- Research article
- Open Access
- Open Peer Review
Second hand smoke exposure and the risk of invasive meningococcal disease in children: systematic review and meta-analysis
© Murray et al.; licensee BioMed Central Ltd. 2012
- Received: 4 April 2012
- Accepted: 22 November 2012
- Published: 10 December 2012
Invasive meningococcal disease remains an important cause of serious morbidity and mortality in children and young people. There is a growing body of literature to suggest that exposure to passive smoke may play a role in the development of the disease, therefore we have performed a systematic review to provide a comprehensive estimate of the magnitude of this effect for smoking by any household member, by individual family members, and of maternal smoking before and after birth.
Four databases (Medline, Embase, PsychINFO and CAB Abstracts database) were searched to identify studies (to June 2012) and reference lists scanned for further studies. Titles, abstracts and full texts were checked for eligibility independently by two authors. Quality of included studies was assessed using the Newcastle-Ottawa Scale. Pooled odds ratios (OR) with 95% confidence intervals (CI) were estimated using random effect models, with heterogeneity quantified using I2.
We identified 18 studies which assessed the effects of SHS on the risk of invasive meningococcal disease in children. SHS in the home doubled the risk of invasive meningococcal disease (OR 2.18, 95% CI 1.63 to 2.92, I2 = 72%), with some evidence of an exposure-response gradient. The strongest effect was seen in children under 5 years (OR 2.48, 95% CI 1.51 to 4.09, I2 = 47%). Maternal smoking significantly increased the risk of invasive meningococcal disease by 3 times during pregnancy (OR 2.93, 95% CI 1.52-5.66) and by 2 times after birth (OR 2.26, 95% CI 1.54-3.31).
SHS exposure, and particularly passive foetal exposure to maternal smoking during pregnancy, significantly increases the risk of childhood invasive meningococcal disease. It is likely that an extra 630 cases of invasive meningococcal disease annually in children under 16 are directly attributable to SHS exposure in UK homes.
- Second hand smoke
- Environmental tobacco smoke
- Invasive meningococcal disease
- Systematic review
Invasive meningococcal disease is a catastrophic illness that can have devastating effects. It is the most common cause of bacterial meningitis in the UK and Ireland, an important cause of serious morbidity and mortality in children and young adults  with nearly half of all cases of laboratory confirmed meningitis in England and Wales being aged under 14 years . With prompt medical intervention the majority of cases make a full recovery, but around 16% are left with at least one major adverse outcome, such as severe intellectual disability, epilepsy, spasticity or deafness, whilst nearly 5% of cases are fatal . At 7 and 12 years after infection, meningitis survivors demonstrate significantly lower IQ scores and higher incidences of neurological or behavioural disorders, and particularly those who developed meningitis during infancy and experienced neurological complications at the time of the illness [4, 5].
A growing body of literature suggests that exposure to second hand smoke (SHS) may play a role in the development of meningococcal disease. A recent meta-analysis limited to 16 large studies estimated this increase in risk at a relative odds of 2.30 (95% CI 1.74 to 3.06) among children with one or more parent who smoked . Another recent systematic review found exposure to SHS was associated with a two-fold increased risk of invasive meningococcal disease in those aged between 1 month and 19 years old , but this study did not explore the effects of smoking by different family members, or the effects of prenatal smoke exposure.
We have therefore carried out a full systematic review and meta-analysis of all available epidemiological evidence to provide a comprehensive estimate of the effect of SHS by different family members, and of pre- and post-natal maternal smoking, on the risk of invasive meningococcal disease in different stages of childhood.
Systematic review methods
We identified all comparative epidemiological studies (case–control, cross-sectional, cohort designs) assessing the association between SHS exposure and the risk of invasive meningococcal disease in children (aged < 18 years) through a comprehensive search of three electronic databases (Medline, Embase, and PsychINFO, searched to June 2012), by scanning reference lists of the included studies, and using the CAB Abstracts database (June 2012) to identify relevant conference abstracts. Case reports, case series and grey data were not included. The following search terms were used to identify studies (where ‘mp’ indicates the text was searched for in the abstract, titles, original titles, broad terms, and heading words; ‘/’ indicates MeSH terms, ‘exp’ indicates explosion of MeSH terms): tobacco.mp; cigarette smoke.mp; smoker.mp; smoking.mp; cigar.mp; exp tobacco/; exp tobacco dependence/; exp tobacco smoke/; exp cigarette smoke/; exp cigarette smoking/; exp smoking/; exp smoke/; exp "smoking and smoking related phenomena"/; exp adolescent smoking/; exp parental smoking/; exp passive smoking/; exp smoking habit/; exp smoking cessation/; exp Crowding/; exp tobacco smoke pollution/; second hand smoke.mp; meningitis.mp; septicaemia.mp; meninges.mp; bacterial meningitis.mp; viral meningitis.mp; fungal meningitis.mp; cryptococcal meningitis.mp; exp meningioma/; exp meningism/; exp meningitis/; exp central nervous system infection/; exp meninx disorder/; exp nervous system inflammation/; exp arachnoiditis/; exp aseptic meningitis/; exp bacterial meningitis/; exp epidemic meningitis/; exp fungal meningitis/; exp group b streptococcal meningitis/; exp haemophilus meningitis/; exp lymphocytic choriomeningitis/; exp meningoencephalitis/; exp pneumococcal meningitis/; exp primary amebic meningoencephalitis/; exp subdural empyema/; exp tuberculous meningitis/; exp virus meningitis/; exp vogt koyanagi syndrome/; exp septicemia/; exp sepsis/; exp candida meningitis/; exp cryptococcal meningitis/; exp meningitis, bacterial/; exp meningitis, meningococcal/; exp meningococcal infections/; exp meningitis, pneumococcal/; exp pneumococcal infections/; exp Streptococcus pneumoniae/; exp meningitis, haemophilus/; exp haemophilus infections/; meningitis, viral/; meningitis, aseptic/; virus diseases/; neisseria/; neisseria meningitidis/; neisseria meningitidis, serogroup a/; neisseria meningitidis, serogroup b/; neisseria meningitidis, serogroup c/; neisseria meningitidis, serogroup w-135/; neisseria meningitidis, serogroup y/. We imposed no language restrictions.
