Measures of Overweight Status in School-Age Children

2003 ◽  
Vol 19 (3) ◽  
pp. 172-180 ◽  
Author(s):  
Theresa Skybo ◽  
Nancy Ryan-Wenger
Keyword(s):  
Heart Disease ◽  
Body Fat ◽  
Secondary Analysis ◽  
School Age Children ◽  
Body Fat Percentage ◽  
School Age ◽  
Overweight Children ◽  
Fat Percentage ◽  
Overweight Status ◽  
Developing Heart

Identifying and intervening with overweight children may decrease their likelihood of developing heart disease later in life. This secondary analysis of 58 children in the 3rd grade examined the prevalence of overweight children, methods for measuring overweight status, and the relationship among these measures and other risk factors for heart disease. Approximately one third of the 58 children were categorized as overweight. Several measures, such as weight, body fat percentage, body mass index (BMI), and skin-fold, are available to school nurses for measuring overweight status. The highest correlations were between BMI and weight and between BMI and body fat. Anthropometric measurements cannot predict cholesterol level, 24-hour diet recall, or family history. Blood pressure can be predicted by weight, body fat percentage, and BMI. BMI and body fat percentage highly correlate; however, body fat percentage is more liberal in identifying children at risk for overweight status. Therefore, body fat percentage is recommended for identification of overweight status in school-age children.

scholarly journals Effects of aerobic exercise and resistance exercise on physical indexes and cardiovascular risk factors in obese and overweight school-age children: A systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257150
Author(s):  
Tianhao Chen ◽  
Jingxia Lin ◽  
Yuzhe Lin ◽  
Lin Xu ◽  
Dian Lu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Resistance Exercise ◽  
Aerobic Exercise ◽  
Body Fat ◽  
Density Lipoprotein ◽  
School Age Children ◽  
Body Fat Percentage ◽  
School Age ◽  
Fat Percentage

Background Obesity is a serious social and public health problem in the world, especially in children and adolescents. For school-age children with obesity, this stage is in the transition from childhood to adolescence, and both physical, psychological, and external environments will be full of challenges. Studies have showed that school-age children are the largest proportion of people who continue to be obese in adulthood. Physical exercise is considered as an effective way to control weight. Therefore, we focus on this point to study which factors will be improved to reduce childhood obesity. Objective To assess the effects of aerobic and resistance exercise on physical indexes, such as body mass index (BMI) and body fat percentage, and cardiovascular risk factors such as VO2peak, triglycerides (TG) and low-density lipoprotein (LDL), high-density lipoprotein (HDL), total cholesterol (TC), insulin and insulin resistance in school-age children who are overweight or obese. Method PubMed, SPORTDiscus, Medline, Cochrane-Library, Scopus, Ovid and Web of Science were searched to locate studies published between 2000 and 2021 in obese and overweight school-age children between 6–12 years old. The articles are all randomized controlled trials (RCTs) and in English. Data were synthesized using a random-effect or a fixed-effect model to analyze the effects of aerobic and resistance exercise on six elements in in school-age children with overweight or obese. The primary outcome measures were set for BMI. Results A total of 13 RCTs (504 participants) were identified. Analysis of the between-group showed that aerobic and resistance exercise were effective in improving BMI (MD = -0.66; p < 0.00001), body fat percentage (MD = -1.29; p = 0.02), TG (std.MD = -1.14; p = 0.005), LDL (std.MD = -1.38; p = 0.003), TC (std.MD = -0.77; p = 0.002), VO2peak (std.MD = 1.25; p = 0.001). However, aerobic and resistance exercise were not significant in improving HDL (std.MD = 0.13; p = 0.27). Conclusions Aerobic exercise and resistance exercise are associated with improvement in BMI, body fat percentage, VO2peak, TG, LDL, TC, while not in HDL in school-age children with obesity or overweight. Insulin and insulin resistance were not able to be analyzed in our review. However, there are only two articles related to resistance exercise in children with obesity and overweight at school age, which is far less than the number of 12 articles about aerobic exercise, so we cannot compare the effects of the two types of exercises.

BODY FAT PERCENTAGE AND HEART DISEASE RISK PERCEPTION IN COLLEGE KINESIOLOGY MAJORS

2003 ◽  
Vol 35 (Supplement 1) ◽  
pp. S279
Author(s):  
K Martin ◽  
J S. Green ◽  
J W. Womack ◽  
K L. Hill ◽  
K Meyer ◽  
...  
Keyword(s):  
Heart Disease ◽  
Risk Perception ◽  
Body Fat ◽  
Disease Risk ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Heart Disease Risk

scholarly journals A Comparison Study of Portable Foot-to-Foot Bioelectrical Impedance Scale to Measure Body Fat Percentage in Asian Adults and Children

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Pei Ying Sim ◽  
Tin Tin Su ◽  
Hazreen Abd Majid ◽  
Azmi Mohamed Nahar ◽  
Muhammad Yazid Jalaludin
Keyword(s):  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Percentage ◽  
Strongly Correlated ◽  
Overweight Children ◽  
Fat Percentage ◽  
Obese Adults ◽  
Adults And Children ◽  
Mean Differences

