Hostname: page-component-848d4c4894-ttngx Total loading time: 0 Render date: 2024-05-23T04:34:42.233Z Has data issue: false hasContentIssue false
  • English
  • Français

Associations between early infections and childhood cognition in the Newcastle Thousand Families Study birth cohort

Published online by Cambridge University Press:  29 November 2023

Erin Pennock ,
Emma L. Slack ,
Jess A. Grebby ,
Lara N. Forster  and
Mark S. Pearce Open the ORCID record for Mark S. Pearce [Opens in a new window]
Erin Pennock
Affiliation:
School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
Emma L. Slack
Affiliation:
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
Jess A. Grebby
Affiliation:
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK School of Psychology, Newcastle University, Newcastle upon Tyne, UK
Lara N. Forster
Affiliation:
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
Mark S. Pearce*
Affiliation:
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
*
Corresponding author: Mark S. Pearce; Email: mark.pearce@newcastle.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Childhood infections have been shown to stunt growth, contribute to malnutrition and reduce cognition in early adulthood. This study aimed to assess relationships between early life infections and childhood cognition at age 11 years in the Newcastle Thousand Families Study (NTFS). The analysis included 741 members from the NTFS who had complete data for infections between birth and 5 years, and the 11-plus examinations. School records from the 11-plus examinations showed cognitive (IQ), English (EQ) and arithmetic (AQ) abilities. Housing conditions, overcrowding, birth order and social class were recorded at birth. Helicobacter pylori seropositivity was measured at age 49–51 years. Multivariable linear regression was used to examine relationships between infections and cognition. The total number of infections in the first 5 years of life was not significantly associated with IQ, EQ or AQ, nor were there significant relationships between cognitive outcomes and most infections. Tonsillitis did display a positive, significant association with IQ after adjustment for confounders (b = 6.43, 95% CI 0.92, 11.94, p = 0.022). Lower respiratory tract infections (LRTIs) showed significant negative relationships with all cognitive outcomes. H. pylori seropositivity at age 50 exhibited negative, significant relationships with EQ (p = 0.014) and AQ (p = 0.024) after adjustment for confounders. Although no significant relationship between overall infections and cognition were found, there were indications that LRTIs and gastrointestinal system infections may limit cognitive development. Given these infections remain prevalent, further research regarding severity and recurrence of infections and how they affect childhood cognition is needed.

Keywords

Cohort studiesinfectionscognitionepidemiology
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 14 , Issue 5 , October 2023 , pp. 648 - 657
Check for updates
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with The International Society for Developmental Origins of Health and Disease (DOHaD)

Introduction

Childhood cognition at ages 8 and 9 strongly relates to later educational and occupational achievement, independently of factors such as childhood behaviour and family social status. Reference Fergusson, Horwood and Ridder1 It is therefore important to understand how events in early life impact childhood cognition and the wider implications this may have for both individuals and society. One estimate proposes that more than 200 million children, under 5 years of age, in low- and middle-income countries are not reaching their full developmental potential due to factors such as repeated childhood infection, potentially equating to a 20% deficit in adult income. Reference Grantham-McGregor, Cheung and Cueto2

Evidence for infection impacting cognition is mixed. In low- and middle-income countries, diarrhoeal diseases are a leading cause of mortality and morbidity in children. Reference Niehaus, Moore and Patrick3,Reference Ugboko, Nwinyi, Oranusi and Oyewale4 Research has shown that early childhood diarrhoea (ECD) may impact cognition in later childhood. Reference Niehaus, Moore and Patrick3,Reference Pinkerton, Oriá and Lima5 Children who had previously been infected with measles or pertussis were also shown to have lower verbal reasoning scores at age 11 compared to peers, although a lack of adjustment for confounders did limit the validity of that study. Reference McKeown and Record6 Similarly, analysis of the Avon Longitudinal Study of Parents and Children found no strong correlation between infection and intelligence at 8 years of age. Reference MacKinnon, Zammit, Lewis, Jones and Khandaker7 Conversely, studies in Swedish and Danish adult males showed that infection was associated with lower IQ at 18 and 19 years of age, respectively. Reference Benros, Sørensen and Nielsen8,Reference Khandaker, Dalman and Kappelmann9 The Danish study recorded a dose–response relationship between number of hospitalisations due to infection and cognitive ability. Reference Benros, Sørensen and Nielsen8 However, these studies were conducted exclusively in males, and cognition was measured later in life Reference Benros, Sørensen and Nielsen8,Reference Khandaker, Dalman and Kappelmann9 when compared to the childhood studies mentioned previously. Reference McKeown and Record6,Reference MacKinnon, Zammit, Lewis, Jones and Khandaker7 The focus, also, was not specifically on childhood infections in the Swedish and Danish studies. These conflicting findings highlight the need for research assessing the effect of infections upon cognition.

