Case Control Study Open Access
Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 21, 2016; 22(15): 4002-4008
Published online Apr 21, 2016. doi: 10.3748/wjg.v22.i15.4002
Socio-economic status and lifestyle factors are associated with achalasia risk: A population-based case-control study
Helen G Coleman, Ronan T Gray, Kar W Lau, Liam J Murray, Cancer Epidemiology and Health Services Research Group, Centre for Public Health, Queen’s University Belfast, Belfast BT12 6BJ, United Kingdom
Conall McCaughey, Peter V Coyle, Regional Virus Laboratory, Royal Victoria Hospital, Belfast, Belfast BT12 6BJ, United Kingdom
Brian T Johnston, Department of Gastroenterology, Royal Victoria Hospital, Belfast, Belfast BT12 6BJ, United Kingdom
Author contributions: Coyle PV, McCaughey C, Murray LJ and Johnston BT were involved in the study design; Lau KW oversaw the recruitment of patients and controls; Coleman HG conducted the statistical data analysis; Coleman HG and Gray RT drafted the first version of the manuscript; all authors contributing to the editing of the final manuscript and approved its submission.
Institutional review board statement: This study was ethically approved by the Office for Research Ethics Committees Northern Ireland (ORECNI: 05/NIR02/132).
Informed consent statement: Written informed consent was obtained from all study participants.
Conflict-of-interest statement: No potential conflicts of interest relevant to this article were reported.
Data sharing statement: For data sharing queries, please contact the corresponding author.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Helen G Coleman, Cancer Epidemiology and Health Services Research Group, Centre for Public Health, Queen’s University Belfast, Grosvenor Rd, Belfast BT12 6BJ, United Kingdom. h.coleman@qub.ac.uk
Telephone: +44-2890-978953 Fax: +44-2890-635900
Received: December 11, 2015
Peer-review started: December 14, 2015
First decision: December 30, 2015
Revised: January 14, 2016
Accepted: January 30, 2016
Article in press: January 30, 2016
Published online: April 21, 2016

Abstract

AIM: To evaluate the association between various lifestyle factors and achalasia risk.

METHODS: A population-based case-control study was conducted in Northern Ireland, including n = 151 achalasia cases and n = 117 age- and sex-matched controls. Lifestyle factors were assessed via a face-to-face structured interview. The association between achalasia and lifestyle factors was assessed by unconditional logistic regression, to produce odds ratios (OR) and 95% confidence interval (CI).

RESULTS: Individuals who had low-class occupations were at the highest risk of achalasia (OR = 1.88, 95%CI: 1.02-3.45), inferring that high-class occupation holders have a reduced risk of achalasia. A history of foreign travel, a lifestyle factor linked to upper socio-economic class, was also associated with a reduced risk of achalasia (OR = 0.59, 95%CI: 0.35-0.99). Smoking and alcohol consumption carried significantly reduced risks of achalasia, even after adjustment for socio-economic status. The presence of pets in the house was associated with a two-fold increased risk of achalasia (OR = 2.00, 95%CI: 1.17-3.42). No childhood household factors were associated with achalasia risk.

CONCLUSION: Achalasia is a disease of inequality, and individuals from low socio-economic backgrounds are at highest risk. This does not appear to be due to corresponding alcohol and smoking behaviours. An observed positive association between pet ownership and achalasia risk suggests an interaction between endotoxin and viral infection exposure in achalasia aetiology.

Key Words: Achalasia, Risk factors, Epidemiology, Lifestyle, Socio-economic status

Core tip: Little is known about achalasia aetiology, with roles suggested for genetic conditions, auto-immune diseases and infectious agents. This population-based case-control study investigated lifestyle and household factors in adulthood and childhood in relation to achalasia risk, for the first time. Results indicate that achalasia is a disease of inequality, and individuals from low socio-economic backgrounds are at highest risk. The burden of achalasia in lower socio-economic groups cannot be explained by smoking or alcohol intake. Pet ownership was associated with a two-fold increased risk of achalasia. Further studies of environmental factors and achalasia risk are warranted.



INTRODUCTION

Oesophageal achalasia is one of the most poorly understood diseases of the digestive tract. Achalasia is a neurodegenerative motility disorder that results in loss of normal lower oesophageal sphincter function and aperistalsis[1]. Oesophageal manometry is regarded as the ultimate diagnostic investigation for this condition[1]. Relatively little attention has been given to understanding the underlying aetiology of this disease, and more efforts are needed to ultimately achieve prevention of achalasia.

Although achalasia remains a rare condition, a recent review by our working group suggests that there has been an approximate two-fold increase in incidence since the mid-1980s up to the mid-2000s[2]. Reports from Canada[3] and Italy[4] estimate that achalasia incidence is now approximately 1.6 per 100000 population. Such a rise in incidence could well reflect changes in diagnostic criteria and increased awareness of achalasia amongst clinicians, however it could also point to a role for changing environmental risk factors over this timeframe.

Previously suggested risk factors for achalasia include genetic and autoimmune conditions[5,6], and infections such as the Herpes Simplex Virus (HSV-1)[7,8]. To our knowledge, no lifestyle factors have been investigated in relation to achalasia development. Associations and biologically plausible mechanisms have been reported for lifestyle factors in the role of other neurodegenerative disorders, such as Alzheimer’s disease, motor neuron disease and multiple sclerosis[9-11].

Further, the timing of exposure to environmental risk factors may be important in disease aetiology. Childhood factors have been associated with risk of other oesophageal conditions in later life, including oesophagitis, Barrett’s oesophagus and oesophageal adenocarcinoma in a series of Danish population-based studies[12-14]. Exposure to infectious diseases during childhood has also been speculated to contribute to the neurodegenerative Parkinson’s disease risk in adulthood[15]. Given the broad age at diagnosis observed in achalasia cases[16,17], it would be interesting to study the potential role of childhood factors in achalasia development.

The aim of this novel population-based case-control study was to evaluate the association between exposure to environmental factors throughout the lifespan and risk of oesophageal achalasia.

MATERIALS AND METHODS
Subject recruitment

Patients were identified by records of all individuals undergoing oesophageal manometry performed in the Gastrointestinal Physiology Unit, Royal Victoria Hospital, Belfast, Northern Ireland, United Kingdom between 1989-2006. This was the regional centre for oesophageal manometry in Northern Ireland and diagnosed n = 304 primary achalasia patients, aged 16 years or older, during that timeframe. Of these, n = 202 cases were invited to participate in the study and n = 151 cases were successfully recruited (response rate = 74.8%). Population-based controls were identified via General Practitioner practices throughout Northern Ireland, and n = 117 controls took part in the study from the total n = 247 controls invited (response rate: 47.4%). Controls were frequency-matched within groups defined by age (< 50, 50-69, ≥ 70 years) and sex to their corresponding cases, therefore similarities in age and sex distribution reflect this study design. This study was ethically approved by the Office for Research Ethics Committees Northern Ireland (ORECNI). Written informed consent was obtained from all study participants.

Assessment of clinical and demographic factors

Information on demographic data, lifestyle factors, past medical history, family history, childhood factors, medications and previous achalasia treatment, were collected by an interviewed questionnaire, administered by one of two trained interviewers who were not blinded to the case-control status of individuals. Socio-economic status was derived from occupation data, according to National Statistics Socio-Economic Classification as used by the Office for National Statistics[18]. Briefly in this classification system, professional, employer or manager occupations are considered to be high class; intermediate or junior non-manual occupations are categorised as medium class; skilled, semi-skilled or unskilled manual occupations are considered to be low class; students or not employed are considered as unclassified[18].

Statistical analysis

Statistical analysis comparing continuous or categorical variables between achalasia cases and controls was conducted using an independent t-test or chi-squared test, respectively. Odds ratios (OR) and corresponding 95% confidence interval (CI) were generated using unconditional logistic regression models to assess achalasia risk according to childhood and adult socio-demographic and lifestyle factors. Both unadjusted and adjusted regression models were performed, with the latter adjusting for age, sex, and socio-economic status (for adulthood factors) as potential confounders. Interaction between socio-economic status, smoking and alcohol status to influence achalasia risk was assessed using the likelihood ratio test. All statistical analysis was performed using Stata Version 11.2 (StataCorp, College Station, TX, United States).

RESULTS

Comparison of characteristics between achalasia cases and controls is shown in Table 1. Mean age at interview was 55.9 years for achalasia cases, of whom 50% were male. Cases were, on average, recruited 8.3 years after their incident diagnosis of achalasia. No significant differences in education, occupation or previous medical history were detected between cases and controls (Table 1), with exception of a family history of achalasia which was more prevalent in achalasia cases.

