scholarly journals Development of an index based on ultrasonographic measurements for the objective appraisal of body condition in Andalusian horses

2018 ◽  
Vol 15 (4) ◽  
pp. e0609
Author(s):  
Tamara Martin-Gimenez ◽  
Carla N. Aguirre-Pascasio ◽  
Ignacio De Blas
Keyword(s):  
Body Fat ◽  
Body Condition ◽  
Subcutaneous Fat ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Indirect Measure ◽  
Body Condition Scoring ◽  
Good Diagnostic Accuracy

Body condition scoring (BCS) is an indirect measure of the level of subcutaneous fat; however, by measuring the subcutaneous fat thicknesses (SFT), the precision of the degree of fatness assessment is improved. The aims were: 1) to develop an alternative body fat scoring index (BFSI) based on ultrasonographic measurements; 2) to assess the agreement between BCS and the new index applied to Andalusian horses; 3) to adjust the BCS cut-off values (if necessary) for overweight and obesity in this breed. One hundred and sixty-six Andalusian horses were included in this cross sectional study. On each horse, BCS, body fat percentage (BF%) and ultrasonography of SFT at localized deposits were evaluated. According to BFSI five possible body categories were established. Only one horse (0.6%) was classified as emaciated, 9.0% as thin, 74.7% as normal, 11.4% as overweight and 4.2% as obese. Despite higher BCS and SFT values were observed compared to other breeds, most of the horses evaluated presented a normal body condition under the new BFSI. BCS and BFSI were significantly associated (p<0.001), however, the concordance was low (weighted Cohen’s kappa coefficient, 0.262 ± 0.071; p=0.004). Using BFSI, obese horses had significantly greater BF% than the rest of categories (p<0.001). BCS showed a good diagnostic accuracy for detection overweight (AUC = 0.759 ± 0.055; p<0.001) and obese (AUC = 0.878 ± 0.050; p=0.001) horses; redefining the cut-off values for overweight and obesity condition as 7.5/9 and 8.5/9 respectively in Andalusian horses.

scholarly journals Overweight and Obesity, Body Fat, Waist Circumference, and Anemia in Peruvian University Students: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ruth B. Quiliche Castañeda ◽  
Josué Turpo-Chaparro ◽  
Jesús Hanco Torres ◽  
Jacksaint Saintila ◽  
Percy G. Ruiz Mamani
Keyword(s):  
Waist Circumference ◽  
University Students ◽  
Body Fat ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
The Body ◽  
Sectional Study ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Very High

The university represents a critical space for students in terms of prevalence of malnutrition. The objective of this study was to determine the body mass index (BMI), body fat percentage (% BF), waist circumference (WC), and anemia in university students. A cross-sectional study was carried out in 2,285 university students from Lima, Peru. The sample was selected by nonprobability convenience sampling. Anthropometric data and hemoglobin levels were measured. The Chi-square test was used. The analysis of the associated factors was done using binary logistic regression. A significance level of 5% was considered. There were no significant differences between men and women in BMI ( p > 0.05 ). The men presented significantly high and very high levels of % BF ( p < 0.001 ). The proportion of women who presented anemia and high and very high WC was significantly higher compared to men ( p < 0.001 ). Being older than 27 years (ORB = 2.07; 95% CI = 1.19–3.6), being male (ORB = 2.68; 95% CI = 2.02–3.55), studying at the engineering faculty (ORB = 1.39; 95% CI = 1.09–1.79), having excess body fat (ORB = 8.17; 95% CI = 6.13–10.87), and having an elevated WC (ORB = 35.51; 95% CI = 25.06–50.33) significantly predicted overweight/obesity. The findings of this study suggest that college students, especially males and those who are not enrolled in health sciences colleges, should be a priority in healthy lifestyle interventions, particularly nutritional education programs, to reduce the prevalence of overweight and obesity.

scholarly journals Body fatness or anthropometry for assessment of unhealthy weight status? Comparison between methods in South African children and adolescents

2012 ◽  
Vol 16 (11) ◽  
pp. 2005-2013 ◽  
Author(s):  
Eva Craig ◽  
John Reilly ◽  
Ruth Bland
Keyword(s):  
Body Composition ◽  
Children And Adolescents ◽  
Body Fat ◽  
Weight Status ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Body Fatness ◽  
Unhealthy Weight