An earlier study on the Newcastle Thousand Family birth cohort found that there was a significant positive association between IQ at 11 years and standardised height at ages 9 and 13 years. Reference Pearce, Deary, Young and Parker10 We have also previously shown that cognition at age 11 in the cohort is associated with achieved education levels in males, but not females, most likely due to gender inequalities in access to further education in this cohort. Reference Forrest, Hodgson, Parker and Pearce11

Childhood infections have been shown to be significantly associated with differences in adult height between monozygotic twins. Reference Hwang, Mack and Hamilton12 Many infections, especially when recurrent, are known to be a large factor contributing to impaired growth in early childhood. Reference Grantham-McGregor, Cheung and Cueto2,Reference Dewey and Mayers13,Reference Stephensen14 When infected, children can become malnourished due to lack of appetite, impaired nutrient absorption or increased metabolic needs. Reference Stephensen14 The associations between infections and height and the associations between height and IQ suggest that childhood infection may also impact upon cognition.

This study aimed to examine the relationship between early life infections and childhood cognition at age 11 years in the Newcastle Thousand Families Study (NTFS) birth cohort, Reference Pearce, Unwin, Parker and Craft15 considering potential confounding factors.

Method

The NTFS is a prospective birth cohort study which initially enrolled all 1142 children born to mothers resident in the city of Newcastle upon Tyne in May and June 1947. Reference Pearce, Unwin, Parker and Craft15 During childhood, the health, growth and development of study members were recorded by the study team, including health visitors and paediatricians. Reference Pearce, Unwin, Parker and Craft15

Visits were routine and on an ad hoc basis in the first 5 years of life. Reference Pearce, Unwin, Parker and Craft15 Once in school, the children were visited at least once a year to record height, weight and other health measures until the age of 15 years. Reference Pearce, Unwin, Parker and Craft15

Infections included in these analyses and recorded between birth and age 5, by health visitors, included measles, mumps, scarlet fever, pertussis, rubella, chicken pox, tuberculosis, influenza, ear infections and lower (LRTIs) and upper respiratory infections (URTIs). Tonsillitis, pertussis, diarrhoea and otorrhea in the first year of life were also recorded and included in these analyses. Helicobacter pylori (H. pylori) seropositivity at age 49–51 years of age was measured as part of an adult follow-up of the cohort. Although recorded much later in life, H. pylori is commonly acquired in very early life and seropositivity can persist into adulthood. Reference Pearce, Unwin, Parker and Craft15 Hence, we treat this measure as a proxy for H. pylori infection in early childhood.

Access to school records allowed for the analysis of 11-plus examinations results from 1958. Four tests were used during these examinations in Newcastle: Moray House Tests 57 and 58 (verbal reasoning) and two standardised tests of English (EQ) and Arithmetic (AQ) ability. Reference Miller16 The average of these four tests was used to give an IQ score for each child, being a combination of verbal reasoning as well as English and arithmetic ability. Reference Pearce, Deary, Young and Parker10 IQ, EQ and AQ were the cognitive outcomes in this study.

In addition to clinical data, social class and housing data were recorded at birth and throughout childhood. Reference Pearce, Unwin, Parker and Craft15 Social class at birth was recorded relative to paternal occupation using the contemporary United Kingdom Registrar General’s Standard Occupational Classification. Reference Pearce, Unwin, Parker and Craft15 The five categories of social class were I (professional), II (managerial), III (skilled manual or clerical), IV (semi-skilled) and V (unskilled), where I (professionals) were assumed to be the most advantaged. Reference Forrest, Hodgson, Parker and Pearce17,Reference Parker, Lamont and Wright18 Housing conditions at birth were recorded by the city’s Public Health Department using a scoring system. Reference Forrest, Hodgson, Parker and Pearce17,Reference Lamont, Parker and White19 A score of 0 denoted no adverse conditions and 4 denoted more than three adverse conditions. Adverse conditions consisted of overcrowding, lack of hot water, shared toilet, dampness and poor repair. Overcrowding was also recorded separately, being defined as more than two persons in a dwelling with one room, three persons in two rooms, five in three rooms, eight or more in four rooms and more than two people per room in dwellings of five or more rooms. Birth order was also recorded. These variables were treated as potential confounders and were included in the multivariable analysis.

Statistical analysis

A total infection variable was generated, indicating the total number of infections in the first 5 years for each participant including, tonsillitis, pertussis, ear infections, mumps, measles, scarlet fever, tuberculosis, flu, chicken pox, rubella, LRTI and URTI. For infections which participants had contracted repeatedly (e.g., tonsillitis) the recorded data indicated the number of infections. Therefore, binary variables were also created, yes/no variables simply denoted whether participants had experienced, e.g., tonsillitis or not, regardless of repeated infection.

The representativeness of the study sample used in this investigation was compared to the remainder of the original birth cohort using chi-squared tests. The median and interquartile range were calculated for continuous, non-normal data. Participants missing complete data for cognitive outcomes or infection data at 5 years were excluded from the analyses.

