Age- and sex-related patterns of first fracture and fracture prevalence.

There are few data documenting the pattern of prevalent fracture across the entire adult age range, so we aimed to address this gap by investigating the prevalence of fractures in an Australian cohort. All-cause (ever) fractures were identified for males and females enrolled in the Geelong Osteoporosis Study (Australia) using a combination of radiology-confirmed and self-reported data. First fractures were used to generate age-related frequencies of individuals who had ever sustained a fracture. Of 1,538 males and 1,731 females, 927 males and 856 females had sustained at least one fracture since birth. The proportion of all prevalent fractures in the 0-10 year age group was similar for both sexes (~10%). In males, the proportion with prevalent fracture increased to 34.1% for age 11-20 year. Smaller increases were observed into mid-life, reaching a plateau at ~50% from mid to late life. The age-related prevalence of fracture for females showed a more gradual increase until mid-life. For adulthood prevalent fractures, approximately 20% of males had sustained a first adulthood fracture in the 20-30 year age group, with a gradual increase up to the oldest age group (49.1%), while females showed an exponential pattern of increase from the 20-30 year age group (6.8%) to the oldest age group (60.4%). In both sexes, those who had not sustained a fracture in childhood or early adulthood generally appeared to remain fracture-free until at least the sixth decade. When considering the prevalence of adulthood fractures across the age groups, males showed a gradual increase while females showed an exponential increase.

Humeral Fractures in South-Eastern Australia: Epidemiology and Risk Factors.

In this study, we report the epidemiology and risk factors for humeral fractures (proximal humerus and shaft) among men and women residing in south-eastern Australia. Incident fractures during 2006 and 2007 were identified using X-ray reports (Geelong Osteoporosis Study Fracture Grid). Risk factors were identified using data from case-control studies conducted as part of the Geelong Osteoporosis Study. Median age of fracture was lower in males than females for proximal humerus (33.0 vs 71.2 years), but not for humeral shaft (8.9 vs 8.5 years). For females, proximal humerus fractures occurred mainly in the 70-79 and 80+ years age groups, whereas humeral shaft fractures followed a U-shaped pattern. Males showed a U-shaped pattern for both proximal humerus and humeral shaft fractures. Overall age-standardised incidence rates for proximal humerus fractures in males and females were 40.6 (95% CI 32.7, 48.5) and 73.2 (95% CI 62.2, 84.1) per 100,000 person years, respectively. For humeral shaft fractures, the age-standardised rate was 69.3 (95% CI 59.0, 79.6) for males and 61.5 (95% CI 51.9, 71.0) for females. There was an increase in risk of proximal humerus fractures in men with a lower femoral neck BMD, younger age, prior fracture and higher milk consumption. In pre-menopausal women, increased height and falls were both risk factors for proximal humerus fractures. For post-menopausal women, risk factors associated with proximal humerus fractures included a lower non-milk dairy consumption and sustaining a prior fracture. Humeral shaft fractures in both sexes were sustained mainly in childhood, while proximal humerus fractures were sustained in older adulthood. The overall age-standardised rates of proximal humerus fractures were nearly twice as high in females compared to males, whereas the incidence rates of humeral shaft fractures were similar.

The Epidemiology of Incident Fracture from Cradle to Senescence.

To reduce the burden of fracture, not only does bone fragility need to be addressed, but also injury prevention. Thus, fracture epidemiology irrespective of degree of trauma is informative. We aimed to determine age-and-sex-specific fracture incidence rates for the Barwon Statistical Division, Australia, 2006-2007. Using radiology reports, incident fractures were identified for 5342 males and 4512 females, with incidence of 210.4 (95 % CI 204.8, 216.2) and 160.0 (155.3, 164.7)/10,000/year, respectively. In females, spine (clinical vertebral), hip (proximal femoral) and distal forearm fractures demonstrated a pattern of stable incidence through early adult life, with an exponential increase beginning in postmenopausal years for fractures of the forearm followed by spine and hip. A similar pattern was observed for the pelvis, humerus, femur and patella. Distal forearm, humerus, other forearm and ankle fractures showed incidence peaks during childhood and adolescence. For males, age-related changes mimicked the female pattern for fractures of the spine, hip, ribs, pelvis and humerus. Incidence at these sites was generally lower for males, particularly among the elderly. A similar childhood-adolescent peak was seen for the distal forearm and humerus. For ankle fractures, there was an increase during childhood and adolescence but this extended into early adult life; in contrast to females, there were no further age-related increases. An adolescent-young adult peak incidence was observed for fractures of the face, clavicle, carpal bones, hand, fingers, foot and toe, without further age-related increases. Examining patterns of fracture provides the evidence base for monitoring temporal changes in fracture burden, and for identifying high-incidence groups to which fracture prevention strategies could be directed.

Psychiatric disorders, psychotropic medication use and falls among women: an observational study.

BACKGROUND: Psychotropic agents known to cause sedation are associated with an increased risk of falls, but the role of psychiatric illness as an independent risk factor for falls is not clear. Thus, this study aimed to investigate the association between psychiatric disorders, psychotropic medication use and falls risk. METHODS: This study examined data collected from 1062 women aged 20-93 yr (median 50 yr) participating in the Geelong Osteoporosis Study, a large, ongoing, population-based study. Depressive and anxiety disorders for the preceding 12-month period were ascertained by clinical interview. Current medication use and falls history were self-reported. Participants were classified as fallers if they had fallen to the ground at least twice during the same 12-month period. Anthropometry, demographic, medical and lifestyle factors were determined. Logistic regression was used to test the associations, after adjusting for potential confounders. RESULTS: Fifty-six women (5.3%) were classified as fallers. Those meeting criteria for depression within the past 12 months had a 2.4-fold increased odds of falling (unadjusted OR = 2.4, 95% CI 1.2-4.5). Adjustment for age and mobility strengthened the relationship (adjusted OR = 2.7, 95% CI 1.4-5.2) between depression and falling, with results remaining unchanged following further adjustment for psychotropic medication use (adjusted OR = 2.7, 95% CI 1.3-5.6). In contrast, past (prior to 12-month) depression were not associated with falls. No association was observed between anxiety and falls risk. Falling was associated with psychotropic medication use (unadjusted OR = 2.8, 95% CI 1.5-5.2), as well as antidepressant (unadjusted OR = 2.4, 95% CI 1.2-4.8) and benzodiazepine use (unadjusted OR = 3.4, 95% CI 1.6-7.3); associations remained unchanged following adjustment for potential confounders. CONCLUSION: The likelihood of falls was increased among those with depression within the past 12 months, independent of psychotropic medication use and other recognised confounders, suggesting an independent effect of depression on falls risk. Psychotropic drug use was also confirmed as an independent risk factor for falls, but anxiety disorders were not. Further research into the underlying mechanisms is warranted.

Sports participation and fracture in older Australian men.

Older men who participated in a sporting activity were less likely to sustain any fracture or major osteoporotic fracture over a 6-year follow-up period. PURPOSE: Regular weight-bearing physical activity can reduce fracture risk through an increase in bone strength, as well as reducing falls risk by improving muscle strength and balance. In this study, we aimed to determine whether a specific type of physical activity, sports participation, reduces fracture risk in older Australian men. METHODS: Participation in sporting activities was documented for men aged 60 years and over enrolled in the Geelong Osteoporosis Study situated in south-eastern Australia. Fractures at any skeletal site (excluding skull, face, fingers and toes) and major osteoporotic fracture sites (MOF; wrist, proximal humerus, spine and hip) were ascertained through examination of radiological reports (median follow-up 6.63 years, IQR 5.58-7.29). Multivariable logistic regression was used to investigate the association between sports participation (either binary or continuous) and any fracture or MOF. Other clinical measures and lifestyle variables (such as comorbidity, falls and mobility) were included as potential confounders. RESULTS: During follow-up, 82 of 656 men (12.5%) sustained at least one fracture at any site and 58 sustained at least one MOF (8.8%). Of those who did and did not fracture (any site), 17 (20.7%) and 204 (35.5%) participated in at least one sporting activity. For MOF, the values were 11 (19.0%) and 210 (35.1%), respectively. Participation in any sporting activity was associated with a reduction in the likelihood of any fracture during follow-up (unadjusted: OR 0.47, 95%CI 0.27-0.83), which persisted after adjusting for other factors (adjusted: OR 0.52, 95%CI 0.29-0.91). The results for MOF were similar (unadjusted: OR 0.43, 0.22-0.85; adjusted 0.48, 0.24-0.95). When considering sports participation as a continuous variable, a trend was observed (adjusted: p = 0.051 and p = 0.059 for any and MOF, respectively). A sensitivity analysis showed similar results when excluding men who reported using a walking aid. CONCLUSIONS: In this group of older men, participation in sporting activity was associated with a reduced risk of fracture during the subsequent follow-up period.

