Association of body mass index with hemoglobin concentration and iron parameters in Iranian population

Association between blood hemoglobin levels, anemia, and body mass index in children and women of Myanmar: findings from a nationally representative health study

Despite the high prevalence of anemia and malnutrition in Myanmar, the relationship between anemia and body mass index (BMI) remains underexplored. We analyzed nationally representative data from the Myanmar Demographic and Health Survey (MDHS) 2015-2016 to explore the effects of BMI on hemoglobin levels and anemia among children (n = 2,937) and women (n = 9,262). Anemia was defined as hemoglobin levels < 11 g/dl for children and pregnant women, and < 12 g/dl for nonpregnant women, with BMI categories classified according to WHO guidelines. General linear models, Pearson's correlation, and logistic regression models were used in the analysis. Mean blood hemoglobin levels were 10.69 ± 1.30 g/dl for children and 11.96 ± 1.56 g/dl for women. Increased BMI was associated with increased hemoglobin levels in women (R = 0.142, p < 0.001). Logistic regression models predicted that severely underweight (COR, 1.26; CI: 1.02-1.57) and underweight women (COR, 1.17; CI: 1.02-1.34), pregnant women (AOR, 6.85; CI: 5.20-9.02), women with poorest wealth index (COR, 1.16; CI: 1.02-1.33), and women from rural regions (AOR, 1.13; CI: 1.01-1.26) and coastal zones (AOR, 1.65; CI: 1.40-1.95) were at higher risk of anemia. This study demonstrates a positive association between BMI and blood hemoglobin levels, with a lower risk of anemia in overweight and obese women. However, no associations were observed in children. Targeted nutritional interventions for underweight and pregnant women might be beneficial in mitigating anemia risk.

A Systematic Review of Proteomics in Obesity: Unpacking the Molecular Puzzle

PURPOSE OF REVIEW

The present study aims to review the existing literature to identify pathophysiological proteins in obesity by conducting a systematic review of proteomics studies. Proteomics may reveal the mechanisms of obesity development and clarify the links between obesity and related diseases, improving our comprehension of obesity and its clinical implications.

RECENT FINDINGS

Most of the molecular events implicated in obesity development remain incomplete. Proteomics stands as a powerful tool for elucidating the intricate interactions among proteins in the context of obesity. This methodology has the potential to identify proteins involved in pathological processes and to evaluate changes in protein abundance during obesity development, contributing to the identification of early disease predisposition, monitoring the effectiveness of interventions and improving disease management overall. Despite many non-targeted proteomic studies exploring obesity, a comprehensive and up-to-date systematic review of the molecular events implicated in obesity development is lacking. The lack of such a review presents a significant challenge for researchers trying to interpret the existing literature. This systematic review was conducted following the PRISMA guidelines and included sixteen human proteomic studies, each of which delineated proteins exhibiting significant alterations in obesity. A total of 41 proteins were reported to be altered in obesity by at least two or more studies. These proteins were involved in metabolic pathways, oxidative stress responses, inflammatory processes, protein folding, coagulation, as well as structure/cytoskeleton. Many of the identified proteomic biomarkers of obesity have also been reported to be dysregulated in obesity-related disease. Among them, seven proteins, which belong to metabolic pathways (aldehyde dehydrogenase and apolipoprotein A1), the chaperone family (albumin, heat shock protein beta 1, protein disulfide-isomerase A3) and oxidative stress and inflammation proteins (catalase and complement C3), could potentially serve as biomarkers for the progression of obesity and the development of comorbidities, contributing to personalized medicine in the field of obesity. Our systematic review in proteomics represents a substantial step forward in unravelling the complexities of protein alterations associated with obesity. It provides valuable insights into the pathophysiological mechanisms underlying obesity, thereby opening avenues for the discovery of potential biomarkers and the development of personalized medicine in obesity.

Severe obesity in total knee arthroplasty occurs in younger patients with a greater healthcare burden and complication rate

BACKGROUND

Knee osteoarthritis in the presence of severe obesity (BMI ≥ 40) is becoming an increasing presentation to healthcare services. When progressing to arthroplasty, this group is known to have higher complication rates.

METHOD

A retrospective cohort study at a tertiary referral centre (UK) with all sequential patients undergoing TKA between 2019 and 2020 included following identification from the UK National Joint Registry. Patients were divided by BMI < 40 and BMI ≥ 40 (86, 16.3%). Analysis of BMI with pre-operative parameters including age, ASA, and blood parameters was performed. Primary outcome was re-operation rate. Secondary outcomes included length of stay, complications, and re-admission.

RESULTS

Five hundred and twenty-eight sequential TKA patients were included. The BMI < 40 group (442 patients, 83.7%) were mean 5.4 years younger (p < 0.001), had a higher ASA grade (p < 0.001) lower albumin (p < 0.001) and higher HbA1c (p < 0.001) than the BMI ≥ 40 group (86 patients, 16.3%). The BMI ≥ 40 group had a higher rate of re-operation (8% vs 2%, p = 0.012), and longer length of stay (mean 1.2 days longer p < 0.001), most commonly due to wound discharge, which alongside dehiscence was significantly higher (11.6% vs 4.3% p = 0.02). Overall, re-admission rates were also higher (18.6% vs 6.1% p = 0.06) with wound dehiscence, superficial infection, and deep infection the most common causes.

CONCLUSIONS

Those patients undergoing TKA with a BMI ≥ 40 are younger and have higher reoperation rates, greater length of stay, higher re-admission rates and more postoperative complications, providing a target for the development of pre-operative optimisation programmes.

Micronutrients and socio-demographic factors were major predictors of anaemia among the Ethiopian population

Anaemia is characterised by low hemoglobin (Hb) concentration. Despite being a public health concern in Ethiopia, the role of micronutrients and non-nutritional factors as a determinant of Hb concentrations has been inadequately explored. This study focused on the assessment of serum micronutrient and Hb concentrations and a range of non-nutritional factors, to evaluate their associations with the risk of anaemia among the Ethiopian population (n 2046). It also explored the mediation effect of Zn on the relation between se and Hb. Bivariate and multivariate regression analyses were performed to identify the relationship between serum micronutrients concentration, inflammation biomarkers, nutritional status, presence of parasitic infection and socio-demographic factors with Hb concentration (n 2046). Sobel-Goodman test was applied to investigate the mediation of Zn on relations between serum se and Hb. In total, 18·6 % of participants were anaemic, 5·8 % had iron deficiency (ID), 2·6 % had ID anaemia and 0·6 % had tissue ID. Younger age, household head illiteracy and low serum concentrations of ferritin, Co, Cu and folate were associated with anaemia. Serum se had an indirect effect that was mediated by Zn, with a significant effect of se on Zn (P < 0·001) and Zn on Hb (P < 0·001). The findings of this study suggest the need for designing a multi-sectorial intervention to address anaemia based on demographic group.

Anemia and associated factors among patients admitted with metabolic syndromes at Worabe Comprehensive Specialized Hospital, Southern Ethiopia: A cross-sectional study

Background

Anemia is a condition in which the number of red blood cells is inadequate to meet the physiologic needs of the human body oxygen and it is highly prevalent among individuals with metabolic syndromes as a complication in turn speed up the progression and the number of adverse outcomes unless the proper measure is undertaken. Determination of anemia may play a major role in the management and early aversion of complications in an admitted patient with metabolic syndromes. Therefore, this study aimed to determine anemia and its associated factors among patients with admitted metabolic syndromes at Worabe Comprehensive Specialized hospital, Southern Ethiopia from March 1 to May 30, 2021.

Methods and materials

An institutional-based cross-sectional study design was conducted on 324 adult patients admitted with metabolic syndromes. Structured questionnaires through face-to-face interviews and participants’ medical records were used to collect information on determinants related to anemia. A blood sample was collected to determine hematological parameters, biochemical profile, and blood film preparation. Data were analyzed by SPSS version 22. Binary logistic regression analyses were done to identify factors associated with anemia. The p-value was set at <0.05 with a 95% confidence interval of the adjusted odds ratio.

Results

A total of 324 admitted adult patients with metabolic syndromes were involved. The overall prevalence of anemia among study participants was 25.3% (95%CI: 20.7, 30.2), of which 52.4% had moderate anemia and 56% had microcytic types of anemia. Being alcoholic (AOR = 6.25, 95% CI: (3.05, 12.82)), obese (AOR = 3.34, 95% CI: (1.02, 11.21)), dyslipidemic (AOR = 2.06, 95% CI: (1.02, 4.17)), and diabetic (AOR = 2.61, 95%CI: (1.31, 5.21)) were significantly associated with anemia.

Conclusion

The prevalence of anemia among patients admitted with metabolic syndrome observed in this study was a moderate public health problem. Taking alcohol, being dyslipidemic, obese and diabetic was significantly associated with anemia. The finding of this study should be taken into consideration to implement preventive interventions on identified factors in study percipients. Taking fruit and vegetable, and promoting physical exercise, routine determination of fasting blood glucose and hemoglobin level in adult admitted metabolic syndromes patients were recommended to minimize the emergence of anemia.

Association between RBC Indices, Anemia, and Obesity-Related Diseases Affected by Body Mass Index in Iranian Kurdish Population: Results from a Cohort Study in Western Iran

OBJECTIVE

The relationship between RBC indices and metabolic diseases remains unclear. The association between anemia and obesity is also controversial. The present study aimed to investigate the relationship between RBC indices and metabolic diseases caused by obesity and evaluate the effect of body mass index (BMI) on RBC indices on the Ravansar cohort data.

METHOD

For the purpose of this study, 9826 participants aged 35-65 years (5158 females and 4668 males) were recruited in the analyses. A quadratic prediction fit plot investigated the association between RBC indices with BMI and lipid profile. The odds ratio of obesity-related diseases in each quartile category of RBC indices and anemia was estimated using multivariable logistic regression models.

RESULTS

Subjects in the fourth quartiles of RBC count, hematocrit (HCT), hemoglobin (HGB), and red cell distribution width (RDW) had a higher risk for obesity-related diseases compared to the first quartiles. However, individuals with the mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) in fourth quartiles had lower ORs of obesity-related diseases. While BMI reduced the effect of RBC count, HCT, HGB, and RDW on the incidence risk of obesity-related disease, it increased the impact of MCV, MCH, and MCHC. There was a negative association between BMI and RBC indices except for RDW. The BMI effect on RBC indices was different in normal and obese individuals. BMI in mild anemia lowered the risk of metabolic diseases, but it increased the risk of metabolic diseases for moderate anemia.

CONCLUSION

A higher risk of obesity-related diseases was observed in the fourth quartiles of RBC count, HCT, HGB, and RDW compared to the first quartiles. However, the incidence risk was lower for MCV, MCH, and MCHC. BMI plays an anemia-type dependent role in the relationship. Consideration should be given to the type of anemia in the relationship between BMI and anemia.

Correlations Between Red Blood Cells' Variables, Cardio-Pysiological and Anthropological Variables in Young Athletes

AIM

The aim of this study was to determine and analyse the relations between anthropometric parameters, red blood cells' (RBC) variables and cardio-physiological parameters in healthy and physically active children and adolescents.

MATERIAL AND METHODS

In this study 625 subjects, (410 males and 215 females; age span 8 to 18 years) underwent body composition analysis (Matiegka method), blood analysis and ergometry testing (Bruce protocol).

RESULTS

In both groups, body height and weight were positively correlated with RBC variables. In female group almost all correlations between RBC variables and body components were insignificant. In boys all absolute body mass components showed positive correlations with RBC variables with notice that body fat mass had lowest correlation coefficient. Body fat percent (BF %) did not show any correlation with RBC variables in both gender groups. In boys BF % had moderate negative correlation with aerobic performance: exercise time (ET) and VO2max (rs = -0.41 and rs = -0.39). Lean body components showed weak positive correlations with ET and VO2max. RBC count did not show significant correlation with any cardio-physiological parameter in both groups. Haematocrit and haemoglobin showed weak positive correlations with VO2 max and general endurance (exercise time). In girls all correlations between cardio-physiological and RBC variables were insignificant. The relationship between all body components and all cardio-physiological variables in girls were statistically insignificant.

