Customised birthweight: Coefficients for an Australian population and validation of the model

Background: Published birthweight references in Australia do not fully take into account constitutional factors that influence birthweight and therefore may not provide an accurate reference to identify the infant with abnormal growth. Furthermore, studies in other regions that have derived adjusted (customised) birthweight references have applied untested assumptions in the statistical modelling. Aims: To validate the customised birthweight model and to produce a reference set of coefficients for estimating a customised birthweight that may be useful for maternity care in Australia and for future research. Methods: De-identified data were extracted from the clinical database for all births at the Mater Mother's Hospital, Brisbane, Australia, between January 1997 and June 2005. Births with missing data for the variables under study were excluded. In addition the following were excluded: multiple pregnancies, births less than 37 completed week's gestation, stillbirths, and major congenital abnormalities. Multivariate analysis was undertaken. A double cross-validation procedure was used to validate the model. Results: The study of 42 206 births demonstrated that, for statistical purposes, birthweight is normally distributed. Coefficients for the derivation of customised birthweight in an Australian population were developed and the statistical model is demonstrably robust. Conclusions: This study provides empirical data as to the robustness of the model to determine customised birthweight. Further research is required to define where normal physiology ends and pathology begins, and which segments of the population should be included in the construction of a customised birthweight standard.

Evaluation of NHMRC funded research completed in 1992, 1997 and 2003: gains in knowledge, health and wealth

Objective: To report on strategies for, and outcomes of, evaluation of knowledge (publications), health and wealth (commercial) gains from medical research funded by the Australian Government through the National Health and Medical Research Council (NHMRC). Design and methods: End-of-grant reports submitted by researchers within 6 months of completion of NHMRC funded project grants which terminated in 2003 were used to capture self-reported publication number, health and wealth gains. Self-reported gains were also examined in retrospective surveys of grants completed in 1992 and 1997 and awards primarily supporting people (“people awards”) held between 1992 and 2002. Results: The response rate for the 1992 sample was too low for meaningful analysis. The mean number of publications per grant in the basic biomedical, clinical and health services research areas was very similar in 1997 and 2003. The publication output for population health was somewhat higher in the 2003 than in the 1997 analysis. For grants completed in 1997, 24% (31/131) affected clinical practice; 14% (18/131) public health practice; 9% (12/131) health policy; and 41% (54/131) had commercial potential with 20% (26/131) resulting in patents. Most respondents (89%) agreed that NHMRC people awards improved their career prospects. Interpretation is limited by the relatively low response rates (50% or less). Conclusions: A mechanism has been developed for ongoing assessment of NHMRC funded research. This process will improve accountability to the community and to government, and refine current funding mechanisms to most efficiently deliver health and economic returns for Australia.

Weight gained in two years by a population of mid-aged women: how much is too much?

Objective: To establish the prevalence of weight change in mid-aged women over a 2-year period, and to assess the relationship between weight change and physical and mental well-being (SF36) in order to begin debate about the need for quantified standards of weight gain. Design: Prospective study of weight change and well-being over a 2-year period among mid-aged women participating in a large national survey. Subjects: Seven thousand two hundred and seventy women without surgical menopause aged between 45 and 50 years (termed mid-aged), enrolled in the Australian Longitudinal Study on Women's Health. Measurements: Weight change (self-reported weight at two time points) and physical and mental well-being (SF-36) explored using linear regression, while adjusting for potential confounders. Results: Only half the women maintained their weight within 2.25 kg, and one-third gained more than this amount in a 2-year period. While weight gain (>= 2.25 kg) was negatively associated with physical well-being, both weight loss and weight gain were associated with poorer mental well-being. Conclusion: This is the first prospective study using a large, population-based cohort to demonstrate that small changes in weight are associated with changes in well-being in mid-aged Australian women. It provides further evidence of the need for public health messages to specify the actual amount that constitutes weight gain, but further research is needed to establish these standards for the entire population.

Why are there so few genetic markers available for coral population analyses?

Coral reefs are in serious decline, and research in support of reef management objectives is urgently needed. Reef connectivity analyses have been highlighted as one of the major future research avenues necessary for implementing effective management initiatives for coral reefs. Despite the number of new molecular genetic tools and the wealth of information that is now available for population-level processes in many marine disciplines, scleractinian coral population genetic information remains surprisingly limited. Here we examine the technical problems and approaches used, address the reasons contributing to this delay in understanding, and discuss the future of coral population marker development. Considerable resources are needed to target the immediate development of an array of relevant genetic markers coupled with the rapid production of management focused data in order to help conserve our globally threatened coral reef resources.

Population mobility and indigenous peoples in Australasia and North America

This book draws together relevant research findings to produce the first comprehensive overview of Indigenous peoples' mobility. Chapters draw from a range of disciplinary sources, and from a diversity of regions and nation-states. Within nations, mobility is the key determinant of local population change, with implications for service delivery, needs assessment, and governance. Mobility also provides a key indicator of social and economic transformation. As such, it informs both social theory and policy debate. For much of the twentieth century conventional wisdom anticipated the steady convergence of socio-demographic trends, seeing this as an inevitable concomitant of the development process. However, the patterns and trends in population movement observed in this book suggest otherwise, and provide a forceful manifestation of changing race relations in these new world settings. © 2009 Informa plc

Comparison of cognitive screening tasks in an elderly veteran population

Screening measures of cognitive status are traditionally administered face to face. In survey research such screening mcasurcs, while desirable, must he administered by other means. As part of pilot survey research on a New Zealand war veteran population with some degree of hearing impairment, a face-to-face administration of the Mini-Mental State Examination (MMSE; Folstein, Folstein and McHugh, 1975) and a telephoneadministration of the Telephonc Interview for Cognitive Status (TICS; Brandt, Spencer and Folstein. 1988) were compared. Brandt ('/ u/. (1988) reported a very strong linear relationship between scores on the MMSE and the TICS (r=0.94, p < .0001) in an Alzheimer patient population with a mcan MMSE score of 12.06 (6.78). For a sample of 44 mildly to moderately hearing impaired veterans, with a mean MMSE score of 25.52 (2.16) and a mean TICS score of 32.52(5.43), the correlation between the instruments was .39. When veterans who wore hearing aids during the telephone interview ( N = 2 2 ) wcrc separated out from those who did not, the correlation rose to .54. Age was ncgatively correlated with the MMSE ( r = -0.41, / I < .01) and not significantly correlated with the TICS. Education level was unrelated to either measure. The data suggest that the wearing or non-wearing of hearing aids may contribute significantly to the reliability of the TICS. Furthermore, on non-demented populations with a less restricted range of scores. the correlation of the MMSE and TICS may he lower than previously reported.