1,815,769 research outputs found
Sexual Quality of Life in Patients with Axial Spondyloarthritis in the Biologic Treatment Era
Author's accepted manuscript.This is a pre-copyediting, author-produced PDF of an article accepted for publication in The Journal of Rheumatology following peer review. The definitive publisher-authenticated version Berg, K. H., Rohde, G., Prøven, A., Benestad, E. E. P., Østensen, M. & Haugeberg, G. (2019). Sexual Quality of Life in Patients with Axial Spondyloarthritis in the Biologic Treatment Era. The Journal of Rheumatology, 46(9), 1075-1083 is available online at: https://www.jrheum.org/content/46/9/1075.Objective. To examine the relationship between demographics, disease-related variables, treatment, and sexual quality of life (SQOL) in men and women with axial spondyloarthritis (axSpA).
Methods. AxSpA patients were consecutively recruited from 2 rheumatology outpatient clinics in southern Norway. A broad spectrum of demographics, disease, treatment, and QOL data were systematically collected. SQOL was assessed using the SQOL-Female (SQOL-F) questionnaire (score range 18–108). Appropriate statistical tests were applied for group comparison, and the association between independent variables and SQOL-F was examined using multiple linear regression analysis.
Results. A total of 360 (240 men, 120 women) axSpA patients with mean age 45.5 years and disease duration 13.9 years were included. Seventy-eight percent were married/cohabiting, 26.7% were current smokers, 71.0% were employed, 86.0% performed > 1-h exercise per week, and 88.0% were HLA-B27–positive. Mean (SD) values for disease measures were C-reactive protein (CRP) 8.5 (12.1) mg/l, Bath Ankylosing Spondylitis Disease Activity Index 3.1 (2.1), Bath Ankylosing Spondylitis Global Score (BAS-G) 3.8 (2.5), Bath Ankylosing Spondylitis Functional Index 2.7 (2.2), and Health Assessment Questionnaire 0.6 (0.5). The proportion of patients using nonsteroidal antiinflammatory drugs was 44.0%, synthetic disease-modifying antirheumatic drugs (DMARD) 5.0%, and biologic DMARD 24.0%. Mean (SD) total sum score for SQOL was 76.6 (11.3). In multivariate analysis, female sex, increased body mass index, measures reflecting disease activity (BAS-G and CRP), and current biologic treatment were independently associated with a lower SQOL.
Conclusion. Our data suggest that inflammation in patients with axSpA even in the biologic treatment era reduces SQOL.acceptedVersio
Assessment of the Relationship between Body Mass Index and Gross Motor Development in Children
How to Cite This Article: Amouian S, AbbasiShaye Z, Mohammadian S, Bakhtiari M, Parsianmehr B. Assessment of the Relationship between Body Mass Index and Gross Motor Development in Children. Iran J Child Neurol.Summer 2017; 11(3):7-14. AbstractObjectiveObesity is a growing epidemic and public health problem in children. The purpose of this study was to determine the effect of body mass index (BMI) on the gross motor development.Materials & MethodsIn this cross-sectional study conducted in 2012-13 in Gorgan, northern Iran, the gross motor development of 90 children 3-5 yr old in three groups of lean, normal and obese/overweight were evaluated by the ages and stages questionnaires (ASQ) and Denver 2 scale.ResultsTotally, 90 children were enrolled and their developmental level was assessed with two ASQ and Denver II indices. The mean and standard deviation of the ASQ scores of the children was 53.11± 11.06 and based on Denver index, 9 children (10%) were at developmental delay status, 15 (16.7%) in the caution conditions, and 53 (58.9%) at normal developmental status. The developmental level was lower in obese/overweight group comparing with other groups according to both Denver and ASQ and there was a significant difference between obese/overweight group and normal group based in Denver and ASQ, respectively. There was no significant difference between underweight and normal and obese and underweight groups.ConclusionOverweight and obesity could affect on the gross motor development. References1. Deforche B, De Bourdeaudhuij I, D’hondt E, Cardon G. Objectively measured physical activit, physical activity related personality and body mass index in 6- to 10-yrold children: across-sectional study. Int J Behav Nutr Phys Act 2009;14;6:25.2. Smetanina N, Albaviciute E, Babinska V, Karinauskiene L, Albertsson-Wikland K, Petrauskiene A et al. Prevalence of overweight/obesity in relation to dietary habits and lifestyle among 7-17 years old children and adolescents in Lithuania. BMC Public Health 2015; 15: 1001.3. Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007-2008. JAMA 2010; 20;303:242- 9.4. D’hondt E, Deforche B, De Bourdeaudhuij I, Lenoir M. Relationship between Motor Skill and Body Mass Index in 5- to 10-Year-Old Children. Adapt PhysActiv Q 2009;26:21-37.5. Hurvitz EA, Green LB, Hornyak JE, Khurana SR, Koch LG. Body mass index measures in children with cerebral palsy related to gross motor function classification: a clinic-based study. Am J Phys Med Rehabil 2008;87:395–403.6. Osika W, Montgomery SM. Physical control and coordination in childhood and adult obesity: Longitudinal Birth Cohort Study. BMJ 2008; 337: a699.7. Lynch BA, Finney Rutten LJ, Jacobson RM, Kumar S, Elrashidi MY, Wilson PM, et al. Health Care Utilization by Body Mass Index in a Pediatric Population. Acad Pediatr 2015;15:644-50.8. Morano M, Colella D, Robazza C, Bortoli L, Capranica L. Physical self-perception and motor performance in normal-weight, overweight and obese children. Scand J Med Sci Sports 2011; 21: 465–73.9. D’Hondt E, Gentier I, Deforche B, Tanghe A, De Bourdeaudhuij, Lenoir M. Weight Loss and Improved Gross Motor Coordination in Children as a Result of Multidisciplinary Residential Obesity Treatment. Obesity 2011; 19:1999–2005.10. Tandon P, Thompson S, Moran L, Lengua L. Body Mass Index Mediates the Effects of Low Income on Preschool Children’s Executive Control, with Implications for Behavior and Academics. Child Obes 2015; 11: 569–76.11. Datar A, Sturm R. Childhood overweight and elementary school outcomes. Int J Obes (Lond) 2006;30:1449–60.12. Nervik D, Martin K, Rundquist P, Cleland J. The Relationship Between Body Mass Index and Gross Motor Development in Children Aged 3 to 5 Years. Ther 2011;23:144–48.13. Vameghi R, Sajedi F, Kraskian Mojembari A, Habiollahi A, Lornezhad HR, Delavar B. Cross-Cultural Adaptation, Validation and Standardization of Ages and Stages Questionnaire (ASQ) in Iranian Children. Iran J Publ Health 2013;42 :522-28.14. Glascoe FP. Evidence-based approach to developmental and behavioural surveillance using parents’ concerns. Child Care Health Dev 2000;26:137-49.15. Rydz, D, Shevell M, Majnemer A, Oskoui M. Developmental Screening. J Child Neurol 2005; 20,4.16. Klamer A, Lando A, Pinborg A, Greisen G. Ages and Stages Questionnaire used to measure cognitive deficit in children born extremely preterm. Acta Pædiatrica 2005; 94: 1327–29.17. Rydz D, Srour M, Oskoui M, Marget N, Shiller M, Birnbaum R, et al. Screening for developmental delay in the setting of a community pediatric clinic: a prospective assessment of parent-report questionnaires. Pediatrics 2006 ;118:1178-86.18. Elbers J, Macnab A, McLeod E, Gagnon F.The Ages and Stages Questionnaires: feasibility of use as a screening tool for children in Canada. Can J Rural Med 2008 ;13:9-14.19. Kerstjens JM, Bos AF, ten Vergert EM, de Meer G, Butcher PR, Reijneveld SA. Support for the global feasibility of the Ages and Stages Questionnaire as developmental screener. Early Hum Dev 2009;85:443-7.20. Glascoe FP. Screening for developmental and behavioral problems. Ment Retard Dev Disabil Res Rev 2005;11:173–79.21. Glascoe FP. Using Parents’ Concerns to Detect and Address Developmental and Behavioral Problems. J Soc Pediatr Nurs 1999;4:24-3.22. Graf C, Koch B, Kretschmann-Kandel E, Falkowski G, Christ H, Coburger S, et al. Correlation between BMI, leisure habits and motor abilities in childhood (CHILTproject). Int J Obes Relat Metab Disord 2004 ;28:22-6.23. Williams J, Wake M, Hesketh K, Maher E, Waters E. Health-Related Quality of Life of Overweight and Obese Children. JAMA 2005;293(1):70-76.24. Casajus JA, Leiva MT, Villarroya A, Legaz A, Moreno LA. Physical performance and school physical education in overweight Spanish children. Ann Nutr Metab 2007;51:288- 96.25. Slining M, Adair LS, Goldman BD, Borja JB, Bentley M. Infant overweight is associated with delayed motor development. J Pediatr 2010; 157: 20–25.26. Lopes VP, Stodden DF, Bianchi MM, Maia JA, Rodrigues LP. Correlation between BMI and motor coordination in children. J Sci Med Sport 2012;15:38-43.27. Mond JM, Stich H, Hay PJ, Kraemer A, Baune BT. Associations between obesity and developmental functioning in pre-school children: a population-based study. Int J Obes (Lond) 2007;31:1068-73.28. Cawley J, Katharina Spiess C. Obesity and Developmental Functioning Among Children Aged 2-4 Years. Deutsches Institut für Wirtschaftsforschung 2008 ;786:1-12.29. Siahkouhian M, Mahmoodi H, SalehiM. Relationship Between Fundamental Movement Skills and Body Mass Index in 7-To-8 Year-Old Children. World Appl Sci J 2011;15:1354-60.30. Castetbon K, Andreyeva T. Obesity and motor skills among 4 to 6-year-old children in the united states: nationally representative surveys. BMC Pediatrics 2012;12:28
مقایسه همبستگی شاخص های استرس گرمایی دمای تر گویسان ، استرین فیزیولوژیکی و استرین فیزیولوژیکی برپایه ضربان قلب با ضربان قلب و دمای تمپان کارگران یک کارخانه شیشه
Backgrounds and Objective: Heat stress is one of the main and the most common problems in the work environments. Extreme heat exposure can cause different clinical symptoms, including headache, nausea, vomiting. The aim of this study is to compare the correlation of Wet Bulb Globe Temperature, Physiological Strain Index and Physiological Strain Index based on heart rateheat stress indices with tympanic temperature and heart rate among the workers of a glass factory. Materials and Methods: This cross- sectional study was conducted in a glass factory located in Tehran. 72 male subjects were participated in the study. Atmospheric parameters including dry temperature, natural wet bulb temperature and globe temperature were measured to determine the heat stress indices. Tympanic temperature and heart beat rates were also measured. The data were statistically analyzed using the Pearson and Spearman correlation as well as the linear regression tests. Results: The correlation between tympanic temperature and heart rate with heat stress indices was significant (p-value<0.05). The poly-nominal correlation (R2) between Wet Bulb Globe Temperature Index with heart rate and tympanic temperature was 0.208 and 0.214 respectively. This correlation between Physiological Strain Index with heart rate and tympanic temperature was 0.423 and 0.701 respectively. The correlation between Physiological strain index based on heart rate with heart rate and tympanic temperature was 0.579 and 0.068 respectively. Conclusion: The Physiological Strain Index heat stress index had higher correlation with measured physiological parameters in this study. REFERENCES 1. Sung T-I, Wu P-C, Lung S-C, Lin C-Y, Chen M-J, Su H-J. Relationship between heat index and mortality of 6 major cities in Taiwan. Science of the total environment. 2013;442:275-81.2. Brahmapurkar P, Ashok G, Sanjay PZ, Vaishali KB, Gautam MK, Subhash B, et al. Heat Stress and its Effect in Glass Factory Workers of Central India. International Journal of Engineering Research & Technology. 2012;1(8):9-12.3. Dehghan H, Habibi E, Khodarahmi B, Yousefi HA, Hasanzadeh A. The relationship between observational–perceptual heat strain evaluation method and environmental/physiological indices in warm workplace. Pakistan Journal of Medical Sciences. 2013;29(1).4. knottnerus JA. presentation of advisory letter heat stress in the workplace :Health Council of Netherlands; November 24, 2008.5. Dehghan H, Mortazavi S, Jafari M, Maracy M, Jahangiri M. The evaluation of heat stress through monitoring environmental factors and physiological responses in melting and casting industries workers. International Journal of Environmental Health Engineering. 2012;1(1):21.6. Falahati M, Alimohammadi I, Farshad A, Zokaei M, Sardar A. Evaluating the reliability of WBGT and P4SR by comparison to core body temperature. Iran Occupational Health. 2012;9(3).7. Pourmahabadian M, Adelkhah M, Azam K. Heat exposure assessment in the working environment of a glass manufacturing unit. Iranian Journal of Environmental Health Science & Engineering. 2008;5(2).8. Golbabaie F, Monazam Esmaieli MR, Hemmatjou R, Gholam Reza Pour Y, Hosseini M. Comparing the Heat Stress (DI, WBGT, SW) Indices and the Men Physiological Parameters in Hot and Humid Environment. Iranian Journal of Health and Environment. 2012;5(3):245-52.9. Dehghan Shahreza H, Mortazavi SB, Jafari MJ MM, Khavanin A, Jahangiri M, . Combined application of Wet Bulb Globe Temperature (WBGT) and Physiological strain index based on heart rate (PSIHR) in hot wet and hot dry conditions: A guide to better estimation of the heat strain. Seven Congress of Occupational Safety and Health; Iran2011. p. 1-11.10. Golbabaei F, Omidvar M, . man thermal environment. second, editor: university of tehran; 2008.11. Lee J-Y, Nakao K, Takahashi N, Son S-Y, Bakri I, Tochihara Y. Validity of Infrared Tympanic Temperature for the Evaluation of Heat Strain While Wearing Impermeable Protective Clothing in Hot Environments. Industrial health. 