Citation: Joana Barbosa, Ana Campos, Paula Teixeira. Methods currently applied to study the prevalence of Clostridioides difficile in foods[J]. AIMS Agriculture and Food, 2020, 5(1): 102-128. doi: 10.3934/agrfood.2020.1.102
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In recent years there has been growing acknowledgement of the high rates of young people with ADHD who come into contact with the criminal justice system. Rates vary depending on the screening methods and diagnostic criteria used, but a general consensus from data reported in international studies suggests that around 30% of adult male offenders in the prison population have ADHD [1]. A rate of 23.5% has been reported for those in police custody [2]. Youth offender rates may be higher [3,4] and female adult rates may be lower [5]. This compares with general population rates of around 5% in children and 2.5% in adults [6,7]. These young people with ADHD are reported to present in the criminal justice system at a younger age, even as young as 10 years old [8,9]. They are four to five times more likely to be arrested and are more likely to have multiple arrests and convictions than those without ADHD [8,9,10,11]. They have greater clinical and personality pathology than their non-ADHD peers [12,13,14]. In custody they are more likely to present with demanding and/or aggressive behaviours [2,15,16].
Whilst the evidence base is growing for those detained in custodial settings, little is known about what happens ‘beyond the gates’ when many move into the care of probation services in the community. The role of criminal justice services in supporting offenders with ADHD in England and Wales was discussed at a meeting of experts from health (including representatives from the Department of Health) and criminal justice agencies in 2009. It was concluded that ADHD has begun to be recognized by the courts, prison and police services. However, a clear gap was identified within the probation service, which is a key service for providing support and management in the offender pathway. We therefore aimed to bridge this gap in knowledge by (1) surveying the awareness of probation staff about ADHD and (2) screening the rate of probation service-users with ADHD. In study 1 we investigated awareness by circulating a brief survey to offender managers working in seven Probation Trusts in England and Wales. In study 2 we estimated the actual prevalence rate of ADHD and associated functional impairment among a sub-sample of offenders managed within one Probation Trust using a screening protocol. It was hypothesized that rates of ADHD would be higher than those reported in the general population and similar to those reported in other forensic settings (H1); and that those screening positive for ADHD would report higher rates of impairment both in childhood and in their current functioning (H2).
Study 1: Awareness about ADHD among Probation Staff
Participants: all probation officers/offender managers (around 600) working across seven Probation Trusts in England and Wales were invited to complete the survey.
Measures: a survey was designed to meet the specific aims of this study that asked offender managers to estimate the prevalence of offenders with ADHD on their caseload, comment on the presenting problems of these offenders and challenges to their management, and describe the training they had received on the treatment and management of offenders with ADHD (survey available from corresponding author).
Procedure: agreement to conduct study 1 was obtained from senior management in the Probation Trusts and ethical approval was awarded by the Psychiatry, Nursing and Midwifery RESC committee, reference PNM-1112-12. Senior management within each Trust circulated an email to all staff inviting them to participate and attaching an Information Sheet describing the purpose of the survey and providing a link to an online version. In addition a hard copy was attached to the email for staff who preferred to download the survey and return it by post.
Study 2: Estimated Prevalence of ADHD in the Probation Service
Participants: a total of 108 male offenders managed in the community by the West Yorkshire Probation Trust and aged between 18 and 25 years participated in the study. The West Yorkshire Probation Trust is the fourth largest in England and Wales supervising around 12, 000 cases at any one time, most of whom are in the community. The majority of service users are young men, thus females and/or those aged 26 or above were excluded from the study.
Measures: participants completed the Barkley Current and Childhood Symptoms Scales [17] to rate current (i.e. in the past six months) and childhood ADHD symptoms. These 18-item self-report questionnaires are based upon DSM-IV criteria (9 in each domain of attention and hyperactivity/impulsivity), and use a 4-point rating scale to indicate frequency of symptoms. ADHD in childhood was classified as present if an individual rated “often” or “very often” (i) six or more symptoms in either domain on the retrospective childhood rating scale. Current ADHD (i.e. in adulthood) was classified as present for those meeting criteria (i) plus (ii) six or more ADHD symptoms from either domain from current ADHD symptom rating scales.
The Barkley Symptoms Scales also include an assessment of impairment that enquires about function in specific areas of life activities. Participants rate the frequency with which they have experienced functional problems over the previous six months on a four-point scale for ten domains including home life, work or occupation, social interactions, community activities, educational activities, dating or marital relationships, money management, driving, leisure or recreational activities and management of daily responsibilities. Each domain can be summed to generate a total impairment score that ranges between 0 and 30.
In addition, the current probation status of the offender was recorded for categories of (1) offender in the community, (2) offender in approved premises/hostel and (3) persistent ‘prolific’ offender. The categories broadly represent low to high risk levels for re-offending and/or risk of harm towards others
Procedure: agreement to conduct study 2 was obtained by senior management in the West Yorkshire Probation Trust and approved by the Probation Research Board for England and Wales. Following a brief session of training in their administration, the ADHD rating scales (both child and current) were administered by staff to all offenders on their caseload who met inclusion criteria and who attended a routine healthcare assessment over a 12 month period. Probation staff read items to participants with literacy problems but they were given no further assistance or direction to complete the questionnaires.
Survey response rate
The survey response rate was poor at around 11% (N=68 respondents).
