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Although the epidemiology of malignant bone tumours in children and young adults has been explored, no definitive causation of any specific tumour has yet been identified. We performed a literature review (1970-2008) to find all p...
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Although the epidemiology of malignant bone tumours in children and young adults has been explored, no definitive causation of any specific tumour has yet been identified. We performed a literature review (1970-2008) to find all papers covering possible aetiological factors involved in the development of bone tumours in children and young adults. Several associations have been reported with some consistency: the presence of hernias and Ewing sarcoma; high fluoride exposure and osteosarcoma; and parental farming and residence on a farm, younger age at puberty and family history of cancer for all bone tumours, especially osteosarcoma. Clearly further research is needed to confirm or refute these putative risk factors. It is likely that studies of gene-environment interactions may prove to be the most fruitful of future research.
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摘要 :
Although the epidemiology of malignant bone tumours in children and young adults has been explored, no definitive causation of any specific tumour has yet been identified. We performed a literature review (1970-2008) to find all p...
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Although the epidemiology of malignant bone tumours in children and young adults has been explored, no definitive causation of any specific tumour has yet been identified. We performed a literature review (1970-2008) to find all papers covering possible aetiological factors involved in the development of bone tumours in children and young adults. Several associations have been reported with some consistency: the presence of hernias and Ewing sarcoma; high fluoride exposure and osteosarcoma; and parental farming and residence on a farm, younger age at puberty and family history of cancer for all bone tumours, especially osteosarcoma. Clearly further research is needed to confirm or refute these putative risk factors. It is likely that studies of gene-environment interactions may prove to be the most fruitful of future research.
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Childhood acute lymphoblastic leukaemia (ALL) and Type 1 diabetes (T1D) share some common epidemiological features, including rising incidence rates and links with an infectious aetiology. Previous work has shown a significant pos...
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Childhood acute lymphoblastic leukaemia (ALL) and Type 1 diabetes (T1D) share some common epidemiological features, including rising incidence rates and links with an infectious aetiology. Previous work has shown a significant positive correlation in incidence between the two conditions both at the international and small-area level. The aim was to extend the methodology by including shared spatial and temporal trends using a more extensive dataset among individuals diagnosed with ALL and T1D in Yorkshire (UK) aged 0-14 years from 1978-2003. Cases with ALL and T1D were ascertained from 2 high quality population-based disease registers covering the Yorkshire region of the UK and linked to an electoral ward from the 1991 UK census. A Bayesian model was fitted where similarities and differences in risk profiles of the two diseases were captured by the shared and disease-specific components using a shared-component model, with space-time interactions. The extended model revealed a positive correlation of at least 0.70 between diseases across all time periods, and an increasing risk across time for both diseases, which was more evident for T1D. Furthermore, both diseases exhibited lower rates in the more urban county of West Yorkshire and higher rates in the more rural northern and eastern part of the region. A differential effect of T1D over ALL was found in the south-eastern part of the region, which had a more pronounced association with population mixing than with population density or deprivation. Our approach has demonstrated the utility in modelling temporally and spatially varying disease incidence patterns across small geographical areas. The findings suggest searching for environmental factors that exhibit similar geographical-temporal variation in prevalence may help in the development and testing of plausible aetiological hypotheses. Furthermore, identifying environmental exposures specific to the south-eastern part of the region, especially locally varying risk factors which may differentially affect the development of T1D and ALL, may also be fruitful.
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This article explores the impact that schools have on their pupils' obesity and so identify those where targeted input is most needed. A modelling process was developed using data that had been collected over 2 years on a socio-ec...
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This article explores the impact that schools have on their pupils' obesity and so identify those where targeted input is most needed. A modelling process was developed using data that had been collected over 2 years on a socio-economically and ethnically representative sample of 2367 school pupils aged 5 and 9 years old attending 35 Leeds primary schools. The three steps in the model involved calculating the "Observed" level of obesity for each school using mean body mass index standard deviation (BMI SDS); adjusting this using ethnicity and census-derived deprivation data to calculate the "Expected" level; and calculating the "Value Added" by each school from differences in obesity at school entry and transfer. We found there was significant variance between the schools in terms of mean BMI SDS (range -0.07 to +0.78). Residential deprivation score and ethnicity accounted for only a small proportion of the variation. Expected levels of obesity therefore differed little from the Observed, but the ValueAdded step produced very different rankings. As such, there is variation between schools in terms of their levels of obesity. Our modelling process allowed us to identify schools whose levels differed from that expected given the socio-demographic make up of the pupils attending. The Value Added step suggests that there may be a significant school effect. If this is validated in extended studies, the methodology could allow for exploration of mechanisms contributing to the school effect, and identify schools with the highest unexpected prevalence. Resources could then be targeted towards those schools in greatest need.