We included all sources of SHS exposure (parental, household, carer, other family members) measured by either self-report (typically by questionnaire) or biochemical markers of exposure such as cotinine in saliva. Exposures were classified as either in-utero, postnatal, infant, or childhood exposure. Studies of the effects of active smoking were excluded.
We included all studies with invasive meningococcal disease diagnosed clinically, and/or by laboratory confirmation through identification of pathogens in blood or CSF, as the outcome. We excluded studies of meningococcal carriage, and studies in which invasive meningococcal disease outcomes could not be clearly extracted from a broader group of diagnoses.
Titles and abstracts identified from the searches were checked for eligibility independently by two authors (either RLM and MM, or JLB and MM). Studies deemed not to be relevant were excluded at each stage. The full text of potentially eligible papers was sought and also checked for eligibility independently by two authors (either RLM and MM, or JLB and MM). Disagreements were resolved through discussion with a third author. Data from the included studies relating to a study design, participants, outcome measures and results were extracted using a piloted data extraction form independently by two authors (either RLM and MM, or JLB and MM). Any paper not published in English was translated at the relevant stage of screening, with data extracted as per English language papers.
Assessment of methodological quality
Studies deemed eligible for inclusion in the systematic review were scored for methodological quality using the Newcastle-Ottawa Assessment Scale . The scale consists of three categories relating to selection, comparability and ascertainment of exposure (for case–control and cross-sectional studies) or ascertainment of outcome (for cohort studies), with a maximum score of 9 being awarded for the highest quality studies. This process was performed independently by two authors (either RM and MM, or JLB and MM), with disagreements resolved through discussion with a third author. A score of six or more was taken to distinguish higher from lower quality studies.
Estimates of effect were extracted from the papers and analysed to estimate measures of effect either using unadjusted (crude) odds ratios (OR), or where possible, using adjusted ORs; with their associated 95% confidence intervals (CI). Meta-analysis was used to estimate the effects of SHS exposure and the risk of invasive meningococcal disease using random effects models, due to anticipated high levels of heterogeneity between the included studies. Separate analyses were carried out for each exposure measure (in-utero and childhood exposure) where possible. For studies which solely reported categories of cigarette consumption, we used the highest category of cigarette consumption for the analyses. Heterogeneity was quantified using recognised methods (I2) , and where high levels of heterogeneity (I2 > 50%) were detected between the studies we performed subgroup and sensitivity analyses to explore the effects age of the participants (<5 versus ≤18 years of age), ascertainment of disease (laboratory confirmed cases only versus case definition including non confirmed cases), and methodological quality of the studies (score <6 versus ≤6). Where extreme levels of heterogeneity were detected between the studies (I2 > 80%), we did not perform an overall meta-analysis.
Small study bias (publication bias) was assessed visually using a funnel plot and Eggers test for Asymmetry . The effect of publication bias was assessed using the ‘Tim and Fill’ procedure , by which the pooled OR and 95% CI are re-calculated after imputation of the results of hypothetically missing studies which would be needed to minimise the effect of publication bias. Statistical analysis was performed using Review Manager 5 (Review Manager (RevMan) [Computer program]. Version 5.0. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2008), and STATA version 11 MP (StataCorp LP, 4905 Lakeway Drive, College Station, TX, USA). P values <0.05 were taken as statistically significant. We adhered to the MOOSE guidelines throughout the review process .
Population attributable fraction estimation
We estimated the proportion of children in England (aged four to 15 years) who live in a household in which at least one person smokes using data from the Health Survey for England , and the formula p(OR-1)/[p(OR-1) + 1], in which p is the proportion of the cohort exposed to SHS (defined as the proportion of children who did not live in a smoke-free home, where a smoke-free home was defined as living in a home without regular smoking indoors), and OR the odds ratio for invasive meningococcal disease in children where a member of the household smokes, to estimate the proportion of children with invasive meningococcal disease attributable to household smoking exposure. We then used national invasive meningococcal disease incidence data for the UK  to estimate the number of disease episodes generated as a result of household SHS exposure.