Relationships between IQ, EQ or AQ and each infection were estimated using linear regression. Univariate linear regression was first used to determine initial relationships between cognitive outcomes and each infection with significant relationships recorded when p < 0.05. This was followed by multivariable linear regressions allowing for identification of confounding variables. Social class, housing score, overcrowding and birth order were added individually to determine whether they were confounders. Results were stratified by sex to identify sex interactions between infection and cognition. Stratified models showing significant sex interaction (p < 0.05) were then adjusted for confounders. The statistical software package Stata, Version 17.0, was used for all statistical analyses (StataCorp, College Station, TX).

Results

Of the 1142 children in the original cohort, 747 (65%) had complete IQ data. Of these 747 children, 741 had complete data for infections recorded between ages 0 and 5 years. Two of these children were missing data for pertussis and tonsillitis from the first year of life but remained in the study sample (Table 1). Data for H. Pylori seropositivity at 50 years and diarrhoea in the first year of life were more limited with only 45.75% (n = 339) and 4.86% (n = 36) of the study sample having these data available, respectively.

Table 1. Descriptive characteristics for the categorical variables for the original cohort and the study sample used in this investigation including the p-values obtained from a chi-squared test to determine whether the study sample is representative of the original cohort

* LRTI = lower respiratory tract infections.

** URTI = upper respiratory tract infections.

a H. Pylori seropositivity measured at age 50 years.

Descriptive characteristics for the study sample and original cohort can be seen in Tables 1 and 2. The study sample was representative of the remainder of the original cohort for sex, overcrowding, tonsillitis, otorrhea, pertussis, LRTIs, tuberculosis, flu, rubella and diarrhoea (Table 1). The mean IQ at age 11 from the Medical Research Council National Survey of Health and Development cohort born in the year 1946 was 102.1, 20 slightly higher than the median calculated in this study (Table 2).

Table 2. Descriptive characteristics for the continuous, non-normal variables for the original cohort and the study sample used in this investigation, including the median and interquartile range (IQR) for each cognitive outcome

The most common infection amongst the study sample was URTIs with a frequency of 97.44%. Reports of measles and LRTIs were also high relative to other infections with over 50% of the sample having experienced at least one of these infections (Table 1).

Regression analysis

Univariate analyses showed no significant associations between any of the cognitive outcomes and pertussis in the first year, or ear infections, URTIs, measles, mumps, scarlet fever, flu, chicken pox or rubella in the first 5 years. Further, few infections showed significant associations to cognitive outcomes. Otorrhea in the first year, as a binary variable, was negatively associated to both IQ (p = 0.038) and AQ (p = 0.035). Similarly, pertussis in the first 5 years was negatively associated with EQ (p = 0.04) and TB was negatively associated with AQ (p = 0.016). Diarrhoea was negatively associated with IQ (p = 0.036) and EQ (p = 0.014). None of these relationships remained significant once adjusted for confounding variables (Tables 3–5).

Table 3. Results of multivariable linear regressions relating IQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

* LRTI = lower respiratory tract infections.

** URTI = upper respiratory tract infections.

a H. Pylori seropositivity measured at age 50 years.

Table 4. Results of multivariable linear regressions relating EQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

* LRTI = lower respiratory tract infections.

** URTI = upper respiratory tract infections.

a H. Pylori seropositivity measured at age 50 years.

Table 5. Results of multivariable linear regressions relating AQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

* LRTI = lower respiratory tract infections.

** URTI = upper respiratory tract infections.

a H. Pylori seropositivity measured at age 50 years.

Univariate analysis found tonsillitis in the first year (binary) to be positively associated with IQ (p = 0.048). This remained significant following adjustment for social class (Table 3). The number of tonsillitis infections was not significantly associated with IQ (p = 0.072) however following adjustment for social class the relationship became significant (Table 3).

LRTIs in the first 5 years in both the binary and ordinal form showed negative associations with all cognitive outcomes during univariate analysis (p < 0.005). After adjustment for confounding variables such as social class, housing score and overcrowding, these significant relationships only remained between LRTIs and AQ (Table 5).

H. pylori seropositivity at 50 years was also negatively associated with IQ (p = 0.003), EQ (p < 0.001) and AQ (p < 0.001) during univariate analyses. Following adjustment H. pylori was only significantly associated with EQ and AQ (Tables 3–5).

Interactions

Sex interactions were found to be significant in the regression models for tuberculosis and IQ (p = 0.047), EQ (p = 0.008) and AQ (p = 0.005). Females showed significant, negative relationships between tuberculosis and IQ, AQ and EQ whereas there were no significant relationships between tuberculosis and the cognitive outcomes in males who showed weaker relationships between tuberculosis and cognitive outcomes. These sex interactions remained significant for the regression models for tuberculosis and IQ, EQ and AQ following adjustment (Table 6). For regressions between cognitive outcomes and tonsillitis, otorrhea, pertussis, ear infections, LRTIs, URTIs, measles, mumps, scarlet fever, flu, chicken pox, rubella and diarrhoea, no significant sex interactions were found.

