scholarly journals Estimating trunk fat in children according to sex using basic somatic readings: an opportunity for improving evaluation among girls

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Manuel Moya ◽  
Virginia Pérez-Fernandez

Abstract Background The fat mass estimators waist-to-height ratio (WHtR) and relative fat mass—pediatric (RFMp) complement the widely accepted body mass index (BMI) in obesity evaluation. Aims of the Study: Conduct an easy appraisal of trunk fat and the cardiometabolic risk associated with pediatric obesity. Methods A total of 472 children (39% boys in the total sample) were classified as underweight, normal weight, overweight or obese (nutritional groups, NGs) according to BMI Z-score after initial anthropometric data were obtained and ad hoc exclusion criteria were applied. WHtR and RFMp (% of total fat) were calculated for each group, associations were assessed through multiple linear regression (MLR), and differences between sexes were evaluated (medians, IQR). Results The mean age (mean (95% CI)) was 10.8 y (10.1–11.1). The values in the total sample were as follows: WHtR, 0.5 (0.49–0.51) and RFMp%, 32.3 (31.7–33.0). In the overweight group, the values were as follows: WHtR, 0.51 (0.50–0.52) and RFMp(%), 34.2 (33.3–35.1). In the obese group, the values were as follows: WHtR, 0.56 (0.55–0.57) and RFMp(%), 37.8 (36.9–38.6). The associations were as follows (NG; independent variables): In the NG, adjusted R2 values were between 0.74 and 0.78. In the total sample, the beta coefficient was 3.36 (P < 0.001) for RFMp for girls; for waist circumference (WC), the beta coefficient was 2.97 (P < 0.001), and for WHtR the beta coefficients were − 0.01 (p < 0.001) and 0.03 (p < 0.001),for girls and for WC respectively. The sex differences were as follows: BMI exhibited no differences in the NG (Mann-Whitney U). WHtR (median (IQR)) differed (M vs. F) in the total sample (0.49 (0.45–0.54) vs. 0.52 (0.45–0.56), p < 0.004); in the overweight group (0.51 (0.48–0.53) vs. 0.54 (0.51–0.55), p < 0.001); and in the obese group (0.55 (0.52–0.57) vs. 0.57 (0.54–0.60), p < 0.004). RFMp (%) differed in the total group (29.21 (24.27–32.92) vs. 36.63 (30.2–39.51), p < 0.001); in the overweight group (31.24 (28.35–32.35) vs. 37.95 (35.75–38.82), p < 0.001) and in the obese group (35.89 (32.05–36.15) vs. 40.63 (38.27–42.42), p < 0.001). Conclusions WHtR and RFMp are simple and reliable indices that do not require centile charts. Their values, including waist circumference, can be used to estimate the different trunk fat components in boys and girls better than BMI, especially if individuals are overweight or obese. RFMp proved to be more reliable as it considers sex. Both should be included in routine anthropometric readings.

2021 ◽  
Author(s):  
Manuel Moya ◽  
Virginia Pérez-Fernández

Abstract Background: Easy appraisal of trunk fat and the eventual cardiometabolic risk of pediatric obesity is a present requirement. Its estimators Waist-to-Height Ratio (WHtR) and Relative Fat Mass pediatric (RFMp, expressed as % of total fat content), can be a complement of widely accepted BMI.Methods: 472 children (39% boys), classified as underweight, normal weight, overweight and obese (Nutritional groups, NG) according to BMI Z-score after their strictly obtained anthropometric initial data, with ad hoc exclusion criteria. Calculation of WHtR and RFMp was done for each nutritional group and sex, as associations through multiple linear regression (MLR) and differences among sexes (medians, IQR).Results: Age (mean (95% CI)), 10.8 y (10.1- 11.1). Estimators values in: All group WHtR 0.5 (0.49 – 0.51), RFMp% 32.3 (31.7 – 33.0); Underweight, WHtR 0.41 (0.40 – 0.41), RFMp (%) 22.8 (21.2 – 24.4); Normal weight, WHtR 0.46 (0.45 – 0.47), RFMp(%) 28.9 (28.1 – 29.7); Overweight, WHtR 0.51 (0.50 – 0.52), RFMp(%) 34.2 (33.3 – 35.1) and Obese WHtR 0.56 (0.55 – 0.57), RFMp(%) 37.8 (36.9 – 38.6). Associations (NG; independent variables): In NG adjusted R² values were between 0.74-0.78. In All group Beta coefficients were for RFMp 3.36 (P< 0.001) for girls; for waist circumference (WC 2.97 (P< 0.001) and for WHtR were respectively -0.01 (p< 0.001) and 0.03 (p< 0.001) Sex differences: BMI were in NG without gender differences (Mann-W’s U). Whereas WHtR (median IQR) differ (M vs F) respectively in: All group 0.49 (0.45 - 0.54) vs 0.52 (0.45 - 0.56), p<0.004; in Overweight 0.51 (0.48 – 0.53) vs 0.54 (0.51 – 0.55), p< 0.001; in Obese 0.55 (0.52 – 0.57) vs 0.57 (0.54 – 0.60), p< 0.004. RFMp (%): in All 29.21 (24.27 – 32.92) vs 36.63 (30.2 – 39.51), p< 0.001; in Overweight 31.24 (28.35 – 32.35) vs 37.95 (35.75 – 38.82), p<0.001 and in Obese 35.89 (32.05 – 36.15) vs 40.63 (38.27 – 42.42), p<0.001.Conclusions: WHtR and RFMp are simple and reliable indexes not requiring centile charts. Their values, including waist circumference, can estimate the different trunk fat component in boys and girls better than BMI, especially if overweight and obese. RFMp proved to be more reliable as it considers gender. Reasonably, both should be included in routine anthropometric readings.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9675
Author(s):  
Huijuan Wang ◽  
Pingping Wang ◽  
Yu Wu ◽  
Xiukun Hou ◽  
Zechun Peng ◽  
...  

