA-Brasil data (2008-10). A questionnaire was used to collect sociodemographic, food, health data and anthropometry. Descriptive analysis and association with variables of interest were carried out. In the sample, 8% of the total caloric value comes from non-alcoholic beverages (5.6%: sugary drinks), and 4% from alcoholic beverages (2.7%: beer). Consumers of unsweetened and artificially sweetened beverages reported moderate/strong physical activity, former smokers and higher education. The opposite was true for sugary drinks. Eutrophic people reported higher consumption of sugary drinks and those obese, artificially sweetened and beer. Alcohol consumption varied with age (young: beer; elderly: wine/spirits) and education (low education: beer/spirits; higher education: wine). Coffee, natural juice and soda were the most consumed non-alcoholic beverages and beer was the most prevalent alcoholic beverage. Consumption variation was observed according to geographic location. The consumption of sugary and alcoholic beverages is high in Brazil and public health strategies are required.
Key words: Soft Drinks, Fruit Juices, Artificial Sweeteners, Alcoholic Beverages
Introduction
Changes in dietary patterns, such as increased consumption of unhealthy and highly processed industrialized foods1, represent an important contribution to adverse health outcomes2. In addition, increased consumption of beverages with high energy density such as sugary drinks, in several countries, have also contributed to the high prevalence of chronic non-communicable diseases (NCD)2,3. Excessive alcohol consumption unquestionably leads to increased morbidity and mortality due to NCD, but the effects of moderate consumption of different alcoholic beverages on the cardiovascular system are still controversial4. If, on the one hand, there is consolidated evidence that the high consumption of sugary and alcoholic beverages increases the risk of cardiovascular diseases, on the other hand, there are still gaps in knowledge in relation to artificially sweetened ones5.
Four population surveys carried out between 1987-88 and 2008-09 showed greater acquisition of processed foods and beverages at the expense of fresh and minimally processed foods1. The household availability of soft drinks in Brazilian metropolitan areas increased by 500% between 1974-75 and 2002-03, corresponding to an increase of 0.4% to 2.1% of the total calories consumed daily, with this consumption remaining stable in the most recent survey 2008-096,7. The consumption of these beverages has been widely studied as a potential risk factor for several health problems.
Recent systematic reviews and meta-analyses indicate that the consumption of sugar-sweetened drinks is associated with weight gain8, the risk of type 2 diabetes9 and coronary heart disease10. Still, studies involving the consumption of artificially sweetened drinks are controversial and inconsistent. Although a positive association has already been identified between these beverages and cardiometabolic disorders, the current evidence is still limited, and their consumption does not seem to be a healthy alternative to sugar-sweetened drinks5,9.
With regard to alcoholic beverages, Brazil exceeds the average annual consumption of pure alcohol per inhabitant of the American continent11 and the household availability of these beverages, especially beer, has doubled since the 1980s6,7. The main active ingredient of any alcoholic beverage is ethanol, and most evidence indicates that this compound is the main factor that can confer health benefits and cause toxicity, depending on the pattern of consumption and dosage12,13. The relationship between its excessive consumption and cardiovascular diseases14 is widely established, although the beneficial effects of moderate consumption remain debated, since results of meta-analyses15,16 and analysis of ten cohorts of the English population17 showed no significant effects or no protective effect on cardiovascular outcomes. A recent meta-analysis showed that, in men, any amount of alcohol is associated with an elevated risk of hypertension18, but there are still questions about the differential effect related to a certain type of alcoholic drink14. Although there is no consensus, a literature review has shown that low and moderate wine consumption has a cardioprotective effect, since it is inversely correlated with ischemic heart disease19.
In view of the above, additional caloric consumption and alcohol content from these beverages can play an important role in increasing the incidence of cardiometabolic disorders8,14. The literature on the consumption of industrialized beverages in Brazil is not extensive and the surveys carried out use different methodologies. In Brazil, Household Budget Surveys (POF – Pesquisa de Orçamentos Familiares) are being carried out in metropolitan areas and through them the secular trend of household availability of food/beverages has been assessed. POF 2012-2013 is based on household expenses that probably underestimate general individual consumption, since it excludes food outside the home, an important source of industrialized beverages20. The Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL), carried out on probabilistic samples of the adult population with fixed telephony in Brazilian capitals and the Federal District, presents a questionnaire with questions about food consumption, however it is not is validated in all Brazilian regions21,22.
Thus, new data on the consumption of beverages in large samples of the Brazilian population are needed to assist public food policies. Therefore, this study aims to assess the consumption of alcoholic and non-alcoholic beverages in participants of the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) according to sociodemographic, health and study location variables.
