Background: Fatigue is a symptom commonly reported by patients with inflammatory bowel disease (IBD). Treating any underlying inflammation in active disease improves the health outcomes and decreases fatigue, but fatigue still persists in remission, negatively affecting patients’ quality of life and posing a challenge for the treating physician. The aim of this study was to describe the prevalence of fatigue in patients with IBD and investigate possible contributing factors. Methods: Recruited IBD patients from the Otago region in southern New Zealand were asked to complete demographic, physical activity (IPAQ) and fatigue questionnaires (Brief Fatigue Inventory, Multidimensional Fatigue Inventory). Disease activity and factors contributing to fatigue were assessed through self-reporting and laboratory biomarkers. Results: One hundred and thirteen of the contacted 469 IBD patients participated in the study. Depending on the questionnaire used, the prevalence of fatigue in IBD was high in remission (39.5–44.2%) but significantly higher (p < 0.001) in active disease (80.0–82.9%). Several factors such as age, disease duration, level of physical activity, gender and diet were found to be associated with increased fatigue and were attributed to either mental or physical fatigue categories. Multifactorial Fatigue Inventory provided insights into different types of fatigue, and revealed a significant mental fatigue component in both active and remission disease patients. Iron deficiency was not associated with fatigue levels. Conclusions: Fatigue in IBD is multi-faceted and highly prevalent in both active and remission IBD. Further investigations, addressing the complexity of the symptom and its reporting are needed.

Fatigue is a common and persistent symptom of a number of chronic conditions, such as cancers, rheumatoid arthritis, and has been reported to be problematic in inflammatory bowel diseases (IBD) [1-3]. The most common forms of IBD are Crohn’s disease (CD) and ulcerative colitis (UC) [4]. Both forms are characterised by intermittent “flare-ups” with increased inflammatory activity, along with episodes of remission, with reduced inflammatory activity [5, 6].

Fatigue has been described as an unpleasant, distressing [7] and persistent tiredness, weakness or exhaustion at physical, mental or both levels. It is also known as subjective, variable and multifactorial [8]. Fatigue is one of the most frequent symptoms in IBD and has been reported to be present in 44–86% of patients with active disease, and up to 22–48% of those in remission [2, 8] – substantially higher than in the healthy population [7, 9]. Due to the underlying complexity of factors contributing to fatigue, treatments are often empirical and resolution of symptoms difficult to achieve.

Fatigue in IBD has been attributed to such factors as disease activity [10, 11] and severity of IBD symptoms [12, 13], duration of illness [12], gender [9, 14], psychological [15] and lifestyle factors, while other studies found fatigue to be independent of these variables[10, 16]. Depleted iron stores are frequently associated with fatigue in a number of conditions, and are a common side effect of IBD [17]. However, determining iron deficiency in IBD is complex, as the serum markers are affected by the inflammatory mediators [18].

IBD in remission is associated with decreased levels of fatigue potentially due to reduced inflammation, but the prevalence remains substantial, the specific causes unknown and management difficult [8].

Furthermore, there is a lack of consensus on what defines fatigue and how to measure it, and several tools have been used to capture the complexity [7, 19]. Most commonly used are the Brief Fatigue Inventory (BFI) [20], Multifactorial Fatigue Inventory (MFI) [21], Functional assessment of chronic illness therapy-fatigue (FACIT-F) [22], Fatigue questionnaire (FQ) [23] along with many more. However, none of these questionnaires was developed in IBD populations. We chose a one-dimensional BFI questionnaire that offers a quick fatigue assessment, and the MFI – a more in-depth, multifactorial description of fatigue [19, 21]. These tools were chosen due to their frequent use to assess fatigue in IBD disease studies [2, 7, 10, 13, 14, 24-26] and because they represented two different approaches to fatigue measurement. To date, there have been very few studies that focused on fatigue in IBD as the primary outcome measure [2], and explored the symptom in its multi-dimensional nature. There is also lack of data on the influence of lifestyle variables on the levels of fatigue in IBD patients.