Objective To explore the relationship between body mass index (BMI) and clinicopathological characteristics in patients with papillary thyroid carcinoma (PTC). Methods The clinical data of 1,579 patients with PTC, admitted to our hospital from May 2016 to March 2017, were retrospectively analyzed. According to the different BMI of patients, it can be divided into underweight recombination (BMI < 18.5 kg/m), normal body recombination (18.5 ≤ BMI < 24.0 kg/m2), overweight recombination (24.0 ≤ BMI < 28.0 kg/m2) and obesity group (BMI ≥ 28.0 kg/m2). The clinicopathological characteristics of PTC in patients with different BMIs group were compared. Results In our study, the risk for extrathyroidal extension (ETE), advanced T stage (T III/IV), and advanced tumor-node-metastasis stage (TNM III/IV) in the overweight group were higher, with OR (odds ratio) = 1.99(1.41–2.81), OR = 2.01(1.43–2.84), OR = 2.94(1.42–6.07), respectively, relative to the normal weight group. The risk for ETE and T III/IV stage in the obese group were higher, with OR = 1.82(1.23–2.71) and OR = 1.82(1.23–2.70), respectively, relative to the normal weight group. Conclusion BMI is associated with the invasiveness of PTC. There is a higher risk for ETE and TNM III/IV stage among patients with PTC in the overweight group and for ETE among patients with PTC in the obese group.


2000 ◽  
Vol 84 (1) ◽  
pp. 95-101 ◽  
Author(s):  
Hora Soltani ◽  
Robert B. Fraser

Many women associate one or more of their pregnancies with the development of adult obesity. Such an association has not been fully explored. This longitudinal study examines the changes in maternal anthropometric indices during pregnancy and postpartum. Seventy-seven pregnant subjects were investigated longitudinally at about 13, 25 and 36 weeks gestation, of whom forty-seven continued taking part into the postpartum period. Maternal weight, height and skinfold thickness (triceps, biceps, subscapular, suprailiac and mid thigh) were measured at each visit. Maternal fat mass was estimated from the conversion of the first four skinfold thicknesses. Maternal waist and hip circumferences were also measured at the first visit and 6 weeks and 6 months postpartum. Weight and fat gain during pregnancy (13–36 weeks gestation) was 10·9 (SD 4·7) KG AND 4·6 (sd 3·3) kg (P < 0·001) respectively. A significant increase in fat mass from 13 weeks gestation to 6-months postpartum was observed (2·6 (sd 4·5), P < 0·001). The increased weight at 6-months postpartum, however, was not statistically significant (1·1 (sd 6·0) kg, P = 0·20). Based on BMI in early pregnancy, the subjects were divided into groups of underweight, normal weight, overweight and obese. The last three groups were compared using ANOVA. The obese group showed a significant difference in the pattern of changes in the skinfold thickness, waist: hip ratio and fat mass at the postpartum period, in comparison with the other two groups. In conclusion, there is a tendency in the obese group to develop central obesity at the postpartum period.