CONCLUSIONS

Our findings revealed that there are some expected positive correlations between lean body mass components, aerobic performance and RBC variables in boys, while in girls such relations were not noticed.

Hemoglobin Changes After Long-Term Intermittent Work at High Altitude

Chronic high altitude hypoxia leads to an increase in red cell numbers and hemoglobin concentration. However, the effects of long-term intermittent hypoxia on hemoglobin concentration have not fully been studied. The aim of this study was to evaluate hemoglobin levels in workers commuting between an elevation of 3,800 m (2-week working shift) and lowland below 1,700 m (2 weeks of holiday). A total of 266 healthy males, aged from 20 to 69 years (mean age 45.9 ± 0.6 years), were included into this study. The duration of intermittent high altitude exposure ranged from 0 to 21 years. Any cardiac or pulmonary disorder was excluded during annual check-ups including clinical examination, clinical lab work (blood cell count, urine analysis, and biochemistry), ECG, echocardiography, and pulmonary function tests. The mean hemoglobin level in workers was 16.2 ± 0.11 g/dL. Univariate linear regression revealed an association of the hemoglobin levels with the years of exposure. Hemoglobin levels increased 0.068 g/dL [95% CI: 0.037 to 0.099, p < 0.001] for every year of intermittent high altitude exposure. Further, after adjusting for other confounding variables (age, living at low or moderate altitude, body mass index, and occupation) using multivariable regression analysis, the magnitude of hemoglobin level changes decreased, but remained statistically significant: 0.046 g/dL [95% CI: 0.005 to 0.086, p < 0.05]. Besides that, a weak linear relationship between hemoglobin levels and body mass index was revealed, which was independent of the years of exposure to high altitude (0.065 g/dL [95% CI: 0.006 to 0.124, p < 0.05]). We concluded that hemoglobin levels have a linear relationship with the exposure years spent in intermittent hypoxia and body mass index.

The Relevance of Vitamin and Iron Deficiency in Patients with Inflammatory Bowel Diseases in Patients of the Swiss IBD Cohort

BACKGROUND ANDAIMS

Vitamin and iron deficiencies are common in patients with inflammatory bowel disease (IBD) as a result of chronic intestinal inflammation, increase in demand, or dietary restrictions. Here, we assessed the frequency of complications in relation to deficiency of iron, folate acid, and vitamin B12 in patients enrolled in the nationwide Swiss Inflammatory Bowel Disease Cohort Study (SIBDCS).

METHODS

A total of 2666 patients were included in the study, 1558 with Crohn's disease (CD) and 1108 with ulcerative colitis (UC).

RESULTS

Iron deficiency anemia was detected in 19.6% of CD patients and 21.6% of UC patients. In CD patients low BMI and nonsmoker status were positively associated with anemia. In both CD and UC, malabsorption syndrome, defined as failure of the GI tract to absorb 1 or more substances from the diet, was found to be significantly associated with anemia (6.2% and 3.8%, respectively) and current steroid use (40% CD, 52.7% UC). In CD patients with ileal (31.7% vs 20%) and colonic (29.9% vs 25%) disease location folate deficiency was significantly higher than in patients with ileocolonic CD or upper GI involvement. In CD patients, vitamin B12 deficiency was associated with the onset of stenosis and intestinal surgery (42.9% vs 32.8% and 46% vs 33% for patients with versus without B12 deficiency).

CONCLUSION

Our data indicate that due to frequent occurrence of deficiency states, regular monitoring and substitution of vitamins and iron are mandatory and may prevent long-term intestinal and extraintestinal complications in IBD patients.

High level of hemoglobin, white blood cells and obesity among Sudanese women in early pregnancy: a cross-sectional study

Aim:

To investigate the association between obesity and anemia/hemoglobin levels.

Material & methods:

A cross-sectional study was conducted at Khartoum, Sudan. Obstetric data were collected from 388 pregnant women at mean (standard deviation) of 10.5 (3.1) weeks of gestation using questionnaires. Weight and height were determined, and BMI was calculated.

Results:

There were 15 (4.4%), 95 (28.1%), 127 (37.6) and 101 (29.9%) women who were underweight, normal weight, (18.5–24.9 kg/m²), overweight (25–29.9 kg/m²) and obese (≥30 kg/m²), respectively. Hemoglobin levels and white blood cell counts were significantly higher in obese than nonobese groups. Compared with normal BMI, overweight and obesity were associated with higher hemoglobin level.

Conclusion:

Obese women had higher white blood cell count and hemoglobin level.

Obesity during pregnancy has many maternal and perinatal adverse effects. The current study was conducted to investigate the association between obesity, hemoglobin level and white blood cell count among pregnant Sudanese women in their early pregnancy. Around a third of the 388 women were obese. Hemoglobin level and white blood cells count were significantly higher in obese than nonobese women. Further studies are needed to fully understand the implications of this relationship.

Increased Body Mass Index may lead to Hyperferritinemia Irrespective of Body Iron Stores

Objective:

Obesity causes subclinical inflammation which results in the secretion of various bioactive peptides that are key players in metabolic regulation of iron homeostasis. We sought to establish correlation of one such peptide (ferritin) with marker of subclinical inflammation (CRP) in various BMI.

Methods:

Total 150 subjects between the ages of 20-60 years were included in the cross-sectional study conducted at Basic Medical Sciences Institute, Jinnah Post Graduate Medical Centre, Karachi, Pakistan. Body Mass Index (BMI) was calculated by weight (kg) /height (m²). The given values were used as reference for Group A: normal weight (18.0-22.9 kg/m2), Group B: overweight (23.0-24.9 kg/m2), Group C: obese (>25.0 kg/m2) according to South Asian criteria. Serum Iron, Total Iron Binding Capacity, serum Transferrin Saturation, serum Ferritin and C-reactive protein were measured by commercially available kits. ANNOVA with Tukey’s minimum significant difference and Spearman Rho correlation were used considering p<0.05 significant.

Results:

The results identified an increased serum Ferritin and CRP in obese versus lean subjects (p < 0.001). BMI showed significantly positive correlation with serum CRP (r = 0.815; p-value < 0.01) and Ferritin (r = 0.584; p-value < 0.01). However, serum Iron levels and Transferrin saturation decreased in obese versus normal weight individuals (p < 0.001).

Conclusion:

This integrated new data reveals that individuals with high BMI had high levels of Serum Ferritin despite low levels of iron with high levels of C- reactive protein. This might be caused due to inflammatory conditions prevailing in the presence of increased adipose tissue.

Obesity and iron deficiency: a quantitative meta-analysis

Hypoferraemia (i.e. iron deficiency) was initially reported among obese individuals several decades ago; however, whether obesity and iron deficiency are correlated remains unclear. Here, we evaluated the putative association between obesity and iron deficiency by assessing the concentration of haematological iron markers and the risks associated with iron deficiency in both obese (including overweight) subjects and non-overweight participants. We performed a systematic search in the databases PubMed and Embase for relevant research articles published through December 2014. A total of 26 cross-sectional and case-control studies were analysed, comprising 13,393 overweight/obese individuals and 26,621 non-overweight participants. Weighted or standardized mean differences of blood iron markers and odds ratio (OR) of iron deficiency were compared between the overweight/obese participants and the non-overweight participants using a random-effects model. Compared with the non-overweight participants, the overweight/obese participants had lower serum iron concentrations (weighted mean difference [WMD]: -8.37 μg dL(-1) ; 95% confidence interval [CI]: -11.38 to -5.36 μg dL(-1) ) and lower transferrin saturation percentages (WMD: 2.34%, 95% CI: -3.29% to -1.40%). Consistent with this finding, the overweight/obese participants had a significantly increased risk of iron deficiency (OR: 1.31; 95% CI: 1.01-1.68). Moreover, subgroup analyses revealed that the method used to diagnose iron deficiency can have a critical effect on the results of the association test; specifically, we found a significant correlation between iron deficiency and obesity in studies without a ferritin-based diagnosis, but not in studies that used a ferritin-based diagnosis. Based upon these findings, we concluded that obesity is significantly associated with iron deficiency, and we recommend early monitoring and treatment of iron deficiency in overweight and obese individuals. Future longitudinal studies will help to test whether causal relationship exists between obesity and iron deficiency.