The aim of this study was therefore primarily to determine the prevalence of fatigue in IBD patients in Dunedin, New Zealand, and secondarily to investigate in detail associated demographic, clinical and lifestyle variables in both active disease and disease in remission. Finally, we wanted to explore the usefulness of the questionnaires in clinical practice.

Patient Recruitment

Adult patients (≥18 years old), with histologically confirmed IBD were identified through the Dunedin Public Hospital IBD outpatient clinics and the hospital’s Gastroenterology Unit, IBD-specific database (EpiSoft, Sydney, Australia). Following consent, patients were asked to complete several questionnaires to describe their demographic variables, IBD disease activity, perceived fatigue, level of physical activity, and to provide blood and stool samples. Patients completed the questionnaires independently.

Assessment of Inflammatory Activity

Patients were asked to complete a disease activity questionnaire specific to their disease diagnosis (Crohn’s Disease Activity Index [CDAI] [27] and Simple Clinical Colitis Activity Index [SCCAI] [28] for CD and UC patients, respectively). C-reactive protein (CRP), and faecal calprotectin (FCP) [29] were measured in all patients (at the Southern Community Laboratories, Dunedin, New Zealand).

Definition of remission in IBD is controversial and the commonly used disease activity markers have limitations in categorising patients to active and disease in remission, as specific cut-off values are difficult to determine. Patients were defined to have active disease if at least one of the following measures was above the pre-defined values: CDAI > 150 [30] or SCCAI > 5 [31], FCP > 150 µg/g [32], CRP > 5 mg/L [33, 34], as suggested by a number of studies. Patients at or below these values were considered to be in remission [35-37]. In order to represent an accurate picture of remission in IBD, we also separately reported fatigue prevalence in patients with a CRP < 10 mg/L, as suggested by the latest ECCO guidelines [29].

Fatigue

To measure fatigue in patients, the BFI and Multidimensional Fatigue Inventory (MFI) were used. The definition of fatigue was complicated by lack of clear cut-off scores; hence, values reported in other studies were used [2, 20]. The BFI is a single dimension fatigue questionnaire, with values > 4 indicating moderate fatigue and > 6 severe fatigue [20]. The MFI consists of multiple dimensions – General Fatigue, Physical Fatigue, Reduced Activity, Reduced Motivation, Mental Fatigue; each dimension contains 4 questions and results in scores of 4–20, increasing with fatigue. We considered values > 10 moderate and > 14 as severe fatigue in each of the dimensions; cumulative scores > 50 points for overall MFI indicated moderate to severe and > 70 severe fatigue [2, 14]. All scores were reported to describe the prevalence of fatigue.

Physical Activity

The International Physical Activity Questionnaire (IPAQ) [38] was used to estimate participants’ level of physical activity. Val ues lower than 600 were considered low physical activity, 600–3,000 – moderate, while > 3,000 – high physical activity. Participants also reported the number of hours they spend per day sitting, which was also used as an indication of physical activity and a lifestyle measure.

Iron Deficiency

Serum ferritin was used to assess blood iron status (all at the Southern Community Laboratories, Dunedin, New Zealand). Iron deficiency diagnostic criteria depend on inflammation levels [17]; and according to the ECCO guidelines for Iron Deficiency and Anaemia in IBD [17], adult serum ferritin values less than 30 µg/L were considered indicative of iron deficiency in IBD patients in remission and serum ferritin values of even < 100 µg/L could be indicative of possible iron deficiency in active disease [39]. Patients were assigned presence of iron deficiency accordingly.

Statistical Considerations

Medians and interquartile ranges (IQR) and means and standard deviations (SD) were calculated to describe the study sample. Sample characteristics were compared between patients with active and quiescent disease using Pearson’s χ2 test for categorical variables, Mann-Whitney-Wilcoxon and t tests test for continuous data. Simple linear regression method was used to select explanatory variables for general multiple linear regression to model continuous fatigue outcome measures. Type of IBD was included in all the models due to the expected clinical impact. Backwards selection was used to select informative explanatory variables. Pairwise interactions between disease activity status, type of IBD, gender and presence of iron deficiency were tested. Diagnostic plots and model fit values were used to select the best fit models.

