Abstracts
OBJECTIVE: To verify the prevalence of obesity, systemic arterial hypertension (SAH), waist circumference and acanthosis nigricans (AN) in school children from Sorocaba, in 2009 and associate them with risk factors. METHODS: A probabilistic sample study was carried out with 680 children (7-11 years) from 13 public schools from the city of Sorocaba, SP. A questionnaire containing questions on physical activity, time spent watching television, playing with videogames and computers (TV/VG/PC), student and parental antecedents of arterial hypertension, renal or cardiac disease, and economic level was applied. On physical examination, weight, height, waist circumference (WC) and blood pressure (BP) were measured; presence of AN was observed. The prevalence of nutritional disorders, SAH, WC increase and presence of AN were calculated. To associate body mass index (BMI) > P85 and BP > P90 with the other variables, chi square or Fisher's exact test (significance p < 0.05) and crude and adjusted prevalence odds ratio (POR) were used. RESULTS: The prevalence of BMI > P85 was 22.1% [95% CI: 19.0-25.3%], of BP > P90 10.9% [95% CI: 8.6- 13.5%], increased WC 15.4% [95% CI: 12.9-17.9%] and AN 3.8% [95% CI: 2.6-5.6%]. Paternal antecedents were associated with weight excess in both analysis (POR: 1.76; 95% CI: 1.05-2.95; p = 0.02). High blood pressure was associated with female sex (POR: 1.90; 95% CI: 1.12-3.23; p = 0.01), more time spent with TV/VG/PC (POR: 1.82; 95% CI: 1.00-3.36; p = 0.03), AN (POR: 8.18; 95% CI: 3.37-19.80; p < 0.00), obesity (POR: 4.09; 95% CI: 2.41-6.94; p < 0.00) and WC (POR: 4.83; 95% CI: 2.77-8.41; p < 0.00). After the multivariate analysis, the female sex (adjusted POR = 2.15; 95% CI: 1.17-3.93) and obesity (adjusted POR = 9.51; 95% CI: 4.77-18.97) remained. CONCLUSION: The prevalence of weight excess, SAH, increased WC and AN in these school children was relevant. This fact justifies the use of these measurements.
Obesity; hypertension; waist circumference; acanthosis nigricans
OBJETIVO: Verificar a prevalência de obesidade, hipertensão arterial sistêmica (HAS), aumento de cintura e acanthosis nigricans em estudantes da cidade paulistana de Sorocaba em 2009, associando aos fatores de risco. MÉTODOS: Amostra probabilística com 680 crianças (7-11 anos) de 13 escolas municipais de Sorocaba. Um questionário avaliou a prática de atividade física, tempo com televisão, videogame e computador (TV/VG/PC), antecedentes do aluno e dos pais para hipertensão arterial, doença renal e cardíaca e nível econômico. Foram realizadas medidas de peso, altura, cintura, pressão arterial (PA) e verificado acanthosis nigricans. Determinou-se a prevalência de alteração nutricional, HAS, aumento da cintura e acanthosis nigricans. Para a associação do índice de massa corpórea (IMC) IMC > P85 e da PA > P90 com outras variáveis, empregou-se o teste do qui-quadrado ou exato de Fisher (p < 0,05) e a razão de chances prevalente bruta e ajustada. RESULTADOS: A prevalência IMC > P85 foi 22,1% [IC 95%: 19,0-25,3%], de PA > P90 10,9% [IC 95%: 8,6-13,5%], aumento da cintura 15,4% [IC 95%: 12,9-17,9%] e acanthosis nigricans 3,8% [IC 95%: 2,6-5,6%]. Foi encontrada associação do excesso de peso com antecedentes do pai (RCP: 1,76; IC 95%:1,05-2,95; p = 0,02) em ambas as análises. A elevação de PA associou-se ao sexo feminino (RCP: 1,90; IC 95%:1,12-3,23; p = 0,010), ao maior tempo na TV/VG/PC (RCP: 1,82; IC 95%:1,00-3,36; p = 0,030), à presença de acanthosis nigricans (RCP: 8,18; IC 95%:3,37-19,80; p < 0,00), à obesidade (RCP: 4,09; IC 95%:2,416,94; p < 0,00) e à cintura (RCP: 4,83; IC 95%:2,77-8,41; p < 0,00). Após análise multivariada, permaneceram como fatores associados o sexo feminino (RCP ajustada = 2,15; IC 95%:1,17-3,93) e a obesidade (RCP ajustada = 9,51; IC 95%: 4,77-18,97). CONCLUSÃO: A prevalência de excesso de peso, HAS, aumento da cintura e acanthosis nigricans foi relevante, o que justifica a realização dessas medidas.
Obesidade; hipertensão; circunferência da cintura; acantose nigricans
ORIGINAL ARTICLE
IPediatrician; MSc Student; Postgraduate Course on Child and Adolescent Health, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (FCM-UNICAMP), Campinas, SP, Brazil
IIPhD in Child and Adolescent Health, Department of Pediatrics, FCM-UNICAMP, Campinas, SP, Brazil
IIIAssistant Professor, Department of Pediatrics, FCM-UNICAMP, Campinas, SP, Brazil
Correspondence to
SUMMARY
OBJECTIVE: To verify the prevalence of obesity, systemic arterial hypertension (SAH), waist circumference and acanthosis nigricans (AN) in school children from Sorocaba, in 2009 and associate them with risk factors.
METHODS: A probabilistic sample study was carried out with 680 children (7-11 years) from 13 public schools from the city of Sorocaba, SP. A questionnaire containing questions on physical activity, time spent watching television, playing with videogames and computers (TV/VG/PC), student and parental antecedents of arterial hypertension, renal or cardiac disease, and economic level was applied. On physical examination, weight, height, waist circumference (WC) and blood pressure (BP) were measured; presence of AN was observed. The prevalence of nutritional disorders, SAH, WC increase and presence of AN were calculated. To associate body mass index (BMI) > P85 and BP > P90 with the other variables, chi-square or Fisher's exact test (significance p < 0.05) and crude and adjusted prevalence odds ratio (POR) were used.
RESULTS: The prevalence of BMI > P85 was 22.1% [95% CI: 19.0-25.3%], of BP > P90 10.9% [95% CI: 8.6-13.5%], increased WC 15.4% [95% CI: 12.9-17.9%] and AN 3.8% [95% CI: 2.6-5.6%]. Paternal antecedents were associated with weight excess in both analysis (POR: 1.76; 95% CI: 1.05-2.95; p = 0.02). High blood pressure was associated with female sex (POR: 1.90; 95% CI: 1.12-3.23; p = 0.01), more time spent with TV/VG/PC (POR: 1.82; 95% CI: 1.00-3.36; p = 0.03), AN (POR: 8.18; 95% CI: 3.37-19.80; p < 0.00), obesity (POR: 4.09; 95% CI: 2.41-6.94; p < 0.00) and WC (POR: 4.83; 95% CI: 2.77-8.41; p < 0.00). After the multivariate analysis, the female sex (adjusted POR = 2.15; 95% CI: 1.17-3.93) and obesity (adjusted POR = 9.51; 95% CI: 4.77-18.97) remained.
CONCLUSION: The prevalence of weight excess, SAH, increased WC and AN in these school children was relevant. This fact justifies the use of these measurements.
Keywords: Obesity; hypertension; waist circumference; acanthosis nigricans.
INTRODUCTION
Obesity, currently considered a public health problem, is a chronic, multifactorial disease that suffers the influence and interaction of several behavioral, environmental and genetic factors. Complications can occur as early as the pediatric age range, especially cardiovascular and metabolic ones such as diabetes mellitus type 21.
The body mass index (BMI), although it does not measure the distribution of fat, is the most widely used method in clinical practice for the diagnosis of obesity. The distribution of fat, with a predominance of visceral fat, is related to cardiovascular complications. The waist circumference has been proposed in population studies as an assessment method, including for the pediatric age range2.
The prevalence of systemic arterial hypertension (SAH) in children has increased, mainly due to its association with obesity. Its presence in an early age range predisposes to its continuation into adulthood. High blood pressure can cause the development of coronary artery disease, stroke, seizures, heart and kidney failure3.
Acanthosis nigricans (AN) is a skin condition characterized by darkening and thinning of the skin in specific regions, with one of the most important regions being the posterior part of the neck4. It is associated with obesity and metabolic alterations such as insulin resistance and diabetes mellitus5-7.
Due to the increasing prevalence of obesity and its complications, the aim of this study was to determine the prevalence and associated risk factors of obesity, hypertension, increased waist circumference and the presence of AN in school children aged 7 to 11 years in the city of Sorocaba - SP, in 2009.
METHODS
This was a cross-sectional, descriptive and analytic study of a random sample of 680 students from municipal schools in the city of Sorocaba (São Paulo), carried out in 2009. At that time, Sorocaba had approximately 610,000 inhabitants, of which 42,278 were school children attending 1st to 4th grades of elementary school. From these 23,000 were enrolled in 37 public schools8.
To determine the size of the sample, we took into account an estimated prevalence of overweight and obesity in a community of 20.0%1, α = 5% and an absolute precision of 3%, resulting in 680 subjects9.
The selection of individuals occurred in two stages: first, the schools were identified and randomly selected by region according to geographic division and sector classification of income distribution adopted by the Department of Housing, Urbanism and Environment of Sorocaba: Northeast (NE), North (N), Northwest (NO), West (W), south (S) and East (E). In the second stage, 680 children were selected by probabilistic sampling in the previously determined 13 schools.
The Free and Informed Consent Form (FICF) and a questionnaire were sent to randomly selected students, and those who did not fill them out after 3 attempts or who missed the day of the clinical examination were excluded and replaced by previously selected alternatives.
The school children were submitted to clinical examination after consent was given by parents (or tutors) and after the latter answered the questionnaires. Examinations were performed by the study researcher, previously trained in the school premises so as not to disturb the students' routines. We excluded children younger than seven years and older than 11 years, the ones in whom it was impossible to perform measurements and girls with a history of menarche.
The evaluation of the history of personal or family risk was carried out by means of a questionnaire, which asked about the presence of hypertension, kidney and heart disease in children and parents separately, and considered as positive the presence of at least one affirmative answer to any one of the three items. Participants were also asked about the practice of physical activity, daily time in hours spent watching television (TV), playing video games (VG) or in front of the computer (PC). The economic classification was made according to the criteria of the Brazilian Association of Research Companies (ABEP), which uses a score system for possession of items and level of education of the household head, ranging from A to E10.
The regions were regrouped into S-E-NE and W-NNW, with the first representing the lowest poverty rate; and the economic classification was established as AB, C and DE due to the small number of students in the extreme categories. The time spent with the TV, PC and VG was classified as more or less than two hours per day11.
The clinical examination included measurements of weight, height and waist circumference12 and two blood pressure (BP) measurements using a mercury column portable device - PLUS 005, UNITEC, at the beginning and the end of examination, with an interval of two to three minutes between measurements. The BP measurement was taken in the right arm with the child sitting at rest, using cuffs of appropriate sizes. The employed method was the auscultatory one, with the systolic and diastolic pressures corresponding to Korotkoff phases I and V13. The mean BP was obtained with the two BP measurements. AN was investigated in the posterior region of the neck and considered present or absent4.
BMI was calculated based on the measured weight and height and nutritional status was classified according to WHO, considering as overweight a BMI between the 85th (P85) and 95th (P95) percentile and as obesity a BMI > P95, according to the CDC14. For waist circumference (WC) z scores were obtained according to age and sex, considering increased when z score was > 215.
BP was analyzed according to age, sex and height, being considered normal if systolic BP (SBP) and diastolic BP (DBP) were < 90th percentile (P90). Prehypertension was defined when SBP and/or DBP were > P90 and < P95 or > 120 x 80 mmHg and hypertension when SBP or DBP were > P9513.
The prevalence of overweight, obesity, prehypertension and hypertension was determined. Students with overweight and obesity were grouped together and called "excess weight" (BMI > P ), as well as those with prehypertension and hypertension, called "high BP" (BP > P) , as they were at-risk groups.
To evaluate the association of BMI > P85 and BP > P90 with gender, age group, region, socioeconomic level, personal, paternal and maternal history, physical activity and time spent with TV/VG/PC, we used the chi-square or Fisher's exact test. We also assessed the association between BP > P90 with the presence of AN, nutritional status and waist circumference. The crude prevalence odds ratio (POR) was carried out using Epilnfo version 6.04b. The adjusted POR was determined by multivariate logistic regression, using the forward stepwise method (Wald) with the SPSS software, version 16.0 (SPSS Inc., Chicago, IL, USA) and all the variables that in the bivariate analysis showed p < 0.20 were selected for inclusion in the model.
