Browsing by Author "Santamarinha, Carlos Tadeu"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Characterization and comparison of women aged 60 and over years old on anthropometric and body composition parameters. A case study of EsposendePublication . Oliveira, Rafael; Brito, João; Santamarinha, Carlos TadeuAccording to data from the National Statistics Institute, PORDATA (2020), in Portugal there are 2262325 people aged 64 or over. In Esposende, there are 5974 and these numbers continue to increase over the next few years, associated with an increase in average life expectancy. In this sense, the present study aimed to characterize an older population through anthropometric variables and body composition. As a result of ethical issues, 74 women aged 60 or over participated in the study. They were divided into two groups according to age (Ouchi et al., 2017): G1, (young-old, <75 years) n=56; age 68.46±3.95 years; weight 74.27±12.12 kg; height 154.50±4.95 cm, and G2, (old, ≥75 years) n=17; age 78.65±4.47 years; weight 69.88±11.13; height 152.88±3.21. They were assessed in the following variables: body fat mass, soft lean mass, fat free mass, intracellular water, extracellular water, total body water, total body and segmental phase angle (PhA, 50Khz), through the InBody S10 equipment (Biospace Co, Ltd, Seul, Coreia, JMW140 model). T-student were applied to compare groups. The main results revealed significant differences between G1 vs G2 in the total body phase angle (5.39±0.56 vs 5.01±0.55; p = 0.019), by segment in the right arm (5.33±0.46 vs 4.98±0.62; p = 0.016), left arm (5.19±0.44 vs 4.89±0.58; p=0.028) and left leg (5.25±0.83 vs 4.80±0.69; p=0.050). As expected, the results showed lower values of phase angle in G2, which include older age. It was found that G1, at a younger age, had better cell membrane quality and integrity. Through the results, the exercise training programs offered by the municipality of Esposende reveal efficacy to improve anthropometric and body composition characteristics, as well as quality of life, as mentioned in our previous study (Oliveira et al., 2017).
- Comparações entre variáveis de bioimpedância e testes funcionais baseados no índice de massa corporal em idosasPublication . Santamarinha, Carlos Tadeu; Oliveira, Rafael; Leão, César; Silva, Ana Filipa; Clemente, Filipe Manuel; Brito, João
- Comparisons between bioelectrical impedance variables, functional tests and blood markers based on BMI in older women and their association with phase anglePublication . Oliveira, Rafael; Leão, César; Silva, Ana Filipa; Clemente, Filipe Manuel; Santamarinha, Carlos Tadeu; Nobari, Hadi; Brito, JoãoThe aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25–30 kg/m2); Group 3 (G3, BMI > 30–35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status.