Associations of muscle size and fatty infiltration with bone mineral density of the proximal femur bone

Purpose: To investigate the relationship of muscle atrophy and fat infiltration around the hip joint with areal bone mineral density (aBMD) in each subregion of the proximal femur.

Materials and methods: In total, 144 participants (66 women and 78 men) were examined by quantitative computed tomography (QCT), and areal bone mineral density (aBMD) of the femoral neck (FN), trochanter (TR), and intertrochanter (IT) of the proximal femur were obtained. The cross-sectional area (CSA) and proton density fat fraction (PDFF) of the gluteus maximus (G.MaxM), gluteus medius (G.MedM), gluteus minimus (G.MinM), and iliopsoas (IliopM) were obtained via magnetic resonance imaging (MRI) using the mDIXON-Quant sequence. A multivariate generalized linear model was used to evaluate the correlation of the CSA and PDFF of muscles with aBMD in all subregions of the proximal femur.

Results: The FN integral (Int) aBMD was significantly associated with the G.MaxM CSA (men: P = 0.002; women: P = 0.008) and PDFF (men: P < 0.001; women: P = 0.047). Some muscle indexes were related to the FN aBMD in males or females, including the CSA of G.MedM, G.MinM, and IliopM as well as the PDFF of IliopM and G.MinM. Associations of hip muscle parameters with the TR Int aBMD in both males and females were observed, including G.MaxM CSA (men: P < 0.001; women: P = 0.028) and G.MaxM PDFF (men: P = 0.031; women: P = 0.038). Other muscle indexes, including G.MedM and IliopM, were related to the TR aBMD, mainly affecting the aBMD of TR cortical (Cort) and TR Int. The IT Int aBMD and IT Cort aBMD showed significant correlation with the muscle indexes of G. MaxM, IliopM, and G.MedM, including the PDFF and CSA in males and females. Further, more indicators of the G.MedM and IliopM correlated with the TR and IT aBMD compared to the FN aBMD.

Conclusions: The CSA of gluteus muscles and iliopsoas had a positive association with the aBMD in the proximal femur, and the PDFF of gluteus muscles and iliopsoas had a negative correlation with the aBMD in the proximal femur. In addition, there was an interaction of the proximal femur aBMD with the muscle size and fatty infiltration of hip muscles.

Introduction

Osteoporosis is characterized by the absence of trabeculae and cortical bone, which can be diagnosed on the basis of low bone mineral density (BMD). Bone and muscle are closely related in embryogenesis, growth, and aging, and the interaction between bone and muscle is not only based on the mechanical loads and physical forces generated by muscle contraction but also on endocrine factors (1, 2). With the increase of age, osteoporosis is often accompanied by sarcopenia, which has been shown to be associated with low BMD (3, 4). Many studies have demonstrated that changes in bone mass are closely associated with changes in muscle mass. A positive correlation exists between bone and muscle, with a higher lean body mass associated with increased BMD and vice versa (5–7). Fatty infiltration of muscle and bone is known to contribute to sarcopenia and osteoporosis, most likely related to the negative impact of the secretion of inflammatory cytokines by both bone marrow and body fat in a process known as lipotoxicity (8, 9). Osteoporosis is the most important risk factor for fragility fractures, and osteoporotic fragility fracture of the hip is one of the most common fracture types. Reduced muscle mass and function leads to falls and a higher rate of hip fractures. Osteoporosis and reduced skeletal muscle mass are important risk factors for brittle hip fractures in the elderly (10, 11). Most previous studies have independently assessed muscle and fatty infiltration based on dual energy X-ray absorptiometer (DXA), while the direct relationship of muscle size and intramuscular adipose tissue with the proximal femur BMD has not been elucidated.

The modern Dixon technique uses water/fat separation magnetic resonance imaging (MRI) based on chemical shift, which quantifies intramuscular adipose tissue and shows good consistency with magnetic resonance spectroscopy (MRS) (12). However, MRI not only visualizes the anatomical structure but also quantifies the proton density fat fraction (PDFF) with good spatial resolution, short acquisition time, and accurate fat quantification (13, 14). Computed tomography X-ray absorptiometry (CTXA) is a QCTPro (Mindways Inc., Austin, TX) scanning analysis module, which generates two-dimensional (2D) images from three-dimensional (3D) images of the proximal femur region of interest (ROI) and evaluates the areal BMD (aBMD) of integral (Int), trabecular (Trab), and cortical (Cort) bone by region (femoral neck, FN; trochanter, TR; intertrochanter, IT) (15). In contrast to DXA, quantitative computed tomography (QCT) distinguishes cortical bone from trabecular bone. For the measurement of aBMD in the proximal femur, QCT aBMD has good consistency with DXA (16, 17).

To investigate the relationship between muscle atrophy and fatty infiltration around the hip joint and aBMD in the proximal femur, we used a six-echo chemical shift encoded water-fat MRI (mDIXON-Quant, Philips Healthcare) to assess the muscle PDFF representing the proportion of adipose tissue in muscle and the cross-sectional area (CSA) representing muscle volume around the hip joint. QCT was used to calculate the aBMD of the proximal femur. In this prospective cross-sectional study, we examined the correlation of PDFF and CSA of the gluteus maximus (G.MaxM), gluteus medius (G.MedM), gluteus minimus (G.MinM), and iliopsoas muscle (IliopM) with the QCT assessment of the aBMD of FN, TR, and IT, respectively, in middle-aged and elderly subjects.

Materials and methods

Study participants

Participants who were subjected to examination of the proximal femur aBMD were recruited from the physical examination center of our hospital. The study was approved by the Ethics Committee of The Third Hospital of Hebei Medical University. Informed consent was obtained for each participant. The inclusion criteria were as follows: 1) at least 30 years old and in good health; and 2) no MRI contraindications, such as cardiac pacemaker and claustrophobia. The exclusion criteria were as follows: 1) hip tumor; 2) a history of trauma and stunting; 3) previous hip surgery; 4) previous or current use of steroid hormones, calcitonin, estrogen, and other drugs affecting bone metabolism; and 5) diseases that limit activity and function (Figure 1).

FIGURE 1

Figure 1 Flow chart of the patient population included in the present study.

MRI examination

All hip MRI examinations were performed on the same 3.0T MR scanner (Ingenia CX, Phillips, Amsterdam, Netherlands) using a 32-channel torso coil. The MRI sequence parameters of water/fat based on chemical shift coding (mDIXON Quant, Philips Healthcare) were as follows: axial = fast field echo (FFE); repetition time (TR) = 8 ms; echo time (TE) 1 = 1.15 ms; echo spacing = shortest; field of view = 400 × 267 × 325 mm; matrix size = 376 × 299; voxel = 2.5 × 1.5 × 3.0 mm; slice thickness = 5 mm; flip angle = 3°; number of signal averaged (NSA) = 1; and acquisition time = 48 s. Six echoes were used for the quantification of PDFF. All MR images were reviewed and analyzed by a radiologist (XSZ).

All muscle measurements were performed by the same investigator (XSZ) with more than 2 years of experience who was unaware of the aBMD results. The MR images of water/fat based on chemical shift coding were transferred to the post-processing workstation (InterlliSpace™ Portal, ISP, Philips), and PDFF maps were automatically generated. Seven fat peaks were modeled and T2* corrected. The CSA and PDFF of muscles were measured at the maximum CSA level on the axial fat fraction maps. The G.MaxM at the level of the lower margin of the fourth sacral vertebra and the G.MedM at the level of the first sacral vertebra were analyzed. The G.MinM and IliopM at the level of 0.5 - 1.5 cm at the upper acetabulum margin were analyzed. Free-hand drawn ROIs were separately placed in the axial view of the right sides of the G.MaxM, G.MedM, G.MinM, and IliopM on the fat fraction maps. Each ROI was drawn along the margin of the muscle and outlined muscle contours (Figure 2). The PDFF and CSA of G.MaxM, G.MedM, G.MinM, and IliopM were obtained directly. After completing ROI delineation, the PDFF and CSA of G.MaxM, G.MedM, G.MinM, and IliopM were directly obtained from the fat fraction map. Approximately 3 min were required to draw all the ROIs of hip muscles for each subject.

FIGURE 2

Figure 2 The ROI drawn freehand was placed at the maximum CSA of the fat fraction plot on the axial map of the right gluteus maximus (G.MaxM), gluteus medius (G.MedM), gluteus minimus (G.MinM), and iliopsoas muscle (IliopM). Each ROI was plotted along the edge of the muscle to obtain the PDFF and CSA as shown in the pseudocolor and FF maps of G.MaxM (A ,D), G.MedM (B, E), G.MinM, and IliopM (C, F).

In addition, 20 subjects’ images were randomly selected from the entire data set to evaluate the intra- and inter-reader reliability by a second radiologist (JFL) with more than 2 years of experience. For evaluating the consistency and reliability of different observers, intraclass correlation coefficient (ICC) was determined as follows: ICC < 0.4, poor consistency; 0.4 < ICC < 0.75, moderate consistency; and ICC > 0.75, good consistency. For the bilateral test, a test level of α = 0.05 was used. Good intra-observer (intra-class correlation coefficients, ICC 0.889–0.978, P < 0.001) and moderate inter-observer (ICC 0.693–0.971, P < 0.001) agreements of the muscle measures were found.

QCT examination

CT scans of subjects’ hip joints were performed on a 64-row Siemens Somatom Definition CT scanner (Siemens, Erlangen, Germany) with a Mindways calibrated body model (Mindways Software Inc., Austin, Texas, USA). The acquisition parameters were as follows: 120 kV; 217 mAs; pitch of 1.2; reconstruction slice thickness of 1 mm; reconstruction field of view 50 cm; and medium reconstruction kernel (B40f). The scanning range was 1 cm above the femoral head to 3 cm below the lesser trochanter. The subjects’ knees were flat, and their feet were rotated inwards to reduce overlap between the proximal femur and the acetabulum on the 2D projected image. This study analyzed hip CT scans using the commercial QCTPro (Mindways Inc., Austin, Texas, USA) CTXA module. Three standard DXA hip ROIs were generated, namely, FN, TR, and IT, and DXA equivalent aBMD results of each ROI were obtained. The FN ROI was a narrow frame 10 or 15 mm wide to avoid the overlap between the acetabulum and FN in 2D projection images (Figure 3). In the present study, the World Health Organization (WHO) BMD criteria for osteoporosis were used as follows: osteoporosis was defined by a BMD T-score of -2.5 or less at the FN or total hip; osteopenia was defined by a BMD T-score between -1.0 and -2.5 at the FN or total hip; and normal was defined by a BMD T-score of -1 or more at the FN or total hip.

FIGURE 3

Figure 3 aBMD measurement. QCTPro CTXA was used to analyze the aBMD of the proximal femur, including the FN, TR, and IT (A, B).

Statistical analyses

Statistical analyses were performed using SPSS Statistics (IBM, version 26) with a significance level of 0.05. For data with normal distribution, the two independent samples t-test was used for comparison between men and women. For data with non-normal distribution, the two-sample Mann-Whitney U test was used to analyze the differences between men and women. The analysis was stratified by sex due to differences in underlying pathological mechanisms of changes in aBMD, muscle CSA, and PDFF between men and women. Generalized multiple linear regression was used to analyze the relationship of the aBMD (dependent variable) of the FN, TR, and IT with the PDFF and CSA of the G.MaxM, G.MedM, G.MinM, and IliopM. To improve various muscle indexes were measured and transferred using sex-specific SD, respectively. Age and BMI were used as correction factors.

Results

Study sample characteristics

In total, 144 healthy subjects were included for analysis as shown in Table 1. There were 78 males, including 33 subjects with normal BMD, 33 subjects with osteopenia, and 12 subjects with osteoporosis, and there were 66 females, including 20 subjects with normal BMD, 22 subjects with osteopenia, and 24 subjects with osteoporosis. Men had higher a CSA in the G.MaxM (4372.21 vs. 3463.33 mm²), G.MedM (2997.23 vs. 2269.58 mm²), G.MinM (1149.31 vs. 811.15 mm²), and IliopM (1697.37 vs. 1020.38 mm²) than women (P < 0.05). The PDFF of the G.MaxM (17.86 vs. 21.53%) and IliopM (8.69 vs. 11.15%) in men was lower than that in women (P < 0.05). Women also had a higher PDFF in the G.MedM (14.65 vs. 13.92%) and G.MinM (11.67 vs. 10.41%) in men, but there was no statistical difference (P > 0.05). Women had a lower aBMD at some sites, including the FN Trab (0.20 vs. 0.23 g/cm²), FN Int (0.62 vs. 0.67 g/cm²), TR Cort (0.32 vs. 0.36 g/cm²), TR Trab (0.16 vs. 0.31 g/cm²), TR Int (0.47 vs. 0.67 g/cm²), IT Cort (0.52 vs. 0.78 g/cm²), IT Trab (0.25 vs. 0.29 g/cm²), and IT Int (0.78 vs. 1.05 g/cm²) compared to men (P < 0.05), but there was no statistical difference for the FN Cort (0.42 vs. 0.45 g/cm², P > 0.05).