The study was approved by the Ethics Committee of the Faculdade de Ciências Médicas of Universidade Estadual de Campinas on September 23, 2008, with protocol # 737/2008 (CAAE: 3176.0.000.146-08).
RESULTS
Of the 680 students enrolled in the study aged 7 to 11 years, 347 (51.0%) were females, 304 (44.7%) came from the South, East and Northeast regions, 376 (55.3%) came from the West, North and Northwest regions. As for the economic classification, 166 (25.8%) were classes A and B, 376 (58.4%) class C and 102 (15.8%) were classes D and E (Table 1).
Only 171 (27.1%) answered that they practiced physical activity. The mean daily time devoted to activities with TV/VG/PC was 3.5 hours, and 226 (35.0%) of them reported fewer than 2 hours. The presence of personal history was 3.1% among students, 16.1% among the fathers and 17.8% among the mothers (Table 2).
The prevalence of obesity was 9.0% [95% CI: 6.9-11.4%] and 13.1% of overweight [95% CI: 10.6-15.9%]. When we consider the prevalence of excess weight, it was 22.1% [95% CI: 19.0-25.4] (Table 2).
An association was observed in the group with BMI > P85 only with the presence of paternal history (POR = 1.76, 95% CI: 1.05-2.95, p = 0.02) (Table 3). For the multivariate analysis, the variables considered were: paternal history (p = 0.02), region (p = 0.19), time spent with television, computer or video game (p = 0.13) and socioeconomic level (p category DE = 0.14). Only the paternal history remained in the model (POR adjusted = 1.89, 95% CI: 1.11-3.23).
The z score of waist measurement was > 2 in 15.4% of the cases, being 94.3% of them in the excess weight group. AN was observed in 26 (3.8%) patients, 24 (92.3%) of whom had excess weight (Table 2).
The prevalence of arterial hypertension was 5.3% [95% CI: 3.7-7.3%] and prehypertension was 5.6% [95% CI: 4.0-7.6%]. Considering the group with high blood pressure, the prevalence was 10.9% [95% CI: 8.7-13.5%] (Table 2).
With BP > P90, there was an association with the female sex (POR = 1.90, 95% CI: 1.12-3.23, p = 0.01), with time spent with TV, PC or VG for more than 2 hours per day (POR = 1.82, 95% CI: 1.00-3.36, p = 0.03), presence of AN (POR = 8.18, 95% CI: 3.37-19.80, p < 0.00), obesity (POR = 4.09, 95% CI: 2.41-6.94, p < 0.00) and waist z score > 2 (POR = 4.83, 95% CI: 2.77-8.41, p < 0.00) (Table 4). After the multivariate analysis, sex and obesity remained in the model. The risk is 2.15-fold higher for females (POR adjusted = 2.15, 95% CI: 1.17-3.93) and 9.51-fold higher in the obese (POR adjusted = 9.51, 95% CI: 4.77-18.97).
DISCUSSION
Sorocaba (SP) has good levels of urban development, in parallel with the disordered growth of the peripheral regions8. Therefore, changes in lifestyle, including eating and activity habits may be responsible for the high prevalence of excess weight (22.1%), increased waist circumference (15.4%), high BP (10.9%) and presence of AN (3.8%). Students with these alterations were notified through the school by the researcher to seek proper medical guidance.
According to the WHO classification and considering the CDC 2000 curve, public school students aged 7 to 11 years, had respectively 13.1 and 9.0% of overweight and obesity, results similar to those of Martin et al.16, who obtained an average of 12.2 and 10.1% of overweight and obesity, respectively, in school children of Sorocaba in 2006. This is a slightly lower prevalence than the one observed in Brazil, where a significant increase in overweight (34.8% in boys and 32.0% in girls) and obesity (16.6% in boys and 11.8 % in girls) has been observed in children between 5 and 9 years of age17.
Studies on the prevalence of obesity in other countries have shown 16.8% and 3.6% of overweight and obesity, respectively, in Germany18 and 20% and 6% respectively in Northern Italy19. In the U.S., rates are higher, as demonstrated by a study carried out between 2007-2008, which showed 14.5% of BMI > P97, 19.6% > P95 and 35.5% > P85 in children aged 6 to 11 years20.
This study showed no association between obesity and gender, as in the study by Nagel et al.18. A national study in children showed a higher prevalence of overweight and obesity in boys; in adults, the prevalence rates were similar in both genders, with an upward trend for the male sex and stability for the female sex17. A North-American study of the increasing trend of obesity has shown that girls in the 80s-90s had a higher prevalence than boys, with no changes in the last decade, and that the prevalence in boys has increased, especially above the P97, equaling that of girls. The study suggests that for the next years the prevalence of obesity tends to remain; however, with an increasing trend for more severe cases20.
Changes in diet, lifestyle habits and urbanization, which may be a reflection of socioeconomic level, have led to an "obesogenic" environment1. It is believed that at the same time, the social and economic pattern can distinctly influence different populations21. This study observed no association between socioeconomic status and place of residence as found by Martins et al.16, who observed more children with excess weight in the regions of Sorocaba with lower poverty rates. Nagel et al.18 also showed the influence of migration and socioeconomic status on excess weight, probably due to cultural differences and living standards.
Among the daily habits, the decrease in physical activity has been observed in parallel to longer periods spent watching TV or playing video games or using a computer, as variables related to weight gain. This study grouped the three activities (TV, video games and computer); however, the importance of each one of them, separately, is undisputable and it is believed that watching TV has a greater influence on weight gain by being more frequent in the population and due to the influence of the media, which very often advertises calorie foods and drinks22.
The practice of physical activity (27.1%) and spending more than two hours a day watching TV, playing videogames and computer games (65%) were not associated with excess weight, probably due to the high mean time (3.5 hours/day) dedicated to sedentary activities. These findings differ from those observed in the Brazilian study by Wells et al.23 and in studies carried out in other countries18,24, when only the time spent watching TV was accounted for.
The presence of paternal history of kidney disease, heart failure or hypertension was a factor associated with obesity among students. Knowing that this association occurs in adults with a history of obesity, this finding reinforces what was observed by Wardle et al.25, showing that increased adiposity, assessed by the waist circumference and BMI in childhood and adolescence, has been related mainly to genetic factors, after the obesity epidemics.
Regarding the WC, it was observed that the vast majority of students with WC measurements > 2 z scores were among those with excess weight, similar to what was found in other studies. The waist measurement evaluates the distribution of fat in relation to the presence of visceral fat, and is indicated for population studies as it is easy to obtain and a low-cost procedure, when compared to the gold standard, MRI, CT or dual-emission X-ray absorptiometry (DXA)2,15. One of the difficulties of its use is the comparison with reference curves, as so far, there is no international standard, and significant ethnic differences have been observed15.
The presence of visceral fat is related to cardiovascular problems in adults, with few studies having been carried out with children. Recent studies have shown association with increased BP2,3 and better risk association when compared to BMI26,27.
The prevalence of prehypertension (5.6%) and SAH (5.3%) was different from that reported by the Brazilian Society of Hypertension in children and adolescents, which is 2% and 13%, respectively28. However, it was similar to the results obtained by Genovesi et al.19 in a cross-sectional study of 5,131 children aged 5-11 years from northern Italy, which showed 2.7 and 3.4% of prehypertension and hypertension, respectively. However, a study with high school students (14-20 years) in Recife, state of Pernambuco, Brazil, showed a higher prevalence (17.3%) of hypertension29. A U.S. population study showed a SAH trend in children from 1988-94 to 1999-2002, from 7.7% to 10.0% in the prehypertensive and 2.7% to 3.7% in hypertensive patients, mainly related to weight gain and increased WC30.
Between genders, hypertension was more prevalent in females (POR adjusted = 2.15, 95% CI: 1.17-3.93), as opposed to other studies which showed a predominance of males29-31 and others that showed no differences between the sexes32.
The association between hypertension and obesity observed in the study (POR adjusted = 9.51, 95% CI: 4.7718.97) has been described in several national studies and in other countries3,29-32. In Mexico, a high prevalence (22.8%) of hypertension was obtained, associated mainly to abdominal circumference and obesity and unrelated to physical activity and time spent with TV and videogames3. Beck et al.31, in a cross-sectional study, found an association between WC and SAH in Brazilian adolescents, and suggested the evaluation of this anthropometric parameter as a measure of predisposition to blood pressure increase.