Methods
Study design and participants
This is a cross-sectional study conducted from the baseline of ELSA-Brasil (2008-2010), composed of 15,105 active or retired employees of both sexes, aged between 35 and 74 years, from six public institutions of higher education and national research (USP, UFMG, UFBA, UFRGS, UFES and FIOCRUZ). Participants with missing data and those with non-plausible dietary data (<500Kcal/day and ≥6000Kcal/day) were excluded from this analysis.
The main objective of ELSA-Brasil is to investigate the incidence and determinants of NCD in the Brazilian population, and the general characteristics of the baseline of this cohort have been previously published23. ELSA-Brasil was approved by the National Research Ethics Commission (CONEP - 976/2006) and by the research ethics committee of each institution. All participants signed the Informed Consent Form.
Data collection
Participants were contacted for exams and questionnaires at each Research Center (RC). General information on the measurement of clinical examinations, as well as on the questionnaire applied in person to collect sociodemographic, health and lifestyle data is available in a previous publication24. All RCs received centralized training to maintain quality control in data collection. Interviewers and gaugers were also certified and recertified every six months.
Sociodemographic data, health status and lifestyle, including the consumption of alcoholic and non-alcoholic beverages, were collected during an interview. The race/color variable was self-reported and categorized as white and non-white (black, brown, Asian-descendant and indigenous); age was categorized into four groups (35-44; 45-54; 55-64; 65-74); the level of education was categorized as elementary (≤8 years of study), medium (9-11 years of study) and higher/graduate (≥12 years of study); smoking was categorized as never, former smoker and current smoker; family income per capita was calculated and analyzed in Brazilian reais. Physical activity was estimated using the International Physical Activity Questionnaire (IPAQ) long version, in the domains of leisure time physical activity (AFTL) and displacement physical activity (AFDL). The instrument was validated in Brazil and consists of questions related to the frequency, duration and intensity (AFTL: walking, moderate and vigorous; AFDL: walking, cycling) of physical activities25. The pattern of physical activity, in its different domains, was reported in minutes/week, consisting of multiplying the weekly frequency by the duration of each of the activities performed. Physical activity was considered to be that done with a minimum duration of 10 minutes/week. The variable was later categorized as low, moderate and strong.
Anthropometric measurements
Body measurements (weight and height) were measured according to standardized procedures. An electronic scale was used, with a capacity of 200kg and precision of 50g. Height was measured using a wall stadiometer with a precision of 1mm, with the individual in a vertical position, barefoot, supporting the head, buttocks and heels on the wall, keeping the gaze horizontally. Height was checked during the inspiratory period of the respiratory cycle. The Body Mass Index (BMI) was calculated with the weight divided by the height raised to the second power. The individuals were classified as eutrophic (≤24.9 kg/m²), overweight (25 to 29.9 kg/m²) and obese (> 30 kg/m²)26.
Assessment of consumption of alcoholic and non-alcoholic beverages
To assess the consumption of alcoholic beverages (beer, wine, spirits - cachaça, whiskey and vodka) and non-alcoholic beverages (soda, coffee, natural juice, industrialized juice, artificial juice, mate tea, chimarrão and coconut water), participants used a semi-quantitative Food Frequency Questionnaire (FFQ), with 114 food items, validated by Molina et al.27, with the objective of estimating the usual dietary consumption in the last twelve months.
The FFQ is structured in: 1. Food/preparations; 2. Measures of consumption portions; 3. Frequencies of consumption, with eight response options, ranging from “More than 3x/day” to “Never/Almost Never”; 4. Seasonal consumption for individuals who reported spontaneously consuming the food item only at a certain time of the year or in the season. The list of food and beverages was read by ELSA-Brasil interviewers to the participants, who were asked to respond about their usual consumption in the last twelve months, in daily, weekly and monthly consumption frequencies. A kit of utensils was used during the administration of the FFQ, to help estimate the amount of food, preparations and beverages consumed.
Regarding non-alcoholic beverages natural juice (fruit or pulp), industrialized juice (box or bottle), artificial juice (powder), coffee and mate tea, the participant had three response options: with sugar, without sugar or with artificial sweetener. Regarding soda, the participant had two answer options: with sugar or with sweetener. Finally, coconut water and chimarrão were considered in their natural versions, that is, without added sugar. Regarding alcoholic beverages, it was asked about the consumption of spirits (cachaça, whiskey or vodka), beer and wine (white or red).
The beverages were divided into two groups: alcoholic and non-alcoholic. Alcoholic beverages were presented separately (beer, wine and spirits) and as the sum of all drinks. Non-alcoholic beverages were presented separately (each beverage considering the versions with sugar, without sugar and with artificial sweetener) and also in three groups: sweetened with sugar, unsweetened and artificially sweetened. All beverages were analyzed in ml/day and kcal/day.
The Nutrition Data System for Research (NDSR) software was used to analyze the consumption referred to in the FFQ. The extreme consumption values (above the 99th percentile) were replaced by the exact 99th percentile. In addition, when the participant voluntarily mentioned the seasonal consumption of some food or beverage, the total daily consumption value of that food was multiplied by 0.25 (considered as present in ¼ of the year).
Statistical analysis
The data were analyzed using the Statistical Package for the Social Sciences - SPSS 18.0 software. Descriptive analysis was conducted to identify the consumption profile of alcoholic and non-alcoholic beverages of the participants, and then consumption was analyzed according to socioeconomic, health and location variables (RC). From the total caloric value obtained by reporting the food items of the FFQ, the caloric contribution of each type of beverage was evaluated. The variables were presented as proportions, means (SD) or medians. For continuous variables, the Student’s t-test and ANOVA were used. For categorical variables, the chi-square test was used. The level of significance was set at p <0.05.
Results
The final sample consisted of 14,224 individuals with an average age of 52.1±9.1 years. Significant differences were found between genders according to sociodemographic, health and total calorie variables (Table 1). Most of the sample was represented by women (55%), with higher education (53.5%), overweight (40.4%), who practice weak physical activity (76.9%) and who never smoked (57.2%). The average caloric intake was 2,291 ± 778 Kcal/day.
The consumption of non-alcoholic beverages differed in relation to sociodemographic and health variables (Table 2). Higher average consumption of non-sweetened and artificially sweetened beverages was observed in women, older age, white, with higher education/postgraduate education and who reported engaging in moderate/strong physical activity and being former smokers (p <0.001). The opposite was found for sugar-sweetened drinks (p <0.001). In addition, eutrophic individuals reported higher consumption of sugar-sweetened drinks (p <0.001) and obese individuals, higher consumption of artificially sweetened drinks (p <0.001).
Regarding alcoholic beverages, consumption was higher among men (p <0.001) (Table 2). The consumption of these beverages varied with age (young people consumed more beer and older people more wine and spirits), education level (those with elementary education used more beer and spirits, while wine was more consumed by individuals with higher education), race/color (beer was mostly consumed by non-whites and wine by whites) (p <0.001). Overweight participants consumed more beer (p <0.001). The nutritional status did not differ according to the consumption of wine and spirits beverages. Higher averages of beer consumption were observed in individuals who practiced low physical activity (p <0.001) and greater consumption of wine was observed in individuals who engaged in moderate/strong physical activities (p <0.001). Smokers reported higher consumption of beer (p <0.001) and spirits (p <0.001), while former smokers reported higher consumption of wine (p <0.001).
Table 3 shows the consumption of alcoholic and non-alcoholic beverages according to geographic location (RC). The three most consumed non-alcoholic beverages were coffee (148±125 ml/day), natural juice (138±194 ml/day) and soda (99±183 ml/day), and in both the consumption was higher in the sugar-sweetened version. The consumption of some drinks is higher in some RCs, such as: chimarrão in Rio Grande do Sul and mate tea in Rio de Janeiro and Rio Grande do Sul. The consumption of coconut water is more common in coastal regions, such as Espírito Santo, Bahia and Rio de Janeiro.
The percentage of caloric contribution was 5.6% for sugar-sweetened drinks and 4% for alcoholic beverages, with small variations according to the RC (Figure 1). Table 4 shows the means (kcal/day) and percentage of contribution of beverages to total caloric consumption according to sex. The calorie consumption of sugar-sweetened drinks and alcoholic beverages was higher in men (p <0.001) and of artificially sweetened drinks was higher in women (p <0.001). The daily contribution of unsweetened and artificially sweetened beverages to total caloric intake was higher in women (p <0.001). The daily contribution of beer and spirits to total caloric intake was higher in men (p <0.001). Probably, the differences found in the analyses in relation to the averages in calories and percentage of caloric contribution by sex is due to the higher total caloric consumption among males. We can also observe that 8% of the total caloric value consumed comes from non-alcoholic beverages and 4% from alcoholic beverages.
Discussion
In the sample studied, 8% of the total caloric value consumed comes from non-alcoholic drinks (5.6% from sugar-sweetened drinks), and 4% from alcoholic drinks (2.7% from beer). Consumers of non-sweetened and artificially sweetened beverages reported engaging in moderate/strong physical activity, being former smokers and having higher schooling. The opposite was found for sugar-sweetened drinks. Regarding nutritional status, eutrophic individuals reported higher consumption of sugar-sweetened drinks and obese individuals, artificially sweetened drinks and beer. The consumption of alcoholic beverages varied with age (young people: beer; elderly people: wine/spirits) and education (low education: beer/spirits; higher education: wine). The most consumed non-alcoholic beverages were coffee, natural juice and soft drinks, all three in the sugar-sweetened version. Regarding alcoholic beverages, beer was the most prevalent. The consumption of some beverages varied according to geographic location.
The results found confirm the differentiated profile of consumption of beverages according to the five regions of Brazil, such as chimarrão, mate tea and coconut water, considering the climatic and cultural influences. A study carried out with data from the National Dietary Survey (INA - Inquérito Nacional de Alimentação), in a probabilistic sample from the POF (2008-09), showed that the Brazilian basic diet, in relation to beverages, is characterized by the intake of coffee, juices and soft drinks, and two foods are markedly for regional consumption, one being tea in the south of the country28. In addition, greater coffee intake was observed in the north and northeast of the country28, corroborating with the data from the present study that found higher consumption averages in the Bahia RC. The lowest averages of beer consumption were observed in the Rio Grande do Sul RC, while it presents the highest average consumption of wine and chimarrão, known as more convenient options for the regional climate and culture.
According to the POF (2008/09), the average consumption of soft drinks in Brazilian adults was approximately 100 ml/day6, a value close to that found in this study. In the United States and United Kingdom, the average consumption of soft drinks is higher, around 284 ml/day and 114 ml/day, respectively9. POF (2008/09) analyses also showed that alcoholic and non-alcoholic beverages contribute about 17% to total energy consumption3. In this sample, the contribution of these beverages was slightly lower, around 12%.
It is well documented that men have a higher intake of alcoholic beverages than women and that habitual consumption is higher in individuals with higher education29. The INA (2008-09) showed a higher prevalence of soft drink intake in men and in the highest income quartile28, as did VIGITEL, which also found a higher consumption of soft drinks among men with higher education during the period evaluated (2007-16)30. In our study, the average consumption of sugary and alcoholic beverages was higher in men and in individuals with less education (except for wine). We observed that in individuals with higher education, the consumption of non-sweetened drinks, those artificially sweetened and wine is higher. Artificial sweeteners are marketed as an alternative for weight loss because they do not add calories, although studies have already indicated changes in the microbiota and glucose homeostasis31. The consumption of wine, a drink generally with a higher price, has been associated with a better quality of life and cardioprotective benefits32.
Meta-analysis showed the effect of consuming sugar-sweetened drinks on weight gain and cardiometabolic risk, particularly type 2 diabetes, in various parts of the world, including low and middle income countries8. There is evidence that weight gain occurs due to the positive energy balance, since there is a decrease in satiety and incomplete compensatory reduction in energy consumption in subsequent meals after the intake of calories from liquids33, in addition to the high glycemic load in the diet being associated with insulin resistance34. High energy density beverages (excluding alcoholic and dairy products) provide almost half of the total sugar in the Brazilian diet, reinforcing the need for greater control over the consumption of these beverages35. Therefore, the consumption of sugar-sweetened drinks has become an important source for increasing energy intake and its deleterious effects are widely highlighted in the literature.
High alcohol consumption is also associated with cardiometabolic disorders, since it can lead to endothelial dysfunction, an early indicator of vascular damage14. According to the National Health Survey (2013)29, alcohol consumption was higher among younger people, with higher education and white race. In the present study, it was possible to observe that beer consumption was higher among younger people and those with lower education; that of wine among older and more educated individuals; and that the highest consumption of alcoholic beverages was observed among whites. It is important to highlight that the use of alcohol in Brazil is the fourth risk factor for the global burden of disease36 and the rapid growth of beer sales in the last decade, increases concern about over-consumption37.
