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versión impresa ISSN 0212-1611
Nutr. Hosp. vol.27 no.4 jul./ago. 2012
Comparison of the biochemical, anthropometric and body composition variables between adolescents from 10 to 13 years old and their parents
Comparación de las variables bioquímicas, antropométricas y composición corporal entre adolescentes de 10 a 13 años y sus padres
O. Cardoso Chaves1, S. do Carmo Castro Franceschini2, S. Machado Rocha Ribeiro3, L. Ferreira Rocha Sant'Ana4, C. Garçon de Faria5 and S. Eloiza Priore2
1Nutricionista. Mestre em Ciência da Nutrição pelo Departamento de Nutrição e Saúde da UFV
2Nutricionista. Doutora em Nutrição. Docente do Departamento de Nutrição e Saúde da UFV
3Nutricionista. Doutora em Bioquímica Agrícola. Docente do Departamento de Nutrição e Saúde da UFV
4Nutricionista. Doutora em Ciência e Tecnologia de Alimentos. Docente do Departamento de Nutrição e Saúde da UFV
5Médico. Especialista em Pediatria pela Sociedade Brasileira de Pediatria. Membro da Divisão de Saúde da UFV. Viçosa. MG. Brasil
The authors would like to thank the National Council for Scientific and Technological Development (CNPq) and FAPEMIG for the financing, the Nutrition and Health Department of the Federal University of Viçosa for the support and the adolescents and their parents for taking part in this study.
Objective: The present study had the objective of comparing the lipid profile, nutritional status and body composition of adolescents and their parents.
Methods: A cross-sectional study was conducted with 120 adolescents from 10 to 13 years old, public schools students from the city of Viçosa, Minas Gerais, Brazil and their respective biological parents (104 mothers and 82 fathers). Data was collected regarding weight, height, waist and hip circumference, body fat, triglycerides, total and fraction cholesterol. Besides, taking the skinfold measurements (bicipital, tricipital, subscapular and suprailiac) of the adolescents; and evaluation of sexual maturity, excluding those that were in stage 1 according to Tanner. The statistical treatment includes descriptive analysis, the use of the Student's t-test, Mann Whitney, and Pearson and Spearman correlation. An Odds Ratio was conducted with a confidence interval of 95%, considering p < 0.05 significant.
Results: A positive and significant correlation was seen for weight, BMI and total cholesterol between father and son; for all the variables, except body fat and wait/hip ratio between father and daughter; for weight and height between mother and son and BMI between mother and daughter. Adolescents that had both parents with hypertriglyceridemia, with inadequacies of LDL or HDL presented, respectively 19, 20 and 4 times more chances of presenting the same alterations.
Conclusion: This study confirmed differences in the anthropometric measurements, body composition and lipid profile between children of overweight, eutrophic and underweight parents, as well as greater chance for the adolescent to present an altered lipid profile when the parents also have presented that alteration.
Key words: Nutritional status. Body composition. Adolescents. Parents. Hyperlipidemias.
Objetivo: El presente estudio tenía por objeto comparar el perfil lipídico, le estado nutricional y la composición corporal de adolescentes y sus padres.
Métodos: Se realizó un estudio transversal en 120 adolescentes de 10 a 13 años de edad, estudiantes de escuelas públicas de la ciudad de Viçosa, Minas Gerais, Brasil y sus respectivos padres biológicos (104 madres y 82 padres). Se recogieron datos de peso, talla, circunferencia de la cintura y la cadera, la grasa corporal, los triglicéridos y el colesterol total y fraccionado. Además, se tomaron medidas de los pliegues cutáneos (bicipital, tricipital, subescapular y suprailíaco) de los adolescentes; y una evaluación de la madurez sexual, excluyendo a aquellos que estaban en el estadio 1 de Tanner. El tratamiento estadístico incluye un análisis descriptivo, el uso del test t de Student, Mann Whitney, y la correlación de Pearson y Spearman. Se realizó la razón de probabilidades con un intervalo de confianza del 95%, considerando significativa una p < 0,05.
