The System Usability Scale (SUS) is a widely used self-administered instrument for the evaluation of usability of a wide range of products and user interfaces. The principal value of the SUS is that it provides a single reference score for participants’ view of the usability of a product or service. This paper presents the translation, cultural adaptation and a contribution to the validation of the European Portuguese version of SUS. The conducted work comprised two phases, the scale translation, and the scale validation. The first phase resulted in a European Portuguese version equivalent to the original in terms of semantic and content. The second phase involved the assessment of the validity and reliability of the scale. The instrument has construct validity as it presents a high and significant correlation with other two usability metrics, the Post-Study System Usability Questionnaire (PSSUQ) (r = 0.70) and a general usability question (r = 0.48). The reliability results show less than satisfactory ICC values (ICC = 0.36), however the percentage of agreement is satisfactory (76.67%). Further studies are needed to investigate the reliability of the Portuguese version

Objectives: The study reported in this article aimed to identify: (i) the most relevant applications supported by smart city infrastructure with an impact on the provision of healthcare; (ii) the types of technologies being used; (iii) the maturity levels of the applications being reported; and (iv) major barriers for their dissemination. Methods: A systematic review was performed based on a literature search. Results: A total of 44 articles were retrieved. These studies reported on smart city applications to support population surveillance, active ageing, healthy lifestyles, disabled people, response to emergencies, care services organization, and socialization. Conclusions: Most of the included articles were either of a descriptive and conceptual nature or in an early stage of development, which means that a major barrier for their dissemination is their lack of concreteness.

OBJETIVO Validar a versão em português do World Health Organization Disability Assessment Schedule (WHODAS 2.0). MÉTODOS A versão original de 36 itens do WHODAS 2.0, administrada por entrevista, foi traduzida para o português de acordo com orientações internacionais e testada em nove participantes da população em geral. A versão em português foi administrada em 204 pacientes com patologia musculoesquelética. Foram coletados os dados sociodemográficos e de saúde dos pacientes, assim como o número de locais onde apresentavam dor e sua intensidade. O WHODAS 2.0 foi novamente administrado por um segundo entrevistador, um a três dias após a primeira entrevista, para avaliar a confiabilidade interavaliadores. A validade de constructo foi avaliada quanto a: capacidade do WHODAS 2.0 para diferenciar participantes com diferentes locais com dor e associação entre o WHODAS 2.0 e a intensidade da dor. A consistência interna também foi avaliada. RESULTADOS A versão portuguesa do WHODAS 2.0 teve fácil compreensão, apresentou boa consistência interna (α = 0,84) e confiabilidade interavaliadores (CCI = 0,95). Mostrou ser capaz de detectar diferenças estatisticamente significativas entre indivíduos com diferente número de locais com dor (p < 0,01) e indicar que maior incapacidade está associada à maior intensidade da dor (r = 0,44, p < 0,01), indicando validade de constructo. CONCLUSÕES A versão portuguesa do WHODAS 2.0 mostrou-se confiável e válida quando utilizada em pacientes com dor associada à patologia musculoesquelética.

Since none of the existing systematic reviews of the literature related to smart cities have focused on smart cities applications using context-aware features, this study aims to provide a comprehensive view of (1) the characteristics of context-aware applications supported by smart cities’ infrastructures, (2) the characteristics of the context-aware technologies being used, and (3) the maturity level of the identified applications. An electronic search was conducted on Scopus, Web of Science, and IEEE Xplore databases, combining relevant keywords. After the studies’ selection, 27 studies were included. The results show the interest in using context-aware features to develop smart cities’ applications targeting public health, tourism experience, urban mobility, active citizenship, shopping experience, management of urban infrastructures, public alerts, recommenders, and smart environments. Moreover, the applications reported by the included studies do not allow the execution of actions without the explicit consent of the users, and they integrate personal sensors, sensors deployed in the city and crowdsourcing mechanisms to acquire primary context attributes (i.e., location, activity, and environment) and secondary context attributes (i.e., speed, physical activity, points of interest, stress, and tourists’ emotions). In addition, the included studies present scarce details about context reasoning, data privacy, integrity, and confidentiality, data aggregation and accuracy, and data interoperability. Finally, the results also indicate low maturity level of the developed applications, which is evidenced by the lack of user-centred evaluations, as well as by the difficulty in integrating important technologies being developed for smart cities.

Studies exploring the association between physical activity, screen time and sleep and pain usually focus on a limited number of painful body sites. Nevertheless, pain at different body sites is likely to be of different nature. Therefore, this study aims to explore and compare the association between time spent in self-reported physical activity, in screen based activities and sleeping and i) pain presence in the last 7-days for 9 different body sites; ii) pain intensity at 9 different body sites and iii) global disability. Nine hundred sixty nine students completed a questionnaire on pain, time spent in moderate and vigorous physical activity, screen based time watching TV/DVD, playing, using mobile phones and computers and sleeping hours. Univariate and multivariate associations between pain presence, pain intensity and disability and physical activity, screen based time and sleeping hours were investigated. Pain presence: sleeping remained in the multivariable model for the neck, mid back, wrists, knees and ankles/feet (OR 1.17 to 2.11); moderate physical activity remained in the multivariate model for the neck, shoulders, wrists, hips and ankles/feet (OR 1.06 to 1.08); vigorous physical activity remained in the multivariate model for mid back, knees and ankles/feet (OR 1.05 to 1.09) and screen time remained in the multivariate model for the low back (OR = 2.34. Pain intensity: screen time and moderate physical activity remained in the multivariable model for pain intensity at the neck, mid back, low back, shoulder, knees and ankles/feet (Rp2 0.02 to 0.04) and at the wrists (Rp2 = 0.04), respectively. Disability showed no association with sleeping, screen time or physical activity. This study suggests both similarities and differences in the patterns of association between time spent in physical activity, sleeping and in screen based activities and pain presence at 8 different body sites. In addition, they also suggest that the factors associated with the presence of pain, pain intensity and pain associated disability are different.