Probation staff’s estimate of ADHD prevalence within their service
The average number of offenders per caseload was 37.7 (range = 2 to 113). Out of a total of 2, 563 offenders on their caseloads, staff estimated that 206 had ADHD (7.6%).
Probation staff’s perception of the presenting problems of offenders with ADHD
Responses to the open question “Describe the three main presenting problems for ADHD offenders” indicated three main groups of difficulties, the most common relating to neuropsychological dysfunction (e.g. inattention, hyperactivity, impulsivity, memory, emotion regulation, planning, and organisation). These deficits were perceived to hinder meaningful engagement in rehabilitation (i.e. in group work, discussion) and attenuate progress, for example due to time-management problems, missed appointments, lack of prioritisation and/or comprehension problems.
The second category of presenting problems related to social and interpersonal problems (e.g. difficulties with relationships, social problem-solving, antisocial attitudes and behaviour, chaotic lifestyle, education and employment, substance misuse, health, and housing problems). Within this category probation staff described how core symptoms of ADHD can negatively influence social skills and interpersonal relationships, and suggested that ADHD offenders may be “pushed away” by positive role models and easily re-engage with criminal peers.
The third category related to difficulties associated with adhering to rehabilitation plans and included problems with attendance, maintaining appropriate boundaries, and accepting instructions. Low levels of self-esteem and motivation were also indicated, which may have hindered progress in their rehabilitation.
Probation staff’s perception of challenges to managing offenders with ADHD
Responses to the open question “Describe the three main difficulties in managing ADHD offenders” indicated two dominant categories relating to (1) internal processes (motivation and engagement), and (2) external processes (inadequate or inappropriate interventions). Motivational and engagement problems were perceived to be the primary management difficulty. One respondent mentioned how persisting, challenging behaviours often lead to the abandonment of motivational techniques, and teaching offenders with ADHD constructive life skills was perceived to be challenging due to their difficulties with self-regulation and limitations in social perspective taking.
External factors referred to concerns about the adequacy of treatment programmes for offenders with ADHD. They were perceived as not receiving appropriate medication, leading to them being difficult to manage both in prison and in the community. In particular, difficulties were experienced “keeping ADHD offenders on target”, with staff suggesting that high levels of tolerance were required for their successful management and progress.
Training
Around one-fifth (19.1%) had attended talks or presentations on ADHD and a small percentage (5.1%) had received some ADHD training. Almost three-quarters (73.5%) of respondents reported they did not have adequate support from mental health services to manage offenders with ADHD, and just over half (52.9%) believed that there should be specialist workers within the probation service for managing offenders with ADHD.
Screening rates of ADHD within one Probation Trust
Of the 108 screens received, 20 were incomplete and could not be used. Of the remaining 88 participants, 53 (60.2%) were managed in the community, 17 (19.3%) were in a probation hostel, and 18 (20.5%) were classified as high risk or persistent prolific offenders.
Of this group, 40 (45.45%) screened positive for childhood ADHD, of whom 8 (20.00%) were of predominantly hyperactive/impulsive type, 7 (17.50%) predominantly inattentive type, and 25 (62.50%) combined type (see Table 1). Ten participants refused to complete the current symptom screen for adulthood ADHD (5 of whom met criteria for ADHD on the child screen). Of the 40 individuals who had screened positive on the child screen and completed the adult screen, 16 (20.51%) met criteria for ADHD in adulthood, of whom 5 (31.25%) were of predominantly hyperactive/impulsive type, 2 (12.50%) inattentive, and 9 (56.25%) combined type. Overall the data suggests an estimated child and adult prevalence of 45.45% and 20.51% respectively.
Childhood screen n (%) (N=88) | Adulthood screen n (%) (N=78) | |
No ADHD | 48 (54.55%) | 62 (79.49%) |
ADHD | 40 (45.45%) | 16 (20.51%) |
Combined | 25 (62.50%) | 9 (56.25%) |
Hyperactive/impulsive | 8 (20.00%) | 5 (31.25%) |
Inattentive | 7 (17.50%) | 2 (12.50%) |
Functional impairment
As the impairment total variables did not meet criteria for parametric testing, Mann-Whitney U tests were conducted to compare the total impairment scores obtained on the child and adult ADHD symptom scales. A positive screen in childhood was associated with greater childhood (U=138.50, p < 0.001, r = 0.64) and current impairment (U = 82.50, p < 0.001, r = 0.64), both with large effect sizes and both remaining significant when a Bonferroni correction was made to account for the two analyses (see Table 2).
Childhood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 12.00 | 3.00 | 138.50* | 0.64 |
Current impairment median | 9.00 | 1.00 | 82.50* | 0.64 |
Adulthood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 18.00 | 4.50 | 91.00 | 0.58 |
Current impairment median | 12.00 | 2.00 | 48.00 | 0.61 |
A similar pattern was found for current ADHD criteria which was associated with greater childhood (U = 91.00, p < 0.001, r = 0.58) and current impairment (U = 48.00, p < 0.001, r = 0.61). Again, both results showed large effect sizes and remained significant following the Bonferroni correction.
This study is the first of its kind with a focus on the probation service and, as hypothesised, there was a significantly greater estimated rate of offenders with ADHD being managed in the community by probation services than reported in the general population. The rates obtained were generally consistent with those reported in prison studies e.g. [4,5,14,18] with an estimated prevalence of 45.45% and 20.51% for childhood and adulthood respectively. Furthermore these offenders reported significantly greater functional impairment in both childhood and adulthood with large effect sizes, which has important implications regarding their ability to cope effectively in the community. The probation staff, by contrast, estimated that 7.6% of their caseload consisted of offenders with ADHD, suggesting that there may be high rates of under-detection and/or misdiagnosis among offenders on probation.
The offender managers identified that this group of offenders were more impaired than their non-ADHD peers and perceived that this impairment hampered their ability to engage with the service and successful progress in their rehabilitation. Particular issues related to neuropsychological, lifestyle and compliance problems and, for some, risk may be inflated due to these barriers that hamper their rehabilitation process. The casework relationship between offender managers and the offenders they work with involves a dual relationship of care and control yet they seemed to feel ill-equipped to support the offenders with ADHD on their caseload, identifying a clear training need. Very few offender managers reported they had received any training in ADHD and most responded that they needed more support from mental health services. Many reported that staff with specialist training in this area would be useful. Given the likely proportion that one-quarter of their caseload has ADHD, specialist supervision may be a cost effective solution.
The pharmacological treatment of offenders with ADHD may have profound effects for both patient care and societal gains. Lichtenstein and colleagues [19] gathered information on 25, 656 patients with a diagnosis of ADHD, drawing on data in Swedish national registers recording pharmacological treatment and subsequent criminal convictions over a 3-year period. They found that 37% of males and 15% of females had been convicted of at least one crime. Importantly it was found that the use of ADHD medication reduced the crime rate by 32% and 41% for males and females respectively. Similar analyses were conducted for treatment with antidepressant or SSRI medications with no effect and it was concluded that among patients with ADHD, rates of criminality were lower during periods when they were receiving ADHD medication.
Another Swedish study conducted a randomised controlled trial investigating both symptom and functional outcomes of treating offenders with ADHD with stimulant medication in the prison setting [20,21]. They reported a large treatment effect for both symptomatic and functional improvement (in both neuropsychological and quality of life domains) that was sustained over a 12-month period of study. No substance misuse was detected during the course of the study and the majority of participants took part in accredited treatment programmes and educational activities. Hence treatment with medication may not solely confer health gain to the individual but may also facilitate engagement with the service and the rehabilitation process. A treatment approach that combines pharmacological and psychological approaches, as recommended by international guidelines [22,23], may be the most efficacious in meeting the needs of a complex client group who have high rates of comorbidity. A specific programme has been developed to meet the needs of patients with ADHD and antisocial behaviour, the R&R2 ADHD [24]. This programme is an adaptation of the internationally accredited Reasoning & Rehabilitation programme and a meta-analysis of outcomes obtained from 16 evaluations found that, compared with controls, recidivism was reduced by 14% and 21% when the programme was delivered in institutional and community settings respectively [25]. The R&R2 ADHD revision has been associated with large and sustained treatment effects for clinical improvement in a randomised community trial conducted in a community sample [26] and has been successfully piloted in offenders with personality disorder [27].
A strength of the current study is that it is the first one (so far as we know) to report the rates and management needs of offenders with ADHD in probation services. This is an important topic as the recognition and management of these offenders has the potential to benefit both the individual and society. The survey was conducted in a cross-section of the probation service that spanned a broad geographical area across the UK but there was a very low return rate. Nevertheless, those participating in the screening study were representative of offenders presenting with a broad spectrum of risk of re-offending and risk of harm towards others. However, the screening protocol was administered in only one Probation Trust and twenty screens were incomplete and had to be excluded from the sample. The Probation Trusts did not systematically record the number of offenders approached for inclusion in the study; the sample size was small and only male which may have further limited generalisability. In common with many prevalence studies of ADHD that apply a screening protocol, this study used self-reported rating scales to screen for symptoms of ADHD, one of which asks the participant to retrospectively recall symptoms in childhood which may not be accurate [28]. Whilst the sensitivity and specificity of such ratings scales is unknown and a diagnosis should only follow a comprehensive clinical interview [22,29], they may nevertheless be useful for indicating whether a more detailed clinical assessment is warranted.
There is a consistent over-representation of offenders with ADHD presenting in custodial and community probation settings. With respect to the latter, this study has highlighted two important needs. Firstly, screening protocols and procedures are required in probation settings in order to assist offender managers to identify offenders who may be affected by persisting symptoms of ADHD. Unidentified symptoms are likely to impact on both the ability of the offender to use the support that is available and the ability of staff to tailor appropriate treatment and support. Secondly there is a clear training need to support staff in their management of a challenging group of offenders with a high rate of functional impairment who may have difficulty adhering to a community treatment protocol and who are likely to benefit from treatment. The evidence regarding the vulnerabilities of offenders with ADHD in the criminal justice system is growing. We now have the knowledge base and something needs to be done as the evidence is taking us beyond ‘food for thought’ and towards a call for action.
SY, GG and MA have received honoraria for consultancy, travel, educational talks and/or research from Janssen-Cilag, Eli-Lilly, Shire, Flynn-Pharma, Novatis and/or HB Pharma. SY was a member of the NICE guideline development group for ADHD. She is co-author of R&R2 ADHD and a consultant at the Cognitive Centre of Canada. Other authors have no conflicts of interest in this paper. No financial support was received to conduct and publish this study.
[1] |
Lawson PA, Citron DM, Tyrrell KL, et al. (2016) Reclassification of Clostridium difficile as Clostridioides difficile (Hall and O'Toole 1935) Prevot 1938. Anaerobe 40: 95-99. doi: 10.1016/j.anaerobe.2016.06.008
![]() |
[2] | Smits WK, Lyras D, Lacy DB, et al. (2016) Clostridium difficile infection. Nat Rev Dis Prim 2: 1-20. |
[3] |
Kilic A, Alam MJ, Tisdel NL, et al. (2015) Multiplex real-time PCR method for simultaneous identification and toxigenic type characterization of Clostridium difficile from stool samples. Ann Lab Med 35: 306-313. doi: 10.3343/alm.2015.35.3.306
![]() |
[4] |
McDonald LC, Killgore GE, Thompson A, et al. (2005) An epidemic, toxin gene-variant strain of Clostridium difficile. N Engl J Med 353: 2433-2441. doi: 10.1056/NEJMoa051590
![]() |
[5] |
DePestel DD, Aronoff DM (2013) Epidemiology of Clostridium difficile infection. J Pharm Pract 26: 464-475. doi: 10.1177/0897190013499521
![]() |
[6] |
Weese JS, Avery BP, Rousseau J, et al. (2009) Detection and enumeration of Clostridium difficile spores in retail beef and pork. Appl Environ Microbiol 75: 5009-5011. doi: 10.1128/AEM.00480-09
![]() |
[7] |
Wu YC, Chen CM, Kuo CJ, et al. (2017) Prevalence and molecular characterization of Clostridium difficile isolates from a pig slaughterhouse, pork, and humans in Taiwan. Int J Food Microbiol 242: 37-44. doi: 10.1016/j.ijfoodmicro.2016.11.010
![]() |
[8] |
Songer JG, Trinh HT, Killgore GE, et al. (2009) Clostridium difficile in retail meat products, USA, 2007. Emerg Infect Dis 15: 819-821. doi: 10.3201/eid1505.081071
![]() |
[9] |
Weese JS, Reid-Smith RJ, Avery BP, et al. (2010) Detection and characterization of Clostridium difficile in retail chicken. Lett Appl Microbiol 50: 362-365. doi: 10.1111/j.1472-765X.2010.02802.x
![]() |
[10] |
Harvey RB, Norman KN, Andrews K, et al. (2011) Clostridium difficile in poultry and poultry meat. Foodborne Pathog Dis 8: 1321-1323. doi: 10.1089/fpd.2011.0936
![]() |
[11] |
Romano V, Pasquale V, Lemee L, et al. (2018) Clostridioides difficile in the environment, food, animals and humans in southern Italy: Occurrence and genetic relatedness. Comp Immunol Microbiol Infect Dis 59: 41-46. doi: 10.1016/j.cimid.2018.08.006
![]() |
[12] |
Bakri MM, Brown DJ, Butcher JP, et al. (2009) Clostridium difficile in ready-to-eat salads, scotland. Emerg Infect Dis 15: 817-818. doi: 10.3201/eid1505.081186
![]() |
[13] |
Yamoudy M, Mirlohi M, Isfahani BN, et al. (2015) Isolation of toxigenic Clostridium difficile from ready-to-eat salads by multiplex polymerase chain reaction in Isfahan, Iran. Adv Biomed Res 4: 87. doi: 10.4103/2277-9175.156650
![]() |
[14] |
Metcalf DS, Costa MC, Dew WMV, et al. (2010) Clostridium difficile in vegetables, Canada. Lett Appl Microbiol 51: 600-602. doi: 10.1111/j.1472-765X.2010.02933.x
![]() |
[15] |
Eckert C, Burghoffer B, Barbut F (2013) Contamination of ready-to-eat raw vegetables with Clostridium difficile in France. J Med Microbiol 62: 1435-1438. doi: 10.1099/jmm.0.056358-0
![]() |
[16] | Han Y (2016) Detection of antibiotic resistance Clostridium difficile in lettuce. Master thesis, Louisiana State University. |
[17] | Rodriguez-Palacios A, Ilic S, LeJeune JT (2014) Clostridium difficile with moxifloxacin/clindamycin resistance in vegetables in Ohio, USA, and prevalence meta-analysis. J Pathog: 158601. |
[18] |
Troiano T, Harmanus C, Sanders IMJG, et al. (2015) Toxigenic Clostridium difficile PCR ribotypes in edible marine bivalve molluscs in Italy. Int J Food Microbiol 208: 30-34. doi: 10.1016/j.ijfoodmicro.2015.05.002
![]() |
[19] |
Norman KN, Harvey RB, Andrews K, et al. (2014) Survey of Clostridium difficile in retail seafood in College Station, Texas. Food Addit Contam A 31: 1127-1129. doi: 10.1080/19440049.2014.888785
![]() |
[20] |
Metcalf D, Avery BP, Janecko N, et al. (2011) Clostridium difficile in seafood and fish. Anaerobe 17: 85-86. doi: 10.1016/j.anaerobe.2011.02.008
![]() |
[21] |
Rupnik M (2007) Is Clostridium difficile-associated infection a potentially zoonotic and foodborne disease? Clin Microbiol Infect 13: 457-459. doi: 10.1111/j.1469-0691.2007.01687.x
![]() |
[22] | Warriner K, Xu C, Habash M, et al. (2017) Dissemination of Clostridium difficile in food and the environment: Significant sources of C. difficile community-acquired infection? J Appl Microbiol 122: 542-553. |