AbstractObjectiveA variety of methods are available for defining undernutrition (thinness/underweight/under-fat) and overnutrition (overweight/obesity/over-fat). The extent to which these definitions agree is unclear. The present cross-sectional study aimed to assess agreement between widely used methods of assessing nutritional status in children and adolescents, and to examine the benefit of body composition estimates.DesignThe main objective of the cross-sectional study was to assess underweight, overweight and obesity using four methods: (i) BMI-for-age using WHO (2007) reference data; (ii) BMI-for-age using Cole et al. and International Obesity Taskforce cut-offs; (iii) weight-for-age using the National Centre for Health Statistics/WHO growth reference 1977; and (iv) body fat percentage estimated by bio-impedance (body fat reference curves for children of McCarthy et al., 2006). Comparisons were made between methods using weighted kappa analyses.SettingRural South Africa.SubjectsIndividuals (n 1519) in three age groups (school grade 1, mean age 7 years; grade 5, mean age 11 years; grade 9, mean age 15 years).ResultsIn boys, prevalence of unhealthy weight status (both under- and overnutrition) was much higher at all ages with body fatness measures than with simple anthropometric proxies for body fatness; agreement between fatness and weight-based measures was fair or slight using Landis and Koch categories. In girls, prevalence of unhealthy weight status was also higher with body fatness than with proxies, although agreement between measures ranged from fair to substantial.ConclusionsMethods for defining under- and overnutrition should not be considered equivalent. Weight-based measures provide highly conservative estimates of unhealthy weight status, possibly more conservative in boys. Simple body composition measures may be more informative than anthropometry for nutritional surveillance of children and adolescents.

scholarly journals Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents

2020 ◽  
Vol 17 (12) ◽  
pp. 4415
Author(s):  
Manuel Vaquero-Álvarez ◽  
Rafael Molina-Luque ◽  
Francisco Javier Fonseca-Pozo ◽  
Guillermo Molina-Recio ◽  
José López-Miranda ◽  
...  
Keyword(s):  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Fat Percentage ◽  
Predictive Capacity ◽  
Cross Sectional ◽  
Diagnostic Capacity ◽  
Waist To Height Ratio ◽  
The Impact ◽  
Hypertension In Children

Introduction: High blood pressure (HBP) is a health problem the prevalence of which has increased in young populations. Overweight and obesity in early ages have been directly related to its development. Due to the impact of HBP, it is necessary to provide tools that facilitate its early diagnosis, with useful anthropometric variables being those that assess obesity. The objective of this paper was to determine the diagnostic accuracy of anthropometric variables to detect HBP. Methods: A cross-sectional study was conducted on 265 students aged 6–16. The diagnosis of HBP was made following the criteria proposed by the Spanish Association of Pediatrics. Through different statistical methods, the association between anthropometric variables of general obesity with HBP was analyzed. Results: Waist circumference (WC) showed the best diagnostic capacity (area under the receiver operating characteristic curve = 0.729), with a sensitivity and specificity of 72.2% and 76%, respectively, for a cut-off point of 73.5 cm. In the adjusted multivariate analysis, an association was found between HBP and anthropometric variables: WC (odds ratio (OR) = 10.7), body mass index (OR = 7.5), waist-to-height ratio (OR = 5.5) and body fat percentage (OR = 5.3) (p < 0.05). Conclusions: The anthropometric variables studied showed a moderate predictive capacity for HBP, highlighting WC, which showed the strongest association with HBP in the infant and child population.

scholarly journals Adiposity is Associated with Decreased Serum 17-Hydroxyprogesterone Levels in Non-Diabetic Obese Men Aged 18–49: A Cross-Sectional Study

2020 ◽  
Vol 9 (12) ◽  
pp. 3873
Author(s):  
José Ignacio Martínez-Montoro ◽  
María Molina-Vega ◽  
Maite Asenjo-Plaza ◽  
María Concepción García-Ruiz ◽  
Enrique Varea-Marineto ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Fat ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Bonferroni Correction ◽  
Sectional Study ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Male Sex ◽  
17 Hydroxyprogesterone

