2023
DOI: 10.1186/s12877-023-03922-1
|View full text |Cite
|
Sign up to set email alerts
|

Development of a personalized fall rate prediction model in community-dwelling older adults: a negative binomial regression modelling approach

Abstract: Background Around a third of adults aged 65 and older fall every year, resulting in unintentional injuries in 30% of the cases. Fractures are a frequent consequence of falls, primarily caused in individuals with decreased bone strength who are unable to cushion their falls. Accordingly, an individual’s number of experienced falls has a direct influence on fracture risk. The aim of this study was the development of a statistical model to predict future fall rates using personalized risk predicto… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 47 publications
0
4
0
Order By: Relevance
“…The three cohorts are the Geneva Retirees Cohort (GERICO) [ 13 ], the Swiss CHEF Trial (SCT) [ 14 ], and the Kuopio Fall Prevention Study (KFPS) [ 15 , 16 ]. Fall rate prediction models were developed using a count regression modelling approach, and two of the three analyses have been published previously [ 17 , 18 ]. In short, the results showed that the history of falls measured as the number of prior falls within 12 months before the study examination was the best predictor for future falls in all three cohorts [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations
“…The three cohorts are the Geneva Retirees Cohort (GERICO) [ 13 ], the Swiss CHEF Trial (SCT) [ 14 ], and the Kuopio Fall Prevention Study (KFPS) [ 15 , 16 ]. Fall rate prediction models were developed using a count regression modelling approach, and two of the three analyses have been published previously [ 17 , 18 ]. In short, the results showed that the history of falls measured as the number of prior falls within 12 months before the study examination was the best predictor for future falls in all three cohorts [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…Fall rate prediction models were developed using a count regression modelling approach, and two of the three analyses have been published previously [ 17 , 18 ]. In short, the results showed that the history of falls measured as the number of prior falls within 12 months before the study examination was the best predictor for future falls in all three cohorts [ 17 , 18 ]. Furthermore, we showed the importance of how the information about the fall history is treated as a predictor.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations