Prevalencia del trastorno dismórfico muscular y alteraciones de la conducta alimentaria en estudiantes universitarios varones de Ciudad de Buenos Aires

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Psicología, Departamento de Psicología Biológica y de la Salud. Fecha de lectura: 14-12-201

Approximations to an integrated model of eating disorders and muscle dysmorphia among university male students in Argentina

Male body dissatisfaction has been associated with drive for muscularity and, in extreme cases, with the clinical condition referred to as muscle dysmorphia (MD). Although recent research suggests that MD is closely linked to eating disorders (EDs), it is classed as a subtype of body dysmorphic disorder. A cross-sectional study was conducted among 402 university male students in Buenos Aires to examine common factors in the development of EDs and MD. Multiple regression analyses were performed to assess the predictive value of the investigated variables. For both conditions, the models accounted for 48 percent of the variance and were predicted by a similar set of variables. The results support the inclusion of MD within the EDs spectrum

Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People

Official statistics data show that in many countries the population is aging. In addition, there are several illnesses and disabilities that also affect a small sector of the population. In recent years, researchers and medical foundations are working in order to develop systems based on new technologies and enhance the quality of life of them. One of the cheapest ways is to take advantage of the features provided by the smartphones. Nowadays, the development of reduced size smartphones, but with high processing capacity, has increased dramatically. We can take profit of the sensors placed in smartphones in order to monitor disabled and elderly people. In this paper, we propose a smart collaborative system based on the sensors embedded in mobile devices, which permit us to monitor the status of a person based on what is happening in the environment, but comparing and taking decisions based on what is happening to its neighbors. The proposed protocol for the mobile ad hoc network and the smart system algorithm are described in detail. We provide some measurements showing the decisions taken for several common cases and we also show the performance of our proposal when there is a medium size group of disabled or elderly people. Our proposal can also be applied to take care of children in several situations.This work has been partially supported by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.Sendra Compte, S.; Granell Romero, E.; Lloret, J.; Rodrigues, JJPC. (2014). Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People. Mobile Networks and Applications. 19(3):287-302. doi:10.1007/s11036-013-0445-zS287302193Cisco Systems Inc. “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010–2015.” White Paper, February 1, 2011Pereira O, Caldeira J, Rodrigues J (2011) Body sensor network mobile solutions for biofeedback monitoring. J Mob Netw Appl 16(6):713–732Google. Galaxy nexus (2012). Available: http://www.google.com/nexus/E. Commission. “Demography report 2010.” Eurostat, the Statistical Office of the European Union, 2010. At http://ec.europa.eu/social/BlobServlet?docId=6824&langId=enThomas KE, Stevens JA, Sarmiento K, Wald MM (2008) Fall-related traumatic brain injury deaths and hospitalizations among older adults—United States, 2005. J Saf Res 39(3):269–272Fortino G, Giannantonio R, Gravina R, Kuryloski P, Jafari R, (2013) Enabling effective programming and flexible management of efficient body sensor network applications. IEEE Trans Hum Mach Syst 43(1):115–133Bellifemine F, Fortino G, Giannantonio R, Gravina R, Guerrieri A, Sgroi M (2011) SPINE: a domain-specific framework for rapid prototyping of WBSN applications. Softw Pract Exper 41(3):237–265Macias E, Lloret J, Suarez A, Garcia M (2012) Architecture and protocol of a semantic system designed for video tagging with sensor data in mobile devices. Sensors 12(2):2062–2087Sendra S, Granell E, Lloret J, Rodrigues JJPC. Smart Collaborative System Using the Sensors of Mobile Devices for Monitoring Disabled and Elderly People, 3rd IEEE International Workshop on Smart Communications in Network Technologies, Ottawa, Canada, June 11, 2012Lane N, Miluzzo E, Lu H, Peebles D, Choudhury T, Campbell A (2010) A survey of mobile phone sensing. IEEE Commun Mag 48(9):140–150Muldoon C, OHare G, OGrady M (2006) Collaborative