What nutritional factors influence bone mineral density in Crohn's disease patients?

Article information

Intest Res. 2018;16(3):436-444
Publication date (electronic) : 2018 July 27
doi : https://doi.org/10.5217/ir.2018.16.3.436
1Department of Sciences of Nutrition, School of Nutrition, Universidade Federal da Bahia, Salvador, Brazil.
2Gastroenterology Unit, University Hospital Professor Edgard Santos, Universidade Federal da Bahia, Salvador, Brazil.
3Department of Life Sciences, Universidade do Estado da Bahia, Salvador, Brazil.
Correspondence to Raquel Rocha, Department of Sciences of Nutrition, School of Nutrition, Universidade Federal da Bahia, Avenida Araújo Pinho, 32, Canela, Salvador 40110-150, Brazil. Tel: +55-71-3283-7721, Fax: +55-71-3283-7721, raquelrocha2@yahoo.com.br
Received 2017 September 22; Revised 2018 January 06; Accepted 2018 January 10.

Abstract

Background/Aims

Bone mineral density (BMD) is often low in patients with Crohn's disease (CD). This study aimed to evaluate the association between nutritional factors and BMD in a group of CD patients.

Methods

CD patients 18 years of age or older were included. The body mass index (BMI), waist circumference (WC) and dietary intake were evaluated during two 24-hour recalls. Bone densitometry was performed by dual-energy X-ray absorptiometry of the full body to assess body composition and of the lumbar vertebrae and femoral neck to assess BMD.

Results

In the 60 patients evaluated, there was no association between BMD and disease activity or between BMD and disease duration. We observed moderate correlations between BMD in at least one of the evaluated sites and BMI, lean mass, WC, and protein, calcium, phosphorus and magnesium dietary intakes (P<0.05). In the linear regression analysis for spinal BMD, only BMI and calcium dietary intake remained associated (P<0.05). In the linear regression analysis for femoral BMD, WC and phosphorus intake continued to be significant in the final model, although they had low explanatory power for BMD (P<0.05).

Conclusions

The prevalence of low BMD was high in CD patients. BMI, WC, calcium and phosphorus dietary intake were positively correlated with BMD.

INTRODUCTION

Bone mineral density (BMD) is often low in patients with CD. It is believed that the etiology of decreased BMD in CD patients is multifactorial and that patient age, steroid use, low physical activity, and the chronic inflammatory state may be some of the factors that have deleterious effects on bone mass.1

Nutritional characteristics such as weight and BMI, body composition and dietary intake are some of the modifiable factors involved in the etiology of bone disease in healthy people.23 In CD patients, BMD is also associated with BMI and lean mass.45

Malnutrition is reported in 20% to 85% of CD patients, and despite recent research showing an increase in the frequency of overweight in this population, nutritional deficiencies occur even in individuals with adequate or elevated BMIs; decreased dietary intake of the nutrients associated with BMD has been observed.6789

Several nutrients play important roles in bone health. In addition to calcium and vitamin D, protein, fat, vitamins C and K and minerals such as phosphorus, potassium and magnesium are involved in bone health.10111213 These nutrients have been linked, positively or negatively, with bone health indicators in healthy populations and in IBD patients, although the association between these characteristics and BMD is controversial in CD patients.1415 The aim of this study was to evaluate the association between BMD and anthropometry, body composition and nutrient intake in CD patients.

METHODS

This study was a cross-sectional study with a convenience sample formed by patients 18 years of age or older with clinical, radiologic, endoscopic and histological diagnoses of CD. The patients were selected from 2 referral centers from a capital in northeastern Brazil from July 2012 to January 2013.

The following patients were excluded: those with a history of cancer or other diseases that could induce changes in bone metabolism (chronic renal failure, chronic obstructive pulmonary disease, thyroid disease, liver disease and lupus erythematosus); pregnant, menopausal or post-menopausal women or those using estrogen therapy; and patients with limitations impacting anthropometry.

The Harvey-Bradshaw index16 was used to determine disease activity. The age at diagnosis, location and disease behavior were described using the Montreal classification.17 Data regarding the duration and extent of disease were collected from medical records.

The complete evaluation of each participant was completed within 15 days.

1. Anthropometric Assessment and Body Composition

The weight (in kilograms) was measured in duplicate using a scale (Filizola, São Paulo, Brazil) with a capacity of 150 kg and an interval of 100 g. The height (in centimeters) was evaluated with a stadiometer coupled with a 0.5 cm enlarged scale.18 The BMI was calculated using these data and rated according to the guidelines of the World Health Organization (WHO).19 The waist circumference (WC) was obtained by measuring the circumference at the midpoint between the last rib and the iliac crest using an inelastic tape measure (TBW, São Paulo, Brazil) while the individual was standing. The WC was considered an indication of central obesity when the WC was ≥80 cm for women and ≥90 cm for men.19

Total body bone densitometry was performed to assess body composition as measured by dual-energy X-ray absorptiometry (DEXA) using a Hologic QDR1000 densitometer (GE Medical Systems, USA). Only one physician analyzed the data of all the patients. The values obtained were the percentage of body fat and lean body mass and total fat in grams. The percentage of body fat was considered high when it was above 25% for men or above 30% for women.19

2. Assessment of Food Intake

A 24-hour diet recall (R-24 h) survey was used to assess the food intake. Each participant completed two R-24 h surveys. A photo album of food was used to assist in the characterization of portions. DietWin Personal version 1.0 (DietWin, Porto Alegre, Brazil) was used to calculate the participants' individual average intake of energy, protein, total fat, calcium, phosphorus, magnesium, potassium, vitamin D, vitamin K and vitamin C. The limits proposed by the Dietary Reference Intakes: Estimated Average Requirements (EAR) suggested by the Institute of Medicine were used as references to ensure adequate dietary intake.202122 Among the 60 patients included, 10 responded to only one of the R-24 h surveys and were therefore excluded from this analysis.

3. Blood Tests

The CRP level and ESR were measured after fasting for 4 hours as indicators of inflammatory activity. Also, serum calcium and ionic calcium levels were evaluated. All samples were collected and analyzed by the same laboratory. The method used to measure CRP was immunoturbidimetry, and ESR was measured using the Westergren method.

4. Bone Densitometry

The bone densitometry was performed using the same DEXA machine and the same physician for all patients. BMD was assessed by bone densitometry at the lumbar spine (lumbar vertebrae L1-L4) and femoral neck. The patients were classified according to the SD (T-Score) as recommended by the WHO23 with normal being within 1 SD, osteopenia being between −1 SD and −2.5 SD and osteoporosis being less than or equal to −2.5 SD. The scores were considered normal BMD (T-score within 1 SD) or low BMD (T-score < −1.0 SD) for data analysis.

5. Statistical Analysis

Verification of the normal distribution of the variables was performed using the Kolmogorov-Smirnov test. Descriptive analyses of the sample proportions were used for categorical variables, and the mean (mean±SD) was used for continuous variables. Categorical variables were analyzed using the chi-square test or Fisher exact test, and continuous variables were analyzed using Student t-test or the Mann-Whitney test. Pearson's or Spearman's correlations were used to evaluate the degree of association between continuous measures. Multiple linear regressions were performed. The SPSS version 21.0 (IBM Corp., Armonk, NY, USA) was used for the tabulation of data and data analysis. Differences were considered statistically significant when the probability of type 1 error was <0.05.

6. Ethical Aspects

This paper was submitted to the ethics committee for research at the Professor Edgar Santos University Hospital Complex as opinion No. 117/2011. All participants gave consent after being informed about the procedures. The test results were delivered to the patients. Nutritional counseling was provided. Patients were referred to a rheumatology specialist for medical care in cases of osteopenia and osteoporosis.

