Association Between Hemoglobin Levels and Osteoporosis in Chinese Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study.

Introduction

Diabetes Mellitus (DM) is one of the most common and fastest growing diseases worldwide, projected to affect 693 million adults by 2045. 1 , 2 Type 2 diabetes mellitus (T2DM) accounts for 90–95% of all diabetes. 3 The prevalence of osteoporosis (OP) is increasing as the growth in the aging population and lifestyle changes. As previously reported, the prevalence of osteoporosis in China was 6.46% and 29.13% for men and women aged 50 years and older, respectively. 4 As a chronic metabolic disease, T2DM can cause abnormal bone metabolism, microarchitectural deterioration of bone tissue and increased bone fragility, resulting in to the occurrence of diabetic osteoporosis. Compared with individuals without T2DM, an increase in fracture incidence, especially hip fracture, was observed in individuals with T2DM despite normal or even higher bone mineral density (BMD). 5 Obesity, poor glycemic control, longer duration and increased risk of falls may contribute to the increased fracture associated with T2DM. 6 A cohort study in Spain showed that men and women with T2DM were at a 28% and 57% higher risk of post hip fracture mortality, respectively. 7 T2DM patients have high mortality and disability after fracture, resulting in reduced quality of life and heavy burden on society. Therefore, early diagnosis of osteoporosis and prevention of fracture are critical for T2DM patients.

Early evidences indicated that the risk of anemia in patients with DM is 2–3 times higher than that of patients without DM. 8 Diabetes-related chronic hyperglycemia can cause hypoxia in the renal interstitium and impaired erythropoietin (EPO) production in peritubular fibroblasts, resulting in anemia. 9 Anemia not only increases the risk of diabetes-related microvascular and macrovascular complications, but is also associated with osteoporosis. Several preclinical studies have showed a close association between anemia and bone metabolism. In zebrafish, iron deficiency anemia affected bone formation through the BMPs signaling pathway. 10 EPO induced dose-dependent and mostly irreversible bone loss in mice, and anemia is a potent stimulus for EPO production. 11 Some authors concluded that increased expression of fetal hemoglobin drove osteoblast bone differentiation in association with decreased inflammatory cytokine release. 12 Such possible link has also be reported in clinical studies. Patients with anemia had lower BMD and higher incidence of osteopenia and osteoporosis, while older men with declining hip BMD also had increased risk of anemia. 13–16 Hemoglobin has been reported to be genetically associated with femoral neck BMD. 17 A cohort study in Pomerania corroborated a close link between anemia and poor bone quality in elderly people. 18 Similar results also appeared in a study of elderly people without anemia in South Korea. 19 A population-based study concluded that hemoglobin levels <140 g/L in men and <130 g/L in women best predicted osteoporosis. 20 However, a significant correlation between hemoglobin levels and BMD was not observed in another study. 21 The correlation between hemoglobin levels and osteoporosis is still not clear.

Previous studies on the association between hemoglobin levels and osteoporosis were mostly conducted in the non-DM population. To our knowledge, few studies exist on such relationship in T2DM patients. The aim of this study was to evaluate the relationship between hemoglobin levels and osteoporosis in T2DM patients, and to explore risk factors affecting the occurrence of osteoporosis in T2DM patients.

Materials and Methods

Subjects

A total of 2045 adults with T2DM were consecutively recruited from among hospitalized patients at the Department of Endocrinology and the Department of Geriatric Endocrinology of the First Affiliated Hospital of Guangxi Medical University from July 2020 to June 2021. Type 2 diabetes mellitus was diagnosed according to the American Diabetes Association criteria. 22 Inclusion criteria were age ≥18 years and presence of T2DM. Exclusion criteria were as follows: (1) patients with acute diabetic complications, inflammation or tumor; (2) severe heart failure, liver or renal impairments; (3) patients with diseases affecting bone metabolism or hemoglobin, such as hyperthyroidism, hypothyroidism, hyperparathyroidism, hypercortisolism, connective tissue diseases, multiple myeloma. (4) patients taking drugs affecting bone metabolism or hemoglobin, such glucocorticoid use. (5) lack of necessary data. Ultimately, 495 patients (299 men and 196 women) were eligible and included in the study ( Figure 1 ). The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Guangxi Medical University in accordance with the principles of Helsinki Declaration. Written informed consent was obtained from each subject. Figure 1 Flow diagram of the subjects selection process.

