Objective To compare body composition of postmenopausal women with and without dynapenia, defined by different cut-off points. Methods Body composition was assessed by electrical bioimpedance and the nutritional status by the body mass index. Dynapenia was diagnosed according to handgrip strength, using the following cut-off points: handgrip strength <16kgf and <20 kgf. Results A total of 171 women (50 to 92 years of age) participated in the investigation. The mean age of non-dynapenic and dynapenic women (handgrip strength <20kgf) was 69.4±8.2 and 74.5±8.2 years, respectively. The mean age of women with dynapenia (handgrip strength <16kgf) was 75.0±10.1 years and non-dynapenic women, 71.1±8.2 years. It was found that dynapenic women, with handgrip strength <20 and <16kgf, had an average of 2.38 and 2.47kg less muscle mass respectively, when compared to non-dynapenic women (p<0.05). However, there was no difference in muscle mass between the different dynapenic groups. Non-dynapenic women (handgrip strength ≥20kgf) had more total (3.55kg) and central fat (1.47kg) (p<0.05). Conclusion Dynapenic women, diagnosed considering both cutoff points, had less total and segmental muscle mass compared to non-dynapenic women. In addition, dynapenic women with handgrip strength <20kgf had lower total and trunk adiposity.
Anthropometry represents an alternative to the evaluation of nutritional status and screening of events related to muscle fitness. Therefore, this study aimed to compare anthropometric indicators of postmenopausal women with and without dynapenia and to identify the predictive capacity of these indicators to screen the respective outcome in this population. Methods: Cross-sectional epidemiological study, conducted with postmenopausal women.Dynapenia was diagnosed by handgrip strength < 20 kgf. Arm (AC), abdominal (AbC), hip (HC) and calf circumferences (CC), triceps, biceps, subscapular, supraspinatus and thigh skinfolds were analyzed. Body Mass Index, Conicity Index (CI), Body Adiposity Index (BAI), Waist to Hip and Waist to Height Ratio (WHtR), Corrected Arm Muscle Area (CAMA) and Arm Muscle Circumference (AMC) were calculated. Results: A total of 273 women participated in the study. The BAI, WHtR, and CI did not present significant differences between the groups. For the other indicators, the dynapenic group obtained significantly lower values compared to the non-dynapenic. AC was the indicator with the highest sensitivity to screen for postmenopausal dynapenia (79.8%). While CAMA and AMC were the indicators with the best specificity (86.2%). However, CC showed the best balance between sensitivity (67.5%) and specificity (63.0%). Conclusion:The indicators AC, CAMA, and/or the AMC can be used together, or CC alone, to predict postmenopausal women with dynapenia. Therefore, these indicators can be used as important epidemiological tools to improve women's health surveillance actions.
This study aimed to identify the prevalence and factors associated with dynapenia in older women, considering different cutoff points as diagnostic criteria. Methods: This epidemiological study was conducted with 205 older women (72.7 ± 7.1 years). Dynapenia was diagnosed using the handgrip strength test (HGS) using two cutoff points (< 16 or < 20 kgf). Socio-demographic, behavioral, and health status information was obtained from a specific form; nutritional status was assessed by body mass index, and the International Physical Activity Questionnaire identified the level of physical activity. Results: The prevalence of dynapenia was 14.1% (HGS < 16 kgf) and 46.3% (HGS < 20 kgf) (p < 0.001). It was also observed that older women with family income ≤ 1 minimum wage and those with low weight presented, respectively, 2.22 (95%CI: 1.12-4.39) and 4.72 (95%CI: 1.64-13.58) times higher probability of dynapenia identified by HGS < 16 kgf. Moreover, for the cutoff point < 20 kgf, the probability of dynapenia was higher in women aged ≥ 80 years (PR:1.91; 95%CI: 1.23-2.95), in insufficiently active women (PR: 1.34; 95%CI: 1.01-2.57), among those with low weight (PR: 1.61; 95%CI: 1.01-2.57), and in those who reported falls (PR:1.42; 95%CI: 1.04-1.96). Conclusion: Therefore, it is concluded that there is a difference between the prevalence and factors associated with dynapenia when different cutoff points are adopted.
Objective: To compare maximum respiratory pressures and spirometric parameters among elderly individuals classified as having no sarcopenia, probable sarcopenia, and confirmed sarcopenia, and to test the ability of these variables to discriminate sarcopenia in a community-dwelling elderly population. Methods: This was a cross-sectional study involving 221 elderly (= 60 years of age) individuals of both sexes. Sarcopenia was diagnosed in accordance with the new consensus of the European Working Group on Sarcopenia in Older People. Maximum respiratory pressures and spirometry parameters were assessed. Results: The prevalences of probable sarcopenia and confirmed sarcopenia were 20.4% and 4.1%, respectively. Regardless of the sex, those with confirmed sarcopenia had significantly lower MEP than those with no sarcopenia and probable sarcopenia, whereas only males with confirmed sarcopenia presented with significantly lower MIP than did the other individuals. There was an inverse association of MIP and MEP with sarcopenia, indicating that the decrease by 1 cmH2O in these parameters increases the chance of sarcopenia by 8% and 7%, respectively. Spirometric parameters were not associated with sarcopenia. Cutoff points for MIP and MEP, respectively, were = 46 cmH2O and = 50 cmH2O for elderly women, whereas they were = 63 cmH2O and = 92 cmH2O for elderly men, and both were identified as predictors of sarcopenia (area under the ROC curve > 0.70). Conclusions: Sarcopenia was associated with lower maximum respiratory pressures, but not with spirometric parameters. Maximum respiratory pressures can be used as markers of sarcopenia in a community-dwelling elderly population regardless of the sex.
Resumo O objetivo deste artigo é investigar a associação entre a Pressão Inspiratória Máxima (PImáx) e Pressão Expiratória Máxima (PEmáx) com a incidência da síndrome de fragilidade (SF), além de testar a capacidade preditiva da PImáx e PEmáx em discriminar a SF em idosos, de acordo com o sexo. Estudo longitudinal com cinco anos de seguimento (2014-2019), realizado com 104 idosos cadastrados na Estratégia Saúde da Família de um município da Bahia. A incidência da síndrome de fragilidade foi diagnosticada de acordo os critérios propostos por Fried et al., utilizando dados de 2019, após cinco anos de seguimento. A PImáx e PEmáx foram avaliadas conforme recomendações da Sociedade Brasileira de Pneumologia e Tisiologia em 2014 (linha de base). A incidência total da SF foi de 16,3% (IC95%: 9,2-23,6), sendo 13,6% (IC95%: 4,56-22,55) no sexo feminino e 20,0% (IC95%: 7,85-32,15) no sexo masculino. Os valores médios da PImáx e PEmáx foram, respectivamente, 60,8±21,2 cmH2O e 76,7±23,1 cmH2O no sexo feminino, e 79,5±27,0 cmH2Oe 114,7±29,8 cmH2O no sexo masculino. A SF esteve associada à PEmáx em idosos do sexo masculino (RR ajustado: 0,96; IC95%: 0,95-0,98; p-valor: 0,002), indicando que o aumento de 1 cmH2O da PEmáx reduz em 4% o risco de desenvolver a síndrome de fragilidade.
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