The study aimed to establish whether family characteristics and the health behaviour and illnesses of parents and children are associated with public health nurses' (PHNs') concerns about children's physical health and psychosocial development in the context of health examinations. Factors affecting children's health and well-being should be identified as early as possible to provide children and families appropriate support. In 2007-2009, a cross-sectional study in Finland collected information about PHNs' concerns, children's health and well-being as well as the background factors affecting them during health examinations of preschool-age children and school-aged children (n = 4795).
View Article and Find Full Text PDFBackground: Family socio-economic factors and parents' health behaviours have been shown to have an impact on the health and well-being of children and adolescents. Family characteristics have also been associated with school nurses' concerns, which arose during health examinations, about children's and adolescents' physical health and psychosocial development. Parental smoking has also been associated with smoking in adolescents.
View Article and Find Full Text PDFWastewater is an important source of pathogenic enteric microorganisms in surface water and a major contaminating agent of drinking water. Although primary and secondary wastewater treatments reduce the numbers of microorganisms in wastewater, significant numbers of microbes can still be present in the effluent. The aim of this study was to test the feasibility of tertiary treatment for municipal wastewater treatment plants (WWTPs) using PIX (FeCl3) or PAX (AlCl3) coagulants and peracetic acid (PAA) the disinfectant to reduce microbial load in effluent.
View Article and Find Full Text PDFRationale: The family and the way it functions have a key role for the health and well-being of children and adolescents. Approximately 10-30% of children grow up in families where their health and well-being may be endangered or weakened. There is very little research data on public health nurses' concerns in connection with children's health examinations related to family characteristics.
View Article and Find Full Text PDFWater Sci Technol
November 2010
We describe a neural network model of a municipal wastewater treatment plant (WWTP) in which on-line total solids (TS) sewer data generated by a novel microwave sensor is used as a model input variable. The predictive performance of the model is compared with and without sewer data and with modelling with a traditional linear multiple linear regression (MLR) model. In addition, the benefits of using neural networks are discussed.
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