Methods

General Data

Demographic characteristics (age and gender), medical history, anthropometric data (height and weight), personal habits (smoking and drinking) were collected from electronic medical records. Body mass index (BMI) was calculated as the ratio of weight (kg) to height 2 (m 2 ).

Determination of Biochemical Indices

Laboratory data including fast blood glucose (FBG), glycated hemoglobin A1c (HbA1c), red blood cell (RBC), hemoglobin (HGB), platelets (PLT), albumin (ALB), 25(OH)D and serum creatinine were collected. All laboratory parameters were determined by venous blood samples following fasting for 8 to 12 hours, and measured by professional medical laboratory researchers of the First Affiliated Hospital of Guangxi Medical University. Estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. 23

Hemoglobin Levels Measurement

Hemoglobin levels was measured by colorimetric assay with an automatic analyzer (Hitachi P800). Since the sex difference in hemoglobin levels in adults, we classified men and women into three groups by their hemoglobin levels: for men, Q1: <120 g/L, Q2: 120–140g/L, Q3: ≥140g/L; for women, Q1: <110 g/L, Q2: 110–130g/L, Q3: ≥130g/L. According to World Health Organization (WHO) hemoglobin cutoffs, anemia was defined as hemoglobin <130 g/L in men and hemoglobin <120 g/L in women. 24 Patients in the Q1 groups met the criteria for anemia.

Bone Mineral Density Measurement

BMD was measured by dual energy X-ray absorptiometry (Hologic, USA). The measured areas included the lumbar spine and the hip areas. The diagnosis of osteoporosis in this study was based on the diagnostic criteria recommended by WHO. 25

Statistical Analysis

Kolmogorov–Smirnov test was used to test normal distribution of data. Continuous variables with or without normal distribution were expressed as mean ± SD or median (interquartile range), respectively. We compared the differences of the means used two-sample t -test or one-way analysis of variance (ANOVA). Comparison of the medians between groups used Mann–Whitney U -test. Categorical variables were shown as numbers and percentages. The χ 2 test was used to compare categorical variables according groups. Spearman correlation was used to perform the correlation of variables with BMD and osteoporosis. To assess odds ratios (ORs) and 95% confidence interval (CIs) for related variables according to the occurrence of osteoporosis, we used logistic regression analysis. Furthermore, we used logistic regression analysis to evaluate the association between hemoglobin levels with osteoporosis according to age and gender. All analyses were performed using SPSS 26.0. The P-values of all results were bilateral, and the significance level was set at P < 0.05.

