Modelling daily multivariate pollutant data at multiple sites

Summary. This paper considers the spatiotemporal modelling of four pollutants measured daily at eight monitoring sites in London over a 4-year period. Such multiple-pollutant data sets measured over time at multiple sites within a region of interest are typical. Here, the modelling was carried out to provide the exposure for a study investigating the health effects of air pollution. Alternative objectives include the design problem of the positioning of a new monitoring site, or for regulatory purposes to determine whether environmental standards are being met. In general, analyses are hampered by missing data due, for example, to a particular pollutant not being measured at a site, a monitor being inactive by design (e.g. a 6-day monitoring schedule) or because of an unreliable or faulty monitor. Data of this type are modelled here within a dynamic linear modelling framework, in which the dependences across time, space and pollutants are exploited. Throughout the approach is Bayesian, with implementation via Markov chain Monte Carlo sampling.     

The shape of mortality curves: an analysis of counties in England and Wales, 1911

Previous analysis has shown that life tables may be distinguished by two orthogonal pieces of information, the level of mortality in the population and the relative shape of the mortality curve. We show that both the regions of England and Wales in 1911, and locality types (county boroughs, other urban, and rural) differ in the shape of their mortality curves. Using data for the administrative counties, we examine the underlying correlates of this differentiation, paying particular attention to the socio-economic structure of the counties as reflected in their wealth, opportunity levels, and degree of urbanisation.     

Predicting body fat using weight–height indices

While body fat is the most accurate measure of obesity, its measurement requires special equipment that can be costly and time consuming to operate. Attention has thus typically focused on the easier to calculate body mass index (BMI). However, the ability of BMI to accurately identify obesity has been increasingly questioned. This paper focuses attention on whether more general body mass indices are appropriate measures of body fat. Using a data set of body fat, height, and weight measurements, general models are estimated which nest a wide variety of weight–height indices as special cases. In the absence of a race and gender categorisation, the conventional BMI was found to be the appropriate index with which to predict body fat. When such a categorisation was made, however, the BMI was never selected as the appropriate index. In general, predicted female body fat was some 10 kg higher than that of a male of identical build and predicted % body fat was over 11 percentage points higher, but age effects were smaller for females. Considerable racial differences in predicted body fat were found for males, but such differences were less marked for females. The implications of this finding for interpreting recent research on the effect of obesity on health, society, and economic factors are considered.     

Researching in the Victorian censuses: a note on a computerized,annotated bibliography of publications based substantially on the census enumerators' books

The authors describe a project, begun in 1981, to locate, list, and annotate all the published work based substantially on the census enumerators' books for nineteenth-century censuses for England and Wales. The results are currently available in a computerized file, enabling a variety of searches by topic, geographical area, and type of population. Information is provided on using the data and the computerized bibliography. The authors note that, subsequently, data for censuses of Scotland and Ireland have been added.     

Cockpits,Hangars, Boys and Galleys: Corporate Masculinities and the Development of British Airways

This article sets out to examine the role of masculinity in the development of a gendered organizational culture over time. The development of images of masculinity within one company — British Airways — is examined through content analysis of company newsletters, advertising copy, annual reports, internal memoranda, and written rules and regulations. Exploring the notion of ‘multiple masculinities’, the article traces the prominent forms of masculinity that emerged in British Airways and assesses their impact on the ways that organizational practices were developed, maintained and understood. Four key corporate images of masculinity are examined — the pilot, the steward, the engineer and the ‘native boy’— and it is argued that those images contributed to the exclusion of women and people of colour from those occupations by laying down cultural rules about the ideal typical characteristics of the job holder. The article concludes by raising questions about the value of a multiple masculinities focus in explaining changing and contradictory practices of discrimination; the primacy of extra-organizational over organizational practices; and the relationship between multiple masculinities and hegemonic masculinity. Further research is suggested into the extent to which hegemonic masculinity is undermined, over time, by changing and contradictory forms of masculinity within definite sites of gender construction.