AN was observed in small numbers of children (3.8%). AN prevalence of 19.4% was observed in the U.S. population between 7 and 65 years, which showed a higher risk for diabetes7. A recent study in American individuals of varied ethnicity aged 7-17 years, with 32% of obesity, observed the presence of AN in 4% of Caucasians, 19% of African-Americans and 23% of Hispanics5.
This skin alteration, at lower prevalence in this study, should be taken into consideration due to the lower age range studied and the lower prevalence of obesity in this population. Regarding this parameter, it should be emphasized that it is easy to be verified and its high association with obesity and metabolic disorders such as insulin resistance and diabetes5-7.
The present study has two limitations. The questionnaire answered by the parents or tutors lacked information on some variables, which can lead to data interpretation difficulties. In relation to blood pressure, even through the recommended techniques were used, as well as the mean of two measurements obtained on the same day, there may have been an increase in the number of children with high blood pressure. However, these findings are important for screening and posterior follow-up, as sequential measurements would be needed for the diagnosis.
CONCLUSION
In this study, the high prevalence of obesity and overweight and the lack of association with the studied factors make it difficult to identify at-risk students. This diagnosis is crucial in this age group, because studies show trends in which the prevalence of children with overweight and obesity has remained steady, being worse in those who already have the problem17,20.
Concerning SAH, the high number of school children with high BP and the fact that it is associated with excess weight reinforce the importance of measuring it in all children, as previously recommended13. Waist measurement and verification of acanthosis nigricans can be included in pediatric evaluations. Therefore, preventive measures such as the early diagnosis of overweight and its complications, nutritional guidelines and healthy lifestyle habits should be adopted for all children.
REFERENCES
-
1World Health Organization. Population-based prevention strategies for childhood obesity. Report of the WHO forum and technical meeting. Geneva: WHO; 2009.
- 2. Genovesi S, Antolini L, Giussani M, Pieruzzi F, Galbiati S, Valsecchi MG et al. Usefulness of waist circumference for the identification of childhood hypertension. J Hypertens. 2008;26:1563-70.
- 3. Colín-Ramírez E, Castillo-Martinez L, Orea-Tejeda A, Romero ARV, Castaneda AV, Lafuente EA. Waist circumference and fat intake are associated with high blood pressure in mexican children aged 8 to 10 years. J Am Diet Assoc. 2009;109:996-1003.
- 4. Burke, JP Hale DE, Hazuda HP, Stern MP. A quantitative scale of acanthosis nigricans. Diabetes Care.1999;22:1655-59.
- 5. Brickman WJ, Binns HJ, Jovanovic BD, Kolesky S, Mancini AJ, Metzger BE. Acanthosis nigricans: a common finding in overweight youth. Pediatr Dermatol. 2007;24:601-6.
- 6. Brickman WJ, Huang J, Silverman BL, Metzger BE. Acanthosis nigricans identifies youth at high risk for metabolic abnormalities. J Pediatr. 2010;156:87-92.
- 7. Kong AS, Williams RL, Rhyne R, Urias-Sandoval V, Cardinali G, Weller NF et al. Acanthosis nigricans: high prevalence and association with diabetes in a Practice-based Research Network Consortium-A Primary care Multi-Ethnic Network (PRIME Net) Study. J Am Board Fam Med. 2010;23:476-85.
- 8. SEADE. Secretaria de Economia e Planejamento do Estado de São Paulo. Fundação Sistema Estadual de Análise de Dados. Perfil municipal. [citado 5 jul 2010]. Disponível em: http://www.seade.gov.br/produtos/imp/index.php
- 9. Lwanga SK, Lemeshow S. Sample size determination in health studies-a practical manual. Geneva: WHO; 1991.
- 10. Associação Brasileira de Empresas de Pesquisa (ABEP). Critério de Classificação Econômica da Associação Brasileira de Empresas de Pesquisa. [citado 21 jan 2009]. Disponível em: http://www.abep.org
- 11. American Academy of Pediatrics. Committee on Public Education. Children, adolescents and television. Pediatrics. 2001;107:423-6.
- 12. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Abridged Edition. Champaign: Human Kinetics Books; 1988.
- 13. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004;114:555-76.
