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FAMILY HISTORY IS ASSOCIATED WITH THE PRESENCE OF DYSLIPIDEMIA IN PRE-SCHOOL CHILDREN

ABSTRACT

Objective:

To evaluate the association between family history and the presence of dyslipidemia in children.

Methods:

A cross-sectional study with 257 children aged 4 to 7 years old from Viçosa, Minas Gerais, Southeast Brazil. Nutritional status and lipid profile (total cholesterol, cholesterol fractions, and triglyceride) assessments and an active search for a family history of dyslipidemia in parents were carried out. Pearson’s chi-square test was used to identify associations, and Student’s t-test was used to compare means. A Poisson regression analysis was performed to assess the independent association between family history and the presence of dyslipidemia in children. A significance level of 5% was adopted.

Results:

Children of parents with dyslipidemia had higher serum concentrations of total cholesterol and triglycerides. In a regression analysis after adjustments, the presence of dyslipidemia in the father or in the mother (OR: 2.43; 95%CI 1.12-5.27), as well as the presence of dyslipidemia in both the father and the mother (OR: 5.62; 95%CI 2.27-13.92) were associated with hypertriglyceridemia in children. Children of parents with dyslipidemia had a higher prevalence of elevated low-density lipoproteins (LDL-c) (OR: 1.52; 95%CI 1.18-1.97).

Conclusions:

An investigation of the family history of dyslipidemia should be made as part of the protocol to verify the presence of hypertriglyceridemia and dyslipidemia in children.

Keywords:
Child; Parents; Dyslipidemia; Hypertriglyceridemia; Cardiovascular diseases

RESUMO

Objetivo:

Avaliar a associação entre história familiar e presença de dislipidemias em crianças.

Métodos:

Estudo transversal com 257 crianças de 4 a 7 anos de idade do município de Viçosa, Minas Gerais. Foram realizadas avaliações do estado nutricional e do perfil lipídico (colesterol total e frações e triglicerídeos), além do registro de história de dislipidemia dos pais. Para análise estatística, foi utilizado o teste do qui-quadrado de Pearson para identificar associações e teste t de Student para comparação de médias. Foi realizada análise de regressão de Poisson para avaliar a associação independente entre história familiar e a presença de dislipidemia em crianças, sendo adotado o nível de significância estatística de 5%.

Resultados:

Crianças com pais dislipidêmicos apresentaram maiores concentrações séricas de colesterol total e triglicerídeos. Na análise de regressão após ajuste, a presença de dislipidemia no pai ou na mãe (RP: 2,43; IC95% 1,12-5,27) bem como a presença de dislipidemia no pai e na mãe (RP: 5,62; IC95% 2,27-13,92) estiveram associadas à hipertrigliceridemia nas crianças. Crianças com pais e mães dislipidêmicos apresentaram maior prevalência de lipoproteína de baixa densidade (LDL-c) elevada (RP: 1,52; IC95% 1,18-1,97).

Conclusões:

A investigação da história familiar de dislipidemia deve fazer parte de protocolos para verificar a presença de hipertrigliceridemia e dislipidemias na infância.

Palavras-chave:
Criança; Pais; Dislipidemias; Hipertrigliceridemia; Doenças cardiovasculares

INTRODUCTION

Dyslipidemia occurs when lipoproteins are metabolically altered such that high serum concentrations of total cholesterol (TC), low density lipoproteins (LDL-c) and triglycerides (TG) are observed, as well as low serum concentrations of high density lipoproteins (HDL-c).11. Xavier HT, Izar MC, Faria Neto JR, Assad MH, Rocha VZ, Sposito AC, et al. V Diretriz brasileira de dislipidemias e prevenção da aterosclerose. Arq Bras Cardiol. 2013;101:1-20. Genetic factors, being overweight, sedentary behavior and poor nutrition may contribute to the onset of childhood dyslipidemia.22. Zhang S, Liu X, Necheles J, Tsai HJ, Wang G, Wang B, et al. Genetic and environmental influences on serum lipid tracking: a population-based, longitudinal Chinese twin study. Pediatr Res. 2010;68:316-22.,33. Nobre LN, Lamounier JA, Franceschini SC. Sociodemographic, anthropometric and dietary determinants of dyslipidemia in preschoolers. J Pediatr (Rio J). 2013;89:462-9.

