@article{ref1,
title="A regression tree for identifying risk factors for fear of falling: the International Mobility in Aging Study (IMIAS)",
journal="Journals of gerontology. Series A: Biological sciences and medical sciences",
year="2019",
author="Curcio, Carmen-Lucia and Wu, Yan Yan and Vafaei, Afshin and Barbosa, Juliana Fernandez de Souza and Guerra, Ricardo and Guralnik, Jack and Gómez, Fernando",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: We determine the best combination of factors for predicting the risk of developing fear of falling (FOF) in older people via Classification Regression Tree (CaRT) analysis. <br><br>METHODS: Community-dwelling older adults living in Canada, Albania, Brazil, and Colombia were from International Mobility in Aging Study (IMIAS). In 2014, 1,725 participants (aged 65-74) were assessed. With a retention rate of 81%, in 2016, 1,409 individuals were reassessed. Risk factors for FOF were entered into the CaRT: age, sex, education, self-rated health, comorbidity, medication, visual impairment, frailty, cognitive deficit, depression, fall history, Short Physical Performance Battery (SPPB), walking aid use, and mobility disability measured by the Nagi questionnaire. <br><br>RESULTS: The classification tree included 12 end groups representing differential risks of FOF with a minimum of two and a maximum of five predictors. The first split in the tree involved impaired physical function (SPPB scores). Respondents with less than 8 in SPPB score and mobility disability had 82% risk of developing FOF at the end of 2-year follow-up. Between 23.2% and 82.3% of the risk of developing FOF in 2 years of follow-up were explained by only five variables: age, sex, self-rated health, functional impairment measured by SPPB, and mobility disability. In those with no functional impairment or mobility disability, levels of education, sex, and self-rated health were important predictors of FOF in the future. <br><br>CONCLUSION: This classification tree included different groups based on specific combinations of a maximum of five easily measurable predictors with emphasis on impaired physical functioning risk factors for developing FOF.<p /> <p>Language: en</p>",
language="en",
issn="1079-5006",
doi="10.1093/gerona/glz002",
url="http://dx.doi.org/10.1093/gerona/glz002"
}