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J P Biddulph

Publications and source records attributed to J P Biddulph.

6 recordsLinked to original sources

Reporting of diabetes on death certificates using data from the UK Prospective Diabetes Study.

AIMS: To study the effect of age at death, sex, ethnic group, date of death, underlying cause of death and social class on the frequency of reporting diabetes on death certificates in known cases of diabetes. METHODS: Data were extracted from certificates recording 981 deaths which occurred between 1985 and 1999 in people aged 45 years or more who participated in the UK Prospective Diabetes Study, to which 23 English, Scottish and Northern Ireland centres contributed. Diabetes (9th revision of the International Classification of Diseases; ICD-9 250) entered on parts 1A-1C or 2A-2C of the death certificate was considered as reporting diabetes. Logistic regression analyses were used to determine independent factors associated with the reporting of diabetes. RESULTS: Diabetes was reported on 42% (419/981) of all death certificates and on 46% (249/546) of those with underlying cardiovascular disease causes. Reporting of diabetes was independently associated on all death certificates with per year of age increase (OR 1.02; 95% CI 1.001-1.04, P = 0.037), underlying cause of death (non-cardiovascular causes OR 0.76; 95% CI 0.59-0.98, P = 0.035) and social class (classes I-II OR 1.00; class III OR 1.35; 95% CI 0.96-1.89, P = 0.084, classes IV-V OR 1.48; 95% CI 1.05-2.10, P = 0.027). Stratification by age, sex, and underlying cause of death also revealed significant differences in the frequency of reporting diabetes over time. CONCLUSIONS: The rate of reporting of diabetes on cardiovascular disease death certificates remains poor. This may indicate a lack of awareness of the importance of diabetes as a risk factor for cardiovascular disease.

Age Distribution↗

The effect of Epstein-Barr virus status on outcome in age- and sex-defined subgroups of patients with advanced Hodgkin's disease.

BACKGROUND: Conflicting data on the effect of the Epstein-Barr virus (EBV) on outcome in Hodgkin's disease (HD) might be due to the heterogeneous nature of this disease. In this study we have investigated whether the effect of EBV status on outcome is different between aetiologically defined age groups (15-34, 35-44, 45+ years) and also between males and females. PATIENTS AND METHODS: Paraffin-embedded sections from 273 patients with advanced HD from two related clinical trials were analysed for the presence of EBV using in situ hybridisation. RESULTS: EBV was detected in 78 (29%) of cases. For all patients, after a median follow-up of 5 years, there were no significant differences in survival by EBV status although there was a trend towards longer failure-free survival times for EBV-positive patients. Multivariate analyses suggested that EBV and sex, when in combination, were prognostic factors for failure-free survival (P = 0.06 for both). For subgroups, the effect of EBV on failure-free survival was significant for males and 15-34 years age group (P = 0.05 and P = 0.03, respectively). CONCLUSION: This study suggests that with a median follow-up of 5 years, EBV status does not affect survival but being EBV-positive may be beneficial in terms of failure-free survival, particularly for males and younger adults.

Adolescent↗

A health impact assessment model for environmental changes attributable to development projects.

STUDY OBJECTIVE: European Union legislation requires large industrial and civil development projects to undergo environmental impact assessment. The study objective was to identify environmental health risk estimates for these developments from the epidemiological literature and to develop, and apply these within, a mathematical health impact assessment model. DESIGN AND RESULTS: In the UK, good practice guidelines have set out environmental issues to be considered in development projects, but little attention is given to direct health effects. Broad quantifiable risks were identified for four-air, chemicals, noise, and road traffic-of 14 standard environmental effects. A mathematical model was constructed that is based on people moving between different health states over their lifetime. Age related hazard functions are applied to cause specific measures of mortality and morbidity. A hypothetical example for a development creating air and chemical pollutants is given. CONCLUSIONS: A mathematical model applying epidemiological risks to an exposed population can provide quantification of environmental health effects. The approach may in future find application during project development, and by public health regulatory authorities for environmental health impact assessment.

Air Pollution↗

South Asian ethnicity and material deprivation increase the risk of Epstein-Barr virus infection in childhood Hodgkin's disease.

In order to further define the factors associated with the observed variations in the Epstein-Barr virus-positive rate in childhood Hodgkin's disease, we have studied the effect of material deprivation (measured by the Townsend score) and ethnic origin on the frequency of Epstein-Barr virus-positivity in 55 cases of childhood Hodgkin's disease, diagnosed between 1981 and 1999, from a multi-ethnic region of the United Kingdom. Epstein-Barr virus status was determined by immunohistochemistry for the Epstein-Barr virus-encoded latent membrane protein-1. 62% of cases were Epstein-Barr virus-positive. Ethnic group was the strongest predictor of Epstein-Barr virus-positivity, with South Asians having a more than 20-fold risk of being Epstein-Barr virus-positive compared with non-South Asians. An increased risk was still present after adjusting for deprivation. Townsend scores were significantly higher (indicating more deprivation) in the Epstein-Barr virus-positive group, particularly in males. The relative risk of Epstein-Barr virus-positivity showed a gradient with increasing Townsend score; the risk being 7-times higher in the most deprived quartile compared with the least deprived group. Although the association between Townsend score and Epstein-Barr virus-positivity was reduced after adjusting for ethnic group, the risk of Epstein-Barr virus-positivity was still 3-times higher in the most deprived compared with the least deprived quartile. In addition, cases having 2 or more siblings were 5-times as likely to be Epstein-Barr virus-positive as those from smaller families. These results provide the first evidence of a strong association between Epstein-Barr virus-positive Hodgkin's disease and South Asian children from the United Kingdom. In addition, deprivation may increase the likelihood of Epstein-Barr virus-positive disease independently of ethnicity.

Adolescent↗

Variation in the frequency of Epstein-Barr virus-associated Hodgkin's disease with age.

A number of studies in developed countries have reported variation in the frequency of Epstein-Barr virus (EBV)-associated Hodgkin's disease (HD) with age. A 'three disease' model for HD that incorporates the EBV association, histological subtype of HD and age has recently been proposed. In this model, Hodgkin's disease of childhood and older adults is commonly EBV-associated and of mixed cellularity type, whereas young adult HD is generally not EBV-associated and is usually characterised by nodular sclerosis disease. A case series of HD diagnosed in the West Midlands between 1981 and 1997, inclusive, was used to investigate the applicability of the 'three disease' model. In situ hybridisation for the EBV early RNAs (EBERs) was used to determine the presence of EBV in the malignant Hodgkin/Reed-Sternberg cells. In contrast to the 'three disease' model, nodular sclerosis was the predominant subtype in each of the age groups within the case series. In addition, overall there was little variation in EBV-positive rates across the age ranges examined. However, when females were analysed separately, older women (45+ years) were significantly more likely to have EBV-positive disease than their younger counterparts (<45 years). In summary our results do not generally support the 'three disease' model.

Adolescent↗