Anthropometric status and lipid profile among children and adolescents: Changes after 18-month follow-up

Costa, Priscila Ribas de Farias; Santana, Mônica Leila Portela de; Leite, Luana de Oliveira; Damascena, Nadjane Ferreira; Nepomuceno, Carina Márcia Magalhães; Barreto, Jamile Rafaela Pereira da Silva; Kinra, Sanjay; Assis, Ana Marlúcia Oliveira

doi:10.1016/j.clnesp.2019.10.004

Cited by 5 publications

(6 citation statements)

References 24 publications

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“…Furthermore, the results are in line with patterns of BMI changes in early childhood as reported in previous studies. In particular, an early BMI increase was indicative of both high BMI in late adolescence [ 60 ] and increased TC [ 22 ], non-HDL, apolipoprotein B and apolipoprotein B/A1-ratio [ 10 ]. However, it is important to note that a sensitivity analysis showed that our main findings concerning TC, LDL-C and apolipoprotein B were insensitive to the inclusion of the LIFE Child Obesity cohort, highlighting the fact that unfavorable lipid profiles may exists before the definition of obesity is met.…”

Section: Discussionmentioning

confidence: 99%

“…Known risk factors include unfavorable lipid profiles [ 4 , 5 ], which have often been present for years before the actual diagnosis of CVDs [ 4 , 6 ]. Whilst unfavorable levels of total cholesterol (TC), low- and high-density lipoprotein cholesterol (LDL-C, HDL-C), triglycerides (TG), and apolipoproteins A1 and B (apolipoprotein A, apolipoprotein B) are related to distinct BMI trajectories [ 7 – 16 ] and weight status [ 17 – 22 ], they may promote the pathogenesis of atherosclerosis [ 23 ] independent of BMI [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Tracking of serum lipids in healthy children on a year-to-year basis

Maidowski,

Kiess,

Baber

et al. 2023

BMC Cardiovasc Disord

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Objectives To assess the stability of lipid profiles throughout childhood and evaluate their onset and dynamic. Materials and methods Lipid markers were longitudinally measured in more than 1300 healthy children from the LIFE Child study (Germany) and categorized into normal, at-risk, or adverse. Year-to-year intra-person persistence of the categories during follow-ups was examined and Pearson’s correlation coefficient was calculated. Results We found strong positive correlations for TC, LDL-C and ApoB (r > 0.75, p < 0.001) from the age of four years. Correlations were lowest during the first two years of life. Most children with normal levels also had normal levels the following year. Children with at-risk levels showed a tendency towards normal levels at the follow-up visit. Adverse levels of TC, LDL-C, ApoB (all ages), and HDL-C (from age 15) persisted in more than half of the affected children. Age-dependent patterns of stability were most pronounced and similar for TC, LDL-C, and ApoB. Conclusions Normal levels of serum lipids show high stability and adverse levels stabilized in early childhood for TC, LDL, and ApoB. At-risk and adverse levels of TC, LDL-C or ApoB may warrant further or repeated diagnostic measurements with regards to preventing CVD in the long run.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tracking of serum lipids in healthy children on a year-to-year basis

Maidowski,

Kiess,

Baber

et al. 2023

BMC Cardiovasc Disord

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“…A adolescência é um período crítico para o desenvolvimento do excesso de peso devido às mudanças corporais ocorridas na puberdade, além dos hábitos de vida como aqueles relacionados a alimentação rica em gorduras e carboidratos simples com alta densidade calórica. Diante disso, o crescimento na prevalência de excesso de peso é um fato preocupante face às inúmeras complicações associadas ao acúmulo de tecido adiposo, importante fator de risco para as doenças crônicas não transmissíveis (DCNT) [34][35][36] aumento na prevalência do excesso de peso infantojuvenil tem sido acompanhado do crescimento de alterações como dislipidemias, hipertensão arterial e diabetes mellitus tipo II 5,[37][38][39] . O IMC é um indicador frequentemente utilizado na avaliação do estado antropométrico por ser de fácil aplicação e interpretação, além de apresentar baixo custo.…”

Section: Anounclassified

“…Apesar da ausência de pontos de corte padronizados para classificação de CC na população pediátrica, esta é uma medida de avaliação antropométrica importante, considerada boa preditora de gordura visceral e associada com maior morbimortalidade cardiometabólica 43 . Investigações com adolescentes têm mostra-do que o aumento na média da CC está associado à elevação de triglicerídeos e colesterol total bem como maior chance de ter hipertensão 35,44,45 .…”

Section: Anounclassified

Variação temporal da ocorrência do excesso de peso e da obesidade abdominal em adolescentes da cidade de Salvador, Bahia, Brasil

Damascena

Costa²,

Queiroz³

et al. 2022

Ciênc. saúde coletiva

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Resumo O objetivo do estudo foi analisar a variação temporal da ocorrência do excesso de peso e da obesidade abdominal em adolescentes de escolas públicas de uma capital do nordeste brasileiro. Trata-se de um estudo incluindo informações de três levantamentos transversais realizados nos anos de 2001, 2009 e 2017, com 2.496 escolares de 10 a 18 anos de ambos os sexos, residentes na cidade de Salvador, Bahia. O excesso de peso foi avaliado por meio do Índice de Massa Corpórea para idade (IMC/I) e obesidade abdominal foi avaliada pela circunferência da cintura e razão cintura-estatura. A regressão Pooled OLS (Ordinary Least Squares), de efeito constante foi utilizada para avaliar a variação dos indicadores antropométricos ao longo do período. Os resultados deste estudo indicam que a prevalência de excesso de peso cresceu 103% e os indicadores da obesidade abdominal cresceram 153% e 142%, respectivamente no período analisado. Aumento na média do Índice de Massa Corpórea e da Razão cintura estatura foi maior entre as adolescentes e da média do IMC e da circunferência da cintura entre aqueles de 14 a 18 anos de idade. Conclui-se que houve expressivo crescimento nas prevalências do excesso de peso e da obesidade abdominal no período de 2001 a 2017 entre os adolescentes da cidade de Salvador.

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“…Also, a report from Brazil indicated that obesity assessed using percentage of body fat in children and adolescents explained one fifth of changes in levels of TC [9]. In addition, it was observed in a study that followed up children for a period of 18 months that a 1 cm increase in waist circumference contributed to a 0.50 mg/dl and 0.21 mg/dl increase in mean TG and TC concentrations respectively [10]. With respect to physical activity, a randomized cluster trial in Australia indicated that 50 minutes of physical education classes organized twice a week contributed to a reduction of the prevalence of elevated LDL-C in school children over a four-year period [11].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Predisposing Factors of Atherogenic Dyslipidemia in an Urban Pediatric Population in Cameroon

Navti¹,

Niba²,

Aphrodite³

et al. 2022

JBM

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Background: Dyslipidemia in childhood contributes to an increased risk of cardiovascular diseases later in life. This study sets out to determine the prevalence of dyslipidemia and describe the associations between selected variables and dyslipidemia in Cameroon urban children. Methods: This crosssectional hospital-based study included 415 children (188 boys and 227 girls) between the ages of 5 and 16 years. Dyslipidemia was defined as an abnormal value of one or more of the following lipids: Total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Percentage body fat (%BF) was estimated using bio-electric impedance analysis. A structured questionnaire was used by parents to report physical activity, screen time and eating habits of the children. Relationships between predictors and dyslipidemia were assessed using multiple binary logistic regression analyses. Results: The prevalence of dyslipidemia was 46.0%. Dyslipidemic children had significantly higher %BF, TG and LDL-C and lower HDL-C than the normal children (p < 0.05). In multivariate analysis, obesity (OR 5.2, 95% CI 1.7 -11.2, p = 0.004), short stature (OR 2.8, 95% CI 1.1 -6.8, p = 0.041), physical activity < 60 minutes/day (OR 4.2, 95% CI 2.3 -7.5, p < 0.001) and never/occasional consumption of fruits/ vegetables (OR 2.9, 95% CI 1.2 -7.1, p = 0.017) independently predicted dyslipidemia after adjusting for different variables. Conclusion: This study confirms that obesity, short stature, physical activity < 60 minutes/day and never/occasional consumption of fruits/vegetables were associated with dyslipidemia. Also, a high proportion of children had one or more lipid disorders.

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Anthropometric status and lipid profile among children and adolescents: Changes after 18-month follow-up

Cited by 5 publications

References 24 publications

Tracking of serum lipids in healthy children on a year-to-year basis

Tracking of serum lipids in healthy children on a year-to-year basis

Variação temporal da ocorrência do excesso de peso e da obesidade abdominal em adolescentes da cidade de Salvador, Bahia, Brasil

An Assessment of Predisposing Factors of Atherogenic Dyslipidemia in an Urban Pediatric Population in Cameroon

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