The presence of dyslipidemia is the basis for the development of atherosclerosis, which can begin in childhood and extend into adolescence and adulthood.44. Wiegman A, Gidding SS, Watts GF, Chapman MJ, Ginsberg HN, Cuchel M, et al. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment. Eur Heart J. 2015;36:2425-37. Therefore, the identification of children at risk for dyslipidemia is essential in the effort to reduce morbidity and mortality due to cardiometabolic diseases.55. Berenson GS, Srinivasan SR, Bao W, Newman WP, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338:1650-6.

Family history is one of the main factors that can detect dyslipidemia, as it is based on heredity, eating habits and the lifestyles shared by familes.66. National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents. Summary report. Pediatrics. 2011;128:S213-56. Parents are actively involved in the formation of children’s eating habits and physical activity routines since they are the ones that provide food and set examples of eating habits and meal times. Additionally, they pass on their preferences for specific foods and brands.77. Burrows R, Atalah E, Leiva L, Rojas P, Maza MP, Vásquez F, et al. Metabolic syndrome prevalence in Chilean children and adolescent with family history of chronic noncommunicable diseases. Arch Latinoam Nutr. 2012;62:155-60.

Considering the influence of family history on children’s health, knowing if dyslipidemia is present in the family history may contribute to more effective public health measures. Brazilian studies that deal with this subject are scarce, since, for the most part, family history of dyslipidemia is not an evaluated as a main variable. Thus, the objective of this study was to evaluate the association between family history and the presence of dyslipidemia in children.

METHOD

The present research presents a cross-sectional study of children belonging to a retrospective birth cohort at the only maternity hospital in Viçosa, Minas Gerais. The children received medical supervision from the Lactation Support Program (Programa de Apoio à Lactação - PROLAC) in the first year of their life and were reassessed between the ages of 4 to 7 years old. PROLAC is a program of the Universidade Federal de Viçosa (UFV) in partnership with the municipality’s Human Milk Bank (Banco de Leite Humano - BLH).

This age group was decided upon due to the fact that their growth rate was practically constant between the end of their third year of life and the beginning of puberty.88. Monte O, Longui CA, Calliari LE, Kochi C, editors. Endocrinologia para o pediatra. 2nd ed. São Paulo: Atheneu; 1998.

Based on information collected from PROLAC care records, and considering the inclusion criteria of the study - identification data that revealed the children’s location, if they had a full-term birth, appropriate weight, and a date of birth compatible with the ages between 4 and 7 years old at the time of the study - 371 children were eligible for this study. Of the eligible children, 78 were not located (change of address) after at least 3 attempts to locate the children through home visits, 12 were not authorized by their parents to participate, 17 did not complete all stages of the study and 7 had health problems that prevented them from participating. Thus, the final sample of the present study was 257 children. A schematic representation of the data collection and sample losses are shown in Figure 1.

Figure 1:
Schematic representation of the data collection and the study sample.

Based on the means and standard deviations of children of mothers with dyslipidemia (178.0 ± 37.6 mg/dL) and mothers without dyslipidemia (165.2 ± 23.3 mg/dL), the sample had a power of 98.9% for a confidence level of 95%. The analysis was performed using the Open Epi Online Program.

The gender and age of the children were obtained through a semi-structured socioeconomic and demographic questionnaire, which was then used as an adjustment in the Poisson regression analysis. Gender was dichotomously categorized and age was assessed as a continuous variable (months).

To evaluate nutritional status, the following items were measured: weight, from an electronic digital scale with a maximum capacity of 150 kg and a sensitivity of 50 g; height, using a vertical stadiometer attached to the wall, with a range of 2m, divided into centimeters and subdivided into millimeters according to standards recommended by Jelliffe.99. Jelliffe DB. Evaluación del estado de nutrición de la comunidad (con especial referencia a las encuestas en las regiones en desarrollo). Ginebra: Organización Mundial de Salud; 1968. WHO AnthroPlus software (World Health Organization, Geneva, Switzerland)1010. World Health Organization [homepage on the Internet]. WHO AnthroPlus for personal computers: Software for assessing growth of the world's children and adolescents. Geneva: WHO; 2009 [cited 2017 Feb 02]. Available from: http://www.who.int/childgrowth/software/en/
http://www.who.int/childgrowth/software/...
was used to obtain body mass index by age (BMI/A) in a Z score, and to diagnose the nutritional status of the children, according to growth curves from the World Health Organization (WHO), and adopted by the Ministry of Health.1111. World Health Organization [homepage on the Internet]. WHO Child growth standards. Geneva: WHO; 2006 [cited 2017 Feb 02]. Available from: http://www.who.int/childgrowth/en/
http://www.who.int/childgrowth/en/...
,1212. World Health Organization [homepage on the Internet]. WHO Growth reference data for 5-19 years. Geneva: WHO; 2007 [cited 2015 Feb 02]. Available from: http:// www.who.int/growthref/en/
http:// www.who.int/growthref/en/...
For the purpose of analysis, overweight and obese children were classified as being overweight.