2011;49(6):714-25. سابقه و هدف:استرس گرمایی یکی از اصلیترین و شایعترین مشکلات در محیطهای کاری است. فشار گرمایی بیش از حد میتواند به نشانههای مختلف کلینیکی از جمله سردرد، تهوع و استفراغ بینجامد. هدف از این مطالعه مقایسه رابطه همبستگی شاخصهای استرس گرمایی دمای تر گویسان، استرین فیزیولوژیکی و استرین فیزیولوژیکی برپایه ضربان قلب با پارامترهای فیزیولوژیکی دمای تمپان و ضربان قلب در یک صنعت شیشه است.روش بررسی: این مطالعه مقطعی بر روی 72 نفر کارگر مرد در یک کارخانه شیشه انجام گرفت.پارامترهای جوی دمای خشک، دمای تر طبیعی و دمای گویسان اندازهگیری و شاخصهای استرس گرمایی برآورد شد. دمای تمپان و ضربان قلب نیز اندازهگیری شدند. دادهها با استفاده از تجزیه و تحلیل آماری ضریب همبستگی پیرسون و اسپیرمن ورگرسیون خطی تجزیه و تحلیل شد.یافته ها: همبستگی بین دمای تمپان و ضربان قلب با شاخصها معنیدار بود(05/0p-value<). میزان همبستگی بین شاخص دمای تر گویسان با ضربان قلب و دمای تمپان به ترتیب (208/0) و (214/0)، بین شاخص استرین فیزیولوژیکی با ضربان قلب و دمای تمپان (423/0) و (701/0) و بین شاخص استرین فیزیولوژیکی برپایه ضربان قلب با ضربان قلب و دمای تمپان به ترتیب (579/0) و (068/0) میباشد.نتیجه گیری: شاخص استرین فیزیولوژیکی نسبت به شاخصهای دیگر همبستگی بیشتری با پارامترهای فیزیولوژیکی اندازه گیری شده در این مطالعه دارد بنابراین شاخص استرین فیزیولوژیکی برای ارزیابی استرس گرمایی در بین کارگران به عنوان بهترین شاخص معرفی میشود.
Automatic design of basin-specific drought indexes for highly regulated water systems
[EN] Socio-economic costs of drought are progressively increasing worldwide due to undergoing alterations of hydro-meteorological regimes induced by climate change. Although drought management is largely studied in the literature, traditional drought indexes often fail at detecting critical events in highly regulated systems, where natural water availability is conditioned by the operation of water infrastructures such as dams, diversions, and pumping wells. Here, ad hoc index formulations are usually adopted based on empirical combinations of several, supposed-to-be significant, hydro-meteorological variables. These customized formulations, however, while effective in the design basin, can hardly be generalized and transferred to different contexts. In this study, we contribute FRIDA (FRamework for Index-based Drought Analysis), a novel framework for the automatic design of basin-customized drought indexes. In contrast to ad hoc empirical approaches, FRIDA is fully automated, generalizable, and portable across different basins. FRIDA builds an index representing a surrogate of the drought conditions of the basin, computed by combining all the relevant available information about the water circulating in the system identified by means of a feature extraction algorithm. We used the Wrapper for Quasi-Equally Informative Subset Selection (W-QEISS), which features a multi-objective evolutionary algorithm to find Pareto-efficient subsets of variables by maximizing the wrapper accuracy, minimizing the number of selected variables, and optimizing relevance and redundancy of the subset. The preferred variable subset is selected among the efficient solutions and used to formulate the final index according to alternative model structures. We apply FRIDA to the case study of the Jucar river basin (Spain), a drought-prone and highly regulated Mediterranean water resource system, where an advanced drought management plan relying on the formulation of an ad hoc "state index" is used for triggering drought management measures. The state index was constructed empirically with a trial-and-error process begun in the 1980s and finalized in 2007, guided by the experts from the Confederacion Hidrografica del Jucar (CHJ). Our results show that the automated variable selection outcomes align with CHJ's 25-year-long empirical refinement. In addition, the resultant FRIDA index outperforms the official State Index in terms of accuracy in reproducing the target variable and cardinality of the selected inputs set.The work has been partially funded by the European Commission under the IMPREX project belonging to Horizon 2020 framework programme (grant no. 641811). The authors would like to thank the planning office of the Confederacion Hidrografica del Jucar (CHJ) for providing the data used in this study.Zaniolo, M.; Giuliani, M.; Castelletti, A.; Pulido-Velazquez, M. (2018). Automatic design of basin-specific drought indexes for highly regulated water systems. HYDROLOGY AND EARTH SYSTEM SCIENCES. 