agent tuning: Performance enhancement on mobile devices Engineering Societies in the Agents World VI, Lecture Notes in Computer Science, Volume 3963/2006, pp 241–258Turner H, White J, Thompson C, Zienkiewicz K, Campbell S, Schmidt DC (2009) Building Mobile Sensor Networks Using Smartphones and Web Services: Ramifications and Development Challenges, Handbook of Research on Mobility and Computing, Hershey, PA. Available: http://lsrg.cs.wustl.edu/~schmidt/PDF/new-ww-mobile-computing.pdfKansal A, Goraczko M, Zhao F. Building a sensor network of mobile phones, 6th International Conference on Information Processing in Sensor Networks. Cambridge, Massachusetts, USA, April 24–27, 2007 pp 547–548Plaza I, Martín L, Martin S, Medrano C (2011) Mobile applications in an aging society: status and trends. J Syst Softw 84(11):1977–1988Camarinha-Matos L, Afsarmanesh H. Telecare: Collaborative virtual elderly support communities, 1st Workshop on Tele-Care and Collaborative Virtual Communities in Elderly Care, Porto, Portugal, 13 April, 2004Chen B, Pompili D (2011) Transmission of patient vital signs using wireless body area networks. J Mob Netw Appl 16(6):663–682Dai J, Bai X, Yang Z, Shen Z, Xuan D (2010) Mobile phone-based pervasive fall detection. Pers Ubiquit Comput 14(7):633–643Martin P, Sánchez MA, Álvarez L, Alonso V, Bajo J. Multiagent system for detecting elderly people falls through mobile devices, International Symposium on Ambient Intelligence (ISAmI’11), Salamanca (Spain) 6–8 April 2011Fahmi PN, Viet V, Deok-Jai C. “Semi-supervised fall detection algorithm using fall indicators in smartphone.” Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, 2012, pp 122Sánchez M, Martín P, Álvarez L, Alonso V, Zato C, Pedrero A, Bajo J (2011) A New Adaptive Algorithm for Detecting Falls through Mobile Devices, Trends in Practical Applications of Agents and Multiagent Systems, pp 17–24Fahim M, Fatima I, Lee S, Lee YK. Daily Life Activity Tracking Application for Smart Homes using Android Smartphone, 14th International Conference on Advanced Communication Technology, Yongin, South Korea, 19–22 February 2012, pp 241–245Kaluža B, Mirchevska V, Dovgan E, Luštrek M, Gams M (2010) An agent-based approach to care in independent living, Ambient Intelligence, Lecture Notes in Computer Science, vol. 6439, pp 177–186Costa A, Barbosa G, Melo T, Novais P (2011) Using mobile systems to monitor an ambulatory patient. In: International Symposium on Distributed Computing and Artificial Intelligence, Advances in Intelligent and Soft Computing, vol. 91, pp 337–344Olfati-Saber R, Fax J, Murray R (2007) Consensus and cooperation in networked multi-agent systems. Proc IEEE 95(1):215–233Arcelus A, Jones MH, Goubran R, Knoefel F (2007) Integration of smart home technologies in a health monitoring system for the elderly, 21st International Conference on Advanced Information Networking and Applications Workshops, vol. 2, pp 820–825Kahmen H, Faig W (1988) Surveying. Walter de Gruyter & Co, New YorkSol LM870 mobile phone features. Available at: http://es.made-in-china.com/co_runrise/product_Dual-SIM-Card-Dual-Standby-GPS-Temperature-UV-Sensor-Pedometer-Sunrise-LM870-Mobile-Phone_hesighyiy.htmlSTLM20 temperature sensor features. Datashhet available at: http://www.st.com/internet/com/TECHNICAL_RESOURCES/TECHNICAL_LITERATURE/DATASHEET/CD00119601.pdfSendra S, Lloret J, Garcia M, Toledo JF (2011) Power saving and energy optimization techniques for wireless sensor networks. J Commun 6(6):439–459Matlab Website. Available at: www.mathworks.com/products/matlabPal A (2010) Localization algorithms in wireless sensor networks: current approaches and future challenges. Netw Protocol Algorithm 2(1):45–74Garcia M, Boronat F, Tomás J, Lloret J (2009) The development of two systems for indoor wireless sensors self-location. Ad Hoc Sensor Wirel Netw 8(3–4):235–258Lloret J, Tomás J, Garcia M, Cánovas A (2009) A hybrid stochastic approach for self-location of wireless sensors in indoor environments. Sensors 9(5):3695–3712Garcia M, Sendra S, Turro C, Lloret J (2011) User’s macro and micro-mobility study using WLANs in a university campus. Int J Adv Internet Technol 4(1&2):37–46Lloret J, Tomas J, Canovas A, Bellver I. GeoWiFi: A Geopositioning System Based on WiFi Networks, The Seventh International Conference on Networking and Services (ICNS 2011), Venice (Italy), May 6–10, 2011Yu W, Su X, Hansen J (2012) A smartphone design approach to user communication interface for administering storage system network. Netw Protoc Algorithm 4(4):126–15

Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments

A reliable Indoor Positioning System (IPS) is a crucial part of the Ambient-Assisted Living (AAL) concept. The use of Wi-Fi fingerprinting techniques to determine the location of the user, based on the Received Signal Strength Indication (RSSI) mapping, avoids the need to deploy a dedicated positioning infrastructure but comes with its own issues. Heterogeneity of devices and RSSI variability in space and time due to environment changing conditions pose a challenge to positioning systems based on this technique. The primary purpose of this research is to examine the viability of leveraging other sensors in aiding the positioning system to provide more accurate predictions. In particular, the experiments presented in this work show that Inertial Motion Units (IMU), which are present by default in smart devices such as smartphones or smartwatches, can increase the performance of Indoor Positioning Systems in AAL environments. Furthermore, this paper assesses a set of techniques to predict the future performance of the positioning system based on the training data, as well as complementary strategies such as data scaling and the use of consecutive Wi-Fi scanning to further improve the reliability of the IPS predictions. This research shows that a robust positioning estimation can be derived from such strategies

Physical appearance perfectionism: psychometric properties and factor structure of an assessment instrument in a representative sample of males

Perfectionism is a multidimensional construct with both positive and negative aspects. Recently, the concept of appearance-oriented perfectionism has been introduced, which is associated with body image dissatisfaction and weight and shape control behaviors. The Physical Appearance Perfectionism Scale (PAPS) is a 12-item two-factor instrument developed to assess this new dimension of perfectionism. The aim of the study is to validate the Spanish version of PAPS among a representative sample of 850 male university students in Spain (M = 20 years old; SD = 2.7). Exploratory and confirmatory factorial structure, internal consistency, convergent and concurrent validity, and associated predictor variables analyses have been carried out. Results showed that the Spanish version of the PAPS maintains the original factor structure with all items and proves to be a reliable instrument. Physical appearance-oriented perfectionism is associated with general perfectionism, higher body dissatisfaction, Eating Disorders and Muscle Dysmorphia symptomatology, and compulsive exercise, particularly in the Worry about Imperfection subscale. These variables also act as predictors of physical appearance perfectionism. The use of the PAPS-S and the analysis of its subscales is recommended in the context of body image-related pathologies such as Eating Disorders and Muscle Dysmorphi

A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting

Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov model. Unlike other algorithms, the use of a hidden Markov model allows ours to take advantage of the temporal autocorrelation present in the Wi-Fi signal. The algorithm estimates the user’s location based on the hidden Markov model, which models the signal and the forward algorithm to determine the likelihood of a given time series of Received Signal Strength Indicators. The proposed method was compared with four other well-known Machine Learning algorithms through extensive experimentation with data collected in real scenarios. The proposed method obtained competitive results in most scenarios tested and was the best method in 17 of 60 experiments performed

Traumatic endophthalmitis caused by Nocardia kruczakiae in a patient with traumatic eye injury

Background: We describe a case of traumatic ocular endophthalmitis caused by Nocardia kruczakiae after vegetable trauma in an immunocompetent child. Findings: A 5-year-old boy suffered from a trauma with a palm tree leaflet. Two months later, he was diagnosed with traumatic infectious uveitis and intumescent cataract with anterior capsule rupture. Intensive treatment with systemic and topical vancomycin, ceftazidime and methylprednisolone began. After 1 month, he underwent phacoemulsification with intraocular lens implantation (IOL). After some episodes of reactivation, he was diagnosed with traumatic nocardial endophthalmitis from aqueous humour samples. Several operations and specific antibiotic therapy resolved the infection. Conclusions: In cases of traumatic endophthalmitis and several recurrences, it is extremely useful to make an etiologic diagnosis in order to treat the patient with specific antibiotics.This research was supported by grant MPY 1446/11-TE from the Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III.S

Eating disorder attitudes and disordered eating behaviors as measured by the Eating Disorder Examination Questionnaire (EDE-Q) among cisgender lesbian women