[23] |
Pasquale V, Romano VJ, Rupnik M, et al. (2011) Isolation and characterization of Clostridium difficile from shellfish and marine environments. Folia Microbiol (Praha) 56: 431-437. doi: 10.1007/s12223-011-0068-3
![]() |
[24] | Xu C, Salsali H, Weese S, et al. (2015) Inactivation of Clostridium difficile in sewage sludge by anaerobic thermophilic digestion. Can J Microbiol 62: 13-26. |
[25] |
Romano V, Pasquale V, Krovacek K, et al. (2012) Toxigenic Clostridium difficile PCR Ribotypes from wastewater treatment plants in southern Switzerland. App Environ Microbiol 78: 6643-6646. doi: 10.1128/AEM.01379-12
![]() |
[26] |
Bakri M (2018) Prevalence of Clostridium difficile in raw cow, sheep, and goat meat in Jazan, Saudi Arabia. Saudi J Biol Sci 25: 783-785. doi: 10.1016/j.sjbs.2016.07.002
![]() |
[27] |
Rodriguez C, Taminiau B, Avesani V, et al. (2014) Multilocus sequence typing analysis and antibiotic resistance of Clostridium difficile strains isolated from retail meat and humans in Belgium. Food Microbiol 42: 166-171. doi: 10.1016/j.fm.2014.03.021
![]() |
[28] |
Varshney JB, Very KJ, Williams JL, et al. (2014) Characterization of Clostridium difficile isolates from human fecal samples and retail meat from Pennsylvania. Foodborne Pathog Dis 11: 822-829. doi: 10.1089/fpd.2014.1790
![]() |
[29] |
Lim SC, Foster NF, Riley TV (2016) Susceptibility of Clostridium difficile to the food preservatives sodium nitrite, sodium nitrate and sodium metabisulphite. Anaerobe 37: 67-71. doi: 10.1016/j.anaerobe.2015.12.004
![]() |
[30] |
Curry SR, Marsh JW, Schlackman JL, et al. (2012) Prevalence of Clostridium difficile in uncooked ground meat products from Pittsburgh, Pennsylvania. Appl Environ Microbiol 78: 4183-4186. doi: 10.1128/AEM.00842-12
![]() |
[31] | Esfandiari Z, Jalali M, Ezzatpanah H, et al. (2014) Prevalence and characterization of Clostridium difficile in beef and mutton meats of Isfahan Region, Iran. Jundishapur J Microbiol 7: 1-5. |
[32] |
Limbago B, Thompson AD, Greene SA, et al. (2012) Development of a consensus method for culture of Clostridium difficile from meat and its use in a survey of U.S. retail meats. Food Microbiol 32: 448-451. doi: 10.1016/j.fm.2012.08.005
![]() |
[33] |
Abdel-Glil MY, Thomas P, Schmoock G, et al. (2018) Presence of Clostridium difficile in poultry and poultry meat in Egypt. Anaerobe 51: 21-25. doi: 10.1016/j.anaerobe.2018.03.009
![]() |
[34] |
Guran HS, Ilhak OI (2015) Clostridium difficile in retail chicken meat parts and liver in the Eastern Region of Turkey. J Verbrauch Lebensm 10: 359-364. doi: 10.1007/s00003-015-0950-z
![]() |
[35] | Razmyar J, Jamshidi A, Khanzadi S, et al. (2017) Toxigenic Clostridium difficile in retail packed chicken meat and broiler flocks in northeastern Iran. Iran. J Vet Res 18: 271-274. |
[36] |
Lee JY, Lee DY, Cho YS (2018) Prevalence of Clostridium difficile isolated from various raw meats in Korea. Food Sci Biotechnol 27: 883-889. doi: 10.1007/s10068-018-0318-0
![]() |
[37] | Ersöz ŞŞ, Coşansu S (2018) Prevalence of Clostridium difficile isolated from beef and chicken meat products in Turkey. Korean J Food Sci An 38: 759-767. |
[38] |
Mooyottu S, Flock G, Kollanoor-Johny A, et al. (2015) Characterization of a multidrug resistant C. difficile meat isolate. Int J Food Microbiol 192: 111-116. doi: 10.1016/j.ijfoodmicro.2014.10.002
![]() |
[39] |
Quesada-Gomez C, Mulvey MR, Vargas P, et al. (2013) Isolation of a toxigenic and clinical genotype of Clostridium difficile in retail meats in Costa Rica. J Food Protect 76: 348-351. doi: 10.4315/0362-028X.JFP-12-169
![]() |
[40] |
Indra A, Lassnig H, Baliko N, et al. (2009) Clostridium difficile: a new zoonotic agent? Wiener Klinische Wochenschrift 121: 91-95. doi: 10.1007/s00508-008-1127-x
![]() |
[41] |
De Boer E, Zwartkruis-Nahuis A, Heuvelink AE, et al. (2011) Prevalence of Clostridium difficile in retailed meat in The Netherlands. Int J Food Microbiol 144: 561-564. doi: 10.1016/j.ijfoodmicro.2010.11.007
![]() |
[42] |
Carvalho P, Barbosa J, Teixeira P (2019) Are indeed meats sold in Portugal without Clostridioides difficile? Acta Aliment 48: 391-395. doi: 10.1556/066.2019.48.3.15
![]() |
[43] | Pires RN, Caurioa CFB, Saldanha GZ, et al. (2018) Clostridium difficile contamination in retail meat products in Brazil. Braz J Infect Dis 2018. |
