Abstract
Background
Upper body subcutaneous fat, estimated by neck circumference (NC), may present greater metabolic risk than visceral fat. The aim of this study was to determine cutoff values for NC in adolescents that identify overweight and obesity, the prevalence of elevated NC, and its association with associated factors.
Methods
Cross-sectional study with adolescents from public schools in São Paulo. Anthropometric variables, blood pressure and pubertal stage were collected. Cutoff values for NC were determined by Receiver Operating Characteristic curves. A binary logistic regression was used to determine relationships between NC and associated factors.
Results
Among 1668 adolescents studied, 54.92% were female. The cutoff values of NC in girls and boys that identified overweight were 31.25 and 34.25 cm, and obesity, 32.65 and 37.95 cm, respectively, and the prevalence of adolescents with high NC was 32.63% in females and 37.63% among males. NC for overweight was observed that there was an association with sex, weight, body mass index, arm, waist and thigh circumferences, pubertal stages and body fat percent (BF%). NC for obesity was found association with gender, weight, arm and thigh circumferences, and BF% (p < 0.001).
Conclusion
It was concluded that there is high prevalence of elevated NC and higher risks for this outcome considering overweight and obesity, sex, weight, arm and thigh circumferences, BF%, besides being an easy and simple measure for use in clinical practice.
Keywords: Neck circumference, Obesity, Overweight, Adolescents
Background
Overweight and obesity have a strong impact throughout the world, causing changes in metabolic parameters, which will increase the chance of occurrence of risk factors for developing cardiovascular disease, a major cause of mortality worldwide [1-5]. The high prevalence of overweight in adolescents has shown a significant increase, which certainly culminate in adults more obese and severely obese [4,6-8]. A work with 10-15 years adolescents in Sao Paulo found 23% of overweight students in public schools, and 33 % in private schools, and these two types of institution obesity was present in 8.21% and 7.83% and 9.91% of girls and 17.84% boys, respectively [9].
The fat located in the central region, visceral or subcutaneous, is strongly linked to the risk of developing diseases. Recently it has been discussed in the literature that other mechanisms or other deposits of fat and visceral fat may also contribute to the development of risk factors for cardiovascular diseases [10]. Upper body subcutaneous fat (UBSF) estimated by neck circumference (NC), may have a higher metabolic risk than abdominal visceral fat. From the anatomical viewpoint, UBSF is the only fat deposit located in a separate compartment compared to the abdominal visceral fat. Free fatty acids systemic concentration are determined primarily by the UBSF in relation to the lower subcutaneous fat, and the abdominal visceral fat, especially in obese individuals, suggesting that this fat depot may play an important role in the risk of pathogenic factors to the extent that high levels are associated with the free fat acids, insulin resistance, increased VLDL production, oxidative stress, endothelial cell dysfunction, hypertension and vascular injury [11-15].
Some studies have documented that NC may play an independent correlation of risk factors than body mass index (BMI) and waist circumference [16-19]. Preis et al. also found in their court that the NC, single marker UBSF, is a new discreet identifier pathogenic fat depot both independent as synergistically with abdominal visceral fat [20]. The importance of the classification of subjects, not just by age, but primarily by pubertal stage is due to the fact that adolescence is characterized by a life cycle where there is intense physiological changes, which will result in changes in body composition of these individuals. This study aimed to determine cutoff values for NC in adolescents that identify overweight and obesity, the prevalence of elevated NC, and its association with associated factors. The main hypothesis of this study is that within each group of elevated NC, overweight and obesity, the association between independent variables and the NC.
Methods
Cross-sectional observational study that assessed adolescents from four public schools in the city of São Paulo. This study and the related consent were approved by Institutional Review Board of Graduate Studies and Research of the Federal of São Paulo University, Protocol No. 1959/ 09.
Study population
Through guidance from the General Secretariat of Education of the State of São Paulo were contacted all schools suggested, based on school census of 2010, with the completion of the data collection was carried out only in schools where principals agreed and allowed the entry of researchers the educational institution. After permission directors, parents were informed and signed a consent form for adolescent participation in this study. In addition, consent form was obtained from each adolescent. The sample was non – probabilistic, convenience, which evaluated 1774 adolescents, aged 10 to 17 years old, enrolled in last year’s primary and third year of high school. Sampling procedures, anthropometric measurements, and nutritional status assessments are published elsewhere [9,21].
Inclusion criteria
All adolescents aged 10 to 17 years old, who were not attending weight-loss program, nor taking any medication that could affect blood pressure, which were not physically disabled, and non-pregnant girls were included in the study. All students who did not address these criteria were excluded.
Variables
Anthropometric data
Anthropometric measurements were taken by all previously trained professionals, using standard protocols. The collected variables were weight (kg), height (cm) by these two measures was calculated BMI by dividing weight in kilograms (kg) by height in meters (m) squared, neck (cm), waist (cm), thigh (cm), hip (cm), and arm (cm) circumferences. Standards set were used by the World Health Organization (WHO) to determine the nutritional status [22].
NC was measure by adolescent standing erect and the head positioned in the Frankfurt horizontal plane. The top edge of the tape metric was placed just below the laryngeal prominence and positioned perpendicular to the long axis of the neck at the level of the thyroid cartilage, and the circumference was measured to the value close to 0.1 cm [23]. For the assessment of body fat, were used triceps and subscapular skinfold thickness, according to standard techniques, and body fat percent (BF%) calculated according to the equations of Slaughter et al. [24] and classified by Lohman [25].
Blood pressure measurements
To measurement of blood pressure Measurement protocol was followed, according to the V Brazilian Guidelines on Hypertension [26]. The values of blood pressure were classified according to American Academy of Pediatrics recommendations - The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents [27] - that recommend pressure values in percentiles (90, 95 and 99).
Assessment of pubertal stage
For the determination of pubertal stage was used Tanner method, using boards containing original photos [28] by the technique of self – assessment [29] of breast development for girls and genitalia for boys, being considered the prepubertal adolescents in stages 1, pubertal in stages 2-4, and postpubertal in stage 5.
Classification by Age group
Adolescents were also classified according to age, considering: Individuals between 10 and 12 years; between 13 and 15 years; ≥16 years. This division allowed greater homogeneity among the groups, as well as being widely used in the middle.
Statistical analysis
To describe the profile of the sample were made frequency tables of categorical variables (gender, age) and descriptive statistics (mean, standard deviation) for continuous variables (age, height, weight, BMI, circumference, sistolic blood pressure, diastolic blood pressure, BF%). The Mann-Whitney test was used to compare variables between female and male [30].
Cutoff values of NC that identify overweight and obesity were obtained by analyzing the ROC (Receiver Operating Characteristic) curves. The best cutoff values were established in general, ie, according to sex and regardless of age or pubertal stage, and according to age group and pubertal stage [31].
Crude analysis between neck circumference and the independent variables was performed by univariate logistic regression (logistic regression: risk of belonging to the group “neck above the cutoff point”). The binary regression was used to estimate the values of chance (odds ratio-OR) and their 95% confidence intervals, with and without considering risk for neck circumference as the outcome. The final model consisted of variables with p < .20 in the adjusted analysis. Enter method was used in order to define the final model. The calculations were performed by the “software” Statistical Package for the Social Sciences (SPSS) version 20.0 and the level of significance was set at p < .05 [30].
Results
Among 1668 adolescents evaluated, 916 (54.92%) were female, with a mean age of 14.4 ± 2.31. This study showed that 21.18% of girls and 19.95% boys were overweight and 7.56% and 10.51% were obese, respectively. The measures of dispersion mean and standard deviation of age, anthropometric measurements and blood pressure were described in Table 1.
Table 1.
Parameters | Subjects | |||
---|---|---|---|---|
General | Female | Male | P Value* | |
Age (years) | 14.40 ± 2.31 | 14.39 ± 2.32 | 14.42 ± 2.31 | .761 |
Weight (kg) | 54.25 ± 14.27 | 52.70 ± 11.91 | 56.14 ± 16.51 | <.001 |
Height (cm) | 159.64 ± 11.21 | 157.30 ± 8.45 | 162.48 ± 13.30 | <.001 |
BMI (kg/m2) | 21.03 ± 4.07 | 21.16 ± 3.89 | 20.88 ± 4.27 | .004 |
NC (cm) | 31.62 ± 4.54 | 30.33 ± 3.88 | 33.19 ± 4.80 | .001 |
AC (cm) | 25.06 ± 4.91 | 24.84 ± 4.54 | 25.33 ± 5.31 | .384 |
HC (cm) | 88.65 ± 12.04 | 89.81 ± 11.95 | 87.23 ± 12.01 | <.001 |
WC (cm) | 71.59 ± 11.22 | 70.72 ± 10.39 | 72.65 ± 12.08 | .036 |
TC (cm) | 47.34 ± 7.51 | 48.32 ± 7.60 | 46.14 ± 7.22 | <.001 |
SBP (mmHg) | 104.98 ± 13.46 | 104.02 ± 12.65 | 106.13 ± 14.28 | <.001 |
DBP (mmHg) | 67.53 ± 10.60 | 66.84 ± 10.49 | 68.35 ± 10.67 | .012 |
BF (%) | 27.98 ± 10.00 | 31.21 ± 7.97 | 24.04 ± 10.76 | <.001 |
*P value refers to the Mann-Whitney test to compare variables between the sexes. BMI: body mass index; NC: neck circumference; AC: arm circumference; HC: hip circumference; WC: waist circumference; TC: tight circumference; SBP: sistolic blood pressure; DBP: diastolic blood pressure; BF%: body fat percentage.
Among the variables analyzed was observed significant difference between the sexes, with the exception of age and arm circumference. The prevalence of high sistolic blood pressure was equal to 22.19% and high diastolic blood pressure, 25.17%. It was found that 77.6% of the population has BF% above the average. Tables 2 and 3 present the results of ROC curve analysis indicating the best cutoff of adiposity, overweight and obesity, to NC, according to sex, age and pubertal stage, using as gold standard the z-score of BMI. The best values can be obtained comparing the area under the curve (AUC) for each measurement.
Table 2.
Sex | n | AUC* | CI 95%** | Sensib. (%) | Specif. (%) | Cuttoffs (cm) | |
---|---|---|---|---|---|---|---|
Pubertal stages | |||||||
Female | Prepubertal | 34 | 0.937 | 0.856-0.999 | 87.5 | 92.3 | ≥28.25 |
Pubertal | 694 | 0.763 | 0.722-0.805 | 55.7 | 86.1 | ≥31.35 | |
Postpubertal | 188 | 0.802 | 0.736-0.867 | 77.8 | 69.8 | ≥31.25 | |
Male | Prepubertal | 75 | 0.888 | 0.812-0.964 | 88.0 | 82.0 | ≥29.75 |
Pubertal | 655 | 0.693 | 0.649-0.737 | 57.3 | 70.4 | ≥34.25 | |
Postpubertal | 21 | 0.713 | 0.480-0.945 | 100.0 | 43.7 | ≥33.90 | |
Age group (years) | |||||||
Female | 10-12 | 312 | 0.854 | 0.811-0.897 | 83.9 | 74.5 | ≥29.35 |
13-15 | 283 | 0.799 | 0.737-0.860 | 70.9 | 81.7 | ≥31.25 | |
16-17 | 321 | 0.859 | 0.807-0.911 | 80.0 | 78.9 | ≥31.65 | |
Male | 10-12 | 250 | 0.865 | 0.821-0.910 | 86.7 | 71.2 | ≥29.65 |
13-15 | 244 | 0.836 | 0.783-0.888 | 77.3 | 75.7 | ≥33.90 | |
16-17 | 257 | 0.849 | 0.794-0.904 | 81.3 | 80.3 | ≥36.45 | |
General (years) | |||||||
Female | 10-17 | 916 | 0.775 | 0.741-0.809 | 61.2 | 83.0 | ≥31.25 |
Male | 10-17 | 751 | 0.690 | 0.649-0.730 | 53.3 | 72.8 | ≥34.25 |
*Area under the curve: ROC curve; **95% CI: confidence interval; Sensib: sensibility; Specif.: specificity; gold standard: z-score IMC.
Table 3.
Sex | n | AUC* | CI 95%** | Sensib. (%) | Specif. (%) | Cuttoffs (cm) | |
---|---|---|---|---|---|---|---|
Pubertal stage | |||||||
Female | Prepubertal | 34 | 0.909 | 0.805-0.999 | 100.0 | 87.9 | ≥29.75 |
Pubertal | 694 | 0.804 | 0.728-0.881 | 76.5 | 77.1 | ≥31.15 | |
Postpubertal | 188 | 0.857 | 0.771-0.943 | 88.2 | 84.2 | ≥32.65 | |
Male | Prepubertal | 75 | 0.857 | 0.773-0.942 | 100.0 | 68.7 | ≥29.75 |
Pubertal | 655 | 0.740 | 0.677-0.802 | 40.3 | 94.2 | ≥37.95 | |
Postpubertal | 21 | 0.375 | 0.161-0.589 | 100.0 | 35.0 | ≥33.90 | |
Age group (Years) | |||||||
Female | 10-12 | 312 | 0.831 | 0.755-0.908 | 67.7 | 83.6 | ≥30.95 |
13-15 | 283 | 0.883 | 0.800-0.967 | 80.0 | 89.9 | ≥32.60 | |
16-17 | 321 | 0.882 | 0.743-0.999 | 92.3 | 83.4 | ≥32.45 | |
Male | 10-12 | 250 | 0.877 | 0.832-0.923 | 93.8 | 71.6 | ≥30.20 |
13-15 | 244 | 0.819 | 0.747-0.891 | 88.9 | 61.8 | ≥33.55 | |
16-17 | 257 | 0.924 | 0.865-0.982 | 90.0 | 92.4 | ≥38.45 | |
General (Years) | |||||||
Female | 10-17 | 916 | 0.815 | 0.754-0.877 | 63.8 | 90.9 | ≥32.65 |
Male | 10-17 | 751 | 0.712 | 0.654-0.770 | 34.2 | 94.5 | ≥37.95 |
*Area under the curve: ROC curve; **95% CI: confidence interval; Sensib: sensibility; Specif.: specificity; gold standard: z-score IMC.
Considering all the adolescents studied, the cutoff values for NC that identified overweight in girls and boys were 31.25 and 34.25 cm, and obesity, 32.65 and 37.95 cm, respectively, (Figure 1) and the prevalence of individuals of both sexes, female and male, with elevated NC were 32.63 and 37.63%, respectively. For overweight, the best AUC was observed in prepubertal, both girls (AUC = 0.937; 95% CI 0.856-0.999) as boys (AUC = 0.888; 95% CI 0.812-0.964), Table 2. In relation to obesity, it was observed that the postpubertal girls showed better AUC for NC than boys in the same pubertal stage (Table 3).
Tables 4 and 5 show the univariate and adjusted logistic regression for independent variables, in overweight and obesity, respectively. After adjusting for all variables that were significantly associated with elevated NC for overweight (p <0.20), it was observed that there was an association with sex, weight, body mass index, arm, waist and thigh circumference, pubertal stage and BF% (Table 4). By analyzing the pubertal stage was observed after adjusting association in pubertal (OR = 1.59; 95% CI 1.04-2.43) and also in postpubertal (OR = 2.12, 95%CI 1.21-3.72) p = 0.002. When considering the cutoff of NC, it indicates that, in obesity, there was association of NC with adjusted sex, weight, arm and thigh circumference, and BF%.
Table 4.
Parameters | NC (Crude analysis) | NC (Adjusted analysis) | ||
---|---|---|---|---|
OR (CI 95%) | p | OR (CI 95%) | P | |
Sex | .04* | <.001* | ||
Female | 1.00 | 1.00 | ||
Male | 1.24 (1.01-1.52) | 0.45 (0.29-0.76) | ||
Group age (years) | <.001* | .191 | ||
10-12 | 1.00 | 1.00 | ||
13-15 | 2.7 (1.91-4.04) | 0.72 (0.25-2.12) | ||
>16 | 5.8 (4.09-8.33) | 1.41 (0.46-4.32) | ||
Weight (kg) | 1.18 (1.16-1.21) | <.001* | 1.18 (1.13-1.24) | <.001* |
Height (cm) | 1.11 (1.09-1.12) | <.001* | 0.99 (0.95-1.03) | .76 |
BMI classification | <.001* | .019* | ||
Eutrophic | 1.00 | 1.00 | ||
Overweight | 3.83 (2.97-4.94) | 1.21 (0.72-2.03) | ||
Obesity | 5.95 (4.13-8.59) | 0.41(0.16-1.02) | ||
Arm circumference | 1.55 (1.47-1.62) | <.001* | 1.13 (1.04-1.22) | .002* |
Hip circumference | 1.09 (1.08-1.11) | <.001* | 1.00 (0.99-1.05) | .761 |
Waist circumference | 1.13 (1.11-1.15) | <.001* | 1.02 (1.03-1.04) | .024* |
Thigh circumference | 1.21 (1.18-1.23) | <.001* | 0.95 (0.92-0.99) | .037* |
Pubertal stage | <.001* | |||
Prepubertal | 1.00 | 1.00 | .002* | |
Pubertal | 3.42 (2.60-4.51) | 1.59 (1.04-2.43) | ||
Postpubertal | 5.65 (3.91-8.16) | 2.12 (1.21-3.72) | ||
Sistolic blood pressure | <.001* | .22 | ||
Normotense | 1.00 | 1.00 | ||
Prehipertension | 2.22 (1.69-2.91) | 1.01 (0.66-1.56) | ||
Hipertension 1 | 2.88 (1.13-7.37) | 1.87 (0.53-6.53) | ||
Hipertension 2 | 2.3 (0.86-6.19) | 3.56 (0.94-13.4) | ||
Diastolic blood pressure | <.001* | .47 | ||
Normotense | 1.00 | 1.00 | ||
Prehipertension | 2.39 (1.78-3.22) | 1.39 (0.91-2.13) | ||
Hipertension 1 | 2.43 (1.57-3.76) | 1.00 (0.52-1.94) | ||
Hipertension 2 | 2.13 (0.86-5.30) | 0.83 (0.21-3.22) | ||
Percent body fat | 1.03 (1.02-1.04) | <.001* | 0.96 (0.93-0.98) | <.001* |
Multivariate analysis of the association between cutoff value of NC of the adolescents, that indicates overweight, and independent variables. Logistic regression model: odds ratios (OR) and confidence intervals (95% CI). *p<.05.
Table 5.
Parameters | NC (Crude analysis) | NC (Adjusted analysis) | ||
---|---|---|---|---|
OR (CI95%) | p | OR (CI95%) | p | |
Sex | .003* | <.001* | ||
Male | 1.00 | 1.00 | ||
Female | 1.61 (1.17-2.23) | 8.9 (4.55-17.43) | ||
Group age (years) | <.001* | .180 | ||
10-12 | 1.00 | 1.00 | ||
13-15 | 2.18 (1.20-3.95) | 1.12 (0.51-2.44) | ||
>16 | 3.84 (2.20-6.69) | 1.74 (0.75-2.44) | ||
Weight (kg) | 1.13 (1,11-1.15) | <.001* | 1.18 (1.12-1.25) | <.001* |
Height (cm) | 1.05 (1.03-1.07) | <.001* | 0.97 (0.92-1.02) | .312 |
BMI classification | <.001* | |||
Eutrophic | 1.00 | 1.00 | .145 | |
Overweight | 6.82 (4.54-10.25) | 1.70 (0.85-3.39) | ||
Obesity | 23.51 (14.99-36.89) | 3.26 (1.00-10.59) | ||
Arm circumference | 1.38 (1.32-1.45) | <.001* | 1.07 (1.01-1.13) | .008* |
Hip circumference | 1.02 (1.01-1.03) | .003* | 0.99 (0.97-1.01) | .670 |
Waist circumference | 1.10 (1.09-1.12) | <.001* | 0.98 (0.96-1.01) | .305 |
Thigh circumference | 1.19 (1.16-1.23) | <.001* | 0.93 (0.88-0.98) | .006* |
Pubertal stage | <.001* | .963 | ||
Prepubertal | 1.00 | 1.00 | ||
Pubertal | 2.16 (1.41-3.31) | 0.99 (0.53-1.84) | ||
Postpubertal | 4.38 (2.64-7.25) | 1.07 (0.50-2.29) | ||
Sistolic blood pressure | .010* | .134 | ||
Normotense | 1.00 | 1.00 | ||
Prehipertension | 1.50 (1.01-2.21) | 0.97 (0.54-1.73) | ||
