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Assessing the relative importance of correlates of loneliness in later life. Gaining insight using recursive partitioning
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Linda Ejlskov, Jesper Wulff, Henrik Bøggild, Diana Kuh, Mai Stafford
Abstract
Improving the design and targeting of interventions is important for alleviating loneliness among older adults. This requires identifying which correlates are the most important predictors of loneliness. This study demonstrates the use of recursive partitioning in exploring the characteristics and assessing the relative importance of correlates of loneliness in older adults.
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