Poor quality of life in Australian men: Cross-sectional associations with obesity, mobility, lifestyle and psychiatric symptoms.

OBJECTIVES: Despite their public health importance, little is known about associations between modifiable lifestyles, quality of life (QOL), and psychiatric symptoms in men. We investigated relationships between QOL, obesity, mobility and lifestyle in Australian men, including whether associations were mediated by anxiety and depression. STUDY DESIGN: A cross-sectional study of 893 men (aged 24-92 yrs) participating in the Geelong Osteoporosis Study: an age-stratified, population-based sample of men randomly recruited from the Barwon Statistical Division (BSD), in south-eastern Australia. MAIN OUTCOME MEASURES: Using a validated tool, QOL was measured in the domains of physical health, psychological health, social relationships and the environment. Anxiety and depression were ascertained using the Hospital Anxiety and Depressive Scale. Models were adjusted for age, clinical measures of obesity and mobility, and self-reported lifestyles, with adjustment made for anxiety and depression. RESULTS: Associations were observed between low mobility and lower psychological-related QOL (OR 0.70, 95%CI 0.53-0.93), and for smoking and low mobility with lower environment-related QOL (OR 0.48, 95%CI 0.27-0.84; OR 0.67, 95%CI 0.50-0.90, respectively). Age, anxiety and depression were independently associated with QOL in each domain. CONCLUSIONS: Independent of age, anxiety and depression, smoking and low mobility showed particularly strong effects on the likelihood of men reporting a lower satisfaction with their QOL. This information will inform the design of effective and equitable health policies, the allocation of resources toward unmet needs, and the development of strategic health-related plans.

Translating Osteoporosis Prevention Guidelines.

OBJECTIVE: In Australia, the social gradient of chronic disease has never been as prominent as in current times, and the uptake of preventive health messages appears to be lower in discrete population groups. In efforts to re-frame health promotion from addressing behavior change to empowerment, we engaged community groups in disadvantaged neighborhoods to translate published preventive guidelines into easy-to-understand messages for the general population. METHOD: Our research team established partnerships with older aged community groups located in disadvantaged neighborhoods, determined by cross-referencing addresses with the Australian Bureau of Statistics, to translate guidelines regarding osteoporosis prevention. RESULTS: We developed an oversized jigsaw puzzle that we used to translate recommended osteoporosis prevention guidelines. DISCUSSION: Successful participatory partnerships between researchers, health promotion professionals, and community groups in disadvantaged neighborhoods build capacity in researchers to undertake future participatory processes; they also make the best use of expert knowledge held by specific communities.

Knowledge change regarding osteoporosis prevention: translating recommended guidelines into user-friendly messages within a community forum.

BACKGROUND: Osteoporosis is a skeletal disorder characterised by low bone mineral density and increased fracture risk. Nationally the total costs of this chronic disease are currently estimated at $2.754 billion annually. Effective public health messages providing clear recommendations are vital in supporting prevention efforts. This research aimed to investigate knowledge change associated with the translation of preventive guidelines into accessible messages for the community. FINDINGS: We delivered a community-based information session that translated recommended guidelines for osteoporosis prevention into lay terms; items focused on dietary calcium, vitamin D, physical activity, alcohol, smoking and general osteoporosis-related knowledge. We developed a 10-item questionnaire reflecting these key points (score range 0-10) and investigated knowledge change associated with the session. Pre- and post-test questionnaires were completed by 47 participants (51% female), aged 21-94 years. Relatively high pre-test scores were observed for questions regarding sedentary activity and calcium intake. The lowest pre-test scores were observed for the item concerning whether swimming and cycling strengthened bones, and the highest possible score post-test was achieved for three of the items: calcium-rich food as a protective factor, and excessive alcohol and smoking as risk factors. The overall increase in knowledge change was a mean score of +2.08 (95%CI 1.58-2.42). CONCLUSIONS: An increase in knowledge regarding osteoporosis prevention was demonstrated over the short-term. Our findings suggest that the guidelines concerning dietary calcium are generally well understood; however, the asymptomatic nature of osteoporosis and the types of physical activity that assist with bone strength are less well understood.

Small area-level socioeconomic status and all-cause mortality within 10 years in a population-based cohort of women: Data from the Geelong Osteoporosis Study.

BACKGROUND: The social gradient of health and mortality is well-documented. However, data are scarce regarding whether differences in mortality are observed across socio-economic status (SES) measured at the small area-level. We investigated associations between area-level SES and all-cause mortality in Australian women aged ≥ 20 years. METHODS: We examined SES, obesity, hypertension, lifestyle behaviors and all-cause mortality within 10 years post-baseline (1994), for 1494 randomly-selected women. Participants' residential addresses were matched to Australian Bureau of Statistics Census data to identify area-level SES, and deaths were ascertained from the Australian National Deaths Index. Logistic regression models were adjusted for age, and subsequent adjustments made for measures of weight status and lifestyle behaviors. RESULTS: We observed 243 (16.3%) deaths within 10 years post-baseline. Females in SES quintiles 2-4 (less disadvantaged) had lower odds of mortality (0.49-0.59) compared to SES quintile 1 (most disadvantaged) under the best model, after adjusting for age, smoking status and low mobility. CONCLUSIONS: Compared to the lowest SES quintile (most disadvantaged), females in quintiles 2 to 5 (less disadvantaged) had significantly lower odds ratio of all-cause mortality within 10 years. Associations between extreme social disadvantage and mortality warrant further attention from research, public health and policy arenas.

Carpal and scaphoid fracture incidence in south-eastern Australia: an epidemiologic study.

UNLABELLED: Carpal fractures were identified by the Geelong Osteoporosis Study Fracture Grid for 2006-2007. Incidence rates were higher in males than females. Males had a lower median age of fracture than females. Females had more fractures on the left side than males. Most fractures were the result of a fall. PURPOSE: In this study, we report the incidence of carpal bone fractures (scaphoid and non-scaphoid) amongst residents from the Barwon Statistical Division over 2 years. METHODS: X-ray reports from imaging centres in the region were used to identify incident fractures during 2006 and 2007. Data were collected as part of the Geelong Osteoporosis Study Fracture Grid. RESULTS: During 2006 and 2007, there were 171 and 41 carpal fractures in males and females, respectively. Of these, 131 males and 29 females had fractured the scaphoid bone. Females had a higher proportion of left-sided fractures (>70 %) than males (∼40 %). Most fractures were the result of an accidental fall (>87 %). Patterns of incidence for males showed one major peak around 20-29 years. For females, peaks occurred around age 10-19 years and 70-79 years. Incidence rates for males (per 100,000 persons per year) were 54.6 (95 % confidence interval (CI) 53.6, 55.7) and 15.9 (95 % CI 15.4, 16.5) for scaphoid and non-scaphoid fractures, respectively. In females, the corresponding rates were 10.6 (95 % CI 10.2, 11.1) and 4.5 (95 % CI 4.2, 4.8). CONCLUSION: Almost all fractures were the result of a fall. In males, carpal fractures were sustained mainly during early adulthood and in females during adolescence and after menopause. Incidence rates for males were higher than those in females for both scaphoid and non-scaphoid fractures.

Who are the older Australians referred for a bone density scan? Data from the Barwon region.