2011 ◽  
Vol 15 (5) ◽  
pp. 840-848 ◽  
Author(s):  
Isabelle Guelinckx ◽  
Roland Devlieger ◽  
Annick Bogaerts ◽  
Sara Pauwels ◽  
Greet Vansant

AbstractObjectiveTo determine whether pre-pregnancy BMI influences breast-feeding practice.DesignRetrospective epidemiological study.SettingUniversity Hospital Leuven, Catholic University Leuven, Belgium.SubjectsTwo hundred women (median age 29 years, interquartile range (IQR) 4; 52 % nulliparae) were grouped into four categories according to pre-pregnancy BMI using WHO cut-offs.ResultsThe incidence of intention and initiation of breast-feeding was significantly lower in underweight (64 %) and obese women (68 %) compared with normal weight (92 %) and overweight women (80 %). Initiation was also related to parity (OR = 0·582; 95 % CI 0·400, 0·846), but not to gestational weight gain, method of delivery or hypertensive disorders. Fifty-two per cent of underweight, 70 % of normal weight and 56 % of overweight women were exclusively breast-feeding their infant during the first month of life. This incidence was significantly lower in the obese group (34 %; P = 0·030). Only 40 % of all infants were exclusively breast-fed at 3 months of age, with the lowest prevalence among women with obesity (P = 0·0 0 1). The median duration of any breast-feeding in the obese group (1·8 months, IQR 3·4) was significantly shorter than in the underweight (3·0 months, IQR 3·1), normal weight (3·0 months, IQR 2·4) and overweight group (3·0 months, IQR 3·5; P = 0·024). Reasons given for ceasing breast-feeding in the obese group were maternal complications (29 %), insufficient milk supply (23 %), sucking problems (21 %) and work resumption (21 %).ConclusionsBreast-feeding practice in the total population, but especially among women with obesity, fell short of global WHO recommended standards. Policy initiatives and local interventions should continue to support breast-feeding, but also prevent maternal obesity.


2021 ◽  
Author(s):  
Mengqing Xiong ◽  
Zhiling Zhao ◽  
Qingrong Nie ◽  
Zhihong Shi ◽  
Bin Wu ◽  
...  

Abstract Background: BMI increase risk for obstructive sleep apnea (OSA), while low BMI and overweight/obesity has paradoxical effect on chronic obstructive pulmonary disease (COPD) outcomes. We aimed to examine the association between BMI and OSA risk in COPD patients. Methods: A number of 1637 COPD subjects included in the final analysis. Logistic regression was performed to investigate the association between BMI or BMI category and OSA risk. Using restricted cubic splines to flexibly model a nonlinear relationship. Results: In this COPD cohort, BMI or BMI category was significantly associated with risk of OSA. Using BMI 18.5–23.9 kg/m2 (normal weight) as a reference group, the overweight group (BMI: 24–27.9 kg/m2) (OR 1.348, 95%CI 1.057-1.718) and the obese group (BMI≥28 kg/m2) (OR 2.596, 95%CI 1.825-3.692) had higher risk of OSA in the crude model; after the sex- and age- adjusted, the association remained significant, while in the fully adjusted model, the obese group still had 2.623 times higher risk and the overweight group had a trend of higher risk but the underweight group (BMI<18.5 kg/m2) also showed a trend of higher OSA risk than the normal weight group (p value 0.071).In restricted cubic spline model, BMI exhibited a J-shaped association with OSA, and the risk of OSA reached a nadir at BMIs in the range of 20-24 kg/m2, with a positive association above or below.Conclusions: BMI had a J-shaped association with OSA in this COPD patient cohort; lower or higher BMIs were associated with an increased risk of OSA.Trial registration: This study registered in ClinicalTrials.gov (Clinical Trials ID: NCT 03182309).


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Pornthira Mutirangura ◽  
Chantacha Sitticharoon ◽  
Thitima Chinachoti ◽  
Arissara Iamaroon ◽  
Namtip Triyasunant ◽  
...  

Abstract Action of kisspeptin in the central nervous system (CNS) is well known on reproductive regulation; however, its peripheral action is not well understood. Recent studies have shown that peripheral kisspeptin might be related to obesity and/or metabolic parameters in humans [1]; however, these associations are still inconclusive. This study aimed to 1) compare serum or cerebrospinal fluid (CSF) kisspeptin levels between different body mass index (BMI) groups 2) compare levels of kisspeptin between serum and CSF, and 3) determine correlations between serum or CSF kisspeptin levels with clinical, metabolic, and reproductive parameters. There were 40 male subjects who underwent an operation with lumbar puncture anesthesia. Subgroup analysis was performed to compare between the lean-normal group (n=13) which included lean and normal weight subjects, the overweight group (n=10), and the obese group (n=17) according to BMI. Blood samples were collected after at least 8-hour fasting before intravenous cannulation prior to the operation while CSF samples were obtained by lumbar puncture before administration of the spinal anesthesia. Serum kisspeptin and leptin levels were significantly higher in the obese group when compared to the lean-normal and overweight groups even after adjusted to age while CSF kisspeptin levels were comparable between different BMI groups (p&lt;0.05 all). Serum kisspeptin levels were significantly higher than CSF kisspeptin levels (p&lt;0.001). Serum kisspeptin was significantly positively correlated with body weight (R= 0.351), BMI (R=0.549), plasma insulin (R=0.393), and serum leptin (R=0.45) (p&lt;0.05 all), and tended to have a positive correlation with the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (R=0.29, p=0.77) but was significantly negatively correlated with plasma LH (R=-0.37) (p&lt;0.05). CSF kisspeptin was significantly positively correlated with plasma LH (R=0.452, p&lt;0.05). These results suggest that serum kisspeptin levels were related to increased obesity, leptin, insulin, and insulin resistance while CSF kisspeptin levels were related to reproductive parameters. In summary, central kisspeptin might have a role on reproductive regulation while peripheral kisspeptin might have a role on metabolic regulation. Reference: (1) Izzi-Engbeaya, C., et al., The effects of kisspeptin on beta-cell function, serum metabolites and appetite in humans. Diabetes Obes Metab, 2018. 20(12): p. 2800–2810.


2020 ◽  
Vol 8 (9_suppl7) ◽  
pp. 2325967120S0054
Author(s):  
Chen Wenzhong ◽  
Zou Shiping ◽  
Siwen Teng

Introduction: Obesity is an important independent risk factor for the development of knee osteoarthritis .According to the data of the world Health Organization, there were more than 1.9 billion overweight adults in the world in 2014, among which at least 600 million were clinically obese .Therefore, among the patients undergoing knee replacement, the number of obese patients is increasing .The use of single condyle replacement for medial compartment arthritis of the knee began in the 1970s.With the continuous development of new implants, the continuous improvement of surgical techniques and the strict control of indications by surgeons, the 15-year survival rate of single condyle replacement is over 90%, and the 20-year survival rate is 84%, achieving good results.In the indications of knee monocepicondylar replacement, the maximum weight standard has been increased from 82kg in 1989 [8] to 90kg in 2002 [9].However, there is still controversy over the body weight cut-off point in the indications, especially the observation on the postoperative effect of single condyle replacement in obese patients, which has been rarely reported in China. Hypotheses: To evaluate the near and middle term efficacy of unicompartmental knee arthroplasty(UKA) in patients with medial knee osteoarthritis with different body mass index, and to determine the effect of body weight on the efficacy and complications of UKA. Methods: A total of 128 patients who underwent UKA in department I of arthropathy, zhengzhou orthopaedic hospital from December 2016 to December 2018 due to medial knee osteoarthritis were included as study subjects, and the clinical data of the study subjects were retrospectively analyzed. There were 29 males and 99 females, with an average age of 65.13± 7.37 years (range: 51˜87 years).According to the preoperative body mass index (BMI), the subjects were divided into three groups, namely the underweight or normal weight group (BMI < 24kg /㎡), the overweight group (24kg /㎡≤BMI < 28kg /㎡) and the obese group (BMI≥ 28kg /㎡).Visual analogue scale (VAS), knee range of motion(ROM), American hospital for special surgery (HSS) score of knee joint, complications and other relevant indicators were recorded before and at the last follow-up for each group. According to the data types of preoperative and postoperative efficacy evaluation indexes of the same group, paired sample T test, c² test or Wilcoxon sign rank sum test were used for difference analysis. One-way anova, c² test or K-W rank sum test were used to evaluate the difference between groups. Results: All subjects were followed up for 13-37 months (22.34± 7.22).Compared with before surgery, VAS scores of patients in the last follow-up were significantly lower in the underweight or normal weight group, the overweight group and the obese group (6.91±6.34 vs. 0.44±0.67, 6.90 ±0.77 vs. 0.63±0.68, 6.78±0.71 vs. 0.59±0.61) (t= 46.488-42.654,P values <0.01), knee ROM significantly increased (97.67±10.87 vs. 114.77±8.01, 98.96±10.67 vs. 116.03±6.96, 95.31±11.50 vs. 110.93±11.46) (t= -20.83 - -11.039,All P values were <0.01), and knee HSS score was significantly improved (51.63±0.61 vs 88.00±4.06, 50.68±6.46 vs 87.87±5.73, 48.25±6.70 vs 87.03±5.17) (t= -48.920- -34.010, all P values <0.01).There were no statistically significant differences in VAS score, knee ROM and knee HSS score between the overweight group and the obese group compared with the underweight or normal group. None of the patients had serious complications such as periprosthesis infection, simple prosthesis loosening and periprosthesis fracture. The incidence of venous thrombosis in lower extremities was 14.06% (18/128), with no significant difference between groups. There were 7 cases of poor incision healing (overweight group is 3 and obese group is 4), and the risk of poor incision healing was higher in the obese group than in the underweight or normal weight group, with statistical significance (P=0.03). Conclusion: UKA can achieve satisfactory clinical effect in patients with different body mass index, but patients in obesity group are prone to complications such as poor incision healing.