Table 6. Adjusted stratified analysis of linear regressions relating cognitive outcomes to infections which were found to have significant interactions with sex prior to adjustment, along with the results of a test for interaction between sex and each infection in the relevant regression models. The linear regressions in these stratified analyses were adjusted for confounding variables as marked on the table: social class at birth (∼), housing score at birth (†) and overcrowding (¤)

* TB = Tuberculosis.

a H. Pylori seropositivity measured at age 50 years.

H. pylori seropositivity significantly interacted with sex in the regressions between IQ and H. pylori (p = 0.015) and EQ and H. pylori (p = 0.048). When H. pylori was regressed against IQ and EQ for each sex, males showed significant, negative associations whereas females showed no significant associations. This interaction remained significant in the regressions between H. pylori and IQ and EQ after adjustment for social class, housing score and overcrowding (Table 6).

Discussion

Principal findings

In this study, we found a limited number of significant associations between cognitive outcomes and recognised infections. Tonsillitis in the first year of life was significantly associated with IQ even after adjustment for social class. This relationship was positive, suggesting an increase in IQ in children who had experienced tonsillitis. As such, it is likely that reporting of tonsillitis was better in mothers who were more educated and tied to care seeking behaviours, perhaps explaining this relationship. LRTIs from 0 to 5 years were negatively associated with all three cognitive outcomes. However, only the relationship with AQ remained significant after adjustment. H. pylori seropositivity at 50 years was also negatively associated with all three cognitive outcomes, yet only the associations with EQ and AQ remained significant following adjustment. Significant sex interaction was seen in the regressions between cognitive outcomes and H. pylori and tuberculosis.

Comparisons with other studies

A study on children born in Birmingham during the early 1950’s by McKeown et al. showed a relationship between lower verbal reasoning scores at age 11 and children who had previously been infected with pertussis or measles in the first 5 years of life. Reference McKeown and Record6 It was proposed that these infections may interfere with the central nervous system. Reference McKeown and Record6 For example, in extreme cases measles can cause encephalitis whilst critical pertussis can result in convulsions and encephalopathy. Reference Fisher, Defres and Solomon21,Reference Berger, Villalobos and Clark22 Childhood encephalitis has been linked to lower IQ later in childhood (mean age at time of cognitive assessment was 11.3 years). Reference Pöyhönen, Setänen and Isaksson23 The results of the present investigation were not reflective of McKeown et al., study on children in Birmingham, as measles was not significantly associated to cognitive outcomes. However, McKeown et al. noted that adjustment was limited and as such there was a possibility that the relationships between cognition and infections were not completely valid. Reference McKeown and Record6 All regression models between cognitive outcomes and measles in this study were adjusted for confounders, perhaps explaining the difference in conclusions.

In the present study, pertussis from 0 to 5 years showed a negative relationship with EQ scores which was lost to adjustment with social class and housing score. These results were reflected in a study by Johnston et al. Reference Johnston, Anderson, Lambert and Patel24 The study found that children hospitalised with pertussis had significantly lower reading ages as a percentage of their real age when compared to controls, but these results were no longer significant once models were adjusted for social class and parental smoking. Reference Johnston, Anderson, Lambert and Patel24

ECD in the first 2 years of life has been correlated with poorer cognitive abilities 4–7 years later in children in Brazil. Reference Niehaus, Moore and Patrick3,Reference Pinkerton, Oriá and Lima5 The present investigation also found diarrhoea to be associated with lower cognitive abilities albeit, in a different study setting. However, this did not remain following adjustment for confounders. Conversely, Niehaus et al. found a significant relationship between cognition and ECD, which remained despite adjustment for maternal education and breastfeeding. Reference Niehaus, Moore and Patrick3 A later, larger study on Peruvian children found diarrhoea in the second year of life to be significantly associated to cognitive test scores at age nine, this was lost after adjustment for confounding variables, similar to the present study. Reference Berkman, Lescano, Gilman, Lopez and Black25 A number of studies have provided a link between enteric infections, diarrhoea and reduced cognitive outcomes Reference Niehaus, Moore and Patrick3,Reference Pinkerton, Oriá and Lima5,Reference Berkman, Lescano, Gilman, Lopez and Black25,Reference Upadhyay, Taneja and Ranjitkar26 however the cause of this is uncertain. Some hypothesise that damage to the intestine reduces nutrient uptake and thus cognitive development is impaired by malnutrition, Reference Grantham-McGregor, Cheung and Cueto2,Reference Petri, Miller and Binder27 yet Pinkerton et al. found diarrhoea in children to affect cognition independent of malnutrition. Reference Pinkerton, Oriá and Lima5 As such, this area requires more research, particularly investigating causes of diarrhoea such as specific enteric pathogens and how they interact with cognitive development. In light of findings in more recent studies, it would also be useful to improve measures of childhood infections (with and without overt symptoms) and of intestinal or systemic inflammation, for example using quantitative molecular pathogen detection and biomarkers, respecitively, Reference Liu, Platts-Mills and Juma28 and assess how they may interact with cognitive development.

Studies on the effect of H. pylori seropositivity on cognition in children are limited. One study carried out in an Israeli Arab population found that H. pylori-positive children between the ages of 6 and 9, living in one of the more affluent villages in the study, had lower IQ, non-verbal and verbal reasoning scores than their uninfected peers. Reference Muhsen, Ornoy, Akawi, Alpert and Cohen29 The present study also showed significant relationships between H. pylori seropositivity and cognitive outcomes. Studies have shown associations between H. pylori seropositivity and iron deficiency in children. Reference Baggett, Parkinson, Muth, Gold and Gessner30,Reference Muhsen, Barak and Shifnaidel31 This may provide an explanation for the reduced cognitive abilities seen in H. pylori-positive children as iron deficiency anaemia in early life has been linked with reduced cognitive performance later in childhood. Reference Lozoff, Jimenez and Smith32 A study looking at ferritin levels in children with and without H. pylori, a greater percentage of the seropositive females had lower ferritin levels than seropositive males. Reference Muhsen, Barak and Shifnaidel31 The present study found males to have a much stronger negative correlation between H. pylori seropositivity and cognitive outcomes than females. These opposing results may suggest that iron deficiency is not the only factor contributing to reduced cognition because of H. pylori infection. Alternatively, the present study measured H. pylori at 50 years and although research suggests this infection is commonly contracted in early life, Reference Webb, Knight and Greaves33 the studies mentioned above measured seropositivity in childhood likely providing more accurate results. Reference Muhsen, Ornoy, Akawi, Alpert and Cohen29–Reference Muhsen, Barak and Shifnaidel31 Further, we cannot rule out an element of reverse causation whereby H. pylori infection risk is higher in those with lower cognition.

There was also significant sex interaction in the relationships between tuberculosis and cognitive outcomes in the present study. Females had more pronounced negative correlations between tuberculosis and cognitive outcomes. Many studies recognise that tuberculous meningitis, a severe complication associated with tuberculosis, can have implications for cognitive development in children. Reference Rohlwink, Donald and Gavine34–Reference Mohan, Rakesh, Moses and Varkki36 Data from the present study did not specify the severity of tuberculosis infections in study members, thus limiting comparability with other studies. The studies on the effects of tuberculous meningitis on cognition did not stratify results for each sex, Reference Rohlwink, Donald and Gavine34–Reference Mohan, Rakesh, Moses and Varkki36 although in one study mortality in females was higher. This indicates a need for more research on the effects of tuberculosis between sexes.

There is little data on how LRTIs impact cognition. One study showed that children with LRTIs in the first year of life had significantly decreased lung function at age 11, Reference Castro-Rodríguez, Holberg and Wright37 whilst another showed that better lung function in children was associated with increased cognitive test scores (mean age 9.9 years). Reference Suglia, Wright, Schwartz and Wright38 It could therefore be proposed that LRTIs may be linked to reduced cognition by diminishing lung function in infected individuals. More research should be carried out to determine whether these deficits may result in cognitive delays later in childhood, as well as the potential long-term consequences on factors such as respiratory health, as well as education, employment and income.

Since the beginning of the NTFS the number of childhood vaccinations offered in the UK has vastly increased, Reference Millward39 leading to reduction, and in some cases eradication, of many infectious diseases. Reference Rodrigues and Plotkin40,Reference Greenwood41 This provides promise that the impact of infections upon cognition may be limited, in time, by the wider availability of vaccinations. Studies have shown that children who had received vaccinations against common childhood infections such as measles and pertussis had better cognitive outcomes than their unvaccinated counterparts. Reference Joe and Kumar Verma42,Reference Bloom, Canning and Shenoy43 This highlights the wider importance of vaccination against childhood infections, including the need for better control of infections that we do not currently have vaccines for.

Strengths and weaknesses

The NTFS is a prospective study, therefore, data collected at birth such as social class and housing score were not reliant on recall. Furthermore, childhood infection data were collected regularly over the first 5 years of life, also limiting any bias due to recall. However, some of the infections recorded have varied symptoms and do not always require medical attention or professional diagnosis. For example, tonsillitis and ear infections may have been reported by some parents or health visitors and not by others due to different interpretations of symptoms. Similarly, H. pylori seropositivity was recorded at 50 years, therefore, we cannot be sure that every seropositive study member was infected during childhood. Further, data on diarrhoea in the first year was extremely limited. We cannot rule out residual confounding. For example, maternal education and breastfeeding have been reported to impact upon cognitive development in children Reference Quigley, Hockley and Carson44,Reference Bradley, Whiteside and Caldwell45 and may have influenced the relationship between infections and cognition. We were also unable to account for potential mediators between early infections and childhood cognition, such as associations with brain injury, or infection rates later in childhood, which may in turn be related to factors such as absence from school. Finally, this study generated several regression models, and false positives may have occurred due to multiple testing.