Spearman correlations were used to explore relationship between disease activity markers and fatigue questionnaire scores. p values lower than 0.05 were considered statistically significant. Analyses were performed using R statistical computing language [40].

Study Sample (Table 1)

Of the contacted IBD patients, 24.1% (n = 113/469) participated in the study (Fig. 1). 61.6% (n = 69) of them were female with mean (SD) 47.2 (16.6) years of age. 61.9% (n = 70) and 38.1% (n = 43) of the participants had CD and UC, respectively. According to the criteria defined above and with a CRP cut-off at < 5 mg/L, 70% (n = 49) CD patients had active disease and 30% (n = 21) were in remission at the time of the study, while 49% (n = 21) and 51% (n = 22) UC patients had active disease or were in remission, respectively (Fig. 1). Significantly more CD patients had active disease than UC (p = 0.04). Median (IQR) duration of disease was significantly longer in the active disease group (13.5 years [6.3–22.8]) than in patients in remission (8.0 years [4.0–16.5]) (p = 0.026). 47.8% (n = 54) of the study participants had iron deficiency as indicated by their serum ferritin levels.

Table 1.

Study population characteristics – demographic, clinical and lifestyle variables

Study population characteristics – demographic, clinical and lifestyle variables
Study population characteristics – demographic, clinical and lifestyle variables
Fig. 1.

Study participant recruitment and response.

Fig. 1.

Study participant recruitment and response.

Close modal

Median (IQR) BMI was 25.6 (22.7–29.3); 20.4% (n = 23) and 37.2% (n = 42) followed some diet and used supplements, respectively. Finally, majority (76.1%) of the participants were moderately or highly physically active.

Levels of Fatigue in IBD Patients

The proportion of IBD patients with active disease that experienced moderate or severe fatigue according to BFI and MFI overall questionnaires was 82.9 and 80.0%, respectively. In contrast but still clinically important, 39.5 and 44.2% of the quiescent disease IBD patients experienced moderate or severe fatigue according to BFI and MFI overall questionnaires, respectively.

Based on BFI and all MFI dimension results, 59.2–83.7% of active CD and 14.3–71.4% of remission CD patients reported moderate to severe fatigue; 42.9–95.2% of active UC and 22.7–54.5% of remission UC patients reported moderate to severe fatigue (Fig. 2 and online suppl. Table 1; see www.karger.com/doi/10.1159/000496054 for all online suppl. material).

Fig. 2.

Comparison of population percentages experiencing moderate and severe fatigue (a) and severe fatigue (b).

Fig. 2.

Comparison of population percentages experiencing moderate and severe fatigue (a) and severe fatigue (b).

Close modal

There was a large variation between the different fatigue dimensions in all patient categories, highlighting the multifactorial nature of this symptom. The most prevalent type of moderate and severe fatigue in all studied patients was General Fatigue (71.4–95.2%). The least prevalent was Mental Fatigue in CD and UC active disease (42.9–59.2%), and Reduced Motivation (14.3%) and Reduced Activity (22.7%) in CD and UC in remission, respectively (Fig. 2).

There was a larger difference between severe fatigue prevalence in disease in remission comparing to active disease (median 2.95 times lower) than in moderate fatigue (median 1.1 times lower) (Fig. 2). There was little difference between Reduced Activity, Mental Fatigue and Physical Fatigue prevalence between active disease patients and patients in remission.

It is noteworthy that all fatigue measures (except for MFI Mental Fatigue: p = 0.064) indicated statistically significantly higher fatigue levels in active IBD compared to remission (p < 0.001) (Table 2).

Table 2.

Study sample fatigue measures: remission versus active disease

Study sample fatigue measures: remission versus active disease
Study sample fatigue measures: remission versus active disease

Using Different Disease Indices (Table 3)

Increasing the threshold for quiescent disease to CRP < 10 mg/L according to ECCO guidelines resulted in 61 active (41 CD and 20 UC) and 52 (29 CD and 23 UC) patients in remission (Table 3). Using these categories of active and IBD in remission, the prevalence of fatigue was not significantly different from the more conservative (CRP < 5 mg/L) disease in remission definition.

Table 3.

