Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice

Abstract

Aims: To identify principal components of free-living patterns of sedentary behaviour in office employees with type 2 diabetes (T2D) compared to normal glucose metabolism (NGM) office employees, using principal component analysis (PCA). Methods: 213 office employees (n = 81 with T2D; n = 132 with NGM) wore an activPAL inclinometer 24 h a day for 7 consecutive days. Comparions of sedentary behaviour patterns between adults with T2D and NGM determined the dimensions that best characterise the sedentary behaviour patterns of office employees with T2D at work, outside work and at weekends. Results: The multivariate PCA technique identified two components that explained 60% of the variability present in the data of sedentary behaviour patterns in the population with diabetes. This was characterised by a fewer number of daily breaks and breaks in time intervals of less than 20 min both at work, outside work and at weekends. On average, adults with T2D took fewer 31 breaks/day than adults without diabetes. Conclusion: Effective interventions from clinical practice to tackle prolonged sedentary behaviour in office employees with T2D should focus on increasing the number of daily sedentary breaks.

Incorporating Objective Measures of Sedentary Behaviour Into the Detection and Control Methods of Type 2 Diabetes Mellitus in Office Employees: Development of a Mathematical Model for Clinical Practice.

“…All those variables that are considered technically important should be included in a model. First, we selected the variables that could potentially better explain the presence or absence of DM2 according to the useful model requirements (15). Second, and to build the prediction model, we introduced these variables (15) in the GLM model.…”

“…The SB pattern is de ned as the manner in which SB is accumulated throughout the day while awake, including the total sedentary time, the number of sedentary interruptions/breaks daily (a non-sedentary bout between two sedentary bouts), the frequency and duration of the sedentary bouts (a period of uninterrupted sedentary time), and the time accumulated in each period (8). Compared to o ce employees without DM2, o ce employees with DM2 have a lower total number of breaks per day and present an SB pattern characterised by fewer number of breaks in time intervals of less than 20 min (sedentary breaks < 20 min) (15).…”

“…In recent years, the approach to evaluating SB has changed from one based on the total number of hours of SB per day (total sedentary time) obtained by self-reported subjective measures (for example questionnaires, diaries) to one focused on the daily pattern of SB accumulation obtained by objective measures (for example, accelerometers). Accelerometers allow the recording and objective evaluation of the daily SB pattern in work and non-work contexts, on weekdays and at weekends, which makes it possible to characterise and differentiate the SB pattern in adults with DM2 from adults without DM2 (15) and reduce sources of potential bias inherent in the questionnaires (16). The SB pattern is de ned as the manner in which SB is accumulated throughout the day while awake, including the total sedentary time, the number of sedentary interruptions/breaks daily (a non-sedentary bout between two sedentary bouts), the frequency and duration of the sedentary bouts (a period of uninterrupted sedentary time), and the time accumulated in each period (8).…”

La salud móvil en atención primaria. Nuevos desafíos en el desarrollo de soluciones para promover la actividad física y el bienestar

“…La mSalud puede proporcionar un enfoque complementario a la práctica clínica habitual, pudiendo potenciar las tareas de promoción y de prevención de la salud que se llevan a cabo en las consultas de AP, abordando factores de riesgo poco tratados en la práctica clínica 10 . Es el caso de la actividad física realizada en los distintos contextos de la vida, la cual reemplaza tiempos prolongados de comportamiento sedentario (tiempo sentado en período de vigília) 10 . La mSalud puede monitorizar y evaluar a los pacientes de forma remota sin interferir en las actividades cuotidianas de la vida diaria 3 .…”

Análisis de las interrupciones generadas por el uso de los smartphones entre los profesionales sanitarios de Atención Primaria

“…En este otro estudio sobre un dispositivo mHealth 9 asociado al Smartphone del paciente se plantea el estudio de si esta herramienta puede ser efectiva para reducir el sedentarismo y aumentar la actividad física entre los trabajadores en oficina con diabetes mellitus tipo 2, dado que de esta manera los profesionales sanitarios tendrán una herramienta de bajo coste para el control de pacientes con enfermedades crónicas.…”