Conclusion

In this investigation, LRTIs and H. pylori seropositivity showed significant, negative relationships with cognitive outcomes which, in some cases remained even after adjustment for confounding variables. This research suggests that specific childhood infections, particularly those which affect the gastrointestinal and pulmonary systems, may impair cognitive development resulting in reduced cognitive performance at 11 years. Further research should address how infections impact cognition in more detail, focusing on the severity and recurrence of specific infections, including more accurate exposure data, and the potential mediating pathways.

Acknowledgements

This paper initially resulted from the lead author’s BSc final dissertation at Newcastle University. LF’s involvement was funded through her NIHR Pre-doctoral fellowship in epidemiology. We are grateful to the efforts of the previous research teams that initially collected the data used in this analysis and, as always, our main thanks go the study members and their families.

Financial support

None.

Competing interests

None.

Ethical standard

This study was performed in line with the principles of the Declaration of Helsinki. Approval for data collection was granted by the appropriate Local Research Ethics Committees and anonymised data were used for this analysis.

References

Fergusson, DM, Horwood, LJ, Ridder, EM. Show me the child at seven II: childhood intelligence and later outcomes in adolescence and young adulthood. J Child Psychol Psychiatry. 2005; 46, 850–858.10.1111/j.1469-7610.2005.01472.xCrossRefGoogle ScholarPubMed
Grantham-McGregor, S, Cheung, YB, Cueto, S, et al. Developmental potential in the first 5 years for children in developing countries. The Lancet. 2007; 369, 60–70.10.1016/S0140-6736(07)60032-4CrossRefGoogle ScholarPubMed
Niehaus, MD, Moore, SR, Patrick, PD, et al. Early childhood diarrhea is associated with diminished cognitive function 4 to 7 years later in children in a northeast Brazilian shantytown. Am J Trop Med Hyg. 2002; 66, 590–593.10.4269/ajtmh.2002.66.590CrossRefGoogle Scholar
Ugboko, HU, Nwinyi, OC, Oranusi, SU, Oyewale, JO. Childhood diarrhoeal diseases in developing countries. Heliyon. 2020; 6, e03690.10.1016/j.heliyon.2020.e03690CrossRefGoogle ScholarPubMed
Pinkerton, R, Oriá, RB, Lima, AAM, et al. Early childhood diarrhea predicts cognitive delays in later childhood independently of malnutrition. Am J Trop Med Hyg. 2016; 95, 1004–1010.10.4269/ajtmh.16-0150CrossRefGoogle ScholarPubMed
McKeown, T, Record, RG. Relationship between childhood infections and measured intelligence. Br J Prev Soc Med. 1976; 30, 101–106.Google ScholarPubMed
MacKinnon, N, Zammit, S, Lewis, G, Jones, PB, Khandaker, GM. Association between childhood infection, serum inflammatory markers and intelligence: findings from a population-based prospective birth cohort study. Epidemiol Infect. 2017; 146, 256–264.10.1017/S0950268817002710CrossRefGoogle ScholarPubMed
Benros, ME, Sørensen, HJ, Nielsen, PR, et al. The association between infections and general cognitive ability in young men – a nationwide study. PLOS ONE. 2015; 10, e0124005.10.1371/journal.pone.0124005CrossRefGoogle Scholar
Khandaker, GM, Dalman, C, Kappelmann, N, et al. Association of childhood infection with IQ and adult nonaffective psychosis in Swedish men: a population-based longitudinal cohort and co-relative study. JAMA Psychiatry. 2018; 75, 356–362.10.1001/jamapsychiatry.2017.4491CrossRefGoogle Scholar
Pearce, MS, Deary, IJ, Young, AH, Parker, L. Growth in early life and childhood IQ at age 11 years: the Newcastle Thousand Families Study. Int J Epidemiol. 2005; 34, 673–677.CrossRefGoogle ScholarPubMed
Forrest, LF, Hodgson, S, Parker, L, Pearce, MS. The influence of childhood IQ and education on social mobility in the Newcastle Thousand Families birth cohort. BMC Public Health. 2011; 11, 895.10.1186/1471-2458-11-895CrossRefGoogle ScholarPubMed
Hwang, AE, Mack, TM, Hamilton, AS, et al. Childhood infections and adult height in monozygotic twin pairs. Am J Epidemiol. 2013; 178, 551–558.10.1093/aje/kwt012CrossRefGoogle ScholarPubMed
Dewey, KG, Mayers, DR. Early child growth: how do nutrition and infection interact? Matern Child Nutr. 2011; 7(Suppl 3), 129–142.10.1111/j.1740-8709.2011.00357.xCrossRefGoogle ScholarPubMed
Stephensen, CB. Burden of infection on growth failure. J Nutrition. 1999; 129, 534S–538S.10.1093/jn/129.2.534SCrossRefGoogle ScholarPubMed
Pearce, MS, Unwin, NC, Parker, L, Craft, AW. Cohort profile: the Newcastle Thousand Families 1947 birth cohort. Int J Epidemiol. 2009; 38, 932–937.10.1093/ije/dyn184CrossRefGoogle ScholarPubMed
Miller, FJW. The School Years in Newcastle-upon-Tyne, 1952-62: Being a Further Contribution to the Study of a Thousand Families, 1974. Oxford University Press, London.Google Scholar
Forrest, LF, Hodgson, S, Parker, L, Pearce, MS. The influence of childhood IQ and education on social mobility in the Newcastle Thousand Families birth cohort. BMC Public Health. 2011; 11, 895.10.1186/1471-2458-11-895CrossRefGoogle ScholarPubMed
Parker, L, Lamont, DW, Wright, CM, et al. Mothering skills and health in infancy: the Thousand Families study revisited. Lancet. 1999; 353, 1151–1152.10.1016/S0140-6736(99)01066-1CrossRefGoogle Scholar
Lamont, D, Parker, L, White, M, et al. Risk of cardiovascular disease measured by carotid intima-media thickness at age 49-51: lifecourse study. BMJ. 2000; 320, 273–278.10.1136/bmj.320.7230.273CrossRefGoogle ScholarPubMed
CLOSER. NSHD - Age 11 - General Ability Test (Verbal and Non Verbal) [Internet]. 2023. https://closer.ac.uk/cross-study-data-guides/cognitive-measures-guide/nshd-cognition/nshd-age-11-general-ability-test/ Google Scholar
Fisher, DL, Defres, S, Solomon, T. Measles-induced encephalitis. QJM. 2015; 108(3), 177–182.10.1093/qjmed/hcu113CrossRefGoogle ScholarPubMed
Berger, JT, Villalobos, ME, Clark, AE, et al. Cognitive development one year after infantile critical pertussis. Pediatr Crit Care Med. 2018; 19, 89–97.10.1097/PCC.0000000000001367CrossRefGoogle ScholarPubMed
Pöyhönen, H, Setänen, S, Isaksson, N, et al. Neurological and cognitive performance after childhood encephalitis. Front Pediatr. 2021; 9, 646684.10.3389/fped.2021.646684CrossRefGoogle ScholarPubMed
Johnston, ID, Anderson, HR, Lambert, HP, Patel, S. Reading attainment and physical development after whooping cough. J Epidemiol Community Health. 1985; 39, 314–319.10.1136/jech.39.4.314CrossRefGoogle ScholarPubMed
Berkman, DS, Lescano, AG, Gilman, RH, Lopez, SL, Black, MM. Effects of stunting, diarrhoeal disease, and parasitic infection during infancy on cognition in late childhood: a follow-up study. Lancet. 2002; 359, 564–571.10.1016/S0140-6736(02)07744-9CrossRefGoogle ScholarPubMed
Upadhyay, RP, Taneja, S, Ranjitkar, S, et al. Factors determining cognitive, motor and language scores in low birth weight infants from North India. PLoS One. 2021; 16, e0251387.CrossRefGoogle ScholarPubMed
Petri, WA, Miller, M, Binder, HJ, et al. Enteric infections, diarrhea, and their impact on function and development. J Clin Invest. 2008; 118, 1277–1290.10.1172/JCI34005CrossRefGoogle ScholarPubMed
Liu, J, Platts-Mills, JA, Juma, J, et al. Use of quantitative molecular diagnostic methods to identify causes of diarrhoea in children: a reanalysis of the GEMS case-control study. Lancet. 2016; 388, 1291–1301.10.1016/S0140-6736(16)31529-XCrossRefGoogle ScholarPubMed
Muhsen, K, Ornoy, A, Akawi, A, Alpert, G, Cohen, D. An association between Helicobacter pylori infection and cognitive function in children at early school age: a community-based study. BMC Pediatr. 2011; 11, 43.10.1186/1471-2431-11-43CrossRefGoogle ScholarPubMed
Baggett, HC, Parkinson, AJ, Muth, PT, Gold, BD, Gessner, BD. Endemic iron deficiency associated with Helicobacter pylori infection among school-aged children in Alaska. Pediatrics. 2006; 117, e396–404.10.1542/peds.2005-1129CrossRefGoogle ScholarPubMed
Muhsen, K, Barak, M, Shifnaidel, L, et al. Helicobacter pylori infection is associated with low serum ferritin levels in Israeli Arab children: a seroepidemiologic study. J Pediatr Gastroenterol Nutr. 2009; 49, 262–264.10.1097/MPG.0b013e31818f0a0dCrossRefGoogle ScholarPubMed
Lozoff, B, Jimenez, E, Smith, JB. Double burden of iron deficiency in infancy and low socioeconomic status: a longitudinal analysis of cognitive test scores to age 19 years. Arch Pediatr Adolesc Med. 2006; 160, 1108–1113.10.1001/archpedi.160.11.1108CrossRefGoogle ScholarPubMed
Webb, PM, Knight, T, Greaves, S, et al. Relation between infection with Helicobacter pylori and living conditions in childhood: evidence for person to person transmission in early life. BMJ. 1994; 308, 750–753.10.1136/bmj.308.6931.750CrossRefGoogle ScholarPubMed
