Is Obesity Associated With Anemia of Chronic Disease? A Population‐based Study

Ausk, Karlee; Ioannou, George N.

doi:10.1038/oby.2008.353

Cited by 154 publications

(162 citation statements)

References 29 publications

(36 reference statements)

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“…The results of our study however showed that BMI had no association with haemoglobin, MCV, and other red cell indices. This result contradicts other previous studies [26,27] but is in correlation with other recent works by Akram et al [28] and the work of Manal et al [29]. Our observation is directly backed by the apparent lack of increase in the red blood cells, haematocrit or haemoglobin in the BMI subgroup analyses.…”

Section: Discussioncontrasting

confidence: 57%

Correlation between Body Mass Index and Hematological Indices in Young Adult Nigerians with Different Hemoglobin Genotypes

Ajayi¹,

Akinbo²,

Okafor³

2017

Am. J. Biomed. Sci.

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In view of the association of various haemoglobin electrophoretic patterns with different pathological conditions and obesity with its attendant risk factors for cardiac and pulmonary disorders, the present study evaluated the relationship between body mass index and haematological indices by randomly selecting young adult Nigerians with different haemoglobin electrophoretic patterns within the age group of 17-45 years and mean age of ±31 years old. 215 participants were enlisted for this study with their BMI and other anthropometric indices measured and grouped into different BMI categories as recommended by the World Health Organization. Haematological indices such as packed cell volume, total and differential white blood cell count, and platelets as well as haemoglobin (Hb) electrophoresis were assessed in relation to their anthropometric measurements using standard methods. We observed a significantly increased neutrophil and platelet counts in the subjects with BMI > 25 kg/m 2 . BMI was also observed to be positively correlated with the neutrophil, monocyte counts and MCV of haemoglobin AS and SS genotype groups in this study. This study showed a higher percentage of overweight and obesity among females, and haematological dyscrasias in mostly the HbSS subjects. Knowledge of the relationship between BMI and hematological indices of apparently healthy individuals within any population is therefore essential in healthcare planning, as a justification for early prognosis and genetic counselling policy strategically reducing the incidence of obesity, its attendant conditions and haemoglobinopathies in Nigeria.

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Section: Discussioncontrasting

confidence: 57%

Correlation between Body Mass Index and Hematological Indices in Young Adult Nigerians with Different Hemoglobin Genotypes

Ajayi¹,

Akinbo²,

Okafor³

2017

Am. J. Biomed. Sci.

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“…Several studies have shown no excess risk of anemia in patients with obesity despite increased inflammation and functional iron deficiency related to the hepcidin increase (15,31,32). We previously described a 40% lower risk of anemia in obese patients in the Nephrotest cohort (15).…”

Section: Discussionmentioning

confidence: 99%

Timing and Determinants of Erythropoietin Deficiency in Chronic Kidney Disease

Mercadal

Metzger

Casadevall

et al. 2012

Clinical Journal of the American Society of Nephrology

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on behalf of the NephroTest Study Group Summary Background and objectives Anemia in patients with CKD is highly related to impaired erythropoietin (EPO) response, the timing and determinants of which remain unknown.Design, setting, participants, & measurements This study measured EPO levels and studied their relation to GFR measured by 51Cr-EDTA renal clearance (mGFR) in 336 all-stage CKD patients not receiving any erythropoiesis-stimulating agent.Results In patients with anemia defined by World Health Organization criteria (hemoglobin [Hb] ,13 g/dl in men and 12 g/dl in women), EPO response to Hb level varied by mGFR level. EPO and Hb levels were negatively correlated (r=20.22, P=0.04) when mGFR was .30 ml/min per 1.73 m 2 , whereas they were not correlated when mGFR was ,30 (r=0.09, P=0.3; P for interaction=0.01). In patients with anemia, the ratio of observed EPO to the level predicted by the equation for their Hb level decreased from 0.72 (interquartile range, 0.57-0.95) for mGFR $60 ml/min per 1.73 m 2 to 0.36 (interquartile range, 0.16-0.69) for mGFR ,15. Obesity, diabetes with nephropathy other than diabetic glomerulopathy, absolute iron deficiency, and high C-reactive protein concentrations were associated with increased EPO levels, independent of Hb and mGFR.Conclusions Anemia in CKD is marked by an early relative EPO deficiency, but several factors besides Hb may persistently stimulate EPO synthesis. Although EPO deficiency is likely the main determinant of anemia in patients with advanced CKD, the presence of anemia in those with mGFR .30 ml/min per 1.73 m 2 calls for other explanatory factors.

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“…This was previously confirmed in this elderly community (12) and it seems as if it has remained unchanged. It has recently been found that obesity is associated with chronic, low-grade systemic inflammation which may be associated with IDA, specifically raised ferritin, low serum Fe and low Hb levels (25) . In the present study, higher hs-CRP levels were observed in the overweight and obese categories of both women and men.…”

Section: Discussionmentioning

confidence: 99%

“…Because obesity is characterised by chronic low-grade inflammation, it may be related to the characteristics of anaemia inflammation such as raised serum ferritin, low serum Fe and low Hb levels (25) . hs-CRP was positively associated with BMI, thus inflammation was associated with overweight and obesity in the present study.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Is obesity associated with iron status in the elderly? A case study from Sharpeville, South Africa

Oldewage‐Theron

Egal

Grobler

2014

Public Health Nutr.

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Objective: To investigate the relationship between poor Fe status and overweight or obesity in elderly respondents in South Africa. Design: Cross-sectional, observational baseline survey. Setting: Sharpeville, South Africa. Subjects: A sample size calculation determined a representative sample of 104 randomly selected elderly ($60 years) respondents. Measurements included weight, height, biochemical and haematological parameters. Measured BMI was used to categorise the respondents into normal weight, overweight and obese groups. Results: The majority of the women were overweight (28?4 %) or obese (54?6 %); 58 % of the respondents had normal Fe status, 15 % were classified as Fe depleted, 9 % as Fe deficient and 13 % as Fe-deficient anaemic. Ten per cent of the respondents had low Hb levels with no other low Fe status parameters, and were thus anaemic due to other causes. A significant correlation (r 5 0?318, P , 0?001) existed between BMI and high-sensitivity C-reactive protein (hs-CRP). hs-CRP was negatively correlated to serum Fe levels (r 5 20?319, P , 0?001). No significant relationships existed between BMI and Fe status parameters. Conclusions: A coexistence of obesity and poor Fe status were observed in these elderly respondents. The positive relationship between hs-CRP and BMI indicated chronic inflammation in the higher BMI groups. The negative relationship between hs-CRP and serum Fe indicated that lower serum Fe levels were related to the inflammation linked with higher BMI. A relationship between obesity-related chronic, low-grade inflammation and poor Fe status has been found in adults, but the significance of the current study is that this relationship was also confirmed for elderly persons.

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Is Obesity Associated With Anemia of Chronic Disease? A Population‐based Study

Cited by 154 publications

References 29 publications

Correlation between Body Mass Index and Hematological Indices in Young Adult Nigerians with Different Hemoglobin Genotypes

Correlation between Body Mass Index and Hematological Indices in Young Adult Nigerians with Different Hemoglobin Genotypes

Timing and Determinants of Erythropoietin Deficiency in Chronic Kidney Disease

Is obesity associated with iron status in the elderly? A case study from Sharpeville, South Africa

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