22(4):2409-2424. https://doi.org/10.5194/hess-22-2409-2018S24092424224AghaKouchak, A.: Recognize anthropogenic drought, Nature, 524, p. 409, 2015a. aAghaKouchak, A.: A multivariate approach for persistence-based drought prediction: Application to the 2010–2011 East Africa drought, J. Hydrol., 526, 127–135, 2015b. aAlcamo, J., Flörke, M., and Märker, M.: Future long-term changes in global water resources driven by socio-economic and climatic changes, Hydrolog. Sci. J., 52, 247–275, 2007. aAndreu, J., Capilla, J., and Sanchís, E.: AQUATOOL, a generalized decision-support system for water-resources planning and operational management, J. 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Pharmacokinetic-Pharmacodynamic Modeling of the Antinociceptive Effect of Diclofenac in the Rat 1
ABSTRACT The relationship between the pharmacokinetics and the antinociceptive effect of diclofenac was evaluated using the paininduced functional impairment model in the rat. Male Wistar rats were injected with uric acid in the knee joint of the right hind limb, which induced its dysfunction. Once the dysfunction was complete, animals received a p.o. dose of 0.56, 1, 1.8, 3.2, 5.6 or 10 mg/kg of sodium diclofenac, and the antinociceptive effect and drug blood concentration were simultaneously evaluated at selected times for a period of 6 h. Diclofenac produced a dose-dependent antinociceptive effect, measured as a recovery of the functionality of the injured limb. However, the onset of the antinociceptive effect was delayed with respect to blood concentrations. Moreover, the effect lasted longer than expected from pharmacokinetic data. Therefore, when functionality index was plotted against diclofenac blood concentration, an anticlockwise hysteresis loop was observed for all doses. Hysteresis collapse was achieved using the effect-compartment model, and the plot of functionality index against diclofenac concentration in the effect-compartment data was well fitted by the sigmoidal E max model. Our data suggest slow equilibrium kinetics between diclofenac concentration in blood and at its site of action, which leads to a delayed onset of the antinociceptive effect as well as a longer duration of the response resulting from drug accumulation in synovial fluid. Diclofenac is an NSAID that has been shown to be effective for relieving pain in rheumatic and nonrheumatic diseases On the other hand, it has been established that the relationship between pharmacokinetic properties and pharmacologic effect is the basis for a more rational drug regimen design, because it allows prediction of the time course of the intensity of the effect There are reports wherein the anti-inflammatory and antinociceptive effect of diclofenac cannot be directly explained by circulating concentrations in animals Materials and Methods Animals. Male Wistar rats (weighing, 180-220 g) from our own breeding facilities [Crl:(WI)BR], were used in this study. Animals were housed in a room with controlled temperature (22 Ϯ 1°C) for at least 2 days before the study. Food was withheld for 12 h before the Received for publication May 10, 1996. 1 This work is supported by CONACYT, grant 0250-M. ABBREVIATIONS: AUC, area under the blood concentration-time curve; AUC E , area under the functionality index-time curve; C, blood concentration; C max , maximal concentration; E max , maximal effect; E max obs , maximal observed effect; Ke0, transference rate constant from site effect; PIFIR, pain-induced functional impairment model in the rat; PE, polyethylene; NSAID, nonsteroidal anti-inflammatory drug; FI, functionality index
Association Between Oxygenation And Ventilation Index With The Time On Mechanical Ventilation In Pediatric Intensive Care Patients [relação Entre índice De Oxigenação E Ventilação Com O Tempo Em Ventilação Mecânica De Pacientes Em Terapia Intensiva Pediátrica]
Objective: To correlate the oxygenation index (OI) and the ventilation index (VI) with the time of invasive mechanical ventilation (IMV) in pediatric patients. Methods: This prospective and observational study enrolled patients from 28 days to 14 years of age, admitted in the Pediatric Intensive Care Unit of a university hospital. The values of age, weight, pH, partial pressure of oxygen (PaO 2), partial pressure of carbon dioxide (PaCO 2), OI and VI were measured from day one to the day five and they were correlated with the time on IMV. The total time on mechanical ventilation was divided into: <7 days and ≥7 days. Results: 28 patients were studied. The time spent on IMV