Table 1 Descriptive characteristics of achalasia cases and matched controls n (%).
CharacteristicsAchalasia casesControls
n = 151n = 117P value
Age, yr (mean ± SD)55.9 ± 17.155.8 (16.0)0.97
Age at diagnosis (mean ± SD)47.6 ± 17.8//
Sex
Male76 (50.3)55 (47.0)
Female75 (49.7)62 (53.0)0.59
Previous medical history
Ischaemic heart disease12 (8.0)7 (6.0)0.53
Diabetes Mellitus4 (2.7)3 (2.6)0.97
Hypertension27 (17.9)17 (14.5)0.46
Hypercholesterolaemia16 (10.6)12 (10.3)0.93
Asthma/COPD11 (7.3)4 (3.4)0.17
Gastritis/Peptic ulcer19 (12.6)8 (6.8)0.12
Autoimmune/Connective Tissue Disorders1 (0.7)1 (0.9)0.86
Family history of achalasia5 (3.3)0 (0.0)0.05
Number of years in education (mean, SD)12.5 (3.3)12.8 (3.1)0.34
Occupation class
High39 (25.8)45 (38.5)
Medium47 (31.1)32 (27.4)
Low55 (36.4)34 (29.1)
Not classified10 (6.6)6 (5.1)0.17

Table 2 shows the association between childhood household factors and achalasia risk. No significant associations were detected for number of rooms, household density or toilet location in the childhood home, and risk of achalasia. A non-significant inverse association was observed between the presence of smokers in the childhood home, and achalasia risk (OR = 0.85, 95%CI: 0.48-1.50). Non-significant increased risks of achalasia were also noted for childhood homes in which a pet was present (OR = 1.17, 95%CI: 0.67-2.04), and for low compared with high socio-economic households, as determined by occupation of head of household (OR = 1.64, 95%CI: 0.78-3.67). Having been breastfed did not seem to influence achalasia risk. Further adjustment for age and sex had little impact on observed associations.

Table 2 Early life and childhood household factors and achalasia risk n (%).
Early life risk factorsAchalasia casesControlsUnadjustedAdjusted2
n = 151n = 117OR (95%CI)OR (95%CI)
Number of rooms
< 671 (47.0)54 (46.2)11
≥ 680 (53.0)63 (53.8)0.97 (0.60-1.57)0.96 (0.59-1.57)
Number of bedrooms
< 335 (23.2)29 (24.8)11
≥ 3116 (76.8)88 (75.2)1.09 (0.62-1.92)1.09 (0.61-1.96)
Household density
< 255 (36.4)44 (37.6)11
≥ 296 (63.6)73 (62.4)1.05 (0.64-1.73)1.05 (0.64-1.73)
Toilet location
Indoors85 (56.3)73 (62.9)11
Outdoor66 (43.7)43 (37.1)1.32 (0.80-2.16)1.55 (0.85-2.82)
Presence of smokers
No38 (25.2)26 (22.2)11
Yes113 (74.8)91 (77.8)0.85 (0.48-1.50)0.85 (0.48-1.52)
Presence of any pets in the house1
No36 (23.8)31 (26.5)11
Yes115 (76.2)86 (73.5)1.15 (0.66-2.31)1.17 (0.67-2.04)
Occupation of head of household
High15 (9.9)18 (15.4)11
Medium56 (37.1)40 (34.2)1.68 (0.76-3.73)1.70 (0.77-3.79)
Low78 (51.7)57 (48.7)1.64 (0.76-3.53)1.69 (0.78-3.67)
Unclassified2 (1.3)2 (1.7)1.20 (0.15-9.57)1.25 (0.15-10.23)
Breastfed
No63 (41.7)48 (41.0)11
Yes61 (40.4)51 (43.6)0.91 (0.54-1.55)0.89 (0.49-1.59)
Unknown27 (17.9)18 (15.4)1.14 (0.56-2.31)1.12 (0.54-2.31)

The association between achalasia risk and various adult socio-demographic and lifestyle factors is shown in Table 3. The presence of pets in the house was associated with an almost two-fold increased risk of achalasia (OR = 1.92, 95%CI: 1.12-3.31). Years of education completed were unrelated to achalasia risk. However, individuals who had low-class occupations were at the highest risk of achalasia (OR = 1.88, 95%CI: 1.02-3.45), inferring that high-class occupation holders have a reduced risk of achalasia. A history of foreign travel, a lifestyle factor linked upper socio-economic class, was also associated with a reduced risk of achalasia (OR = 0.59, 95%CI: 0.35-0.99).