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AIM: We aimed to describe and contrast the epidemiology of haematological malignancies among 0-14 and 15-24-year-olds in northern England from 1990 to 2002 and compare clinical trial entry by age group. PATIENTS AND METHODS: Incid...
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AIM: We aimed to describe and contrast the epidemiology of haematological malignancies among 0-14 and 15-24-year-olds in northern England from 1990 to 2002 and compare clinical trial entry by age group. PATIENTS AND METHODS: Incidence rates were examined by age, sex and period of diagnosis and differences were tested using Poisson regression. Differences and trends in survival were assessed using Cox regression. RESULTS: 1680 subjects were included comprising 948 leukaemias and 732 lymphomas. Incidence rates for acute lymphoblastic leukaemia were significantly higher for 0-14 compared to 15-24-year-olds, whilst Hodgkin lymphoma showed the reverse. No significant changes in incidence were observed. 60% of leukaemia patients aged 15-24 years entered trials compared to 92% of 0-14-year-olds. Survival rates were significantly lower and improved less markedly over time for 15-24 compared to 0-14-year-olds, particularly for leukaemia. CONCLUSIONS: Trial accrual rates need to be improved amongst 15-24-year-olds and a more structured follow-up approach adopted for this unique population.
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Epidemiological studies focusing on the etiology of childhood chronic diseases have used population mixing as a proxy for the level of infection circulating in a community. We compared different measures of population mixing (base...
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Epidemiological studies focusing on the etiology of childhood chronic diseases have used population mixing as a proxy for the level of infection circulating in a community. We compared different measures of population mixing (based on residential migration and commuting) and other demographic variables, derived from the United Kingdom Census, with hospital inpatient data on infections from two Government Office Regions in England (Eastern and the West Midlands) to inform the development of an infectious disease proxy for future epidemiological studies. The association between rates of infection and the population mixing measures was assessed, using incidence rate ratios across census areas, from negative binomial regression. Commuting distance demonstrated the most consistent association with admissions for infections across the two regions; areas with a higher median distance travelled by commuters leaving the area having a lower rate of hospital admissions for infections. Deprived areas and densely populated areas had a raised rate of admissions for infections. Assuming hospital admissions are a reliable indicator of common infection rates, the results from this study suggest that commuting distance is a consistent measure of population mixing in relation to infectious disease and deprivation and population density are reliable demographic proxies for infectious exposure. Areas that exhibit high levels of population mixing do not necessarily possess raised rates of hospital admissions for infectious disease.
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BACKGROUND: Teenage and young adult (TYA) patient care can fall into gaps between adult and children's services. Increasingly UK TYA multi-disciplinary teams manage germ cell tumors (GCT) in locally agreed collaborations and age r...
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BACKGROUND: Teenage and young adult (TYA) patient care can fall into gaps between adult and children's services. Increasingly UK TYA multi-disciplinary teams manage germ cell tumors (GCT) in locally agreed collaborations and age ranges. Patterns of care are changing rapidly. However, between disciplines protocols define different assessment and management in GCT. We aimed to document changes in incidence, treatment, and survival since 1990, to record the baseline to which future trends can be compared. PROCEDURE: Details were extracted from the UK population-based Yorkshire Specialist Cancer Register on 237 TYA aged 13-24 years diagnosed with a GCT between 1990 and 2004, followed-up until 2009. Incidence and survival patterns were assessed using Poisson and Cox regression. RESULTS: Testicular (n = 190; 80%) and ovarian (n = 22; 9%) GCT were the most common malignancies, and 90% of GCT occurred aged 17-24 years. The overall incidence rate was 26.9 per million person years. Rates increased significantly by 4.0% (95% CI: 1.0-7.1%) per year on average. The most common treatment modality was surgery combined with chemotherapy (49%). Initial treatment changed significantly over time (P = 0.003) and by age (P = 0.005). There were significant differences in the management of stage 1 testicular tumors by age. Among 13- to 16-year olds, 56% were treated exclusively in adult departments. Five-year survival rates were 93-95% for gonadal GCT, and 70-75% for other sites. Survival did not differ by age (P = 0.65) or period (P = 0.41). CONCLUSIONS: The age-related differences observed in the approach to GCT treatment suggest a collaborative approach to the models of care among TYA is required.