RESULTS

We evaluated 60 CD patients, equally distributed between gender, with a mean age of approximately 37 years (SD, 8.2). Most of the patients were in remission (75.0%). The median HBI was 3 (interquartile range, 1–4) and showed simultaneous involvement of the ileum and colon segments (53.3%). Seventy percent of the patients did not have complications such as a fistula, a fissure or an abscess at the time of the assessment, however 51.7% of the patients presented more aggressive forms of the disease; penetrating or structuring disease were identified in 21.7% and 30.0% of the patients, respectively. A low BMD was also observed in a high proportion of the patients (53.3%), however there was no association between low BMD and either disease activity or disease duration (Table 1).

Demographic and Clinical Characteristics of CD Patients (n=60)

Eight patients (13.3%) had received steroid therapy in the past year. The mean cumulative dose was 1,890 mg (SD, 1,017), ranging from 330 to 3,285 mg, and the average duration was 4.5 months (SD, 3.2), ranging from 2 to 12 months. Surgery was reported by 35.8% of the CD patients. Partial colectomy had been performed in 63.2% of the patients, small intestine and colonic resection had been performed in 26.3%, and only small intestine resection in 10.5%. No patients presented with short bowel syndrome.

1. Anthropometric Indicators and Body Composition

Most of the patients (55.0%) were eutrophic. However, overweight was observed in a high proportion of the study population (30.0%), and malnutrition was observed in 15.0% of the patients. Increased WC was observed in 26.7% of the patients. In addition, the percentage of mean body fat was found to be 28.9% (SD, 12.4), and 51.7% of the individuals presented with values above the recommended values (data not shown).

2. Food Intake

For vitamins D and K and the minerals calcium, potassium and magnesium, we observed intake values below the EAR in more than 75.0% of the studied patients, reaching 100% for vitamin D. For protein, 10.2% of the patients had intake levels below the EAR (data not shown).

Table 2 shows the mean energy and nutrition intake. Most of the patients reported a caloric intake below 30 kcal/kg.

Energy and Nutrient Intake in CD Patients

Reported nutritional supplements in the dietary recall were quantified in the consumer analysis. Only 4 patients (6.6%) reported taking a calcium supplement, vitamin D or a multivitamin. The mean BMD among the patients using a nutrient supplement was not significantly different from that of the patients not using a supplement.

Most patients had changed their intake of milk and dairy products, with 13.3% reporting a reduced intake, 21.7% reporting having excluded the products and 16.7% reporting having replaced the products. Only 1 patient avoided milk due to lactose intolerance.

3. BMD and Clinical Characteristics

Comparing the patients with normal BMD to the patients with low BMD, there were no statistically significant differences in age, physical activity, CRP, ESR, serum calcium, ionic calcium or clinical variables, such as duration, stage, location and behavior of the disease and prior surgical resection (Table 3).

Clinical Characteristics of CD Patients According to the Classification of Bone Mineral Density

No patient had serum calcium or ionic calcium levels outside the reference values.

4. BMD versus Nutritional Characteristics

BMI, WC, total lean mass, and phosphorus intake showed moderate positive correlations with BMD in the spine and the femur (P<0.05), whereas for protein, calcium and potassium intake, the correlation was valid only for spinal BMD (Table 4). The increase in the values of these variables was accompanied by an increase in BMD values (Figs 1,2,3).

Correlation between Anthropometric Measurements, Body Composition, Food Intake and BMD in CD Patients

Fig. 1

Correlation between bone mineral density of the lumbar spine and anthropometric indicators. (A) Bone mineral density of the lumbar spine (g/cm2) versus BMI (kg/m2). (B) Bone mineral density of the lumbar spine (g/cm2) versus the total lean body mass (g).