We observed in this study that obese individuals reported a higher consumption of artificially sweetened beverages, probably as a way to add less calories to the diet, and that although the intake of alcoholic beverages by overweight individuals is higher than that of eutrophic individuals, it is below the daily recommendation proposed by WHO38. It is important to highlight that alcohol intake is a common practice worldwide and is rooted in the social environment39, however the WHO defines as moderate consumption the daily intake of one dose (10 to 15 grams of ethanol) for women and two doses for men (from 20 to 30 grams of ethanol), which corresponds to approximately 350 ml of beer38. Current evidence indicates that light to moderate alcohol intake is less likely to be a risk factor for adiposity than excessive consumption40 and that the intake of daily doses above the recommended level represents health risks38.
Sugar-sweetened drinks are associated with weight gain and cardiometabolic disorders, and there has been a greater choice for other alternatives, such as artificially sweetened beverages and fruit juices5. A recent systematic review and meta-analysis shows that the habitual consumption of sugar-sweetened drinks increases the risk of type 2 diabetes regardless of adiposity, and artificially sweetened drinks and fruit juice do not decrease the risk of such injury and, therefore, cannot be considered healthy options9. These findings are probably related to the high glycemic index (soft drinks) and moderate one (juices) associated with type 2 diabetes41; the high fructose content associated with insulin resistance42; in addition to the deleterious effects of caffeine43, phosphoric acid and dyes44.
It is worth pointing out that the potential benefits of consuming non-calorie drinks will not be achieved if the intake is accompanied by a compensatory increase in energy intake from other food sources5. Thus, we have shown in the present study that the consumption of non-sweetened and artificially sweetened beverages was associated with the practice of more vigorous physical activity and that eutrophic individuals consumed more sugar-sweetened drinks, while the obese presented greater consumption of artificially sweetened beverages. Thus, we can see that, under these conditions, sugar-sweetened drinks may be being replaced by artificially sweetened ones because they have fewer calories and, therefore, appear to be healthier options. However, even though studies in this area are consolidating in the literature, studies already show that the high consumption of artificial sweeteners can contribute to the increased risk of obesity and negative health effects45, in addition to increasing the risk of stroke46. We also observed that individuals who practice low physical activity and current smokers made greater use of sugar-sweetened drinks, adding another component to the less healthy lifestyle.
Although POF data since the 1980s showed an increase in household soft drink availability until 2002-03 and stability in 2008-096,7, a study by VIGITEL found a significant reduction in regular consumption (≥ 5 days/week) of soft drinks and artificial juices from 30.9% to 16.5% during the years analyzed (2007-16), although one in six adults (16.5%) reported daily consumption30. These data, however, need to be interpreted with caution, since, despite the downward trend observed in the period, health risks cannot yet be considered to be overcome, since in 2016 almost 26 million Brazilian adults consumed sugar-sweetened drinks almost daily or even every day30. The methodological differences between the POF and VIGITEL make the comparison of data delicate, but they contribute to the discussion of the topic. There are still no published studies that endorse this declining trend as of 2007, considering that the last national population-based survey was carried out in 2008-09.
At the same time, it is important to highlight that the growth of the food processing industry, the inclusion of transnational companies in parallel with the expansion of supermarkets has been rapidly diversifying the options of drinks with high energy density in Brazil47. The consumption of these beverages in the country follows the trends of increasing excess weight, since the percentage of Brazilian adults with excess weight increased from 24% (1974-75) to 49% (2008-09)48. In the present study, overweight exceeds 60%. In this context, one of the main targets for rapidly improving public health has been the taxation of processed foods and beverages49.
The search for strategies to reduce or slow the expansion of consumption of industrialized products is essential. It is already proven that the taxation of soft drinks in Brazil would lead to reductions in consumption50. In 2017, the Minister of Health in Brazil, in an informal note, reported being in favor of adopting a tax on sugar-sweetened drinks, but no initiative was observed. Thus, in Brazil, there are no advances in the taxation of sugar-sweetened drinks and there is also no progress in the regulation of advertising of food and beverages, despite the fact that the country has made a commitment to reduce obesity and the Pan American Health Organization consumption of sugar-sweetened drinks by 201951.
Brazil is one of the signatories to the Global Strategy to Reduce Harmful Use of Alcohol52, approved by the World Health Assembly, which brings some aspects and recommendations also present in the National Alcohol Plan53 and in the prohibition on drinking and driving54. However, when analyzing the public policies adopted, with regard to the reduction of harmful use of alcohol, it is observed that measures such as the restriction of marketing, sponsorship and promotions and increase in prices and sales limits55 are not being adopted in Brazil.
