A Cultural Models Approach to Osteoporosis Prevention and Treatment

Otmar, Renée; Reventlow, Susanne; Morrow, Martha G.; Nicholson, Geoffrey C.; Kotowicz, Mark A.; Pasco, Julie A.

doi:10.1177/2158244012464976

Cited by 13 publications

(12 citation statements)

References 37 publications

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“…In a prospective cohort study of 240 older participants, those who experienced high levels of depressive symptoms prior to a medical event (hip fracture, stroke and heart attack), had a poorer likelihood of recovery in activities of daily living 27. Finally, a recent study using cultural models approach to understand how older women viewed osteoporosis reported that experiencing a fracture coincided with the acknowledgement of ‘getting older’ 28. Thus, we may expect a fracture to increase the likelihood of depression for some older women.…”

Section: Discussionmentioning

confidence: 99%

Depression following fracture in women: a study of age-matched cohorts

et al. 2014

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ObjectivesHigh levels of disability, functional impairment and mortality are independently associated with fracture and depression, however the relationship between fracture and depression is uncertain. The aim of this study was to investigate whether fracture is associated with subsequent depressive symptoms in a population-based sample of women.DesignA study of age-matched fracture versus non-fracture cohorts of women.SettingBarwon Statistical Division, southeastern Australia.ParticipantsTwo samples of women aged ≥35 years were drawn from the Geelong Osteoporosis Study (GOS). The fracture cohort included women with incident fracture identified from radiology reports and the non-fracture cohort were randomly selected from the electoral roll during 1994–1996.Outcome measureSymptoms of depression for women with and without fracture during the 12-month period 2000–2001 were identified by self-report questionnaire based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria.ResultsA total of 296 women with fracture (12 hip, 48 vertebral, 91 wrist/forearm, 17 upper arm, 7 pelvis, 11 rib, 62 lower leg and 48 other fractures) and 590 women without fracture were included. Associations between fracture and depression differed between younger (≤65 years) and older (>65 years) women. Age and weight-adjusted odds ratio for depression following fracture among younger women was 0.62 (0.35 to 1.11, p=0.12) and 3.33 (1.24 to 8.98, p=0.02) for older women. Further adjustment for lifestyle factors did not affect the results.ConclusionsThis study demonstrated that differences in mood status exist between older and younger women following fracture and that fracture is associated with increased depression in older women. Assessment of mood status in both the short and long term following fracture in the elderly seems justified, with early detection and treatment likely to result in improved outcomes.

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Section: Discussionmentioning

confidence: 99%

Depression following fracture in women: a study of age-matched cohorts

et al. 2014

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“…Given that osteoporosis often remains undetected until after a fragility fracture occurs [9], it is plausible that non-participation related to disinterest may be due to a lack of awareness of the disease. Osteoporosis has also been identified as a condition with ‘low salience’ among the lay and medical communities – there exists a level of ambivalence and unconcern about osteoporosis in individual patients and the general population [10,11]. Other factors that hampered interest may have been that certain attributes of the study were not salient or appealing enough to provide motivation to participate [12]; people may not see a personal gain from participating or feel disillusioned with scientific research on the whole [13].…”

Section: Discussionmentioning

confidence: 99%

Sex-differences in reasons for non-participation at recruitment: Geelong Osteoporosis Study

