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Relationship between waist circumference and nutritional status, lipid profile and blood pressure in low socioeconomic level pre-school children

Abstracts

OBJECTIVE: To evaluate anthropometric data, blood lipid levels, blood pressure (BP) and waist circumference (WC) in preschool children. To relate WC with blood lipid levels and BP in obese and non-obese children. METHODS: In a transversal study we investigated 65 preschool children of low socioeconomic level in Santo André, São Paulo. The evaluation consisted of BP measurement (Task Force, 1996), weight (W), height (H) expressed as z score (WHO,1995) and body mass index (BMI), triglycerides, total and fractions of cholesterol blood levels (Kwiterovich and AHA). Statistical analysis: Fisher test and correlations. RESULTS: We observed high BP and lipid levels unrelated to nutritional status. WC was significantly and positively correlated to BMI and ZWH (r = 0,87 and r = 0,83, respectively). Using as a cut-off 75 percentile of WC we found an accuracy of 89,1% with 87,2% specificity and 70,6% sensitivity and predictive value (+) 66,7% and (-) 66,7%. There was no relationship between WC and lipid and BP levels. CONCLUSIONS: WC showed direct correlation with anthropometric indexes commonly used and in preschool children wasn’t predictor of cardiovascular risk.

Obesity; waist circumference; lipid levels


OBJETIVO: Avaliar o diagnóstico nutricional, o perfil lipídico, os níveis pressóricos e a medida de cintura em pré-escolares. Pretende-se ainda verificar se a medida de cintura está associada com índices antropométricos usuais no diagnóstico nutricional, perfil lipídico e pressão arterial em crianças obesas e eutróficas. MÉTODOS: Estudo transversal realizado com 65 pré-escolares de baixo estrato socioeconômico, em escola municipal de Santo André. As avaliações clínico-laboratoriais consistiram em: medida de PA (Task Force, 1996), peso (P) e estatura (E) expressos como escore z (OMS, 1995) e IMC (índice de massa corpórea); níveis séricos de triglicérides, colesterol total e frações (VLDL-c, HDL-c, LDL-c) (Kwiterowich e AHA). Análise estatística: Teste exato de Fisher e correlação. RESULTADOS: Observamos alto porcentual de inadequação da PA e lipídios séricos, independentemente da condição nutricional. A medida de cintura mostrou correlação positiva e significante com IMC e ZPE (r = 0,87 e r = 0,83; p < 0,001, respectivamente). Visando ao estudo do poder diagnóstico da cintura, utilizando-se como ponto de corte o percentil 75 da amostra dessa medida, tendo como padrão o ZPE, observou-se acurácia de 89,1%, especificidade de 87,2%, sensibilidade de 70,6%, e valores preditivos (+) 66,7% e (-) 66,7%. Não houve correlação significativa entre a cintura e o perfil lipídico e níveis pressóricos. CONCLUSÕES: A medida de cintura mostrou relação direta com os índices antropométricos habitualmente usados e não funcionou na faixa etária pré-escolar como preditor de risco cardiovascular.

Circunferência abdominal; obesidade; dislipidemia


ORIGINAL ARTICLE

Relationship between waist circumference and nutritional status, lipid profile and blood pressure in low socioeconomic level pre-school children

Roseli Saccardo Sarni; Fabíola Isabel Suano de Souza; Denise de Oliveira Schoeps; Priscila Catherino; Maria Carolina Cozzi Pires de Oliveira; Cristiane Félix Ximenes Pessotti; Cristiane Kochi; Fernando Antonio Basile Colugnati

Faculdade de Medicina do ABC e UNIFESP-EPM - São Paulo, SP - Brazil

Mailing Address Mailing Address: Roseli Saccardo Sarni Rua Renê Zamlutti, 94/52 04116-260 – São Paulo, SP - Brazil E-mail: rssarni@uol.com.br

ABSTRACT

OBJECTIVE: To evaluate anthropometric data, blood lipid levels, blood pressure (BP) and waist circumference (WC) in preschool children. To relate WC with blood lipid levels and BP in obese and non-obese children.

