Abstract
Background & Aims
A few cross-sectional studies reported an increased risk of inflammatory bowel disease (IBD) among asthmatics. We conducted a population-based case-control study that applied predetermined criteria for asthma and IBD to determine whether asthma, as a T-helper 2 (Th2) condition, reduces the risk of IBD a Th1 condition.
Methods
This was a population-based case-control study using criteria-based ascertainment for IBD and asthma. Subjects were all Rochester, Minnesota, residents who had developed IBD between 1964 and 1983 and their age-and gender-matched controls, using 1:1 matching. Controls were randomly selected from the community using the Rochester Epidemiology Project database and confirmed not to have IBD. All cases and controls were merged with the database comprising all Rochester residents with or without asthma between 1964 and 1983.
Results
Of the 231 IBD cases, 55% had ulcerative colitis and the remainder had Crohn’s disease. Of these, 50.4% were male and 98.1% were Caucasians. The mean age at the time of IBD diagnosis was 33.8 years. Four cases (1.7%) had asthma prior to index date of IBD, whereas two controls (0.9%) had asthma (unadjusted odds ratio: 3.0, 95% CI: 0.31–28.84, P=0.34). Similarly, 16 IBD cases (6.9%) had asthma ever while 12 controls (5.2%) had asthma ever (unadjusted odds ratio: 1.4, 95% CI: 0.62–3.38, p=0.40).
Conclusions
Asthma as a Th2 condition does not reduce the risk of IBD as a Th1 condition. Because of the limitations of our study and others, the association between asthma and IBD needs to be further studied.
Keywords: Asthma, inflammatory bowel disease, epidemiology, risk, ulcerative colitis, Crohn’s disease, Rochester Epidemiology Project, case-control study
INTRODUCTION
Inflammatory bowel disease (IBD) is estimated to affect as many as 1.4 million persons in the United States1 and 10% of them are children.2 The prevalence of both ulcerative colitis and Crohn’s disease has been reported to increase over the past few decades.3 Indeed, the rising trends of IBD incidence and prevalence are also evident in Rochester, Minnesota.1, 4
The etiology of inflammatory bowel disease is unknown, but the condition seems to be the result of a combination of environmental and immunogenic.5, 6 Luminal antigens are believed to activate T helper 1 (Th1) cells producing tumor necrosis factor-alpha (TNF-α), interleukin (IL)-1, and IL-6 that polarize immune activity toward a pro-inflammatory response.7, 8 Although risk factors associated with IBD have been extensively studied,1, 9–12 little is known about whether individuals with certain chronic conditions such as asthma that have a Th2-predominant immune milieu have a reduced risk of developing IBD given the reciprocal inhibition of Th1 immune response by Th2 cytokines (e.g., IL-4, IL-5, and IL-13) or response.13–15 This concern becomes significant considering that asthma is the most common chronic illness in childhood and a major cause of morbidity in adults, affecting 4–17% of children and 7.3–10.1% of adults in the US.16–18 The incidence and prevalence of asthma has increased over the past decades both in the US and globally.16, 19, 20 These same trends were seen in Rochester, Minnesota.21, 22 The impact of these rising trends in asthma prevalence and incidence on the risk of IBD is not well studied. There are a few studies which have addressed this issue but also have important limitations, such as lack of case (IBD) and exposure (asthma status) ascertainment by predetermined criteria, and the cross-sectional nature of the studies, making these studies susceptible to detection bias23–25. For example, these studies used ICD codes for asthma ascertainment, and ICD code-based ascertainment for asthma may not be suitable for testing the hypothesis because a delay in the diagnosis of asthma for those who met the criteria for asthma in health care setting has been well documented.21, 26 This delay in the diagnosis of asthma might be more common among controls than cases (i.e., detection bias) leading to a positive association between asthma and IBD.
We hypothesized that individuals with asthma might have a lower risk of IBD compared to those without asthma. Our primary aim was to test this hypothesis and we addressed the limitations of previous studies by conducting a population-based case-control study using criteria-based ascertainment for asthma and IBD.