[44] | Harvey RB, Norman KN, Andrews K, et al. (2011) Clostridium difficile in retail meat and processing plants in Texas. J Vet Diagn Invest 23: 8 807-811. |
[45] |
Shaughnessy MK, Snider T, Sepulbeda R, et al. (2018) Prevalence and molecular characteristics of Clostridium difficile in retail meats, food-producing and companion animals, and humans in Minnesota. J Food Protect 81: 1635-1642. doi: 10.4315/0362-028X.JFP-18-104
![]() |
[46] |
Von Abercron SM, Karlsson F, Wigh GT, et al. (2009) Low occurrence of Clostridium difficile in retail ground meat in Sweden. J Food Protect 72: 1732-1734. doi: 10.4315/0362-028X-72.8.1732
![]() |
[47] | Metcalf D, Reid-Smith RJ, Avery BP, et al. (2010) Prevalence of Clostridium difficile in retail pork. Can Vet J 51: 873-876. |
[48] |
Kalchayanand N, Arthur TM, Bosilevac JM, et al. (2013) Isolation and characterization of Clostridium difficile associated with beef cattle and commercially produced ground beef. J Food Prot 76: 256-264. doi: 10.4315/0362-028X.JFP-12-261
![]() |
[49] |
Rodriguez-Palacios A, Staempfli HR, Duffield T, et al. (2007) Clostridium difficile in retail ground meat, Canada. Emerg Infect Dis 13: 485-487. doi: 10.3201/eid1303.060988
![]() |
[50] |
Esfandiari Z, Weese S, Ezzatpanah H (2014) Occurrence of Clostridium difficile in seasoned hamburgers and seven processing plants in Iran. BMC Microbiol 14: 283. doi: 10.1186/s12866-014-0283-6
![]() |
[51] |
Hofer E, Haechler H, Frei R, et al. (2010) Low occurrence of Clostridium difficile in fecal samples of healthy calves and pigs at slaughter and in minced meat in Switzerland. J Food Protect 73: 973-975. doi: 10.4315/0362-028X-73.5.973
![]() |
[52] |
Jöbstl M, Heuberger S, Indra A, et al. (2010) Clostridium difficile in raw products of animal origin. Int J Food Microbiol 138: 172-175. doi: 10.1016/j.ijfoodmicro.2009.12.022
![]() |
[53] |
Visser M, Sepehrim S, Olson N, et al. (2012) Detection of Clostridium difficile in retail ground meat products in Manitoba. Can J Infect Dis Med Microbiol 23: 28-30. doi: 10.1155/2012/646981
![]() |
[54] |
Bouttier S, Barc M-C, Felix B, et al. (2010) Clostridium difficile in ground meat, France. Emerg Infect Dis 16: 733-735. doi: 10.3201/eid1604.091138
![]() |
[55] |
Rodriguez-Palacios A, Reid-Smith RJ, Staempfli HR, et al. (2009) Possible seasonality of Clostridium difficile in retail meat, Canada. Emerg Infect Dis 15: 802-805. doi: 10.3201/eid1505.081084
![]() |
[56] |
Rahimi E, Jalali M, Weese JS (2014) Prevalence of Clostridium difficile in raw beef, cow, sheep, goat, camel and buffalo meat in Iran. BMC Public Health 14: 119. doi: 10.1186/1471-2458-14-119
![]() |
[57] |
Houser BA, Soehnlen MK, Wolfgang DR, et al. (2012) Prevalence of Clostridium difficile toxin genes in the feces of veal calves and incidence of ground veal contamination. Foodborne Pathog Dis 9: 32-36. doi: 10.1089/fpd.2011.0955
![]() |
[58] |
Kouassi KA, Dadie AT, N'Guessan KF, et al. (2014) Clostridium perfringens and Clostridium difficile in cooked beef sold in Côte d'Ivoire and their antimicrobial susceptibility. Anaerobe 28: 90-94. doi: 10.1016/j.anaerobe.2014.05.012
![]() |
[59] |
Pasquale V, Romano V, Rupnik M, et al. (2012) Occurrence of toxigenic Clostridium difficile in edible bivalve molluscs. Food Microbiol 31: 309-312. doi: 10.1016/j.fm.2012.03.001
![]() |
[60] |
Al Saif N, Brazier JS (1996) The distribution of Clostridium difficile in the environment of South Wales. J Med Microbiol 45: 133-137. doi: 10.1099/00222615-45-2-133
![]() |
[61] |
Lim SC, Foster NF, Elliott B, et al. (2018) High prevalence of Clostridium difficile on retail root vegetables, Western Australia. J Appl Microbiol 124: 585-590. doi: 10.1111/jam.13653
![]() |
[62] |
Tkalec V, Janezic S, Skik B, et al. (2019) High Clostridium difficile contamination rates of domestic and imported potatoes compared to some other vegetables in Slovenia. Food Microbiol 78: 194-200. doi: 10.1016/j.fm.2018.10.017
![]() |
[63] |
Rahimi E, Afzali ZS, Baghbadorani ZT (2015) Clostridium difficile in ready-to-eat foods in Isfahan and Shahrekord, Iran. Asian Pac J Trop Biomed 5: 128-131. doi: 10.1016/S2221-1691(15)30156-8
![]() |
[64] |