Comparison of fatigue prevalence using different values of CRP as one of categorizing disease indices

Comparison of fatigue prevalence using different values of CRP as one of categorizing disease indices
Comparison of fatigue prevalence using different values of CRP as one of categorizing disease indices

Variables Associated with Fatigue

Multiple linear regression slope coefficients and 95% confidence intervals along with explanatory variable and model p values are listed in Table 4.

Table 4.

Multiple linear regression models’ outputs; slope coefficient estimates and 95% confidence intervals for fatigue scores as outcome variables

Multiple linear regression models’ outputs; slope coefficient estimates and 95% confidence intervals for fatigue scores as outcome variables
Multiple linear regression models’ outputs; slope coefficient estimates and 95% confidence intervals for fatigue scores as outcome variables

IBD disease status was a highly significant explanatory variable; patients with active disease reported higher fatigue scores in BFI and across the MFI dimensions (p < 0.001), except for the Mental Fatigue score. Fatigue scores (MFI overall) were significantly positively correlated with self-reported CDAI and SCCAI scores (Spearman’s rho = 0.41, p < 0.001, and rho = 0.54, p < 0.001, respectively), in comparison to laboratory inflammation measures FCP and CRP (Fig. 3).

Fig. 3.

Correlation of MFI overall with disease activity diagnostic indices Crohn’s disease (CD) CDAI score (a), ulcerative colitis (UC) SCCAI score (b), combined CD and UC CRP scores (log10) (c), and combined CD and UC FCP values (log10) (d).

Fig. 3.

Correlation of MFI overall with disease activity diagnostic indices Crohn’s disease (CD) CDAI score (a), ulcerative colitis (UC) SCCAI score (b), combined CD and UC CRP scores (log10) (c), and combined CD and UC FCP values (log10) (d).

Close modal

Females scored significantly higher in MFI General Fatigue (p = 0.008), Physical Fatigue (p < 0.001), Reduced Activity (p = 0.023) and overall MFI measures (p = 0.011). There was some evidence that female gender was also linked with higher BFI scores (p = 0.052).

Dietary supplement users had lower Mental Fatigue (p = 0.042) and overall MFI scores (p = 0.019). Shorter duration of the disease was significantly associated with greater fatigue according to BFI (p = 0.002) and MFI General Fatigue dimension (p = 0.009). Similarly, older age patients experienced lower Mental Fatigue (p = 0.006).

Higher level of physical activity was associated with lower Physical (p = 0.040) and Mental (p = 0.006) fatigue levels, as well as lower MFI overall, Reduced Activity, Reduced Motivation scores (p = 0.004–0.040). There was some evidence that more hours spent sitting in a day was linked with higher MFI Reduced Activity and Reduced Motivation scores (p = 0.065–0.085). There was no association between presence of iron deficiency and different fatigue measures.

There was a significant interaction between disease activity status and type of IBD, with CD patients experiencing a smaller increase (2-point increase vs. 5.2-point increase in UC patients) in the MFI General Fatigue measure (p = 0.023). There were no other significant interactions between disease activity status, gender, type of IBD and presence of iron deficiency.

CD and UC are multi-factorial, systemic diseases that are characterised by episodes of active and quiescent disease. Patients with IBD commonly experience fatigue, and while it is often attributed to active inflammation, even patients in remission report symptoms of fatigue. The aim of this study was to estimate and characterise fatigue in an IBD population and to identify potential contributing factors.

We used two fatigue inventories to assess fatigue in our population, and identified considerable variation between their estimates. While the BFI produced a combined score, the MFI allowed us to separate and measure different subtypes of fatigue in the study population. Notably, while the prevalence of severe fatigue was lower in quiescent disease than in active disease, moderate fatigue scores persisted in the study population in remission.

We identified a high prevalence of moderate to severe fatigue in both active and quiescent disease patients (82.9–80.0% of active and 39.5–44.2% of remission, based on BFI and MFI overall scores, respectively) comparable with previous findings [2, 8]. While fatigue was significantly higher in active than in quiescent disease, the latter was still substantially higher than that in a healthy general population [7, 9], highlighting an important clinical challenge. Disease activity status was strongly linked with higher fatigue levels across most fatigue dimensions.

