doctoralThesis
Relação entre composição corporal, baixa massa muscular e desempenho físico em mulheres de meia-idade e idosos: um estudo transversal
Fecha
2019-09-26Registro en:
NASCIMENTO, Rafaela Andrade do. Relação entre composição corporal, baixa massa muscular e desempenho físico em mulheres de meia-idade e idosos: um estudo transversal. 2019. 147f. Tese (Doutorado em Fisioterapia) - Centro de Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, 2019.
Autor
Nascimento, Rafaela Andrade do
Resumen
Background: Among the clinically significant changes that occur during female
aging, it is highlighted those that alter body composition and leads to decrease in
muscle mass and bone density, as well as increase in fat mass, with changes in
body fat distribution pattern. These changes cause significant impacts on the
musculoskeletal system, with reduction of the muscle strength, impairments on
physical performance, functional capacity and health of women from middle
age. Objective: To analyze the relationship between body composition, low
muscle mass and physical functional performance in middle-aged and elderly
women living in the community. Methods: This is an observational, analytical and
cross-sectional study with an epidemiological nature. The population consisted
of women aged 40 to 80 years, residing in Parnamirim and Santa Cruz, state of
Rio Grande do Norte, Brazil. The source sample of the study was composed of
708 women. Then, for eavh study performed, a target sample was used, with 593
women in first artivle and 368 women in the second. The data collection consist
of biochemical dosage, body composition and physical performance evaluations.
In addition, sociodemographic and socioeconomic data and regular practice of
physical activity were also collected. For statistical analysis, measures of central
tendency and dispersion, Student's t-test, ROC curve, chi-square, logistic
regression, Pearson correlation and canonical correlation were used. The
dependent variables of the study were low muscle mass, handgrip strength,
walking speed, sitting and standing test and total Short Physical Performance
Battery (SPPB) score. The group of independent variables were composed by
adiposity anthropometric indices: BMI (body mass index), WC (waist
circumference), WHR (waist-hip ratio), RCA (waist-height ratio), CI (taper index), BAI (body adiposity index), VAI (visceral adiposity index) and LAP (lipid
accumulation product). Results: The results of this thesis created two scientic
articles. Regarding the results of the first article, it was observed that the adiposity
anthropometric indices cut-off points were able to identify the presence of low
muscle (p <0.05), except for VAI only. After regression analysis, the CC, WHR,
RCA and BAI indices were associated with a higher risk of low muscle mass (6.2;
1.8; 5.0 and 14.5 respectively). Regarding the second article, the first three
canonical functions were statistically significant. These accounted for 97.54% of
the shared variance between the two sets of variables. However, the first function
presented the best estimate of the shared variance. Moreover, it presented the
highest canonical correlation and the highest redundancy index (percentage
cumulative variance = 82.52, Wilks Lambda = 0.66, canonical correlation = 0.532,
p value <0.001). From the analysis of the first canonical function, an inverse
correlation was observed between the CI (-0.59) and handgrip strength (0.84)
and SPPB (0.68), besides direct correlation with walking speed (-
0.43). Conclusions: Changes in body composition during women aging are
related to decreasing of muscle mass and physical performance in middle-aged
and elderly women. The cut-off points of the adiposity anthropometric indices
created are effective in identifying low muscle mass. This shows that the
increasing of these indices would increase the chance of present low muscle
mass. Moreover, it was observed that physical performance is influenced by
changes in body composition that occur with the rise in age. The results
presented important clinical relevance. A better understanding of this theme is
fundamental to provide scientific support for the planning of public health policies.