METHODS
The study was approved by the Institutional Review Boards at both Mayo Clinic and Olmsted Medical Center. We conducted a population-based case-control study that assessed the relationship between asthma and IBD using the existing data sets for IBD cases and asthma status among the residents of Rochester, Minnesota between 1964 and 1983.
Study Design
The study was designed as a population-based case-control study. Disease status was IBD cases and their 1: 1 age and gender-matched controls without IBD. Exposure was asthma status. The frequency of asthma was compared between cases and controls to determine the association between asthma and IBD.
Study Setting
Rochester, Minnesota has unique epidemiologic advantages to conduct a population-based epidemiologic study such as this. Our study setting has a virtually self-contained health care environment and unified medical record system. All medical records for the residents of Olmsted County, Minnesota are available for epidemiologic investigation through the NIH-funded Rochester Epidemiology Project.27 All diagnostic information has been indexed since 1935 using Berkson codes even before ICD codes were available.27
Case Ascertainment
Previous studies identified 286 IBD (129 Crohn’s disease and 157 ulcerative -colitis) cases between 1964 and 1983 and their index date of IBD from the Olmsted County, Minnesota, residents. The details of identification of individuals with IBD were previously reported.28, 29 Briefly, IBD cases were Olmsted county residents who had developed IBD between January 1, 1964 and December 31, 1983. Cases were ascertained by predetermined criteria for IBD which are delineated in Table 1. Previous studies used these criteria for epidemiologic investigation of IBD.30–35 Briefly, cases were required to have features consistent with IBD, after review of all available clinical, radiological, endoscopic and histologic findings. All medical records were reviewed by a gastroenterologist to confirm the diagnosis of Crohn’s disease (CD) and ulcerative colitis (UC). The index date of IBD was the time when one met criteria for IBD. For the present study, additional exclusion criteria were: 1) non-residents of Rochester because our original asthma epidemiology study identified only asthmatics from the residents of the City of Rochester, Minnesota, 2) no research authorization for medical record review, and 3) medical records without sufficient information for our study. Rochester residency was defined by living in Rochester, Minnesota, for at least one year prior to index date of IBD, to avoid patients who were seeking tertiary care from outside of Rochester. The IBD epidemiological studies done previously28, 29, 31, 34, 35 included residents of Olmsted County, not Rochester alone, and some of these studies did not require one year of residency prior to diagnosis to be included as a case.31, 35 Thus, our study excluded some of the original study cohort for IBD.
Table 1.
The diagnosis of Crohn’s disease required at least two of the following: |
|
The diagnosis of ulcerative colitis required one of the following: |
|
Patients suspected to have an infectious, antibiotic-associated, or ischemic etiology were excluded |
Identification of Controls
The eligible controls were randomly selected from the residents of Rochester, Minnesota who had never developed IBD during the study period (1964–1983) and after the study period until the end of 2007. Therefore, controls had never had IBD as of the end of 2007. After a list of potential controls was generated through the Rochester Epidemiology Project database, controls were matched to cases with regard to age (within six months for children younger than 18 years of age and within one year for adults), gender, registration year (within one year), and visit day (within one year of index date of IBD). Therefore, because IBD cases and their matched controls had similar clinic registration date (beginning point of follow-up) and visit day within one year of index date of case (end point of follow-up), we ensured that cases and controls had a similar length of follow-up period. Controls had the same exclusion criteria as cases.
Exposure (Asthma Status) Ascertainment
Once we identified confirmed IBD cases and their controls, we determined asthma status by merging the list of cases and controls with a previous study database that included all Rochester residents with asthma between 1964 and 1983. A previous study determined asthma status of all Rochester, Minnesota, residents between 1964 and 1983 based on predetermined criteria for asthma delineated in Table 2, and identified 2,499 Rochester, Minnesota, residents with asthma.21 The original study assessed the reliability of the criteria. Random samples of records were reviewed by different nurse abstractors and analyzed for inter-observer reliability and agreement rates between abstractors and a high degree of concordance was found.17 The asthma criteria have been extensively used in previous epidemiologic investigations.17, 36, 37 Determining the temporal relationship between asthma and IBD was feasible since the original study included the incidence dates for asthma in all confirmed asthma cases.
Table 2.
Patients were considered to have definite asthma if a physician had made a diagnosis of asthma or if each of the following 3 conditions were present. Patients were considered to have probable asthma if the first 2 of the following 3 conditions were present: |
|
Other Variables
We collected data pertinent to this study from medical records. These included sociodemographic variables, cigarette smoking history, history of atopic conditions other than asthma, family history of asthma, family history of atopic conditions other than asthma, medications, family history of IBD, and comorbid conditions. The co-morbid conditions examined in this study include pro-inflammatory conditions (e.g., rheumatoid arthritis, type I diabetes, psoriasis, systemic lupus erythematosus), alcohol abuse, and chronic obstructive lung disease, and immunosuppressive therapy at or prior to the index date of IBD. Atopic conditions other than asthma were defined as the physician diagnosis of atopic dermatitis/eczema or allergic rhinitis/hay fever documented in medical records.
Data Analysis
Because previous studies reported the incidence of IBD,34 we did not calculate the incidence of IBD for our study subjects. We compared the frequency of sociodemographic and other pertinent variables between cases and controls. To test the hypothesis, the primary analysis was to compare the frequency of asthma prior to the index date of IBD between IBD cases and controls and the secondary analysis was to compare the frequency of asthma ever regardless of the index date of IBD between cases and controls. To determine the association between IBD and asthma, data were fitted to a conditional logistic regression for matched analysis. The odds ratio for asthma was calculated, with 95% confidence interval, and tested for statistical significance using a two-sided alpha error of 0.05.
RESULTS
Study Subjects
The characteristics of the study subjects are shown in Table 3. There were 286 IBD cases among the Olmsted County, Minnesota, residents who met the criteria for IBD. Of these 286 IBD cases identified, 55 cases were excluded due to non-Rochester residency (n=43), no research authorization for medical record review (n=7), and no sufficient information in medical records (n=5). Of the 231 enrolled cases 50.4% were male and 98.1% were Caucasians. Fifty-five percent of them had ulcerative colitis and the rest were cases of Crohn’s disease. The median and mean age at the index date of IBD was 28.5 and 33.8 years, respectively.
Table 3.
IBD Cases (n=231) | Controls (n=231) | ||
---|---|---|---|
Age (years) | 33.8 ± 16.36 | 33.5 ± 16.26 | |
Gender (%) | |||
Male | 50.4 | 50.4 | |
Female | 49.6 | 49.6 | |
Ethnicity (%) | |||
White | 98.1 | 98.1 | |
non-white | 1.9 | 1.9 | |
Education levels (%) | |||
Less than high school | 0.6 | 5.1 | |
High school graduate | 30.8 | 36.4 | |
Some college education | 27.3 | 22.7 | |
College graduate | 23.8 | 27.8 | |
Graduate school | 17.4 | 13.1 |
Asthma and Inflammatory Bowel Disease
The mean age of patients at index date of asthma was 48.5 (SD 15.31) and 44.8 years (SD 9.07), with median of 45.5 and 45.0 in cases and controls respectively, and the mean duration between the diagnosis of asthma and that of IBD was 20.2 years (SD 19.16), with median of 16.1 years. The results on the relationship between asthma and IBD are summarized in Table 4. The results showed that asthma did not reduce the risk of IBD. Rather there might be a potentially increased risk of IBD among individuals with asthma, compared to non-asthmatics, but the results did not reach statistical significance. This was true for asthma ever (development of asthma regardless of index date of asthma). Given the small number of asthma frequency in both cases and controls and no association between asthma and IBD, we did not assess the relationship between asthma and Crohn’s disease and ulcerative colitis separately.