We explored a large number of possible explanatory variables associated with fatigue. Notably, some factors could be attributed to physical and mental fatigue categories. Level of physical activity and number of hours spent sitting significantly influenced the mental aspects of fatigue, suggesting that exercise could be a valuable tool to alleviate this. We also found a strong negative association between fatigue and the duration of the disease; patients who had the disease for longer period of time reported lower general fatigue. The same was observed for older participants – they had significantly lower mental fatigue. This could be explained by the adjustment to disease symptoms and the lifestyle impact on perceived fatigue. Similarly, in other studies increased fatigue has been found to be consistently associated with stress [15], depression, anxiety [25], while some studies [2] indicate improvements in fatigue levels after mental therapy [41, 42] that support the focus required on the mental aspect of fatigue. Finally, female gender was associated with higher fatigue levels across the fatigue dimensions.

Anaemia and iron deficiency are common side effects of IBD, mainly in active disease, and a number of studies have shown the association with fatigue in IBD patients. Our dataset did not capture association between presence of iron deficiency and fatigue levels; larger sample size would potentially be required for further investigations.

A detailed analysis of fatigue in active and quiescent disease is complicated due to the continuous nature of IBD symptoms and disease activity, and resulting loosely defined disease state-differentiating scores. In order to eliminate inflammation as a confounding factor to assess fatigue in patients in remission, we chose a more conservative definition of remission (CDAI ≤150, SCCAI ≤5, FCP ≤150 µg/g and CRP ≤5 mg/L), but also made comparisons using a higher CRP cut-off score (CRP < 10 mg/L) as suggested by the ECCO guidelines [29]. A recent study by Vogelaar et al.[43] identified statistically significant distinct immune profiles between fatigued and non-fatigued IBD patients in remission, as indicated by their FCP and CRP values, which in combination with our findings may suggest an important role of subclinical inflammation in fatigue prevalence.

Our findings support the use of a multidimensional fatigue inventory, such as MFI, as it allows capturing higher resolution image of fatigue that may enable us to narrow the problem and initiate a more directed treatment. However, the BFI is faster, and has been reported to be a good choice in patients with severe disease. The overall scores identifying presence of fatigue in both questionnaires were similar in our study population. Furthermore, fatigue cut-off scores require further validation and do not necessarily represent the qualitative descriptions of fatigue, especially since neither BFI nor MFI has been validated in IBD patients.

The main limitation of our study was the relatively small sample size. Due to complex and multi-faceted nature of the study topic, in addition to likely variation and bias of the reported fatigue values, larger sample sizes are required to establish stronger associations between variables. Moreover, participants completed the questionnaires and disease activity scores on their own, which means there might have been a possibility for questionnaire completion error.

Our study population might also not be reflective on the entire IBD patient population, since study participants were recruited from a specialist treatment unit, and only 30% of approached patients agreed to participate. It is also likely that patients experiencing higher levels of fatigue did not agree to participate; therefore, our results may underestimate true fatigue rates. The opposite is also possible, as patients with no or low levels of fatigue may have not been interested to participate.

In summary, we confirmed the expected high fatigue prevalence in our IBD population, and identified alarming levels of fatigue in patients in remission. Our study findings highlight the complexity and variability of fatigue presentation in IBD population, and address the need for further studies and consensus of fatigue measurements. Active disease status and female gender were highly statistically significantly linked with increased fatigue. There was evidence that higher physical activity may result in lower mental aspects of fatigue, as well as longer disease duration and increasing age may reduce the experience of fatigue. Surprisingly, we did not identify significant association between serum ferritin values and increased levels of fatigue. Further investigations with larger groups of patients are required to explore the full scope of the problem and validate associated explanatory variables.

This work was supported by GutHealthNetwork, a research theme of the University of Otago. Rashid Al-Mandhari received a scholarship from the University of Otago.

This study was approved by the New Zealand Health and Disability Ethics Committee (reference number 14/CEN/67) that complies with the Declaration of Helsinki standards. All study participants have given a written informed consent.

The authors declare no conflicts of interest.

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K. Aluzaite and R. Al-Mandhari contributed equally to this work.

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