showed a significant negative correlation with the pH on the fourth day and with the PaO 2 on the fifth day. The time on IMV showed a positive correlation with the OI on the third and fourth days and with the VI on the third, fourth and fifth days. There were significant differences in the age and pH on the fourth and fifth days and in the VI from the second to fifth days between the group that remained less than seven days and those that remained seven days or more on IMV. Conclusions: VI, OI, pH and PaO 2 measured during the first five days of IMV were associated with prolonged IMV, reflecting the severity of the initial ventilatory disturb.293348351Farias, J.A., Frutos, F., Esteban, A., Flores, J.C., Retta, A., Baltodano, A., What is the daily practice of mechanical ventilation in pediatric intensive care units? A multicenter study (2004) Intensive Care Med, 30, pp. 918-925Torres, A., Gatell, J.M., Aznar, E., El-Ebiary, M., de la, B.P.J., Gonzalez, J., Re-intubation increases the risk of nosocomial pneumonia in patients needing mechanical ventilation (1995) Am J Respir Crit Care Med, 152, pp. 137-141Almeida-Júnior, A.A., da Silva, M.T., Almeida, C.C., Jacomo, A.D., Nery, B.M., Ribeiro, J.D., Association between ventilation index and time on mechanical ventilation in infants with acute viral bronchiolits (2005) J Pediatr (Rio J), 81, pp. 466-470Khan, N., Brown, A.R., Venkataraman, S.T., Predictors of extubation success and failure in mechanically ventilated infants and children (1996) Crit Care Med, 24, pp. 1568-1579Paret, G., Ziv, T., Barzilai, A., Ben-Abraham, R., Vardi, A., Manisterski, Y., Ventilation index and outcome in children with acute respiratory distress syndrome (1998) Pediatr Pulmonol, 26, pp. 125-128Peters, M.J., Tasker, R.C., Kiff, K.M., Yates, R., Hatch, D.J., Acute hypoxemic respiratory failure in children: Case mix and the utility of respiratory severity indices (1998) Intensive Care Med, 24, pp. 699-705Trachsel, D., McCrindle, B.W., Nakagawa, S., Bohn, D., Oxygenation index predicts outcome in children with acute hypoxemic respiratory failure (2005) Am J Respir Crit Care Med, 172, pp. 206-211Venkataraman, S.T., Khan, N., Brown, A., Validation of predictors of extubation success and failure in mechanically ventilated infants and children (2000) Crit Care Med, 28, pp. 2991-2996Aggarwal, R., Downe, L., Use of high frequency ventilation as a rescue measure in premature babies with severe respiratory failure (2000) Indian Pediatr, 37, pp. 522-526Goldman, A.P., Tasker, R.C., Hosiasson, S., Henrichsen, T., Macrae, D.J., Early response to inhaled nitric oxide and its relationship to outcome in children with severe hypoxemic respiratory failure (1997) Chest, 112, pp. 752-758Relvas, M.S., Silver, P.C., Sagy, M., Prone positioning of pediatric patients with ARDS results in improvement in oxygenation if maintained > 12 h daily (2003) Chest, 124, pp. 269-274Wessel, D.L., Adatia, I., van Marter, L.J., Thompson, J.E., Kane, J.W., Stark, A.R., Improved oxygenation in a randomized trial of inhaled nitric oxide for persistent pulmonary hypertension of the newborn (1997) Pediatrics, 100, pp. E7Yapicioǧlu, H., Yildizdaş, D., Bayram, I., Sertdemir, Y., Yilmaz, H.L., The use of surfactant in children with acute respiratory distress syndrome: Efficacy in terms of oxygenation, ventilation and mortality (2003) Pulm Pharmacol Ther, 16, pp. 327-33
A Multicriteria Model for the Assessment of Countries' Environmental Performance
[EN] Countries are encouraged to integrate environmental performance metrics by covering the key value-drivers of sustainable development, such as environmental health and ecosystem vitality. The proper measurement of environmental trends provides a foundation for policymaking, which should be addressed by considering the multicriteria nature of the problem. This paper proposes a goal programming model for ranking countries according to the multidimensional nature of their environmental performance metrics by considering 10 issue categories and 24 performance indicators. The results will provide guidance to those countries that aspire to become leaders in environmental performance.Guijarro, F. (2019). A Multicriteria Model for the Assessment of Countries' Environmental Performance. International Journal of Environmental research and Public Health. 