Table 4.
Asthma status | IBD (n=231) |
Control (n=231) |
OR (95% CI) | p-value | |
---|---|---|---|---|---|
Asthma prior to index date of IBD (%) |
|||||
Yes | 1.7 | 0.9 | 3.0 (0.31 – 28.84) | 0.34 | |
No | 98.3 | 99.1 | Referent | ||
Asthma ever (%) | |||||
Yes | 6.9 | 5.2 | 1.4 (0.62 – 3.38) | 0.40 | |
No | 93.1 | 94.8 | Referent |
Influences of Atopic-Related Variables on the Risk of IBD
We also assessed the association of IBD with atopic conditions other than asthma (atopic dermatitis/eczema or allergic rhinitis/hay fever), family history of asthma, and family history of atopic conditions other than asthma. The results are summarized in Table 5. IBD was associated with none of these variables.
Table 5.
Other atopy-related variables |
IBD (n=231) |
Control (n=231) |
OR (95% CI) | p-value | |
---|---|---|---|---|---|
Atopy before IBD (%) | |||||
Yes | 15.5 | 11.7 | 1.4 (0.81–2.38) | 0.22 | |
No | 84.5 | 88.3 | Referent | ||
Atopy ever (%) | |||||
Yes | 27.7 | 28.5 | 1.0 (0.60–1.57) | 0.90 | |
No | 72.3 | 71.5 | Referent | ||
Family history of asthma (%) |
|||||
Yes | 2.5 | 2.5 | 1.0 (0.32–3.10) | 1.00 | |
No | 87.5 | 87.5 | Referent | ||
Family history of atopic conditions other than asthma (%) |
|||||
Yes | 2.1 | 3.0 | 0.7 (0.23–2.25) | 0.56 | |
No | 87.9 | 97.0 | Referent |
Other Variables and IBD
Of the 231 IBD cases, there were 121 cases (52.4%) with a history of smoking and 84 (36.4%) without such history. In 26 cases (11.2%), smoking history was unknown. The smoking history was not associated with risk of IBD (OR: 1.11, 95% CI 0.71 –1.76, p=0.64). Also, immunosuppressive therapy prior to the index date of IBD (p = 0.34), family history of IBD (p=0.22), and alcohol abuse (p=0.2), were not associated with the risk of IBD. None of the co-morbid conditions were associated with the risk of IBD, which could be because of our small sample size of study population.
DISCUSSION
Our study findings show that a diagnosis of asthma did not reduce the risk of subsequent IBD, and individuals with asthma had a risk of IBD that was not significantly different than that of non-asthmatic individuals. Also, there was no significant relationship between atopic conditions other than asthma and IBD. Furthermore, other atopy-related variables such as family history of asthma or other atopic conditions were not associated with the risk of IBD.
In our study results, the frequency of asthma in all IBD cases prior to index date of IBD was 1.7%, compared to 0.9% in controls (OR: 3.0: 95% CI 0.31–28.84, p=0.34). The frequency of asthma ever (regardless of index date of IBD) in all IBD cases was 6.9% whereas that in controls was 5.2% (OR 1.4: 95 % CI 0.62–3.38). Similarly, this was true for other atopic conditions (15.6% vs. 11.7%, respectively, p=0.22). Therefore, in contrast with our hypothesis, even if asthma and other atopic conditions are Th2-predominant immune conditions and IBD is a Th1 or proinflammatory condition, this did not translate into an inverse relationship between asthma or other atopic condition and IBD. Rather the frequency of asthma or other atopic conditions in IBD cases tended to be higher than that in controls, suggesting a potentially increased risk of IBD among individuals with asthma or other atopic conditions. Along these lines, the family history of asthma or atopic conditions was not related to the risk of IBD either. Our post-hoc power calculation suggests that we had 80% power to detect an odds ratio of 2.65 as an effect size. Thus, our study may have had limited statistical power to address the study aim given the reported effect sizes on the association between asthma and IBD in the literature. Overall, our data suggest that neither asthma nor other atopic conditions reduces the risk of IBD, but the potential possibility of increasing the risk of IBD by asthma status needs to be carefully examined in a larger study with similar study design to ours.