ELSA-Brasil is not a representative study of the Brazilian population, but it portrays a portion of the population, which by the results found, does not differ much from the general population. The FFQ is the most suitable instrument for epidemiological studies, but it presents as a limitation the possibility of overestimating food consumption. This issue is frequently reported, but it was possible to minimize it with greater quality control in data collection and exclusion of participants who reported implausible intake values. However, the methodological aspects of this study reinforce its internal validity, such as the standardization of data collection, the consolidated procedures for conducting the interview, measurement of anthropometric measures and periodic training in all RCs. Although the Brazilian surveys that investigated food consumption have strengths (representativeness of the Brazilian population), they also have limitations. ELSA-Brasil is carried out with a large sample of civil servants from three Brazilian regions and used a collection instrument that allows greater detail of food consumption, as it reflects habitual consumption.
Finally, the consumption of sugary-sweetened and alcoholic beverages is high in Brazil and there is already evidence that public health strategies discourage the consumption of these beverages as part of a healthy lifestyle. Food guidelines, inspection policies and taxation of processed foods are necessary to reduce and prevent diseases related to overweight, in addition to improving the population\'s food consumption.
Acknowledgment
To ELSA-Brasil employees and participants for their important contributions. To professor José Geraldo Mill for contributions in the article. JH Siqueira received a scholarship from the Espírito Santo Research and Innovation Foundation (FAPES) / Coordination for the Improvement of Higher Education Personnel (CAPES). MCB Molina has a National Council for Scientific and Technological Development (CNPq) productivity grant.
References
1. Martins APB, Levy RB, Claro RM, Moubarac JC, Monteiro, CA. Participação crescente de produtos ultraprocessados na dieta brasileira (1987-2009). Rev Saúde Pública 2013; 47(4),656-65.
2. Monteiro CA, Cannon G. The impact of transnational "big food" companies on the South: a view from Brazil. PLoS Med 2012; 9(7):e1001252.
3. Pereira RA, Souza AM, Duffey KJ, Sichieri R, Popkin BM. Beverage consumption in Brazil: Results from the first National Dietary Survey. Public Health Nutr 2015; 18(7):1164-72.
4. Chiva-Blanch G, Arranz S, Lamuela-Raventos RM, Estruch R. Effects of wine, alcohol and polyphenols on cardiovascular disease risk factors: evidences from human studies. Alcohol Alcohol 2013; 48(3):270-7.
5. Johnson RK, Lichtenstein AH, Anderson CAM, Carson JA, Després JP, Hu FB, Kris-Etherton PM, Otten JJ, Towfighi A, Wylie-Rosett J; American Heart Association Nutrition Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Cardiovascular and Stroke Nursing; Council on Clinical Cardiology; Council on Quality of Care and Outcomes Research; and Stroke Council. Low-Calorie Sweetened Beverages and Cardiometabolic Health: A Science Advisory From the American Heart Association. Circulation 2018; 138:e126–e140.
6. Brasil. Ministério do Planejamento, Orçamento e Gestão, Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008–2009 - Avaliação Nutricional da Disponibilidade Domiciliar de Alimentos no Brasil; IBGE: Rio de Janeiro, Brasil, 2010.
7. Levy-Costa RB, Sichieri R, Pontes NS, Monteiro CA. Household food availability in Brazil: distribution and trends (1974-2003). Rev Saúde Pública 2005; 39(4)530-540.
8. Malik VS, Popkin BM, Bray GA, Després JP, Hu FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010; 121(11):1356-64.
9. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. 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. BMJ 2015;351:h3576.
10. Temple NJ. Fat, Sugar, Whole Grains and Heart Disease: 50 Years of Confusion. Nutrients 2018; 10(39):1-9.
11. World Health Organization (WHO). Global Status Report on Alcohol and Health 2014. Geneva: WHO; 2014.
12. Mukamal KJ, Jensen MK, Grønbaek M, Stampfer MJ, Manson JE, Pischon T, Rimm EB. Drinking frequency, mediating biomarkers, and risk of myocardial infarction in women and men. Circulation 2005; 112:1406–1413.
13. Krenz M, Korthuis RJ. Moderate ethanol ingestion and cardiovascular protection: from epidemiologic associations to cellular mechanisms. J Mol Cell Cardiol 2012; 52:93–104.
14. Piano MR. Alcohol’s Effects on the Cardiovascular System. Alcohol Res 2017; 38(2): 219–241.
15. Global Burden of Disease Study 2016 Alcohol Collaborators. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2018; 392(22):1015-1035.
16. Stockwell T, Zhao J, Panwar S, Roemer A, Naimi T, Chikritzhs T. Do ‘moderate’ drinkers have reduced mortality risk? A systematic review and meta-analysis of alcohol consumption and all-cause mortality. J Stud Alcohol Drugs 2016; 77(2):185-198.
