Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.

ABSTRACT:

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

SUBMITTER: Olsson M 

PROVIDER: S-EPMC9214374 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature