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. 2022 Jan 27;33(6):1347–1355. doi: 10.1007/s00198-022-06312-2

Eating disorders are associated with increased risk of fall injury and fracture in Swedish men and women

K F Axelsson 1,2, M N Woessner 3, H Litsne 1, M Wheeler 4, A Flehr 4, A J King 4, M Kalén 5, L Vandenput 1,4, M Lorentzon 1,4,6,
PMCID: PMC9106600  PMID: 35088102

Abstract

Summary

In this retrospective cohort study, men and women with eating disorders (n = 8867) had higher risk of injurious falls and hip fractures than age, sex, and county-matched controls (n = 88670).

Introduction

Eating disorders have been associated with decreased bone mineral density and increased fracture risk, but the association with fall injuries without fracture has not previously been investigated. Furthermore, fracture risk in men with eating disorders has been insufficiently studied.

Methods

In the present study, 8867 patients (9.4% men) with a diagnosed eating disorders and 88670 age-, sex-, and county-matched controls were investigated.

Results

The mean (standard deviation) age of the patients and controls was 41.6 (13.7) years and the follow-up time 9.6 (5.2, 14.4) years (median, interquartile range) for patients and 10.1 (5.5, 14.2) years for controls. The proportions of injurious falls without fracture (17.3% vs. 9.0%) and of hip fracture (1.6% vs. 0.7%) were substantially greater in patients with an eating disorder than in their corresponding population controls. In an unadjusted Cox proportional hazards model, individuals with an eating disorder had a higher risk of injurious falls without fracture (Hazard ratio (HR) 95% confidence interval (CI): 2.07 (1.96–2.18), and hip fracture (HR 2.30 (1.92–2.75)) than the risk observed in the controls. The HR for any investigated outcome associated with an eating disorder did not differ by sex or age (interaction term p > 0.10). The risk of injurious falls without fracture and hip fracture was increased in both women (HR 2.07 (1.95–2.19) and HR 2.41 (1.98–2.93), respectively) and men (HR 2.09 (1.76–2.49) and HR 1.84(1.12–3.02), respectively), with an eating disorder.

Conclusion

The risk of injurious falls without fracture and of hip fracture is increased in both women and men with eating disorders, indicating measures to prevent both falls and fractures are important in these patients, regardless of age and sex.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00198-022-06312-2.

Keywords: Eating disorders, Falls, Fracture

Introduction

Eating disorders are psychiatric disorders, including anorexia nervosa, bulimia nervosa, and binge eating disorder, which are defined by abnormal eating habits that negatively impact a person’s mental and physical health [1]. Anorexia nervosa is a serious mental disorder characterized by a disturbed body image and/or fear of weight gain, which often leads to behaviors aiming to reduce body weight such as dietary restrictions and excessive physical activity [2]. In bulimia nervosa, body weight is usually normal or elevated, and binge eating episodes with compensatory behavior to avoid weight gain are typical [3]. The prevalence of eating disorders is higher in females than in males, and in Western countries, the prevalence of anorexia nervosa and bulimia nervosa in females ranges from 0.1 to 5.7% and 0.3 to 7.3%, respectively [4].

Abnormally low body weight as a result of malnutrition or an eating disorder negatively impacts multiple organ systems, including the cardiovascular and central nervous system, as well as the bone [5, 6]. Anorexia nervosa is associated with lower bone mineral density (BMD) of both the spine and hip, increased cortical porosity, deteriorated trabecular bone microstructure, and reduced bone strength [7, 8]. Patients with bulimia nervosa have less severely affected bone and present with lower spine BMD but normal hip BMD [7]. Since anorexia nervosa often affects young individuals, peak bone mass accrual can be impaired, with deleterious and mostly irreversible reductions in bone mass [9]. In anorexia nervosa, the negative impact on bone metabolism is mainly attributed to impaired gonadal function with low levels of estradiol and testosterone, but is also due to relative hypercortisolemia, resistance to growth hormone as well as other affected hormonal systems. Furthermore, severe malnutrition in anorexia nervosa deprives the skeleton of calcium, protein, and vitamin D, all of which are vital for bone metabolism and skeletal health [6].

An increased risk of fracture has been observed in patients with anorexia nervosa but the results are conflicting regarding bulimia nervosa [5, 10, 11]. It has also been hypothesized that due to low caloric intake, patients with anorexia nervosa may be at increased risk of falls, due to increased orthostatic vital sign changes or to syncopal episodes [9]. Furthermore, women with anorexia nervosa but not with bulimia nervosa had lower muscle strength than age-matched controls, indicating impaired physical function, which could increase the risk of falls, in anorexia nervosa. Falls resulting in injuries other than fractures are also clinically relevant, since they are associated with a large health care burden, disability, financial cost, and patient suffering [12, 13]. The impact of anorexia nervosa or bulimia nervosa on falls risk or risk of injurious falls without fracture has not previously been investigated. Due to the lower prevalence of eating disorder and fractures in men than in women, very limited data regarding the risk of fractures, especially hip fractures, is available in men with an eating disorder [11].

The main aim of this large, national, retrospective cohort study was to investigate the risk of injurious falls and fractures in 8,867 non-obese men and women diagnosed with an eating disorder from 1998 to 2017, and 88,670 age- and sex-matched controls in Sweden. An additional aim was to determine if these associations were independent of sex and age.

Materials and methods

This was a retrospective cohort study utilizing national medical registers in Sweden to identify non-obese patients who were diagnosed with an eating disorder between 1998 and 2017.

Study design

All non-obese (ICD-10 E66) patients with an eating disorder (ICD-10 F50) diagnosed at hospitals in Sweden between January 1, 1998, and December 31, 2017, were included in the present analysis. While further specification of eating disorder diagnoses was not available on an individual level, summary level data provided by the National Board of Health and Welfare (Socialstyrelsen) revealed that during the investigated time period, the F50 diagnosis was further composed of unspecified eating disorder (F50.9; 53%), bulimia nervosa (F50.2; 19%), anorexia nervosa (F50.0; 17%), and other eating disorder categories (F50.1, F50.3, F50.4, F50.5, and F50.8; in total 11%), classified according to ICD-10 [14]. Each eating disorder case was assigned ten population controls matched on birth year, sex, and county. Controls were assigned the same start date as their corresponding case and only controls without a previous eating disorder diagnosis were selected. The risk of injurious falls and fractures was investigated. The follow-up time was censored for end of study (December 31, 2017), emigration, and death. In order to perform Cox analyses with extensive adjustment for confounders, including the Charlson comorbidity index and medication data, a subset of the patient cohort was used. Since the Swedish Prescribed Drug Register started in 2005, to achieve a minimum of 1 year medication history and a 5-year history of medical diagnoses, only the 4,820 patients with a first eating disorder diagnosis between July 1, 2006, and December 31, 2017, and 48,200 age-, sex-, and county-matched controls were included.

Data sources

Several Swedish national medical and population registers were combined in order to study clinical characteristics and outcomes in patients with an eating disorder and in the population controls. The Swedish Patient Register was used to retrieve diagnoses for eating disorder, comorbidities, fractures, and fall injuries without fractures (both inpatient and outpatient visits). Data on prescribed medications was retrieved from the Swedish Prescribed Drug Register, and data regarding socioeconomic factors and death from Statistics Sweden. All inhabitants in Sweden are assigned a unique personal identification at birth or at the time of immigration, enabling linkage between the different registers. The study was approved by the Swedish Ethical Review Authority.

Definition of outcomes

All data on reported outcomes and comorbidities were collected from hospital visits and admissions using ICD-10 codes and are listed in Appendix Table 1. Medical history prior to each included individual’s start of follow-up was based on a 5-year history. Fall injury was defined as any event with an injury (S00-T14) and a fall code (W00-W19) but without a fracture code [15]. For the fracture outcomes, all non-pathological fracture diagnoses regardless of type of trauma were included. Fracture data was refined in multiple steps. First, fracture diagnoses with a simultaneous code indicating a revisit (Z09, Z47, Z48) and hip fracture diagnoses without a simultaneous code for surgical procedure were discarded. Second, a washout period of 5 months was used, so that if a fracture diagnosis referring to the same skeletal site was repeated within a period of 5 months, the latter diagnosis was discarded to avoid including codes from revisits. Incident hip fracture included fractures of the femoral head, neck, trochanter, or subtrochanteric part of the femur accompanied with a code for surgical procedure (NFB, NFC, or NFJ). Incident major osteoporotic fracture (MOF) was defined as a fracture of the hip, vertebrae, proximal humerus, wrist, or pelvis.