17. Knott CS, Coombs N, Stamatakis E, Biddulph JP. All cause mortality and the case for age specific alcohol consumption guidelines: pooled analyses of up to 10 population based cohorts. BMJ 2015;350:h384.
18. Roerecke M, Tobe SW, Kaczorowski J, Bacon SL, Vafaei A, Hasan OSM, Krishnan RJ, Raifu AO, Rehm J. Sex-Specific Associations Between Alcohol Consumption and Incidence of Hypertension: A Systematic Review and Meta-Analysis of Cohort Studies. J Am Heart Assoc 2018; 7(13):e008202.
19. Haseeb S, Alexander B, Baranchuk A. Wine and Cardiovascular Health: A Comprehensive Review. Circulation 2017; 136(15):1434-1448.
20. Bezerra IN, Souza AM, Pereira RA, Sichieri R. Consumo de alimentos fora de casa no Brasil. Rev Saude Publica 2013;47 Suppl 1:200S-11S.
21. Monteiro CA, Moura EC, Jaime PC, Claro RM. Validade de indicadores do consumo de alimentos e bebidas obtidos por inquérito telefônico. Rev Saude Publica 2008; 42:582-9.
22. Neves ACM, Gonzaga LAA, Martens IBG, Moura EC. Validação de indicadores do consumo de alimentos e bebidas obtidos por inquérito telefônico em Belém, Pará, Brasil. Cad Saúde Pública 2010; 26(12):2379-2388.
23. Schmidt MI, Duncan BB, Mill JG, Lotufo PA, Chor D, Barreto SM, Aquino EM, Passos VM, Matos SM, Molina MC, Carvalho MS, Bensenor IM. Cohort Profile: Longitudinal Study of Adult Health (ELSA-Brasil). Int J Epidemiol 2015; 44(1):68-75.
24. Mill JG, Pinto K, Griep RH, Goulart A, Foppa M, Lotufo PA, Maestri MK, Ribeiro AL, Andreão RV, Dantas EM, Oliveira I, Fuchs SC, Cunha RS, Bensenor IM. Medical assessments and measurements in ELSA-Brasil. Rev Saúde Publica 2013; 47 Suppl 2:54-62.
25. Matsudo S, Araujo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, Braggion G. International Physical Activity Questionnaire (IPAQ): Study of validity and reliability in Brazil. Rev Bras Ativ Fís Saúde 2011;6(2):5-18.
26. World Health Organization (WHO). Obesity: preventing and managing the global epidemic: report of a WHO consultation. World Health Organization: 2000.
27. Molina MCB, Benseñor I, Cardoso LO, Velasquez-Melendez G, Drehmer M, Pereira TSS, Faria CP, Melere C, Manato L, Gomes ALC; Fonseca MJM; Sichieri R. Reprodutibilidade e validade relativa do questionário de frequência alimentar do ELSA-Brasil. Cad Saúde Pública 2013;29(2):379-389.
28. Souza AM, Pereira RA, Yokoo EM, Levy RB, Sichieri R. Alimentos mais consumidos no Brasil: Inquérito Nacional de Alimentação 2008-2009. Rev Saúde Pública 2013;47Suppl 1:190S-9S.
29. Machado IE, Monteiro MG, Malta DC, Lana FCF. Brazilian Health Survey (2013): relation between alcohol use and sociodemographic characteristics by sex in Brazil. Rev Bras Epidemiologia 2018; 20(3):408-422.
30. Figueiredo N, Maia EG, Silva LESD, Granado FS, Claro RM. Trends in sweetened beverages consumption among adults in the Brazilian capitals, 2007–2016. Public Health Nutrition 2018; 21(18):3307-3317.
31. Pearlman M, Obert J, Casey L. The Association Between Artificial Sweeteners and Obesity. Curr Gastroenterol Rep 2017; 19(12):64.
32. Fernandes I, Pérez-Gregorio R, Soares S, Mateus N, Freitas V. Wine Flavonoids in Health and Disease Prevention. Molecules 2017; 22(292).
33. DiMeglio DP, Mattes RD. Liquid versus solid carbohydrate: effects on food intake and body weight. Int J Obes Relat Metab Disord 2000;24(6):794-800.
34. Willett W, Manson J, Liu S. Glycemic index, glycemic load, and risk of type 2 diabetes. Am J Clin Nutr. 2002;76(1):274S-80S.
