- -

Ubiquitous monitoring and assessment of childhood obesity

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Ubiquitous monitoring and assessment of childhood obesity

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author ZARAGOZÁ ÁLVAREZ, IRENE es_ES
dc.contributor.author Guixeres Provinciale, Jaime es_ES
dc.contributor.author Alcañiz Raya, Mariano Luis es_ES
dc.contributor.author CEBOLLA, AUSIAS es_ES
dc.contributor.author Saiz Rodríguez, Francisco Javier es_ES
dc.contributor.author Álvarez, Julio es_ES
dc.date.accessioned 2020-09-18T03:35:57Z
dc.date.available 2020-09-18T03:35:57Z
dc.date.issued 2013-08 es_ES
dc.identifier.issn 1617-4909 es_ES
dc.identifier.uri http://hdl.handle.net/10251/150348
dc.description.abstract [EN] Childhood obesity is a significant health problem in current societies that is increasing at an alarming way among population of all ages. To date, studies on the effectiveness of treatments for childhood obesity in the medium and long term suggest a moderate effect on weight loss and maintenance, which has led to suggestions that early interventions have a preventive nature on adult obesity. The long-term recovery of the weight lost is often associated with a lack of adherence to recommendations for changing life habits. Then, obesity becomes a chronic problem, difficult to approach, and the main difficulty lies in promoting and ensuring adherence to a change in lifestyle. A system known as ETIOBE has been developed to improve the treatment adherence, to promote the mechanisms of self-control in patients and to prevent relapses. An important part of the ETIOBE system is the ubiquitous monitoring platform since it enables the clinician to obtain relevant information from patients (contextual, physiological and psychological), which enables treatment customization and adaptation, depending on the patient's evolution. The aim of this paper is to describe the monitoring platform which is intended to establish a sensor network whose focus is the obese children under clinical treatment, and the various elements that compose it: electronic PDA records to establish diet habits, HAS: home ambulatory system (data integration of biomedical devices; blood pressure to study hypertension; pulse oximeter to detect Sleep Disorders; and electronic t-shirt to detect physical activity). This paper presents the first validations of the electronic PDA records and the electronic t-shirt. These validations suggest that the monitoring platform can help to achieve the goals previously mentioned, by offering constant support and increasing motivation to change. es_ES
dc.description.sponsorship This study was funded by Ministerio de Educacion y Ciencia Spain, Project Game Teen (TIN2010-20187) and partially by projects Consolider-C (SEJ2006-14301/PSIC), "CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII'' and Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion, 2008-157). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Personal and Ubiquitous Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Children obesity es_ES
dc.subject E-therapy es_ES
dc.subject Physical activity detection es_ES
dc.subject Wireless monitoring es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Ubiquitous monitoring and assessment of childhood obesity es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00779-012-0562-x es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//SEJ2006-14301/ES/NUEVAS TECNOLOGIAS DE LA INFORMACION Y LA COMUNICACION: INTEGRACION Y CONSOLIDACION DE SU USO EN CIENCIAS SOCIALES PARA MEJORAR LA SALUD, LA CALIDAD DE VIDA Y EL BIENESTAR./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F157/ES/Promoción del bienestar a través de las tecnologías de la información y comunicación (probientic)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-20187/ES/ENTORNOS INMERSIVOS Y PERSUASIVOS PARA LA EVALUACION Y ENTRENAMIENTO DE ESTRATEGIAS DE REGULACION EMOCIONAL. APLICACION A LA EDUCACION PSICOSOCIAL EN ADOLESCENTES/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Zaragozá Álvarez, I.; Guixeres Provinciale, J.; Alcañiz Raya, ML.; Cebolla, A.; Saiz Rodríguez, FJ.; Álvarez, J. (2013). Ubiquitous monitoring and assessment of childhood obesity. Personal and Ubiquitous Computing. 17(6):1147-1157. https://doi.org/10.1007/s00779-012-0562-x es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s00779-012-0562-x es_ES
dc.description.upvformatpinicio 1147 es_ES
dc.description.upvformatpfin 1157 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 6 es_ES
dc.relation.pasarela S\236968 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