TABLE 1

Table 1 Clinical characteristics of the subjects^b.

FN aBMD

The adjusted beta coefficients and 95% confidence interval (CI) of the FN aBMD sites (FN Int, FN Trab, and FN Cort aBMD) with continuous muscle indexes per sex-specific standard deviation (SD) increase are shown in Table 2 and Table 3. The FN Int aBMD was significantly associated with the G.MaxM CSA (men: P = 0.002; women: P = 0.008) and PDFF (men: P < 0.001; women: P = 0.047). There were associations between the FN Cort aBMD and the CSA of G.MaxM (men: P = 0.002; women: P = 0.002) and G.MaxM PDFF (men: P < 0.049; women: P = 0.003). In men, 0.194 and -0.196 g/cm² of FN Int aBMD increased with one SD increase of G.MedM area (95% CI, 0.018, 0.370; P = 0.031) and PDFF of IliopM (95% CI, -0.348, -0.045; P = 0.011), but this significance was not observed in women. The FN Cort aBMD negatively correlated with the IliopM PDFF in men (β, -0.240; 95%CI, -0.442, 0.037; P = 0.020) and G.MinM PDFF in women (β, -0.329; 95%CI, -0.599, -0.058; P = 0.017). Associations between the FN Trab aBMD and the CSA of G.MinM (P = 0.018) and IliopM (P = 0.008) were found only in women.

TABLE 2

Table 2 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the FN and various muscle indexes^a,b,c in males.

TABLE 3

Table 3 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the FN and various muscle indexes^a,b,c in females.

TR aBMD

The results of generalized linear models for the associations between the TR aBMD and muscle indexes are presented in Table 4 and Table 5. Some muscle indexes were related to the TR Int aBMD in both men and women, including the G.MaxM CSA (men: P < 0.001; women: P = 0.028) and G.MaxM PDFF (men: P = 0.031; women: P = 0.038). In addition to the above correlation with the TR Int aBMD, associations with the G.MaxM CSA were found for the TR Cort aBMD (P = 0.002) and TR Trab aBMD (P = 0.001) in men but not in women. Moreover, the G.MedM CSA was also correlated with the TR Int aBMD (P < 0.001), TR Cort aBMD (P = 0.047), and TR Trab aBMD (P = 0.017) in men. In women, 0.404 and -0.199 g/cm² of the TR Int aBMD increased with one SD increase of IliopM CSA (95% CI, 0.204, 0.603; P < 0.001) and IliopM PDFF (95% CI, -0.382, -0.016; P = 0.033), but this significance was not found in men. Other muscle indexes were related to the TR aBMD in women, including the IliopM CSA (P = 0.004) to TR Cort aBMD, the G.MaxM PDFF (P = 0.014) to TR Cort aBMD, and the IliopM PDFF (P = 0.001) to TR Trab aBMD.

TABLE 4

Table 4 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the TR and various muscle indexes^a,b,c in males.

TABLE 5

Table 5 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the TR and various muscle indexes^a,b,c in females.

IT aBMD

Table 6 and Table 7 show the results from the multivariate generalized linear models, assessing the associations of the IT aBMD with eight muscle indexes, including the CSA and PDFF of the G. MaxM, G.MedM, G.MinM, and IliopM. The IT Int aBMD showed a significant association with the G. MaxM CSA (men: P = 0.005; women: P < 0.001), G. MaxM PDFF (only women, P = 0.041), IliopM CSA (only men, P = 0.007), IliopM PDFF (men: P = 0.001; women: P = 0.003), G.MedM CSA (only women, P < 0.001), and G.MedM PDFF (only women, P = 0.038). Associations with the IT Cort aBMD were found for the G.MaxM CSA in men (P = 0.014), G.MedM CSA in women (P = 0.022), IliopM CSA in men (P = 0.039), G.MedM PDFF in women (P = 0.010), and IliopM PDFF in women (P = 0.001). No significance was found for the IT Trab aBMD (all P > 0.05).

TABLE 6

Table 6 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the IT and various muscle indexes^a,b,c in males.

TABLE 7

Table 7 Generalized multiple linear standardized regression coefficients and 95% CIs between the aBMD of the IT and various muscle indexes^a,b,c in females.

Discussion

The innovation of this study lies in the independent analysis of the relationship of the PDFF and CSA of the muscles around the hip joint with proximal femur aBMD. The present study is the first to demonstrate that both the CSA and PDFF in the muscles around the hip joint are associated with proximal femur aBMD, suggesting that muscle size and fat infiltration in this area influence the proximal femur aBMD. We applied MR-Dixon technology to quantify muscle adipose content, which quantifies muscle adipose tissue, including intramuscular and intermuscular adipose tissue, with high resolution.

The cellular origins of fatty accumulation in muscle arise through several different pathways. One direct route is via the accumulation of lipid within myofibers themselves, which is known as intramuscular fat. Another pathway is an accumulation of adipocytes within skeletal muscle, which is known as intermuscular fat (18). Conventional T1-weighted MRI only assesses visible adipose tissue in T1-weighted images, but it is unable to assess small lipid concentrations in localized muscular regions (19). Chemical shift-based water/fat separation methods, including Dixon techniques and the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL), overcome the limitations of conventional T1-weighted imaging by allowing high spatial resolution for quantification of adipose tissue in localized regions, including intramuscular and intermuscular lipids. In addition, to obtain true proximal femur aBMD, we used QCT, which has been demonstrated to have good consistency with DXA.

Muscle CSA or muscle thickness, as a simple and practical muscle volume estimation method, has been widely used as an indirect indicator of muscle strength (20, 21). As for the selection of muscle level, the CSA around the muscle abdomen decreases to the greatest extent due to disuse, while the CSA around the muscle end does not significantly change (22, 23). Therefore, to better evaluate the changes of CSA in the muscles around the hip joint, we selected the maximum CSA of the muscle (similar to the muscle abdomen) as the evaluation level. The present study showed that the CSA of the G.MaxM was positively correlated with the aBMD of all subregions of the proximal femur and that it mainly affects the Int aBMD and Cort aBMD of the FN, TR, and IT. The present study also found that the CSA of the IliopM and G.MedM was positively associated with the Int aBMD and Cort aBMD of the TR and IT. Moreover, the cortical shell of long bones is crucial for fracture prevention because it is the main compressive and flexural resistant structure of bone (24, 25). Therefore, the present results suggested that the CSA of the G.MaxM, IliopM, and G.MedM is a protective factor against proximal femoral fractures by influencing proximal femoral aBMD, especially cortical aBMD. The increase in soft tissue thickness mainly dependent on the CSA of muscles in the proximal femur reduces the risk of fracture by reducing the force applied to the femur during lateral falls (26–28), supporting our view from another aspect.

The interaction between bone and muscle is mainly realized by mechanical stimulation and secreted bioactive factors. Mechanical tension caused by muscle initiates osteogenic activity, and both osteoblasts and osteocytes respond to mechanical stimulation. Mechanical transduction also induces cascades of biochemical signals, including the production of hormones and growth factors, which affect the coupling process of bone formation and bone resorption (29). As an indicator of muscle strength, muscle CSA partly reflects the mechanical tension between muscle and bone, suggesting that mechanical stimulation between muscle and bone may be one of the mechanisms by which the CSA of muscle affects the aBMD in the proximal femur. The G.MaxM is the main and strongest muscle of the hip joint, providing the greatest power for the movement of the hip joint and also affecting the aBMD of most regions in the proximal femur. It is possible that the CSA of the IliopM and G.MedM mainly affects the BMD of the TR and IT through mechanical stimulation of muscle attachment.

Fatty infiltration of skeletal muscle is an important manifestation of skeletal muscle aging, which reflects the decrease of skeletal muscle function and muscle strength (30, 31). Previous studies have found that BMD loss is correlated with decreased muscle mass, strength, and function, which is mainly manifested as lean muscle loss and fat infiltration (3, 13). The present results showed that the PDFFs of several muscles were negatively associated with the aBMD of subregions of the proximal femur as follows: the G.MaxM was negatively associated with the aBMD of the FN, TR, and IT; the G.MedM was negatively associated with the aBMD of the TR and IT; and the IliopM was negatively associated with the aBMD of the FN, TR, and IT. Lu (32) found that the lipid infiltration of the G.MaxM and mid-thigh muscle is associated with the aBMD of the proximal femur, which agreed with the present study. Intramuscular fat infiltration impairs the ability of the skeletal muscle to produce normal protein, resulting in decreased insulin sensitivity. Impaired normal protein synthesis leads to reduced muscle strength and muscle atrophy (18, 33). Therefore, muscle fat infiltration in the buttocks reduces the mechanical stimulation to the bone at this site, resulting in a decrease in the BMD of the proximal femur, suggesting that fatty infiltration of muscle negatively affects aBMD at the proximal femur. Moreover, increased fat content of the gluteal muscles contributes to reduced lower extremity performance, conferring increased risk of loss of mobility, falls, and skeletal fractures (34), which is consistent with a previous study showing that reducing muscle fat infiltration and improving muscle strength significantly reduces fracture risk (35, 36).

The present study showed that more indicators of the G.MedM and IliopM correlated with the aBMD of the TR and IT than the aBMD of the FN. Decreased BMD in different areas of the proximal femur may lead to different types of osteoporotic fractures, such as FN fractures or intertrochanteric fractures. It has been reported that the BMD of the TR and IT in the IT fracture group is lower than that in the FN fracture group (37, 38). Wang et al. (36) found that intertrochanteric aBMD is a better predictor of hip fracture than the FN and total hip aBMD, indicating that intertrochanteric aBMD has a better correlation with hip fractures. Thus, increased CSA and decreased PDFF in the G.MedM and IliopM may be protective factors for intertrochanteric fractures. Physical activity and regular exercise reduce muscle fat content, increase muscle CSA, and enhance bone strength, which reduces the risk of hip fractures (18, 39).

The present study found that the PDFF in the hip muscle was negatively correlated with the aBMD in the proximal femur and that the CSA was positively correlated with the aBMD. Skeletal muscle fat infiltration and muscle atrophy coexist with age, which may be due to the different forms of dysfunction in skeletal muscle fibers and the distribution of muscle fiber types in different functional muscle tissues (40, 41). The accumulation of intramuscular lipid with aging is not homogenous across different fiber types. Type I fibers are oxidative slow-twitch fibers that contain high intramuscular lipid content and many mitochondria. In contrast, type II fibers are glycolytic fast-twitch fibers that have low intramuscular lipid content and low aerobic capacity. Type I fibers tend to accumulate more intramuscular lipids with age in human subjects than fast-twitch oxidative fibers (42). The number and degree of atrophy of type II muscle fibers in skeletal muscle of patients with osteoporosis are greater than that of type I muscle fibers, and a significant correlation between the degree of type II myofiber atrophy and proximal femoral BMD has been reported in previous studies (43). The downregulation of IGF-1/PI3K/Akt activity that occurs in osteoporosis may lead to muscle atrophy. Moreover, because IGF-1/PI3K/Akt activity controls glucose uptake in skeletal muscle, the downregulation of this activity may affect mainly glycolytic fibers (type II) due to their capacity of utilizing glucose to produce energy (43, 44). With age, muscles rich in type II fiber atrophy more and accumulate less lipids than muscles rich in type I fiber.

There were several limitations to this study. First, because this study was a cross-sectional study, we were unable to explore the longitudinal relationship between muscle and the proximal femur aBMD. Second, the study population consisted of middle-aged and elderly non-hip disease individuals from one center, which may limit the generalization of the results to other ethnic groups and other age groups. Third, due to the small number of participants in this study, the differences between male and female indicators were not further discussed. Studies with larger samples are needed to further compare the differences between men and women as well as to obtain additional evidence for the relationship between the muscles around the hip joint and the BMD of the proximal femur. Finally, the lack of data on physical activity and muscle strength may reduce the interpretation of the findings.

In conclusion, the CSA of the gluteus muscle and iliopsoas muscle has a positive association with the proximal femur aBMD, and the PDFF of the gluteus muscle and iliopsoas muscle has a negative correlation with the proximal femur aBMD. A better understanding of the relationship of the PDFF and CSA of the muscle with the proximal femur BMD will help provide a better understanding of the prevention of osteoporosis and related complications. Therefore, the CSA and PDFF of the gluteus muscle and iliopsoas muscle may be important factors and clinically significant targets for the treatment of osteoporosis.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by Ethics Committee of the Third Hospital of Hebei Medical University. The patients/participants provided their written informed consent to participate in this study.

Author contributions

JL and YiW participated in manuscript drafting, study design, and statistical analyses. XZ and JL participated in MRI data acquisition. YS and PZ participated in writing (review and editing). LB and YaW participated in QCT measurements. MW and JZ participated in study design and manuscript revisions. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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