There is no study with which we can directly compare our results due to differences in study design and ascertainment criteria for asthma and IBD. A few studies investigated the epidemiologic relationship between IBD and asthma. Bernstein et al reported that the prevalence of asthma in ulcerative colitis cases and their controls were 21.2% and 15.1%, respectively (prevalence ratio for asthma:1.53, 95% CI: 1.41–1.66).23 They also found a similar trend in the relationship between Crohn’s disease and asthma, with prevalence of 19.9% and 15.7% in cases and controls, respectively (prevalence ratio for asthma: 1.34, 95% CI: 1.24–1.46). Their study was designed as a population-based cross-sectional study and utilized the Manitoba Health administrative database and ascertained IBD and asthma status based on ICD-9 code. Weng et al conducted another population-based cross-sectional study in the United Stated and found that IBD patients were more likely to have asthma, compared to controls (OR for asthma: 1.5, 95% CI 1.5–2.3).25 This study also utilized administrative data and ICD code for determining for IBD and asthma status. Cohen et al examined the relationship between atopic dermatitis and IBD by conducting a population based cross-sectional study which utilized ICD codes for atopic dermatitis and IBD.24 They found an increased risk of IBD among individuals with atopic dermatitis (OR:1.5, 95%CI: 1.29–1.78). These cross-sectional studies are susceptible to detection bias, a bias that arises from differential identification of outcome events by patients, clinicians or examiners. In these studies, individuals with asthma might have sought medical care more frequently or earlier than those without asthma, and thus, asthmatics might be more likely to reveal symptoms of IBD to clinicians and reach the diagnosis of IBD than non-asthmatics. Likewise, asthma symptoms in individuals with IBD might be more likely to be detected compared to those without IBD due to the potential IBD-related pulmonary symptoms or increased access to medical cares. Specifically, ICD code-based ascertainment of asthma may not be suitable for addressing the study aim because a significant proportion of individuals who met the criteria for asthma (15–65%) have been reported to have a delay in the diagnosis of asthma.21, 26 Detection bias can arise if this delay in the diagnosis of asthma (i.e., ICD code) occurs disproportionately more among controls than cases. In other words, asthma frequency by ICD code is likely to be lower in controls than cases and it might result in a positive association between IBD and asthma. Therefore, the degree of detection bias cannot be assessed in a cross-sectional study and none of these studies adequately addressed this concern. The epidemiologic relationship between asthma and IBD, particularly a possibility of an increased risk of IBD among individuals with asthma, needs to be further studied in a large-scale population-based study with similar study design to ours.
The main strengths of our study include the population-based study design, ascertainment of IBD and asthma by predetermined criteria rather than ICD code or self-report and epidemiologic advantages of our study setting with self-contained health care environment and unified medical record systems among health care providers in the community. The limitations of our study include the inherent limitations of retrospective study, predominantly Caucasian population, and a relatively smaller sample size compared to previous studies.
In conclusion, given the burgeoning literature on the potential reciprocal relationship between Th1 vs Th2 immune responses, our study results reassure patients that neither asthma nor other atopic conditions influence the future risk of developing IBD. Our study results also mitigate the public health community’s concern about the impact of the rising trend of asthma over the past decades on the risk of other chronic conditions such as IBD. However, because of the limitations of our study and others, the epidemiologic association between asthma and IBD needs to be further studied in the future.
Acknowledgement
We thank Mrs. Kathy Distad and other staff of the Pediatric Asthma Epidemiology Research Unit for their assistance and support. This work was made possible by the Rochester Epidemiology Project (R01-AR30582) from the National Institute of Arthritis and Musculoskeletal and Skin Diseases.