Table 3 Early life and childhood household factors and achalasia risk n (%).
Risk factorsAchalasia casesControlsUnadjusted OR (95%CI)Adjusted OR1
n = 151n = 117(95%CI)
Occupation class
High39 (25.8)45 (38.5)11
Medium47 (31.1)32 (27.4)1.69 (0.91-3.15)1.75 (0.93-3.29)
Low55 (36.4)34 (29.1)1.87 (1.02-3.42)1.88 (1.02-3.45)
Unclassified10 (6.6)6 (5.1)1.92 (0.64-5.77)1.90 (0.59-6.14)
Years in education
< 13 yr91 (60.3)64 (54.7)11
≥ 13 yr60 (39.7)53 (45.3)0.80 (0.49-1.30)0.92 (0.52-1.61)
Smoking status
Non-smoker91 (60.3)61 (52.1)11
Former smoker36 (23.8)28 (23.9)0.86 (0.48-1.56)0.82 (0.44-1.54)
Current smoker24 (15.9)28 (23.9)0.57 (0.30-1.08)0.47 (0.24-0.92)
Alcohol consumer
No58 (38.4)31 (26.5)11
Yes93 (61.6)86 (73.5)0.58 (0.34-0.98)0.55 (0.32-0.95)
Combined alcohol/smoking status
Non-drinker and Non-smoker46 (30.5)20 (17.1)11
Drinks alcohol or ever smoker57 (37.8)52 (44.4)0.48 (0.25-0.91)0.48 (0.25-0.93)
Drinks alcohol and ever smoker48 (31.8)45 (38.5)0.46 (0.24-0.90)0.41 (0.21-0.83)
History of foreign travel outside Europe
No96 (63.6)58 (49.6)11
Yes55 (36.4)59 (50.4)0.56 (0.34-0.92)0.59 (0.35-0.99)
Presence of any pets in the house
No37 (24.5)44 (37.6)11
Yes114 (75.5)73 (62.4)1.86 (1.10-3.14)1.92 (1.12-3.31)

Smoking and alcohol consumption carried significant reduced risks of achalasia, even after adjustment for socio-economic status (Table 3). The potential interaction between alcohol, smoking and socio-economic status to influence achalasia risk was further explored in stratified analysis (data not shown). Reduced statistical power resulted in a lack of statistically significant findings. However, the reduced risk of achalasia for alcohol consumers and ever smokers remained evident across the three socio-economic groupings (OR = 0.39, 0.61 and 0.44). The reduced risk appeared to be somewhat driven by smoking in low-class occupation holders, and alcohol consumption in high-class occupation holders, however formal tests for interaction were not statistically significant.

DISCUSSION

The results from this novel population-based study suggest that achalasia disproportionately affects individuals from lower socio-economic backgrounds. Smoking and alcohol intake do not explain this inequality in achalasia risk. Pet ownership in adulthood was associated with an increased risk of achalasia, and raises interesting hypotheses about potential explanatory biological mechanisms for achalasia. None of the childhood factors evaluated were associated with achalasia risk, suggesting that early life exposures do not have a role in achalasia development.

This is the first study to assess the relationship between socio-economic status and achalasia. Our findings indicate an increased risk of developing achalasia in individuals with lower socio-economic status. Our results also demonstrate that this is not explained by the “usual” factors associated with lower socio-economic status, namely smoking and alcohol. Instead these factors carry a reduced risk. There is little evidence of biologically plausible mechanisms to link smoking and alcohol to a reduced risk of achalasia - in contrast, nicotine exposure is known to induce loss of lower oesophageal sphincter function[19]. The findings for smoking and alcohol are highly likely to reflect reverse causation bias, since the majority of achalasia cases in this study were prevalent cases who may have avoided these lifestyle factors to alleviate symptoms. However, such bias is unlikely to have occurred to the extent whereby it is masking an increased risk of achalasia, and recall bias is unlikely to influence the other characteristics enquired about in this study. There are several other plausible associations for the link with lower socio-economic status which merit further exploration.