dc.description.references Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM (2004) Overweight and obesity among US children, adolescents and adults, 1999–2002. JAMA 291:2847–2850 es_ES
dc.description.references Srinvasan SR, Bao W, Wattigney WA, Berenson GS (1995) Adolescent overweight is associated with adult overweight and related multiple cardiovascular risk factors: the Bogalusa heart study. Metab Clin Exp 107:782–787 es_ES
dc.description.references World Health Organization (1998) Obesity: preventing and managing the global epidemic. WHO, Geneva es_ES
dc.description.references World Health Organization (2003) Global strategy on diet; physical activity and health. WHO, Geneva es_ES
dc.description.references Franco C, Bengtsson B, Johannsson G (2006) The GH/IGF-1 axis in obesity: physiological and pathological aspects. Metab Syndr Relat Disord 4:51–56 es_ES
dc.description.references Aranceta J, Pérez C, Foz M, Mantilla T, Serra L, Moreno B et al (2004) Tablas de evaluación del riesgo coronario adaptadas a la población española. Estudio DORICA. Med Clínic 123:686–691 es_ES
dc.description.references Salas-Salvadó J, Rubio MA, Barbany M, Moreno B (2007) Consenso SEEDO 2007 para la evaluación del sobrepeso y la obesidad y el establecimiento de criterios de intervención terapéutico. Med Clínic 128(5):184–196 es_ES
dc.description.references Wadden TA, Berkowitz RI, Womble LG, Sarwer DB, Phelan S, Cato RK et al (2005) Randomized trial of lifestyle modification and pharmacotherapy for obesity. N Engl J Med 353:2111–20 es_ES
dc.description.references Perri MG, Nezu AM, McKelvey WF, Shermer RL, Renjilian DA, Viegener BJ (2001) Relapse prevention training and problem-solving therapy in the longterm management of obesity. J Consult Clin Psychol 69:722–6 es_ES
dc.description.references Wadden TA, Butryn ML, Byrne KJ (2004) Efficacy of lifestyle modification for long-term weight control. Obes Res 12(l):151–62 es_ES
dc.description.references Wadden TA, Brownell KD, Foster GD (2002) Obesity: managing the global epidemic. J Consult Clin Psychol 70:510–525 es_ES
dc.description.references US Department of Health and Human Services: Office of Disease Prevention and Health Promotion (2000) Healthy People 2010. Nasnewsletter 15(3):3 es_ES
dc.description.references Twisk JW, Kemper HC, van Mechelen W (2002) Prediction of cardiovascular disease risk factors later in life by physical activity and physical fitness in youth: general comments and conclusions. Int J Sports Med 23(1):S44–S49 es_ES
dc.description.references Kohl HW, Fulton JE, Caspersen C (2000) Assessment of physical activity among children and adolescents: a review and synthesis. Prev Med 31:s54–s76 es_ES
dc.description.references Alcañiz M, Rey B (2005) New technologies for ambient intelligence. In: Riva G, Vatalaro F, Davide F, Alcañiz M (eds), Ambient intelligence. IOS Press, Amsterdam, pp 3–15 es_ES
dc.description.references Bravo J, Alamán X, Riesgo T (2006) Ubiquitous computing and ambient intelligence: new challenges for computing. J Univ Comput Sci 12(3):233–235 es_ES
dc.description.references José R, Rodrigues H, Otero N (2010) Ambient intelligence: beyond the inspiring vision. J Univ Comput Sci 16(2):1480–1499 es_ES
dc.description.references Alexandros P, Nikolaos GB (2010) A survey on wearable sensorbased systems for health monitoring and prognosis. IEEE Trans Syst Man Cybern Part C 40:1–12 es_ES
dc.description.references Varshney U (2007) Pervasive healthcare and wireless health monitoring. Mobile Netw Appl 12:113–127 es_ES
dc.description.references Toscos T, Faber A, Connelly K, Upoma AM (2008) Encouraging physical activity in teens: can technology help reduce barriers to physical activity in adolescent girls? Proceedings of Pervasive Computing Technologies for Healthcare (PervasiveHealth’08), pp 218–221 es_ES
dc.description.references Fujiki Y, Kazakos K, Puri C, Buddharaju P, Pavlidis I, Levine J (2008) NEAT-o-Games: blending physical activity and fun in the daily routine. Comput Entertain (CIE) 6(2):21:1–21:22 es_ES
dc.description.references Klasnja Predrag, Consolvo Sunny, McDonald David W, Landay James A, Pratt Wanda (2009) Using mobile and personal sensing technologies to support health behavior change in everyday life: lessons learned. Annual Conference of the American Medical Informatics Association es_ES
dc.description.references Nike Plus Avalaible: http://nikerunning.nike.com/nikeos/p/nikeplus/es_ES/plus/?1332913990277/#//dashboard/ es_ES
dc.description.references FitBit. Avalaible: http://www.fitbit.com/ es_ES
dc.description.references Jawbone. Avalaible: http://www.jawbone.com/up es_ES
