Increased use of hypnotics in individuals with celiac disease: a nationwide case-control study
BMC Gastroenterology volume 15, Article number: 10 (2015)
Although poor sleep is common in numerous gastrointestinal diseases, data are scarce on the risk of poor sleep in celiac disease. The objective of this study was to estimate the risk of repeated use of hypnotics among individuals with celiac disease as a proxy measure for poor sleep.
This is a nationwide case–control study including 2933 individuals with celiac disease and 14,571 matched controls from the general Swedish population. Poor sleep was defined as ≥2 prescriptions of hypnotics using prospective data from the National Prescribed Drug Register (data capture: July 2005-January 2008). We estimated odds ratios and hazard ratios for poor sleep before and after celiac disease diagnosis respectively.
In this study, poor sleep was seen in 129/2933 individuals (4.4%) with celiac disease, as compared with 487/14,571 controls (3.3%) (odds ratio = 1.33; 95% CI = 1.08-1.62). Data restricted to sleep complaints starting ≥1 year before celiac disease diagnosis revealed largely unchanged risk estimates (odds ratio = 1.23; 95% CI = 0.88-1.71) as compared with the overall risk (odds ratio 1.33). The risk of poor sleep in celiac disease was essentially not influenced by adjustment for concomitant psychiatric comorbidity (n = 1744, adjusted odds ratio =1.26; 95% CI = 1.02-1.54) or restless legs syndrome (n = 108, adjusted odds ratio = 1.33; 95% CI = 1.08-1.63). Poor sleep was also more common after celiac disease diagnosis as compared with matched controls (hazard ratio = 1.36; 95% CI = 1.30-1.41).
In conclusion, individuals with celiac disease suffer an increased risk of poor sleep, both before and after diagnosis. Although we cannot rule out that surveillance bias has contributed to our findings, our results are consistent with previous data suggesting that sleep complaints may be a manifestation of celiac disease.
Celiac disease (CD) is a chronic autoimmune disorder affecting 1-2% of the Western population . In CD, dietary gluten not only leads to small-intestinal villous atrophy, but also affects organs outside the gastrointestinal tract . Individuals with CD therefore present with a great variety of symptoms and signs: classical symptoms of malabsorption (e.g. diarrhea with abdominal pain) and non-classical symptoms (e.g. fatigue, peripheral neuropathy and restless legs syndrome (RLS) ).
Poor sleep commonly includes difficulties in initiating and maintaining sleep, or a non-restorative sleep with or without daytime consequences . According to Swedish data, up to 20% of those with a self-reported sleeping disorder use prescribed sleeping pills . Although prescription of hypnotics, such as benzodiazepines or benzodiazepine-related drugs, is primarily recommended for short-term treatment of acute sleep disorders, in routine clinical practice pharmacological treatment is also common for prolonged-periods (months to years) of poor sleep .
Poor sleep frequently occurs in a number of gastrointestinal diseases, e.g. inflammatory bowel disease (IBD) . Not only may gastrointestinal symptoms impair the quality of sleep, but poor sleep may also have a detrimental effect on the course of both functional and inflammatory gastrointestinal conditions . Poor sleep may also add to the burden of disease by reducing the quality of life  and predispose to the development of comorbidities, such as psychiatric diseases . Although poor sleep has been closely studied in many other gastrointestinal diseases , to our knowledge, only one previous study has addressed the risk of poor sleep in CD . That cross-sectional study, based on 60 patients identified at one tertiary center, found poorer sleep quality among individuals with CD, both before and after treatment with a gluten-free diet, as compared with healthy volunteers .
In the current nationwide study including some 2900 individuals with CD we examined the risk of poor sleep defined as repeated use of hypnotics, both before and after CD diagnosis.
Data on individuals with CD were linked to the Swedish Prescribed Drug Register  in order to examine the risk of poor sleep in CD. Poor sleep was defined as repeated use (≥2 prescriptions) of hypnotics.