METHODS: In a transversal study we investigated 65 preschool children of low socioeconomic level in Santo André, São Paulo. The evaluation consisted of BP measurement (Task Force, 1996), weight (W), height (H) expressed as z score (WHO,1995) and body mass index (BMI), triglycerides, total and fractions of cholesterol blood levels (Kwiterovich and AHA). Statistical analysis: Fisher test and correlations.

RESULTS: We observed high BP and lipid levels unrelated to nutritional status. WC was signifi cantly and positively correlated to BMI and ZWH (r = 0,87 and r = 0,83, respectively). Using as a cut-off 75 percentile of WC we found an accuracy of 89,1% with 87,2% specifi city and 70,6% sensitivity and predictive value (+) 66,7% and (-) 66,7%. There was no relationship between WC and lipid and BP levels.

CONCLUSIONS: WC showed direct correlation with anthropometric indexes commonly used and in preschool children wasn’t predictor of cardiovascular risk.

Key words: Obesity, waist circumference, lipid levels.

Obesity has been clearly identified in literature as a critical risk factor for the development of cardiovascular diseases (CVD). However, other factors are known to play a part in that risk, whether the individual is obese or not. Among those factors, waist circumference stands out. It has been widely investigated in adults as part of the metabolic syndrome1 and more recently identified as a risk factor in the pediatric age range2,3,4.

Visceral fat increase is considered one of the most relevant risk factors for CVD, diabetes and other metabolic conditions5. Different methods used to study visceral fat are currently in use – one of the simplest, and easy to use and to reproduce is waist circumference5,6.

In a study carried out with severely obese children – mean age 10.15±2.01 years – abdominal fat index (sum of skinfolds as related to limbs) proved to be positively correlated to total cholesterol (TC) triglycerides (TG), LDL-c, and negatively to HDL-c. Marelli et al7 have found significant correlation between waist-hip ratio and TG level. Those results confirm that even in childhood severe obesity is related to lipid changes, and that abdominal adiposity is associated to profile worsening7,8.

Results from the Bogalusa Heart Study have also emphasized the relevance of body fat distribution, especially waist circumference. According to the authors, that measure may help identify lipid and serum insulin changes. Children with waist circumference in the 90 percentile reported mean values above those in the 10 percentile for LDL-c, and TG, and lower for HDL-c. Those differences – highly significant – showed not to be related to body weight or height for boys or girls, in all ethnic groups9.

Having in mind the already confirmed relevance of waist circumference in adults metabolic syndrome, as well as the perspectives of international literature pointing towards an association of that measure in childhood with morbid-mortality in adult age, we have decided to conduct the present study that focuses the following objectives: to assess nutritional diagnosis, lipid profile, blood pressure levels, and waist circumference in a sample of pre-schoolers in Santo André, São Paulo, S.P., Brazil. The purpose was to investigate whether waist circumference is associated to other usual anthropometric measures involved in obesity diagnosis, such as blood pressure and lipid profile in the population under study.

METHODS

Sample population was made up of 65 low socioeco­nomic level pre-schoolers, screened from a total of 297 children enrolled at the Municipal School in Santo André, São Paulo, Brazil (age range – from 4 years old to 6 years old and 11 months). School visit took place on 5 consecutive days (April, 2001) by researchers. Out of the total number, 84.2% (250/297) of pre-schoolers were evaluated. The protocol was approved by the Ethics Committee at the ABC Medical School.

Based on mean and standard deviation waist circum­ference measures in the obese (62.5cm – 5.01) and non-obese group (52.4cm – 3.9), the sample reporting 18 and 45 showed > 90% power for the 0.05 (5%) significance level. The sampsi procedure was used (software STATA 8.0).