Abbreviations
- IBD
Inflammatory bowel disease
- OR
Odds ratios
- 95% CI
95% confidence interval
Footnotes
Dr. Fenta participated in the protocol writing, data collection, entry , interpretation of the results, and drafted the manuscript.
Dr. Tello performed data collection, entry, and interpretation of the results.
Dr. Jung participated in the study design, protocol writing, study supervision, and interpretation of the results.
Dr. Urm participated in statistical analysis and interpretation of the results.
Dr. Loftus participated in the study design, interpretation of the results, and manuscript writing.
Dr. Yawn participated in the study design, interpretation of the results, and manuscript writing.
Mr. Li carried out statistical analysis and interpretation of the results.
Dr. Juhn as the PI of the study obtained the funding and designed the study, wrote the study protocol, supervised the study procedures, interpreted the results, and manuscript drafting.
Presented in part at the Annual Meeting of the American Thoracic Society, May 17, 2009, San Diego, California (Am J Respir Crit Care Med 2009;179:A2181).
All authors have no conflicts of interest to disclose.
REFERENCES
- 1.Loftus EV., Jr Clinical epidemiology of inflammatory bowel disease: Incidence, prevalence, and environmental influences. Gastroenterology. 2004;126:1504–1517. doi: 10.1053/j.gastro.2004.01.063. [DOI] [PubMed] [Google Scholar]
- 2.The Crohn's and Colitis Foundation of America (CCFA) Press Epidemiology Facts. 2005;Volume 2009 [Google Scholar]
- 3.Nguyen GC, Tuskey A, Dassopoulos T, Harris ML, Brant SR. Rising hospitalization rates for inflammatory bowel disease in the United States between 1998 and 2004. Inflamm Bowel Dis. 2007;13:1529–1535. doi: 10.1002/ibd.20250. [DOI] [PubMed] [Google Scholar]
- 4.Ingle S, Loftus E, Tremaine W. Increasing incidence and prevalence of inflammatory bowel disease in Olmsted County, Minnesota, during 2001–2004 (abstr) Gastroenterology. 2007;132:A19–A20. [Google Scholar]
- 5.Karlinger K. The epiedemiology and the pathogenesis of inflammatory bowel disease. Euro J Radiology. 2000:154–167. doi: 10.1016/s0720-048x(00)00238-2. [DOI] [PubMed] [Google Scholar]
- 6.Hecht GA. Inflammatory bowel disease--live transmission. N Engl J Med. 2008;358:528–300. doi: 10.1056/NEJMcibr0707718. [DOI] [PubMed] [Google Scholar]
- 7.Mahida YR, Rolfe VE. Host-bacterial interactions in inflammatory bowel disease. Clin Sci (Lond) 2004;107:331–341. doi: 10.1042/CS20040136. [DOI] [PubMed] [Google Scholar]
- 8.Guamer F. Role of intestinal flora in health and disease. Nutr Hosp. 2007;22 Suppl 2:14–19. [PubMed] [Google Scholar]
- 9.Andersson RE, Olaison G, Tysk C, Ekbom A. Appendectomy is followed by increased risk of Crohn's disease. Gastroenterology. 2003;124:40–46. doi: 10.1053/gast.2003.50021. [DOI] [PubMed] [Google Scholar]
- 10.Godet PG, May GR, Sutherland LR. Meta-analysis of the role of oral contraceptive agents in inflammatory bowel disease. Gut. 1995;37:668–673. doi: 10.1136/gut.37.5.668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hanauer SB. Inflammatory bowel disease: epidemiology, pathogenesis, and therapeutic opportunities. Inflamm Bowel Dis. 2006;12 Suppl 1:S3–S9. doi: 10.1097/01.mib.0000195385.19268.68. [DOI] [PubMed] [Google Scholar]
- 12.Koutroubakis IE, Vlachonikolis IG. Appendectomy and the development of ulcerative colitis: results of a metaanalysis of published case-control studies. Am J Gastroenterol. 2000;95:171–176. doi: 10.1111/j.1572-0241.2000.01680.x. [DOI] [PubMed] [Google Scholar]
- 13.Greenfeder S, Umland SP, Cuss FM, Chapman RW, Egan RW. Th2 cytokines and asthma. The role of interleukin-5 in allergic eosinophilic disease. Respir Res. 2001;2:71–79. doi: 10.1186/rr41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chatila TA. Interleukin-4 receptor signaling pathways in asthma pathogenesis. Trends Mol Med. 2004;10:493–499. doi: 10.1016/j.molmed.2004.08.004. [DOI] [PubMed] [Google Scholar]
- 15.Kuperman DA, Huang X, Koth LL, Chang GH, Dolganov GM, Zhu Z, Elias JA, Sheppard D, Erle DJ. Direct effects of interleukin-13 on epithelial cells cause airway hyperreactivity and mucus overproduction in asthma. Nat Med. 2002;8:885–889. doi: 10.1038/nm734. [DOI] [PubMed] [Google Scholar]
- 16.Forecasted state-specific estimates of self-reported asthma prevalence-United States. MMWR-Vorbidity & Mortality weekly report. 1998;Volume 47:1022–1025. [PubMed] [Google Scholar]
- 17.Beard CM, Yunginger JW, Reed CE, O'Connell EJ, Silverstein MD. Interobserver variability in medical record review: an epidemiological study of asthma. J Clin Epidemiol. 1992;45:1013–1020. doi: 10.1016/0895-4356(92)90117-6. [DOI] [PubMed] [Google Scholar]
- 18.Lethbridge-Çejku MVJ. Statistics NCfH. ed. 2005. Summary health statistics for US adults: National Health Interview Survey, 2003. [PubMed] [Google Scholar]
- 19.Asher MI, Montefort S, Bjorksten B, Lai CK, Strachan DP, Weiland SK, Williams H. Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys. Lancet. 2006;368:733–743. doi: 10.1016/S0140-6736(06)69283-0. [DOI] [PubMed] [Google Scholar]
- 20.Bloom B, Dey AN. Summary health statistics for U.S. children: National Health Interview Survey, 2004. Vital Health Stat 10. 2006:1–85. [PubMed] [Google Scholar]
- 21.Yunginger JW, Reed CE, O'Connell EJ, Melton LJ, 3rd, O'Fallon WM, Silverstein MD. A community-based study of the epidemiology of asthma. Incidence rates, 1964–1983. Am Rev Respir Dis. 1992;146:888–894. doi: 10.1164/ajrccm/146.4.888. [DOI] [PubMed] [Google Scholar]
- 22.Yawn BP, Wollan P, Kurland M, Scanlon P. A longitudinal study of the prevalence of asthma in a community population of school-age children. Journal of Pediatrics. 2002;140:576–581. doi: 10.1067/mpd.2002.123764. [DOI] [PubMed] [Google Scholar]
- 23.Bernstein CN, Wajda A, Blanchard JF. The clustering of other chronic inflammatory diseases in inflammatory bowel disease: a population-based study. Gastroenterology. 2005;129:827–836. doi: 10.1053/j.gastro.2005.06.021. [DOI] [PubMed] [Google Scholar]
- 24.Cohen R, Robinson D, Jr, Paramore C, Fraeman K, Renahan K, Bala M. Autoimmune disease concomitance among inflammatory bowel disease patients in the United States, 2001–2002. Inflamm Bowel Dis. 2008;14:738–743. doi: 10.1002/ibd.20406. [DOI] [PubMed] [Google Scholar]
- 25.Weng X, Liu L, Barcellos LF, Allison JE, Herrinton LJ. Clustering of inflammatory bowel disease with immune mediated diseases among members of a northern california-managed care organization. Am J Gastroenterol. 2007;102:1429–1435. doi: 10.1111/j.1572-0241.2007.01215.x. [DOI] [PubMed] [Google Scholar]