Results

Baseline Characteristics of the Study Participants

Baseline characteristics of study participants are shown in Table 1 . Among the study population (n = 495) ranged in age from 30 to 95 years, the mean age was 60.37±11.41 years, and 299 (60.40%) patients were male. Patients were divided into two groups based on the prevalence of osteoporosis: an OP group (OP, n = 165) and a non-OP group (NOP, n = 330). In participants with osteoporosis, BMI, RBC, hemoglobin levels, femoral neck (FN) BMD, total hip (TH) BMD, lumbar spine (LS) BMD were lower, whereas age and ALB were higher than those in participants without osteoporosis (all P < 0.05). No differences were observed for diabetic duration, FBG, HbA1c, PLT, 25(OH)D and eGFR between the two groups. Q3 had higher FN BMD than Q1 and Q2. TH BMD increased significantly in line with increase in hemoglobin levels (P = 0.001) ( Table 2 ). Table 1 Characteristics of the Study Population Stratified by the Prevalence of Osteoporosis All (n=495) NOP (n=330) OP (n=165) P Age (years) 60.37±11.41 58.28±11.09 64.26±11.00 <0.001 Gender <0.001 Male 299 (60.40%) 228 (69.09%) 71 (43.03%) – Female 196 (39.60%) 102 (30.91%) 94 (56.97%) – BMI (kg/m 2 ) 24.39 (22.59, 26.63) 24.76 (22.86, 27.34) 23.68 (22.05, 25.90) <0.001 Diabetic duration (years) 6.00 (0.50, 12.00) 6.00 (0.75, 12.00) 5.00 (0.50, 13.00) 0.889 Smoking (%) 106 (21.41%) 83 (25.15%) 23 (13.94%) 0.004 Drinking (%) 195 (39.39%) 144 (43.64%) 51 (30.91%) 0.006 FBG (mmol/L) 6.84 (5.58, 8.96) 6.88 (5.58, 9.12) 6.77 (5.57, 8.68) 0.536 HbA1c (%) 8.50 (7.20, 10.60) 8.70 (7.20, 10.60) 8.30 (7.20, 10.60) 0.545 RBC (10 12 /L) 4.67 (4.29, 5.10) 4.72 (4.34, 5.14) 4.53 (4.20, 4.95) <0.001 HGB (g/L) 134.70 (124.35, 145.30) 137.25 (126.00, 147.00) 131.6 (120.00, 140.00) <0.001 PLT (10 9 /L) 243.00 (199.00, 275.05) 232.35 (198.00, 272.00) 240 (200.00, 286.90) 0.122 ALB (g/L) 39.30 (36.90, 41.90) 38.45 (37.30, 42.10) 39.00 (36.20, 41.10) 0.009 25(OH)D (nmol/L) 46.51 (39.60, 56.25) 47.60 (41.63, 56.20) 44.98 (38.01, 56.65) 0.051 eGFR (mL/min/1.73m 2 ) 94.43 (78.58, 103.36) 94.81 (78.51, 104.36) 91.44 (78.64, 101.35) 0.327 FN BMD (g/cm 2 ) 0.70 (0.61, 0.80) 0.76 (0.69, 0.83) 0.58 (0.54, 0.65) <0.001 TH BMD (g/cm 2 ) 0.84±0.14 0.90±0.11 0.72±0.11 <0.001 LS BMD (g/cm 2 ) 0.90±0.16 0.97±0.12 0.77±0.13 <0.001 Abbreviations : OP, osteoporosis; BMI, body mass index; FBG, fast blood glucose; HbA1c, glycated hemoglobin A1c; RBC, red blood cell; HGB, hemoglobin; PLT, platelets; ALB, albumin; eGFR, estimated glomerular filtration rate; FN, femoral neck; TH, total hip; LS, lumbar spine; BMD, bone mineral density. Table 2 The Prevalence of Osteoporosis and BMD Grouped by Hemoglobin Levels Hemoglobin Levels Q1(n=56) Q2 (n=194) Q3 (n=245) P OP (%) 22 (39.29%) 70 (36.08%) 73 (29.80%) 0.231 FN BMD (g/cm 2 ) 0.69 (0.58, 0.78) 0.67 (0.58, 0.78) 0.72 (0.63, 0.82) ab 0.002 TH BMD (g/cm 2 ) 0.80±0.14 0.82±0.14 a 0.86±0.13 ab 0.001 LS BMD (g/cm 2 ) 0.88±0.15 0.90±0.16 0.90±0.15 0.585 Notes : a Compared to Q1, P<0.05; b Compared to Q2, P<0.05. Abbreviations : OP, osteoporosis; FN, femoral neck; TH, total hip; LS, lumbar spine; BMD, bone mineral density.