35. Pereira RA, Duffey KJ, Sichieri R, Popkin BM. Sources of excessive saturated fat, trans fat and sugar consumption in Brazil: an analysis of the first Brazilian nationwide individual dietary survey. Public Health Nutr 2014; 17(1):113–121.
36. Institute for Health Metrics and Evaluation. Global Burden of Disease. Country Profiles. Brazil. Seattle: IHME; 2013.
37. Brasil. Economia Brasileira em perspectiva. Brasília: Ministério da Fazenda; 2010.
38. World Health Organization (WHO). International Guide for Monitoring Alcohol Consumption and Related Harm. Geneva: WHO; 2000.
39. Muhlack E, Carter D, Braunack-Mayer A, Morfidis N, Eliott J. Constructions of alcohol consumption by non-problematised middle-aged drinkers: a qualitative systematic review. BMC Public Health 2018; 18(1):1016.
40. Traversy D, Chaput JP. Alcohol Consumption and Obesity: An Update. Curr Obes Rep 2015; 4(1):122–130.
41. Livesey G, Taylor R, Livesey H, Liu S. Is there a dose-response relation of dietary glycemic load to risk of type 2 diabetes? Meta-analysis of prospective cohort studies. Am J Clin Nutr 2013; 97:584–96.
42. Stanhope KL. Role of fructose-containing sugars in the epidemics of obesity and metabolic syndrome. Annu Rev Med 2012; 63:329–43.
43. Bhupathiraju SN, Pan A, Malik VS, Manson JE, Willett WC, van Dam RM, Hu FB. Caffeinated and caffeine-free beverages and risk of type 2 diabetes. Am J Clin Nutr 2013; 97:155–66.
44. Fitzpatrick L, Heaney RP. Got soda? J Bone Miner Metab 2003; 18(9):1570–2.
45. Shearer J, Swithers SE. Artificial sweeteners and metabolic dysregulation: Lessons learned from agriculture and the laboratory. Rev Endocr Metab Disord 2016; 17(2):179-86.
46. Mossavar-Rahmani Y, Kamensky V, Manson JE, Silver B, Rapp SR, Haring B, Beresford SAA, Snetselaar L, Wassertheil-Smoller S. Artificially Sweetened Beverages and Stroke, Coronary Heart Disease, and All-Cause Mortality in the Women\'s Health Initiative. Stroke 2019; 50(3):555-562.
47. Aguiar DRD. The Case of Brazil. Stiegert KW, Kim DH, editors. Structural Changes in Food Retailing: Six Country Case Studies. Madison: Food System Research Group; 2009, p.151.
48. Brasil. Ministério do Planejamento, Orçamento e Gestão, Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008–2009 -Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro; 2010.
49. Rivera JA, Muñoz-Hernández O, Rosas-Peralta M, Aguilar-Salinas CA, Popkin BM, Willett WC. Consumo de bebidas para una vida saludable: recomendaciones para la población mexicana. Salud Publica Mex 2008; 50(2):173-95
50. Claro RM, Levy RB, Popkin BM, Monteiro CA. Sugar-Sweetened Beverage Taxes in Brazil. Am J Public Health 2012; 102(1):178-83.
51. Interministerial Food and Nutrition Security Chamber. Brazil’s Commitments to the United Nations Decade of Action on Nutrition (2016–2025). Brasília, DF: CAISAN. 2015.
52. World Health Organization (WHO). Global strategy to reduce theharmful use of alcohol. Geneva: WHO; 2010.
53. Brasil. Decreto nº 6.117, de 22 de maio de 2007. Aprova a Política Nacional sobre o Álcool, dispõe sobre as medidas para redução do uso indevido de álcool e sua associação com a violência e criminalidade, e dá outras providências. Diário Oficial da União 2007; 23 mai.
54. Brasil. Lei nº 11.705, de 19 de junho de 2008. Altera a Lei no 9.503, de 23 de setembro de 1997, que ‘institui o Código de Trânsito Brasileiro’, e a Lei no 9.294, de 15 de julho de 1996, que dispõe sobre as restrições ao uso e à propaganda de produtos fumígeros, bebidas alcoólicas, medicamentos, terapias e defensivos agrícolas, nos termos do § 4o do art. 220 da Constituição Federal, para inibir o consumo de bebida alcoólica por condutor de veículo automotor, e dá outras providências. Diário Oficial da União 2008; 20 jun.
55. Pan American Health Organization. Regional Status Report on Alcohol and Health in the Americas. Washington, D.C.: PAHO; 2015.