After the children had fasted for 12-hours, their blood samples were collected for an analysis of the following biochemical parameters: TC, LDL-c, HDL-c, and TG.

The analyses were performed from the blood serum after the material was centrifuged in the Centrifuge model 206BL Excelsa (FANEM, São Paulo, Brazil) for 10 min at 3,500 rpm. TC, HDL-c and TG were measured according to the enzymatic colorimetric method, and automated using Cobas Mira Plus equipment (Roche Corporation, Montclair, USA). LDL-c serum concentrations were calculated using the Friedwald formula, since no TG value was greater than 400 mg/dL.1313. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499-502. In addition, the ratios between TC/HDL-c, LDL-c / HDL-c and TG / HDL-c were calculated. These ratios accurately predict the presence of subclinical atherosclerosis and coronary disease in children and adults.1414. Frontini MG, Srinivasan SR, Xu J, Tang R, Bond MG, Berenson GS. Usefulness of childhood non-high density lipoprotein cholesterol levels versus other lipoprotein measures in predicting adult subclinical atherosclerosis: the Bogalusa Heart Study. Pediatrics. 2008;121:924-9.,1515. Schmidt MD, Dwyer T, Magnussen CG, Venn AJ. Predictive associations between alternative measures of childhood adiposity and adult cardio-metabolic health. Int J Obes (Lond). 2011;35:38-45.

The lipid profile was classified according to the I Guidelines for the Prevention of Atherosclerosis in Childhood and Adolescence from the Brazilian Society of Cardiology (I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência da Sociedade Brasileira de Cardiologia).1515. Schmidt MD, Dwyer T, Magnussen CG, Venn AJ. Predictive associations between alternative measures of childhood adiposity and adult cardio-metabolic health. Int J Obes (Lond). 2011;35:38-45. A change in at least one lipid profile marker was considered sufficient to classify dyslipidemia.1616. Sociedade Brasileira de Cardiologia. I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência. Arq Bras Cardiol. 2005;85:S1-36.

The family history of dyslipidemia was self-reported through a semi-structured questionnaire filled-out by parents. There was considered to be a family history of dyslipidemia when the father or mother also had dyslipidemia.

Statistical analyzes were performed using the Social Package Statistical Science program (SPSS) for Windows version 20 (IBM Corporation, Chicago, USA). The Kolmogorov Smirnov normality test was applied, and a descriptive analysis of the data was carried out using frequency, central tendency and dispersion measurements. Pearson’s chi square test was performed to identify associations between the frequency of changes in the lipid profile and family history of dyslipidemia. The Student’s t test was used to compare the mean values ​​of the lipid profile markers between the two independent groups (children with and without a family history of dyslipidemia). Analysis of variance (ANOVA), with Tukey’s post hoc test, was used for comparing the three groups (no family history; father or mother has dyslipidemia; and father and mother both have dyslipidemia).

Poisson regression models with robust variance were used to evaluate the association of family history of dyslipidemia (independent variable) with hypercholesterolemia, low ­HDL-c, high LDL-c, and hypertriglyceridemia in children (dependent variables). The analysis was adjusted for gender, age and nutritional status (normal weight and overweight individuals). The suitability of the regression models was assessed by the Hosmer Lemeshow test (Goodness of fit test). For all of the tests performed, the level of statistical significance adopted was 5%.

This study was approved by the UFV Human Research Ethics Committee (nº 094/2011), and the children were included only after their parents or guardian signed an informed consent form.

RESULTS

A total of 257 children, with a mean age of 71.5 ± 12.5 months (data not shown) were evaluated. The majority of them were male (55.3%) and had elevated TC (75.1%) and LDL-c (56.4%). The prevalence of family history of dyslipidemia was 22.6% -- 11.8% in mothers and 17.5% in fathers (data not shown). The family history of dyslipidemia was associated with the presence of hypertriglyceridemia in children (Table 1).

Table 1:
Changes in the lipid profile according to family history of dyslipidemia in children.

We observed that children with a family history of dyslipidemia had higher serum concentrations of TC (p=0.016), TG (p<0.001), and higher TC / HDL-c (p=0.010) and TG / HDL-c (p=0.002) ratios (Table 2).

Table 2:
Lipid profile markers according to family history of dyslipidemia in children.

Children of parents with dyslipidemia had higher serum concentrations of TC and TG compared to those without a family history of dyslipidemia (Figure 2). In the regression analysis, we observed that the presence of dyslipidemia in both the father and the mother increased the prevalence of elevated LDL-c in children (PR: 1.52; 95%CI 1.18-1.97; p=0.001). The presence of dyslipidemia in at least one of the parents increased the prevalence of hypertriglyceridemia in children (PR: 2.43; 95%CI 1.12-5.27; p=0.020); and was even greater when both parents had it (PR: 5.62; 95%CI 2.27-13.92; p<0.001) (Table 3).

Table 3:
Crude and adjusted prevalence ratios of changes in lipid profile according to family history of dyslipidemia in children.

Figure 2:
Lipid profile markers in accordance with family history of dyslipidemia.

DISCUSSION

This study demonstrated that a family history of dyslipidemia was associated with the worse lipid profile in children, with an emphasis on the presence of hypertriglyceridemia. The presence of dyslipidemia in both the father and the mother increased the prevalence of elevated LDL-c, regardless of gender, age and nutritional status.

Many studies have shown the importance of the family history of dyslipidemia for the development of various cardiometabolic alterations,1717. Wiegman A, Rodenburg J, Jongh S, Defesche JC, Bakker HD, Kastelein JJ, et al. Family history and cardiovascular risk in familial hypercholesterolemia: data in more than 1000 children. Circulation. 2003;107:1473-8.,1818. Strufaldi MW, Souza FI, Puccini RF, Franco MC. Family history of cardiovascular disease and non-HDL cholesterol in prepubescent non-obese children. Rev Assoc Med Bras. 2016;62:347-52. however, the present study is one of the few that analyzes Brazilian children. Similar to the results found in the present study, a family history of dyslipidemia was a risk factor for its development in Chinese children.1919. Liao Y, Liu Y, Mi J, Tang C, Du J. Risk factors for dyslipidemia in Chinese children. Acta Paediatr. 2008;97:1449-53. It is important to consider that the high prevalence of dyslipidemia in children may be associated with genetic and inappropriate lifestyle factors shared between parents and children, such as food consumption and amount of physical activity.2020. Ribeiro RQ, Lotufo PA, Lamounier JA, Oliveira RG, Soares JF, Botter DA. Additional cardiovascular risk factors associated with excess weigth in children and adolescents. The belo horizonte heart study. Arq Bras Cardiol. 2006;86:408-18.,2121. Alcântara Neto OD, Silva RC, Assis AM, Pinto EJ. Factors associated with dyslipidemia in children and adolescents enrolled in public schools of Salvador, Bahia. Rev Bras Epidemiol. 2012;15:335-45.,2222. Moschonis G, Mavrogianni C, Karatzi K, Iatridi V, Chrousos GP, Lionis C, et al. Increased physical activity combined with more eating occasions is beneficial against dyslipidemias in children. The Healthy Growth Study. Eur J Nutr. 2013;52:1135-44.

Some studies with other populations have shown the importance of performing screenings to identify a family history of dyslipidemia in children.2323. Wilson JM, Jungner G, editors. Principles and practice of screening for disease. Geneva: WHO; 1968.,2424. Kwiterovich PO, Gidding SS. Universal screening of cholesterol in children. Clin Cardiol. 2012;35:662-4.,2525. Galema-Boers JM, Versmissen J, Lennep HW, Dusault-Wijkstra JE, Williams M, Lennep JE. Cascade screening of familial hypercholesterolemia must go on. Atherosclerosis. 2015;242:415-7. It is known that familial hypercholesterolemia is a common genetic cause of premature coronary disease and is an autosomal dominant disorder present even in individuals with a healthy lifestyle. A diagnosis of familial hypercholesterolemia is based on phenotypic criteria, involving high serum concentrations of LDL-c, plus a family history of elevated LDL-c, premature coronary disease and/or genetic diagnoses.44. Wiegman A, Gidding SS, Watts GF, Chapman MJ, Ginsberg HN, Cuchel M, et al. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment. Eur Heart J. 2015;36:2425-37. However, an under-diagnosis of familial hypercholesterolemia in children is observed, which points to the need to implement regular screening strategies.2626. Dixon DB, Kornblum AP, Steffen LM, Zhou X, Steinberger J. Implementation of lipid screening guidelines in children by primary pediatric providers. J Pediatr. 2014;164:572-6.

It is worth mentioning that, at a pre-school age, parents have a greater influence over eating behaviors and lifestyle.2727. Larsen JK, Hermans RCJ, Sleddens EF, Engels RC, Fisher JO, Kremers SP. How parental dietary behavior and food parenting practices affect children's dietary behavior. Interacting sources of influence? Appetite. 2015;89:246-57.,2828. Vollmer RL, Adamsons K, Foster JS, Mobley AR. Association of fathers' feeding practices and feeding style on preschool age children's diet quality, eating behavior and body mass index. Appetite. 2015;89:274-81. Considering the high prevalence of lipid profile alterations in this sample, there is a need for public policies that stimulate family involvement in the adoption of healthy living habits.

We observed a high prevalence of high serum concentrations of TC (75.1%) and LDL-c (56.4%) in children. Other studies have reported similar results, such as the one performed in Diamantina, Minas Gerais, which demonstrated low serum concentrations of HDL-c (81.7%) and high serum concentrations of TC (49.3%), LDL-c (30.4%), and TG (2.6%) in pre-school children.33. Nobre LN, Lamounier JA, Franceschini SC. Sociodemographic, anthropometric and dietary determinants of dyslipidemia in preschoolers. J Pediatr (Rio J). 2013;89:462-9. In the state of Pernambuco, 24 and 6% of children and adolescents, respectively, had borderline and elevated serum concentrations of TC, and around 15 and 10% of the sample had borderline and elevated LDL-c serum concentrations.2929. Franca E, Alves JG. Dyslipidemia among adolescents and children from Pernambuco. Arq Bras Cardiol. 2006;87:722-7. These results indicate the need to establish public policies that stimulate behavioral change in children, combating unhealthy eating habits and preventing the onset of cardiometabolic diseases.

Excess LDL-c particles cause atherosclerosis, a chronic inflammatory disease that occurs in response to endothelial aggression, and includes the innermost layer of medium- and large-caliber arteries.3030. Ross R. Atherosclerosis-an inflammatory disease. N Engl J Med. 1999;340:115-26. LDL-c is oxidized and accumulates in the artery wall, stimulating the formation of leukocyte adhesion molecules. In turn, these molecules attract lymphocytes and monocytes into the arterial wall. Monocytes differentiate into macrophages, which pick up oxidized LDL-c, forming the foam cells. These cells stimulate the secretion of cytokines and proteolytic enzymes, causing the destruction of endothelial tissue.3131. Hansson GK. Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med. 2005;352:1685-95.

Hypertriglyceridemia results from the accumulation of chylomicrons and/or very low-density lipoproteins (VLDL-c), because of the reduction of TG hydrolysis of these lipoproteins by lipoprotein lipase or by the increase in the synthesis of VLDL-c. Depending on the origin of the TG - whether it is exogenous (chylomicron) or endogenous (VLDL-c) - changes in dietary habits are required, which include a reduction in the intake of fats and/or carbohydrates, and an increase in physical activity.11. Xavier HT, Izar MC, Faria Neto JR, Assad MH, Rocha VZ, Sposito AC, et al. V Diretriz brasileira de dislipidemias e prevenção da aterosclerose. Arq Bras Cardiol. 2013;101:1-20.

A family history of dyslipidemia was associated with higher TC/HDL-c and TG/HDL-c ratios. Studies evaluating this association are scarce. However, there is evidence in the literature of the association of these indices with higher concentrations of C-reactive protein (us-CRP),3232. Agirbasli M, Tanrikulu A, Acar Sevim B, Azizy M, Bekiroglu N. Total cholesterol-to-high-density lipoprotein cholesterol ratio predicts high-sensitivity C-reactive protein levels in Turkish children. J Clin Lipidol. 2015;9:195-200.,3333. Pacifico L, Bonci E, Andreoli G, Romaggioli S, Di Miscio R, Lombardo CV, et al. Association of serum triglyceride-to-HDL cholesterol ratio with carotid artery intima-media thickness, insulin resistance and nonalcoholic fatty liver disease in children and adolescents. Nutr Metab Cardiovasc Dis. 2014;24:736-43. central obesity, insulin resistance, metabolic syndrome, and thickness of the inner and middle layer of the carotid artery in children.3333. Pacifico L, Bonci E, Andreoli G, Romaggioli S, Di Miscio R, Lombardo CV, et al. Association of serum triglyceride-to-HDL cholesterol ratio with carotid artery intima-media thickness, insulin resistance and nonalcoholic fatty liver disease in children and adolescents. Nutr Metab Cardiovasc Dis. 2014;24:736-43.

One of the limitations of this study was that the information regarding family history of dyslipidemia was self-reported. On the other hand, many studies have demonstrated that the self-reporting of diseases is valid and can be used in triage and epidemiological studies.3434. Martin LM, Leff M, Calonge N, Garrett C, Nelson DE. Validation of self-reported chronic conditions and health services in a managed care population. Am J Prev Med. 2000;18:215-8.,3535. Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57:1096-103. Another limitation is the study’s cross-sectional design, which makes it impossible to infer a cause and effect relationship. Therefore, further studies are needed to assess how family history can determine the risk for dyslipidemia in children. This interaction is multifactorial, encompassing cultural, genetic and environmental aspects.3636. Giuliano IC, Coutinho MS, Freitas SF, Pires MM, Zunino JN, Ribeiro RQ. Serum lipids in school kids and adolescents from Florianópolis, SC, Brazil - Healthy Floripa 2040 study. Arq Bras Cardiol. 2005;85:85-91.

This study allowed us to consider the importance of family history of dyslipidemia as a way to screen for the risks for hypertriglyceridemia and elevated LDL-c in children. Family involvement can be a way to prevent the onset of these changes in childhood and can even control these diseases that are already present in the parents.

