The literature on planned organizational change: A review and analysis

In this paper, the state of the art of the literature on change is examined in an attempt to explain why most attempts at change in schools fail. The historical development of modern change studies is traced from the early 1940s to the present. This evolution is analyzed and evaluated and some probable future directions in the literature are suggested. Finally, some preliminary conclusions are drawn and reasons are suggested for the failure of most attempts at change.     

Cross-sectional comparison of body composition and resting metabolic rate in Premier League academy soccer players: Implications for growth and maturation

ABSTRACT

For the first time we aimed to: (1) assess fat-free mass (FFM) and RMR in youth soccer players, (2) compare measured RMR to estimated RMR using previously published prediction equations, and (3) develop a novel population-specific prediction equation. In a cross-sectional design, 99 males from a Premier League academy underwent assessments of body composition (DXA) and RMR (indirect-calorimetry). Measured RMR was compared to estimated values from five prediction equations. A novel RMR prediction equation was developed using stepwise multiple regression. FFM increased (P<0.05) between U12 (31.6±4.2 kg) and U16 (56.3±5.3 kg) after which no further increases occurred (P>0.05). RMR in the U12s (1655±195 kcal.day^?1), U13s (1720±205 kcal.day^?1) and U14s (1846±218kcal.day^?1) was significantly lower than the U15s (1957±128 kcal.day^?1), U16s (2042±155 kcal.day^?1), U18s (1875±180 kcal.day^?1) and U23s (1941±197 kcal.day^?1) squads (P>0.05). FFM was the single best predictor of RMR (r²=0.43; P<0.01) and was subsequently included in the novel prediction equation: RMR (kcal.day^?1) = 1315 + (11.1 x FFM in kg). Both FFM and RMR increase from 12-16 years old, thus highlighting the requirement to adjust daily energy intake to support growth and maturation. The novel prediction RMR equation developed may help to inform daily energy requirements.     

Stability and Transmission of Attachment across Three Generations

Stability of adult attachment and transmission of attachment across 3 generations were examined in a longitudinal study of 96 infants, mothers, and maternal grandmothers. The Adult Attachment Interview (AAI) was used to assess attachment in mothers (during pregnancy and when infants were 11 months old) and grandmothers (any time during the study). The Strange Situation (SS) was used to assess attachment in infants at 12 months. Both the 3- and 4-category classification systems of the AAI and SS were used. Mothers' AAI classifications were stable over 12 months in 90% (3-category) and 77% (4-category) of mothers. Mothers' AAI classifications during pregnancy predicted infants' SS classifications in 81% (3-category) and 68% (4-category) of cases, and grandmothers' AAI classifications in 75% (3-category) and 49% (4-category) of cases. Using log-linear analysis, we show that a simple parent-to-child model accounts for transmission of attachment.