Rodriguez C, Korsak N, Taminiau B, et al. (2015) Clostridium difficile from food and surface samples in a Belgian nursing home: An unlikely source of contamination. Anaerobe 32: 87-89. doi: 10.1016/j.anaerobe.2015.01.001
![]() |
[65] |
Aspinall ST, Hutchinson DN (1992) New selective medium for isolating Clostridium difficile from faeces. J Clin Pathol 45: 812-814. doi: 10.1136/jcp.45.9.812
![]() |
[66] |
Delmée M, Vandercam B, Avesani V, et al. (1987) Epidemiology and prevention of Clostridium difficile infections in a leukemia unit. Eur J Clin Microbiol 6: 623-627. doi: 10.1007/BF02013056
![]() |
[67] | GeorgeWL, Sutter VL, Citron D (1979) Selective and differential medium for isolation of selective and differential medium for isolation of Clostridium difficile. J Clin Microbiol 9: 214-219. |
[68] |
Marler LM, Siders JA, Wolters LC, et al. (1992) Comparison of five cultural procedures for isolation of Clostridium difficile from stools. J Clin Microbiol 30: 514-516. doi: 10.1128/JCM.30.2.514-516.1992
![]() |
[69] |
Tyrrell KL, Citron DM, Leoncio ES, et al. (2013) Evaluation of cycloserine-cefoxitin fructose agar (CCFA), CCFA with horse blood and taurocholate, and cycloserine-cefoxitin mannitol broth with taurocholate and lysozyme for recovery of Clostridium difficile isolates from fecal samples. J Clin Microbiol 51: 3094-3096. doi: 10.1128/JCM.00879-13
![]() |
[70] |
Lister M, Stevenson E, Heeg D, et al. (2014) Comparison of culture based methods for the isolation of Clostridium difficile from stool samples in a research setting. Anaerobe 28: 226-229. doi: 10.1016/j.anaerobe.2014.07.003
![]() |
[71] | Edwards AN, Suárez JM, McBride SM (2013) Culturing and maintaining Clostridium difficile in an anaerobic environment. J Vis Exp 79: 1-8. |
[72] |
Chai C, Lee KS, Lee D, et al. (2015) Non-selective and selective enrichment media for the recovery of Clostridium difficile from chopped beef. J Microbiol Methods 109: 20-24. doi: 10.1016/j.mimet.2014.12.001
![]() |
[73] |
Wilkins TD, Lyerly DM (2003) Clostridium difficile testing after 20 years, still challenging. J Clin Microbiol 41: 531-534. doi: 10.1128/JCM.41.2.531-534.2003
![]() |
[74] | Steensels D, Verhaegen J, Lagrou K (2011) Matrix-assisted laser desorption ionization-time of flight mass spectrometry for the identification of bacteria and yeasts in a clinical microbiological laboratory: A review. Acta Clin Belg 66: 267-273. |
[75] |
Reil M, Erhard M, Kuijper EJ, et al. (2011) Recognition of Clostridium difficile PCR-ribotypes 001, 027 and 126/078 using an extended MALDI-TOF MS system. Eur J Clin Microbiol Infect Dis 30: 1431-1436. doi: 10.1007/s10096-011-1238-6
![]() |
[76] |
Burnham CAD, Carroll KC (2013) Diagnosis of Clostridium difficile infection: An ongoing conundrum for clinicians and for clinical laboratories. Clin Microbiol Rev 26: 604-630. doi: 10.1128/CMR.00016-13
![]() |
[77] |
Lyerly DM, Krivan HC, Wilkins TD (1988) Clostridium difficile: its disease and toxins. Clin Microbiol Rev 1: 1-18. doi: 10.1128/CMR.1.1.1
![]() |
[78] |
Chapin KC, Dickenson RA, Wu F, et al. (2011) Comparison of five assays for detection of Clostridium difficile toxin. J Mol Diagn 13: 395-400. doi: 10.1016/j.jmoldx.2011.03.004
![]() |
[79] |
Antikainen J, Pasanen T, Mero S, et al. (2009) Detection of virulence genes of Clostridium difficile by multiplex PCR. Acta Pathol Microbiol Immunol Scand 117: 607-613. doi: 10.1111/j.1600-0463.2009.02509.x
![]() |
[80] |
Kato H, Kato N, Katow S, et al. (1999) Deletions in the repeating sequences of the toxin A gene of toxin A-negative, toxin B-positive Clostridium difficile strains. FEMS Microbiol Lett 175: 197-203. doi: 10.1111/j.1574-6968.1999.tb13620.x
![]() |
[81] |
Dupuy B, Govind R, Antunes A, et al. (2008) Clostridium difficile toxin synthesis is negatively regulated by TcdC. J Med Microbiol 57: 685-689. doi: 10.1099/jmm.0.47775-0
![]() |
[82] |
Tan KS, Wee BY, Song KP (2001) Evidence for holin function of tcdE gene in the pathogenicity of Clostridium difficile. J Med Microbiol 50: 613-619. doi: 10.1099/0022-1317-50-7-613
![]() |
[83] |
Mani N, Dupuy B (2001) Regulation of toxin synthesis in Clostridium difficile by an alternative RNA polymerase sigma factor. Proc NatlAcad Sci USA 98: 5844-5849. doi: 10.1073/pnas.101126598
![]() |
[84] |