Association of Risk Factors with BMD and Osteoporosis

Spearman correlation analysis showed that the prevalence of osteoporosis was positively associated with age and female, and negatively associated with BMI, smoking, drinking, RBC and hemoglobin levels. FN BMD, TH BMD and LD BMD were positively associated with BMI, smoking, drinking, RBC and hemoglobin levels, and inversely associated with age and female (all P < 0.05) ( Table 3 ). Logistic regression analysis showed that age, gender, BMI, smoking, drinking and hemoglobin levels were significantly associated with osteoporosis (all P < 0.05) ( Table 4 ). Table 3 Spearman Correlation Analysis on Associations of Risk Factors with BMD and Osteoporosis OP FN BMD TH BMD LS BMD Age (years) 0.247** −0.317** −0.325** −0.128** Gender 0.251** −0.389** −0.414** −0.352** BMI (kg/m 2 ) −0.211* 0.267** 0.299** 0.304** Diabetic duration (years) 0.006 −0.105* −0.054 0.030 Smoking (%) −0.106* 0.198** 0.219** 0.131** Drinking (%) −0.123** 0.269** 0.244** 0.136** FBG (mmol/L) −0.028 0.023 −0.017 0.020 HbA1c (%) −0.027 0.069 0.047 0.074 RBC (10 12 /L) −0.170** 0.219** 0.227** 0.133** HGB (g/L) −0.204** 0.309** 0.308** 0.184** PLT (10 9 /L) 0.070 −0.044 −0.027 −0.080 ALB (g/L) −0.118** 0.105* 0.072 0.033 25(OH)D (nmol/L) −0.088 0.105* 0.089* 0.129** eGFR (mL/min/1.73m 2 ) −0.044 0.130** 0.123** −0.066 Notes : *P<0.05. **P<0.01. Abbreviations : OP, osteoporosis; BMI, body mass index; FBG, fast blood glucose; HbA1c, glycated hemoglobin A1c; RBC, red blood cell; HGB, hemoglobin; PLT, platelets; ALB, albumin; eGFR, estimated glomerular filtration rate; FN, femoral neck; TH, total hip; LS, lumbar spine; BMD, bone mineral density. Table 4 Logistic Regression Analysis of Osteoporosis Risk Factors in Patients with T2DM P OR (95% CI) Age (years) <0.001 1.046 (1.028–1.065) Gender <0.001 2.959 (2.010–4.356) BMI (kg/m 2 ) <0.001 0.856 (0.805–0.910) Diabetes duration (years) 0.452 1.010 (0.985–1.035) Smoking (%) 0.005 0.482 (0.291–0.799) Drinking (%) 0.007 0.578 (0.389–0.858) FBG (mmol/L) 0.985 1.001 (0.943–1.062) HbA1c (%) 0.727 0.986 (0.911–1.067) RBC (10 12 /L) 0.004 0.678 (0.520–0.884) HGB (g/L) <0.001 0.974 (0.963–0.985) PLT (10 9 /L) 0.063 1.003 (1.000–1.006) ALB (g/L) 0.012 0.944 (0.903–0.987) 25(OH)D (nmol/L) 0.115 0.989 (0.975–1.003) eGFR (mL/min/1.73m 2 ) 0.533 0.997 (0.988–1.006) Abbreviations : OP, osteoporosis; BMI, body mass index; FBG, fast blood glucose; HbA1c, glycated hemoglobin A1c; RBC, red blood cell; HGB, hemoglobin; PLT, platelets; ALB, albumin; eGFR, estimated glomerular filtration rate.

Association Between Hemoglobin Levels and Osteoporosis

The association between hemoglobin levels and osteoporosis in T2DM patients was shown in Tables 5 and 6 . In the model 1 (adjusted for age, BMI, diabetic duration and eGFR) and model 2 (adjusted for smoking and drinking based on model 1), we observed that hemoglobin levels were inversely associated with incident osteoporosis in T2DM males (P < 0.05). The OR (95% CI) was 0.976 (0.956–0.995) for both model 1 and model 2. We performed further logistic regression analysis after classifying T2DM males by age. After adjustment for BMI, diabetic duration, eGFR, smoking and drinking, hemoglobin levels were still associated with osteoporosis in T2DM males aged 50 years and older (P = 0.030). The OR (95% CI) was 0.978 (0.958–0.998). Table 5 Logistic Regression Models for the Association Between Hemoglobin Levels and Osteoporosis Stratified by Gender and Age Model P OR (95% CI) Model 1 Male 0.015 0.976 (0.956–0.995) Female 0.712 0.996 (0.973–1.019) Model 2 Male 0.016 0.976 (0.956–0.995) Female 0.733 0.996 (0.973–1.019) Model 3 Male <50 0.574 0.978 (0.906–1.056) ≥50 0.030 0.978 (0.958–0.998) Notes : Model 1: adjusted for age, BMI, diabetic duration and eGFR; Model 2: further adjusted for smoking and drinking based on Model 1; Model 3: adjusted for BMI, diabetic duration, eGFR, smoking and drinking. Table 6 The Association Between Hemoglobin at Three Levels and Osteoporosis Stratified by Gender Model Q1 Q2 P OR (95% CI) P OR (95% CI) Model 1 Male 0.030 2.954 (1.113–7.837) 0.249 1.457 (0.768–2.766) Female 0.476 0.683 (0.239–1.951) 0.397 0.752 (0.389–1.454) Model 2 Male 0.032 2.943 (1.095–7.907) 0.221 1.494 (0.785–2.842) Female 0.444 0.661 (0.230–1.905) 0.372 0.740 (0.382–1.434) Notes : Model 1: adjusted for age, BMI, diabetic duration and eGFR; Model 2: further adjusted for smoking and drinking based on Model 1.

