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Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning by Max Olsson; David C Currow; Magnus Per Ekström is a Medicine article available to read on EtoBox.

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## Objective To evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning. ## Design and setting This is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 2019. ## Participants A total of 475 older men aged 73 years from the VASCOL dataset. ## Measures Self-perceived health was measured using the first item of the Short Form 12. An extreme gradient-boosting model was trained to classify self-perceived health as better (rated: __excellent__ or __very good__) or worse (rated: __fair__ or __poor__) using self-reported data on 19 prevalent physician-diagnosed __health conditions__, intensity of 9 __symptoms__ and 9 __demographic and lifestyle factors__. Importance of factors was measured in SHapley Additive exPlanations absolute mean and higher scores correspond to greater importance. ## Results The most important factors for classifying self-perceived health were: pain (0.629), sleep quality (0.595), breathlessness (0.549), fatigue (0.542)

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Author

Max Olsson; David C Currow; Magnus Per Ekström

Publisher

BMJ

Published

2022

Language

EN

Field

Medicine (Health Sciences)