We investigated the reasons for referral of older Australians aged 70 years and older to dual energy X-ray absorptiometry (DXA). The most common clinical indication was being aged 70 years and older, followed by monitoring for fracture or low bone mineral density (BMD). Compared to males, females were twice as likely to have osteoporotic BMD. PURPOSE/INTRODUCTION: Little is known about reasons for the referral of older Australians to dual energy X-ray absorptiometry (DXA) for bone mineral density (BMD) measurements. Thus, we aimed to document the reasons for referral to DXA in Australian men and women aged 70 years and older and investigate any differences between the sexes. METHODS: Reasons for DXA referral were examined in 5438 patients aged ≥ 70 years (78.5 % female), referred to the Geelong Bone Densitometry Service, south-eastern Victoria, 2003-2010. Clinical indication codes derived from patient records were used to ascertain reasons for referral. We ascertained age, sex and BMD measures at the femoral neck and spine for each patient. RESULTS: The most common reason for DXA referral was being aged ≥ 70 years (64.6 %), followed by monitoring of fracture or low BMD. In this referred population, a greater proportion of men than women had BMD in the normal range (men 30.2 % vs. women 10.9 %, p < 0.001), whereas sex differences in the opposite direction were seen for BMD in the osteopenic range (women 47.7 % vs. men 44.3 %, p = 0.04) and in the osteoporotic range (women 41.4 % vs. men 25.5 %, p < 0.001). After age adjustment, women were twice as likely to have BMD in the osteoporotic range compared to men (odds ratio (OR) 2.25, 95% confidence interval (95%CI) 1.95-2.61). CONCLUSION: For both sexes, the most common reason for referral was being aged 70 years or older. Referred women were twice as likely as men to have BMD in the osteoporosis range. These data suggest that even more women may need to be referred to DXA.

Body mass index and measures of body fat for defining obesity and underweight: a cross-sectional, population-based study.

BACKGROUND: The body mass index (BMI) is commonly used as a surrogate marker for adiposity. However, the BMI indicates weight-for-height without considering differences in body composition and the contribution of body fat to overall body weight. The aim of this cross-sectional study was to identify sex-and-age-specific values for percentage body fat (%BF), measured using whole body dual energy x-ray absorptiometry (DXA), that correspond to BMI 18.5 kg/m(2) (threshold for underweight), 25.0 kg/m(2) (overweight) and 30.0 kg/m(2) (obesity) and compare the prevalence of underweight, overweight and obesity in the adult white Australian population using these BMI thresholds and equivalent values for %BF. These analyses utilise data from randomly-selected men (n = 1446) and women (n = 1045), age 20-96 years, who had concurrent anthropometry and DXA assessments as part of the Geelong Osteoporosis Study, 2001-2008. RESULTS: Values for %BF cut-points for underweight, overweight and obesity were predicted from sex, age and BMI. Using these cut-points, the age-standardised prevalence among men for underweight was 3.1% (95% CI 2.1, 4.1), overweight 40.4% (95% CI 37.7, 43.1) and obesity 24.7% (95% CI 22.2, 27.1); among women, prevalence for underweight was 3.8% (95% CI 2.6, 5.0), overweight 32.3% (95% CI 29.5, 35.2) and obesity 29.5% (95% CI 26.7, 32.3). Prevalence estimates using BMI criteria for men were: underweight 0.6% (95% CI 0.2, 1.1), overweight 45.5% (95% CI 42.7, 48.2) and obesity 19.7% (95% CI 17.5, 21.9); and for women, underweight 1.4% (95% CI 0.7, 2.0), overweight 30.3% (95% CI 27.5, 33.1) and obesity 28.2% (95% CI 25.4, 31.0). CONCLUSIONS: Utilising a single BMI threshold may underestimate the true extent of obesity in the white population, particularly among men. Similarly, the BMI underestimates the prevalence of underweight, suggesting that this body build is apparent in the population, albeit at a low prevalence. Optimal thresholds for defining underweight and obesity will ultimately depend on risk assessment for impaired health and early mortality.