Injuries leading to hospitalisation in the first year of life : analysis by trimester of age using coded data and textual description

Objective: To describe unintentional injuries to children aged less than one year, using coded and textual information, in three-month age bands to reflect their development over the year. Methods: Data from the Queensland Injury Surveillance Unit was used. The Unit collects demographic, clinical and circumstantial details about injured persons presenting to selected emergency departments across the State. Only injuries coded as unintentional in children admitted to hospital were included for this analysis. Results: After editing, 1,082 children remained for analysis, 24 with transport-related injuries. Falls were the most common injury, but becoming proportionately less over the year, whereas burns and scalds and foreign body injuries increased. The proportion of injuries due to contact with persons or objects varied little, but poisonings were relatively more common in the first and fourth three-month periods. Descriptions indicated that family members were somehow causally involved in 16% of injuries. Our findings are in qualitative agreement with comparable previous studies. Conclusion: The pattern of injuries varies over the first year of life and is clearly linked to the child's increasing mobility. Implications: Injury patterns in the first year of life should be reported over shorter intervals. Preventive measures for young children need to be designed with their rapidly changing developmental stage in mind, using a variety of strategies, one of which could be opportunistic developmentally specific education of parents. Injuries in young children are of abiding concern given their immediate health and emotional effects, and potential for long-term adverse sequelae. In Australia, in the financial year 2006/07, 2,869 children less than 12 months of age were admitted to hospital for an unintentional injury, a rate of 10.6 per 1,000, representing a considerable economic and social burden. Given that many of these injuries are preventable, this is particularly concerning. Most epidemiologic studies analyse data in five-year age bands, so children less than five years of age are examined as a group. This study includes only those children younger than one year of age to identify injury detail lost in analyses of the larger group, as we hypothesised that the injury pattern varied with the developmental stage of the child. The authors of several North American studies have commented that in dealing with injuries in pre-school children, broad age groupings are inadequate to do justice to the rapid developmental changes in infancy and early childhood, and have in consequence analysed injuries in shorter intervals. To our knowledge, no similar analysis of Australian infant injuries has been published to date. This paper describes injury in children less than 12 months of age using data from the Queensland Injury Surveillance Unit (QISU).

Dissolution of kaolinite induced by citric, oxalic, and malic acids

Kaolinite is a dominant clay mineral in the soils in tropical and Subtropical regions, and its dissolution has an influence on a variety of soil properties. In this work, kaolinite dissolution induced by three kinds of low-molecular-weight organic acid, i.e., citric, oxalic, and malic acids, was evaluated under far-from-equilibrium conditions. The rates of kaolinite dissolution depended on the kind and concentration of organic acids, with the sequence R-oxalate > R-citrate > R-malate. Chemical calculation showed the change in concentration of organic ligand relative to change in concentration of organic acid in suspensions of kaolinite and organic acid. The effect of organic acid on kaolinite dissolution was modeled by species of organic anionic ligand. For oxalic acid, L-oxalic(2-) and HLoxalic- jointly enhanced the dissolution of kaolinite, but for malic and citric acids, HLmalic- and H2Lcitric- made a higher contribution to the total dissolution rate of kaolinite than L-malic(2-) and L-citric(3-), respectively. For oxalic acid, the proposed model was R-Si = 1.89 x 10(-12) x [(25x)/(1+25x)] + 1.93 x 10(-12) x [(1990x(1))/(1+1990x(1))] (R-2 = 0.9763), where x and x(1) denote the concentrations of HLoxalic and L-oxalic, respectively, and x(1) = 10(-3.81) x x/[H+]. For malic acid, the model was R-Si =4.79 x 10(-12) x [(328-v)/(1+328x)] + 1.67 x 10(-13) x [(1149x(1))/(1+1149x(1))] (R-2 =0.9452), where x and x(1) denote the concentrations of HLmalic and L-malic, respectively, and x(1) = 10(-5.11) x x/[H+], and for citric acid, the model was R-Si = 4.73 x 10(-12) x [(845x)/(1+845x)] +4.68 x 10(-12) x [(2855x(1))/(1+2855x(1))] (R-2 =0.9682), where x and x(1) denote the concentrations of H2Lcitric and L-citric, respectively, and x(1) = 10(-11.16) x x/[H+](2). (c) 2005 Elsevier Inc. All rights reserved.

Hostelería y turismo.

Contiene: Tomo I: Hostelería y turismo : documentación de los ciclos formativos de grado superior - Tomo II: Hostelería y turismo : documentación de los ciclos formativos de grado medio

Evaluation of Ir and Pd(NO3)(2)/Mg(NO3)(2) as Modifiers for the Simultaneous Determination of Mn, Ni, Pb, and Sb in Fuel Ethanol by Graphite Furnace MS

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

ASSESSMENT of POLYATOMIC INTERFERENCES ELIMINATION USING A COLLISION REACTION INTERFACE (CRI) FOR INORGANIC ANALYSIS of FUEL ETHANOL BY ICP-QMS

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Determination of Ca, Mg, and Zn in biodiesel microemulsions by FAAS using discrete nebulization

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Market clusters for international franchising. ACES Working Papers, August 2009

While many studies of franchising have examined the organizational antecedents of internationalization, few have examined how differences among markets lead to this internationalization. Studies linking environmental factors to the companies' decision to internationalize showed that various political, social and economic factors either attract or repel international franchising investment. We build on these studies' selected variables to understand the similarities and differences among international franchising markets. Using these variables, our results show that countries divide into eight clusters with similar international franchising market characteristics. A discussion of each cluster follows with implications for franchising research.