We identified the correlation between different hemoglobin levels and osteoporosis by logistic regression, with osteoporosis as the dependent variable and hemoglobin at three levels (Q1, Q2 and Q3) as the independent variable. Q3 was set as the reference group. Compared to Q3, Q1 had an odd of osteoporosis increased 2.9-fold in men in both model 1 and model 2 (P < 0.05). No significant difference was found between Q2 and Q3. No significant association between hemoglobin levels and osteoporosis was detected in T2DM women.

Discussion

By analyzing hemoglobin, our study revealed that there could be a significant association between hemoglobin levels and osteoporosis in patients with T2DM. First, patients with osteoporosis had lower hemoglobin levels. Second, TH BMD tended to be higher in patients with higher hemoglobin levels, indirectly supporting the relationship between hemoglobin levels and osteoporosis. Furthermore, after adjusting for confounding factors, hemoglobin levels were also identified to be significantly associated with osteoporosis by logistic regression analysis.

Anemia is common in patients with T2DM. In a study of 2889 diabetic patients, male, older age, low eGFR, poor glycemic control and longer duration of illness were found to be contributing factors for the development of anemia in diabetic patients. 26 The significant association of eGFR and diabetic duration with osteoporosis in T2DM patients was not detected in this study. However, previous studies have shown that both eGFR and diabetic duration are associated with osteoporosis and anemia in T2DM patients, 6 , 26 , 27 so these variables were also included in the logistic regression models in this study. Hemoglobin can cause fluctuation of HbA1c, so HbA1c was not included in the models to prevent bias. In our study, BMI was positively correlated with BMD in T2DM patients. Previous evidence also suggested that increasing BMI was associated with higher BMD for non-obese men (BMI <30), but not associated with BMD for obese men (BMI >30). 28 Increased BMI within a range is a protective factor for osteoporosis.

Hemoglobin levels have been reported to be associated with osteoporosis in the normal glycemic population. A retrospective study in Turkey showed that anemia was an independent predictor of low bone mass for spine in postmenopausal women. 29 A study of male adults not only revealed a positive correlation between hemoglobin levels and BMD, but also found a negative association of hemoglobin levels with both hip fracture risk and major osteoporotic fracture risk assessed by FRAX. 30 Another also suggested low and high hemoglobin values were associated with increased hip fracture risk. 31 The conclusions of the above studies are generally consistent with the results of this study. Conversely, a longitudinal study in older adults did not support the hypothesis that hemoglobin levels are associated with BMD, 21 possibly due to differences in race, age, inclusion and exclusion criteria.