Objective.To compare the measurements of body fat percentage (BF%) using the foot-to-foot bioelectrical impedance analysis (FTF-BIA) with the direct segmental multifrequency BIA (DSM-BIA).Methods.There were 36 men and 52 women (37.1±14.3years) with 57% Malays, 30% Chinese, and 13% Indian. For children, there were 45 boys and 26 girls (11.5±2.5years) with 52% Malay, 15% Chinese, and 33% Indian.Results.Mean height for men was 168.4 cm, 11 cm taller than women. Men were 10 kg heavier than women at 70 kg. BF% in women was 32% and 33% whereas BF% in men was 23% and 25% when measured using FTF-BIA and DSM-BIA, respectively. In children, BF% measured with FTF-BIA and DSM-BIA was 49% and 46%, respectively. The correlations were significant for men (r=0.92, SEE = 2.80), women (r=0.91, SEE = 3.31), boys (r=0.95, SEE = 5.44), and girls (r=0.96, SEE = 5.27). The BF% in underweight/normal (r=0.92, SEE = 2.47) and that in overweight/obese adults (r=0.89, SEE = 3.61) were strongly correlated. The correlations were significant in normal/underweight (r=0.94, SEE = 3.78) and obese/overweight children (r=0.83, SEE = 6.49). All ethnic groups showed significant correlation with BF%. Malay adults (r=0.92, SEE = 3.27) and children (r=0.94, SEE = 0.88) showed significant mean differences in BF%.Conclusion.The FTF-BIA showed higher accuracy for all normal/underweight and Chinese group with acceptable overestimation in children and underestimation in adults. Caution should be taken when interpreting BF% depending on gender, BMI, and ethnicity.

scholarly journals A secondary analysis examining the concordance of self-perception of weight and actual measurement of body fat percentage: The CRONICAS Cohort Study

BMC Obesity ◽  
2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Anthony L. Bui ◽  
Miguel G. Moscoso ◽  
Antonio Bernabe-Ortiz ◽  
William Checkley ◽  
Robert H. Gilman ◽  
...  
Keyword(s):  
Cohort Study ◽  
Body Fat ◽  
Secondary Analysis ◽  
Body Fat Percentage ◽  
Self Perception ◽  
Fat Percentage ◽  
Actual Measurement

scholarly journals Serum ferritin levels among schoolchildren and its correlation with lipid profile and adiposity

2021 ◽  
Vol 70 (3) ◽  
pp. 155-163
Author(s):  
Mariana Orta-Duarte ◽  
Rosa del Carmen Vázquez-Zapien ◽  
Hugo Ventura-Cisneros ◽  
Mario del Toro-Equihua ◽  
Benjamin Trujillo-Hernández ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Fat ◽  
Serum Ferritin ◽  
Overweight And Obesity ◽  
School Age Children ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Grasa Corporal

To determine the association between serum ferritin levels, lipid profile and adiposity in school-age children. Methods: A cross-sectional study was conducted on obese and non-obese children. Weight, height, waist circumference and blood pressure were measured for all participants. Lipid profile, serum ferritin and glucose were determined and analysed through absorbance. The Spearman correlation was performed for the quantitative variables and a regression analysis was used to determine the interaction between variables. Eighty-nine children were included, with a median age of 9.0 years. Results: When comparing serum ferritin levels in normal weight group, vs. the overweight and obesity group, values were significantly higher in the latter. Serum ferritin correlated positively with BMI (Rho .282, p <0.01), waist circumference (Rho .372, p < 0.01), diastolic blood pressure (Rho .244, p < 0.05), body fat percentage (Rho .375, p < 0.001), insulin (Rho .254, p <.05) and sex (Rho .224, p <.05); and negatively with high-density lipoprotein cholesterol (Rho. -221, p< 0.05). When analysing the significant variables in a multivariate regression model, sex, body mass index, waist circumference, and body fat percentage remained statistically significant (p <0.01). Conclusion: We observed associations between serum ferritin and obesity in Mexican school aged children. Determinar la asociación entre los niveles de ferritina sérica, el perfil de lípidos y la adiposidad en niños en edad escolar. Metodología: Se realizó un estudio transversal en niños obesos y no obesos. Se midieron el peso, la altura, la circunferencia de cintura y la presión arterial en todos los participantes. El perfil lipídico, la ferritina sérica y la glucosa se determinaron y analizaron mediante absorbancia. Se realizó correlación de Spearman para las variables cuantitativas y se utilizó un análisis de regresión para determinar la interacción entre las variables. Se incluyeron ochenta y nueve niños, con una edad media de 9,0 años. Resultados: Al comparar los niveles de ferritina sérica en el grupo de peso normal, frente al grupo de sobrepeso y obesidad, los valores fueron significativamente más altos en este último. La ferritina sérica se correlacionó positivamente con el IMC (Rho 0,282, p <0,01), la circunferencia de cintura (Rho 0,372, p <0,01), la presión arterial diastólica (Rho 0,244, p <0,05), el porcentaje de grasa corporal (Rho 0,375, p < 0,001), insulina (Rho 0,254, p <0,05) y sexo (Rho 0,224, p < 0,05); y negativamente con colesterol de lipoproteínas de alta densidad (Rho -0,221, p <0,05). Al analizar las variables significativas en un modelo de regresión multivariante, el sexo, el índice de masa corporal, la circunferencia de cintura y el porcentaje de grasa corporal se mantuvieron estadísticamente significativos (p <0,01). Conclusión: Observamos asociaciones entre la ferritina sérica y la obesidad en niños mexicanos en edad escolar.

Subjective Sleep Debt Is Correlated with Body Fat Percentage Independent of Sleep Duration

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1675-P
Author(s):  
XIAO TAN ◽  
CHRISTIAN BENEDICT
Keyword(s):  
Sleep Duration ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Subjective Sleep ◽  
Sleep Debt
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