Association between accelerometry and physical activity levels measured by questionnaires in patients on hemodialysis
Creators: name: Alvarenga, Bárbara Almeida
name: Pinheiro, Bruno Valle
name: de Jesus, Luciana Angélica da Silva
name: da Silva, Carlos Miguel Brum
name: Bainha, Ana Clara Cattete
name: Segura-Ortí, Eva
name: Oliveira, Cristino Carneiro
name: Lucinda, Leda Marília Fonseca
name: Reboredo, Maycon Moura
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Science Policy
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: This study aimed to evaluate association of accelerometry data with physical activity levels (PAL) measured by three questionnaires and to investigate their ability to discriminate physically inactive from active patients on hemodialysis. A cross-sectional study was conducted. PAL were assessed by accelerometry and questionnaires: Human Activity Profile (HAP), International Physical Activity Questionnaire (IPAQ), and 36-Item Short Form Health Survey (SF-36). This study included 105 patients (59.2 ± 12.5 years, 60.0% male). Accelerometer data were significantly correlated with all questionnaire scores. Adjusted activity score (AAS) of HAP presented moderate to strong correlation with daily step count (ρ = 0.552, <i>p</i> &lt; 0.001) and time in moderate and vigorous physical activity (ρ = 0.642, <i>p</i> &lt; 0.001). AAS was associated with daily step count (R<sup>2</sup> = 0.29, <i>p</i> &lt; 0.001) and time in moderate to vigorous physical activity (R<sup>2</sup> = 0.24, <i>p</i> = 0.001). Cutoff values for AAS of HAP, IPAQ, and physical component summary of the SF-36 for discriminating physically inactive from active patients were 63, 1139 and 44 (threshold of 5000 steps/day), respectively, and 55, 773 and 38 (threshold of 4260 steps/day), respectively. PAL scores on questionnaires were associated with accelerometer data, mainly the HAP. Furthermore, this study established cutoff points for questionnaire scores to discriminate physically inactive from active patients. The association of accelerometry data with physical activity levels (PAL) scores of questionnaires suggests that simple and feasible questionnaires can be used to evaluate the PAL among patients on hemodialysis.The Human Activity Profile appears to be the best instrument for evaluating PAL in these patients.Cutoff points for the questionnaires scores to discriminate physically inactive from active patients can contribute to the interpretation of PAL in clinical practice. The association of accelerometry data with physical activity levels (PAL) scores of questionnaires suggests that simple and feasible questionnaires can be used to evaluate the PAL among patients on hemodialysis. The Human Activity Profile appears to be the best instrument for evaluating PAL in these patients. Cutoff points for the questionnaires scores to discriminate physically inactive from active patients can contribute to the interpretation of PAL in clinical practice.