Statistical analyses

A large selection of covariates (listed in Table 1) representing prevalent illnesses and prescribed medications with potential impact on an included individual’s comorbidity and risk of fracture or injurious falls were selected. The Charlson comorbidity index was calculated to summarize and quantify comorbidity [16]. To investigate and present differences in baseline characteristics, standardized differences were calculated. Incident rates per 1000 person-years were calculated to enable comparison of incidence despite different follow-up lengths. Cox regression models were used to calculate hazard ratios. In contrast to logistic regression, Cox regression uses the length of each individual’s follow-up period. The Cox assumption of proportional hazards was tested using a time-dependent Cox model with a linear interaction term between time and group variable for eating disorder diagnosis. The proportional hazards criterion was fulfilled. Interaction analyses were performed using Cox models, with interaction terms eating disorder × sex and eating disorder × age. Subgroup analyses were performed with stratification for sex. In the subset cohort, 1:1 propensity score matching was performed using R-Studio Version 1.2.5033 for Mac and the MatchIt package. Statistical analyses were performed using IBM SPSS software version 26 and Stata version SE 16.0 for Mac. P-values lower than 0.05 were considered significant. For interaction terms, p-values lower than 0.10 were considered significant.

Table 1.

Baseline characteristics

Complete cohort (1998–2017) Subset cohort (2006–2017)
Controls Eating Disorder SMD Controls Eating disorder SMD
N = 88 670 N = 8 867 N = 48 200 N = 4 820
Age, y Mean (SD) 41.6 (13.7) 41.6 (13.7) 0 45.9 (12.6) 45.9 (12.6) 0
  Age 20–39 n (%) 46,790 (52.8%) 4679 (52.8%) 0 17,340 (36.0%) 1734 (36.0%) 0
  Age 40–59 n (%) 32,760 (36.9%) 3276 (36.9%) 0 24,460 (50.7%) 2446 (50.7%) 0
  Age ≥ 60 n (%) 9120 (10.3%) 912 (10.3%) 0 6400 (13.3%) 640 (13.3%) 0
Female sex n (%) 80,360 (90.6%) 8036 (90.6%) 0 43,160 (89.5%) 4316 (89.5%) 0
Non-Nordic citizenship at birth n (%) 12,298 (13.9%) 818 (9.2%)  − 0.146 7064 (14.7%) 486 (10.1%)  − 0.139
Sickness benefits n (%) 12,696 (14.3%) 3954 (44.6%) 0.704 6223 (12.9%) 1998 (41.5%) 0.677
Charlson Comorbidity index Mean (SD) - - - 0.2 (0.8) 0.4 (1.2) 0.227
  = 1 n (%) - - - 2047 (4.2%) 432 (9.0%) 0.191
  = 2 n (%) - - - 1669 (3.5%) 281 (5.8%) 0.113
  ≥ 3 n (%) - - - 834 (1.7%) 223 (4.6%) 0.166
Osteoporosis (M80-M81) n (%) - - - 259 (0.5%) 104 (2.2%) 0.141
Secondary osteoporosis n (%) - - - 1018 (2.1%) 278 (5.8%) 0.189
Osteoporosis medication, 1y history n (%) - - - 589 (1.2%) 87 (1.8%) 0.048
Calcium vitamin D, 1y history n (%) - - - 629 (1.3%) 159 (3.3%) 0.133
Previous alcohol related disease, 5y history n (%) - - - 447 (0.9%) 439 (9.1%) 0.381
Previous rheumatoid arthritis, 5y history n (%) - - - 329 (0.7%) 53 (1.1%) 0.044
Previous prednisolone use (≥ 5 mg/day, ≥ 3 months) n (%) - - - 1525 (3.2%) 245 (5.1%) 0.097
Previous fracture n (%) - - - 4333 (9.0%) 730 (15.1%) 0.190
  multiple (≥ 2 occasions, 5y history) n (%) - - - 357 (0.7%) 99 (2.1%) 0.112
  recent (1y history) n (%) - - - 615 (1.3%) 166 (3.4%) 0.143
Previous fall injury n (%) - - - 3912 (8.1%) 689 (14.3%) 0.197
  multiple (≥ 2 occasions, 5y history) n (%) - - - 506 (1.0%) 121 (2.5%) 0.111
  recent (1y history) n (%) - - - 513 (1.1%) 120 (2.5%) 0.108
Antidepressants (N06A), 1y history n (%) - - - 3754 (7.8%) 1974 (41.0%) 0.837
Antipsychotics (N05A), 1y history n (%) - - - 561 (1.2%) 422 (8.8%) 0.355
Anxiolytics (N05B), 1y history n (%) - - - 1279 (2.7%) 955 (19.8%) 0.565
Hypnotics & sedatives (N05C), 1y history n (%) - - - 2285 (4.7%) 1273 (26.4%) 0.626

