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Background/objectives Prediction equations generated from anthropometric measures are frequently used to quantify paediatric body composition. We tested the agreeability and predictive power of select (Lingwood and Aris) fat mass prediction equations against body fat measured via ADP; and generated and evaluated new anthropometry-based models for use in the first 6 months of life. Subjects/methods Data were obtained from 278 white European Australian infants at birth, 3 and 6 months. Prediction models (i.e. Baby-bod models) were generated for each time point via stepwise linear regression and compared for agreeability with ADP via limits of agreement, mean difference and total bias in Bland-Altman analyses. Predictive power of all equations in comparison to ADP were assessed using linear regression analysis. Results Overall, there was poor agreeability between percent body fat predicted via published equations and ADP. Proportional bias was detected for both methods (i.e. published equations and Baby-bod models) of body fat prediction. At birth, both Lingwood and BB0 equations overestimated percent body fat at the lower end of the FM spectrum. This trend was repeated at 3 months with all equations displaying a propensity to overestimate body fat at lower FM levels and underestimate at higher FM levels. Conclusions The results indicate that anthropometry, although less costly and relatively easier to implement, does not always produce comparable results with objective measures such as ADP. Given the importance of the accurate assessment of physical growth, including body composition in early life, it is timely to recommend the increased utilisation of techniques such as ADP., Author(s): Sisitha Jayasinghe [sup.1] , Manoja P. Herath [sup.1] , Jeffrey M. Beckett [sup.1] , Kiran D. K. Ahuja [sup.1] , Nuala M. Byrne [sup.1] , Andrew P. Hills [sup.1] [...]

Obesity is defined as an abnormal/excessive accumulation of body fat, associated with health consequences. Although overall obesity does confer a significant threat to the health of individuals, the distribution of body fat, especially abdominal/central obesity is of greater importance. For practical reasons, proxy anthropometric measurements have been developed to identify central obesity, however, major limitations are noted in these traditional measurements. The present study aims to evaluate the literature, to identify and describe non-traditional anthropometric measurements of overweight and obesity in children. The current systematic review was conducted in accordance with the PRISMA guidelines, and the search was undertaken in the PubMed.sup.® database, using MeSH (Medical Subject Headings) terms. Data extracted from each study were: (a) details of the study, (b) anthropometric parameter(s) evaluated in the study and its details, (c) study methods, (d) objectives of the study and/or comparisons, and (e) main findings/conclusions of the study. The search yielded a total of 3697 articles, of which 31 studies were deemed eligible to be included. The literature search identified 13 non-traditional anthropometric parameters. Data on non-traditional anthropometric parameters were derived from 24 countries. Majority were descriptive cross-sectional studies (n = 29), while sample size varied from 65 to 23,043. Non-traditional anthropometric parameters showed variable correlation with obesity and/or related metabolic risk factors. Some parameters involved complex calculations, while others were based on a single anthropometric measurement or derived from traditional measures. Most studies lacked comparison with a 'gold standard' assessment of body fat, hence further research is required to determine their accuracy and precision., Author(s): Priyanga Ranasinghe [sup.1] , Ranil Jayawardena [sup.2] [sup.3] , Nishadi Gamage [sup.1] , V. Pujitha Wickramasinghe [sup.4] , Andrew P. Hills [sup.5] Author Affiliations: (1) Department of Pharmacology, Faculty [...]

Objective: To investigate the availability of resources at an Australian university workplace to support the health, wellbeing, and transition to parenthood of female employees working during the preconception, pregnancy, and postpartum periods. Type of program or service: Workplace health promotion for female employees of reproductive age. Methods: A survey of female employees aged 18-45 years evaluated participant health practices, availability of work and parenting supports, and access to health and wellbeing resources in the workplace. Additionally, an environmental assessment was completed by employees with a knowledge of local healthy lifestyle supports and a minimum of 2 years' employment. The assessment documented site characteristics and availability of wellbeing facilities across 10 campuses. Results: There were 241 valid survey responses. Of 221 respondents to a question about workplace support, 76% (n = 168) indicated that the workplace should play a role in supporting the transition to parenthood and in health promotion, with 64.1% of 223 participants disagreeing with the statement "my health is not the responsibility of the university". Both the survey and environmental assessment revealed that access to parenting resources to support employee health and wellbeing were suboptimal. Lessons learnt: There is a misalignment between the needs of female employees working during these health-defining life stages, and the availability of resources to support those needs. Regulatory guidance may be required to navigate resource gaps within the work environment and address factors impacting the health and wellbeing of employees of reproductive age. [ABSTRACT FROM AUTHOR]