- 14. Kuczmarski RJ, Ogden CL, GuoSS, Grummer-Strawn LM, Flegal KM, Mei Z et al. 2000 CDC Growth Charts for the United States: methods and development. National Center for Health Statistics. Vital Health Stat 11. 2002;(246):1-190.
- 15. McCarthy HD, Jarrett KV, Crawley HF. The development of waist circumference percentiles in British children aged 5.0-16.9y. Eur J Clin Nutr. 2001;55:902-7.
- 16. Martins CEB, Ribeiro RR, Barros Filho AA. Estado nutricional de escolares segundo a localização geográfica das escolas em Sorocaba, São Paulo. Rev Paul Pediatr 2010;28:55-62.
-
17IBGE. Instituto Brasileiro de Geografia e Estatística. Pesquisa de orçamentos familiares. Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. [citado 1 set 2010]. Disponível em: http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009/default.shtm
- 18. Nagel G, Wabitsch M, Galm C, Berg S, Brandstetter S, Fritz M et al. Determinants of obesity in the Ulm Research on Metabolism, Exercise and Lifestyle in Children (URMEL-ICE). Eur J Pediatr. 2009;168:1259-67.
- 19. Genovesi S, Antolini L, Giussani M, Brambilla P, Barbieri V, Galbiati S et al. Hypertension, prehypertension, and transient elevated blood pressure in children: association with weight excess and waist circumference. Am J Hypertens. 2010;23:756-61.
- 20. Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in us children and adolescents, 2007-2008. JAMA. 2010;303:242-49.
- 21. Matijasevich A, Victora CG, Golding J, Barros FC, Menezes AM, Araujo CL et al. Socioeconomic position and overweight among adolescents: data from birth cohort studies in Brazil and the UK. BMC Public Health. 2009;9:105-11.
- 22. Swinburn B, Shelly A. Effects of TV time and other sedentary pursuits. Int J Obes. (Lond) 2008;32(Suppl 7):S132-6.
- 23. Wells JC, Hallal PC, Reichert FF, Menezes AM, Araújo CL, Victora CG. Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes. 2008;32:1042-9.
- 24. Kuepper-Nybelen J, Lamerz A, Bruning N, Hebebrand J, Herpertz-Dahlmann B, Brenner H. Major differences in prevalence of overweight according to nationality in preschool children living in Germany: determinants and public health implications. Arch Dis Child. 2005;90:359-63.
- 25. Wardle J, Carnell S, Haworth CMA, Plomin R. Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment. Am J Clin Nutr. 2008;87:398-404.
- 26. Lee S, Bach F, Arslanian SA. Waist circumference, blood pressure, and lipid components of the metabolic syndrome. J Pediatr. 2006;149:809-16.
- 27. Meininger JC, Brosnan CA, Eissa MA, Nguyen TQ, Reyes LR, Up-church SA et al. Overweight and central adiposity in school-age children and links with hypertension. J Pediatr Nurs. 2010;25:119-25.
- 28. Sociedade Brasileira de Cardiologia, Sociedade Brasileira de Hipertensão, Sociedade Brasileira de Nefrologia. V Diretrizes Brasileiras de Hipertensão Arterial. São Paulo; 2006.
- 29. Gomes BMR, Alves JGB. Prevalência de hipertensão arterial e fatores associados em estudantes de ensino médio de escolas públicas da região metropolitana do Recife, Pernambuco, Brasil, 2006. Cad Saúde Pública. 2009;25:375-81.
- 30. Din-Dzietham R, Liu Y, Bielo MV, Shamsa F. High blood pressure trends in children and adolescents in national surveys, 1963 to 2002. Circulation. 2007;116:1488-96.
- 31. Beck CC, Lopes AS, Pitanga FJG. Indicadores antropométricos como preditores de pressão arterial elevada em adolescentes. Arq Bras Cardiol. 2011;96:126-33.
- 32. Rosa MLG, Mesquita ET, Rocha ERR, Fonseca VM. Body mass index and waist circumference as markers of arterial hypertension in adolescents. Arq Bras Cardiol. 2007;88:508-13.
Obesity and cardiovascular risk factors in school children from Sorocaba, SP
Publication Dates
-
Publication in this collection
12 Jan 2012 -
Date of issue
Dec 2011
History
-
Received
10 May 2011 -
Accepted
19 Sept 2011