Resultados: se observó una correlación positiva significativa para el peso, el IMC y el colesterol total entre padre e hijo; para todas las variables, excepto para la grasa corporal y el cociente cintura/cadera entre padre e hija; para el peso y la talla entre madre e hijo, y para el IMC entre madre e hija. Los adolescentes cuyos progenitores tenían ambos hipertrigliceridemia, con inadecuaciones entre la LDL y HDL, presentaron, respectivamente, 19, 20 y 4 veces más posibilidades de presentar las mismas alteraciones.
Conclusión: Este estudio confirmó diferencias en las medidas antropométricas, la composición corporal y el perfil lipídico entre los niños de padres con sobrepeso, normal y baja, así como una mayor posibilidad de que los adolescentes presentasen un perfil lipídico alterado cuando los padres también tenían esta alteración.
Palabras clave: Estado nutricional. Composición corporal. Adolescentes. Padres. Hiperlipidemias.
BMI: Body mass index.
HDL: High density lipoprotein.
LDL: Low density lipoprotein.
The excess in body weight has taken a status of concern in all ages.1 It is a nutritional disorder that involves the interaction of multiple factors, including genetic, metabolic, physiological, environmental, behavioral and social conditions.2,3 The parents' obesity is considered a relevant risk factor for this ailment in their children, besides the genetic cause added to the family environmental influences.4,5 However, it is hard to define how much the genetic influence is responsible or the family environment where the adolescent is inserted and has great influence in the eating habits and life style.6
The genetic factors play an important role in the determination of susceptibility of the individual for weight gain, however, the environmental factors and life styles are the ones that usually lead to a positive energetic balance, favoring obesity.7 It can be expected that parents and their children, when sharing similar social, environmental and cultural conditions, are associated in relation to the nutritional status.
Besides the nutritional status, the same occurs with the lipid profile. Hyperlipidemias can be due to genetic and/or environmental factors, being that those alterations might result, among other causes, repercussion in the vascular system.8,9 Still during adolescence the presence of hyperlipidemia is seen associated with family history of premature coronary disease.10
Epidemiological studies has documented the relation between excess weight and lipid alterations during adolescence resulting in coronary diseases, in this stage and later in life, making of upmost importance to identify the factors related to its genesis, a way to intervene and reduce future complications.
Within this context, this study had the objective to analyze the biochemical, anthropometric and body composition variables in adolescents and compare them to the lipid profile, nutritional status and body composition of their respective biological parents.
It is an epidemiologic cross-sectional study, in which adolescents from 10 to 13 years old, of both genders, coming from public schools in urban zone in the city of Viçosa-Minas Gerais, Brazil and their respective biological parents.
The sample size was calculated based in the excess weight frequency of 10%,11 with an acceptable margin in the variability of this frequency of 2% and a confidence interval of 99%. Foreseeing the possible sample losses that could jeopardize the statistical force results a percentage 20% was added over the calculated sample, and thus estimating a minimum sample of 110 adolescents.
The following inclusion criteria were considered in the study: adolescents with at least one living biological parent and resided with them in the urban zone of the city, did not present any chronic diseases and/or taking medication that could alter the lipid metabolism and were in puberty. The inclusion criteria were met by 120 adolescents.
According to the Anisio Teixeira National Institute of Study and Research (INEP) the urban zone in the city of Viçosa has 25 schools (19 public and 6 private) that cater to students between 10 and 13 years old.12 Adolescent of this age range have participated of the study, coming from 18 public schools in the city, being that one of them did not participate due to non-consent by the principal's office.