dc.description.references Zaragozá I, Guixeres J, Alcañiz M (2009) Ontologies for intelligent e-therapy: application to obesity. Lect Notes Comput Sci: Distrib Comput Artif Intell Bioinform Soft Comput Ambient Assist Living 5518: 894–901 es_ES
dc.description.references Piasecki TM, MSolhan MR~Hufford, Trull TJ (2007) Assessing clients in their natural environments with electronic diaries: rationale, benefits, limitations, and barriers. Psychol Assess 19:25–43 es_ES
dc.description.references Net Compact Framework 3.5 Redistributable. Available: http://www.microsoft.com/downloads/en/details.aspx?displaylang=en&FamilyID=e3821449-3c6b-42f1-9fd9-0041345b3385 . Last access 05-05-2009 es_ES
dc.description.references Baños R, Cebolla A, Zaragoza I, Botella C, Alcañiz M Electronic PDA dietary and physical activity registers in weight loss treatment program for children: a descriprion of the ETIOBE personal Digital Assistant System. J Cyberther Rehabil 2(3):235–241 es_ES
dc.description.references Stergiou GS, Yiannes NG, Rarra VC (2006) Validation of the Omron 705 IT oscillometric device for home blood pressure measurement in children and adolescents: the Arsakion School Study. Blood Press Monit 11:229–234 es_ES
dc.description.references Nigro CA, Aimaretti S, Gonzalez S, Rhodius E (2009) Validation of the WristOx 3100 oximeter for the diagnosis of sleep apnea/hypopnea syndrome. Sleep Breath 13(2):127–136 es_ES
dc.description.references Lymberis A, De Rossi D (eds) (2004) Wearable eHealth systems for personalised health management-state of the art and future challenges, vol 108. Studies in Health Technology and Informatics. IOS Press, Amsterdam es_ES
dc.description.references De Rossi D, Lymberis A (2005) Guest editorial New Generation of Smart Wearable health Systems and Application. IEEE Trans Inf Technol Biomed 9(3):293–294 es_ES
dc.description.references NUUBO. Availabe: http://www.nuubo.com es_ES
dc.description.references Payne PR, Wheleer EF, Salvosa CB (1971) Prediction of daily energy expenditure from average pulse rate. Am J Clinic Nutr 24(9):1164–1170 es_ES
dc.description.references Mathie MJ, Celler BG, Lovell NH, Coster AC (2004) Classification of basic daily movements using a triaxial accelerometer. Med Biol Eng Comput 42:670–687 es_ES
dc.description.references Freedson P, Pober D, Janz KF (2005) Calibration of accelerometer output for children. Med Sci Sports Exerc 37(11):S523–S530 es_ES
dc.description.references Pate RR, Almeida MJ, McIver Kl, Pfeiffer KA, Dowda M (2006) Validation and calibration of an accelerometer in preschool children. Obesity 14(11):2000–2006 es_ES
dc.description.references Esliger DW, Trembaly MS (2006) Technical reliability assesment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc 38(12):2173–2181 es_ES
dc.description.references Nilsson A (2008) Physical activity assessed bt accelerometry in children. Örebo University, Örebo es_ES
dc.description.references Trost SG, Way R, Oakley AD (2006) Predictive validity of three actigraph energy expenditure equations for children. Med Sci Sports Exerc 38(2):380–387 es_ES
dc.description.references Crouter SE (2006) A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol 100(4):1324–1331 es_ES
dc.description.references Treuth MS (2004) Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 36(7):1259–1266 es_ES
dc.description.references Fitmate PRO. Cosmed Technologies. Availabe : http://www.cosmed.it es_ES
dc.description.references Puyau MR, Adolph AL, Vohra FA, Zakeri I, Butte NF (2004) Prediction of activity energy expenditure using accelerometer in children. Med Sci Sports Exerc 36(9):1625–31 es_ES
dc.description.references Reilly JJ, Kelly LA, Montgomery C, Jackson DM, SlaterC Grant S, Paton JY (2006) Validation of actigraph accelerometer estimates of total energy expenditure in young children. Int J Pediatr Obes 1(3):161–167 es_ES
dc.description.references Norman J (January 2006) Accelerometry as an estimation of energy expenditure in healthy children and children with cerebral palsy during self-paced ambulation. Int J Alli Health Sci Practice 4(1):1–5 es_ES
dc.description.references Corder K, Brage S, Mattoks C, Ness A, Riddoch C, Wareham NJ, Ekelund U (2007) Comparison of two methods to assess PAEE during six activities in children. Med Sci Sports Exerc 39(12):2180–2188 es_ES
dc.description.references Corder K, Brage S, Wareham NJ, Ekelund U (2005) Comparison of PAEE from Combined and Separate Heart Rate and Movement Models in Children. Med Sci Sports Exerc 37(10):1761–1767 es_ES
dc.description.references Brage S, Wedderkopp N, Franks PW, Andersen LB, Froberg K (2003) Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc 35(8):1447–54 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem