Body composition and prediction equations using skinfold thickness for body fat percentage in Southern Brazilian adolescents

Ripka, Wagner Luis; Ulbricht, Leandra; Gewehr, Pedro Miguel

doi:10.1371/journal.pone.0184854

Cited by 16 publications

(29 citation statements)

References 23 publications

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“…In the present study, no significant association was found between the nutritional status of the survivors and the drugs used in the antineoplastic treatment. Studies have evidenced that a few medications, such as corticosteroids may increase BMI during treatment due to the increased consumption of foods, but their long term effect is still arguable [6,29,30]; nevertheless, in our study this association was not observed.…”

Section: Discussioncontrasting

confidence: 84%

Changes in nutritional status in adolescents surviving leukemia and lymphoma

et al. 2020

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Objective To examine the changes in the nutritional status of adolescents aged 10-19 years after a minimum 12 months interval following oncological treatment for leukemias and lymphomas. Methods Longitudinal design quantitative study conducted at Hospital de Clínicas, Porto Alegre. Adolescents aged 10-19 years after a minimum 12 months interval following oncological treatment for leukemias and lymphomas were included. The measures of weight, height, brachial circumference, triceps skinfold thickness, arm muscle circumference and abdominal circumference were collected. Results The sample comprised 50 adolescents who had survived leukemias and lymphomas. In the follow up 38% of the patients were classified as overweight according to the body mass index for their age. There was a significant increase in body mass index for age between the beginning and the end of treatment and follow up (p=0.013) in female individuals, compared to males. The results indicate a reduction in the Z-score means of height for age, with significant differences between the beginning of treatment and follow up (p=0.016); and end of treatment and follow up (p=0.006) in patients of both genders Conclusion The anthropometric indicators show an important frequency of excess weight and increased tricipital skinfold, as well as a significant increase of the body mass index for age and also a growth deficit among the survivors.

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Section: Discussioncontrasting

confidence: 84%

Changes in nutritional status in adolescents surviving leukemia and lymphoma

et al. 2020

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“…There is no ideal prediction equation for body composition that is precise, accurate, affordable and practical. The predictive equation [ 25 ] used in the current study is not free from limitations. However, the strength of this equation is that the SEE values of validation remained <3%, the standard for body fat measurement as suggested by Lohman [ 51 ].…”

Section: Discussionmentioning

confidence: 99%

“…Then from skinfold thickness, body fat percentage was calculated using the standard formula proposed by Wagner Luis Ripka et al. (2017) [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

“…Skinfold calipers (Harpenden Skinfold Caliper, Model: HSK-BI, USA) was used to measure skinfold thickness on five sites (triceps, bicep, subscapularis, abdominal, and calf) of the body. Then from skinfold thickness, body fat percentage was calculated using the standard formula proposed by Wagner Luis Ripka et al (2017) [25].…”

Section: Anthropometric Assessment and Body Composition Analysismentioning

confidence: 99%

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Determinants of nutrition knowledge, attitude and practices of adolescent sports trainee: A cross-sectional study in Bangladesh

Bakhtiar

Masud-ur-Rahman

Kamruzzaman

et al. 2021

Heliyon

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Background Nutrition is an important predictor of an athlete's performance. It is more important for particularly those athletes who are in the growing stage (adolescents). This study aimed to assess their current level of knowledge, attitude, and practices (KAP) of nutrition and to predict potential factors impacting their level of these KAP. Methods A cross-sectional study was conducted among adolescent trainee athletes selected conveniently from 11 sports departments (e.g. cricket, football, hockey, etc.) of Bangladesh Krira Shikkha Protishtan (BKSP). A semi-structured interviewer-administered questionnaire was used for data collection. Anthropometric measurements (e.g. height, weight, BMI, BF %) were taken using appropriate methods. The data were analyzed using R (v3.6.1) and Python Jupyter Notebook. Descriptive statistics, t-test, analysis of variance (ANOVA), and logistic regression were used to determine the relationship between dependent and independent variables. Results A total number of 260 participants were enrolled in this study, most of them (86%) were male. Their mean age was 15.50 ± 1.83 ranging from 12-19 years. More than half of the participants had good nutrition knowledge (n = 149, 57.3%). Fifty-seven percent of participants had a positive attitude (n = 146) and 57.69% (n = 150) had a good level of practices regarding nutrition. Age (p = 0.007), gender (p = 0.004), department of training (p = 0.0034), and duration of sports training (p = 0.004) of participants were significantly associated with knowledge, while only age and BMI were significantly associated with practices. Athletes with less body fat were more likely to have good nutrition practice behavior (AOR 0.895; 95% CI 0.83, 0.96; p < 0.05) and nutrition knowledge was positively associated with nutrition practice (AOR 2.335; 95% CI 1.405, 3.88; p = 0.001). Conclusion Knowledge, attitude, and practices level observed among many of our participants was satisfactory. Previous nutrition training was found as a potentially modifiable factor of good nutrition knowledge and good nutrition knowledge was found to be a predictor of good practice score. Thus, it is necessary to provide appropriate nutrition information to adolescent athletes through proper educational training and intervention on a regular basis.

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“…In contrast to the anthropometric indicators, waist circumference is already a consolidated index for the analysis of central fat and cardiovascular risk [37,38,39]. In addition, the circumference of the arm, hip, and calf are used to assess the nutritional status and population health [22,23,25,40,41,42,43,44,45,46]. Other factors were considered, such as low cost, reproducibility, and accessibility to the entry attributes, especially if the method is used in remote places.…”

Section: Methodsmentioning

confidence: 99%

Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables

Sousa

Santana

Lopes

et al. 2019

IJERPH

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Background: Excess body fat has been growing alarmingly among adolescents, especially in low income and middle income countries where access to health services is scarce. Currently, the main method for assessing overweight in adolescents is the body mass index, but its use is criticized for its low sensitivity and high specificity, which may lead to a late diagnosis of comorbidities associated with excess body fat, such as cardiovascular diseases. Thus, the aim of this study was to develop a computational model using linear regression to predict obesity in adolescents and compare it with commonly used anthropometric methods. To improve the performance of our model, we estimated the percentage of fat and then classified the nutritional status of these adolescents. Methods: The model was developed using easily measurable socio-demographic and clinical variables from a database of 772 adolescents of both genders, aged 10–19 years. The predictive performance was evaluated by the following metrics: accuracy, sensitivity, specificity, and area under ROC curve. The performance of the method was compared to the anthropometric parameters: body mass index and waist-to-height ratio. Results: Our model showed a high correlation (R = 0.80) with the body fat percentage value obtained through bioimpedance. In addition, regarding discrimination, our model obtained better results compared to BMI and WHtR: AUROC = 0.80, 0.64, and 0.55, respectively. It also presented a high sensitivity of 92% and low false negative rate (6%), while BMI and WHtR showed low sensitivity (27% and 9.9%) and a high false negative rate (65% and 53%), respectively. Conclusions: The computational model of this study obtained a better performance in the evaluation of excess body fat in adolescents, compared to the usual anthropometric indicators presenting itself as a low cost alternative for screening obesity in adolescents living in Brazilian regions where financial resources are scarce.

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Body composition and prediction equations using skinfold thickness for body fat percentage in Southern Brazilian adolescents

Cited by 16 publications

References 23 publications

Changes in nutritional status in adolescents surviving leukemia and lymphoma

Changes in nutritional status in adolescents surviving leukemia and lymphoma

Determinants of nutrition knowledge, attitude and practices of adolescent sports trainee: A cross-sectional study in Bangladesh

Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables

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