Hipertension 1 | 3.33 (1.16-9.48) | 2.57 (0.63-10.45) | ||
Hipertension 2 | 2.88 (0.91-9.07) | 4.00 (1.00-16.00) | ||
Diastolic blood pressure | .007* | .876 | ||
Normotense | 1.00 | 1.00 | ||
Prehipertension | 1.76 (1.17-2.64) | 0.97 (0.55-1.71) | ||
Hipertension 1 | 1.86 (1.04-3.35) | 0.72 (0.31-1.65) | ||
Hipertension 2 | 2.39 (0.78-7.31) | 1.16 (0.25-5.42) | ||
Percent body fat | 1.05 (1.03-1.06) | <.001* | 0.97 (0.94-1.00) | .048* |
Multivariate analysis of the association between cutoff value of NC of the adolescents, that indicates obesity, and independent variables. Logistic regression model: odds ratios (OR) and confidence intervals (95% CI). *p<.05.
Discussion
It is extremely important to evaluate adolescents considering, primarily, the pubertal stage, to the extent that this is a period of intense growth and development. However, to our knowledge, this is the first study evaluating the association between elevated neck circumference in adolescents with other factors, considering all pubertal stages (prepubertal, pubertal and postpubertal).
In this study it was found that the prevalence of females and males with elevated NC were 32.63 and 37.63%, higher than the study of Guo et al., who observed elevated NC in 11.4% of girls and 23.4% of boys. However, it is important to considerer that the Guo’s study was performed with Chinese children, and this population has lower rates of overweight and obesity than the population of our study [32].
Girls and boys postpubertal, who have completed pubertal stage, showed cutoffs values of NC that identify obesity equal to 32.65/33.90 cm, respectively, values close to those established by Ben-Noun et al., in other words, NC ≥34/37 cm in adult men and women, respectively, as pointed out obesity. This comparison is due to the fact that post pubertal individuals have physiological characteristics of adulthood, and the Ben-Noun’ study was done with adults [23].
In a turkish population-based study, the AUC showed NC for prepubertal girls like this study (0.884, 95% CI 0.828-0.927 vs 0.937, 95% CI 0.856-0.999, respectively), as well as in pubertal girls in both studies (0.896, 95%CI 0.857-0.928 vs 0.763, 95% CI 0.722-0.805). Among boys, the AUC found in two studies to prepubertal were (0.899, 95% CI 0.843-0.926 vs 0.888, 95%CI 0.812-0.964) and the pubertal (0.877, 95% CI 0.828-0.916 vs 0.693 95% CI 0.649-0.737) [33]. The fact that postpubertal girls had better AUC for NC than boys in the same pubertal stage should be emphasized, however there is the small number of boys at this stage.
Cutoff values that showed higher sensitivity and specificity for NC, for overweight prepubertal and pubertal girls, were 28.25 and 31.35 cm, respectively. For obese prepubertal our cutoff was higher than Hatipoglu et al. (29.75 vs 28.0 cm), however for pubertal were virtually the same (31.0 vs 31.15 cm). As for boys, the cutoff values for overweight were 29.75 (prepubertal), and 34.25 (pubertal), and for obese the opposit occurred, in relation to girls, that is, for the prepubertal cutoff value of NC was very similar to the turkish study (29.75 vs. 29.0 cm), and, for the pubertal, our values were higher than this turkish study (37.95 vs. 32.5 cm) [33].
Importantly, in this study postpubertal girls had better AUC for NC than boys. In general, cross-sectional and longitudinal studies indicate that girls have more fat deposits than boys, especially after puberty [34-37]. However, recent and important study by Katz et al., which aimed to examine the association between NC and markers of adiposity in children, and to develop reference data on NC for the Canadian pediatric population, assessed 936 girls and 977 boys Canadians and showed that NC values for the boys were higher than the NC values for the girls, which can be explained by the fact that all individuals in overweight and obesity were excluded from the sample, which considered only the healthy-weight individuals. Among healthy-weight individuals is expected that boys have larger neck circumference than girls, especially with increasing age. However, among overweight/obese individuals that does not necessarily happen that way. So, After excluding overweight/obese, ie, into an ideal healthy population is expected that boys have larger neck circumference than girl. Also, this Canadian study did not classified participants according to pubertal stage [38].
Anthropometric measurements showing high sensitivity and specificity in predicting overweight and fat accumulation in the upper body, such as the NC, for example, are feasible. NC is simple to perform, inexpensive, has no variation in its magnitude throughout the day, it is preferable in cold weather where individuals are wearing heavy clothing, and in some cases, such as obese or morbidly obese, which feature “belly apron” or various waistlines over the abdomen [39-42].
It is important to consider that NC has good intra and inter-observer, and does not require multiple measures, for accuracy and reliability, even when compared to waist circumference. Parameters in addition to BMI have been proposed long time with the aim of better defining the body composition of an individual [43], particularly with respect to fat accumulation in the central region, which is fully associated with the development of metabolic diseases including the metabolic syndrome, characterized by central obesity, dyslipidemia, hypertension and insulin resistance, while there are doubts in terminology, for children and adolescents, there is consensus regarding cardiometabolic risk [44].
Unfortunately, the most sensitive methods to identify and complete the accumulation of body fat are expensive, difficult to be implemented in clinical practice, such as computed tomography, the DEXA (dual-energy X-ray absorptiometry), ultrasound [45]. So many authors have been engaged in developing technical protocols to better assess the distribution of body fat, especially in the pediatric age group, more cheaply and accessible to health professionals. During puberty, for example, the change in body composition is too large, depending on the stage of growth spurt, even among age-matched subjects. This makes references proposed for this assessment taking into account the pubertal stage [46]. Now there is controversy in the literature about which is the best method and technique used for the evaluation of visceral obesity in adults, stages of growth and development, such as adolescence, the difficulties are much higher [40,41].
It is widely known that the measurement of waist circumference (WC) has good ability to determine central obesity, both in adults and in children and adolescents, having already shown that in these individuals there are also good relationship with central fat [10,17,18]. In the present study the WC after being adjusted significantly correlated to overweight (p = 0.024), which did not occur when the adjustment was made in obesity (p = 0.305). In addition, WC does not have international standard classification cutoffs for classification of abdominal adiposity, much less specific to the pediatric population, and presents difficulties in measurement, that can vary significantly throughout the day, in the postprandial period in menstrual period, according to bowel function, and diverge as to the best measurement technique: the midpoint between the last intercostal arch and iliac - crest, the upper border of the iliac crest, the smallest circumference abdomen, above the umbilicus, depending on posture, respiratory phase, long after the meal [39-41].
It was observed that sex correlates significantly even when adjusted. In relation to BMI, it was found that normal individuals showed greater association with elevated NC when set this way, greater concern should be directed to these individuals, which had 2.63 greater chance to have high NC (OR: 2.63; 95%CI 1.28-5.37). Regarding circumferences, the one that presented the highest association, unilateral or adjusted, was the arm circumference (AC), in other words, the adolescent who provide high AC has a 13% more chance to present high NC (p = 0.002), and 7% chance to presenting high NC to obesity (p = 0.008), in accordance with the adjusted model. AC is important to assess subcutaneous fat and muscle mass, which may reflect a reduction in cases of malnourished individuals, or an increase in cases of obese individuals, both, respectively. In a previous study conducted with 8020 adolescents in the city of Sao Paulo, the cutoff values of the AC demonstrated for female and male high sensitivity and specificity. This shows how this measure is correlated with adiposity [9].
