2024
Autores
Sampaio, J; Pizarro, A; Pinto, J; Oliveira, B; Moreira, A; Padrao, P; de Pinho, PG; Moreira, P; Barros, R; Carvalho, J;
Publicação
NUTRIENTS
Abstract
Background: Diet and exercise interventions have been associated with improved body composition and physical fitness. However, evidence regarding their combined effects in older adults is scarce. This study aimed to investigate the impact of a combined 12-week Mediterranean diet-based sustainable healthy diet (SHD) and multicomponent training (MT) intervention on body composition, anthropometry, and physical fitness in older adults. Methods: Diet intervention groups received a weekly SHD food supply and four sessions, including a SHD culinary practical workshop. The exercise program included MT 50 min group session, three times a week, on non-consecutive days. Body composition and physical fitness variables were assessed through dual X-ray absorptiometry, anthropometric measurements, and senior fitness tests. Repeated measures ANOVA, with terms for group, time, and interaction, was performed. Results: Our results showed that a combined intervention significantly lowered BMI and total fat. Also, significant differences between assessments in all physical fitness tests, except for aerobic endurance, were observed. Adjusted models show significant differences in BMI (p = 0.049) and WHR (p = 0.037) between groups and in total fat (p = 0.030) for the interaction term. Body strength (p < 0.001), balance tests (p < 0.001), and aerobic endurance (p = 0.005) had significant differences amongst groups. Considering the interaction term, differences were observed for upper body strength (p = 0.046) and flexibility tests (p = 0.004 sit and reach, p = 0.048 back scratch). Conclusions: Our intervention study demonstrates the potential of implementing healthy lifestyle and sustainable models to promote healthy and active aging.
2024
Autores
Monteiro, M; Pereira, F; Gaspar, M; Jorge, I; Poínhos, R; Oliveira, BM; Rodrigues, S; Afonso, C;
Publicação
Acta Portuguesa de Nutrição
Abstract
2024
Autores
Kindlovits, R; Sousa, AC; Viana, JL; Milheiro, J; Oliveira, BMPM; Marques, F; Santos, A; Teixeira, VH;
Publicação
NUTRIENTS
Abstract
In the original publication [1], there was a minor error in Figure 1 and Table 6. Unfortunately, Figure 1 presented a smaller text size than appropriate, making it difficult for the reader, in addition to the abbreviation “FiO2” instead of “FiO2”. Then, in Table 6, the basal lactate values between the groups were corrected and the lactate peak values were included. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated. © 2024 by the authors.
2024
Autores
Jatowt, A; Katsurai, M; Pozi, MSM; Campos, R;
Publicação
INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES
Abstract
[No abstract available]
2024
Autores
Ströhle, T; Campos, R; Jatowt, A;
Publicação
Int. J. Data Sci. Anal.
Abstract
2024
Autores
Talens, C; Valente, JMS; Fernandez-Viagas, V;
Publicação
COMPUTERS & OPERATIONS RESEARCH
Abstract
Traditionally, scheduling literature has focused mainly on solving problems related to processing jobs with non- assembly operations. Despite the growing interest in the assembly literature in recent years, knowledge of the problem is still in its early stages in many aspects. In this regard, we are not aware of any previous contributions that address the assembly scheduling problem with just-in-time objectives. To fill this gap, this paper studies the 2-stage assembly scheduling problem minimising the sum of total earliness and total tardiness. We first analyse the relationship between the decision problem and the generation of the due dates of the jobs, and identify the equivalences with different related decision problems depending on the instances. The properties and conclusions obtained in the analysis are applied to design two constructive heuristics and a composite heuristic. To evaluate our proposals, different heuristics from the state-of-the-art of related scheduling problems are adapted, and a computational evaluation is carried out. The excellent behaviour of the proposed algorithms is demonstrated by an extensive computational evaluation.
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