Quantitative relations between baseline iron status , study duration , and iron dose on changes in iron-status biomarkers , which were generated from the meta-analyses , can be used to predict effects of trials of iron supplementation and fortification and to design iron-intervention programs
BACKGROUND The response of status biomarkers to an increase in iron supply depends on several physiologic and environmental factors , which make it difficult to predict the outcome of an intervention .
OBJECTIVE We assessed effects of baseline iron status , sex , menopausal status , duration of intervention , iron form , and daily dose on the change in iron status in response to iron supplementation .
Effects of low-dose iron supplementation in women with low serum ferritin concentration.
We studied effects of dose and treatment duration during low-dose iron supplementation in premenopausal , non-pregnant women , with initial serum ferritin and haemoglobin concentrations < 20 micrograms x l-1 and > or = 120 g x l-1 , respectively . The study was r and omized , double-blind and placebo-controlled . Three groups completed a 6-month study : placebo ( n = 27 ) , FE-9 ( 9 mg iron x day-1 , n = 18 ) and FE-27 group ( 27 mg iron x day-1 , n = 19 ) . The supplement consisted of 11 % heme and 89 % inorganic iron . In FE-27 , serum ferritin increased from ( mean , 95 % confidence interval ) 11.8 ( 9.7 ; 14.4 ) to 25.3 ( 18.6 ; 34.4 ) micrograms x l-1 in 1 month , and remained stable after that ( ANOVA : group effect , P = 0.0003 ) . In both FE-9 and FE-27 , blood haemoglobin levels increased from 136 ( 132 ; 140 ) to 142 ( 139 ; 145 ) g x l-1 in 1 month , remaining constant after that ( group effect , P = 0.001 ) . Hence , the 27 mg daily dose of organic/inorganic iron corrected both mild anaemia and storage iron depletion , whereas the 9 mg dose did not affect iron stores . Elongation of treatment duration above 1 month brought about only minor changes
Quantitative relations between baseline iron status , study duration , and iron dose on changes in iron-status biomarkers , which were generated from the meta-analyses , can be used to predict effects of trials of iron supplementation and fortification and to design iron-intervention programs
BACKGROUND The response of status biomarkers to an increase in iron supply depends on several physiologic and environmental factors , which make it difficult to predict the outcome of an intervention .
OBJECTIVE We assessed effects of baseline iron status , sex , menopausal status , duration of intervention , iron form , and daily dose on the change in iron status in response to iron supplementation .