Fig. 2

Correlation between bone mineral density of the lumbar spine and the intake of secondary nutrients. (A) Bone mineral density of the lumbar spine (g/cm2) versus protein intake (pTNM, g). (B) Bone mineral density of the lumbar spine (g/cm2) versus calcium intake (CaM, mg). (C) Bone mineral density of the lumbar spine (g/cm2) versus phosphorus intake (PhosphorusM, mg). (D) Bone mineral density of lumbar spine (g/cm2) versus potassium intake (PotassiumM, mg).

Fig. 3

Correlation between bone mineral density of the femoral neck and anthropometric indicators. (A) Bone mineral density of the femoral neck (g/cm2) versus BMI (kg/m2). (B) Bone mineral density of the femoral neck (g/cm2) versus WC (cm). WC, waist circumference.

For vitamin C, the correlation was weak despite the statistically significant value (Table 4).

Linear regression analyses were performed for the BMD of the spine and the femur. The dependent variables included the number of models of nutritional characteristics (BMI, lean mass and food intake) that best correlated with BMD and total energy intake; phased out models were utilized for those variables that were not statistically significant. The final model (Table 5) shows that among the characteristics evaluated, BMI, WC, calcium and phosphorus showed some predictive value for BMD. These modifiable factors explain 24% of the variability in BMD.

Final Model Multivariate Linear Regression Analysis

DISCUSSION

Osteoporosis and osteopenia are common BMD changes in CD patients. There was a positive correlation between BMI, WC, lean mass, calcium intake and BMD.

In our findings, 11.7% of the participants had osteoporosis, and 41.7% had osteopenia, which is consistent with the results described previously, with frequencies varying from 4.3% to 17.0% and from 19.0% to 50.0% for osteoporosis and osteopenia, respectively.124 It is interesting to note that the variability of the results in several studies may be due to differences between the included subjects; the sample in this study consists of outpatients, the majority of whom were in remission.

The pathogenesis of bone disorders in IBD is considered multifactorial; however, the etiologic factors remain under discussion, especially regarding the importance of nutritional status and food intake for this complication of CD.2526 In a previous study from our group, low BMD was associated with penetrating and perianal disease, age at diagnosis >40 years and male gender in CD patients.27

In this study, differences in serum markers of inflammation (CRP and ESR) between patients with normal or low BMD were not observed, which may have been influenced by the fact that most patients were in remission.

Low BMI is already known to be an important predictor of bone disease in IBD patients.282930 However, evidence of the association between WC and BMD in IBD patients is scarce, and therefore more research is required. In individuals with metabolic syndromes, the results are inconsistent.10

There have been few studies that have evaluated the isolated effect of lean and fat mass in IBD patients. In the studies by Lee et al.4 and Leslie et al.,5 it was observed that lean mass was an independent predictive factor for low BMD and that the correlation between lean mass and low BMD was stronger than between fat mass and BMD.

Few studies have evaluated the association between nutrient intake and BMD in IBD patients. No correlation was found in CD patients between protein intake and BMD,14 and there were no differences in the protein intake in patients with and without osteoporosis.25

Although the average intake values of vitamins D and K were below the recommended values in our study population, none of these vitamins correlated with low BMD. However, Reed et al.14 observed lower intake levels of vitamins D and K in CD patients with low BMD.

Among the minerals investigated, the potassium intake was moderately correlated with the BMD of the lumbar spine, which corroborates the findings of studies in healthy populations.313233 A positive correlation between phosphorus and BMD was found; however, Reed et al.14 found no relationship between the intake of nutrients and low BMD in CD patients, despite a similar mean intake (1,088 mg/day) in both studies. In addition, Reed et al.14 found an average intake of magnesium (228 mg/day) similar to the level observed in our study, but with only a weak correlation.

Abitbol et al.15 evaluated the effects of supplemental therapy with calcium and vitamin D (1 g and 800 IU, respectively) in IBD patients and found an increase in BMD. However, the calcium intake was not associated with BMD in other studies of CD patients.142425 In these studies, however, the average intake of the nutrient was not supplied or was above the average found in our study (493.1 mg/day).

