scholarly journals Anthropometric Markers and Iron Status of 6–12-Year-Old Thai Children: Associations and Predictors

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Orapa Suteerojntrakool ◽  
Tharida Khongcharoensombat ◽  
Sirinuch Chomtho ◽  
Chansuda Bongsebandhu-phubhakdi ◽  
Therdpong Tempark ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Iron Status ◽  
Standard Deviation Score ◽  
Transferrin Saturation ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Obese Children ◽  
Anthropometric Markers

Introduction. Obesity may be associated with poor iron status. The objective of this study was to investigate the association between different indices of iron status and anthropometric measurements in Thai children. Materials and Methods. Anthropometry (weight, height, waist circumference (WC), and body composition assessed by bioelectrical impedance analysis) and iron indices were measured in 336 Thai children aged 6–12 years. Iron deficiency (ID) was defined using two or more of the following: (1) %transferrin saturation (%Tsat) < 16%; (2) serum ferritin (SF) < 15 μg/mL; and (3) soluble transferrin receptor (sTfR) > 5 mg/L. Iron deficiency anaemia (IDA) was defined as haemoglobin < WHO age cutoff combined with ID. Overweight and obesity were defined as body mass index (BMI) standard deviation score (SDS) ≥ +1 SDS or +2 SDS, respectively (WHO growth reference). Results. BMI SDS was significantly positively correlated with sTfR and SF (sTfR, r: 0.209, p  < 0.001; SF, r: 0.214, p  < 0.001) and negatively correlated with %Tsat (r: −0.132, p  = 0.013). Correlations between WC SDS and %fat mass and each iron marker were similar. The percentage with low SF was significantly lower than that using other individual markers. ID prevalence was not significantly different between normal-weight and overweight/obesity groups although a significantly higher proportion of overweight/obese children had sTfR >5 mg/L. Puberty and menarche were significant predictors of ID (puberty adjusted OR: 2.20, 95% CI: 0.43, 11.25; menarche adjusted OR: 6.11, 95% CI: 1.21, 30.94). Conclusion. Greater adiposity was associated with poorer iron status. However, SF may not be a good indicator of iron status in Thai children, particularly in those who are overweight/obese, whereas sTfR merits further investigation.

scholarly journals Ferroportin-Hepcidin Axis in Prepubertal Obese Children with Sufficient Daily Iron Intake

2018 ◽  
Vol 15 (10) ◽  
pp. 2156 ◽  
Author(s):  
Joanna Gajewska ◽  
Jadwiga Ambroszkiewicz ◽  
Witold Klemarczyk ◽  
Ewa Głąb-Jabłońska ◽  
Halina Weker ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Iron Status ◽  
Hematological Parameters ◽  
Daily Intake ◽  
Normal Weight ◽  
Deficiency Anemia ◽  
Dietary Iron ◽  
Iron Intake ◽  
Obese Children ◽  
Iron Concentrations

Iron metabolism may be disrupted in obesity, therefore, the present study assessed the iron status, especially ferroportin and hepcidin concentrations, as well as associations between the ferroportin-hepcidin axis and other iron markers in prepubertal obese children. The following were determined: serum ferroportin, hepcidin, ferritin, soluble transferrin receptor (sTfR), iron concentrations and values of hematological parameters as well as the daily dietary intake in 40 obese and 40 normal-weight children. The ferroportin/hepcidin and ferritin/hepcidin ratios were almost two-fold lower in obese children (p = 0.001; p = 0.026, respectively). Similar iron concentrations (13.2 vs. 15.2 µmol/L, p = 0.324), the sTfR/ferritin index (0.033 vs. 0.041, p = 0.384) and values of hematological parameters were found in obese and control groups, respectively. Iron daily intake in the obese children examined was consistent with recommendations. In this group, the ferroportin/hepcidin ratio positively correlated with energy intake (p = 0.012), dietary iron (p = 0.003) and vitamin B12 (p = 0.024). In the multivariate regression model an association between the ferroportin/hepcidin ratio and the sTfR/ferritin index in obese children (β = 0.399, p = 0.017) was found. These associations did not exist in the controls. The results obtained suggest that in obese children with sufficient iron intake, the altered ferroportin-hepcidin axis may occur without signs of iron deficiency or iron deficiency anemia. The role of other micronutrients, besides dietary iron, may also be considered in the iron status of these children.

scholarly journals The Association between Hepcidin and Iron Status in Children and Adolescents with Obesity

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ekkarit Panichsillaphakit ◽  
Orapa Suteerojntrakool ◽  
Chitsanu Pancharoen ◽  
Issarang Nuchprayoon ◽  
Sirinuch Chomtho
Keyword(s):  
Iron Deficiency ◽  
Iron Homeostasis ◽  
Complete Blood Count ◽  
Iron Status ◽  
Standard Deviation Score ◽  
Transferrin Saturation ◽  
Obese Group ◽  
Control Group ◽  
Low Grade ◽  
Serum Hepcidin

Introduction. Iron deficiency (ID) is the most common nutritional deficiency found in pediatric practice. A higher prevalence of ID may be found in children with obesity. Obesity is a chronic low-grade inflammatory condition. It is postulated that inflammation increases hepcidin, a regulator of iron homeostasis. The aim of this study was to investigate the associations between iron status, hepcidin, and BMI-standard deviation score (BMI-SDS) in children with and without obesity. Methods. A cross-sectional study of Thai children with obesity (5 to 15 years old) versus age- and sex-matched, nonobese controls was conducted. A total of 63 children with obesity and 27 controls were enrolled. Complete blood count, serum iron, ferritin, transferrin saturation, and total iron binding capacity were analyzed. Serum hepcidin-25 was assayed using a hepcidin ELISA Kit (Human Hepc25). Results. There were 63 children with obesity, the median age (IQR) being 10 (9–13) years, and 27 controls. The median (IQR) BMI-SDS of the obese group was 2.3 (2.0–2.6) vs. −0.5 ((−1.3)−0.4) of the control group. ID was diagnosed in 27 children in the obese group (42.9%); 4 of the children with obesity and ID had anemia. Serum hepcidin-25 levels of the children with ID vs. without ID in the obese group were not significantly different (median (IQR) 25 (12.9–49.2) and 26.4 (12.6–43.6), respectively) but both of them were significantly higher than controls (19.7 (8.3–25.5) ng/ml, p  = 0.04). BMI-SDS was positively correlated with hepcidin-25 (r = 0.28, p  = 0.001). Conclusion. Prevalence of iron deficiency in Thai children with obesity and serum hepcidin-25 was higher than controls. Further study in a larger population, preferably with interventions such as weight loss program, is warranted to clarify this association.

scholarly journals How reliable is BMI? Bioimpedance analysis of body composition in underweight, normal weight, overweight, and obese women

2020 ◽  
Author(s):  
Agata Lebiedowska ◽  
Magdalena Hartman-Petrycka ◽  
Barbara Błońska-Fajfrowska
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Content ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Obese Women ◽  
Normal Body

Abstract Background The human body consists of water, proteins, lipids, carbohydrates, and minerals that build cells, tissues, and organs. In healthy people, the content of these molecules remains nearly constant. The body mass index (BMI) is commonly used to classify abnormal body composition among adults. According to the WHO, a high BMI is a major risk factor for many diseases. Bioelectrical impedance analysis is a commonly used method for assessing body composition in clinical practice and medical research. Aims The aim of this study was to identify the advantages and disadvantages of using BMI in diagnosis of underweight, overweight, and obesity, by comparing the value of the index with the values of body composition analysis parameters. Methods A total of 267 healthy women 18 to 35 years of age participated in this study. Bioelectrical impedance analysis was performed on all participants at the beginning of the experiment with an InBodyS10 device. Results In the BMI categories of overweight and obese, only women with excessive BFM were measured with BIA. The BMI category of normal body weight, apart from women with normal body composition, includes people with both deficient and excess body components, e.g., body fat or lean body mass. The BMI category of underweight includes women with different body compositions as well as people with excessive fat content. Conclusions The BMI is useful to provide a warning of excessive fat content in overweight and obese women, whereas among normal weight and underweight women, it may mask various types of body composition defects.

Methylphenidate and Reduced Overweight in Children With ADHD

2018 ◽  
Vol 24 (2) ◽  
pp. 246-254 ◽  
Author(s):  
Elisabeth Mellström ◽  
Cecilia Forsman ◽  
Lisbet Engh ◽  
Maria Unenge Hallerbäck ◽  
Sverre Wikström
Keyword(s):  
Reference Group ◽  
Standard Deviation Score ◽  
Population Based ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Obese Children ◽  
Odds Ratios ◽  
Population Based Study ◽  
Children With Adhd ◽  
Treatment Changes

Objective: The objective of this study was to investigate odds ratios of overweight/obesity in children with ADHD and to compare the change in body mass index (BMI) after initiation of methylphenidate treatment in normal versus overweight/obese children. Method: This population-based study included 724 children (<18 years), of whom 197 were girls. Odds ratios for overweight and obesity were calculated, comparing the study group with a reference group from the same area. After initiation of methylphenidate treatment, changes in BMI were assessed for up to 3 years. Results: Children with ADHD had an odds ratio of 1.87 (95% confidence interval [CI]: [1.60, 2.19]) for overweight/obesity. A decrease in BMI standard deviation score was identified 1 to 3 years into treatment. The decrease was beneficially greater in overweight/obese as compared with normal weight children-mean ( SD) −0.64 (0.80) versus −0.39 (0.68); p = .001-and greater in girls. Conclusion: Medication with methylphenidate may facilitate favorable weight development in children with ADHD and overweight/obesity.

Iron status of adolescent girls from two boarding schools in southern Benin

2008 ◽  
Vol 11 (7) ◽  
pp. 737-746 ◽  
Author(s):  
Halimatou Alaofè ◽  
John Zee ◽  
Romain Dossa ◽  
Huguette Turgeon O’Brien
Keyword(s):  
Iron Deficiency ◽  
Vitamin C ◽  
Adolescent Girls ◽  
Binding Capacity ◽  
Iron Status ◽  
Transferrin Saturation ◽  
Meat Consumption ◽  
Boarding Schools ◽  
Important Health ◽  
Iron Binding Capacity

AbstractIron deficiency (ID) is the most prevalent micronutrient deficiency in the world, particularly in developing countries. Blood samples and a qualitative FFQ on Fe- and vitamin C-rich foods were obtained in 180 adolescent girls aged 12 to 17 years living in two boarding schools from south Benin. ID, defined as serum ferritin either <20μg/l or 20–50μg/l, plus two of the following parameters: serum Fe<11μmol/l, total iron-binding capacity>73μmol/l or transferrin saturation<20%, was found in 32% of subjects. Anaemia (Hb<120g/l) was found in 51% of adolescents, while 24% suffered from iron-deficiency anaemia (IDA) (ID and Hb<20g/l). After adjusting for confounding factors (age, mother's and father's occupation, household size) in a logistic regression equation, subjects having a low meat consumption (beef, mutton, pork) (<4 times/week) were more than twice as likely to suffer from ID (OR=2·43; 95% CI 1·72, 3·35;P=0·04). Adolescents consuming less fruits (<4 times/week) also had a higher likelihood of suffering from ID (OR=1·53; 95% CI 1·31, 2·80;P=0·03). Finally, subjects whose meat consumption was low were twice as likely to suffer from IDA (OR=2·24; 95% CI 1·01, 4·96;P=0·04). The prevalence of ID represents an important health problem in these Beninese adolescent girls. A higher consumption of Fe-rich foods and of promoters of Fe absorption (meat factor and vitamin C) is recommended to prevent ID deficiency in these subjects.

scholarly journals Estimation of percentage of body fat in field studies – a method based on relative elbow breadth (Frame Index) and BMI

2021 ◽  
Vol 1 ◽  
Author(s):  
Rebekka Mumm ◽  
Anna Reimann ◽  
Christiane Scheffler
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Field Studies ◽  
Skinfold Thickness ◽  
Public Health Research ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Obese Children ◽  
Cross Sectional ◽  
Skeletal Robusticity

Background Over the last 20 years, a decreasing trend in external skeletal robusticity and an increasing trend in overweight and obesity was observed worldwide in adults and children as modern lifestyles in nutritional and activity behavior have changed. However, body mass index (BMI) as a measure for overweight is not an ideal predictor of % body fat (%BF) either in children and adolescents or in adults. On the contrary, it disguises a phenomenon called “hidden obesity”. Objectives We aim to approximate %BF by combining skeletal robusticity and BMI and develop an estimation-based tool to identify normal weight obese children and adolescents. Sample and Methods We analyzed cross-sectional data on height, weight, elbow breadth, and skinfold thickness (triceps and subscapular) of German children aged 6 to 18 years (N=15,034). We used modified Hattori charts and multiple linear regression to develop a tool, the “%BF estimator”, to estimate %BF by using BMI and skeletal robusticity measured as Frame Index. Results Independent of sex and age an increase in BMI is associated with an increase in %BF, an increase in Frame Index is associated with a decrease in %BF. The developed tool “%BF estimator” allows the estimation of %BF per sex and age group after calculation of BMI and Frame Index. Conclusion The “%BF estimator” is an easily applicable tool for the estimation of %BF in respect of body composition for clinical practice, screening, and public health research. It is non-invasive and has high accuracy. Further, it allows the identification of normal weight obese children and adolescents.

scholarly journals Analysis of overweight and obesity in menopausal women using bioelectrical impedance analysis system

2013 ◽  
Vol 3 ◽  
pp. 260-265
Author(s):  
Jolanta Dąbrowska ◽  
Beata Naworska ◽  
Magdalena Dąbrowska-Galas ◽  
Magdalena Wodarska ◽  
Violetta Skrzypulec-Plinta
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Overweight And Obesity ◽  
Menopausal Women ◽  
Analysis System

scholarly journals Accelerometer-determined peak cadence and weight status in children from São Caetano do Sul, Brazil

2017 ◽  
Vol 22 (11) ◽  
pp. 3689-3698
Author(s):  
Gerson Luis de Moraes Ferrari ◽  
Timóteo Araújo ◽  
Luis Carlos Oliveira ◽  
Victor Keihan Rodrigues Matsudo ◽  
Emily Mire ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Fat ◽  
Weight Status ◽  
Bioelectrical Impedance ◽  
Normal Weight ◽  
Body Fat Percentage ◽  
Obese Children ◽  
Fat Percentage ◽  
The Relationship ◽  
Brazilian Children

Abstract The purpose of this study was to determine the relationship between peak cadence indicators and body mass index (BMI) and body fat percentage (BF%)-defined weight status in children. The sample comprised 485 Brazilian children. Minute-by-minute step data from accelerometry were rank ordered for each day to identify the peak 1-minute, 30-minute and 60-minute cadence values. Data were described by BMI–defined and bioelectrical impedance-determined BF% weight status. BMI-defined normal weight children had higher peak 1-minute (115.5 versus 110.6 and 106.6 steps/min), 30-minute (81.0 versus 77.5 and 74.0 steps/min) and 60-minute cadence (67.1 versus 63.4 and 60.7 steps/min) than overweight and obese children (p<.0001), respectively. Defined using %BF, normal weight children had higher peak 1-minute (114.5 versus 106.1 steps/min), 30-minute (80.4 versus 73.1 steps/min) and 60-minute cadence (66.5 versus 59.9 steps/min) than obese children (p<.0001). Similar relationships were observed in boys; however, only peak 1- minute cadence differed significantly across BMI and %BF-defined weight status categories in girls. Peak cadence indicators were negatively associated with BMI and BF% in these schoolchildren and significantly higher among normal weight compared to overweight or obese children.

scholarly journals Monitoring of iron status in patients with heart failure

2019 ◽  
Vol 21 (Supplement_M) ◽  
pp. M32-M35 ◽  
Author(s):  
Ewa A Jankowska ◽  
Michał Tkaczyszyn ◽  
Marcin Drozd ◽  
Piotr Ponikowski
Keyword(s):  
Heart Failure ◽  
Iron Deficiency ◽  
Serum Ferritin Level ◽  
Iron Status ◽  
Ferritin Level ◽  
Transferrin Saturation ◽  
Intravenous Iron ◽  
Accurate Method ◽  
Separate Entity ◽  
Patients With Heart Failure

Abstract The 2016 ESC/HFA heart failure (HF) guidelines emphasize the importance of identifying and treating iron deficiency (ID) in patients with HF. Iron deficiency can occur in half or more of HF sufferers, depending on age and the phase of the disease. Iron deficiency can be a cause of anaemia, but it is also common even without anaemia, meaning that ID is a separate entity, which should be screened for within the HF population. Although assessment of iron stores in bone marrow samples is the most accurate method to investigate iron status, it is not practical in most HF patients. Levels of circulating iron biomarkers are an easily available alternative; especially, ferritin and transferrin saturation (Tsat). In patients with HF serum ferritin level &lt;100 µg/L (regardless of Tsat value) or between 100 and 299 µg/L with Tsat &lt;20% are considered as recommended criteria for the diagnosis of ID, criteria which have been used in the clinical trials in HF that have led to a recommendation to treat ID with intravenous iron. We discuss the optimal measures of iron biomarkers in patients with HF in order to screen and monitor iron status and introduce some novel ways to assess iron status.

scholarly journals Prevalence and pattern of Iron deficiency in patient with heart failure with reduced ejection fraction

2019 ◽  
Vol 7 (2) ◽  
pp. 10-16
Author(s):  
Aditya Mahaseth ◽  
Jay Narayan Shah ◽  
Bikash Nepal ◽  
Biplave Karki ◽  
Jeet Ghimire ◽  
...  
Keyword(s):  
Heart Failure ◽  
Iron Deficiency ◽  
Ejection Fraction ◽  
Serum Ferritin ◽  
Iron Status ◽  
Transferrin Saturation ◽  
Functional Iron Deficiency ◽  
Reduced Ejection Fraction ◽  
Patients With Heart Failure ◽  
Absolute Iron Deficiency

Background and Objectives: Iron Deficiency is the commonest nutritional deficiency worldwide, affecting more than one-third of the population, its association with Heart Failure with or without anemia is of growing interest. As iron supplementation improves prognosis in patients with Heart Failure, Iron Deficiency is an attractive therapeutic target – a hypothesis that has recently been tested in clinical studies. This study is designed to estimate the prevalence and pattern of iron deficiency (ID) in heart failure (HF) with reduced ejection fraction patients with or without anemia. Material and methods: It was a single center hospital based cross sectional observational study. A total of 60 male and female patients with diagnosis of heart failure based on the Framingham Criteria, who gave consent for the study were included. They underwent laboratory evaluation including hemoglobin concentration, serum iron, transferrin saturation percentage, serum ferritin, total iron binding capacity. Serum ferritin <100 μg/l was used to diagnose absolute ID. Functional ID was defined as a serum ferritin level of 100–300 μg/l and a transferrin saturation of <20 %. Anemia was defined as hemoglobin (Hb) <13 g/dl for males and <12 g/dl for females, based on World Health Organization definition. Results: Using the above definitions iron deficiency was found in 28 (46.67%) patients. 36.67% patients had absolute iron deficiency and 10% patients had functional iron deficiency. Females had a higher non statistically significant iron deficiency than males 63.16% vs 39.02%. 15 patients (48.38%) with iron deficiency did not have anemia, and 11 (35.5%) of those patients had absolute iron deficiency. Conclusion: Iron deficiency is prevalent in patients with heart failure and reduced ejection fraction irrespective of anemia and hemoglobin levels. Many of those patients can have functional iron deficiency. Measurement of iron status should be a routine during workup of heart failure patients and further studies are needed to determine the prognostic value of iron status measurement and the influences of treatment of iron deficiency in heart failure patients. Many such trials are now underway.  

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