The complete cohort includes all patients with an eating disorder diagnosis and the subset cohort includes all patients with an eating disorder diagnosis with at least 1 year of medication history and ≥ 5 years history of diagnoses. Standardized mean differences (SMD) were calculated as (meanED – meancontrols)/√((SD2ED + SD2controls)/2). All p-values were < 0.001 apart from age and sex

Results

In the present study, 8867 patients with a diagnosed eating disorder and 88,670 age-, sex-, and county-matched controls who had never been diagnosed with an eating disorder were investigated. The mean (standard deviation) age of the patients with an eating disorder and controls was 41.6 (13.7) years, and the majority of patient and controls were women (90.6%). Patients with an eating disorder were more likely to have received sickness benefits but were less likely to be of non-Nordic origin (Table 1).

In the complete cohort, patients with an eating disorder were followed for 9.6 (5.2, 14.4) years (median, interquartile range) and controls for 10.1 (5.5, 14.2) years. The proportions of injurious falls without fracture (17.3% vs. 9.0%), of any fracture (17.9% vs. 9.7%), major osteoporotic fracture (7.3% vs 3.7%), and hip fracture (1.6% vs. 0.7%) were significantly (p < 0.001) greater in patients with an eating disorder than in their corresponding population controls. Patients with an eating disorder sustained 1531 non-skeletal fall injuries, of which 434 were head injuries (Appendix Table 2). The proportion of non-skeletal injurious falls was greater in patients than in controls, regardless of injury type. Similarly, incident rates of injurious falls, any fracture, major osteoporotic fracture, and hip fracture were considerably higher in patients with an eating disorder than in the controls (Table 2).

Table 2.

Associations between an Eating Disorder diagnosis, fall injury, and fracture

Outcome Controls
N = 88670
Eating disorder N = 8867 p-value
Injurious falls without fracture
  Events, n (%) 7974 (9.0%) 1531 (17.3%)  < 0.001
  Per 1000 person-years (95% CI) 9.49 (9.28–9.70) 19.6 (18.7–20.6)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.07 (1.96–2.18)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.94 (1.83–2.05)  < 0.001
Any fracture
  Events, n (%) 8633 (9.7%) 1584 (17.9%)  < 0.001
  Per 1000 person-years (95% CI) 10.3 (10.1–10.5) 20.3 (19.3–21.3)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 1.97 (1.87–2.08)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.94 (1.84–2.05)  < 0.001
Major osteoporotic fracture
  Events, n (%) 3298 (3.7%) 645 (7.3%)  < 0.001
  Per 1000 person-years (95% CI) 3.78 (3.65–3.91) 7.66 (7.09–8.27)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.03 (1.86–2.21)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 2.18 (2.00–2.37)  < 0.001
Hip fracture
  Events, n (%) 636 (0.7%) 142 (1.6%)  < 0.001
  Per 1000 person-years (95% CI) 0.71 (0.66–0.77) 1.64 (1.39–1.93)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.30 (1.92–2.75)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 3.06 (2.55–3.67)  < 0.001