Hemoglobin and Ferritin Concentrations in Subjects with Metabolic Syndrome

BACKGROUND

Metabolic syndrome (MetS), a clinical condition characterized by insulin resistance, glucose intolerance, dyslipidemia, hypertension, and obesity, has been linked with raised levels of serum ferritin (Sfr) concentrations.

OBJECTIVES

This study was carried out to compare hemoglobin (Hb) and Sfr concentrations in patients with MetS, regular donors and first-time donors.

MATERIALS AND METHODS

A total of 102 subjects who were between 18 and 60 years were enrolled for the study. They were divided into three groups. The first group (n = 20) was made up of 5 males and 15 females, all who met the criteria that define MetS. The second group (n = 52; M = 34, F = 18) were regular donors, while the last group (n = 30; M = 16, F = 14) were first-time donors or those who had not donated before. Following an overnight fast, 20 mL of venous blood was drawn from each subject. About 5 mL of this was put into sodium ethylenediaminetetraacetate (EDTA) specimen bottles for the full blood count parameters with Sysmex KX-21N hematology analyzer (made in Japan). The remaining 15 mL had serum separated for Sfr assay using enzyme-linked immunosorbent assay (ELISA) with a commercial assay kit manufactured by Teco Diagnostics.

RESULTS

Significant difference was found in the mean Sfr concentration of subjects with MetS (163 ± 136.92 ng/mL) and regular donors (41.46 ± 40.33 ng/mL), P = 0.001. The mean Sfr concentrations of subjects with MetS (163 ± 136.92 ng/mL) were also higher than that of first-time donors (102.46 ± 80.26 ng/mL), but it was not statistically significant, P = 0.053. The Hb concentrations of the three groups were not significantly different.

CONCLUSION

Sfr concentrations of regular donors were lower than that of subjects with MetS and first-time donors. The difference between regular donors and subjects with MetS was statistically significant. However, there is no significant difference in the Hb concentrations in the three groups. MetS is not associated with anemia or hyperferritinemia.

Comparative Evaluation of Iron Deficiency among Obese and Non-obese Children

BACKGROUND

Obese children are at the risk of micronutrient deficiency especially iron deficiency. Given the importance of iron deficiency in this age group and considering the existing discrepancies, present study was performed with the aim of evaluating iron deficiency in obese children.

MATERIAL AND METHOD

This study was conducted, in the form of a case-control study, on 100 children aged between 5 to 15 during June and November 2013 in Kashan. Cases consisted of 50 obese children and controls were 50 children who were not obese.Blood sample was drawn to check for serum iron, total iron binding capacity (TIBC) by biochemistry method and plasma ferritin by ELISA method. The obtained data were entered into SPSS software version 16 and statistically analyzed. P < 0.05 was identified as statistically significance.

RESULTS

The mean values of serum iron were 52.38 and 64.50 microg/dL for the case and control groups (P<0.02). TIBC levels in obese and non-obese Children were 434.80 and 382.28 microg/dL (P<0.008). The ferritin level in the study group was 70.56 versus 68.06 ng/ml in the control group (P=0.79). In the obese children group, 8.3% (n=2) of children with iron deficiency had ferritin levels less than 15 while in control group 100% (n=14) of iron deficient children had ferritin levels below 15 (P<0.001).

CONCLUSION

In our study, mean serum iron levels were lower among obese children in comparison with control group. However, ferritin concentrations were similar in both groups. It is supposed that due to inflammatory state caused by obesity, serum ferritin levels are naturally higher in obese people. It is suggested that higher levels of ferritin considered as normal reference values in obese people.