Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method

Effective performance measurement drives performance and supports the development of construction. Only minimal literature measuring construction performance, efficiency and effectiveness simultaneously can be identified. A global relational two-stage data envelopment analysis (DEA) method is here proposed in order to produce effective and informative performance results. A relational two-stage DEA method systematically measures overall efficiency for a whole construction system and also yields scores for the individual stages of construction. The DEA results can be directly compared through global benchmark technology. The Australian construction industry is employed in order to implement the new method, in which profitability performance as a vital indicator of business survival, and its two dimensions of efficiency and effectiveness, are measured. The construction profitability performance and efficiency measures obtained provide evidence of underperformance and a slight imbalance in Australia between 1991 and 2012, while the measures obtained for the effectiveness factor indicate better achievement. The approach here developed promotes progress in modelling two-stage performance measurement and it can be replicated worldwide by construction projects, organizations or industries in order to quantify their performance, identify internal inefficiency components and recognize competitive advantages for promoting sustainable development.

Low lean tissue mass and physical performance as markers of sarcopenia in older men and women

Background: While declines in muscle mass and function occur in all individuals with advancing age, the extent and rate of decline vary in the general population. We aimed to determine the prevalence of low lean tissue mass combined with poor physical function as an indicator of sarcopenia among older men and women residing in southeastern Australia.

Methods: The study involved men and women aged 60+ years from the Geelong Osteoporosis Study (GOS). Skeletal muscle mass was measured as total lean tissue mass by dual energy x-ray absorptiometry (DXA) and expressed as a percentage of body weight to generate the skeletal mass index (SMI); low lean mass was defined as SMI T-score <-1. Low muscle function was based on performance using “timed up-and-go” scores >10s. Physical activity scores were determined using a validated questionnaire for the elderly and falls were self-reported for the previous year. Associations between sarcopenia, physical activity and falls were determined using multivariable regression techniques.

Results: Among 624 men, 233 had low SMI, 169 had low muscle performance and 81 had both, thus meeting criteria for sarcopenia. Among 436 women, 143 had low SMI, 179 had low muscle performance and 70 had both. A general age-related increase in the observed prevalence of sarcopenia appeared to be driven by an age-related increase in low performance. Sarcopenia was associated with lower physical activity scores. No association was detected between sarcopenia and falls for men but an association was observed for women (age-adjusted OR 1.87, 95% CI 1.11, 3.14).

Conclusion: In our population, the prevalence of sarcopenia was 10.6% (95% CI 7.7, 13.4) for men and 14.5% (95% CI 10.8, 18.3) for women. Men and women with sarcopenia were habitually less active and, for women, sarcopenia was associated with increased likelihood of falls.

Aerobic power and lean mass are indicators of competitive sprint performance among elite female cross-country skiers

The purpose of this study was to establish the optimal allometric models to predict International Ski Federation’s ski-ranking points for sprint competitions (FISsprint) among elite female cross-country skiers based on maximal oxygen uptake (V̇O2max) and lean mass (LM). Ten elite female cross-country skiers (age: 24.5±2.8 years [mean ± SD]) completed a treadmill roller-skiing test to determine V̇O2max (ie, aerobic power) using the diagonal stride technique, whereas LM (ie, a surrogate indicator of anaerobic capacity) was determined by dual-emission X-ray anthropometry. The subjects’ FISsprint were used as competitive performance measures. Power function modeling was used to predict the skiers’ FISsprint based on V̇O2max, LM, and body mass. The subjects’ test and performance data were as follows: V̇O2max, 4.0±0.3 L min-1; LM, 48.9±4.4 kg; body mass, 64.0±5.2 kg; and FISsprint, 116.4±59.6 points. The following power function models were established for the prediction of FISsprint: 3.91×105 ∙ VO -6.002maxand 6.95×1010 ∙ LM-5.25; these models explained 66% (P=0.0043) and 52% (P=0.019), respectively, of the variance in the FISsprint. Body mass failed to contribute to both models; hence, the models are based on V̇O2max and LM expressed absolutely. The results demonstrate that the physiological variables that reflect aerobic power and anaerobic capacity are important indicators of competitive sprint performance among elite female skiers. To accurately indicate performance capability among elite female skiers, the presented power function models should be used. Skiers whose V̇O2max differs by 1% will differ in their FISsprint by 5.8%, whereas the corresponding 1% difference in LM is related to an FISsprint difference of 5.1%, where both differences are in favor of the skier with higher V̇O2max or LM. It is recommended that coaches use the absolute expression of these variables to monitor skiers’ performance-related training adaptations linked to changes in aerobic power and anaerobic capacity.