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Young children are the main victims of fast food induced obesity in Brazil


Authors: Paul-Georges Reuter aff001;  Lucas Afonso Barbosa Saraiva aff001;  Lisa Weisslinger aff001;  Carla De Stefano aff001;  Frédéric Adnet aff001;  Frédéric Lapostolle aff001
Authors place of work: SAMU 93—UF Recherche-Enseignement-Qualité, Université Paris, Sorbonne Cité, Inserm U942, Hôpital Avicenne, AP-HP, Bobigny, France aff001
Published in the journal: PLoS ONE 14(10)
Category: Research Article
doi: https://doi.org/10.1371/journal.pone.0224140

Summary

Introduction

Obesity and overweight strongly contribute to increasing cardiovascular morbidity and mortality, and are becoming a worldwide health issue. The prevalence of obesity has increased dramatically in Latin America. Child obesity is a major issue. Fast food is strongly suspected of contributing to this epidemic of obesity, although there is a lack of evidence.

Methods

We studied the correlation between the number of McDonald restaurants and overweight and obesity prevalence by region stratified by gender and age. Data on prevalences were obtained within national studies conducted by the Brazilian Ministry of Health. Three age sub-groups were analyzed: 5 to 9-year-olds, 10 to 19-year-olds and over 19-year-olds.

Results

There was a very strong positive correlation between overweight rates and the number of McDonald restaurants for both males and females between 5 and 9 years old (R2 respectively = 0.92 and 0.84) and a strong positive correlation for females between 10 and 19 years old (R2 = 0.68).

There was a very strong positive correlation between obesity rates and the number of McDonald restaurants for males between 5 and 9 years old (R2 = 0.95). This positive correlation was strong for both males and females between 10 and 19 years old (R2 respectively = 0.77 and 0.63).

Other correlations were not significant.

Conclusion

A strong correlation between the prevalence of overweight and obesity and the number of McDonald restaurants was found for Brazilian children and was most important within the group of youngest children. These results should be taken into consideration by education and prevention campaigns.

Keywords:

Diet – children – obesity – Childhood obesity – Brazil – United States – Global health – Morbid obesity

Introduction

Obesity and overweight strongly contribute to increasing cardiovascular morbidity and mortality, and are becoming a worldwide health issue.[1] Both the number of countries and the proportion of population affected are continuously increasing. In 2016, over 39% of adults were overweight and over 13% had obesity according to the World Health Organization (WHO).[2] However, countries and continents aren’t affected equally. Most affected are western countries. In the United States, one third of the population is affected by obesity. In contrast, in Africa, 13% of adults are overweight and 8% have obesity.

The prevalence of obesity has increased dramatically in Latin America. In Brazil, obesity rates increased from 11.6% in 2006 to 17.4% in 2012.[3] Two populations are particularly affected, women and children.[4,5] Obesity in children is a major issue and is well known to be a predictive factor of adult obesity.[6] It is responsible for specific diseases such as type 2 diabetes mellitus, hypertension, nonalcoholic fatty liver disease, obstructive sleep apnea, and dyslipidemia.[6]

Modern ways of life and especially changes in our eating habits, as well as sedentary lifestyles, have largely contributed to increasing obesity. Fast food is strongly suspected of contributing to this epidemic of obesity. We recently reported a strong correlation between a country’s number of McDonald restaurants and overall obesity rates.[7] Number of McDonald restaurants can be considered a strong indicator of change in local population lifestyles. Children are the main target for these kinds of restaurants. There is no specific evidence of the relation between fast food and childhood obesity.

Due to the crucial issue of child obesity in Brazil, we decided to study the correlation between fast food restaurant presence and obesity–overweight rates in the Brazilian population.

Method

Brazil is geopolitically divided into five macro-regions, each of which has its own economical and sociocultural pattern. These divisions were used as the unit of comparison in our study. The “Pesquisa de Orçamentos Familiares” is a study of nutritional and economical facts of the population that was performed by the Brazilian Ministry of Health (https://biblioteca.ibge.gov.br/visualizacao/livros/liv50063.pdf). Their results were presented by age groups of 5 years. The last version (2008–2009) of this document was used as a reference for obesity rates in each region. Obesity and overweight were defined according to World Health Organization references (http://www.who.int/growthref/who2007_bmi_for_age/en/). Obesity was defined as more than two standard deviations over expected weight for patient’s age and overweight as more than one standard deviation over expected weight for patient’s age. These thresholds are equivalent to respectively BMI > 30 and 25kg/m2 in adult.

Results were stratified by gender and age groups. We studied three age sub-groups, 5 to 9-year-olds, 10 to 19-year-olds and over 19-year-olds.

