Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Denison HSubject: search.filters.subject.Osteoporosis

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    Understanding the Barriers and Enablers to Sporting Activity in Relation to Bone Health: A Qualitative Narrative Study among Adolescents and Young Adults in New Zealand
    (Longdom Publishing, 2020-07-29) Patel H; Denison H; Teesdale-Spittle P; Dennison E
    Background: Sports participation may be considered a method of reducing the risk of fragility fracture in later life by maximizing Peak Bone Mass (PBM) in the growing years. However, sports participation typically declines during late adolescence and adulthood. This qualitative study aims to identify barriers and facilitators to engaging with regular weight bearing sporting activity in adolescents and young adults in New Zealand. Methods: 44 adolescents and young adults aged 17 to 33 participated in nine focus groups. The study was conducted using a semi-structured approach with open-ended questions and prompts. Transcripts were thematically coded using an inductive content analysis approach. Results: The three main barriers to sports participation that emerged were a) structural (disorientation in a new living environment, facilities, access to healthcare), b) social (financial and time constraints) and c) personal (social pressures and lack of an understanding of why sporting activity matters for bone health) while enablers of sports participation included a) supportive environments, b) access to health checks including support to avoid injury and c) education to better understand benefits of recreational sporting activity. Conclusions: Current awareness of osteoporosis and lifestyle factors that impact PBM is limited. Educational interventions are now warranted and urgently required.
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    Clinical risk factors, bone density and fall history in the prediction of incident fracture among men and women
    (2013) Edwards MH; Jameson K; Denison H; Harvey NC; Sayer AA; Dennison EM; Cooper C
    The FRAX(tr) algorithm uses clinical risk factors (CRF) and bone mineral density (BMD) to predict fracture risk but does not include falls history in the calculation. Using results from the Hertfordshire Cohort Study, we examined the relative contributions of CRFs, BMD and falls history to fracture prediction. We studied 2299 participants at a baseline clinic that included completion of a health questionnaire and anthropometric data. A mean of 5.5years later (range 2.9-8.8years) subjects completed a postal questionnaire detailing fall and fracture history. In a subset of 368 men and 407 women, bone densitometry was performed using a Hologic QDR 4500 instrument. There was a significantly increased risk of fracture in men and women with a previous fracture. A one standard deviation drop in femoral neck BMD was associated with a hazards ratio (HR) of incident fracture (adjusted for CRFs) of 1.92 (1.04-3.54) and 1.77 (1.16-2.71) in men and women respectively. A history of any fall since the age of 45years resulted in an unadjusted HR of fracture of 7.31 (3.78-14.14) and 8.56 (4.85-15.13) in men and women respectively. In a ROC curve analysis, the predictive capacity progressively increased as BMD and previous falls were added into an initial model using CRFs alone. Falls history is a further independent risk factor for fracture. Falls risk should be taken into consideration when assessing whether or not to commence medication for osteoporosis and should also alert the physician to the opportunity to target falls risk directly.
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    The importance of fall history in fracture risk assessment
    (2013) Edwards MH; Jameson KA; Denison H; Harvey NC; Sayer AA; Dennison EM; Cooper C