Author(s):  
David Monasor-Ortolá ◽  
Jose Antonio Quesada-Rico ◽  
Ana Pilar Nso-Roca ◽  
Mercedes Rizo-Baeza ◽  
Ernesto Cortés-Castell ◽  
...  

Obesity is caused by fat accumulation. BMI Z-score is used to classify the different degrees of weight status in children and adolescents. However, this parameter does not always express the true percentage of body fat. Our objective was to determine the degree of agreement between the fat mass percentage measured by DXA and the stratification of weight according to BMI Z-score in the pediatric age group. We designed a descriptive cross-sectional study. The patients were classified as underweight/normal weight with Z-scores between −2 and +0.99, overweight from 1 to 1.99, obese from 2 to 2.99, and very obese ≥3. We included 551 patients (47% girls), with a mean age of 11.5 ± 2.8 years (3.7–18 years). Higher BMI Z-scores were associated with a higher percentage of total fat (p < 0.001). However, there were important overlaps between both parameters, such that the BMI Z-score classified patients with the same percentage of total fat mass as having a different nutritional status classification. In conclusion, the stratification of weight status according to BMI Z-score revealed that 46.7% of patients had a fat percentage that did not correspond to their classification. For a more accurate weight assessment in clinical practice, we recommend combining anthropometric indices with diagnostic tools that better correlate with DXA, such as electrical bioimpedance.


2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Dalia Ramzy Ibrahim ◽  
Mervat Elsayed Taha ◽  
Amaal Mohamed Kamal

Chemerin is an adipokine secreted by adiopose tissue and has a role in obesity and hypertension. This study aims at assessing the level of the adipokine chemerin in obesity and/or hypertension and correlating its level with the inflammatory marker hs-CRP and predictors of atherosclerosis as lipid profile, insulin resistance, systolic (SBP) and diastolic blood pressure (DBP).Volunteers were divided into 4 equal groups according to body mass index (BMI) and blood pressure: normal weight group (BMI ≤ 24.9 kg/m2), overweight group (BMI = 25.0 – 29.9 kg/m2), normotensive obese group (BMI ≥ 30.0 kg/m2) and hypertensive obese group (BMI ≥ 30.0 kg/m2). Chemerin, high-sensitivity C-reactive protein (hs-CRP), lipid profile, fasting blood glucose (FBG) and fasting insulin (FI) were evaluated in the mentioned groups.The results showed that there were significant increases of chemerin, hs-CRP, low density lipoprotein (LDL), SBP and DBP in hypertensive obese group compared to normotensive obese , overweight and normal weight groups. Moreover the only significant positive correlation between chemerin and hs-CRP was observed in the obese hypertensive group. The normotensive obese group showed significant increases of hs-CRP, LDL, triglyceride (TG), FBG, FI and the homeostasis model assessment-insulin resistance index (HOMA-IR) compared to the overweight and normal weight groups. Regarding the overweight group, there were significant increases in chemerin, hs-CRP, cholesterol, LDL, TG compared to the normal weight group, while the HDL levels were significantly lower compared to the two obese groups. These results revealed that the pro-inflammatory adipokine chemerin increases in obesity associated with hypertension, leading to the suggestion that there is a definite dysregulation of the pro-inflammatory and anti-inflammatory parameters towards the pro-inflammatory when hypertension and obesity are associated.            


Sign in / Sign up

Export Citation Format

Share Document