The epidemiology of hospitalised wrist fractures in older people, New South Wales, Australia

Boufous, Soufiane; Finch, Caroline F.; Lord, Stephen R.; Close, Jacqueline C.T.; Gothelf, Todd; Walsh, William R.

doi:10.1016/j.bone.2006.05.011

Cited by 29 publications

(21 citation statements)

References 22 publications

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“…The current study confirms the continuation of a rising trend in hospitalisations due to pelvic [42] and wrist fractures [43]. The admission rate for forearm/elbow fractures decreased significantly over the study period.…”

Section: Discussionsupporting

confidence: 85%

Conflicting trends in fall-related injury hospitalisations among older people: variations by injury type

Watson

Mitchell

2010

Osteoporos Int

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Section: Discussionsupporting

confidence: 85%

Conflicting trends in fall-related injury hospitalisations among older people: variations by injury type

Watson

Mitchell

2010

Osteoporos Int

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“…However, studies in North America, Europe, and Oceania have reported incidence decreases [12][13][14][15][16][17][18][19]. Secular trends in the incidence of distal forearm fractures have been evaluated in North America [19], Australia [20], Sweden [21], and the Netherlands [9,22]. The incidence rates of distal forearm fractures due to mild trauma appear to be relatively stable or to have decreased in most of these studies.…”

Section: Discussionmentioning

confidence: 97%

Epidemiology of fragility fractures in Sakaiminato, Japan: incidence, secular trends, and prognosis

et al. 2015

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“…With an ageing population, the rise in the number of falls and the cost of their treatment is predicted to lead to a huge burden on the individual and the community (Moller, 2005). Falls epidemiology data describing the magnitude of, and trends in, the problem has largely been descriptive in nature (Boufous et al, 2006;Boufous et al, 2004). It is important that good statistical models are used to generate accurate and reliable information to guide policy decisions in relation to priority setting and intervention investments to tackle the fall injury problem.…”

Section: Introductionmentioning

confidence: 98%

Statistical modelling for falls count data

Ullah

Finch

Day

2010

Accident Analysis & Prevention

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Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of the underlying statistical and modelling assumptions. This paper compares the use of modified Poisson and negative binomial (NB) models as alternatives to Poisson (P) regression, for the analysis of fall outcome counts. Four different count-based regression models (P, NB, zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB)) were each individually fitted to four separate fall count datasets from Australia, New Zealand and United States. The finite mixtures of P and NB regression models were also compared to the standard NB model. Both analytical (F, Vuong and bootstrap tests) and graphical approaches were used to select and compare models. Simulation studies assessed the size and power of each model fit. This study confirms that falls count distributions are over-dispersed, but not dispersed due to excess zero counts or heterogeneous population. Accordingly, the P model generally provided the poorest fit to all datasets. The fit improved significantly with NB and both zero-inflated models. The fit was also improved with the NB model, compared to finite mixtures of both P and NB regression models. Although there was little difference in fit between NB and ZINB models, in the interests of parsimony it is recommended that future studies involving modelling of falls count data routinely use the NB models in preference to the P or ZINB or finite mixture distribution. The fact that these conclusions apply across four separate datasets from four different samples of older people participating in studies of different methodology, adds strength to this general guiding principle.

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The epidemiology of hospitalised wrist fractures in older people, New South Wales, Australia

Cited by 29 publications

References 22 publications

Conflicting trends in fall-related injury hospitalisations among older people: variations by injury type

Conflicting trends in fall-related injury hospitalisations among older people: variations by injury type

Epidemiology of fragility fractures in Sakaiminato, Japan: incidence, secular trends, and prognosis

Statistical modelling for falls count data

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