Despite the low predictive capacity of nutritional variables for the BMD of these CD patients, when we evaluated the difference between the mean intake of nutrients such as calcium and the intake recommendations, which was associated with low BMD in the linear regression analysis, we estimate that the importance of these nutrients for BMD is greater than presented here.

Our article has some limitations, such as the absence of a control group, serum ALP, intact parathyroid hormone and vitamin D. We believe that the long-term effects of restrictive diets and inadequate nutritional status, especially among those with associated risk factors such as older age, longer disease duration, the presence of inflammatory activity and complications may be more harmful than we determined in our study. A longitudinal study may be needed to better determine the association between these nutritional factors and decreased BMD.

In conclusion, low BMD is common in CD patients, even those in remission. BMD was positively correlated with BMI and WC as well as with calcium and phosphorus intake. Although only a minimal influence on low BMD was found in this study, it suggests that the persistence of a compromised nutritional status and dietary intake over a long period may be an associated factor for osteoporosis and osteopenia in these patients.

ACKNOWLEDGEMENTS

At Dr. Jairo Brandão for their support in carrying out the examinations and at students Clarissa Factum and Luize Sales for the support in data collection.

Notes

FINANCIAL SUPPORT: Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, grant numbers 025/2010).

CONFLICT OF INTEREST: No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTION: Conceptualization: FGC, RR, GOS. Methodology: FGC, RR, GOS. Formal analysis: FGC, RR, GOS. Funding acquisition: FGC, RR, GOS. Project Administration: RR, GOS. Visualization: all authors. Writing-original draft: FGC, RR. Writing-review and editing: all authors. Approval of final manuscript: all authors

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Article information Continued

Funded by : Fundação de Amparo à Pesquisa do Estado da Bahiahttp://dx.doi.org/10.13039/501100006181
Award ID : 025/2010

Fig. 1

Correlation between bone mineral density of the lumbar spine and anthropometric indicators. (A) Bone mineral density of the lumbar spine (g/cm2) versus BMI (kg/m2). (B) Bone mineral density of the lumbar spine (g/cm2) versus the total lean body mass (g).

Fig. 2

Correlation between bone mineral density of the lumbar spine and the intake of secondary nutrients. (A) Bone mineral density of the lumbar spine (g/cm2) versus protein intake (pTNM, g). (B) Bone mineral density of the lumbar spine (g/cm2) versus calcium intake (CaM, mg). (C) Bone mineral density of the lumbar spine (g/cm2) versus phosphorus intake (PhosphorusM, mg). (D) Bone mineral density of lumbar spine (g/cm2) versus potassium intake (PotassiumM, mg).

Fig. 3

Correlation between bone mineral density of the femoral neck and anthropometric indicators. (A) Bone mineral density of the femoral neck (g/cm2) versus BMI (kg/m2). (B) Bone mineral density of the femoral neck (g/cm2) versus WC (cm). WC, waist circumference.

Table 1

Demographic and Clinical Characteristics of CD Patients (n=60)

Characteristics Value
Age (yr) 37.4±8.2
Sex
 Male 30 (50.0)
 Female 30 (50.0)
Age at diagnosis (yr)
 <17 04 (6.7)
 17–40 47 (78.3)
 >40 9 (15.0)
Disease duration (yr) 6.8±5.3
Bone mineral density
 Normal 28 (46.6)
 Osteopenia 25 (41.7)
 Osteoporosis 7 (11.7)
Disease activity
 Remission 45 (75.0)
 Mild/moderate activity 12 (20.0)
 Severy activity 3 (5.0)
Location of disease
 Terminal ileum 9 (15.0)
 Colon 19 (31.7)
 Ileocolon 32 (53.3)
Behavior of CD
 Nonstricturing, nonpenetrating 29 (48.3)
 Stricturing 13 (21.7)
 Penetrating 18 (30.0)
Perianal involvement
 No 40 (66.7)
 Yes 20 (33.3)
Complications
 Fissure 6 (10.0)
 Fistula 12 (20.0)

Values are presented as mean±SD or number (%).