Between 2006 and 2008, we searched the computerized register from all Sweden’s pathology departments (n = 28) to identify individuals with biopsy-verified CD, defined as small-intestinal villous atrophy (Marsh grade 3) . We have earlier shown that 95% of Swedish individuals with villous atrophy have CD . The current study was based on the same dataset as described in our study on mortality in CD,  originally including 29,096 individuals with CD diagnosed between 1969 and 2008. Time of CD diagnosis was defined as time of first biopsy showing villous atrophy. For each of these individuals with CD the government agency Statistics Sweden tried to identify five controls matched for age, sex, calendar period of birth and county of residence through the Total Population Register, which includes demographic data on all Swedish residents . Controls were sampled from all Swedish residents in whom the computerized pathology registers did not indicate prior duodenal/jejunal biopsy. After exclusion of controls with data irregularities and those that could not be matched 144,522 controls were identified. Due to lack of eligible controls some individuals with celiac disease only had four controls and the average numb of controls per individual with celiac disease was slightly below 5. Where a patient had celiac disease, especially if diagnosed in old age, the responsible government agency sometimes failed to identify 5 matching controls. E.g. 76-year old man diagnosed with celiac disease in 1989 in Dalsland county. This means that this person was born in 1913. It may then have been that in 1989 there were only 4 other males aged 76 year in the part of Dalsland where this man lived.
We then linked data on individuals with CD and their matched controls to the Prescribed Drug Register  (established July 2005) in order to identify individuals with repeated use of hypnotics before CD diagnosis (and corresponding date in controls). Our main analysis was therefore restricted to individuals diagnosed with CD between July 2005 and January 2008, including 2,933 individuals with CD and 14,571 matched controls. In order to estimate the risk of poor sleep after CD diagnosis, we performed a pre-planned subanalysis including 26,587 individuals with CD diagnosed between 1969 and 2008 and 133,465 matched controls with a follow-up until July 2005 (start of the Prescribed Drug Register) and with no use of hypnotics prior to CD diagnosis. See Figures 1 and 2 for overview of study methodology.
The Prescribed Drug Register, established in July 2005, contains prospectively recorded high-quality data on virtually all prescribed drugs in Sweden . In Sweden, the use of hypnotics is strictly controlled and sleep medications are generally not sold over the counter.
We collected data on use of hypnotics from July 1st 2005 through January 29th 2008 and up to the date of CD diagnosis (and the corresponding date in matched controls). In order to minimize the risk of false positive cases we restricted our definition of poor sleep as ≥2 prescriptions of hypnotics before CD diagnosis. Hypnotics were classified according to the Anatomical Therapeutic Chemical (ATC) pharmaceutical classification system : benzodiazepine-related drugs (i.e. non-benzodiazepine GABA-A receptor agonists), benzodiazepines, other hypnotics and melatonin receptor agonists (see Additional file 1). A similar classification of hypnotics has previously been used . Regrettably, the National Patient Register is unsuitable for identification of poor sleep (e.g. diagnosed insomnia) as this registry is limited to International Classification of Disease (ICD) codes from inpatient and non-primary outpatient care clinics with low sensitivity to ascertain poor sleep.
To investigate potential contributing factors to poor sleep in individuals with CD we performed a post-hoc analysis adjusting for sleep apnea and RLS since these two conditions may impair sleep [18-20]. Most studies have indicated an increased risk of RLS in CD [3,21], possibly due to prevalent iron deficiency in celiac patients. There are no data on the specific risk of sleep apnea in individuals with CD. We identified RLS using relevant ICD-codes in the National Patient Register (ICD-8: 787.00; ICD-9: 333X and ICD-10: G25.8) or as prescription of dopaminergic drugs typically used in the treatment of RLS (excluding individuals with concomitant Parkinson’s disease) (see Additional file 2 for ATC-codes). Sleep apnea was identified using the National Patient Register (ICD-10: G47.3).