The study only included children whose parents or guardians signed the written consent. Children with the following conditions were excluded from the study: chronic conditions (nephropathy, cardiopathy, endocrinopathy, collagenosis, neuropathies, and hepatopathies); genetic syndromes, immunodeficiencies, or those under systemic corticotherapy or current morbid condition.

Comparative analysis of the anthropometric assessment of the obese children included and not included in the study did not show statistically significant difference. BMI mean and SD was 20.76 kg/m2 (1.92) and 19.96 kg/m2 (2.05), for those included and not included, respectively (Student t-test, p=0.28).

Children were weighted on platform scales (capacity 150 kg, 100 g gradation), on a flat surface, with scale reviewed before every weighing procedure. Height was obtained from a stadiometer, with the T-square adjusted to scalp, in a straight angle with stadiometer, following Jellife recommendations10.

Based on weight and height data, weight indices were calculated for weight according to height (ZWH), height according to age (ZHA), and weight according to age (ZWA), all expressed in z score, and body mass index (BMI). Obese or undernourished children were those reporting 2 SD above or below reference pattern in relation to ZWH11, respectively.

Waist circumference was obtained through extensible measure tape with millimeter gradation by one examiner only, as recommended by MacCarthy HD et al, 200112.

Blood pressure (BP) was obtained through one single measure, by one examiner only, and values obtained were classified individually according to reference pattern for gender, age, and height percentile13.

Blood was collected (5 mL) through peripheral venopuncture after at least 12-hour fasting for TC, HDL-c, LDL-c, VLDL-c and TG (enzyme method)14. As reference for TC, LDL-c, HDL-c and TG, Kwiterowich15 pattern was used. For VLDL-c, the classification proposed by the American Heart Association16 was used.

Descriptive methods were used for the variables under study (median and interquartile intervals), and Fisher Exact Test for comparisons of those measures between obese and non-obese. In the study to correlate waist circumference and anthropometric indices for BMI and ZWH, linear correlation was used. In order to determine obesity diagnosis power for waist circumference, the sensitivity, specificity, positive and negative predictive value study was used in WC quartiles of population under study (percentiles 25, 50 and 75).Rejection level for null hypothesis was fixed at 0.05 or 5%.

RESULTS

Out of the 65 pre-schoolers under study, 53.8% (35/65) were males. Median age was 5.8 years. Obese children: 27.7% (18/65).

Table 2 shows medians and interquartile intervals for waist circumference, ZWH and BMI, among obese and non-obese. Statistically significant difference was found for all variables in the two groups.

BMI and ZWH were compared to waist through linear correlation (Table 3). It should be pointed out that the waist keeps statistically significant correlation with the two variables, both for the population in general as when genders are considered. Such result is also found in figure 1, as indicated by dispersion and by r values (linear correlation coefficient). No significant difference was found for that tendency between males and females (p=0.23 for BMI and p=0.30 for ZWH). The obese are seen to be concentrated in the upper corner in the figures. The groups are visually well discriminated.


Using percentile 75 as the cutt-off point for WC for the population under study (58.2cm), and ZWH as the pattern, accuracy reported is 89.1%, matching values for specificity, sensitivity, and positive and negative predictive values (Table 4).

No statistically significant correlation was found between WC and BP (SBP – systolic blood pressure and DBP – diastolic blood pressure) or lipid profile in the population under study. (Table 5). When WC was compared (characterized as quartiles: First quartile 45¬51; Second quartile 51¬53; Third quartile 53¬58; and Fourth quartile 58¬70) to BP and lipid profile – both for the population as a whole as for obese and non-obese – no statistically significant different was found either.

DISCUSSION

Metabolic syndrome or X-syndrome is defined as a set of risk factors for CVD, including: hyperinsulinemia/ insulin resistance, hypertension, dyslipidemia, obesity and glucose intolerance17. The association of that syndrome to CVD has been documented by epidemiological studies in children and adults18,19.

