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		<title>BMC Public Health - Most viewed articles</title>
		<link>http://www.biomedcentral.com/bmcpublichealth/mostviewed/</link>
		<description>Most viewed articles in last 30 days from BMC Public Health (ISSN 1471-2458) published by 
				
				BioMed Central
		</description>
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				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/223"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/218"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/166"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/221"/>			    
            
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				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/231"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/234"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/188"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/8/155"/>			    
            
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		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/223">
            
            <title>SWITCH: rationale, design, and implementation of a community, school, and family-based intervention to modify behaviors related to childhood obesity</title>
			<description>Background:
Although several previous projects have attempted to address the issue of child obesity through school-based interventions, the overall effectiveness of school-based programs on health-related outcomes in youth has been poor. Thus, it has been suggested that multi-level interventions that aim to influence healthy lifestyle behaviors at the community, school and family levels may prove more successful in the prevention of childhood obesity.Methods/DesignThis paper describes the rationale, design, and implementation of a community-, school-, and family-based intervention aimed at modifying key behaviors (physical activity, screen time (Internet, television, video games), and nutrition) related to childhood obesity among third through fifth graders in two mid-western cities. The intervention involves a randomized study of 10 schools (5 intervention and 5 control schools). The intervention is being conducted during the duration of the academic year &#8211; approximately 9 months &#8211; and includes baseline and post-intervention measurements of physical activity, dietary intake, screen time and body composition.DiscussionWe hope this report will be useful to researchers, public health professionals, and school administrators and health professionals (nurses and physical/health educators) seeking to develop similar prevention programs. It is obvious that more collaborative, inter-disciplinary, multi-level work is needed before a proven, effective intervention package to modify behaviors related to childhood obesity can be generally recommended. It is our hope that SWITCH is a step in that direction.Trial RegistrationClinicalTrials.gov NCT00685555</description>
			<link>http://www.biomedcentral.com/1471-2458/8/223</link>		
			<dc:creator>Joey C Eisenmann, Douglas A Gentile, Gregory J Welk, Randi Callahan, Sarah Strickland, Monica Walsh and David A Walsh</dc:creator>
			<dc:source>BMC Public Health 2008, 8:223</dc:source>
			<dc:subject>Number of accesses: 1029</dc:subject>
			<dc:date>2008-06-29</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-223</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>223</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-29</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/218">
            
            <title>What explains between-school differences in rates of smoking?</title>
			<description>Background:
Schools have the potential to influence their pupils' behaviour through the school's social organisation and culture (non-formal school characteristics), as well as through the formal curriculum. This paper examines whether these school characteristics (which include a measure of quality of social relationships) can account for school differences in smoking rates.
Methods:
This study uses a longitudinal survey involving 5,092 pupils in 24 Scottish schools. Pupils' smoking (at age 15/16), cognitive measures, attitude to school and pupils' rating of teacher pupil relationships (at age 13/14) were linked to school level data comprising teacher assessed quality of pupil-staff relationships, school level deprivation, staying on rates and attendance. Analysis involved multi-level modelling.
Results:
Overall, 25% of males and 39% of females reported smoking, with rates by school ranging from 8% to 33% for males and from 28% to 49% for females. When individual socio-economic and socio-cultural factors were controlled for there was still a large school effect for males and a smaller (but correlated) school effect for females at 15/16 years. For girls their school effect was explained by their rating of teacher-pupil relationships and attitude to school. These variables were also significant in predicting smoking among boys. However, the school effect for boys was most radically attenuated and became insignificant when the interaction between poor quality of teacher &#8211; pupil relationships and school level affluence was fitted, explaining 82% of the variance between schools. In addition, researchers' rating of the schools' focus on caring and inclusiveness was also significantly associated with both male and female smoking rates.
Conclusion:
School-level characteristics have an impact on male and female pupils' rates of smoking up to 15/16 years of age. The size of the school effect is greater for males at this age. The social environment of schools, in particular the quality of teacher-pupil relationships, pupils' attitude to school and the school's focus on caring and inclusiveness, can influence both boys' and girls' smoking. This provides support for the school-wide or "Health Promoting School" approach to smoking prevention.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/218</link>		
			<dc:creator>Marion Henderson, Russell Ecob, Daniel Wight and Charles Abraham</dc:creator>
			<dc:source>BMC Public Health 2008, 8:218</dc:source>
			<dc:subject>Number of accesses: 982</dc:subject>
			<dc:date>2008-06-20</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-218</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>218</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-20</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/166">
            
            <title>Secular trends in height and weight among children and adolescents of the Seychelles, 1956&#8211;2006</title>
			<description>Background:
Height of individuals has long been considered as a significant index of nutrition and health of a population; still, there is little information regarding the trends of height and weight among developing or transitional countries. We assessed the secular trends in height and weight in children of the Seychelles, a rapidly developing island state in the Indian Ocean (African region).
Methods:
Height and weight were measured in all students of all schools in four selected school grades (kindergarten, 4th, 7th and 10th grades) for the periods 1998&#8211;9 (6391 children) and 2005&#8211;6 (8582 children). Data for 1956&#8211;7 was extracted from a previously published report.
Results:
At age 15.5 years, boys/girls were on average 10/13 cm taller and 15/9 kg heavier in 2005&#8211;6 than in 1956&#8211;7. Height increased in boys/girls by 1.62/0.93 cm/decade between 1956&#8211;7 and 1998&#8211;9 and by 1.14/1.82 cm/decade between 1998&#8211;9 and 2005&#8211;6. For weight, the linear increase in boys/girls was 1.38/1.10 kg/decade between 1956&#8211;7 and 1998&#8211;9 and 2.21/2.50 kg/decade between 1998&#8211;9 and 2005&#8211;6. Overall, the relative increase in weight between 1956&#8211;7 and 2005&#8211;6 was 5-fold higher than the relative increase in height.
Conclusion:
Height and weight increased markedly over time in children aged &lt;16 years in the Seychelles, consistent with large changes in socio-economic and nutritional indicators in the considered 50-year interval. The markedly steeper increase in weight than height over time is consistent with an epidemic of overweight and obesity.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/166</link>		
			<dc:creator>Pedro Marques-Vidal, George Madeleine, Sarah Romain, Anne Gabriel and Pascal Bovet</dc:creator>
			<dc:source>BMC Public Health 2008, 8:166</dc:source>
			<dc:subject>Number of accesses: 672</dc:subject>
			<dc:date>2008-05-19</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-166</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>166</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-19</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/221">
            
            <title>Prevalence of comorbidity of chronic diseases in Australia</title>
			<description>Background:
The prevalence of comorbidity is high, with 80% of the elderly population having three or more chronic conditions. Comorbidity is associated with a decline in many health outcomes and increases in mortality and use of health care resources. The aim of this study was to identify, review and summarise studies reporting the prevalence of comorbidity of chronic diseases in Australia.
Methods:
A systematic review of Australian studies (1996 &#8211; May 2007) was conducted. The review focused specifically on the chronic diseases included as national health priorities; arthritis, asthma, cancer, cardiovascular disease (CVD), diabetes mellitus and mental health problems.
Results:
A total of twenty five studies met our inclusion criteria. Over half of the elderly patients with arthritis also had hypertension, 20% had CVD, 14% diabetes and 12% mental health problem. Over 60% of patients with asthma reported arthritis as a comorbidity, 20% also had CVD and 16% diabetes. Of those with CVD, 60% also had arthritis, 20% diabetes and 10% had asthma or mental health problems.
Conclusion:
There are comparatively few Australian studies that focused on comorbidity associated with chronic disease. However, they do show high prevalence of comorbidity across national health priority areas. This suggests integration and co-ordination of the national health priority areas is critical. A greater awareness of the importance of managing a patients' overall health status within the context of comorbidity is needed together with, increased research on comorbidity to provide an appropriate scientific basis on which to build evidence based care guidelines for these multimorbid patients.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/221</link>		
			<dc:creator>Gillian E Caughey, Agnes I Vitry, Andrew L Gilbert and Elizabeth E Roughead</dc:creator>
			<dc:source>BMC Public Health 2008, 8:221</dc:source>
			<dc:subject>Number of accesses: 658</dc:subject>
			<dc:date>2008-06-27</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-221</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>221</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-27</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/206">
            
            <title>Physical activity as a possible mechanism behind the relationship between green space and health: A multilevel analysis</title>
			<description>Background:
The aim of this study was to investigate whether physical activity (in general, and more specifically, walking and cycling during leisure time and for commuting purposes, sports and gardening) is an underlying mechanism in the relationship between the amount of green space in people's direct living environment and self-perceived health. To study this, we first investigated whether the amount of green space in the living environment is related to the level of physical activity. When an association between green space and physical activity was found, we analysed whether this could explain the relationship between green space and health.
Methods:
The study includes 4.899 Dutch people who were interviewed about physical activity, self-perceived health and demographic and socioeconomic background. The amount of green space within a one-kilometre and a three-kilometre radius around the postal code coordinates was calculated for each individual. Multivariate multilevel analyses and multilevel logistic regression analyses were performed at two levels and with controls for socio-demographic characteristics and urbanicity.
Results:
No relationship was found between the amount of green space in the living environment and whether or not people meet the Dutch public health recommendations for physical activity, sports and walking for commuting purposes. People with more green space in their living environment walked and cycled less often and fewer minutes during leisure time; people with more green space garden more often and spend more time on gardening. Furthermore, if people cycle for commuting purposes they spend more time on this if they live in a greener living environment. Whether or not people garden, the time spent on gardening and time spent on cycling for commuting purposes did not explain the relationship between green space and health.
Conclusion:
Our study indicates that the amount of green space in the living environment is scarcely related to the level of physical activity. Furthermore, the amount of physical activity undertaken in greener living environments does not explain the relationship between green space and health.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/206</link>		
			<dc:creator>Jolanda Maas, Robert A Verheij, Peter Spreeuwenberg and Peter P Groenewegen</dc:creator>
			<dc:source>BMC Public Health 2008, 8:206</dc:source>
			<dc:subject>Number of accesses: 653</dc:subject>
			<dc:date>2008-06-10</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-206</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>206</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-10</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/231">
            
            <title>Cost-utility of a walking programme for moderately depressed, obese, or overweighed elderly women in primary care: a randomised controlled trial</title>
			<description>Background:
There is a considerable public health burden due to physical inactivity, because it is a major independent risk factor for several diseases (e.g., type 2 diabetes, cardiovascular disease, moderate mood disorders neurotic diseases such as depression, etc.). This study assesses the cost utility of the adding a supervised walking programme to the standard "best primary care" for overweight, moderately obese, or moderately depressed elderly women.
Methods:
One-hundred six participants were randomly assigned to an interventional group (n=55) or a control group (n=51). The intervention, called Exercise Looks After You, consisted of an invitation, from a general practitioner, to participate in a 6-month walking-based, supervised exercise program with three 50-minute sessions per week. The main outcome measures were the healthcare costs from the Health System perspective and quality adjusted life years (QALYs) using EuroQol (EQ-5D.)
Results:
Of the patients invited to participate in the program, 79% were successfully recruited, and 86% of the participants in the exercise group completed the programme. Over 6 months, the mean treatment cost per patient in the exercise group was 41 euros more than "best care". The mean incremental QALY of intervention was 0.132 (95% CI: 0.104-0.286). Each extra QALY gained by the exercise programme relative to best care cost 311 euros (95% CI, 143-394 euros). The cost effectiveness acceptability curves showed a 90% probability that the addition of the walking programme is the best strategy if the ceiling of inversion is 350 euros/QALY.
Conclusion:
The invitation strategy and exercise programme resulted in a high rate of participation and is a feasible and cost-effective addition to best care. The programme is a cost-effective resource for helping patients to increase their physical activity, according to the recommendations of general practitioners. Moreover, the present study could help decision makers enhance the preventive role of primary care and optimize health care resources.
Trial Registration: [ISRCTN98931797]</description>
			<link>http://www.biomedcentral.com/1471-2458/8/231</link>		
			<dc:creator>Narcis Gusi, Maria C Reyes, Jose L Gonzalez-Guerrero, Emilio Herrera and Jose M Garcia</dc:creator>
			<dc:source>BMC Public Health 2008, 8:231</dc:source>
			<dc:subject>Number of accesses: 604</dc:subject>
			<dc:date>2008-07-08</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-231</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>231</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-08</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/234">
            
            <title>A randomized controlled trial to evaluate self-determination theory for exercise adherence and weight control: rationale and intervention description</title>
			<description>Background:
Research on the motivational model proposed by Self-Determination Theory (SDT) provides theoretically sound insights into reasons why people adopt and maintain exercise and other health behaviors, and allows for a meaningful analysis of the motivational processes involved in behavioral self-regulation. Although obesity is notoriously difficult to reverse and its recidivism is high, adopting and maintaining a physically active lifestyle is arguably the most effective strategy to counteract it in the long-term. The purposes of this study are twofold: i) to describe a 3-year randomized controlled trial (RCT) aimed at testing a novel obesity treatment program based on SDT, and ii) to present the rationale behind SDT's utility in facilitating and explaining health behavior change, especially physical activity/exercise, during obesity treatment.
Methods:
Study design, recruitment, inclusion criteria, measurements, and a detailed description of the intervention (general format, goals for the participants, intervention curriculum, and main SDT strategies) are presented. The intervention consists of a 1-year group behavioral program for overweight and moderately obese women, aged 25 to 50 (and pre-menopausal), recruited from the community at large through media advertisement. Participants in the intervention group meet weekly or bi-weekly with a multidisciplinary intervention team (30 2 h sessions in total), and go through a program covering most topics considered critical for successful weight control. These topics and especially their delivery were adapted to comply with SDT and Motivational Interviewing guidelines. Comparison group receive a general health education curriculum. After the program, all subjects are follow-up for a period of 2 years.DiscussionResults from this RCT will contribute to a better understanding of how motivational characteristics, particularly those related to physical activity/exercise behavioral self-regulation, influence treatment success, while exploring the utility of Self-Determination Theory for promoting health behavior change in the context of obesity.Trial RegistrationClinical Trials Gov. Identifier NCT00513084</description>
			<link>http://www.biomedcentral.com/1471-2458/8/234</link>		
			<dc:creator>Marlene N Silva, David Markland, Cl&#225;udia S Minderico, Paulo N Vieira, Margarida M Castro, S&#237;lvia R Coutinho, Teresa C Santos, Margarida G Matos, Lu&#237;s B Sardinha and Pedro J Teixeira</dc:creator>
			<dc:source>BMC Public Health 2008, 8:234</dc:source>
			<dc:subject>Number of accesses: 563</dc:subject>
			<dc:date>2008-07-09</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-234</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>234</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-09</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/188">
            
            <title>Obesity prevention in child care: A review of U.S. state regulations</title>
			<description>ABSTRACTObjectiveTo describe and contrast individual state nutrition and physical activity regulations related to childhood obesity for child care centers and family child care homes in the United States.
Methods:
We conducted a review of regulations for child care facilities for all 50 states and the District of Columbia. We examined state regulations and recorded key nutrition and physical activity items that may contribute to childhood obesity. Items included in this review were: 1) Water is freely available; 2) Sugar-sweetened beverages are limited; 3) Foods of low nutritional value are limited; 4) Children are not forced to eat; 5) Food is not used as a reward; 6) Support is provided for breastfeeding and provision of breast milk; 7) Screen time is limited; and 8) Physical activity is required daily.
Results:
Considerable variation exists among state nutrition and physical activity regulations related to obesity. Tennessee had six of the eight regulations for child care centers, and Delaware, Georgia, Indiana, and Nevada had five of the eight regulations. Conversely, the District of Columbia, Idaho, Nebraska and Washington had none of the eight regulations. For family child care homes, Georgia and Nevada had five of the eight regulations; Arizona, Mississippi, North Carolina, Oregon, Tennessee, Texas, Vermont, and West Virginia had four of the eight regulations. California, the District of Columbia, Idaho, Iowa, Kansas, and Nebraska did not have any of the regulations related to obesity for family child care homes.
Conclusion:
Many states lack specific nutrition and physical activity regulations related to childhood obesity for child care facilities. If widely implemented, enhancing state regulations could help address the obesity epidemic in young children in the United States.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/188</link>		
			<dc:creator>Sara E Benjamin, Angie Cradock, Elizabeth M Walker, Meghan Slining and Matthew W Gillman</dc:creator>
			<dc:source>BMC Public Health 2008, 8:188</dc:source>
			<dc:subject>Number of accesses: 562</dc:subject>
			<dc:date>2008-05-30</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-188</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>188</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-30</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/8/155">
            
            <title>Sexual uses of alcohol and drugs and the associated health risks: A cross sectional study of young people in nine European cities</title>
			<description>Background:
Young people in European countries are experiencing high levels of alcohol and drug use and escalating levels of sexually transmitted infections. Individually these represent major public health priorities. Understanding of the association between sex and substance use, and specifically the strategic roles for which young people utilise substances to facilitate sexual activity, remains limited.
Methods:
Respondent driven sampling methodology was used in nine European cities to survey 1,341 16&#8211;35 year olds representing youth and younger adults who routinely engage in nightlife. Participants self-completed questionnaires, designed to gather demographic, social, and behavioural data on historic and current substance use and sexual behaviour.
Results:
Respondents reported strategic use of specific substances for different sexual purposes. Substances differed significantly in the purposes for which each was deployed (e.g. 28.6% of alcohol users use it to facilitate sexual encounters; 26.2% of cocaine users use it to prolong sex) with user demographics also relating to levels of sexual use (e.g. higher levels of: ecstasy use by males to prolong sex; cocaine use by single individuals to enhance sensation and arousal). Associations between substance use and sex started at a young age, with alcohol, cannabis, cocaine or ecstasy use before age 16 all being associated with having had sex before the age of 16 (odds ratios, 3.47, 4.19, 5.73, 9.35 respectively). However, sexes differed and substance use under 16 years was associated with a proportionately greater increase in early sex amongst girls. Respondents' current drug use was associated with having multiple sexual partners. Thus, for instance, regular cocaine users (c.f. never users) were over five times more likely to have had five or more sexual partners in the last 12 months or have paid for sex.
Conclusion:
An epidemic of recreational drug use and binge drinking exposes millions of young Europeans to routine consumption of substances which alter their sexual decisions and increase their chances of unsafe and regretted sex. For many, substance use has become an integral part of their strategic approach to sex, locking them into continued use. Tackling substances with both physiological and psychological links to sex requires approaching substance use and sexual behaviour in the same way that individuals experience them; as part of the same social process.</description>
			<link>http://www.biomedcentral.com/1471-2458/8/155</link>		
			<dc:creator>Mark A Bellis, Karen Hughes, Amador Calafat, Montse Juan, Anna Ramon, Jos&#233; A Rodriguez, Fernando Mendes, Susanne Schnitzer and Penny Phillips-Howard</dc:creator>
			<dc:source>BMC Public Health 2008, 8:155</dc:source>
			<dc:subject>Number of accesses: 526</dc:subject>
			<dc:date>2008-05-09</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-8-155</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>8</prism:volume>
					
			
							
					<prism:startingPage>155</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-09</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1471-2458/2/13">
            
            <title>Identification of bacteria in drinking and purified water during the monitoring of a typical water purification system</title>
			<description>Background:
A typical purification system that provides purified water which meets ionic and organic chemical standards, must be protected from microbial proliferation to minimize cross-contamination for use in cleaning and preparations in pharmaceutical industries and in health environments.MethodologySamples of water were taken directly from the public distribution water tank at twelve different stages of a typical purification system were analyzed for the identification of isolated bacteria. Two miniature kits were used: (i) identification system (api 20 NE, Bio-M&#233;rieux) for non-enteric and non-fermenting gram-negative rods; and (ii) identification system (BBL crystal, Becton and Dickson) for enteric and non-fermenting gram-negative rods. The efficiency of the chemical sanitizers used in the stages of the system, over the isolated and identified bacteria in the sampling water, was evaluated by the minimum inhibitory concentration (MIC) method.
Results:
The 78 isolated colonies were identified as the following bacteria genera: Pseudomonas, Flavobacterium and Acinetobacter. According to the miniature kits used in the identification, there was a prevalence of isolation of P. aeruginosa 32.05%, P. picketti (Ralstonia picketti) 23.08%, P. vesiculares 12.82%,P. diminuta 11.54%, F. aureum 6.42%, P. fluorescens 5.13%, A. lwoffi 2.56%, P. putida 2.56%, P. alcaligenes 1.28%, P. paucimobilis 1.28%, and F. multivorum 1.28%.
Conclusions:
We found that research was required for the identification of gram-negative non-fermenting bacteria, which were isolated from drinking water and water purification systems, since Pseudomonas genera represents opportunistic pathogens which disperse and adhere easily to surfaces, forming a biofilm which interferes with the cleaning and disinfection procedures in hospital and industrial environments.</description>
			<link>http://www.biomedcentral.com/1471-2458/2/13</link>		
			<dc:creator>Vessoni Thereza Christina Penna, Silva Alzira Maria Martins and Priscila Gava Mazzola</dc:creator>
			<dc:source>BMC Public Health 2002, 2:13</dc:source>
			<dc:subject>Number of accesses: 502</dc:subject>
			<dc:date>2002-08-15</dc:date>
			<dc:identifier>doi:10.1186/1471-2458-2-13</dc:identifier>
			
			
							
					<prism:publicationName>BMC Public Health</prism:publicationName>
					
			
							
					<prism:issn>1471-2458</prism:issn>
					
			
							
					<prism:volume>2</prism:volume>
					
			
							
					<prism:startingPage>13</prism:startingPage>
					
			
							
					<prism:publicationDate>2002-08-15</prism:publicationDate>
					

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