Overview of included studies
Characteristics of included studies
Author & Year
Design and study population
Ascertainment of disease
Case–control: 202 cases, 313 controls
One or more smokers in household
Laboratory confirmed and probable
Case–control: 144 cases, 144 controls
Exposure to smokers, exposure to smoke.
Laboratory confirmed and probable
Case–control: 47 cases, 51 controls
State of Washington, USA
Case–control: 129 cases, 274 controls
Maternal smoking, passive tobacco smoke
Republic of Ireland
Case–control: 87 cases, 267 controls
Case–control: 115 cases, 61 patient controls, 293 population controls
Heavy/moderate smoke exposure
Laboratory confirmed and probable
Kassena-Nankana district, Ghana.
Case–control: 505 cases, 505 controls.
Laboratory confirmed and probable
Case control: 68 cases, 135 controls
Maternal smoking, Paternal smoking, Maternal smoking only, Paternal smoking only, Both parents smoking, Smoking at home per 20 cigarettes a day
Case control: 107 cases, 211 controls
Maternal smoking, Paternal smoking, another member of family
Laboratory confirmed and probable
Area covered by the SPHUN, Queensland, Australia
Case control: 62 cases, 79 controls
Passive tobacco smoke exposure, carer smoking.
Cape town metropolitan region, South Africa.
Case control: 70 cases, 210 controls
More than 2 Smokers per household, Main caregiver smokes
Laboratory confirmed and probable
Case control: 181 cases, 243 controls.
Under 15s: No. of smokers, Maternal smoking, Paternal smoking, Other smoking, No of cigarettes smoked by other at home <10, 10 – 20, 20>. Under 5s: No of cigarettes smoked; 10 to 29,30 to 59.
Laboratory confirmed and probable
Case control: 47 cases, 94 controls
Smoker amongst intimate contact.
Laboratory confirmed and probable
Case control: 462 cases, 9240 controls.
Laboratory confirmed and probable
Case control: 74 cases, 232 controls
Any household smoker, Smoking at home, Smoking on visits, Cigarettes smoked per day in home;1-9, 10-19, 20-29, 30 or more. Number of smokers in the household; None, One, Two, Three or more.
Case control: 105 cases, 105 controls.
Other smokers in the household
Laboratory confirmed and probable
Cohort: 144 cases, 144 controls
Multiple close contacts who smoke
Cohort: 283291 people, including 55 cases.
Mother smoked during pregnancy
The majority of the included studies used case–control designs, and two were cohort studies [43, 44]. Cases in the included studies were defined in different ways, with eight studies using only laboratory confirmed diagnosis [43–50] , with one taking cases identified by death certificates . In the remaining 10 studies, case definition allowed for both laboratory confirmed diagnoses and non-confirmed (probable) diagnoses, through clinical diagnosis of symptoms [51–60].
Methodological quality of studies and Publication Bias
The methodological quality scores for the included studies ranged from 3 to 9, with a median 6; 11 studies (61%) were deemed to be of a high quality (≥6). The median scores for the three categories were 3 for selection, 2 for comparability and 1.5 for ascertainment of exposure/outcome. Lower quality scores tended to arise from methods of selection and ascertainment of exposure/outcome.
Passive smoke exposure in the household
All of the included studies assessed exposure to SHS using questionnaires. A pooled analysis found exposure to SHS by any smoker in the household more than doubled the risk of invasive meningococcal disease (OR 2.18, 95% CI 1.63 to 2.92, I2 = 72%, 17 studies; Figure 2). Seventeen of the included papers were used in the meta-analysis, the exception being one that did not provide effect estimates; however, this study found a significant increase in the risk of meningitis in children <12 years who were exposed to moderate or heavy amounts of passive smoke (P < 0.001) .
Maternal or paternal smoking
Population attributable fraction
Health survey for England data indicate that in 2007, around 22% of children aged from four to 15 years lived in a household in which someone smokes (defined as the proportion of children who did not live in a smoke-free home, where a smoke-free home was defined as living in a home without regular smoking indoors) . Using the pooled odds ratio for household smoking from our meta-analysis (2.18) as the estimated relative risk of developing invasive meningococcal disease, the proportion of children developing invasive meningococcal disease likely to be attributable to exposure to smoking in the home is estimated at 20.6%. In 2008 there were approximately 3,070 events of invasive meningococcal disease in children under the age of 16 years in the UK . A 20.6% attributable fraction translates into approximately 630 new cases of invasive meningococcal disease each year arising from exposure to smoking in the home in the UK. Allowing for the effects of publication bias using the bias-corrected odds ratio for household smoking (1.59) results in a bias-corrected population attributable fraction of 11.5%, which translates to an additional 350 cases of invasive meningococcal disease per year arising from exposure to smoking in the home.
This systematic review and meta-analysis of all available epidemiological evidence of the effect of SHS exposure on the clinical manifestation of invasive meningococcal disease confirms that exposure to SHS in the household more than doubles the risk of invasive meningococcal disease, that this finding is consistent across both higher and lower quality studies, and is stronger for laboratory confirmed than clinically diagnosed outcomes. The effect appears to be particularly strong in households in which both parents smoke, and with prenatal or postnatal maternal smoking. The effects were strongest in children aged under five years. We estimate that around 630 UK cases of invasive meningococcal disease in children under 16 years are currently attributable to maternal or paternal smoking. With an estimated 5% mortality this translates into about 30 deaths per year.
Strengths and limitations
The data included in this review were included after comprehensive literature searches and hand searching of previous reviews and reference lists of published articles. Our findings are therefore likely to be representative of the true effect of SHS exposure on the development of invasive meningococcal disease. This review built on a recent meta-analysis that we performed as part of a broader review of the effects of passive smoking in children, for a Royal College of Physicians report . However, the meta-analysis was limited as it included clinically heterogeneous studies of meningococcal and other bacterial meningitis, and also included studies assessing the effects on meningococcal carriage. Furthermore, the review failed to investigate reasons for heterogeneity between the studies using subgroup analysis. In the current review, we have presented a more comprehensive systematic review which advances the findings previously published by addressing the limitations above. Further to the review published in 2010 , we were able to include an additional three eligible studies [44, 45, 55] which were previously not identified or included. Two of the included studies used very similar populations based on a surveillance program with data collection over the same period of time [48, 55]; however, both were included in the analyses as they contributed to different subgroup categories, therefore there was insufficient evidence to ascertain whether they were mutually exclusive. We imposed no language restrictions on the search, which allowed us to include all articles of interest. The current study was limited by an inability to adjust for a full range of confounders in the analyses due to large variations in the published papers. Higher quality studies tended to adjust for age, overcrowding and socio-economic status but this was not always the case, particularly in lower quality studies. Factors such as hygiene and exposure to other sources of smoke, such as from cooking (as found by Hodgson et al. 2001 ), were not commonly adjusted for and may have affected the results gained. There was also some evidence of publication bias towards smaller studies showing either a protective effect or no effect; however, the bias-corrected pooled estimate still demonstrated a strong and significant increase in the odds of invasive meningococcal disease associated with exposure to SHS. Varied definitions of SHS were used within the included studies and ranged from only including smoking from particular household members, for example based solely on exposure to smoking from the mother; through to assessing smoke exposure from more than one source, for example based on exposure to smoking from any household family members, visitors to the household, and exposure at day care settings. It would have been interesting to separate ‘exposure to smokers' from 'exposure to smoking' to investigate any differential effects, however, meaningful subgroup comparisons were not possible due to the numerous ways that the included studies defined passive smoke exposure, as indicated in Table 1. A further limitation of the review relates to the inability to assess whether there was evidence of effect modification, for example by crowded households, due to the studies not presenting their data in suitable formats to enable this.
This review has demonstrated that the increase in risk of invasive meningococcal disease is primarily due to smoking by the mother, either during pregnancy or post-natally. It is a difficult to disentangle the independent effects of smoking during pregnancy from that in the postnatal period due to the high concordance of smoking by the mother in the two periods; however smoking in pregnancy is known to increase the risk of other various childhood infections, for example lower respiratory infection . Only one study included in this review assessed the effect of smoking in pregnancy on the risk of invasive meningococcal disease , which demonstrated a substantial increase in risk; however, further well-conducted studies are needed to describe this association conclusively, and to assess the effect of SHS smoke exposure during different stages of pregnancy.
Sir Austin Bradford Hill’s postulates to review whether there is sufficient evidence in support of a causative role of SHS exposure on invasive meningococcal disease . The meta-analysis conducted in this review demonstrated a consistent, marked strength in association between SHS exposure and invasive meningococcal disease; however, the specificity criterion is unlikely to be met, since invasive meningococcal disease is known to be caused by factors other than exposure to SHS. In terms of temporal sequence, we only identified two cohort studies of passive smoking and invasive meningococcal disease [43, 44]; both of the studies were judged to be of high quality and both demonstrated clear marked increases. There was some evidence of a biological gradient where stronger magnitudes of effect were seen in those exposed to higher numbers of cigarettes smoked in the home per day [50, 57], specifically where no effect was seen in those exposed to less than 10 cigarettes per day, but a doubling in risk of invasive meningococcal disease was seen in those exposed to moderate amounts of cigarettes per day, and a 3 to 4 fold increase in those heavily exposed to cigarette smoke per day. In terms of biological plausibility and coherence with what is already known, the possible mechanisms for how SHS exposure may induce invasive meningococcal disease may be related to the effects of tobacco acting systemically reducing the defences of the nasopharyngeal mucosa against potential pathogens [46, 50]. However, current knowledge also suggests higher carriage rates in smoking parents , thus exposure to smoke in childhood may increase the exposure to the pathogen. Very little research has been performed to support the experimental evidence criterion by, for example, assessing the effects of smoking cessation in homes of children exposed to parental smoke on the reduced risk of invasive meningococcal disease, however, in terms of analogous evidence; there is growing evidence to suggest the causal effect of SHS exposure on other childhood infections. Therefore there seems to be some evidence to support SHS as a causative factor of invasive meningococcal disease.
The results of this study are limited to presentations of confirmed or clinically probable invasive meningococcal disease as these are the outcomes directly relevant to estimating the effect of SHS on disease risk. We did not explore the effects of SHS on carriage rate, though such studies would be of value to determine whether smoking increases the risk of disease through increased carriage, or increased progression to disease among those carrying the relevant pathogens.
Our results demonstrate a further means by which passive smoking presents a significant risk to the health and wellbeing of young children. Interventions to prevent SHS exposure to cigarette smoke from parents and other household members therefore remain an urgent priority.
Michael Morgan (MM) assisted with the screening of studies and data extraction of included studies. We are grateful to Dr Fiona Bath-Hextall, University of Nottingham, for her assistance in the translation of papers.
This work was supported by the University of Nottingham, project grant C1512/A11160 from Cancer Research UK, and by core funding to the UK Centre for Tobacco Control Studies (http://www.ukctcs.org) from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, and the Department of Health, under the auspices of the UK Clinical Research Collaboration.
- Close RM, Ejidokun OO, Verlander NQ, Fraser G, Meltzer M, Rehman Y, et al: Early diagnosis model for meningitis supports public health decision making. J Infect. 2011, 63 (1): 32-38. 10.1016/j.jinf.2011.03.013.View ArticlePubMedGoogle Scholar
- Health Protection Agency: Stauatory notifications of Infectious Diseases in England and Wales. 2009, Available from: http://www.hpa.org.uk/web/HPAwebFile/HPAweb_C/1281952671504 Google Scholar
- Baraff LJ, Lee SI, Schriger DL: Outcomes of bacterial meningitis in children: a meta-analysis. Pediatr Infect Dis J. 1993, 12: 389-394. 10.1097/00006454-199305000-00008.View ArticlePubMedGoogle Scholar
- Grimwood K, Anderson P, Anderson V, Tan L, Nolan T: Twelve year outcomes following bacterial meningitis: further evidence for persisting effects. Arch Dis Child. 2000, 83: 111-116. 10.1136/adc.83.2.111.View ArticlePubMedPubMed CentralGoogle Scholar
- Grimwood K, Anderson VA, Bond L, Catroppa C, Hore RL, Keir EH, et al: Adverse outcomes of bacterial meningitis in school-age survivors. Pediatrics. 1995, 95: 646-656.PubMedGoogle Scholar
- Royal College of Physicians: Passive smoking and children. 2010, London: A report by the Tobacco Advisory Group, RCP2010.Google Scholar
- Lee CC, Middaugh NA, Howie SR, Ezzati M: Association of secondhand smoke exposure with pediatric invasive bacterial disease and bacterial carriage: a systematic review and meta-analysis. PLoS Medicine / Public Library of. Science. 2010, 7 (12): e1000374-Google Scholar
- Wells G, Shea B, O’Connell D, Peterson J, Welch V, Losos M, Tugwell P: Newcastle-Ottawa scale (NOS) for assessing the quality of non randomised studies in meta-analysis. 2009, Available from: http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm Google Scholar
- Higgins JP, Thompson SG, Deeks JJ, Altman DG: Measuring inconsistency in meta-analyses. BMJ. 2003, 327 (7414): 557-560. 10.1136/bmj.327.7414.557.View ArticlePubMedPubMed CentralGoogle Scholar
- Egger M, Davey Smith G, Schneider M, Minder C: Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997, 315 (7109): 629-634. 10.1136/bmj.315.7109.629.View ArticlePubMedPubMed CentralGoogle Scholar
- Duval S, Tweedie R: A nonparametric “Trim and Fill” method of accounting for publication bias in meta-analysis. J Amer Statist Assoc. 2000, 95: 89-9.Google Scholar
- Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al: Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000, 283 (15): 2008-2012. 10.1001/jama.283.15.2008.View ArticlePubMedGoogle Scholar
- Blackwell CC, Weir DM, James VS, Todd WTA, Banatvala N, Chaudhuri AKR, et al: Secretor status, smoking and carriage of Neisseria meningitidis. Epidemiol Infect. 1990, 104 (2): 203-209. 10.1017/S0950268800059367.View ArticlePubMedPubMed CentralGoogle Scholar