We used conditional logistic regression to estimate Odds Ratios (ORs) and 95% confidence intervals (CIs). Through conditional logistic regression each stratum (one individual with CD compared with his/her matched controls) was analyzed separately before a summary OR was calculated . This statistical approach eliminated the effect of sex, age, county and calendar year on our ORs. Practically, conditional logistic regression works similar as regular logistic regression except its comparison is carried out in matched sets.
We performed stratified analyses by age at CD diagnosis (<19 years, 19–39 years, 40–59 years and ≥60 years) and sex. The therapeutic indications differ between types of hypnotics. In pre-planned subanalyses we therefore estimated the association between CD and poor sleep according to the type of hypnotics used: benzodiazepine-related drugs, benzodiazepines, other hypnotics and melatonin receptor agonists. We also estimated the dose- and time-dependent association between use of hypnotics and subsequent CD: (1) when individuals had received two or at least three prescriptions of hypnotics and (2) when hypnotics had been prescribed in the last year (≤365 days) or more than one year (>365 days) before CD diagnosis, respectively.
We considered education level [4,23], as a measure of socioeconomic position, psychiatric comorbidity  and epilepsy  as potential confounders. In a subanalysis we therefore adjusted for education level using seven predefined education categories determined by Statistics Sweden. We also adjusted for epilepsy and psychiatric comorbidity, including substance use and mood disorders, using relevant ICD-codes recorded in the National Patient Register  (see Additional file 3 for ICD-codes).
We used Cox regression to estimate Hazard Ratios (HRs) and 95% CIs for poor sleep (≥2 prescriptions of hypnotics) after CD diagnosis. In this subanalysis we included 26,587 individuals with CD diagnosed between 1969 and 2008 and 133,465 matched controls with a follow-up until July 2005 (start of the Prescribed Drug Register) and with no use of hypnotics prior to CD diagnosis (see Figure 2 for overview of methodology of subanalysis). Follow-up started at time of CD diagnosis (and corresponding date in controls) and ended at time of first prescription of hypnotics (July 2005 or later), death, emigration or on December 31st 2009, whichever occurred first. In controls, follow-up could also end if the individual was diagnosed with CD. We performed stratified analyses by sex and age at CD diagnosis as well as subanalyses adjusting for education level, psychiatric comorbidity and epilepsy.
SPSS version 20.0 was used for all statistical analyses.
This study was conducted in accordance with the national and institutional standards and was approved by the Regional Ethical Vetting Board in Stockholm. Since none of the participants was contacted and individual information was anonymized prior to the analyses, informed consent was not required by the research ethics committee.
Some 40% of the individuals with CD had been diagnosed in childhood and 19% were aged 60 years or more at time of diagnosis (median age at CD diagnosis was 28 years). Most of the individuals with CD included in our main analysis were diagnosed in year 2006 and some 60% of the study participants were female (Table 1).
Overall, 129 individuals (4.4%) with CD had been treated for poor sleep, as compared with 487 matched controls (3.3%), corresponding to an OR of 1.33 (95% CI = 1.08-1.62) (adjustment for education level: adjusted OR = 1.34; 95% CI = 1.09-1.64). Because specific hypnotics may occasionally also be used in the treatment of epilepsy and various psychiatric diseases we adjusted for these comorbidities although with only a minor change in risk estimates (epilepsy: n = 207; psychiatric disease: n = 1744; adjusted OR = 1.26; 95% CI = 1.02-1.54).
The prevalence of poor sleep treated with prescribed hypnotics increased with increasing age at CD diagnosis being most common in those aged 60 years or older; and there were very few children treated for poor sleep (Table 2). Poor sleep was significantly associated with CD in individuals aged ≥60 years at time of diagnosis (OR = 1.40; 95% CI = 1.07-1.83); however the risk estimates did not attain statistical significance in the younger age groups and with overlapping CIs between age groups. Overall, poor sleep was more prevalent in females than in males (Table 2). However, there were only small differences in risk estimates for poor sleep between females (OR = 1.38; 95% CI = 1.08-1.76) and males with CD (OR = 1.21; 95% CI = 0.83-1.75) as compared with sex-matched controls.
Benzodiazepine-related drugs (e.g. Zolpidem) were the most frequently used type of hypnotics, being used by 3.8% of individuals with CD and 2.6% of controls, corresponding to an OR of 1.47 (95% CI = 1.18-1.82). There were no significant associations between CD and use of any of the remaining types of hypnotics (Table 2). We found no indication of a dose–response relationship, with similar risk estimates among individuals with at least two prescriptions of hypnotics, as among those with three or more prescriptions of hypnotics (Table 2).
To estimate a possible time-dependent association between poor sleep and subsequent CD we performed two subanalyses estimating the association between poor sleep present in the last year (≤365 days) and poor sleep present more than one year (≥366 days) before CD diagnosis. Some 4.3% of individuals with CD, as compared with some 3.2% in controls, suffered from poor sleep in the year before CD diagnosis (OR = 1.35; 95% CI = 1.10-1.65). The OR remained largely unchanged when we restricted our data to poor sleep present more than one year before CD diagnosis (OR = 1.23; 95% CI = 0.88-1.71). In Tables 3 and 4 we describe the association between CD and poor sleep according to used hypnotics subgroup and according to time to CD diagnosis.
In a number of pre-planned subanalyses we estimated the risk of poor sleep after CD diagnosis (and corresponding date in controls). During follow-up, 3323 of 26,587 individuals (12.5%) were treated for poor sleep after CD diagnosis, as compared with 13,067/133,465 (9.8%) among controls, corresponding to a HR of 1.36 (95% CI = 1.30-1.41). The increased risk of poor sleep after CD diagnosis remained largely unchanged when adjusted for education level, epilepsy or psychiatric comorbidity (adjusted HR = 1.30; 95% CI = 1.25-1.36). Furthermore, individuals with CD had a similar increased risk poor sleep in the future irrespective of age at CD diagnosis, sex and according to type of hypnotic used (Table 5).
To investigate definitive sleep disorders among individuals with CD and poor sleep we identified those with a previous diagnosis of sleep apnea or with RLS (defined by relevant ICD-code or prescription of drugs typically used in RLS). In 19/2933 individuals with CD (0.6%) a diagnosis of RLS was present, as compared with 89/14,571 (0.6%) in controls. Sleep apnea was identified in 10/2933 (0.3%) of individuals with CD and in 63/14571 (0.4%) of controls. Adjustment for sleep apnea and RLS did not influence the risk of poor sleep in CD (adjusted OR = 1.33; 95% CI = 1.08-1.63).
In this nationwide case–control study we found a modestly increased risk of poor sleep (≥2 prescriptions of hypnotics) in individuals with CD, both before and after diagnosis. This association was not influenced by adjustment for education, psychiatric disease, sleep apnea or RLS. Although, we cannot rule out that surveillance bias might have influenced our results, i.e. that individuals with poor sleep also had other complaints resulting in a CD investigation, the consistency of our results with previous data  suggests that sleep complaints may be a manifestation of CD.
Strengths and weaknesses
A strength of our study is the use of prospectively recorded exposure and outcome data, eliminating the risk of recall bias. Further, the large statistical power allowed for important subanalyses, such as examination of dose- and time-dependent associations. We were also able to adjust for several potential confounders, e.g. psychiatric comorbidities.
The use of biopsy data to identify CD brings several advantages, such as being able to identify an average CD population. The use of biopsy data also minimizes the risk of CD misclassification. In Sweden, small intestinal biopsy has long been the gold standard for diagnosing CD and previous data have shown that more than 95% of Swedish physicians perform a small-intestinal biopsy before diagnosing CD . An earlier validation study found that 95% of Swedish individuals with villous atrophy have CD .