- 26.Molis W, Bagnieski S, Weaver A, Jacobson R, Juhn Y. Timeliness of Diagnosis of Asthma in Children and its Predictors Allergy. 2008;63:1529–1535. doi: 10.1111/j.1398-9995.2008.01749.x. [DOI] [PubMed] [Google Scholar]
- 27.Melton L. History of the Rochester Epidemiology Project. Mayo Clinic Proc. 1996;71:266–274. doi: 10.4065/71.3.266. [DOI] [PubMed] [Google Scholar]
- 28.Gollop JH, Phillips SF, Melton LJ, 3rd, Zinsmeister AR. Epidemiologic aspects of Crohn's disease: a population based study in Olmsted County, Minnesota, 1943–1982. Gut. 1988;29:49–56. doi: 10.1136/gut.29.1.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Stonnington CM, Phillips SF, Melton LJ, 3rd, Zinsmeister AR. Chronic ulcerative colitis: incidence and prevalence in a community. Gut. 1987;28:402–409. doi: 10.1136/gut.28.4.402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Langholz E. Ulcerative colitis. An epidemiological study based on a regional inception cohort, with special reference to disease course and prognosis. Dan Med Bull. 1999;46:400–415. [PubMed] [Google Scholar]
- 31.Loftus EV, Jr, Silverstein MD, Sandborn WJ, Tremaine WJ, Harmsen WS, Zinsmeister AR. Crohn's disease in Olmsted County, Minnesota, 1940–1993: incidence, prevalence, and survival. Gastroenterology. 1998;114:1161–1168. doi: 10.1016/s0016-5085(98)70421-4. [DOI] [PubMed] [Google Scholar]
- 32.Munkholm P. Crohn's disease--occurrence, course and prognosis. An epidemiologic cohort-study. Dan Med Bull. 1997;44:287–302. [PubMed] [Google Scholar]
- 33.Vind I, Riis L, Jess T, Knudsen E, Pedersen N, Elkjaer M, Bak Andersen I, Wewer V, Norregaard P, Moesgaard F, Bendtsen F, Munkholm P. Increasing incidences of inflammatory bowel disease and decreasing surgery rates in Copenhagen City and County, 2003–2005: a population-based study from the Danish Crohn colitis database. Am J Gastroenterol. 2006;101:1274–1282. doi: 10.1111/j.1572-0241.2006.00552.x. [DOI] [PubMed] [Google Scholar]
- 34.Loftus CG, Loftus EV, Harmsen WS, Zinsmeister AR, Tremaine WJ, Melton LJ, Sandborn WJ. Update on the incidence and prevalence of crohn's disease and ulcerative colitis in olmsted county, Minnesota, 1940–2000. Inflammatory bowel diseases. 2007;13:254–261. doi: 10.1002/ibd.20029. [DOI] [PubMed] [Google Scholar]
- 35.Loftus EJ, Silverstein M, Sandborn W, Tremaine W, Harmsen W, Zinsmeister A. Ulcerative colitis in Olmsted County, Minnesota, 1940–1993: incidence, prevalence, and survival. Gut. 2000;46:336–343. doi: 10.1136/gut.46.3.336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bauer BA, Reed CE, Yunginger JW, Wollan PC, Silverstein MD. Incidence and outcomes of asthma in the elderly. A population-based study in Rochester, Minnesota. Chest. 1997;111:303–310. doi: 10.1378/chest.111.2.303. [DOI] [PubMed] [Google Scholar]
- 37.Yawn BP, Yunginger JW, Wollan PC, Reed CE, Silverstein MD, Harris AG. Allergic rhinitis in Rochester, Minnesota residents with asthma: frequency and impact on health care charges. J Allergy Clin Immunol. 1999;103:54–59. doi: 10.1016/s0091-6749(99)70525-7. [DOI] [PubMed] [Google Scholar]