Both hemoglobin levels and osteoporosis may be affected by gender and age, and we therefore investigated the association between hemoglobin levels and osteoporosis in males and females separately. A significant negative correlation between hemoglobin levels and osteoporosis was observed in males, while no such association was observed in females. A possible explanation for the absence of the association in females might be the small sample size for females. We further analyzed the relationship between hemoglobin levels and osteoporosis in T2DM males stratified by age. After adjustment for BMI, diabetic duration, eGFR, smoking and drinking, the significant correlation between hemoglobin levels and osteoporosis still existed in T2DM men aged 50 years and older, but not in T2DM men aged <50 years. Since the cut-off points for anemia in Chinese men and women were 120 g/L and 110 g/L, respectively, we divided patients into three groups according to their hemoglobin levels. We found that anemia was significantly associated with the occurrence of osteoporosis in T2DM men after adjustment for age, BMI, diabetic duration, eGFR, smoking and drinking. The results of subgroup analyses thus suggested the need to pay particular attention to T2DM males aged 50 years and older or T2DM males with anemia, in order to prevent osteoporosis. A retrospective study in Taiwan also found that anemia were related to lower BMD and a higher percentage of osteoporosis in T2DM patients. 32 But the study was only performed in men above 50 years of age and postmenopausal women. Our study included a broader age range of patients aged 30–95 years with T2DM, and performed age-stratified analyses. We think that this study is the first to evaluate the association between hemoglobin levels and osteoporosis by age-stratified analyses in T2DM men, and the first to show that the results of this relationship are different in T2DM men of different ages. There is no doubt that osteoporosis mainly affects postmenopausal women. Although osteoporosis in women has a higher frequency than the male counterpart, osteoporosis in men is not at all rare, and there are more complications and higher mortality after osteoporotic fractures in men. 33 However, there is currently a prevalence of underscreening, underdiagnosis and undertreatment of osteoporosis in men.

Although no clear mechanism of the relationship between hemoglobin levels and osteoporosis has been established, there are several possible explanations. First, on the one hand, relative hypoxia caused by decreased hemoglobin may increase the differentiation and activity of osteoclasts by increasing the expression of hypoxia-inducible factors and osteoclast-specific factors and the formation of extracellular acidic environment, resulting in increased bone resorption 29 , 30 , 34–37 On the other hand, the effects of hypoxia on osteoblasts, including inhibition of proliferation and differentiation and alteration of bone mineralization, suppress bone formation. 38 Second, we learned that the interaction between bone cells and hematopoietic cells has been observed in animal models. 39 Blood loss stimulates the proliferation of hematopoietic cells, including osteoclasts, leading to increased bone resorption. 40 Third, some have postulated that low hemoglobin levels are a reflection of poor general health, rather than a direct risk factor. 41 Low hemoglobin levels share many risk factors with osteoporosis, such as chronic inflammation, renal insufficiency, and nutrient deficiencies. 42 T2DM can not only lead to osteoporosis through its associated obesity, microvascular complications and accumulation of advanced glycation end products, but also indirectly through anemia caused by impaired erythropoietin production in peritubular fibroblasts. 6 , 9

Bone loss in T2DM patients occurs invisibly and is initially asymptomatic. Osteoporosis is usually not diagnosed until the first clinical fracture has occurred. Therefore, early assessment of osteoporosis risk in T2DM patients is important to prevent fractures. Further study on the relationship between bone metabolism and hemoglobin levels and its possible mechanisms may be of great clinical significance, as measuring hemoglobin levels would be a simple and inexpensive way to assess bone health.

The study had several limitations. First, it was a cross-sectional study, the causal relationship between hemoglobin levels and osteoporosis could not be determined, and there is a need for prospective studies. Second, although some confounding factors were adjusted in the regression model, but possible confounders (such as dietary habit, physical activity, antidiabetic drugs and diabetic complications) were not considered in this study. Third, the majority of patients with anemia excluded common causes of anemia such as thalassemia, iron deficiency anemia, folic acid and vitamin B12 deficiency, but failed to complete all tests for anemia-related causes.

Conclusion

In summary, our study suggested that lower hemoglobin levels were related to higher percentages of osteoporosis in T2DM men, especially in those aged 50 years and older. Regular monitor of serum hemoglobin and BMD may be necessary in T2DM men aged 50 years and older. Since fractures can occur at higher BMD levels in T2DM patients, further studies are warranted to directly evaluate the relationship between hemoglobin levels and osteoporotic fractures in T2DM patients.

Acknowledgments

The authors gratefully appreciated the team of the Department of Geriatric Endocrinology and Metabolism of The First Affiliated Hospital of Guangxi Medical University for their work in this study.

Disclosure

The authors report no conflicts of interest in this work.

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