et al. 2013

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BackgroundUnderstanding reasons for non-participation in health studies can help guide recruitment strategies and inform researchers about potential sources of bias in their study sample. Whilst there is a paucity of literature regarding this issue, it remains highly plausible that men and women may have varied reasons for declining an invitation to participate in research. We aimed to investigate sex-differences in the reasons for non-participation at baseline of the Geelong Osteoporosis Study (GOS).MethodsThe GOS, a prospective cohort study, randomly recruited men and women aged 20 years and over from a region in south-eastern Australia using Commonwealth electoral rolls (2001–06 and 1993–97, respectively). Reasons for non-participation (n=1,200) were documented during the two recruitment periods. We used the Pearson’s chi squared test to explore differences in the reasons for non-participation between men and women.ResultsNon-participation in the male cohort was greater than in the female cohort (32.9% vs. 22.9%; p<0.001). Overall, there were sex-differences in the reasons provided for non-participation (p<0.001); apparent differences related to time constraints (men 26.3% vs. women 10.4%), frailty/inability to cope with or understand the study (men 18.7% vs. women 30.6%), and reluctance over medical testing (men 1.1% vs women 9.9%). No sex-differences were observed for non-participation related to personal reason/disinterest, and language- or travel-related reasons.ConclusionsImproving participation rates in epidemiological studies may require different recruitment strategies for men and women in order to address sex-specific concerns about participating in research.

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“…Aside from time constraints, which explained 13% of nonparticipation in the current study, Galea’s reasons for non-participation may have been encompassed in our disinterested category. Otmar and colleagues 24 investigated cultural models of osteoporosis in the same study region as the current study, and showed that osteoporosis is considered to be of low salience in the community which might explain the disinterest shown by some of the individuals approached to participate in the study. Reporting of disinterest for the reason for non-participation was influenced by age, whereby younger adults were more likely to cite it.…”

Section: Discussionmentioning

confidence: 90%

Sample Selection and Reasons for Non-Participation in the Predictors and Outcomes of Incident Fractures (Profrac) Study

Stuart

Pasco

Brennan-Olsen

et al. 2019

Journal of Public Health Research

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Background. Fragility fractures, associated with osteoporosis, are an escalating public health problem. We aim to describe sample selection, recruitment methods and reasons for non-participation in The PRedictors and Outcomes of incident FRACtures (PROFRAC) study. Design and Methods. Barwon Statistical Division residents aged 20+ years, with a radiologically-confirmed fracture between June 1st 2012 and May 31st 2013, were eligible. Individuals identified as fracture cases were invited by mail to complete a questionnaire. Reasons for non-participation were documented. Logistic regression techniques were used to determine odds ratios for participation and non-participation reasons. Results. A total of 1,458 of 2,155 (67.7%) adults with fracture (48.7% men) participated. Individuals were excluded due to inability to give informed consent, death, no knowledge of fracture, or inability to be contacted. The odds of participation decreased with age (OR 0.99, 95%CI 0.99-0.99, P=0.011) and increased among specific fracture groups [clavicle/scapula (OR 2.50, 1.30-4.68, P=0.006), forearm/humerus (OR 2.00, 1.22-3.27, P=0.006), wrist (OR 2.08, 1.31-0.32, P=0.002), hip (OR 2.12, 1.20-3.75, P=0.009), ankle (OR 1.85, 1.20-2.87, P=0.001), compared to face/skull fractures]. The odds of reporting disinterest, time constraints or personal reasons as the reason for non-participation decreased with age, whereas the odds of reporting frailty, language-related issues or illness as the reason for non-participation increased with of age [disinterest (OR 0.98, 0.97-0.98, P<0.001), time constraints (OR 0.97, 0.96-0.98, P<0.001), personal reasons (OR 0.98, 0.97-0.99, P=0.007), frailty (OR 1.12, 1.09- 1.15, P<0.001), language-related issues (OR 1.02, 1.01-1.04, P<0.001), illness (OR 1.03, 1.02-1.05, P<0.001)]. Conclusions. Understanding drivers of research participation can inform study design to achieve optimal participation in health research.

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A Cultural Models Approach to Osteoporosis Prevention and Treatment

Cited by 13 publications

References 37 publications

Depression following fracture in women: a study of age-matched cohorts

Depression following fracture in women: a study of age-matched cohorts

Sex-differences in reasons for non-participation at recruitment: Geelong Osteoporosis Study

Sample Selection and Reasons for Non-Participation in the Predictors and Outcomes of Incident Fractures (Profrac) Study

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