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AIMS: To provide a population-based clinical audit of children and young people with diabetes, reporting outcomes, including glycaemic control, for named individual units. METHODS: Clinical audit data on care processes and glycate...
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AIMS: To provide a population-based clinical audit of children and young people with diabetes, reporting outcomes, including glycaemic control, for named individual units. METHODS: Clinical audit data on care processes and glycated haemoglobin (HbA(1c)) were collected for 1742 children and young people treated in 16 paediatric units in Yorkshire, from January 2005 to March 2006. The Yorkshire Register of Diabetes in Children and Young People provided information technology support and validation that enhanced data quality. Multi-level linear regression modelling investigated factors affecting glycaemic control. RESULTS: An HbA(1c) measure was recorded for 91.6% of patients. The National Institute for Clinical Excellence-recommended target level for HbA(1c) of < 7.5% was achieved for 14.7% of patients. HbA(1c) was positively associated with duration of diabetes and later age at diagnosis. Patients living in deprived areas had significantly poorer control compared with those from affluent areas. Significant between-unit variation in HbA(1c) was not reflected by any association with unit size. CONCLUSIONS: Our population-based clinical audit of children with diabetes is the product of an effective collaboration between those who deliver care and health services researchers. High levels of recording the key care process measuring diabetes control, compared with national figures, suggests collaboration has translated into improved services. The interesting association between poor diabetes control and higher deprivation is noteworthy and requires further investigation. Future audits require recording of clinical management and clinic structures, in addition to resources to record, assemble and analyse data.
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AIMS: Incidence of Type 1 diabetes in children is increasing worldwide. Earlier studies suggest that UK south Asian immigrants develop similar rates to the overall UK population, although incidence is lower in their country of ori...
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AIMS: Incidence of Type 1 diabetes in children is increasing worldwide. Earlier studies suggest that UK south Asian immigrants develop similar rates to the overall UK population, although incidence is lower in their country of origin. This study examines incidence rate trends of childhood Type 1 diabetes in Yorkshire 1978-2007, focusing on differences between south Asians and non-south Asians. METHODS: Data from the population-based Yorkshire Register of Diabetes in Children and Young People were used to estimate incidence (per 100,000 childhood population < 15 years per year) of Type 1 diabetes, stratified by sex, age and ethnicity validated using two name-recognition programs. Age-sex standardized rates were calculated for 1978-2007 and assessed by ethnic-group and deprivation for 1990-2007. We used Poisson regression to assess incidence trends and predict rates until 2020. RESULTS: From 1978-2007, 3912 children were diagnosed. Overall incidence was 18.1 per 100,000 childhood population (< 15 years) per year (95% CI17.6-18.7) and increased significantly over time: 13.2 (1978-1987) to 17.3 (1988-1997) to 24.2 (1998-2007). Average annual percentage change was 2.8% (2.5-3.2). Incidence for non-south Asians (21.5; 20.7-22.4) was significantly higher than for south Asians (14.7; 12.4-17.1). Average annual percentage change increased significantly over 18 years (1990-2007) in non-south Asians (3.4%; 2.7-4.2) compared with a non-significant rise of 1.5% (-1.5 to 4.6) in south Asians. Deprivation score did not affect overall incidence. CONCLUSIONS: Type 1 diabetes incidence rose almost uniformly for non-south Asians, but not for south Asians, contrary to previous studies. Overall rates are predicted to rise by 52% from 2007 to 2020 to 39.0 per 100,000 per year.
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There is growing evidence that some chronic diseases are caused, or promoted, by infectious disease. 'Population mixing' has been used as a proxy for the range and dose of infectious agents circulating in a community. Given the sp...
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There is growing evidence that some chronic diseases are caused, or promoted, by infectious disease. 'Population mixing' has been used as a proxy for the range and dose of infectious agents circulating in a community. Given the speculation over the role of population mixing in many chronic diseases, we review the various methods used for measuring population mixing, and provide a classification of these. We recommend that authors fulfill two criteria in publications: measures are demonstrably associated with the putative risk factors for which population-mixing is acting as a proxy and fundamental characteristics of the chosen measures are clearly defined.
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