The Eating Disorder Examination Questionnaire (EDE-Q) is a measure of eating disorder attitudes and disordered eating behaviors. Prior descriptive studies of the EDE-Q for women either did not assess or omitted reporting sexual orientation. This study\u27s objective was to assess eating disorder attitudes and disordered eating behaviors as measured by the EDE-Q among cisgender lesbian women. We present mean scores and standard deviations for the EDE-Q among 563 self-identified cisgender lesbian women ages 18–77 who were recruited from The PRIDE Study in 2018. Among cisgender lesbian women, 3.4 % scored in the clinically significant range on the Restraint, 1.6 % on the Eating Concern, 9.1 % on the Weight Concern, 13.9 % on the Shape Concern, and 3.9 % on the Global Score scales of the EDE-Q. We found that 13.5 % of participants reported any occurrence (≥1/28 days) of dietary restriction, 8.7 % for objective binge episodes, 5.3 % for excessive exercise,.4% for self-induced vomiting, and.4% for laxative misuse. Participants reported a current (1.8 %) or lifetime (7.1 %) diagnosis of an eating disorder by a clinician. These EDE-Q descriptive data capture eating disorder attitudes and disordered eating behaviors among cisgender lesbian women and may aid clinicians and researchers in interpreting the EDE-Q in this specific population

Community norms for the eating disorder examination questionnaire (EDE-Q) among cisgender bisexual plus women and men

Purpose: Cisgender bisexual plus (including bisexual, pansexual, and polysexual) women and men experience unique health concerns including eating disorders. The purpose of this study was to develop community norms for eating disorder attitudes and disordered eating behaviors in cisgender bisexual plus women and men using the Eating Disorders Examination Questionnaire (EDE-Q). Methods: Participants were cisgender bisexual plus women (n = 462) and men (n = 93) participants in The PRIDE Study, an existing study of sexual and gender minority people. Results: Mean and standard deviation of EDE-Q scores among cisgender bisexual plus women and men, respectively, were: Global (1.75 ± 1.26, 1.56 ± 1.18), Restraint (1.34 ± 1.44, 1.42 ± 1.53), Eating Concern (0.96 ± 1.13, 0.63 ± 0.96), Weight Concern 2.27 ± 1.55, 1.89 ± 1.46), and Shape Concern 42 ± 1.62, 2.30 ± 1.57). Among cisgender bisexual plus women and men, respectively, 27.5% and 22.6% scored in the clinically significant range on the Global score. Bisexual plus women and men reported any occurrence (≥ 1/28 days) of dietary restraint (19.3%, 23.7%), objective binge episodes (11.1%, 10.8%), excessive exercise (4.5%, 5.4%), self-induced vomiting (1.7%, 0.0%), and laxative misuse (0.4%, 1.1%), respectively. A lower percentage of age-matched cisgender bisexual plus women (18–25 years) reported any occurrence of objective binge episodes, self-induced vomiting, laxative misuse, and excessive exercise than previously published in young women. Age-matched cisgender bisexual plus men (18–26 years) reported higher weight concern subscale scores than previously published in young men. Conclusions: These norms should aid clinicians in applying and interpreting the EDE-Q scores of cisgender bisexual plus women and men. Level of evidence: Level V: cross-sectional descriptive stud

Community norms for the Eating Disorder Examination Questionnaire (EDE-Q) among transgender men and women

Transgender men and women may be at risk for eating disorders, but prior community norms of the Eating Disorders Examination Questionnaire (EDE-Q) are based on presumed cisgender men and woman and have not intentionally included transgender people. The objective of this study was to develop community norms for eating disorder attitudes and disordered eating behaviors in transgender men and women using the EDE-Q. Participants were 312 transgender men and 172 transgender women participants in The PRIDE Study, an existing cohort study of sexual and gender minority people. We present mean scores, standard deviations, and percentile ranks for the Global score and four subscale scores of the EDE-Q in transgender men and women. Transgender men and women reported any occurrence (≥1/week) of dietary restraint (25.0% and 27.9%), objective binge episodes (11.2% and 12.8%), excessive exercise (8.0% and 8.1%), self-induced vomiting (1.6% and 1.7%), and laxative misuse (.3% and .6%), respectively. Compared to a prior study of presumed cisgender men 18–26 years (Lavender, De Young, & Anderson, 2010), our age-matched subsample of transgender men reported lower rates of objective binge episodes and excessive exercise. Compared to a prior study of presumed cisgender women 18–42 years (Mond, Hay, Rodgers, & Owen, 2006), we found that an age-matched sample of transgender women reported higher rates of dietary restraint but lower rates of excessive exercise. These norms should aid clinicians in applying and researchers in investigating and interpreting the EDE-Q scores of transgender men and women