The adolescents were invited to participate in the study by invitation delivered in the classrooms, which was filled out and handed back for random selection. After the draw, the parents were contacted, in case they were interested in participating in the biochemical, anthropometric and body composition evaluations were scheduled, for the parents as well as the adolescents. Weight, height, waist and hip circumferences, body fat, triglycerides, total and fractions of the cholesterol were investigated in the parents and children. Besides, skinfold test measurements were affered in the adolescents along with a sexual maturity evaluation. The evaluations took place at the Health Division of the Federal University of Viçosa, in the period from August of 2008 to February of 2009.
For the anthropometric measurements, the subjects wore light clothes. The height was determined using a stadiometer fixed in the wall, with an extension of 220 cm and subdivision of 0.1 cm. The weight was affered in an electronic digital scale positioned in a plain surface, with a maximum capacity of 200 kg and sensibility of 100g. Both measurements made according to the techniques preconized by Jelliffe.13 With the weight and height values the body mass index (BMI) was calculated, classifying it according to the WHO, 199814 for the parents. The teenagers on the other hand, were evaluated using the WHO AnthroPlus software and classified in Z score, according to the cut-off points of the WHO, 2007.15 For a better analysis of the results, the obese and overweight groups were put together in only one group called excess weight.
The waist and hip circumference was affered with a flexible and inelastic metric tape, with a 0.1 cm subdivision, making sure there is no tissue compression. The values obtained for the adults were compared with the cut-off points established by the WHO.14
The body composition was estimated by means of electrical tetrapolar bioimpedance and the percentage of total body fat classified according to Lohman,16 for the adolescents as well as the parents.
Bicipital, tricipital, subscapular and suprailiac skinfold measurements were taken in the adolescents, using the equipment Lange Skinfold Caliper, on the right side of the body, and in three repetitions for each measurement, accepting the average of the two closest values.
For the biochemical exams, blood samples were drawn by means of venous puncture, with the patient fasting for 12 hours. Triglycerides, total cholesterol, LDL (low density lipoprotein) and HDL (high density lipoprotein) were measured, and the lipid profile in adolescents classified according to the I Prevention Directive of Arteriosclerosis in Children and Adolescents17 and the parents according to the III Brazilian Directives on Dyslipidemy.18
For the evaluation of the sexual maturity stage the method proposed by Marshall and Tanner were used.19,20 It was established as one of the exclusion criterion the adolescents that were in the first stage of sexual maturity, in which corresponds to a pre-pubescent phase. All of the adolescents with a sample that presented the typical secondary sexual characteristics of adolescence. The exam was conducted by a single pediatrician, who evaluated the development of pubic pilosity for both genders, and the genital and breasts for boys and girls, respectively.
The data was analyzed using the programs EPI-INFO version 6.0 and SIGMA STAT version 3.1. First, the variable distribution was verified through the Kolmogorov-Smirnov test. The t'Student test and Pearson correlation (parametric variables) or Mann Whitney and Spearman correlation (non-parametric variables). For the categorical variables (presence or non-presence of excess weight and dyslipidemies between parents and children) the Odds Ratio was calculated with the respective confidence interval. The probability inferior to 5% was considered as level of statistical significance.
This research was approved by the Ethics Committee in Human Research of Federal University of Viçosa and all of the volunteers were only evaluated after signing consent at their own will, as for the adolescents this consent was also signed by the parents.
Participated in the study 120 adolescents from 10 to 13 years old, in which 51.7% (n = 62) males. The parents totaled 186, being 104 mothers (55.9%) and 82 fathers (44.1%), with ages between 30 and 62 years old for males and 27 to 53 years old for females.
Regarding the nutritional status, 8.4% (n = 10) of the adolescents were underweight, 70.0% (n = 84) euthrophy, 18.3% (n = 22) overweight and 3.3% (n = 4) obesity. Elevated body fat percentage was seen in 17.5% (n = 21) of the adolescents.
The total cholesterol was the lipid variable that presented the highest percentage of inadequacy (54.2%), followed by the fractions, LDL (26.7%) and HDL (25.8%). The level of triglycerides was at threshold or increased in 20.0% of the studied adolescents.