This study has some limitations. Although it is likely that most of the individuals with repeated use of hypnotics suffer from some form of sleep complaints , such as difficulty initiating sleep, disrupted sleep and non-restorative sleep, we lack data on the specific nature of these complaints. Furthermore, previous data have shown that relatively few of those with a self-reported sleeping disorder receive treatment with hypnotics . Although the pathogenesis may be similar in mild and more severe sleep complaints, our results may primarily represent severe sleep complaints requiring hypnotic prescription. Traditionally, prescription of hypnotics in children with poor sleep has been limited, and with the short follow-up of children in this study we may have underestimated the prevalence of poor sleep in children.
To minimize the risk of false positive cases we restricted our definition of poor sleep to repeated (≥2) prescriptions of drugs that are mainly indicated for the treatment of poor sleep. We acknowledge that some of the study participants with sleep complaints may have been prescribed treatments that were not included in our definition of hypnotics, e.g. sedating antidepressants. Furthermore, non-adherence to prescribed hypnotics as well as the left truncation of exposure data with no data on hypnotic use before July 2005, may also cause misclassification of our definition of poor sleep. However, such potential misclassification should not differ by CD status and therefore not lead to spurious associations, but might instead somewhat underestimate the true effect.
We know of only one previous study on the risk of poor sleep in CD. In 2010, Zingone et al.  used the Pittsburg Sleep Quality Index and found that compared with healthy volunteers, both untreated and treated celiac patients had significantly poorer sleep quality, including prolonged sleep latency and shorter duration of sleep. In this study, including 60 patients from a tertiary centre, sleep quality was inversely associated with both mental and physical health, but was not associated with the intensity of gastrointestinal symptoms. Our results are consistent with the results of Zingone et al., although the studies differ by study design.
Poor sleep has been recognized as a manifestation of several gastrointestinal conditions [10,27] including active as well as inactive IBD . Conversely, poor sleep may have a detrimental effect on the course of both functional  and inflammatory gastrointestinal conditions, and several studies on IBD have found that sleep impairment may increase the risk of disease flares [29,30]. However, even though poor sleep has been shown to influence ubiquitous pro-inflammatory mediators  there is no plausible biological explanation for a causal association between poor sleep and development of CD. A non-causal association between CD and poor sleep is further supported by the lack of a dose- and time-dependent association in this study.
Interpretation of findings
We found an increased risk of poor sleep both before and after CD diagnosis that was not explained by psychiatric comorbidity, sleep apnea or RLS. Our results are consistent with previous data on CD and other gastrointestinal diseases suggesting that poor sleep may be a manifestation of CD. Individuals with CD suffer from numerous symptoms that may impair the quality of sleep . Furthermore, even though most CD manifestations typically resolve on a gluten-free diet, some symptoms may persist, in particularly when dietary adherence is poor . Regrettably, we lack dietary data in this study. However, in an earlier validation study off a random sample of individuals with villous atrophy, 15/86 (17%) had poor dietary adherence .
Finally, we cannot rule out that the association seen in this study was influenced by surveillance bias with an increased detection of CD in individuals with poor sleep. It is well known that individuals with poor sleep have an increased health care consumption , including increased drug use . In addition, studies have shown a mean diagnostic delay of more than five years from onset of CD symptoms to diagnosis , a time associated with an increased number of outpatients visits  and possibly an increased likelihood of receiving treatment for poor sleep. Regrettably, we lack data on clinical characteristics of those individuals with CD. However, the lack of a time-dependent association between poor sleep and CD diagnosis, argues against surveillance bias as the sole cause of our findings.
In conclusion, individuals with CD suffer an increased risk of poor sleep, measured as repeated use of prescribed hypnotics, both before and after diagnosis. The excess risk was not influenced by psychiatric comorbidities. Although, we cannot rule out that surveillance bias has contributed to our findings, our results are consistent with earlier research suggesting that poor sleep may be a manifestation of CD.
Anatomical therapeutic chemical
Inflammatory bowel disease
International Classification of Disease
Restless legs syndrome
Walker MM, Murray JA, Ronkainen J, Aro P, Storskrubb T, D’Amato M, et al. Detection of celiac disease and lymphocytic enteropathy by parallel serology and histopathology in a population-based study. Gastroenterology. 2010;139:112–9.
Ludvigsson JF, Green PH. Clinical management of coeliac disease. J Intern Med. 2011;269:560–71.
Moccia M, Pellecchia MT, Erro R, Zingone F, Marelli S, Barone DG, et al. Restless legs syndrome is a common feature of adult celiac disease. Mov Disord. 2010;25:877–81.
Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002;6:97–111.
Eder DN, Zou D, Grote L, Hedner J. Self-reported features of sleep, utilization of medical resources, and socioeconomic position: a Swedish population survey. Behav Sleep Med. 2011;9:162–72.
Sateia MJ, Nowell PD. Insomnia. Lancet. 2004;364:1959–73.
Ranjbaran Z, Keefer L, Farhadi A, Stepanski E, Sedghi S, Keshavarzian A. Impact of sleep disturbances in inflammatory bowel disease. J Gastroenterol Hepatol. 2007;22:1748–53.
Seppala M, Hyyppa MT, Impivaara O, Knuts LR, Sourander L. Subjective quality of sleep and use of hypnotics in an elderly urban population. Aging (Milano). 1997;9:327–34.
Leger D, Guilleminault C, Bader G, Levy E, Paillard M. Medical and socio-professional impact of insomnia. Sleep. 2002;25:625–9.
Parish JM. Sleep-related problems in common medical conditions. Chest. 2009;135:563–72.
Zingone F, Siniscalchi M, Capone P, Tortora R, Andreozzi P, Capone E, et al. The quality of sleep in patients with coeliac disease. Aliment Pharmacol Ther. 2010;32:1031–6.
Wettermark B, Hammar N, Fored CM, Leimanis A, Otterblad Olausson P, Bergman U, et al. The new Swedish Prescribed Drug Register–opportunities for pharmacoepidemiological research and experience from the first six months. Pharmacoepidemiol Drug Saf. 2007;16:726–35.
Ludvigsson JF, Brandt L, Montgomery SM, Granath F, Ekbom A. Validation study of villous atrophy and small intestinal inflammation in Swedish biopsy registers. BMC Gastroenterol. 2009;9:19.
Ludvigsson JF, Montgomery SM, Ekbom A, Brandt L, Granath F. Small-intestinal histopathology and mortality risk in celiac disease. JAMA. 2009;302:1171–8.
Wilén A, Johannesson I. Ett nytt system för Registret över totalbefolkningen: fler möjligheter och bättre kvalitet [English title: A new Total population register system : more possiblities and better quality]. Stockholm: Avdelningen för befolknings- och välfärdsstatistik, Statistiska centralbyrån, SCB. 2002.
WHO Collaborating Centre for Drug Statistics Methodology. ATC: Structure and principles. 2011 [cited 2012 25th January]; Available from: http://www.whocc.no/atc/structure_and_principles/.
Johnell K, Fastbom J. Gender and use of hypnotics or sedatives in old age: a nationwide register-based study. Int J Clin Pharm. 2011;33:788–93.
Kotagal S. Childhood obstructive sleep apnoea. BMJ. 2005;330:978–9.
West SD, McBeath HA, Stradling JR. Obstructive sleep apnoea in adults. BMJ. 2009;338:b1165.
Allen RP, Picchietti D, Hening WA, Trenkwalder C, Walters AS, Montplaisi J. Restless legs syndrome: diagnostic criteria, special considerations, and epidemiology. A report from the restless legs syndrome diagnosis and epidemiology workshop at the National Institutes of Health. Sleep Med. 2003;4:101–19.
Weinstock LB, Walters AS, Mullin GE, Duntley SP. Celiac disease is associated with restless legs syndrome. Dig Dis Sci. 2010;55:1667–73.
Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008.
Olen O, Bihagen E, Rasmussen F, Ludvigsson JF. Socioeconomic position and education in patients with coeliac disease. Dig Liver Dis. 2012;44:471–6.
Ludvigsson JF, Zingone F, Tomson T, Ekbom A, Ciacci C. Increased risk of epilepsy in biopsy-verified celiac disease: a population-based cohort study. Neurology. 2012;78:1401–7.
Ludvigsson JF, Reutfors J, Osby U, Ekbom A, Montgomery SM. Coeliac disease and risk of mood disorders–a general population-based cohort study. J Affect Disord. 2007;99:117–26.
Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450.
Orr WC, Chen CL. Sleep and the gastrointestinal tract. Neurol Clin. 2005;23:1007–24.
Jarrett M, Heitkemper M, Cain KC, Burr RL, Hertig V. Sleep disturbance influences gastrointestinal symptoms in women with irritable bowel syndrome. Dig Dis Sci. 2000;45:952–9.
Ananthakrishnan AN, Long MD, Martin CF, Sandler RS, Kappelman MD. Sleep disturbance and risk of active disease in patients with Crohn’s disease and ulcerative colitis. Clin Gastroenterol Hepatol. 2013; 11:965-971.
Tang Y, Preuss F, Turek FW, Jakate S, Keshavarzian A. Sleep deprivation worsens inflammation and delays recovery in a mouse model of colitis. Sleep Med. 2009;10:597–603.
Opp MR. Cytokines and sleep. Sleep Med Rev. 2005;9:355–64.
Leffler DA, Dennis M, Hyett B, Kelly E, Schuppan D, Kelly CP. Etiologies and predictors of diagnosis in nonresponsive celiac disease. Clin Gastroenterol Hepatol. 2007;5:445–50.
Hetta J, Broman JE, Mallon L. Evaluation of severe insomnia in the general population–implications for the management of insomnia: insomnia, quality of life and healthcare consumption in Sweden. J Psychopharmacol. 1999;13:S35–6.
Green PHR, Stavropoulos SN, Panagi SG, Goldstein SL, McMahon DJ, Absan H, et al. Characteristics of adult celiac disease in the USA: results of a national survey. Am J Gastroenterol. 2001;96:126–31.
Dickey W, McConnell JB. How many hospital visits does it take before celiac sprue is diagnosed? J Clin Gastroenterol. 1996;23:21–3.
This work was supported by: KM: Karolinska Institutet, The Swedish Society of Medicine; TIM: VKS: The Mayo Foundation; SK: JAM: JFL: The Swedish Society of Medicine, the Swedish Research Council, the Karolinska Institutet, and the Swedish Celiac Society.
The authors declare that they have no competing interests.
ICMJE criteria for authorship read and met: KM, TIM, VKS, SK, JAM, JFL. Agree with the manuscript’s results and conclusions: KM, TIM, VKS, SK, JAM, JFL. Designed the experiments/the study: KM, JFL. Collected data: JFL. Analyzed the data: KM. Wrote the first draft of the paper: KM. Contributed to the writing of the paper: TIM, VKS, SK, JAM, JFL. Contributed to design of study and interpretation of the data analyses: TIM, VKS, SK, JAM. Interpretation of data; approved the final version of the manuscript: KM, TIM, VKS, SK, JAM, JFL. Responsible for data integrity: KM, JFL. Supervised the project including data analyses: JFL. Obtained funding: JFL. All authors read and approved the final manuscript.
About this article
Cite this article
Mårild, K., Morgenthaler, T.I., Somers, V.K. et al. Increased use of hypnotics in individuals with celiac disease: a nationwide case-control study. BMC Gastroenterol 15, 10 (2015). https://doi.org/10.1186/s12876-015-0236-z