Obesity is associated with decreased circulating testosterone levels, the main male sex hormone. However, there are a number of different male sex hormones whose dynamics remain poorly understood regarding this pathology. In this regard, 17 hydroxyprogesterone (17-OH progesterone), as an important precursor of testosterone synthetized in testes and adrenal glands, could play an essential role in testosterone deficiency in male obesity. Moreover, similarly to testosterone, 17-OH progesterone could be closely associated with visceral fat distribution and metabolic dysfunction. Thus, the aim of this study was to assess serum 17-OH progesterone levels in non-diabetic obese young men and to evaluate their relationship with clinical, analytical, and anthropometric parameters. We conducted a cross-sectional study including 266 non-diabetic men with obesity (BMI ≥ 30 kg/m2) aged 18–49 years; 17-OH progesterone and total testosterone (TT) were determined by high-performance liquid chromatography mass spectrometry. 17-OH progesterone levels were significantly lower in tertile 3 of body fat percentage in comparison with tertile 1 (0.74 ng/mL vs. 0.94 ng/mL, p < 0.01; Bonferroni correction) and in comparison with tertile 2 (0.74 ng/mL vs. 0.89 ng/mL, p = 0.02; Bonferroni correction). 17-OH progesterone levels correlated negatively with weight, BMI, waist circumference, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), and visceral fat, and positively with TT, free testosterone (FT), luteinizing hormone, and fat-free mass percentage. Multivariate linear-regression analysis showed that body fat percentage and HOMA-IR were inversely associated with 17-OH progesterone levels, while FT and ACTH were positively linked to circulating 17-OH progesterone levels. In conclusion, in a population of non-diabetic obese young men, 17-OH progesterone levels were inversely associated with adiposity. Body fat percentage and insulin resistance were negatively related to 17-OH progesterone levels, whereas FT and ACTH levels were positively associated with 17-OH progesterone levels.

Validation of predictive equations against DXA for estimation of body fat composition in Vietnamese children

MedPharmRes ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 11-15
Author(s):  
Thanh V. Kim ◽  
Tam M. Do ◽  
Thanh T.K. Tran ◽  
Xuan M. Ngo ◽  
Hong K. Tang
Keyword(s):  
Body Fat ◽  
High Efficiency ◽  
Assessment Tool ◽  
Skinfold Thickness ◽  
Overweight And Obesity ◽  
Whole Body ◽  
Healthy Children ◽  
Fat Percentage ◽  
Urban District ◽  
Cross Sectional

Background: Childhood overweight and obesity are becoming more pronounced in Vietnam, so an assessment tool of high efficiency in the community is warranted. This study sought to validate skinfold thickness (SFT) equations for estimation of body fatness by Goran and Slaughter against DXA to aid in assessing obesity. Method: A cross-sectional study was conducted on 144 healthy children (ages 6-17) who were conveniently sampled from schools within an urban district. Their anthropometric measurements (height, weight, and SFT) and DXA whole-body results were taken to record body fat percentage (BF%). Bland-Altman analysis and correlation between bias and body fat were employed to understand the agreement between results from each equation and DXA whole body. Result: BF% was 32.2 ± 7.6% (mean ± SD). 52.8% of the children were overweight or obese. Bland-Altman plots showed that all four SFT equations had wide limits of agreement (LOAs) and largely underestimated the reference BF% by up to 8.90%. Goran equation predicted better when BF% decreased, whereas Slaughter equations produced less bias when there was more body fat. Conclusion: The prevalence rate of overweight and obesity has become alarming. Besides, Goran and Slaughter equations cannot be used as alternatives for DXA scanning to measure body fat due to their underestimation.

scholarly journals Conicity index as an indicator of body fat percentage in adolescents

Food Research ◽  
2020 ◽  
Vol 4 (S3) ◽  
pp. 13-17
Author(s):  
I. Mulyasari ◽  
Purbowati
Keyword(s):  
Body Fat ◽  
Operating Characteristic ◽  
Fat Distribution ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Excess Adiposity ◽  
Reference Curves ◽  
Conicity Index

New indicators have been proposed in order to detect obesity and body fat distribution, such as conicity index (CI). The previous study found that CI has a significant correlation with high body fat in adolescents. This study aimed to assess the association of Conicity Index (CI) with Body Mass Index (BMI) and Body Fat Percentage (%BF) and evaluated the accuracy of CI based on %BF as gold standard for identification of obesity in adolescents. This cross-sectional study consisted of 620 adolescents (283 boys and 337 girls) aged 14-18 years. The correlation was tested using Spearman analysis. Obesity was based on age-and-sex specific body fat percentage cut-off values of body fat reference curves for children from Growth Foundation. Receiver operating characteristic (ROC) curve analyses were used to assess the accuracy of CI as a diagnostic test of obesity in adolescents. This study showed that CI was significantly correlated with BMI (boys: r = 0.485, p<0.0001; girls: r = 0.302, p<0.0001) and %BF (boys: r = 0.544, p<0.0001; girls: r = 0.347, p<0.0001). The area under curve (AUC) of CI for the diagnostic of obesity were over 0.9 for boys and over 0.7 for girls. The cut-off values for defining obesity were 1.13 (Sensitivity (Se) and Specificity (Sp) > 0.8) for boys and 1.14 (Se and Sp > 0.6) for girls. In conclusion, CI positively associated with BMI and % BF. CI is more accurate in boys than girls for the screening of excess adiposity in adolescents.

