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Monyeki MA, Veldsman T, Coetzee B, Sparks M, Moss SJ, Pienaar C, Swanepoel M, Malan L, Kruger HS. Relationships between Iron Status and Selected Physical Fitness Components of South African Adolescents: The PAHL-Study. CHILDREN (BASEL, SWITZERLAND) 2024; 11:659. [PMID: 38929238 PMCID: PMC11202035 DOI: 10.3390/children11060659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/10/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024]
Abstract
Poor iron status is detrimental to physical and cognitive performance in adolescents. Due to the limited studies investigating the association between iron status and physical fitness components in adolescents from low- and middle-income countries, we aimed to determine the association of iron status with selected physical fitness components in South African adolescents. A cross-sectional study design, including 178 adolescents (102 girls and 76 boys) from the Physical Activity and Health Longitudinal Study (PAHLS), was followed. Height and weight were measured to calculate the body mass index (BMI). Subsequently, WHO BMI-for-age-specific categorised body fatness. Cardiorespiratory fitness was determined with a 20-m shuttle run test (V˙O2max), and lower-body explosive power by the standing broad jump (SBJ). Fasting haemoglobin (Hb) and ferritin were analysed from blood samples. Correlation analyses determine the association between iron status, explosive power and cardiorespiratory fitness. Of the 178 participants, 18.5% (n = 33) had low Hb, and 14% (n = 25) iron deficiency without anaemia. Significant positive correlations were found between the selected physical fitness components, ferritin, and Hb. In boys, a positive association was found between Hb and SBJ (r = 0.30, p = 0.006), whilst in girls, positive associations were found between ferritin (r = 0.25, p = 0.04) and SBJ, and Hb with both SBJ (r = 0.21, p = 0.03) and V˙O2max (r = 0.32, p = 0.001). Hb concentration remained associated with V˙O2max and SBJ in girls after adjustment for age, whilst in boys, Hb concentration was associated with SBJ. Higher iron status in South African adolescents is associated with higher lower-limb explosive power and cardiorespiratory fitness. We suggest monitoring of haematological parameters, and interventions to improve the iron status of South African adolescents.
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Affiliation(s)
- Makama Andries Monyeki
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
| | - Tamrin Veldsman
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
- School of Health and Medical Sciences, University of Southern Queensland, Ipswich, QLD 4305, Australia
| | - Ben Coetzee
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
| | - Martinique Sparks
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
- School of Health and Medical Sciences, University of Southern Queensland, Ipswich, QLD 4305, Australia
- Centre for Health Research, University of Southern Queensland, Ipswich, QLD 4305, Australia
| | - Sarah Johanna Moss
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
| | - Cindy Pienaar
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
- Department of Sport Studies, Durban University of Technology, Kwa-Zulu Natal 4000, South Africa
| | - Mariette Swanepoel
- Physical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (T.V.); (B.C.); (M.S.); (S.J.M.); (C.P.); (M.S.)
| | - Linda Malan
- Centre of Excellence for Nutrition, Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (L.M.); (H.S.K.)
| | - Herculina Salome Kruger
- Centre of Excellence for Nutrition, Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa; (L.M.); (H.S.K.)
- Medical Research Council Research Unit for Hypertension and Cardiovascular Disease, Faculty of Health Sciences, North-West University, Potchefstroom 2520, South Africa
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Lewis JI, Friis H, Mupere E, Wells JC, Grenov B. Calibration of Bioelectrical Impedance Analysis Against Deuterium Dilution for Body Composition Assessment in Stunted Ugandan Children. J Nutr 2023; 153:426-434. [PMID: 36894235 DOI: 10.1016/j.tjnut.2022.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/09/2022] [Accepted: 12/28/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND BIA represents an important tool in body composition (BC) assessment, especially in low-income settings in which simple and affordable options are preferred. There is a particular need to measure BC in stunted children, in which cases population-specific BIA estimating equations are lacking. OBJECTIVES We calibrated an equation to estimate body composition from BIA using deuterium dilution (2H) as the criterion method in stunted children. METHODS We measured BC with 2H and performed BIA in stunted Ugandan children (n = 50). Multiple linear regression models were constructed to predict 2H-derived FFM from BIA-derived whole-body impedance and other relevant predictors. Model performance was expressed as adjusted R2 and RMSE. Prediction errors were also calculated. RESULTS Participants were aged 16-59 mo, of whom 46% were girls, and their median (IQR) height-for-age z-score (HAZ) was -2.58 (-2.92 to -2.37) according to the WHO growth standards. Impedance index (height2/impedance measured at 50 kHz) alone explained 89.2% variation in FFM and had an RMSE of 583 g (precision error 6.5%). The final model contained age, sex, impedance index, and height-for-age z-score as predictors and explained 94.5% variation in FFM with an RMSE of 402 g (precision error 4.5%). CONCLUSIONS We present a BIA calibration equation for a group of stunted children with a relatively low prediction error. This may help evaluate the efficacy of nutritional supplementation in large-scale trials in the same population. J Nutr 20XX;xxx:xx.
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Affiliation(s)
- Jack I Lewis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ezekiel Mupere
- Department of Paediatrics and Child Health, School of Medicine College of Health Sciences, Makerere University, Kampala, Uganda
| | - Jonathan C Wells
- Childhood Nutrition Research Centre, Population, Policy, and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Benedikte Grenov
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
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Baran R, Baran J, Leszczak J, Bejer A, Wyszyńska J. Sociodemographic and Socioeconomic Factors Influencing the Body Mass Composition of School-Age Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811261. [PMID: 36141532 PMCID: PMC9517388 DOI: 10.3390/ijerph191811261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/26/2022] [Accepted: 09/06/2022] [Indexed: 05/31/2023]
Abstract
The purpose of the study was to evaluate the components of overweight, obesity, and body mass components among children aged 7 to 13 years against important sociodemographic factors. The analyses considered 315 school-age children from 7 to 13 years of age (164 boys and 151 girls). Each subject was assessed for body weight and height, body weight category, and main sociodemographic factors. Body mass components of body mass (body-fat percentage (BFP), muscle tissue, fat-free mass (FFM), and total body water (TBW) levels) were evaluated using the electrical bioimpedance method (BIA) and the TANITA 780 MC analyzer. A statistical analysis showed significant differences between the body composition of children living in cities in relation to children living in small towns and villages, and no significant differences were found between the results of children living in small towns and children living in villages. The presence of statistically significant differences between the values of the parameters of body composition of the studied children was demonstrated depending on the level of education of their fathers. The presence of statistically significant relationships between BMI of mothers and BFP of their children (p = 0.003), FFM (p = 0.003), muscle tissue (p = 0.001), and TBW (p = 0.001) has been demonstrated. The higher content of adipose tissue in children is strongly dependent on the higher BMI and body mass category of the mother, as well as the lower level of education of the father. The place of residence also significantly affects both the body fat content and the total body water content of body hydration. Living in the city is associated with better body composition.
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Affiliation(s)
- Rafał Baran
- Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
- SOLUTION-Statistical Analysis, 35-120 Rzeszów, Poland
| | - Joanna Baran
- Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
- Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland
| | - Justyna Leszczak
- Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
- Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland
| | - Agnieszka Bejer
- Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
- Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland
| | - Justyna Wyszyńska
- Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
- Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland
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