Ya-Fang Huang1, Teck-Siang Tok2, Chin-Li Lu3, Hsing-Ching Ko4, Min-Yu Chen5, Solomon Chih-Cheng Chen6. 1. Department of Clinical Laboratory, Pingtung Christian Hospital, Pingtung City, Taiwan. 2. Department of Pediatrics, Pingtung Christian Hospital, Pingtung City, Taiwan. 3. Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan. 4. Department of Pediatrics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan. 5. Department of Pediatrics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan. Electronic address: cych00026@gmail.com. 6. Department of Pediatrics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan; School of Medicine, Taipei Medical University, Taipei City, Taiwan. Electronic address: solomon.ccc@gmail.com.
Abstract
OBJECTIVE: Being overweight has been considered to be a risk factor of iron deficiency (ID). The objective of this study was to examine the relationship between being overweight and body iron status among Taiwanese adolescents. METHODS: A total of 2099 adolescents (1327 female) aged 12-19 years from four middle schools and one college in southern Taiwan participated in this study. Data on sex, age, body weight, height, hemoglobin concentration, plasma ferritin (PF), and serum iron (SI) levels were collected. According to the age- and sex-specific body mass index (BMI) percentiles, the participants were divided into four weight groups: underweight (<5(th) percentile), normal weight (5-84(th) percentile), overweight (85-94(th) percentile), and obese (≥95(th) percentile). A multivariate logistic regression model was used to estimate the odds ratio (OR) and the 95% confidence interval (CI) for each factor. RESULTS: The correlation coefficients of linear regression were positive for BMI-hemoglobin and BMI-PF, but negative for BMI-SI. Compared with the normal-weight group, the obese group had a lower risk of PF level <15 μg/L with an OR (95% CI) of 0.51 (0.30-0.87) but a higher risk of SI <60 μg/dL with an OR (95% CI) of 1.78 (1.34-2.37). The percentages of low PF declined as BMI increased, but the percentages of low SI rose, from underweight to obesity groups. CONCLUSION: The relationship between being overweight and depleted iron store depends on which indicator is used to define the iron deficiency. Being overweight or obese would not be a risk factor of ID in adolescents, if ID were defined by PF rather than SI level.
OBJECTIVE: Being overweight has been considered to be a risk factor of iron deficiency (ID). The objective of this study was to examine the relationship between being overweight and body iron status among Taiwanese adolescents. METHODS: A total of 2099 adolescents (1327 female) aged 12-19 years from four middle schools and one college in southern Taiwan participated in this study. Data on sex, age, body weight, height, hemoglobin concentration, plasma ferritin (PF), and serum iron (SI) levels were collected. According to the age- and sex-specific body mass index (BMI) percentiles, the participants were divided into four weight groups: underweight (<5(th) percentile), normal weight (5-84(th) percentile), overweight (85-94(th) percentile), and obese (≥95(th) percentile). A multivariate logistic regression model was used to estimate the odds ratio (OR) and the 95% confidence interval (CI) for each factor. RESULTS: The correlation coefficients of linear regression were positive for BMI-hemoglobin and BMI-PF, but negative for BMI-SI. Compared with the normal-weight group, the obese group had a lower risk of PF level <15 μg/L with an OR (95% CI) of 0.51 (0.30-0.87) but a higher risk of SI <60 μg/dL with an OR (95% CI) of 1.78 (1.34-2.37). The percentages of low PF declined as BMI increased, but the percentages of low SI rose, from underweight to obesity groups. CONCLUSION: The relationship between being overweight and depleted iron store depends on which indicator is used to define the iron deficiency. Being overweight or obese would not be a risk factor of ID in adolescents, if ID were defined by PF rather than SI level.
Authors: Lalani L Munasinghe; John P Ekwaru; Marco F Mastroeni; Silmara S B S Mastroeni; Paul J Veugelers Journal: PLoS One Date: 2019-03-07 Impact factor: 3.240
Authors: Wei Wu; Jinna Yuan; Yu Shen; Yunxian Yu; Xuefeng Chen; Li Zhang; Ke Huang; Jianying Zhan; Guan-Ping Dong; Junfen Fu Journal: BMJ Open Diabetes Res Care Date: 2020-07