As for the nutritional status of the parents, according to the BMI values, 54.8% (n = 102) presented excess of body weight and 25.8% (n = 48) had an elevated body fat percentage. The excess weight in both genders was similar (male: 52.4% vs. females: 56.7%, p = 0.5), however, the prevalence of elevated body fat in females was more than double the one found in males (34.6% vs. 14.6%, p < 0.05). Increased values of waist circumference in 50.96% (n = 53) females and 10.97% (n = 9) in males, while altered hip/waist circumference was seen in 72.1% (n = 75) and 13.4% (n = 11), respectively.
Increased values of triglycerides, LDL and cholesterol were observed, respectively, in 25.3, 35 and 38.2% of the parents and the level of HDL was below the desired levels in 44.1% of the subjects.
Table I presents the correlation coefficients between the anthropometric, body composition and lipid variables between parents and children. A positive and significant correlation was found for weight, BMI and total cholesterol between father and son; for all of the variables, except body fat and waist/hip ratio between father and daughter; for weight and height between mother and son and BMI between mother and daughter.
Lipid alterations found in the parents were considered predictive of the same alterations in their children. The chance of a teenager present hypertriglyceridemia was 19.16 times higher when both parents, father and mother are hypertriglyceridemics, and a chance of 5.16 when only the mother and 2.91 only the father. Considering the LDL, the teenagers presented 2.99, 4.34 and 20.4 times higher when the mother, the father and both had the alteration, respectively. For the HDL, low values were seen for this lipid fraction, in the mother or fathers alone the chances of alterations in their children would practically triple, with an increase in 4 times if, both father and mother presented the same alteration (table II).
In analyzing the nutritional status, there was no association between the excess weight and body fat in the parents and the adolescents (Odds Ratio = 1.11; Confidence Intervals of 95% 0.23 - 5.63; p=0,8 and Odds Ratio = 3.71; Confidence Intervals of 95% 0.57-23.30; p = 0.09, respectively). However, higher average values of body fat and tricipital skinfold was seen for the daughters of euthrophic women when compared to the low weight mothers. Thus, higher values of BMI, body fat and bicipital skinfold were seen when comparing the daughters of mothers with excess weight with the low weight ones. It was found that sons of mothers with excess weight presented more elevated median values of waist circumference and bicipital skinfold in relation to sons of euthrophic mothers (table III).
It was also observed that the daughters with excess weight fathers presented superior values of BMI, body fat and tricipital, subscapular and suprailiac skinfolds when compared to the daughters of euthrophic fathers. The boys showed higher values of BMI, waist circumference and subscapular and suprailiac skinfolds (table IV).
Regarding the lipid profile, it was seen that daughters of mothers with excess weight presented lower values of HDL when compared to the mothers with low weight (median: 49.0; range: 24.0-115.0 vs. median: 62.0; range: 59.0-69.0; p = 0.03). It was seen that the daughters of euthrophic fathers demonstrated different values, when compared with the fathers with low weight, for triglycerides (median: 67.5; range: 30.0161.0 vs. median: 33.5; range: 31.0-36.0; p = 0.03), HDL (average: 49.0; standard deviation: 13.1 vs. average: 69.0; standard deviation: 14.1; p = 0.05) and VLDL (median: 13.5; range: 6.0 - 32.2 vs. median: 6.7; range: 6.2-7.2; p=0.03) (data not presented on the table).
The non-transmittable chronic diseases, giving emphasis to obesity and lipid abnormalities, has caused irreparable damage on the population, as risk factors for other alterations as well as financial burden for the healthcare system. Thus, the early detection of these nutritional disturbances will provide a great impact in improving people's quality of life and the current healthcare scenario in Brazil and the world.
Regarding the BMI, 30% of the evaluated adolescents in this study had an altered nutritional status, with a predomination of excess weight (21.6%). This age group follows the nutritional transition that happens in the country, that is, at the same time in which present alterations related to nutrition depravation, also live with alterations from excess weight.
The results observed are a cause for concern, seen that the excess weight found in adolescence is correlated to risk factors for diseases in this phase21,22 and later on in life.23 Besides, if it starts in the beginning of life, it has the tendency of remaining or getting worse as the years go by.24
It was found, during adolescence, presence of other important alterations, like the excess in body fat and dyslipidemies, highlighting that more than half of the subjects already had alterations in the total cholesterol levels. Such results suggest that these adolescents, although asymptomatic, would be more predisposed to the development of arteriosclerosis disease, with the necessary development of therapeutic and preventive measures.
In the present study, positive correlations were found between the anthropometric and lipid variables of parents and their children. The obtained correlations, although significant, were weak (r < 0.5), however, they suggest that the presence of these alterations in the parents is relevant for their development in teenager children.
Congruent with these findings, Reis et al.25 observed significant correlations in evaluating risk factors for cardiovascular diseases among children and adolescents (11.7 ± 1.8 years) and their parents. Correlations were seen for BMI (r: 0.35; p: 0.0001), waist circumference (r: 0.39; p 0.0001), triglycerides (r: 0.39; p: 0.0001), total cholesterol (r: 0.30; p: 0.0001) and HDL (r: 0.25; p: 0.01).
Lipid abnormalities found in parents were considered as predictive for them in children, being that, inadequate values of triglycerides, LDL and HDL when present in the father and mother separately increased the chances of alterations in the children, being more elevated when both parents presented the dyslipidemy. It is suggested that this result might be due to genetic and environmental influences, such as inadequate eating habits and life style developed by the adolescents with the family.
Mendes et al.10 confirmed the presence, still during adolescence, the dyslipidemy associated to the family history of premature coronary disease. Besides, it shows the effectiveness of nutritional intervention in improving the lipid profile found in these young teens.
Jago et al.26 conducted a study with American children of European, African and Hispanic descent; and it was verified that the levels of LDL and HDL were significantly associated between mothers and children of African origin, but not for the other ethnic groups. These associations were not influenced by the BMI or physical activity and the authors suggest that the possible explanation would be the type of food eaten by the family and genetic factors.
Studies have shown that the excess weight in both parents increased the chance that the child would present excess weight, when compared to those that had one or none of the parents with the alteration.27,28 Ramos de Marins et al.29 observed that the maternal BMI (> 25 kg/m2) was risk factor for obesity in children and the paternal BMI did not present any association. Contrary to these results, Terres et al.30 observed that children of obese fathers presented to be overweight and obesity in relation to normal parents (p < 0.05), situation not seen with the mother's physical appearance.
Despite the controversial results, it is important to point out the strong influence of eating habits and physical activities of the parents on the behavior of their children, which are contributing factors for obesity.31 Parents with excess weight have the tendency of exercising less and to consume greater energetic percentage in the form of fat, this way, families with greater predisposition for obesity must be identified with the objective of predicting the risk of excess weight in children or adolescents.32,33
In the present study, the odds ratio values found for excess weight between parents and their children were not significant; however, differences were seen in the comparison of the anthropometric variable and body composition values in adolescents according to the parents' nutritional status, confirming the family's influence in obesity.
In conclusion, this study witnessed differences in the anthropometric measurements, body composition and lipid profile between children of parents with excess weight, euthophy and low weight, as well as higher chances that the adolescent will present an altered lipid profile when the parents also present the abnormality. Thus, it becomes of great importance to put in play strategies that seek the control and prevention of these alterations in adolescents, especially when the parents also present the same nutritional disturbances. These results highlight the importance of working on a healthier life style with the family. When the diagnosis is early, causes and factors can be corrected in contributing to the reduction of future problems.
