Indicators of success in the dietary management of overweight and obesity: weight, body fat loss and quality

Concepts: %WL: Percentage of weight loss; %FL: Percentage of fat loss. Objective: evaluate which unit of measurement for weight loss could determine the success or failure of dietary treatment for overweight and obesity. Method: 4,625 consultations carried out on 616 patients in the southeast of Spain from 2006 to 2012. All of the patients were over 25 years of age and suffered from overweight or obesity. The consultations were carried out every fortnight, using the Mediterranean or low-calorie diet. The patients were divided into four groups according to their %WL and %FL. Results: most of the sample consisted of: women; participants between 25-45 years of age; attended consultations for over a month and a half; obese. 80% of the patients obtained a %FL ≥ 5% (15.5 ± 12.8). The groups with a higher %FL obtained significant differences in weight loss (22.6 vs 11.2%, p = 0.000). The multinomial analysis shows significant differences between the groups with the highest %FL and the lowest %WL and %FL: sex (p = 0.006 vs p = 0.005), BMI (p = 0.010 vs p = 0.003) and attendance (p = 0.000 vs p = 0.000). Conclusion: the patients who lost < 5% of fat had higher initial parameters (percentage of weight and fat); most of the sample lost ≥ 5% of fat. This means that the method of personalised dietary treatment results in a high fat loss; fat is an indicator of the quality loss obtained. Recommendations: use the measurement of fat as a complementary unit of measurement to weight loss; establish a limit of 5% to evaluate such loss; and increase this type of research in any method of weight loss.

A formal framework for modelling complex network management systems

Society today is completely dependent on computer networks, the Internet and distributed systems, which place at our disposal the necessary services to perform our daily tasks. Subconsciously, we rely increasingly on network management systems. These systems allow us to, in general, maintain, manage, configure, scale, adapt, modify, edit, protect, and enhance the main distributed systems. Their role is secondary and is unknown and transparent to the users. They provide the necessary support to maintain the distributed systems whose services we use every day. If we do not consider network management systems during the development stage of distributed systems, then there could be serious consequences or even total failures in the development of the distributed system. It is necessary, therefore, to consider the management of the systems within the design of the distributed systems and to systematise their design to minimise the impact of network management in distributed systems projects. In this paper, we present a framework that allows the design of network management systems systematically. To accomplish this goal, formal modelling tools are used for modelling different views sequentially proposed of the same problem. These views cover all the aspects that are involved in the system; based on process definitions for identifying responsible and defining the involved agents to propose the deployment in a distributed architecture that is both feasible and appropriate.

Obesity, knee osteoarthritis, and polypathology: factors favoring weight loss in older people

Aim: We aimed to explore the meaning of obesity in elderly persons with knee osteoarthritis (KO) and to determine the factors that encourage or discourage weight loss. Background: Various studies have demonstrated that body mass index is related to KO and that weight loss improves symptoms and functional capacity. However, dietary habits are difficult to modify and most education programs are ineffective. Design: A phenomenological qualitative study was conducted. Intentional sampling was performed in ten older persons with KO who had lost weight and improved their health-related quality of life after participating in a health education program. A thematic content analysis was conducted following the stages proposed by Miles and Huberman. Findings: Participants understood obesity as a risk factor for health problems and stigma. They believed that the cause of obesity was multifactorial and criticized health professionals for labeling them as “obese” and for assigning a moral value to slimness and diet. The factors identified as contributing to the effectiveness of the program were a tolerant attitude among health professionals, group education that encouraged motivation, quantitative dietary recommendations, and a meaningful learning model based on social learning theories. Conclusion: Dietary self-management without prohibitions helped participants to make changes in the quantity and timing of some food intake and to lose weight without sacrificing some foods that were deeply rooted in their culture and preferences. Dietary education programs should focus on health-related quality of life and include scientific knowledge but should also consider affective factors and the problems perceived as priorities by patients.