16(16):1-15. https://doi.org/10.3390/ijerph16162868S1151616Short, F. T., Kosten, S., Morgan, P. A., Malone, S., & Moore, G. E. (2016). Impacts of climate change on submerged and emergent wetland plants. Aquatic Botany, 135, 3-17. doi:10.1016/j.aquabot.2016.06.006Lynch, A. J., Myers, B. J. E., Chu, C., Eby, L. A., Falke, J. A., Kovach, R. P., … Whitney, J. E. (2016). Climate Change Effects on North American Inland Fish Populations and Assemblages. Fisheries, 41(7), 346-361. doi:10.1080/03632415.2016.1186016Wang, Z.-X., Hao, P., & Yao, P.-Y. (2017). Non-Linear Relationship between Economic Growth and CO2 Emissions in China: An Empirical Study Based on Panel Smooth Transition Regression Models. International Journal of Environmental Research and Public Health, 14(12), 1568. doi:10.3390/ijerph14121568Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2018). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 141(1), 61-94. doi:10.1007/s11205-017-1832-9Biggeri, M., Clark, D. A., Ferrannini, A., & Mauro, V. (2019). 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Development of a biking index for measuring Mediterranean cities mobility
[EN] The European Union, its member states and local authorities have been working for long time on the design of solutions for future sustainable mobility. The promotion of a sustainable and affordable urban transport contemplates the bicycle as a mean of transport. The reasons for analysing the cycling mobility in urban areas, has its origin in the confrontation with motorized vehicles, as a sustainable response to the environment. In this context of sustainable mobility, the research team has studied the use of bicycles in Mediterranean cities, specifically in coastal tourist areas. The present work shows the development of a mobility index oriented to the bicycle, transport that competes with the private vehicle. By means of a survey methodology, the research group proceeded to collect field data and the subsequent analysis of them, for the development of a mobility index adapted to bicycle mobility, and with possibilities to adapt to urban environments.Ros-Mcdonnell, L.; De-La-Fuente, M.; Ros-Mcdonnell, D.; Cardós Carboneras, MJ. (2020). Development of a biking index for measuring Mediterranean cities mobility. International Journal of Production Management and Engineering. 8(1):21-29. https://doi.org/10.4995/ijpme.2020.10834OJS212981Akerman, J., Banister, D., Dreborg, K., Nijkamp, P., Schleicher-Tappeser, R., Stead, D., Steen P. (2000). European Transport Policy and Sustainable Mobility. Ed. Routledge, Taylor & Francis Group. https://doi.org/10.4324/9780203857816Banister, D. (2008). The sustainable mobility paradigm . Transport Policy, 15(2), 73-80. https://doi.org/10.1016/j.tranpol.2007.10.005Botma, H. (1995). 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Cycling: The Way Ahead for Towns and Cities (European Commission, Brussels).European Commission (2013). Civitas Initiative, https://www.civitas-initiative.eu.Ewing, R., Schmid, T., Killingsworth, R., Zlot, A., & Raudenbush, S. (2003). Relationship between urban sprawl and physical activity obesity and morbidity. American Journal of Health Promotion, 181, 47-57. https://doi.org/10.4278/0890-1171-18.1.47Ewing, R., Handy, S., Brownson, R., Clemente, O., Winston, E. (2006). Identifying and measuring urban design qualities related to walkability. Journal of Physical Activity and Health, 3, 223-240. https://doi.org/10.1123/jpah.3.s1.s223Flowerdew, R., Manley, D., Sabel, C. E. (2008). Neighbourhood effects on health: does it matter where you draw the boundaries? Social Science and Medicine, 666, 1241-1255. https://doi.org/10.1016/j.socscimed.2007.11.042Forsyth, A., Oakes, J., Schmitz K., Hears, M. (2007). Does residential density increasing walking and other physical activity? Urban Studies, 44, 679-697. https://doi.org/10.1080/00420980601184729Frank, L., Sallis, J., Saelens, B., Leary, L., Cain, K., Conwa, T., Hess, P. (2009) The development of a walkability index: application to the neighborhood quality of life study. British Journal of Sports Medicine, 44, 924-933. https://doi.org/10.1136/bjsm.2009.058701GEOSP (2017). Barómetro de la bicicleta en España. Informe de resultados 2017.Goldman, T., Gorham, R. (2006). Sustainable urban transport: four innovative directions. Technology in Society, 28(1-2), 261-273. https://doi.org/10.1016/j.techsoc.2005.10.007Gutierrez, C., Gu, S., Karam, L., Thomas, T. (2017). Measuring and Evaluating Bikeability in San Francisco. In URBANST 164: Sustainable Cities, 3-29.Hartanto, K., Grigolon, A., Maarseveen, M., Brussel, M. (2017). Developing a bikeability index in the context of transit-oriented development (TOD). In: 15th International Conference on Computers in Urban Planning and Urban Management (CUPUM), Adelaide (Australia).Holden, E. (2007). Achieving sustainable mobility: everyday and leisure-time travel in the EU. Ed. Ashgate Publishing.Hydén, C., Nilsson, A., Risser, R. (1998). How to enhance walking and cycling instead of shorter car trips and to make these modes safer. In: Institutionen för Trafikteknuk, Lunds Tekniska Högskola, n° 165.Jensen, S.U. (2007). Pedestrian and bicyclist level on roadway segments. Transportation Research Record: Journal of the Transportation Research Board, 2031, 43-51. https://doi.org/10.3141/2031-06Pucher, J., Dijkstra, P. (2003) Promoting safe walking and cycling to improve public health: lessons from the Netherlands and Germany. American Journal of Public Health, 939, 1509-1516. https://doi.org/10.2105/AJPH.93.9.1509Krambeck, H.V. (2006). The Global Walkability Index. MIT.Krenn, P.J., Oja, P., Titze, S. (2015). 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Exploring the impact of osteoporosis on myogenesis
Title from PDF of title page, viewed on June 29, 2015Dissertation advisor: Marco BrottoVitaIncludes bibliographic references (pages 301-329)Thesis (Ph.D.)--School of Nursing and Health Studiies. University of Missouri--Kansas City, 2015Aging is accompanied by a significant decline in bone mass and strength
(osteoporosis) and in muscle mass and strength (sarcopenia). These conditions pose a
tremendous threat as each year, one in three older adults living in the community falls.
Muscle weakness is a primary risk factor for falls and the associated morbidity and mortality,
especially among older adults with osteoporosis. Nurses are aware of the risks and are often
in a position to effect a change. For this reason, nurses are positioned to be involved in and
to direct research aimed at better understanding these conditions and to make discoveries
with translational impact.
Until recently, bones and muscles were viewed to function in a mechanical
partnership. Emerging research, however, demonstrates a much more complex relationship,
resulting not only from mechanical forces, but also from an exchange of biochemical factors.
The purpose of this in vitro controlled trial was to explore this biochemical exchange, and
investigate the impact of bone factors on skeletal muscle cell differentiation (myogenesis) in
the presence of osteoporosis. A series of studies have been completed in mouse models, and
our concomitant goal was to expand these studies into humans. Serum used was collected
from research subjects in an ongoing case-control study designed to characterize defects in
bone quality that contribute to low trauma fractures in postmenopausal women. Using a
combination of biophysical, biochemical, and physiological approaches, the serum from
subjects with (CASE) and without (CNTRL) osteoporosis was applied to human skeletal
muscle cells. The extent of myogenesis in each group was assessed through immunostaining
for visualization and calculation of fusion index (i.e., the myogenesis index), flow cytometry
for cell cycle analysis, and intracellular calcium measurements for data related to cellular
function.
Findings from this study will contribute to the growing body of knowledge related to
the biochemical communication between bones and muscles, bone-muscle crosstalk. In
addition, this study illustrates an excellent opportunity for basic scientists and clinicians to
work together to decrease the devastating impact of sarcopenia and osteoporosis.Introduction -- Review of literature -- Theoretical framework and methodology -- Results -- Discussion -- Appendix A. IRB Authorization Agreement between UMKC and Creighton University
Osteoporosis Research Center -- Appendix B. List of Identified Factors: Exploring the biochemical communication between
bones, muscles, and other body tissues -- Appendix C. Human Skeletal Muscle Cells (HSMM) Protocols -- Appendix D. Protocol: Protocol, HSMM, Immunostaining for Fusion Index Calculations -- Appendix E. Protocol: HSMM, Calcium Imaging -- Appendix F. Protocol: HSMM, Flow Cytometry, MUSE™ Cell Cycle Assay -- Appendix G. Data Collected: HSMM, Immunostaining for Fusion Index Calculations -- Appendix H. Data Collected: HSMM, Calcium Imaging -- Appendix I. Data Collected: HSMM, Flow Cytometry for MUSE ™ Cell Cycle Assay -- Appendix J. Comprehensive Tables, Data Collecte
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