Firstly, lower socio-economic status is associated with increased gastro-intestinal infection risk in this region[20]. One hypothesis for the aetiology of achalasia is of a neurotropic virus showing predilection for the squamous mucosa of the oesophagus and targeting the myenteric plexus. There has been some evidence supporting this link in the herpes virus family[8,21] and a large Spanish study has recently demonstrated increased herpes zoster prevalence/incidence in subjects with lower socio-economic status[22]. Secondly, autoimmunity has been suggested as a factor in the development of achalasia. Although our study found no significant increase in auto-immune diseases among achalasia patients, this has been demonstrated previously[6] and there is strong evidence linking auto-immune disease and lower socio-economic status[23]. Thirdly, the direct association with occupation (but not education) as a reflection of socio-economic status may reflect exposure to occupational hazards that play a role in achalasia aetiology, for example metal exposure has been linked with Parkinson’s disease[15]. Finally, a hypothesis that has not previously been suggested relates to perinatal factors. Low birth weight has been associated with other oesophageal diseases[12-14] and is linked with lower socio-economic status[24]. Recent epigenetic studies have demonstrated methylation changes in the perinatal period, linked to lower socio-economic status and low birth weight babies[25]. The authors suggest that this is a key element in the development of subsequent disease in adulthood[25].

We were unable to assess birth weight and other perinatal factors in this study. However, we were able to evaluate other early childhood factors in relation to achalasia risk. No associations were identified between household density, toilet location or history of having been breastfed and achalasia risk. This contrasts with hypotheses that household crowding and resultant earlier/more frequent exposure to infections and antigens could protect against immune-related diseases, as has been noted for Type 1 diabetes[26,27]. The lack of association suggests that, even if a role for infectious agents does exist for achalasia, the timing of exposure in early childhood may be irrelevant. Three other childhood factors investigated also showed non-significant associations with achalasia, but the direction of associations parallel those seen for adult lifestyle factors. This includes the presence of smokers in the childhood home, which was non-significantly inversely associated with risk, while lower socio-economic occupations held by the head of the childhood household and owning a pet in childhood both carried a non-significant increased risk of achalasia.

Pet ownership in adulthood was associated with an increased risk of achalasia in this study. Evidence to suggest an association between pet ownership and the incidence of other immune-related conditions, such as rheumatoid arthritis and multiple sclerosis (MS), is conflicting[28-32]. Pet ownership may increase exposure to parasitic infections[29] , and while secondary achalasia is due to parasitic infection with Trypanosoma cruzi[33], there is no evidence to suggest a direct parasitic cause in primary achalasia. Finally, households with resident pets have higher levels of pro-inflammatory endotoxin in the house dust[34]. Endotoxin is speculated to be hypoallergenic and thereby protect against atopic conditions[34]. However, as part of a separate mechanistic pathway, endotoxins may interact with viral infection to induce an inflammatory response[35]. For example, lipopolysaccharide can increase expression of a survival protein (BAG3) that regulates the replication of HSV-1 and Varicella-Zoster virus[36], and so may act to exacerbate the impact of such viruses on achalasia development. The finding of an increased risk of achalasia with pet ownership in the current study may also be due to chance, but is unlikely to be due to recall bias. Our observed inverse association between a history of foreign travel outside of Europe, even after adjustment for socio-economic status, may also reflect exposure to an unknown infectious agent that is actually protective against achalasia development.

One of the strengths of the study is that a large number of patients with primary achalasia were recruited into the study using a population-based approach. The response rate among cases was high (75%), suggesting excellent generalisability to the wider population of patients with primary achalasia. Also, to our knowledge, this is the first case-control study investigating potential environmental risk factors in primary achalasia, providing novel insight into mechanisms and potential prevention strategies for this incurable disease.

