Resumo Introdução Durante o envelhecimento ocorrem modificações no corpo humano, as quais aumentam a probabilidade de hipertensão arterial sistêmica (HAS),o que pode potencializar efeitos deletérios no desem-penho funcional. Objetivo Analisar a associação de indicadores de desempenho funcional com a HAS em pessoas idosas. Métodos Inquérito epidemiológico, populacional, transversal, conduzido com 209 idosos (58,40% mulheres). O desempenho funcional foi averi-guado pelos seguintes testes: força de preensão manual; levantar e sentar da cadeira; flexão do antebraço; levantar, caminhar e sentar (LCS); sentar e alcançar o pé; e marcha estacionária (ME). O diagnóstico da HAS foi autorreferido. Resultados Averiguou-se a prevalência de HAS em 58,9% dos participantes (homens: 51,7%; mulheres: 63,9%). Observou-se, também, que os hipertensos de ambos os sexos apresentaram pior desempenho na ME e LCS (p < 0,05). Além disso, verificou-se que cada segundo a mais despendido para LSC aumentou em 11% e 7%, respectivamente, a probabilidade de HAS nos homens (RP: 1,11; IC95%: 1,03-1,20) e nas mulheres (RP: 1,07; IC95%: 1,04-1,12), enquanto cada passo a mais realizado na ME diminuiu em 2% a probabilidade para o desfecho (homens e mulheres = RP: 0,98; IC95%: 0,97-0,99). Conclusão Identificou-se que o teste de LCS esteve positivamente associado à HAS. Ademais, a ME apresentou-se inversamente associada à HAS.

Abstract Introduction During aging, changes occur in the human body that increase the probability of arterial hypertension which can potentiate deleterious effects on functional performance. Objective To analyze the association of functional performance indicators with hypertension in older people. Methods An epidemiological, population-based, cross-sectional survey was conducted with 209 older adults (58.40% women). Functional performance was assessed by the following tests: handgrip strength; chair stand test; arm curl test; timed up and go (TUG); sit and reach test; and step in place test (SPT). Diagnosis of arterial hypertension was self-reported. Results The prevalence of hypertension was found to be 58.90% (males: 51.70%; females: 63.90%). It was also observed that the hypertensive individuals of both sexes had worse performance in SPT and TUG (p < 0.05). Furthermore, it was found that each additional second for TUG increased by 11% the probability of hypertension in men (PR:1.11; 95%CI: 1.03-1.20) and by 7% in women (PR: 1.07; 95%CI: 1.04-1.12), while each step performed in the SPT decreased the probability for the outcome by 2% (men and women = PR: 0.98; 95%CI: 0.97-0.99). Conclusion TUG was found to be positively associated with hypertension, while SPT was inversely associated with hypertension.

Abstract Aim: 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.

RESUMO Este estudo identificou os fatores associados à dinapenia em idosos residentes em um município de pequeno porte do Nordeste brasileiro. Trata-se de um estudo populacional, conduzido com 208 idosos (58,7% mulheres) de Aiquara-BA. As informações sociodemográficas, comportamentais e de condições de saúde foram obtidas em entrevistas face a face, e o estado nutricional foi avaliado pelo índice de massa corporal. Para mensuração do nível de atividade física e do comportamento sedentário, utilizou-se o International Physical Activity Questionnaire. O diagnóstico da dinapenia foi realizado por sexo, a partir do percentil 25 da força de preensão manual, averiguada com um dinamômetro hidráulico. Para análises inferenciais foi utilizada a regressão de Poisson, com estimador robusto, cálculo das Razões de Prevalência (RP) e de seus respectivos intervalos de confiança de 95% (IC). A prevalência de dinapenia foi maior nos idosos com idade entre 70-79 (RP: 3,21; IC95%: 1,55-6,64) e ≥80 anos (RP: 4,91; IC95%: 2,32-10,39), nos com baixo peso (RP: 2,20; IC95%: 1,26-3,82), nos insuficientemente ativos (RP: 1,99; IC95%: 1,12-3,54) e entre os com elevado comportamento sedentário (RP: 1,88; IC95%: 1,19-2,98). Identificou-se que os fatores associados à dinapenia foram: idade entre 70-79 e ≥80 anos, nível de atividade física insuficiente; elevado comportamento sedentário e baixo peso.

ABSTRACT This study identified factors associated with dynapenia in older adults residing in a small town in northeastern Brazil. It is a population-based study conducted with 208 senior citizens (58.7% women) from Aiquara, BA. Sociodemographic, behavioral and health information were obtained from face-to-face interviews, and nutritional status was assessed by body mass index. To measure their level of physical activity and sedentary behavior, the International Physical Activity Questionnaire was used. Dynapenia was diagnosed by sex, from the 25th percentile of handgrip strength, by means of a hydraulic dynamometer. For inferential analyses, Poisson regression was used, with a robust estimator, calculation of Prevalence Ratios (PRs) and their respective 95% Confidence Intervals (CIs). The prevalence of dynapenia was higher in older adults aged 70-79 (PR: 3.21; 95%CI: 1.55-6.64) and ≥80 years (PR: 4.91; 95%CI: 2.32-10.39), in those with low weight (PR: 2.20; 95%CI: 1.26-3.82), in those who are insufficiently active (PR: 1.99; 95%CI: 1.12-3.54), and among those with high level of sedentary behavior (PR: 1.88; 95%CI: 1.19-2.98). The factors identified as being associated with dynapenia were: age between 70 and 79 and ≥80 years, insufficient level of physical activity; high level of sedentary behavior, and low weight.

Abstract Aim: 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.

RESUMO Objetivo Comparar a composição corporal de mulheres na pós-menopausa com e sem dinapenia a partir de diferentes pontos de corte. Métodos A composição corporal foi avaliada por bioimpedância elétrica e o estado nutricional pelo índice de massa corporal. A dinapenia foi diagnosticada por meio da força de preensão manual, utilizando-se os seguintes pontos de corte: força de preensão manual <16kgf e <20kgf. Resultados Participaram da pesquisa 171 mulheres (50 a 92 anos). A média de idade das não dinapênicas e das dinapênicas (força de preensão manual <20 kgf) foi 69,4±8,2 e 74,5±8,2 anos, respectivamente. As mulheres com dinapenia pela força de preensão manual <16kgf apresentaram média de idade de 75,0±10,1 anos e as não dinapênicas tinham, em média, 71,1±8,2 anos. Verificou-se que as mulheres dinapênicas, com força de preensão manual <20 e <16kgf, tinham em média 2,38 e 2,47kg a menos de massa muscular quando comparadas às não dinapênicas (p<0,05). Contudo, não foi observada diferença na massa muscular entre os diferentes grupos dinapênicos. As mulheres não dinapênicas (força de preensão manual ≥20kgf) apresentaram maior gordura total (3,55kg) e central (1,47kg) (p<0,05). Conclusão As mulheres dinapênicas, diagnosticadas por ambos os pontos de corte, apresentaram menor massa muscular total e por segmento em relação às não dinapênicas. Ademais, as dinapênicas com força de preensão manual <20kgf possuíam menor adiposidade total e no tronco.

ABSTRACT 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.