Table 2

Energy and Nutrient Intake in CD Patients

Energy and nutrients Mean±SD Median Minimum Maximum
Energy (kcal) 1,694.6±582.7 1,631.1 543.8 2,992.9
Energy/weight (kcal/kg) 27.1±9.7 26.9 8.3 45.1
Protein (g) 72.3±28.7 70.7 20.7 152.5
Lipid (g) 7.6±18.8 45.3 9.8 92.5
Calcium (mg) 493.1±224.7 529.6 78.6 925.4
Phosphor (mg) 1,012.7±369.1 1,033.1 292.2 1,744.4
Potassium (mg) 2,363.0±108.4 2,180.4 706.5 5,313.2
Magnesium (mg) 246.0±108.4 229.9 71.6 549.4
Vitamin D (mcg) 4.3±9.7 1.4 0.0 59.6
Vitamin K (mcg) 27.5±58.1 5.9 0.3 327.4
Vitamin C (mcg) 293.5±597.0 81.1 6.5 3,248.6

Table 3

Clinical Characteristics of CD Patients According to the Classification of Bone Mineral Density

Characteristics Normal BMD Low BMD P-value
Age (yr) 35.8±7.1 38.6±9.0 0.18
Disease duration (yr) 6.5±4.3 7.1±7.0 0.72
Disease activity 0.78
 Remission 21 (47.7) 23 (52.3)
 Activity 7 (43.8) 9 (56.2)
CPR (mg/L) 4.8±7.7 9.5±21.4 0.26
ESR (mm/hr) 18.0±20.4 20.8±23.5 0.62
Serum calcium (mg/dL) 2.3±0.2 2.3±0.1 0.42
Ionic calcium (mg/dL) 1.3±0.1 1.3±0.1 0.82
Age at diagnosis (yr) 0.15
 >40 2 (22.2) 7 (77.8)
 ≤40 26 (51.0) 25 (49.0)
Ileum involvement 0.94
 No 9 (47.4) 10 (52.6)
 Yes 20 (47.6) 22 (53.7)
Physical exercise 0.37
 No 20 (43.5) 26 (56.5)
 Yes 8 (57.1) 6 (42.9)

Values are presented as mean±SD or number (%).

BMD, bone mineral density.

Table 4

Correlation between Anthropometric Measurements, Body Composition, Food Intake and BMD in CD Patients

Characteristics Lumbar spine BMD Femur BMD
r P-value r P-value
BMI (kg/m2) 0.36 0.004a 0.45 0.000a
Waist circumference (cm) 0.29 0.040a 0.33 0.020a
Lean body mass (g) 0.39 0.002a 0.38 0.002a
% Body fat 0.12 0.340 0.10 0.420
Protein (g) 0.30 0.030a 0.20 0.170
Lipid (g) 0.17 0.220 −0.02 0.800
Calcium (mg) 0.34 0.018a 0.14 0.320
Phosphor (mg) 0.42 0.002a 0.32 0.020a
Potassium (mg) 0.30 0.030a 0.26 0.060
Magnesium (mg) 0.25 0.070 0.23 0.110
Vitamin D (mcg) 0.06 0.630 −0.09 0.530
Vitamin K (mcg) 0.11 0.450 0.03 0.830
Vitamin C (mcg) 0.28 0.040a 0.18 0.210

aP<0.05.

BMD, bone mineral density.

Table 5

Final Model Multivariate Linear Regression Analysis

Final model Lumbar spine BMD Femur BMD
β P-value Adjusted R2 β P-value Adjusted R2
BMI (kg/m2) 0.0130 0.0020 0.24
Calcium (mg) 0.0003 0.0006
WC (cm) 0.0040 0.01 0.24
Phosphor (mg) 0.0002 0.01

BMD, bone mineral density; WC, waist circumference.