- Cardenosa N, Dominguez A, Orcau A, Panella H, Godoy P, Minguell S, et al: Carriers of Neisseria meningitidis in household contacts of meningococcal disease cases in Catalonia (Spain). Eur J Epidemiol. 2001, 17 (9): 877-884. 10.1023/A:1015696513062.View ArticlePubMedGoogle Scholar
- Caugant DA, Hoiby EA, Magnus P, Scheel O, Hoel T, Bjune G, et al: Asymptomatic carriage of Neisseria meningitidis in a randomly sampled population. J Clin Microbiol. 1994, 32 (2): 323-330.PubMedPubMed CentralGoogle Scholar
- Davies AL, O'Flanagan D, Salmon RL, Coleman TJ: Risk factors for Neisseria meningitidis carriage in a school during a community outbreak of meningococcal infection. Epidemiol Infect. 1996, 117 (2): 259-266. 10.1017/S0950268800001436.View ArticlePubMedPubMed CentralGoogle Scholar
- Ercis S, Koseoglu O, Salmanzadeh-Ahrabi S, Ercis M, Akin L, Hascelik C: Ankara ili Cankaya ilcesi okullarindaki saglikli cocuklarda nazofaringeal Neisseria meningitidis tasiyicilik prevalansi, serogrup dagilimi ve antibiyotik direnci. Mikrobiyol Bul. 2005, 39 (4): 411-420.PubMedGoogle Scholar
- Fontanals D, Van Esso D, Pons I, Pineda V, Sanfeliu I, Mariscal D, et al: Prevalence of Neisseria meningitidis carriers in Cerdanyola population (Barcelona). [Spanish]. Enferm Infecc Microbiol Clin. 1995, 13 (7): 398-405.PubMedGoogle Scholar
- Kremastinou J, Blackwell C, Tzanakaki G, Kallergi C, Elton R, Weir D: Parental smoking and carriage of Neisseria meningitidis among Greek schoolchildren. Scand J Infect Dis. 1994, 26 (6): 719-723. 10.3109/00365549409008641.View ArticlePubMedGoogle Scholar
- Kremastinou J, Tzanakaki G, Velonakis E, Voyiatzi A, Nickolaou A, Elton RA, et al: Carriage of Neisseria meningitidis and Neisseria lactamica among ethnic Greek school children from Russian immigrant families in Athens. FEMS Immunol Med Mic. 1999, 23 (1): 13-20. Research Support, Non-U.S. Gov’t.View ArticleGoogle Scholar
- Neal KR, Nguyen-Van-Tam JS, Jeffrey N, Slack RC, Madeley RJ, Ait-Tahar K, et al: Changing carriage rate of Neisseria meningitidis among university students during the first week of term: cross sectional study. BMJ. 2000, 320 (7238): 846-849. 10.1136/bmj.320.7238.846.View ArticlePubMedPubMed CentralGoogle Scholar
- Simmons G, Martin D, Stewart J, Jones N, Calder L, Bremner D: Carriage of Neisseria meningitidis among household contacts of patients with meningococcal disease in New Zealand. Eur J Clin Microbiol Infect Dis. 2001, 20 (4): 237-242.PubMedGoogle Scholar
- O'Dempsey TJD, McArdle TF, Morris J, Lloyd-Evans N, Baldeh I, Laurence BE, et al: A study of risk factors for pneumococcal disease among children in a rural area of West Africa. Int J Epidemiol. 1996, 25 (4): 885-893. 10.1093/ije/25.4.885.View ArticlePubMedGoogle Scholar
- Pilishvili T, Zell ER, Farley MM, Schaffner W, Lynfield R, Nyquist AC, et al: Risk factors for invasive pneumococcal disease in children in the era of conjugate vaccine use. Pediatrics. 2010, 126 (1): e9-e17. 10.1542/peds.2009-2150.View ArticlePubMedGoogle Scholar
- Alobeidy ST, Hurewitz AN: Cigarette smoking and pneumococcal diseases. Clin Pulm Med. 2000, 7 (4): 219-220.Google Scholar
- Arnold C, Makintube S, Istre GR: Day care attendance and other risk factors for invasive Haemophilus influenzae type b disease. Am J Epidemiol. 1993, 138 (5): 333-340.PubMedGoogle Scholar
- Bredfeldt RC, Cain SR, Schutze GE, Holmes TM, McGhee LA: Relation between passive tobacco smoke exposure and the development of bacterial meningitis in children. Am Board Fam Pract. 1995, 8 (2): 95-98.Google Scholar
- Iles K, Poplawski NK, Couper RT: Passive exposure to tobacco smoke and bacterial meningitis in children. J Paediatr Child Health. 2001, 37 (4): 388-391. 10.1046/j.1440-1754.2001.00698.x.View ArticlePubMedGoogle Scholar
- Crane JMG, Keough M, Murphy P, Burrage L, Hutchens D: Effects of environmental tobacco smoke on perinatal outcomes: A retrospective cohort study. BJOG: Int J Obstet Gy. 2011, 118: 865-871. 10.1111/j.1471-0528.2011.02941.x.View ArticleGoogle Scholar
- Honish L, Soskolne CL, Senthilselvan A, Houston S: Modifiable risk factors for invasive meningococcal disease during an Edmonton, Alberta outbreak, 1999–2002. Can J Public Health Revue Canadienne de Sante Publique. 2008, 99 (1): 46-51.PubMedGoogle Scholar
- Huttunen R, Laine J, Lumio J, Vuento R, Syrjanen J: Obesity and smoking are factors associated with poor prognosis in patients with bacteraemia. BMC Infect Dis. 2007, 7: 13-10.1186/1471-2334-7-13.View ArticlePubMedPubMed CentralGoogle Scholar
- Metlay JP, Lautenbach E, Li Y, Shults J, Edelstein PH: Exposure to children as a risk factor for bacteremic pneumococcal disease: changes in the post-conjugate vaccine era. Arch Intern Med. 2010, 170 (8): 725-731. 10.1001/archinternmed.2010.53.View ArticlePubMedPubMed CentralGoogle Scholar
- Booy R, Pearce M, Sheridan J: Outbreak of group C meningococcal disease in Australian Aboriginal children . Lancet. 1995, 346 (8974): 572-574.View ArticlePubMedGoogle Scholar
- Dybing E, Sanner T: Passive smoking, sudden infant death syndrome (SIDS) and childhood infections. Hum Exp Toxicol. 1999, 18 (4): 202-205. 10.1191/096032799678839914.View ArticlePubMedGoogle Scholar
- Hofhuis W, Merkus PJ, de Jongste JC: Nadelige effecten van passief roken op het (ongeboren) kind. Ned Tijdschr Geneeskd. 2002, 146 (8): 356-359.PubMedGoogle Scholar
- Weisberg J, van Turennout M, Martin A: A neural system for learning about object function. Cereb Cortex. 2007, 17 (3): 513-521.View ArticlePubMedGoogle Scholar
- Burman LA, Norrby R, Trollfors B: Invasive pneumococcal infections: incidence, predisposing factors, and prognosis. Rev Infect Dis. 1985, 7 (2): 133-142. 10.1093/clinids/7.2.133.View ArticlePubMedGoogle Scholar
- Dickinson FO, Perez AE: Bacterial meningitis in children and adolescents: an observational study based on the national surveillance system. BMC Infect Dis. 2005, 5: 103-10.1186/1471-2334-5-103.View ArticlePubMedPubMed CentralGoogle Scholar
- Horton RE, Stuart J, Christensen H, Borrow R, Guthrie T, Davenport V, et al: Influence of age and carriage status on salivary IgA to Neisseria meningitidis. Epidemiol Infect. 2005, 133 (5): 883-889. 10.1017/S0950268805004097.View ArticlePubMedPubMed CentralGoogle Scholar
- Mebonia N, Eloshvili M, Malakmadze N, Chlikadze R, Maes E: Unexpected non-seasonal increase of bacterial meningitis cases in Georgia in 2009. Georgian Med News. 2010, 184–185: 44-50.PubMedGoogle Scholar
- Wang L, Cheng M: [Childhood passive smoking and purulent meningitis]. Chung-Hua Liu Hsing Ping Hsueh Tsa Chih Chinese. J Epidemiol. 1994, 15 (2): 107-109. Clinical Trial English Abstract.Google Scholar
- Deutch S, Labouriau R, Schonheyeder HC, Ostergaard L, Norgard B, Toft Sorensen H: Crowding as a risk factor of meningococcal disease in Danish preschool children: A nationwide population-based case–control study. Scand J Infect Dis. 2004, 36 (1): 20-23. 10.1080/00365540310017500.View ArticlePubMedGoogle Scholar
- Tully J, Viner RM, Coen PG, Stuart JM, Zambon M, Peckham C, et al: Risk and protective factors for meningococcal disease in adolescents: matched cohort study. BMJ. 2006, 332 (7539): 445-450. 10.1136/bmj.38725.728472.BE.View ArticlePubMedPubMed CentralGoogle Scholar
- Yusuf HR, Rochat RW, Baughman WS, Gargiullo PM, Perkins BA, Brantley MD, et al: Maternal cigarette smoking and invasive meningococcal disease: A cohort study among young children in Metropolitan Atlanta, 1989–1996. Am J Publ Health. 1999, 89 (5): 712-717. 10.2105/AJPH.89.5.712.View ArticleGoogle Scholar
- Conde MC, Brito MJ, Silvestre C, Garrote JM, Cordeiro Ferreira G: Risk factors for meningococcus disease in the child. Controlled study in a population of an area hospital in Portugal. [Spanish]. Rev Esp Pediatr. 2003, 59 (6): 504-508.Google Scholar
- Fischer M, Hedberg K, Cardosi P, Plikaytis BD, Hoesly FC, Steingart KR, et al: Tobacco smoke as a risk factor for meningococcal disease. Pediatr Infect Dis J. 1997, 16 (10): 979-983. 10.1097/00006454-199710000-00015.View ArticlePubMedGoogle Scholar
- Grein T, O’Flanagan D: Day-care and meningococcal disease in young children. Epidemiol Infect. 2001, 127 (3): 435-441.View ArticlePubMedPubMed CentralGoogle Scholar
- Kriz P, Bobak M, Kriz B: Parental smoking, socioeconomic factors, and risk of invasive meningococcal disease in children: a population based case–control study. Arch Dis Child. 2000, 83 (2): 117-121. 10.1136/adc.83.2.117. [Research Support, Non-U.S. Gov’t].View ArticlePubMedPubMed CentralGoogle Scholar
- McCall BJ, Neill AS, Young MM: Risk factors for invasive meningococcal disease in southern Queensland, 2000–2001. J Intern Med. 2004, 34 (8): 464-468. 10.1111/j.1445-5994.2004.00564.x.View ArticleGoogle Scholar
- Stanwell-Smith RE, Stuart JM, Hughes AO, Robinson P, Griffin MB, Cartwright K: Smoking, the environment and meningococcal disease: a case control study. Epidemiol Infect. 1994, 112 (2): 315-328. 10.1017/S0950268800057733. [Research Support, Non-U.S. Gov’t.View ArticlePubMedPubMed CentralGoogle Scholar
- Baker M, McNicholas A, Garrett N, Fafphm NJ, Stewart J, Koberstein V, et al: Household crowding a major risk factor for epidemic meningococcal disease in Auckland children. Pediatr Infect Dis J. 2000, 19 (10): 983-990. 10.1097/00006454-200010000-00009.View ArticlePubMedGoogle Scholar
- Coen PG, Tully J, Stuart JM, Ashby D, Viner RM, Booy R: Is it exposure to cigarette smoke or to smokers which increases the risk of meningococcal disease in teenagers?. Int J Epidemiol. 2006, 35 (2): 330-336.View ArticlePubMedGoogle Scholar
- Haneberg B, Tønjum T, Rodahl K, Gedde-Dahl TW: Factors preceding the onset of meningococcal disease, with special emphasis on passive smoking, symptoms of ill health. NIPH Ann. 1983, 6 (2): 169-173.PubMedGoogle Scholar
- Hodgson A, Smith T, Gagneux S, Adjuik M, Pluschke G, Mensah NK, et al: Risk factors for meningococcal meningitis in northern Ghana. T Roy Soc Trop Med H. 2001, 95 (5): 477-480. 10.1016/S0035-9203(01)90007-0.View ArticleGoogle Scholar
- Krizova P, Kriz B: Factors affecting the occurrence and development of invasive meningococcal disease and development of Neisseria meningitis carrier state--results of a nationwide prospective questionnaire survey of cases and controls. [Czech]. Epidemiologie, mikrobiologie, imunologie: casopis Spolecnosti pro epidemiologii a mikrobiologii Ceske lekarske spolecnosti JE. 1999, 48 (4): 140-152.Google Scholar
- Moodley JR, Coetzee N, Hussey G: Risk factors for meningococcal disease in Cape Town. South African Medical Journal. [Case Reports Research Support, Non-U.S. Gov’t]. Jan;Suid-Afrikaanse Tydskrif Vir Geneeskunde. 1999, 89 (1): 56-59.Google Scholar
- Pereiro I, Diez-Domingo J, Segarra L, Ballester A, Albert A, Morant A: Risk factors for invasive disease among children in Spain. J Infect. 2004, 48 (4): 320-329. 10.1016/j.jinf.2003.10.015.View ArticlePubMedGoogle Scholar
- Robinson P, Taylor K, Nolan T: Risk-factors for meningococcal disease in Victoria, Australia, in 1997. Epidemiol Infect. 2001, 127 (2): 261-268.View ArticlePubMedPubMed CentralGoogle Scholar
- Sorensen HT, Labouriau R, Jensen ES, Mortensen PB, Schonheyder HC: Fetal growth, maternal prenatal smoking, and risk of invasive meningococcal disease: a nationwide case–control study. Int J Epidemiol. 2004, 33 (4): 816-820. 10.1093/ije/dyh169.View ArticlePubMedGoogle Scholar
- Stuart JM, Cartwright KAV, Dawson JA, Rickard J, Noah ND: Risk factors for meningococcal disease: A case control study in South West England. Community Med. 1988, 10 (2): 139-146.PubMedGoogle Scholar
- Jones LL, Hashim A, McKeever T, Cook DG, Britton J, Leonardi-Bee J: Parental and household smoking and the increased risk of bronchitis, bronchiolitis and other lower respiratory infections in infancy: systematic review and meta-analysis. Respir Res. 2011, 12: 5-10.1186/1465-9921-12-5.View ArticlePubMedPubMed CentralGoogle Scholar
- Hill BA: The environment and disease: Association of Causation? Section of Occupational Medicine. Proc R Stat Soc Med. 1965, 58: 295-300.Google Scholar
- Stuart JM, Robinson PM, Cartwright KAV, Noah ND: Effect of smoking on meningococcal carriage. Lancet. 1989, 2 (8665): 723-725.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/1062/prepub
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