Literature DB >> 25762018

Do Sex Differences Exist in Rates of Falls and Fractures in Hutterite, Rural, and Nonrural Populations, Aged 20 to 66 Years?

Lee Weidauer1, Teresa Binkley, Tianna Beare, Maggie Minett, Lacey McCormack, Andrew Wey, Bonny Specker.   

Abstract

BACKGROUND: Falls and fractures are a major public health concern with an economic impact of more than USD 19 billion per year. Extensive research into the risk of falls and fractures in elderly populations has been performed; however, little is known about fall or fracture risk in younger populations. Additionally, sex- and population-specific (rural versus nonrural) fall and fracture risk may be important in identifying groups most at risk in an effort to develop preventive measures. QUESTIONS/PURPOSES: The purpose of this study was to determine whether sex and population (rural versus nonrural) differences exist in fall and fracture rates.
METHODS: Data from 1256 (538 men) participants of the South Dakota Rural Bone Health Study, a population-based cohort study, including those living a rural lifestyle (n=349 non-Hutterites and 572 Hutterites) and a nonrural lifestyle (n=335), were used to address our a priori hypotheses. Health histories, physical activity recall, anthropometric measurements, and dual-energy xray absorptiometry measurements of body composition were obtained longitudinally from participants every 18 months for 7.5 years. Falls and fractures were self-reported and fractures were confirmed through medical record review. Incidence rates were calculated as the number of falls or fractures per 1000 person-years and generalized estimating equations determined the association of sex and population group with fall and fractures rates while accounting for the repeated longitudinal measurements on the same person. All models adjusted for age group, percent time in moderate and vigorous physical activity, lean and fat mass, grip strength, and previous diagnosis of osteoarthritis.
RESULTS: Males aged 39 years and younger had a 135% greater fall risk than females in the same age category (p=0.03), but there was no differences between males and females 40 years of age or older (p=0.26; age-by-sex interaction, p=0.05). No sex differences were observed for fracture risk. After controlling for covariates, rural and nonrural individuals fell at higher rates than Hutterites (84% and 50%, respectively, p<0.001). Additionally, rural individuals fractured at a 72% greater rate than Hutterites after controlling for covariates (p=0.03).
CONCLUSIONS: Sex differences in fall risk among younger individuals along with population differences in fall and fracture rates suggest that sex and lifestyle factors may have an impact on fall and fracture risk. Future studies focusing on sex- and population-specific risk factors are necessary to develop prevention strategies tailored to specific populations. LEVEL OF EVIDENCE: Level III, prospective study.

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Mesh:

Year:  2015        PMID: 25762018      PMCID: PMC4488222          DOI: 10.1007/s11999-015-4248-3

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  16 in total

1.  Grip strength in the frail elderly.

Authors:  Orit Shechtman; William C Mann; Michael D Justiss; Machiko Tomita
Journal:  Am J Phys Med Rehabil       Date:  2004-11       Impact factor: 2.159

2.  The costs of fatal and non-fatal falls among older adults.

Authors:  J A Stevens; P S Corso; E A Finkelstein; T R Miller
Journal:  Inj Prev       Date:  2006-10       Impact factor: 2.399

3.  Incidence rates of falls among Japanese men and women living in Hawaii.

Authors:  J W Davis; P D Ross; M C Nevitt; R D Wasnich
Journal:  J Clin Epidemiol       Date:  1997-05       Impact factor: 6.437

4.  Incidence of hip fracture in western Sweden 1974-1982. Comparison of rural and urban populations.

Authors:  S Mannius; D Mellström; A Odén; A Rundgren; C Zetterberg
Journal:  Acta Orthop Scand       Date:  1987-02

5.  Fracture incidence in Olmsted County, Minnesota: comparison of urban with rural rates and changes in urban rates over time.

Authors:  L J Melton; C S Crowson; W M O'Fallon
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

6.  An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2006-09-16       Impact factor: 4.507

7.  Fall-induced injuries and deaths among older adults.

Authors:  P Kannus; J Parkkari; S Koskinen; S Niemi; M Palvanen; M Järvinen; I Vuori
Journal:  JAMA       Date:  1999-05-26       Impact factor: 56.272

8.  Fracture rates lower in rural than urban communities: the Geelong Osteoporosis Study.

Authors:  K M Sanders; G C Nicholson; A M Ugoni; E Seeman; J A Pasco; M A Kotowicz
Journal:  J Epidemiol Community Health       Date:  2002-06       Impact factor: 3.710

9.  Rural versus nonrural differences in BMC, volumetric BMD, and bone size: a population-based cross-sectional study.

Authors:  Bonny Specker; Teresa Binkley; Nancy Fahrenwald
Journal:  Bone       Date:  2004-12       Impact factor: 4.398

10.  Incidence rate of falls in an aged population in northern Finland.

Authors:  H Luukinen; K Koski; L Hiltunen; S L Kivelä
Journal:  J Clin Epidemiol       Date:  1994-08       Impact factor: 6.437

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