REFERÊNCIAS

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    Xavier HT, Izar MC, Faria Neto JR, Assad MH, Rocha VZ, Sposito AC, et al. V Diretriz brasileira de dislipidemias e prevenção da aterosclerose. Arq Bras Cardiol. 2013;101:1-20.
  • 2
    Zhang S, Liu X, Necheles J, Tsai HJ, Wang G, Wang B, et al. Genetic and environmental influences on serum lipid tracking: a population-based, longitudinal Chinese twin study. Pediatr Res. 2010;68:316-22.
  • 3
    Nobre LN, Lamounier JA, Franceschini SC. Sociodemographic, anthropometric and dietary determinants of dyslipidemia in preschoolers. J Pediatr (Rio J). 2013;89:462-9.
  • 4
    Wiegman A, Gidding SS, Watts GF, Chapman MJ, Ginsberg HN, Cuchel M, et al. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment. Eur Heart J. 2015;36:2425-37.
  • 5
    Berenson GS, Srinivasan SR, Bao W, Newman WP, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338:1650-6.
  • 6
    National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents. Summary report. Pediatrics. 2011;128:S213-56.
  • 7
    Burrows R, Atalah E, Leiva L, Rojas P, Maza MP, Vásquez F, et al. Metabolic syndrome prevalence in Chilean children and adolescent with family history of chronic noncommunicable diseases. Arch Latinoam Nutr. 2012;62:155-60.
  • 8
    Monte O, Longui CA, Calliari LE, Kochi C, editors. Endocrinologia para o pediatra. 2nd ed. São Paulo: Atheneu; 1998.
  • 9
    Jelliffe DB. Evaluación del estado de nutrición de la comunidad (con especial referencia a las encuestas en las regiones en desarrollo). Ginebra: Organización Mundial de Salud; 1968.
  • 10
    World Health Organization [homepage on the Internet]. WHO AnthroPlus for personal computers: Software for assessing growth of the world's children and adolescents. Geneva: WHO; 2009 [cited 2017 Feb 02]. Available from: http://www.who.int/childgrowth/software/en/
    » http://www.who.int/childgrowth/software/en/
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    » http://www.who.int/childgrowth/en/
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    » http:// www.who.int/growthref/en/
  • 13
    Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499-502.
  • 14
    Frontini MG, Srinivasan SR, Xu J, Tang R, Bond MG, Berenson GS. Usefulness of childhood non-high density lipoprotein cholesterol levels versus other lipoprotein measures in predicting adult subclinical atherosclerosis: the Bogalusa Heart Study. Pediatrics. 2008;121:924-9.
  • 15
    Schmidt MD, Dwyer T, Magnussen CG, Venn AJ. Predictive associations between alternative measures of childhood adiposity and adult cardio-metabolic health. Int J Obes (Lond). 2011;35:38-45.
  • 16
    Sociedade Brasileira de Cardiologia. I Diretriz de Prevenção da Aterosclerose na Infância e na Adolescência. Arq Bras Cardiol. 2005;85:S1-36.
  • 17
    Wiegman A, Rodenburg J, Jongh S, Defesche JC, Bakker HD, Kastelein JJ, et al. Family history and cardiovascular risk in familial hypercholesterolemia: data in more than 1000 children. Circulation. 2003;107:1473-8.
  • 18
    Strufaldi MW, Souza FI, Puccini RF, Franco MC. Family history of cardiovascular disease and non-HDL cholesterol in prepubescent non-obese children. Rev Assoc Med Bras. 2016;62:347-52.
  • 19
    Liao Y, Liu Y, Mi J, Tang C, Du J. Risk factors for dyslipidemia in Chinese children. Acta Paediatr. 2008;97:1449-53.
  • 20
    Ribeiro RQ, Lotufo PA, Lamounier JA, Oliveira RG, Soares JF, Botter DA. Additional cardiovascular risk factors associated with excess weigth in children and adolescents. The belo horizonte heart study. Arq Bras Cardiol. 2006;86:408-18.
  • 21
    Alcântara Neto OD, Silva RC, Assis AM, Pinto EJ. Factors associated with dyslipidemia in children and adolescents enrolled in public schools of Salvador, Bahia. Rev Bras Epidemiol. 2012;15:335-45.
  • 22
    Moschonis G, Mavrogianni C, Karatzi K, Iatridi V, Chrousos GP, Lionis C, et al. Increased physical activity combined with more eating occasions is beneficial against dyslipidemias in children. The Healthy Growth Study. Eur J Nutr. 2013;52:1135-44.
  • 23
    Wilson JM, Jungner G, editors. Principles and practice of screening for disease. Geneva: WHO; 1968.
  • 24
    Kwiterovich PO, Gidding SS. Universal screening of cholesterol in children. Clin Cardiol. 2012;35:662-4.
  • 25
    Galema-Boers JM, Versmissen J, Lennep HW, Dusault-Wijkstra JE, Williams M, Lennep JE. Cascade screening of familial hypercholesterolemia must go on. Atherosclerosis. 2015;242:415-7.
  • 26
    Dixon DB, Kornblum AP, Steffen LM, Zhou X, Steinberger J. Implementation of lipid screening guidelines in children by primary pediatric providers. J Pediatr. 2014;164:572-6.
  • 27
    Larsen JK, Hermans RCJ, Sleddens EF, Engels RC, Fisher JO, Kremers SP. How parental dietary behavior and food parenting practices affect children's dietary behavior. Interacting sources of influence? Appetite. 2015;89:246-57.
  • 28
    Vollmer RL, Adamsons K, Foster JS, Mobley AR. Association of fathers' feeding practices and feeding style on preschool age children's diet quality, eating behavior and body mass index. Appetite. 2015;89:274-81.
  • 29
    Franca E, Alves JG. Dyslipidemia among adolescents and children from Pernambuco. Arq Bras Cardiol. 2006;87:722-7.
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  • Funding: National Council for Scientific and Technological Development - CNPq. Process number: CNPQ 485124/2011-4.

Publication Dates

  • Publication in this collection
    26 July 2018
  • Date of issue
    Jan-Mar 2019

History

  • Received
    11 July 2017
  • Accepted
    18 Oct 2017
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