In our study, the prevalence of high BP level, the increase in TG, TC, LDL-c and VLDL-c, and low levels of HDL-c showed to be higher than that found in other papers carried out in Brazil, as the one with schoolers in Porto Alegre20, thus placing the population in our study – low socioeconomic level pre-schoolers—under high cardiovascular risk (Table 1).

The present study reported the correlation between waist circumference and BMI and ZWH, with straight correlation between those patterns while identifying adiposity level in pre-schoolers. (Figure 1, Table 2 and 3). A recent study carried out with 87 American children in the 4-11 age range, showed that waist circumference and fat percentage are extremely relevant factors for CVD. The present work defined values between 33% and 71 cm as the cut-off points for high risk of CVD: fat percentage (determined by dual X-ray absorptiometry – DXA) and waist circumference, respectively3.

Another cross-sectional, more recent study was carried out with 1,254 children in the 6-12 year-old age range, correlating anthropometric measures (waist included) and serum lipids and BP. The work showed strong waist correlation between increased SP and DP – stronger than that between body weight and tricipital and subscapular skinfolds. Through a multivariate linear analysis model we were able to also show that changes in SBP, DBP and HDL-c were significantly associated to waist circumference, thus pointing out its relevance: an easy to do and to put into practice measure, with good reproductibility4.

The results found in the present study are evidence that waist circumference is discriminating in the diagnosis for obesity. However, due to sample size, the quantification of such power in diagnosis – as sensitivity and specificity – must be interpreted with caution.

It is interesting to point out the similarity in the behavior of waist circumference between boys and girls (Table 2), which differs from adult individuals but do match results from studies with other children in similar age range as the one in our study3.

Age range effect should be investigated. The present study did not carry out that investigation due to sample size constraints. A British study carried out with 8,355 children – both boys and girls – where waist circumference was stratified in percentiles - showed that waist circumference average increases with age: for girls, the curve reaches a plateau before they are 13, whereas for boys, it goes on increasing quite strongly after 13. The authors point out the fact that such findings are related to Caucasian children characteristics, and encourage comparison with children from other countries12.

Obesity and abdominal fat distribution are associated to HDL-c reduction and TG increase, as shown by many studies with adults and teenagers21,22,23. Visceral fat is associated to the increase of circulating free fatty acids, hyperinsulinemia, insulin resistance, and increase of TG synthesis and VLDL-c secretion by the liver. In the light of all this, the definition of a cut-off point for waist circumference in children has been extensively investigated in the literature, since it has proven to be a better risk predictor for cardiovascular diseases than BMI24,25.

The present study has not reported correlation between waist measure and blood pressure levels or lipid profile (Table 5) - either for all children or when assessment is restrained to nutritional condition (obese and non-obese). That may have been due to age range and sample size constraints. NHANES III – a study carried out with 5,056 American children in the 4-11-year-old range - identified a positive, non-dependent relationship between waist-hip ratio and triglycerides level in pre-puberty children26.

In regard to BP, some studies have demonstrated a negative correlation between DBP and sensitivity to insulin, and a positive correlation with insulin levels, with no correlation, however, to adiposity in pre-puberty children27,28.

A definition of local patterns for central adiposity measures is, therefore, to be encouraged for pediatric age range. Although not conclusive at this point, studies as ours do encourage the investigation of this new measure (waist) while searching for cut-off points and reference distributions as a help tool in the diagnosis of obesity in childhood and in setting parameters for cardiovascular risk.

Potencial Conflict of Interest

No potential conflict of interest relevant to this article was reported.

REFERENCES

Received on 09/17/03

Accepted on 06/08/05

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  • Mailing Address:

    Roseli Saccardo Sarni
    Rua Renê Zamlutti, 94/52
    04116-260 – São Paulo, SP - Brazil
    E-mail:
  • Publication Dates

    • Publication in this collection
      28 Sept 2006
    • Date of issue
      Aug 2006

    History

    • Accepted
      08 June 2005
    • Received
      17 Sept 2003
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