Rohlwink, UK, Donald, K, Gavine, B, et al. Clinical characteristics and neurodevelopmental outcomes of children with tuberculous meningitis and hydrocephalus. Dev Med Child Neurol. 2016; 58, 461–468.10.1111/dmcn.13054CrossRefGoogle ScholarPubMed
Schoeman, J, Wait, J, Burger, M, et al. Long-term follow up of childhood tuberculous meningitis. Dev Med Child Neurol. 2002; 44, 522–526.10.1111/j.1469-8749.2002.tb00323.xCrossRefGoogle ScholarPubMed
Mohan, J, Rakesh, PS, Moses, PD, Varkki, S. Outcome of children with tuberculous meningitis: a prospective study from a tertiary care centre in Southern India. Int J Community Med Public Health. 2016; 4, 220–223.10.18203/2394-6040.ijcmph20164742CrossRefGoogle Scholar
Castro-Rodríguez, JA, Holberg, CJ, Wright, AL, et al. Association of radiologically ascertained pneumonia before age 3 yr with asthmalike symptoms and pulmonary function during childhood: a prospective study. Am J Respir Crit Care Med. 1999; 159, 1891–1897.10.1164/ajrccm.159.6.9811035CrossRefGoogle ScholarPubMed
Suglia, SF, Wright, RO, Schwartz, J, Wright, RJ. Association between lung function and cognition among children in a prospective birth cohort study. Psychosom Med. 2008; 70, 356–362.10.1097/PSY.0b013e3181656a5aCrossRefGoogle Scholar
Millward, G. Vaccinating Britain: Mass Vaccination and the Public Since the Second World War [Internet], 2019. Manchester University Press, Manchester. http://www.ncbi.nlm.nih.gov/books/NBK545992/ 10.7765/9781526126764CrossRefGoogle ScholarPubMed
Rodrigues, CMC, Plotkin, SA. Impact of vaccines; health, economic and social perspectives. Frontiers in Microbiology [Internet]. 2020. https://www.frontiersin.org/articles/10.3389/fmicb.2020.01526 10.3389/fmicb.2020.01526CrossRefGoogle ScholarPubMed
Greenwood, B. The contribution of vaccination to global health: past, present and future. Philos Trans R Soc Lond B Biol Sci. 2014; 369, 20130433.10.1098/rstb.2013.0433CrossRefGoogle ScholarPubMed
Joe, W, Kumar Verma, A. Association of basic vaccination with cognitive and learning ability among children: insights from the India Human Development Survey, 2004-05 and 2011-12. J Biosoc Sci. 2022; 54, 243–256.10.1017/S0021932020000760CrossRefGoogle ScholarPubMed
Bloom, D, Canning, D, Shenoy, ES. The effect of vaccination on children’s physical and cognitive development in the Philippines. Appl Econ. 2012; 44, 2777–2783.CrossRefGoogle Scholar
Quigley, MA, Hockley, C, Carson, C, et al. Breastfeeding is associated with improved child cognitive development: a population-based cohort study. J Pediatr. 2012; 160, 25–32.10.1016/j.jpeds.2011.06.035CrossRefGoogle ScholarPubMed
Bradley, RH, Whiteside, L, Caldwell, BM, et al. Maternal IQ, the home environment, and child IQ in low birthweight, premature children. Int J Behav Dev. 1993; 16, 61–74.10.1177/016502549301600104CrossRefGoogle Scholar
Figure 0

Table 1. Descriptive characteristics for the categorical variables for the original cohort and the study sample used in this investigation including the p-values obtained from a chi-squared test to determine whether the study sample is representative of the original cohort

Figure 1

Table 2. Descriptive characteristics for the continuous, non-normal variables for the original cohort and the study sample used in this investigation, including the median and interquartile range (IQR) for each cognitive outcome

Figure 2

Table 3. Results of multivariable linear regressions relating IQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

Figure 3

Table 4. Results of multivariable linear regressions relating EQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

Figure 4

Table 5. Results of multivariable linear regressions relating AQ at age 11 to different infections. The models were adjusted for different combinations of 4 confounding variables: social class at birth (∼), housing score at birth (†), birth order (‡) and overcrowding (¤)

Figure 5

Table 6. Adjusted stratified analysis of linear regressions relating cognitive outcomes to infections which were found to have significant interactions with sex prior to adjustment, along with the results of a test for interaction between sex and each infection in the relevant regression models. The linear regressions in these stratified analyses were adjusted for confounding variables as marked on the table: social class at birth (∼), housing score at birth (†) and overcrowding (¤)