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24-hour Movement Behaviours and Multimorbidity in Malawi: protocol for a cross-sectional study [version 2; peer review: 1 approved]

Дата публикации: 02-09-2026 13:31:29

Background Multimorbidity – the co-existence of two or more long-term conditions in an individual – is a growing problem in Malawi, as the population transitions from predominantly young and rural to older and more urban. People living with multimorbidity experience lower quality of life and shorter life expectancies. Managing multiple long-term conditions also poses a significant challenge for Malawi’s health system. Both physical activity (PA) and sleep have been shown, in other settings, to influence the development of multimorbidity, and health of people living with multimorbidity, but no large-scale objective measurement of these behaviours has yet been carried out in Malawi. Objectives To describe 24-hour free-living movement behaviour, comprising PA, inactivity, and sleep in an urban and a rural population in Malawi, and quantify associations of these behaviours with multimorbidity prevalence. Methods This will be a cross-sectional study, nested within a larger study of long-term conditions in an urban and a rural Health and Demographic Surveillance System in Malawi. A random sample of 4,000 pre-selected participants will be invited to wear an Axivity AX3 accelerometer on their dominant wrist for one week. Raw accelerometery data will be processed to produce 24-hour movement behaviour metrics of PA and sleep. Inverse probability weighting will be applied to account for selection procedures. Multimorbidity will be assessed through a combination of self-reported physical and mental long-term conditions and objective measurements, including blood pressure and fasting blood glucose. In addition, this study will add hand-held spirometry to assess for obstructive airways disease. Patterns and associations of accelerometer-derived metrics among people living with multimorbidity will be established through multivariable regression and compositional data analysis. Discussion This study will provide the largest description of device-measured 24-hour movement behaviours in Malawi to date, and the first description of the associations of these behaviours with multimorbidity in this population.

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