Universal design and accessibility: an approach of the influence of muscle strength loss in the risk of falls in the elderly

This study was conducted with older adults living in a long-stay institution in the city of Foz do Iguacu, Parana, Brazil with the objective of assessing the influence of muscle strength loss in the risk of falls. The sample consisted of 65 elderly who walk without the aid of support for locomotion, 37 women and 28 men, aged between 67 and 80 years. The risk of falls was assessed through the TUG test. To determine the handgrip strength, a hand dynamometer model Jamar ( was used, which provides the result in kg / force (kgf), being held only with the dominant hand. The results showed that in the last 12 months, only 32% of the elderly surveyed had no fall and the average handgrip strength was 24.32 ( 11.22 kgf; 40% had one fall and the average handgrip strength was 23.82 ( 10.18 kgf; 8% had two falls and the average handgrip strength was 19.48 ( 8.21 kgf and 20% had more than one fall and the average handgrip strength of 18.13 ( 7.33 Kgf., indicating that the force levels are statistically lower among elderly at high risk of falls (p> 0.05). It was concluded that the lower the force level, the greater the likelihood of falls. Thus, it is important to stress that due to the loss of muscle strength, all ergonomic hazards and architectural barriers must be removed so that older adults can perform their tasks more easily, with comfort and safety.     

Higher-Order Moments Using the Survival Function: The Alternative Expectation Formula

Undergraduate and graduate students in a first-year probability (or a mathematical statistics) course learn the important concept of the moment of a random variable. The moments are related to various aspects of a probability distribution. In this context, the formula for the mean or the first moment of a nonnegative continuous random variable is often shown in terms of its c.d.f. (or the survival function). This has been called the alternative expectation formula. However, higher-order moments are also important, for example, to study the variance or the skewness of a distribution. In this note, we consider the rth moment of a nonnegative random variable and derive formulas in terms of the c.d.f. (or the survival function) paralleling the existing results for the first moment (the mean) using Fubini's theorem. Both nonnegative continuous and discrete integer-valued random variables are considered. These formulas may be advantageous, for example, when dealing with the moments of a transformed random variable, where it may be easier to derive its c.d.f. using the so-called c.d.f. method.     

Occupational stress and biomechanical risk in a high fashion clothing company

Psychosocial discomfort may amplify job-related risk factors. The aim of this study is to evaluate job stress in a high fashion clothing company with upper limb biomechanical overload due to repetitive and forceful manual activities. Biomechanical risk was analyzed and in part reduced using the OCRA Check list. A total of 518 workers (433 females and 85 males) were investigated to determine anxiety (by STAI 1 and 2), occupational stress (using the Italian version of the Karasek Job Content Questionnaire) and perception of symptoms. Final biomechanical assessment did not reveal high risk jobs, except for cutting. Although the perception of anxiety and job insecurity was within the normal range, all the workers showed a high level of job strain (correlated with the perception of symptoms) due, probably, to very low decision latitude. It was suggested that job strain may increase the perception of symptoms. Moreover, the result of this study indicates that musculoskeletal overload has to be further analyzed since its low level is not in agreement with the level of discomfort due to the repetitive tasks.     

Third-degree stochastic dominance and inequality measurement

We investigate the third-degree stochastic dominance order, which is receiving increasing attention in the field of inequality measurement. Observing that this partial order fails to satisfy the von Neumann–Morgenstern independence property in the space of random variables, we introduce the concepts of strong and local third-degree stochastic dominance, which do not suffer from this deficiency. We motivate these two new binary relations and characterize them in the spirit of the Lorenz characterization of the second-degree stochastic order, comparing our findings with the closest results in inequality literature. A preliminary version of this paper was presented at the second Canazei Winter School on Inequality and Collective Welfare Theory (IT2). We would like to thank all participants for their comments and suggestions. We are especially grateful to Rolf Aaberge, Peter Lambert, Maria G. Monti, Ernesto Savaglio, John Weymark, Claudio Zoli and two anonymous referees who provided very detailed and insightful comments.     

On the (sequential) majority choice of public good size and location

This article studies majority voting over the size and location of a public good when voters differ both in income and in their preferences for the public good location. Public good provision is financed either by a lump sum tax or by a proportional income tax. We analyze both the simultaneous and the sequential determinations of the public good’s size and location. We show that, while the choice of the type of public good follows the traditional median logic, the majoritarian determination of the taxation rate need not coincide with the preferences of a median income citizen. With lump sum financing, income heterogeneity plays no role and the sequential equilibrium consists of the median location together with the public good level most-preferred by the individual located at the median distance from the median. This policy bundle also constitutes an equilibrium with simultaneous voting in the special case of a uniform bivariate distribution of individuals’ income and location. With proportional taxation, there is no policy equilibrium with simultaneous voting. We offer a complete characterization of the equations describing the sequential equilibrium in the general case and we show why and how our results depart from those most-preferred by the median income individual located at the median distance from the median. We also compare these majority voting allocations with the socially optimal one.     

The ergonomic and legal aspects of the heritage of the state of Pernambuco--Brazil

This paper aims to demonstrate the situation of the buildings declared a historical landmark by the government spheres in the state of Pernambuco, and how they attend the norms of accessibility for those with special needs. The methodology of the research contemplated a sample of 46 heritage buildings, approximately 16% of the universe of properties, which are around 268. In turn, these were limited to Recife's Metropolitan Region Area - RMR comprising 30% of the 153 properties of the municipalities of: Cabo de Santo Agostinho, Igarassu, Itamaracá, Ipojuca, Jaboat?o dos Guararapes, Moreno, Olinda, Paulista, Recife and S?o Louren?o da Mata. From the specific forms set up based on the theoretical reference, as well as graphics and photographic records were assessed the aspects of both internal and external accessibility, displacement, (visual) orientation, and the use of space and equipment. In the analysis of different types was assembled a summary table ranking the samples in accessible, partially accessible and not accessible. As general results were found that from the 46 properties examined, 2 (5%) are accessible, 16 (35%) are partially accessible and 28(60%) are not accessible. Such data, although sample, shows that the majority of heritage properties does not provide access to people physically disabled or with reduced mobility signaling for professionals, managers and society institutions on the need to reduce physical barriers in such heritage.     

Cognitive ergonomics: the use of mind mapping tool in maintaining productive sector of a Brazilian paper company

The use of mind maps as a method of building knowledge, planning, organizing activities and ideas can be seen in the literature related to ergonomics. The results of such use are relevant and its use in academic area found. However, regarding to its use in industrial environments, studies can't not be found. With this scenario, and based on the perception of the ergonomist about the importance of using methods such as mind maps in support of human cognition, it seems pertinent to its use in industry sectors whose cognitive demand requires. Given these assumptions, this study aimed to apply the method of Mind Maps in Productive Maintenance sector of a Brazilian paper. The Productive Maintenance sector in the Paper Industry has an important contribution to operational performance. With practical Predictive Maintenance, Preventive Maintenance and Corrective Maintenance, the industry advocates to make the machines to produce paper is not to stop producing when they are programmed to do so. Among the practices cited, the Preventive Maintenance is one that leads to pre-determined intervals in order to reduce the possibility of placing the equipment in a condition below the required level of acceptance. Therefore, this article aims to propose using the tool "mental maps" in order to collaborate in planning and implementation of preventive maintenance activities in the sector of mechanical maintenance of a pulp and paper industry in southern Brazil. The study investigated the maintenance sector through its employees, who went through training about the tool and then use it and ergonomists company.     

Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences†

Cluster analysis is often used for market segmentation. When the inputs in the clustering algorithm are ranking data, the intersubject (dis)similarities must be measured by matching-type measures, able to take account of the ordinal nature of the data. Among them, we used a Weighted Spearman's rho, suitably transformed into a (dis)similarity measure, in order to emphasize the concordance on the top ranks. This allows creating clusters grouping customers that place the same items (products, services, etc.) higher in their rankings. Also the statistical instruments used to interpret the clusters must be conceived to deal with ordinal data. The median and other location measures are appropriate but not always able to clearly differentiate groups. The so-called bipolar mean, with its related variability measure, may reveal some additional features. A case study on real data from a survey carried out in the Italian McDonald's restaurants is presented.     

Ranking opportunity sets in the space of functionings

We develop a ranking of compact, convex and comprehensive opportunity sets defined in the evaluative space of individual functionings. We suppose the existence of a target, that is a multi-dimensional bliss point in terms of functionings. This leads us to define concepts such as essentiality and freedomin a novel way. As a main result, we give an axiomatic characterization of the ranking obtained by minimizing the Euclidean distance between each opportunity set and the target.