scholarly journals Prevalence of Overweight and Obesity among Primary Healthcare Workers In Perak, Malaysia

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Low Pei Kit ◽  
Hazizi Abu Saad ◽  
Rosita Jamaluddin ◽  
Chee Huei Phing
Keyword(s):  
Waist Circumference ◽  
Body Fat ◽  
Primary Healthcare ◽  
Healthcare Workers ◽  
Adult Population ◽  
Overweight And Obesity ◽  
Fat Percentage ◽  
Intervention Programme ◽  
Cross Sectional ◽  
Obesity Indices

  Introduction: Overweight and obesity has been emerging as one of the most common and preventable nutritional problems worldwide. In 2016, 39% and 13% of the adult population worldwide was classified as overweight and obese, respectively. Materials and Methods: We conducted a cross-sectional study at 12 selected health clinics in Perak, Malaysia, and we used multi-stage cluster random sampling to determine the prevalence of overweight and obesity among the primary healthcare workers and the associate factors of obesity indices. Each respondent was required to complete a self-administered questionnaire on their socio-demographic characteristics. In addition, we took anthropometric measurements, including height, weight, BMI, waist circumference, and body fat percentage, of the participants. Results: We recruited 261 primary healthcare workers. Overall, 49.9% of the healthcare workers were overweight or obese, 51.0% were at risk of having abdominal obesity, and 79.6% had a high body fat percentages. Age and self-reported health status were significantly associated with all the obesity indices. Educational level showed significant association with BMI and waist circumference, while occupational status showed an association only with BMI. Older age and professionals were predictors for high obesity indices. Conclusion: The prevalence of obesity among the primary healthcare workers was higher than among the general population. An immediate intervention programme is needed to reduce the prevalence of overweight and obesity among primary healthcare workers.

scholarly journals Anthropometric measures associated with fat mass estimation in children and adolescents with HIV

2019 ◽  
Vol 44 (5) ◽  
pp. 493-498
Author(s):  
Carlos A.S. Alves Junior ◽  
Luiz Rodrigo Augustemak de Lima ◽  
Michele Caroline de Souza ◽  
Diego Augusto Santos Silva
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Significance Level ◽  
Air Displacement Plethysmography ◽  
Anthropometric Indicators

To verify the association between anthropometric indicators and body fat percentage estimated by dual X-ray absorptiometry (DXA) and air displacement plethysmography (ADP) in children and adolescents diagnosed with human immunodeficiency virus (HIV). This cross-sectional study was carried out with 62 children and adolescents with HIV (aged 8 to 15 years). Body fat percentage was estimated by DXA and ADP. Anthropometric indicators were skinfolds (abdominal, triceps, subscapular, calf), perimeter relaxed arm (PRA), waist circumference (WC), perimeter neck, body mass index (BMI), waist-to-height ratio, conicity index, and body adiposity index. Linear regressions were performed with 5% significance level. In boys (adjusted R2 (R2adj) = 0.38 to R2adj = 0.67) and girls (R2adj = 0.41 to R2adj = 0.57), all anthropometric indicators were associated with body fat percentage estimated by DXA. For boys, skinfolds were associated with body fat percentage estimated by ADP (R2adj = 0.18 to R2adj = 0.35). In girls, skinfolds (R2adj = 0.27 to R2adj = 0.44, BMI (R2adj = 0.31), PRA (R2adj = 0.36), and WC (R2adj = 0.26) were associated to body fat percentage by ADP. Abdominal skinfold was the indicator that most explained the variation in body fat percentage measured by DXA and ADP in both sexes. Anthropometric indicators are strongly associated with body fat, measured by reference methods, and can assist health professionals in monitoring the health of children and adolescents with HIV.

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