Although there was a significant association of NC with high blood pressure changed only in the univariate analysis, both for overweight, and for obesity, it emphasizes the importance of this issue, because it was high prevalence of this change in sistolic blood pressure (22.19%) and diastolic blood pressure (25.17%). Some studies have documented changes in blood pressure in children and adolescents (14.4%) [47-49], but less high than among adolescents in the present study. Work of Guo et al. [32], which examined whether there was an association according to nutritional status between NC and high risk of change in BP, noted that, among eutrophic participants, elevated NC was significantly associated with a greater chance for change in BP (OR = 1.637; 95% CI 1.288-2.08) in univariate analysis, and this result remained significant after adjustment for BMI and WC (OR = 1.439; 95% CI 1.118-1.853).
Study by Ferretti et al., which evaluated 917 adolescents in a specialized center in Adolescents in the city of São Paulo showed that elevated blood pressure in adolescents is highly prevalent, even among healthy-weight individuals, which can be explained by style of teenage life, characterized by high consumption of foods high in salt, sugar and fat, in addition to physical inactivity, contributing to the increase in blood pressure and various metabolic disorders, even in apparently healthy individuals [50].
To our knowledge, this is the first study to determine cutoff values for NC with Brazilian Adolescents that identify overweight and obesity and its association with associated factors. These data demonstrate the importance of NC in adolescents. However, the cross-sectional nature of this study prevents the firm causal conclusions.
Study limitations are considered, as not questioning about sleep disturbances, although the focus of this study was not sleep disturbances, recent studies have shown that sleep deprivation may be related to increased neck circumference in adults. In addition, metabolic assessment would be required, and control of internal quality of the data was not performed, intra and inter-rater reability [13,15,51].
Conclusion
It was concluded that there is elevated prevalence of elevated NC, that shows association with other factors being higher risks for this outcome sex, weight, arm and thigh circumference and BF%, considering the cutoffs for both overweight and for obesity. NC is a great screening measure for identifying overweight in clinical practice, as well as having all the advantages of the ease of measurement, shows an association with other risk factors for chronic diseases.
Acknowledgments
We acknowledge the support of the Adolescent Division, Pediatric Department, Federal University of São Paulo. We also thank the participants, their parents and guardians, the teachers and coordinators at each school, and the Municipal Government of São Paulo, Brazil.
Abbreviations
- AC
Arm circumference
- AUC
Area under the curve
- BF%
Body fat percent
- BMI
Body mass index
- DEXA
Dual- energy X - ray absorptiometry
- HC
Hip circumference
- NC
Neck circumference
- OR
Odds ratio
- ROC
Receiver operating characteristic
- TC
Thigh circumference
- UBSF
Upper body subcutaneous fat
- VLDL
Very low density lipoprotein
- WC
Waist circumference
- WHO
World Health Organization
Footnotes
Competing interests
The authors have no conflicts of interest to declare. Nothing to report. All authors have sufficiently contributed to the development of this study.
Authors’ contributions
RLF conceived, designed, and implemented the study, collected and interpreted data, wrote and revised the manuscript; IPC helped to implement the study and to write the manuscript; MAZP was responsible for the data collection, helped implement the study, and helped to write the manuscript; GLMF performed statistical analyses, interpreted the data, and helped to write and revise the manuscript; MF was responsible for coordinating original study and contributed to the intellectual content. Interpreted the data, and helped to write and revise the manuscript. All authors have read and approved the manuscript for publication.
Authors’ information
All authors are registered on the Lattes platform.
Contributor Information
Roberta de Lucena Ferretti, Email: betaferretti@yahoo.com.br.
Isa de Pádua Cintra, Email: ipcintra@uol.com.br.
Maria Aparecida Zanetti Passos, Email: cidazpassos94@yahoo.com.br.
Gerson Luis de Moraes Ferrari, Email: gersonferrari08@yahoo.com.br.
Mauro Fisberg, Email: mauro.fisberg@gmail.com.
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