Certain potential limitations of this study must be acknowledged. Firstly, self-reported risk factors were relied upon in this study, and may be subject to recall and socially-desirable respondent bias. This is likely to explain the significant inverse association for smoking, alcohol and achalasia risk to some extent, but is unlikely to be masking a converse positive association for these lifestyle factors and achalasia risk. Certain factors such as family history were not verified with general practitioners or other medical records. The low response rate of controls (47%) may have introduced bias if the characteristics and exposures of the non-responders were different. Unfortunately, there was no access to medical records of non-responders to compare with responders to allow evaluation of this. The case-control nature of the study design also presents an opportunity for reverse causation to be skewing some of the observed associations, whereby achalasia cases may have altered their habits relating to certain risk factors, due to their disease and symptom experience. However, these limitations affect all epidemiological case-control studies, and we still believe that our analysis provides a useful and novel insight into potential modifiable risk factors for achalasia. Further case-control and cohort studies verifying our results are required.

In conclusion, achalasia appears to be a disease of inequality that disproportionately affects individuals from low socio-economic backgrounds. This does not appear to be due to corresponding alcohol and smoking behaviours. An observed positive association between pet ownership and achalasia risk may lend support to a role for interaction between endotoxin and viral infection exposure in achalasia aetiology. Further studies of environmental factors and achalasia risk are warranted.

COMMENTS
Background

Oesophageal achalasia is one of the most poorly understood diseases of the digestive tract. Achalasia is a neurodegenerative motility disorder that results in loss of normal lower oesophageal sphincter function and aperistalsis. Relatively little attention has been given to understanding the underlying aetiology of this disease, and more efforts are needed to ultimately achieve prevention of achalasia.

Research frontiers

To our knowledge, no lifestyle factors have been investigated in relation to achalasia development. Associations and biologically plausible mechanisms have been reported for lifestyle factors in the role of other neurodegenerative disorders. The aim of this novel population-based case-control study was to evaluate the association between exposure to environmental factors throughout the lifespan and risk of oesophageal achalasia.

Innovations and breakthroughs

Achalasia disproportionately affects individuals from low socio-economic backgrounds. This does not appear to be due to corresponding alcohol and smoking behaviours. An observed positive association between pet ownership and achalasia risk may lend support to a role for interaction between endotoxin and viral infection exposure in achalasia aetiology.

Applications

This is the first study to evaluate environmental risk factors for achalasia, and raises interesting hypotheses about potential explanatory biological mechanisms for achalasia. Further studies of environmental factors and achalasia risk are warranted.

Peer-review

Coleman et al present a questionnaire based populational enquiry about risk factors for achalasia. The topic is interesting and some data is original. The authors discussed their findings well.

Footnotes

P- Reviewer: El Nakeeb A, Herbella FAM, Kurtcehajic A S- Editor: Qi Y L- Editor: A E- Editor: Liu XM

References
1.  Pohl D, Tutuian R. Achalasia: an overview of diagnosis and treatment. J Gastrointestin Liver Dis. 2007;16:297-303.  [PubMed]  [DOI]  [Cited in This Article: ]
2.  O’Neill OM, Johnston BT, Coleman HG. Achalasia: a review of clinical diagnosis, epidemiology, treatment and outcomes. World J Gastroenterol. 2013;19:5806-5812.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 130]  [Cited by in F6Publishing: 111]  [Article Influence: 10.1]  [Reference Citation Analysis (0)]
3.  Sadowski DC, Ackah F, Jiang B, Svenson LW. Achalasia: incidence, prevalence and survival. A population-based study. Neurogastroenterol Motil. 2010;22:e256-e261.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 214]  [Cited by in F6Publishing: 217]  [Article Influence: 15.5]  [Reference Citation Analysis (0)]
4.  Gennaro N, Portale G, Gallo C, Rocchietto S, Caruso V, Costantini M, Salvador R, Ruol A, Zaninotto G. Esophageal achalasia in the Veneto region: epidemiology and treatment. Epidemiology and treatment of achalasia. J Gastrointest Surg. 2011;15:423-428.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 54]  [Cited by in F6Publishing: 55]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
5.  Park W, Vaezi MF. Etiology and pathogenesis of achalasia: the current understanding. Am J Gastroenterol. 2005;100:1404-1414.  [PubMed]  [DOI]  [Cited in This Article: ]
6.  Booy JD, Takata J, Tomlinson G, Urbach DR. The prevalence of autoimmune disease in patients with esophageal achalasia. Dis Esophagus. 2012;25:209-213.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 54]  [Cited by in F6Publishing: 56]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
7.  Castagliuolo I, Brun P, Costantini M, Rizzetto C, Palù G, Costantino M, Baldan N, Zaninotto G. Esophageal achalasia: is the herpes simplex virus really innocent? J Gastrointest Surg. 2004;8:24-30; discussion 30.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Lau KW, McCaughey C, Coyle PV, Murray LJ, Johnston BT. Enhanced reactivity of peripheral blood immune cells to HSV-1 in primary achalasia. Scand J Gastroenterol. 2010;45:806-813.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 6]  [Article Influence: 0.4]  [Reference Citation Analysis (0)]
9.  Malek AM, Barchowsky A, Bowser R, Heiman-Patterson T, Lacomis D, Rana S, Youk A, Stickler D, Lackland DT, Talbott EO. Environmental and occupational risk factors for amyotrophic lateral sclerosis: a case-control study. Neurodegener Dis. 2014;14:31-38.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 48]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
10.  Norton S, Matthews FE, Barnes DE, Yaffe K, Brayne C. Potential for primary prevention of Alzheimer’s disease: an analysis of population-based data. Lancet Neurol. 2014;13:788-794.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1388]  [Cited by in F6Publishing: 1505]  [Article Influence: 150.5]  [Reference Citation Analysis (0)]
11.  Shirani A, Tremlett H. The effect of smoking on the symptoms and progression of multiple sclerosis: a review. J Inflamm Res. 2010;3:115-126.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 13]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
12.  Forssell L, Cnattingius S, Bottai M, Edstedt Bonamy AK, Lagergren J, Agréus L, Akre O. Risk of oesophageal adenocarcinoma among individuals born preterm or small for gestational age. Eur J Cancer. 2013;49:2207-2213.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 4]  [Article Influence: 0.4]  [Reference Citation Analysis (0)]
13.  Forssell L, Cnattingius S, Bottai M, Edstedt Bonamy AK, Lagergren J, Agréus L, Akre O. Increased risk of Barrett’s esophagus among individuals born preterm or small for gestational age. Clin Gastroenterol Hepatol. 2013;11:790-794.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 16]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
14.  Forssell L, Cnattingius S, Bottai M, Lagergren J, Ekbom A, Akre O. Risk of esophagitis among individuals born preterm or small for gestational age. Clin Gastroenterol Hepatol. 2012;10:1369-1375.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 8]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
15.  Lai BC, Marion SA, Teschke K, Tsui JK. Occupational and environmental risk factors for Parkinson’s disease. Parkinsonism Relat Disord. 2002;8:297-309.  [PubMed]  [DOI]  [Cited in This Article: ]
16.  Howard PJ, Maher L, Pryde A, Cameron EW, Heading RC. Five year prospective study of the incidence, clinical features, and diagnosis of achalasia in Edinburgh. Gut. 1992;33:1011-1015.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Podas T, Eaden J, Mayberry M, Mayberry J. Achalasia: a critical review of epidemiological studies. Am J Gastroenterol. 1998;93:2345-2347.  [PubMed]  [DOI]  [Cited in This Article: ]
18.  Office for National Statistics Standard Occupational Classification 2010 (SOC2010). Accessed May 24. 2014; Available from: http://www.ons.gov.uk/ons/guide-method/classifications/current-standard-classifications/soc2010/index.html.  [PubMed]  [DOI]  [Cited in This Article: ]
19.  Pandolfino JE, Kahrilas PJ. Smoking and gastro-oesophageal reflux disease. Eur J Gastroenterol Hepatol. 2000;12:837-842.  [PubMed]  [DOI]  [Cited in This Article: ]
20.  Murray LJ, McCrum EE, Evans AE, Bamford KB. Epidemiology of Helicobacter pylori infection among 4742 randomly selected subjects from Northern Ireland. Int J Epidemiol. 1997;26:880-887.  [PubMed]  [DOI]  [Cited in This Article: ]
21.  Facco M, Brun P, Baesso I, Costantini M, Rizzetto C, Berto A, Baldan N, Palù G, Semenzato G, Castagliuolo I. T cells in the myenteric plexus of achalasia patients show a skewed TCR repertoire and react to HSV-1 antigens. Am J Gastroenterol. 2008;103:1598-1609.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 83]  [Cited by in F6Publishing: 85]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
22.  Esteban-Vasallo MD, Domínguez-Berjón MF, Gil-Prieto R, Astray-Mochales J, Gil de Miguel A. Sociodemographic characteristics and chronic medical conditions as risk factors for herpes zoster: a population-based study from primary care in Madrid (Spain). Hum Vaccin Immunother. 2014;10:1650-1660.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 39]  [Cited by in F6Publishing: 50]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
23.  Calixto OJ, Anaya JM. Socioeconomic status. The relationship with health and autoimmune diseases. Autoimmun Rev. 2014;13:641-654.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 89]  [Article Influence: 8.9]  [Reference Citation Analysis (0)]
24.  Madden D. The relationship between low birth weight and socioeconomic status in Ireland. J Biosoc Sci. 2014;46:248-265.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 17]  [Cited by in F6Publishing: 20]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
25.  King K, Murphy S, Hoyo C. Epigenetic regulation of Newborns’ imprinted genes related to gestational growth: patterning by parental race/ethnicity and maternal socioeconomic status. J Epidemiol Community Health. 2015;69:639-647.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 51]  [Cited by in F6Publishing: 49]  [Article Influence: 5.4]  [Reference Citation Analysis (0)]
26.  Cardwell CR, Carson DJ, Yarnell J, Shields MD, Patterson CC. Atopy, home environment and the risk of childhood-onset type 1 diabetes: a population-based case-control study. Pediatr Diabetes. 2008;9:191-196.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 22]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
27.  Cardwell CR, Stene LC, Ludvigsson J, Rosenbauer J, Cinek O, Svensson J, Perez-Bravo F, Memon A, Gimeno SG, Wadsworth EJ. Breast-feeding and childhood-onset type 1 diabetes: a pooled analysis of individual participant data from 43 observational studies. Diabetes Care. 2012;35:2215-2225.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 89]  [Cited by in F6Publishing: 87]  [Article Influence: 7.3]  [Reference Citation Analysis (0)]
28.  Cook SD, Dowling PC. A possible association between house pets and multiple sclerosis. Lancet. 1977;1:980-982.  [PubMed]  [DOI]  [Cited in This Article: ]
29.  Gustavsen MW, Page CM, Moen SM, Bjølgerud A, Berg-Hansen P, Nygaard GO, Sandvik L, Lie BA, Celius EG, Harbo HF. Environmental exposures and the risk of multiple sclerosis investigated in a Norwegian case-control study. BMC Neurol. 2014;14:196.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 39]  [Cited by in F6Publishing: 40]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
30.  Ghadirian P, Dadgostar B, Azani R, Maisonneuve P. A case-control study of the association between socio-demographic, lifestyle and medical history factors and multiple sclerosis. Can J Public Health. 2001;92:281-285.  [PubMed]  [DOI]  [Cited in This Article: ]
31.  Bansil S, Singhal BS, Ahuja GK, Riise T, Ladiwala U, Behari M, Cook SD. Multiple sclerosis in India: a case-control study of environmental exposures. Acta Neurol Scand. 1997;95:90-95.  [PubMed]  [DOI]  [Cited in This Article: ]
32.  Bond C, Cleland LG. Rheumatoid arthritis: are pets implicated in its etiology? Semin Arthritis Rheum. 1996;25:308-317.  [PubMed]  [DOI]  [Cited in This Article: ]
33.  Lages-Silva E, Crema E, Ramirez LE, Macedo AM, Pena SD, Chiari E. Relationship between Trypanosoma cruzi and human chagasic megaesophagus: blood and tissue parasitism. Am J Trop Med Hyg. 2001;65:435-441.  [PubMed]  [DOI]  [Cited in This Article: ]
34.  Heinrich J, Gehring U, Douwes J, Koch A, Fahlbusch B, Bischof W, Wichmann HE. Pets and vermin are associated with high endotoxin levels in house dust. Clin Exp Allergy. 2001;31:1839-1845.  [PubMed]  [DOI]  [Cited in This Article: ]
35.  Hung SL, Chiang HH, Wu CY, Hsu MJ, Chen YT. Effects of herpes simplex virus type 1 infection on immune functions of human neutrophils. J Periodontal Res. 2012;47:635-644.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 19]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
36.  Wang HQ, Meng X, Liu BQ, Li C, Gao YY, Niu XF, Li N, Guan Y, Du ZX. Involvement of JNK and NF-κB pathways in lipopolysaccharide (LPS)-induced BAG3 expression in human monocytic cells. Exp Cell Res. 2012;318:16-24.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 11]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]