The exhaustive list of all McDonald restaurants in Brazil was obtained from the AggData website (https://www.aggdata.com/). The Brazilian Demographic Census provided the population per region. With these two data, we calculated the ratio of “McDonald restaurants per million inhabitants per region”.

We then studied the correlation between McDonald restaurant presence and population affected by obesity or overweight in each region. For each analysis, we calculated the determination coefficient (i.e. R squared). It was considered very strong when superior to 0.8 and strong when superior to 0.6 [8] In other cases correlation was considered not significant. We used R software (v3.1.0).

Results

Total population was 199,492,433 inhabitants, ranging from 14,702,592 to 84,046,162 depending on the region. Population of children aged 5 to 9 years old were 16,009,509 (8%), ranging from 7% to 11% depending on the region. The total number of McDonald restaurants in Brazil was 786, ranging from 14 to 528 depending on the region. The number of McDonald restaurants per million inhabitants was 3.9, ranging from 0.8 to 6.3 depending on the region. Details are in Table 1. Overweight and obesity rates per million inhabitants were at their maximum in the population of over 19 year-olds in both males and females.

Tab. 1. Characteristics of the studied populations and the presence of McDonald restaurants in the five Brazilian regions.
Characteristics of the studied populations and the presence of McDonald restaurants in the five Brazilian regions.

• Overweight

The correlation between overweight and the number of McDonald restaurants was very strong for both males and females between 5 and 9 years old (R2 respectively = 0.92 and 0.84) (Fig 1). The correlation was strong for females between 10 and 19 years old (R2 = 0.68) (Fig 2). Other correlations were considered not significant (Fig 3).

Obesity and overweight prevalence (%) in 5-9-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.
Fig. 1. Obesity and overweight prevalence (%) in 5-9-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.
Obesity and overweight prevalence (%) in 10-19-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.
Fig. 2. Obesity and overweight prevalence (%) in 10-19-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.
Obesity and overweight prevalence (%) in > 19-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.
Fig. 3. Obesity and overweight prevalence (%) in > 19-year-old females (respectively red squares and circles) and males (blue squares and circles) in each region according to the number of McDonald restaurants per million-inhabitants.

• Obesity

The correlation between obesity rates and the number of McDonald restaurants was very strong for males between 5 and 9 years old (R2 = 0.95) (Fig 1). The correlation was strong for both males and females between 10 and 19 years old (R2 respectively = 0.77 and 0.63) (Fig 2). Other correlations were considered not significant (Figs 13).

Discussion

A strong or very strong correlation between the prevalence of Brazilian children affected by overweight or obesity and the number of McDonald restaurants was found in many subgroups of gender and age class. The highest correlation—i.e. a very strong correlation—was observed for the youngest children. We also noted that this correlation seemed stronger for males than for females. These results should be taken into consideration by education and prevention campaigns.

The correlation between prevalence of overweight or obesity and the number of McDonald restaurants per region in Brazil that we found was weaker than the correlation that we previously reported on a global scale.[7] In a worldwide analysis we found a linear, very strong (R2 = 0,95) correlation between overweight and number of McDonald restaurants. In this last study, the conditions for highlighting such a correlation were favorable as the analysis covered 75% of the world population and especially because, in this large sample, the prevalence of people affected by overweight in the population ranged from 2% (Viet-Nam) to 32% (United States) and the number of McDonald's restaurants per million inhabitants from 0 (Viet-Nam) to 45 (United States). In contrast, in Brazil, the prevalence of population affected by obesity ranged from 3% (females 10 to 19 years in the Norte) to 21% (males 5 to 9 years in the Sudeste) and the number of McDonald restaurants per million inhabitants ranged from 0.8 to 6.3. Although the correlation we found here is less statistically strong, the trends all go in the same direction, whichever age category or gender is considered. The appearance of these curves (Figs 13) leaves little room for doubt as to the existence, in Brazil, of a correlation between the number of McDonald restaurants per million inhabitants and the prevalence of overweight and obesity. The proximity of fast food restaurants seems to be a factor associated with overweight and obesity, in adults, as well as in children.[7,9]

The strongest correlations were for boys from 5 to 9 years old (R2 respectively = 0.93 and 0.95) and for overweight, for girls from 5 to 9 years old (R2 = 0.84). This observation is crucial for several reasons. It is clear that children who are affected by overweight and especially obesity have an increased risk of being affected by obesity in adulthood. In fact, the risk for a child with obesity of having obesity in adulthood is multiplied, depending on the gender, by 5 to 9.[10] More generally, childhood obesity is associated with increased medical complications—especially cardiovascular—in adulthood.[11] Childhood diet determines the tastes and eating habits of the teenager and the adult. This ultimately contributes, directly or indirectly, to developing obesity or an ability to control one’s weight. Finally, because children, and more specifically young children, are a preferred commercial target for McDonald's, the correlation was lower for older children and was missing in children over 19 years. It should be noted that this last sub-group was not exposed to McDonald restaurants in the 1990s.[12]