1. Costa RF, Cintra IP, Fisberg M. Prevalência de sobrepeso e obesidade em escolares da cidade de Santos, SP. Arq bras Endocrinol Metab 2006; 50 (1): 60-7. [ Links ]
2. Kimani-Murage EW, Kahn K, Pettifor JM, Tollman SM, Klipstein-Grobusch K, Norris SA. Predictors of adolescent weight status and central obesity in rural South Africa. Public Health Nutr 2011; 28: 1-9. [ Links ]
3. Sookoian S, Gemma C, Gianotti TF, Burgueño A, Castaño G, Pirola CJ. Genetic variants of Clock transcription factor are associated with individual susceptibility to obesity. Am J Clin Nutr 2008; 87(6): 1606-15. [ Links ]
4. Novaes JF, Lamounier JA, Franceschini SCC, Priore SE. Fatores ambientais associados ao sobrepeso infantil. Rev Nutr 2009; 22 (5): 661-673. [ Links ]
5. Novaes JF, Franceschini SCC, Priore SE. Comparison of the anthropometric and biochemical variables between children and their parents. Arch Latinoam Nutr 2007; 57 (2): 137-145. [ Links ]
6. Livingstone B. Epidemiology of chidhood obesity in Europe. ILSI Europe miniworkshop on overweight and obesity in european children and adolescents: causes e consequences - prevention and treatment. Eur J Pediatr 2000; 159 (Suppl.1): S14-S34. [ Links ]
8. Zhang S, Liu X, Necheles J, Tsai HJ, Wang G, Wang B, Xing H, Li Z, Liu X, Zang T, Xu X, Wang X. Genetic and environmental influences on serum lipid tracking: a population-based, longitudinal Chinese twin study. Pediatr Res 2010; 68 (4): 316-22. [ Links ]
9. Mietus-Snyder M, Krauss RM. Lipid metabolism in children and adolescents: Impact on vascular biology. Journal of Clinical Lipidology 2008; 2 (3): 127-137. [ Links ]
10. Mendes GA, Martinez TL, Izar MC, Amancio OM, Novo NF, Matheus SC, Bertolami MC et al. Perfil Lipídico e Efeitos da Orientação Nutricional em Adolescentes com Historia Familiar de Doença Arterial Coronariana Prematura. Arq Bras Cardiol 2006; 86 (5): 361-365. [ Links ]
11. Faria ER, Franceschini SCC, Peluzio MCG, Sant'Ana LFR, Priore SE. Correlação entre variáveis de composição corporal e metabólica em adolescentes do sexo feminino. Arq Bras Cardiol 2009; 93 (2): 119-127. [ Links ]
12. INEP. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Disponível em: http://www.inep.gov.br/censo/basica/dataescolabrasil. [ Links ]
13. Jelliffe DB. Evaluación del estado de nutrición de la comunidad. Organización Mundial de Salud, Ginebra, 1968. (OMS -Série de monografías-53). [ Links ]
14. World Health Organization. Obesity - Preventing and managing the global epidemic. Geneva, WHO, 1998 (Report of a WHO Consultation on Obesity). [ Links ]
15. World Health Organization. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization 2007; 85: 660-667. [ Links ]
16. Lohman TG. Assesing fat distribuition. In: Advances in body composition assessment: current issues in exercise science. Illinois, Human Kinetics. Champaign, 1992, pp. 57-63. [ Links ]
17. Sociedade Brasileira de Cardiologia. I Diretriz de Prevenção da Aterosclerose na infância e adolescência. Arq Bras Cardiol 2005; 85 (Suppl. 4): S1-S36. [ Links ]
18. Sociedade Brasileira de Cardiologia. III Diretrizes Brasileiras sobre Dislipidemias e Diretriz de Prevenção da Aterosclerose do Departamento de Aterosclerose da Sociedade Brasileira de Cardiologia. Arq Bras Cardiol 2001; 77 (Suppl. 3): 1-48. [ Links ]