All subjects from the complete cohort were included in the analyses. The Cox proportional hazards model used was adjusted for year of inclusion, age, sex, non-Nordic citizenship, and sickness benefits

In an adjusted Cox proportional hazards model, patients with an eating disorder had a higher risk of injurious falls (Hazard ratio (HR) 95% confidence interval (CI): 1.94 (1.83–2.05)), any fracture (HR 1.94 (1.84–2.05)), major osteoporotic fracture (HR 2.18 (2–2.37)), and hip fracture (HR 3.06 (2.55–3.67)) than the controls (Table 2, Fig. 1).

Fig. 1.

Fig. 1

The cumulative hazard of injurious falls (A), any fracture (B), major osteoporotic fracture (C), and hip fracture (D) for patients with an eating disorder and controls presented as fractions (0 to 1)

The HR for any investigated outcome associated with an eating disorder did not differ by sex or age (interaction term p > 0.10). In a sex-stratified analysis, incidence rates and the risk of injurious falls without fracture, any fracture, major osteoporotic fracture, and hip fracture were substantially increased both in men and women with an eating disorder diagnosis, compared to controls (Table 3). These associations remained highly similar and significant after adjustments for confounders.

Table 3.

Sex-stratified associations between an eating disorder diagnosis, injurious falls and fracture

Women Men
Control N = 80360 Eating disorder
N = 8036
p-value Control
N = 8310
Eating disorder
N = 831
p-value
Injurious falls
  Events, n (%) 7140 (8.9%) 1380 (17.2%)  < 0.001 834 (10%) 151 (18.2%)  < 0.001
  Per 1000 person-years (95% CI) 9.25 (9.04–9.47) 19.1 (18.2–20.2)  < 0.001 12.1 (11.3–13) 25.4 (21.7–29.8)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.07 (1.95–2.19)  < 0.001 Ref 2.09 (1.76–2.49)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.92 (1.81–2.04)  < 0.001 Ref 2.10 (1.75–2.51)  < 0.001
Any fracture
  Events, n (%) 7733 (9.6%) 1441 (17.9%)  < 0.001 900 (10.8%) 143 (17.2%)  < 0.001
  Per 1000 person-years (95% CI) 10.0 (9.8–10.3) 20.0 (19.0–21.0)  < 0.001 13.2 (12.3–14) 24.4 (20.7–28.7)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 1.99 (1.88–2.11)  < 0.001 Ref 1.85 (1.55–2.20)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.95 (1.84–2.06)  < 0.001 Ref 1.81 (1.51–2.18)  < 0.001
Major osteoporotic fracture
  Events, n (%) 3014 (3.8%) 595 (7.4%)  < 0.001 284 (3.4%) 50 (6.0%)  < 0.001
  Per 1000 person-years (95% CI) 3.77 (3.64–3.90) 7.64 (7.05–8.28)  < 0.001 3.88 (3.46–4.36) 7.90 (6.01–10.4)  < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.03 (1.86–2.21)  < 0.001 Ref 2.03 (1.51–2.74)  < 0.001
  Adjusted Cox, HR (95% CI) Ref 2.15 (1.96–2.35)  < 0.001 Ref 2.49 (1.83–3.38)  < 0.001
Hip fracture
  Events, n (%) 527 (0.7%) 125 (1.6%)  < 0.001 109 (1.3%) 17 (2.0%)  < 0.001
  Per 1000 person-years (95% CI) 0.64 (0.59–0.70) 1.55 (1.30–1.84)  < 0.001 1.48 (1.22–1.78) 2.72 (1.71–4.31) 0.02
  Unadjusted Cox, HR (95% CI) Ref 2.41 (1.98–2.93)  < 0.001 Ref 1.84 (1.12–3.02) 0.02
  Adjusted Cox, HR (95% CI) Ref 3.06 (2.52–3.73)  < 0.001 Ref 2.83 (1.70–4.71)  < 0.001

All subjects from the complete cohort were included in the analyses. Cox proportional hazards models were adjusted for year of inclusion, age, sex, non-Nordic citizenship, and sickness benefits

In the subset of the cohort, patients with an eating disorder had substantially greater comorbidity, were more likely to have osteoporosis and diseases linked to secondary osteoporosis, and have alcohol-related diseases, as well as having a considerably higher proportion of prevalent fractures and fall injuries, than their age- and sex-matched controls (Table 1). The proportion being prescribed medications linked to falls (antidepressants, antipsychotics, anxiolytics, hypnotics, and sedatives) was substantially higher among eating disorder patients than in controls. Cox regression models were performed in order to evaluate if patients with an eating disorder had increased risk of injurious falls and fractures, when considering additional confounders. In a multivariable Cox regression (model 1), patients with eating disorder had increased risk of injurious falls (HR 1.44 (1.30–1.59)), any fracture (HR 1.43 (1.29–1.57)), major osteoporotic fracture (HR 1.46 (1.25–1.70)), and hip fracture (HR 2.79 (2.03–3.82); Table 4). The increased risk for all these outcomes in patients with eating disorders remained significant but was attenuated when adding adjustments for medications linked to falls (model 2). Similarly, the increased risk for all investigated outcomes remained significant, but attenuated when comparing the patients with eating disorders to 1:1 propensity score matched controls (Appendix Table 34).

Table 4.

Associations between an eating disorder diagnosis, injurious falls, and fractures—subset analyses to allow multivariable adjustment

Outcome Controls
N = 48200
Eating disorder
N = 4820
p-value
Injurious falls
  Events, n (%) 3085 (6.4%) 582 (12.1%) < 0.001
  Per 1000 person-years (95% CI) 10.8 (10.4–11.2) 22.0 (20.3–23.9) < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.04 (1.86–2.23) < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.93 (1.76–2.12) < 0.001
  Multivariable Cox model 1, HR (95% CI) Ref 1.44 (1.30–1.59) < 0.001
  Multivariable Cox model 2, HR (95% CI) Ref 1.33 (1.20–1.47) < 0.001
Any fracture
  Events, n (%) 3377 (7.0%) 602 (12.5%) < 0.001
  Per 1000 person-years (95% CI) 11.9 (11.5–12.3) 22.6 (20.9–24.5) < 0.001
  Unadjusted Cox, HR (95% CI) Ref 1.91 (1.75–2.08) < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.86 (1.70–2.03) < 0.001
  Multivariable Cox model 1, HR (95% CI) Ref 1.43 (1.29–1.57) < 0.001
  Multivariable Cox model 2, HR (95% CI) Ref 1.34 (1.21–1.48) < 0.001
Major osteoporotic fracture
  Events, n (%) 1318 (2.7%) 231 (4.8%) < 0.001
  Per 1000 person-years (95% CI) 4.5 (4.27–4.75) 8.26 (7.26–9.40) < 0.001
  Unadjusted Cox, HR (95% CI) Ref 1.83 (1.59–2.11) < 0.001
  Adjusted Cox, HR (95% CI) Ref 1.92 (1.66–2.22) < 0.001
  Multivariable Cox model 1, HR (95% CI) Ref 1.46 (1.25–1.70) < 0.001
  Multivariable Cox model 2, HR (95% CI) Ref 1.41 (1.20–1.65) < 0.001
Hip fracture
  Events, n (%) 255 (0.5%) 60 (1.2%) < 0.001
  Per 1000 person-years (95% CI) 0.86 (0.76–0.97) 2.10 (1.63–2.71) < 0.001
  Unadjusted Cox, HR (95% CI) Ref 2.44 (1.84–3.23) < 0.001
  Adjusted Cox, HR (95% CI) Ref 3.46 (2.60–4.60) < 0.001
  Multivariable Cox model 1, HR (95% CI) Ref 2.79 (2.03–3.82) < 0.001
  Multivariable Cox model 2, HR (95% CI) Ref 2.69 (1.94–3.71) < 0.001

All subjects diagnosed with an eating disorder between 2006 and 2017 from the subset cohort were included in the analyses. The adjusted Cox model included adjustment for year of inclusion, age, sex, non-Nordic citizenship, and sickness benefits. In the multivariable model 1, adjustment was added for previous fracture (any, recent, and multiple), previous non-skeletal fall injury (any, recent, multiple), number of previous admissions, Charlson comorbidity index, osteoporosis diagnosis, secondary osteoporosis, alcohol-related illness, rheumatoid arthritis, oral prednisolone use, osteoporosis medication, and calcium and vitamin D supplements. In the multivariable model 2, adjustment was also added for antipsychotic, anxiolytic, hypnotic/sedative, and antidepressant medications

Discussion

In this large, retrospective national cohort study, we found that both men and women with an eating disorder had increased risk of injurious falls without fracture, any fracture, major osteoporotic fracture, and hip fracture, as compared to their age and sex-matched population controls. These associations were observed for men and women separately and were not dependent on age.

Fall rates increase with age and falls are the leading cause of nonfatal and fatal injury in older adults [17]. In community-living older persons, fall-related injuries are the most prominent cause of disability and likelihood of long-term nursing home admissions [18]. In the present study, patients with an eating disorder were younger (mean age 41.6 years) but were followed for up to 20 years. During this period, over 17% of the patients with an eating disorder sustained an injurious fall without a fracture, a proportion approximately double that of the control population, indicating that injurious falls constitute a very common and clinically important (the affected patients had to seek medical attention for their fall injury) problem for patients with eating disorders. Both head injuries and injuries at other locations were much more common in patients with eating disorders, indicating that the condition leads to increased rates of falling. The association was highly similar for men and women, without any interaction between injurious falls and sex, suggesting that the increased risk with an eating disorder is highly similar in both sexes, although the prevalence is lower in men.

The increased propensity to fall could be due to hypotension, arrhythmias, hypoglycemia, peripheral neuropathy, and conditions all related to anorexia nervosa. Similar but less severe conditions can be found in bulimia nervosa [1, 19]. Altogether, it is conceivable that eating disorders can increase the risk of falls and injuries resulting from falls, although the clinical impact of eating disorders on injurious falls has not previously been reported.

A much more frequent use of medications linked to falls, including antidepressants, anxiolytics, antipsychotics, sedatives, and hypnotics [20], was observed in patients with eating disorders than in the controls. The risk of fractures and injurious falls was still elevated but slightly attenuated in patients with eating disorders when adjusting for these medications in the Cox model (subset analysis, Table 4), indicating that a more frequent use of these medications contribute to the increased risk observed in eating disorder patients. In the subset analysis, the patients with baseline June 2006 or before were excluded, i.e., the patients with the longest follow-up, longest time with illness, were excluded, resulting in similar associations as the whole group, however with slightly lesser magnitude as expected.

Normally, high-intensity exercise has beneficial effects on physical function and BMD [21], but in anorexia, this effect could be absent or the opposite if there is overtraining present [6, 22]. In addition, with increased exposure, the risk of falls could also be affected adversely in these patients. Extreme exercise is common in anorexia nervosa and it is therefore conceivable that exercise habits could have influenced the risk of injurious falls in the present analysis, but due to lack of data on exercise, this hypothesis could not be investigated [23].

The incidence of fragility fracture increases with age and is about twice as high in women than in men [24, 25]. Fractures often lead to loss of function, disability, and chronic pain, which have deleterious effects on the affected person’s quality of life [2628]. Several previous studies have found an increased risk of fractures at most sites in women with anorexia nervosa, but only limited data is available regarding men with the condition. In one large study of men and women in the UK, men with anorexia nervosa had increased risk of vertebral fractures but the study lacked statistical power to evaluate the risk of hip fracture, with only 7 affected men included in the follow-up. In the present study, all patients with any eating disorder from the entire Swedish population, 40 years and older, were included, yielding the hitherto largest population of men with an eating disorder studied. Men with an eating disorder had a substantially greater risk of any fracture, major osteoporotic fracture, and hip fracture than their age-matched controls. As expected, the risk of fractures was also considerably higher in women with an eating disorder than in their age-matched population controls, with the greatest increased risk observed for hip fracture. For both men and women, the risk of hip fracture was approximately 3 times higher in patients with an eating disorder than in their age- and sex-matched population controls. Over the duration of the study, 17–18% of men and women with an eating disorder had a fracture, emphasizing the size and importance of eating disorder-related fractures.

In the subset of patients (n = 4 820) with an eating disorder diagnosed between 2006 and 2017, the proportions of prevalent fracture and injurious falls were considerably larger than in their age- and sex-matched controls, suggesting that the disease or its related comorbidities had been present before the time of diagnosis. A sensitivity analysis was performed to investigate if the increased risk of fractures and injurious falls was due to known comorbidities. Results revealed that the association between an eating disorder, fractures, and injurious falls maintained and was not markedly attenuated in fully adjusted models.

The potential negative impact of both anorexia nervosa and bulimia nervosa on spine BMD and for anorexia nervosa on hip BMD as well has been previously reported [7], although the association between bulimia and low BMD has not been found in all studies [29]. The detrimental effects of severe malnutrition and underweight, as seen in anorexia nervosa, on BMD has been well documented, and are likely influenced by duration of amenorrhea but the mechanisms for lower BMD in bulimia nervosa are more obscure [30].

A limitation of the present study is the lack of specification of type of eating disorder diagnosis on a patient level in the present analysis. This prevents conclusions regarding the relative risk of fracture and injurious falls in anorexia nervosa and bulimia separately. In most previous studies investigating the risk of fracture in eating disorders, anorexia nervosa has been associated with the most profound risk increase [10, 11]. Thus, it is likely that the risk estimates for patients with eating disorders in the herein presented results underestimate the true risk increase in patients with anorexia nervosa. Although we were able to perform sensitivity analysis in a subset of individuals with a large amount of data on possible confounders, including medication and diseases, we did not have access to all relevant risk factors (e.g., physical activity habits, smoking, heredity, body mass index, and BMD) for fractures and/or falls [3133], which could have influenced the results. Due to the lack of these important confounders, the present study is not able to in detail study potential mechanisms behind the observed associations between eating disorder and studied outcomes. Furthermore, using ICD-10 codes to identify patients with eating disorder has been argued to have several shortcomings, including lack of consistency in assigned diagnosis codes, resulting in many patients diagnosed in the subcategories (such as “other specified,” “unspecified,” or “atypical”), and failure to recognize the full range of clinical manifestations of eating and feeding disorders [34]. However, it could be argued that the present analysis should not have been affected by this inherent limitation with ICD-10 coding for eating disorder, since only the main diagnosis (F50) code was most commonly used.

However, the current study also has many strengths. It is by far the largest study to date in terms of the number of included patients, length of follow-up, and number of events, to investigate the association between eating disorders and fracture risk in both men and women [5, 10, 11]. This study is the first to document a statistically significant increase in the risk of hip fractures in men with eating disorders. The present study also constitutes the hitherto only population-based cohort examining the risk of non-skeletal fall injuries in patients with eating disorders.

In conclusion, men and women with an eating disorder have a substantially higher risk of fall injury without fracture, any fracture, major osteoporotic fracture, and hip fracture compared to their age- and sex-matched controls.

Supplementary Information

Below is the link to the electronic supplementary material.

Funding

Open access funding provided by University of Gothenburg.

Declarations

Conflicts of interest

Dr Axelsson has received lecture fees from Lilly, Meda/Mylan and Amgen. Prof Lorentzon has received lecture fees from Astellas, Amgen, Lilly, UCB Pharma, Radius Health, Meda/Mylan, GE-Lunar and Santax Medico/Hologic. Mr Litsne and Drs Woessner, Wheeler, Flehr, King, Kalén, and Vandenput have no conflicts of interest.

Footnotes

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