This particularly sensitive subject led certain American jurisdictions to only authorize offering a gift with a meal on the condition that the meal conform to certain nutritional values.[13] Interestingly, a recent study revealed that children will chose the healthiest menu if it comes with a gift.[13] Various educational tools such as the simple question ‘‘what would Batman eat?” have been suggested.[14]

Obesity is already identified as a major health issue in Brazil.[15] In Brazil, contrary to what is observed in Western countries like the United States, the female population is predominantly affected by obesity. This may change. Indeed, the prevalence of obesity in males was significantly higher than that of obesity in females in all regions before the age of 19. The greater the gap between male and female obesity rates, the greater the general obesity rates. Identifying subgroups of population (by age, gender, geographical area) that are most at risk of having overweight or obesity is crucial to optimizing prevention campaigns. The results of this study contribute to this. Taking charge of the '' epidemic '' of overweight and obesity is a very real public health challenge worldwide.[16] Moreover, the interaction between obesity risk factors in children is complex, as shown by a recent Brazilian study.[17]

Such results do not mean that McDonald restaurants are the first responsible for obesity. The establishment and attendance of McDonald restaurants are in fact indicators, among others, of a change in lifestyles, and diet is only one of its components. Thus, analysis carried out with other criteria such as the consumption of sodas, time spent watching television or playing video games or, conversely, the practice of sport, would certainly obtain fairly similar results.[18,19] Many behavioral factors interfere with diet and weight.[20] In Brazil, the amount of McDonald restaurants has grown exponentially over the past 25 years.[12] The number of televisions and refrigerators in households followed the same trend.[12] In our study disparities were observed between rural and urban areas.[12] It is important to note however, that Brazil is already pointing the finger at McDonald’s…[21]

Limitations of the study

Our results may suffer some criticism. Our analysis focused exclusively on the McDonald's chain. Other fast-food chains could also play a role in the results of this study, as well as other types of food ignored here. However the latter is unlikely, as the correlation between fast food consumption and childhood obesity has been demonstrated worldwide.[22] Causes of overweight and obesity remain multiple and complex.[23] The confounding factors could not be taken into account in this study. Moreover, the validity of our results in other countries cannot be affirmed, although once more, the universality of the correlation has already been demonstrated.[7] Because this correlation was established in a single country study that only analyzed five regions and had a limited range in number of restaurants and in prevalence of obesity and overweight, it is more likely to support a strong relationship. Analysis in other countries will have to confirm this correlation. The reference values used for overweight and obesity are from 2008–09. The impact of the dated data on our interpretation could only be penalizing as the prevalence of overweight and obesity increases, similarly to an epidemic.

Conclusion

A strong correlation between overweight and obesity rates and the number of McDonald restaurants has been found in the population of Brazilian children. This correlation was at its maximum for the youngest children and for males. Fast-food consumption must be maintained as a main target in the battle against childhood obesity.

Competing interest statement

All authors have completed the Unified Competing Interest form (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years, no other relationships or activities that could appear to have influenced the submitted work.


Zdroje

1. GBD 2015 Obesity Collaborators, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, et al. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med. 2017 06;377(1):13–27. doi: 10.1056/NEJMoa1614362 28604169

2. WHO | Obesity and overweight [Internet]. WHO. [cited 2018 Jan 14]. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/

3. Malta DC, Andrade SC, Claro RM, Bernal RTI, Monteiro CA. Trends in prevalence of overweight and obesity in adults in 26 Brazilian state capitals and the Federal District from 2006 to 2012. Rev Bras Epidemiol Braz J Epidemiol. 2014;17 Suppl 1:267–76.