19. Marshall WA, Tanner JM. Variation in the pattern of pubertal changes in boys. Arch Dis Child 1970; 45 (239): 13-23. [ Links ]
20. Marshall WA, Tanner JM. Variation in the pattern of pubertal changes in girls. Arch Dis Child 1969; 44 (235): 291-303. [ Links ]
21. Torrejon C, Hevia M, Ureta E, Valenzuela X, Balboa P. Grosor de la intima-media de la arteria carotida en adolescentes obesos y su relación con el síndrome metabólico. Nutr Hosp 2012; 27(1): 192-197. [ Links ]
22. Cordero MJA, Jiménez EG, Perona JS, López CAP, Ferre JA, Hita EO et al. Obesidad y su relación con marcadores de inflamación y ácidos grasos de eritrocito en un grupo de adolescentes obesos. Nutr Hosp 2012; 27 (1): 161-164. [ Links ]
23. Oliveira RMS, Franceschini SCC, Rosado GP, Priore SE. Influência do Estado Nutricional Pregresso sobre o Desenvolvimento da Síndrome Metabólica em Adultos. Arq Bras Cardiol 2009; 92 (2): 107-112. [ Links ]
24. Carvalho DF, Paiva AA, Melo ASO, Ramos AT, Medeiros JS, Medeiros CCM et al. Perfil lipídico e estado nutricional de adolescentes. Rev Bras Epidemiol 2007; 10 (4): 491-8. [ Links ]
25. Reis EC, Kip KE, Marroquin OC, Kiesau M, Hipps L Jr, Peters RE, Reis SE. Screening Children to Identify Families at Increased Risk for Cardiovascular Disease. Pediatrics 2006; 118 (6): 1789-97. [ Links ]
26. Jago R, Baranowski T, Watson K, Baranowski JC, Nicklas T, Zakeri IF. Relationships Between Maternal and Child Cardiovascular Risk Factors Ethnic Differences and Lack of Influence of Physical Activity. Arch Pediatr Adolesc Med 2004; 158 (12):1125-31. [ Links ]
27. Fernandes RA, Casonatto J, Christofaro DGD, et al. Riscos para o excesso de peso entre adolescentes de diferentes classes socioeconómicas. Rev Assoc Med Bras 2008; 54 (4):334-338. [ Links ]
28. Treuth MS, Butte NF, Sorkin JD. Predictors of body fat gain in nonobese girls with a familial predisposition to obesity. Am J Clin Nutr 2003; 78 (6): 1212-8. [ Links ]
29. Ramos de Marins VM; Almeida RM; Pereira RA; de Azevedo Barros MB. The relationship between parental nutritional status and overweight children/adolescents in Rio de Janeiro, Brazil. Public Health 2004; 118 (1): 43-9. [ Links ]
30. Terres NG, Pinheiro RT, Horta BL, Pinheiro KAT, Horta LL. Prevalência e fatores associados ao sobrepeso e a obesidade em adolescentes. Rev Saúde Pública 2006; 40 (4): 627-33. [ Links ]
31. Jiménez EG, Cordero MJA, García CJG, Lopez PG, Ferre JA, López AP et al. Influencia del entorno familiar en el desarrollo del sobrepeso y la obesidad en una población de escolares de Granada (España). Nutr Hosp 2012; 27 (1): 177-184. [ Links ]
32. Davison KK, Birch LL. Child and parent characteristics as predictors of change in girls' body mass index. Int J Obes Relat Metab Disord 2001; 25 (12): 1834-42. [ Links ]
33. Davison KK, Lori AF, Leann LB. Reexamining obesigenic families: parents' obesity-related behaviors predict girls' change in BMI. Obes Res 2005; 13 (11): 1980-90. [ Links ]
Otaviana Cardoso Chaves
Rua Delfin Moreira, 84
CEP: 35365.000 Abre Campo, MG. Brazil