Matamouros S, England P, Dupuy B (2007) Clostridium difficile toxin expression is inhibited by the novel regulator TcdC. Mol Microbiol 64: 1274-1288. doi: 10.1111/j.1365-2958.2007.05739.x
![]() |
[85] |
Govind R, Dupuy B (2012) Secretion of Clostridium difficile Toxins A and B Requires the Holin-like Protein TcdE. PLoS Pathogens 8: e1002727. doi: 10.1371/journal.ppat.1002727
![]() |
[86] | Eastwood K, Else P, Charlett A, et al. (2009) Comparison of nine commercially available Clostridium difficile toxin detection assays, a real-time PCR assay for C. difficile tcdB, and a glutamate dehydrogenase detection assay to cytotoxin testing and cytotoxigenic culture methods. J Clin Microbiol 47: 3211-3217. |
[87] | Soh YS, Yang JJ, You E, et al. (2014) Comparison of two molecular methods for detecting toxigenic Clostridium difficile. Ann Clin Lab Sci 44: 27-31. |
[88] | Yoo J, Lee H, Park KG, et al. (2015) Evaluation of 3 automated real-time PCR (Xpert C. difficile assay, BD MAX Cdiff, and IMDx C. difficile for Abbott m2000 assay) for detecting Clostridium difficile toxin gene compared to toxigenic culture in stool specimens. Diagn Microbiol Infect Dis 83: 7-10. |
[89] |
Lemee L, Dhalluin A, Testelin S, et al. (2004) Multiplex PCR targeting tpi (triose phosphate isomerase), tcdA (toxin A), and tcdB (toxin B) genes for toxigenic culture of Clostridium difficile. J Clin Microbiol 42: 5710-5714. doi: 10.1128/JCM.42.12.5710-5714.2004
![]() |
[90] |
Houser BA, Hattel AL, Jayarao BM (2010) Real-time multiplex polymerase chain reaction assay for rapid detection of Clostridium difficile toxin-encoding strains. Foodborne Pathog Dis 7: 719-726. doi: 10.1089/fpd.2009.0483
![]() |
[91] |
Rupnik M, Janezic S (2016) An update on Clostridium difficile toxinotyping. J Clin Microbiol 54: 13-18. doi: 10.1128/JCM.02083-15
![]() |
[92] |
Bidet P, Barbut F, Lalande V, et al. (1999) Development of a new PCR-ribotyping method for Clostridium difficile based on ribosomal RNA gene sequencing. FEMS Microbiol Lett 175: 261-2666. doi: 10.1111/j.1574-6968.1999.tb13629.x
![]() |
[93] |
Gebreyes WA, Adkins PR (2015) The use of pulsed-field gel electrophoresis for genotyping of Clostridium difficile. Methods Mol Biol 1301: 95-101. doi: 10.1007/978-1-4939-2599-5_9
![]() |
[94] |
Killgore G, Thompson A, Johnson S, et al. (2008) Comparison of seven techniques for typing international epidemic strains of Clostridium difficile: restriction endonuclease analysis, pulsed-field gel electrophoresis, PCR-ribotyping, multilocus sequence typing, multilocus variable-number tandem-repeat analysis, amplified fragment length polymorphism, and surface layer protein A gene sequence typing. J Clin Microbiol 46: 431-437. doi: 10.1128/JCM.01484-07
![]() |
[95] | Griffiths D, Fawley W, Kachrimanidou M, et al. (2009) Multilocus sequence typing of Clostridium difficile. J Clin Microbiol 48: 770-778. |
[96] |
van den Berg RJ, Schapp I, Templeton KE, et al. (2007) Typing and subtyping of Clostridium difficile isolates using multiple-locus variable-number tandem-repeat analysis. J Clin Microbiol 45: 1024-1028. doi: 10.1128/JCM.02023-06
![]() |
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Childhood screen n (%) (N=88) | Adulthood screen n (%) (N=78) | |
No ADHD | 48 (54.55%) | 62 (79.49%) |
ADHD | 40 (45.45%) | 16 (20.51%) |
Combined | 25 (62.50%) | 9 (56.25%) |
Hyperactive/impulsive | 8 (20.00%) | 5 (31.25%) |
Inattentive | 7 (17.50%) | 2 (12.50%) |
Childhood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 12.00 | 3.00 | 138.50* | 0.64 |
Current impairment median | 9.00 | 1.00 | 82.50* | 0.64 |
Adulthood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 18.00 | 4.50 | 91.00 | 0.58 |
Current impairment median | 12.00 | 2.00 | 48.00 | 0.61 |
Childhood screen n (%) (N=88) | Adulthood screen n (%) (N=78) | |
No ADHD | 48 (54.55%) | 62 (79.49%) |
ADHD | 40 (45.45%) | 16 (20.51%) |
Combined | 25 (62.50%) | 9 (56.25%) |
Hyperactive/impulsive | 8 (20.00%) | 5 (31.25%) |
Inattentive | 7 (17.50%) | 2 (12.50%) |
Childhood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 12.00 | 3.00 | 138.50* | 0.64 |
Current impairment median | 9.00 | 1.00 | 82.50* | 0.64 |
Adulthood screening results | ||||
ADHD | No ADHD | Mann-Whitney U | Effect size (r) | |
Childhood impairment median | 18.00 | 4.50 | 91.00 | 0.58 |
Current impairment median | 12.00 | 2.00 | 48.00 | 0.61 |