4. Rtveladze K, Marsh T, Webber L, Kilpi F, Levy D, Conde W, et al. Health and Economic Burden of Obesity in Brazil. PLoS ONE [Internet]. 2013 Jul 11 [cited 2017 Aug 24];8(7). Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708916/

5. Pozza FS, Nucci LB, Enes CC. Identifying Overweight and Obesity in Brazilian Schoolchildren, 2014. J Public Health Manag Pract JPHMP. 2017 Aug 21;

6. Kumar S, Kelly AS. Review of Childhood Obesity: From Epidemiology, Etiology, and Comorbidities to Clinical Assessment and Treatment. Mayo Clin Proc. 2017 Feb;92(2):251–65. doi: 10.1016/j.mayocp.2016.09.017 28065514

7. Alhéritière A, Montois S, Galinski M, Tazarourte K, Lapostolle F. Worldwide relation between the number of McDonald’s restaurants and the prevalence of obesity. J Intern Med. 2013 Dec;274(6):610–1. doi: 10.1111/joim.12126 23961962

8. 11. Correlation and regression | The BMJ [Internet]. [cited 2018 Jan 14]. Available from: http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/11-correlation-and-regression

9. Larsen K, Cook B, Stone MR, Faulkner GEJ. Food access and children’s BMI in Toronto, Ontario: assessing how the food environment relates to overweight and obesity. Int J Public Health. 2015 Jan;60(1):69–77. doi: 10.1007/s00038-014-0620-4 25394951

10. Venn AJ, Thomson RJ, Schmidt MD, Cleland VJ, Curry BA, Gennat HC, et al. Overweight and obesity from childhood to adulthood: a follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Med J Aust. 2007 May 7;186(9):458–60. 17484707

11. Franks PW, Hanson RL, Knowler WC, Sievers ML, Bennett PH, Looker HC. Childhood obesity, other cardiovascular risk factors, and premature death. N Engl J Med. 2010 Feb 11;362(6):485–93. doi: 10.1056/NEJMoa0904130 20147714

12. Mendonça CP, dos Anjos LA. [Dietary and physical activity factors as determinants of the increase in overweight/obesity in Brazil]. Cad Saude Publica. 2004 Jun;20(3):698–709. doi: 10.1590/s0102-311x2004000300006 15263980

13. Hobin EP, Hammond DG, Daniel S, Hanning RM, Manske S. The Happy Meal® Effect: the impact of toy premiums on healthy eating among children in Ontario, Canada. Can J Public Health Rev Can Sante Publique. 2012 May 24;103(4):e244–248.

14. Wansink B, Shimizu M, Camps G. What would Batman eat?: priming children to make healthier fast food choices. Pediatr Obes. 2012 Apr;7(2):121–3. doi: 10.1111/j.2047-6310.2011.00003.x 22434751

15. Aiello AM, Marques de Mello L, Souza Nunes M, Soares da Silva A, Nunes A. Prevalence of Obesity in Children and Adolescents in Brazil: A Meta-analysis of Cross-sectional Studies. Curr Pediatr Rev. 2015;11(1):36–42. 25938377

16. Hossain P, Kawar B, El Nahas M. Obesity and diabetes in the developing world—a growing challenge. N Engl J Med. 2007 Jan 18;356(3):213–5. doi: 10.1056/NEJMp068177 17229948

17. Ferrari GL de M, Matsudo V, Katzmarzyk PT, Fisberg M. Prevalence and factors associated with body mass index in children aged 9–11 years. J Pediatr (Rio J). 2017 Dec;93(6):601–9.

18. Falbe J, Willett WC, Rosner B, Gortmaker SL, Sonneville KR, Field AE. Longitudinal relations of television, electronic games, and digital versatile discs with changes in diet in adolescents. Am J Clin Nutr. 2014 Oct;100(4):1173–81. doi: 10.3945/ajcn.114.088500 25240080

19. Beck AL, Tschann J, Butte NF, Penilla C, Greenspan LC. Association of beverage consumption with obesity in Mexican American children. Public Health Nutr. 2014 Feb;17(2):338–44. doi: 10.1017/S1368980012005514 23308395

20. Rosenheck R. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Obes Rev Off J Int Assoc Study Obes. 2008 Nov;9(6):535–47.

21. Procon-SP multa McDonald’s por publicidade abusiva do McLanche Feliz [Internet]. Governo do Estado de São Paulo. 2013 [cited 2017 Oct 16]. Available from: http://www.saopaulo.sp.gov.br/spnoticias/ultimas-noticias/procon-sp-multa-mcdonald-s-por-publicidade-abusiva-do-mclanche-feliz/

22. Braithwaite I, Stewart AW, Hancox RJ, Beasley R, Murphy R, Mitchell EA, et al. Fast-food consumption and body mass index in children and adolescents: an international cross-sectional study. BMJ Open. 2014 Dec 8;4(12):e005813. doi: 10.1136/bmjopen-2014-005813 25488096

23. Datar A, Nicosia N. Association of Exposure to Communities With Higher Ratios of Obesity with Increased Body Mass Index and Risk of Overweight and Obesity Among Parents and Children. JAMA Pediatr. 2018 Jan 22


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