Medicine (Western Health) - Research Publications

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    Bipolar disorder and bone health: A case-control study
    Williams, LJ ; Stuart, AL ; Berk, M ; Brennan-Olsen, SL ; Hodge, JM ; Quirk, SE ; Koivumaa-Honkanen, H ; Honkanen, R ; Heikkinen, J ; Chandrasekaran, V ; Cleminson, JR ; Pasco, JA (ELSEVIER, 2022-07-01)
    BACKGROUND: Bipolar disorder (BD) is associated with significant psychological and physical comorbidity. Yet little is known about the bone health of individuals with BD. Thus, we aimed to investigate the association between BD and bone health in a population-based sample of women. METHODS: Women with a history of BD (cases; n = 117) were recruited from public and private health care settings and controls, without BD, were drawn from the Geelong Osteoporosis Study (n = 909). BD was identified using a semi-structured clinical interview (SCID-I/NP). Bone mineral density (BMD) was measured at the spine, femoral neck and total body using dual energy x-ray absorptiometry, and bone quality by quantitative heel ultrasound and included the following parameters: Speed of Sound (SOS), Broadband Ultrasound Attenuation (BUA) and Stiffness Index (SI). Weight and height were measured and information on medication use and lifestyle was obtained. RESULTS: Adjusted mean BMD among the cases was 4.3% lower at the hip and 1.6% lower at the total body compared to controls. Age was an effect modifier at the spine. Among women <50 years, mean spine BMD for cases was 3.5% lower than controls. No differences in spine BMD for those ≥50 years were detected. Cases also had a 1.0%, 3.2% and 7.8% lower adjusted mean SOS, BUA and SI compared to controls, respectively. LIMITATIONS: Course, chronicity and recovery of BD were not explored in relation to bone health. CONCLUSION: These data suggest BD is associated with low bone quantity and quality in women. Replication and research into underlying mechanisms is warranted.
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    Anticonvulsant use and fracture: a case-control study
    Chandrasekaran, V ; Stuart, AL ; Pasco, JA ; Brennan-Olsen, SL ; Berk, M ; Hodge, JM ; Samarasinghe, RM ; Williams, LJ (JMNI, 2021-09)
    OBJECTIVES: We aimed to investigate fracture risk associated with anticonvulsant use in a population-based sample of men and women. METHODS: Data from 1,458 participants (51.8% women) with a radiologically confirmed incident fracture (cases) were compared to 1,796 participants (46.5% women) without fracture (controls). Lifestyle factors, medication use and medical history were self-reported. Associations between anticonvulsant use and fracture were explored using binary logistic regression following adjustment for confounders. RESULTS: In men, fracture cases and controls differed in age, smoking history, education, alcohol use, and gonadal hormone supplementation. In women, fracture cases and controls differed by previous fracture history, alcohol use, physical activity levels and use of anti-fracture agents. After adjustment for age, pooled anticonvulsant use was associated with a 3.4-fold higher risk of fracture in men and a 1.8-fold higher risk in women. Following further adjustments for confounders these patterns persisted; a 2.8-fold higher fracture risk in men and a 1.8-fold higher fracture risk in women. CONCLUSIONS: Anticonvulsant use was associated with increased fracture risk, independent of demographic, lifestyle, medical and medication related factors. While further studies exploring potential underlying mechanisms are warranted, regular monitoring of bone health in anticonvulsant users with risk factors may be useful.
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    The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
    Tembo, MC ; Mohebbi, M ; Holloway-Kew, KL ; Gaston, J ; Sui, SX ; Brennan-Olsen, SL ; Williams, LJ ; Kotowicz, MA ; Pasco, JA (BMC, 2021-11-01)
    BACKGROUND: Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. METHODS: Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1-78.6) and 71.0 (65.2-77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1-2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. RESULTS: Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53-1.01; OR=0.48, 0.34-0.68; and OR = 0.11, 0.06-0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20-0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20-0.45; OR = 0.56, 0.40-0.80, respectively). CONCLUSION: Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty.
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    The Role of Health Literacy in the Treatment of Osteoporosis
    Hosking, SM ; Buchbinder, R ; Pasco, JA ; Williams, LJ ; Brennan-Olsen, SL (WILEY, 2016-10)
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    The Microbiome: A Biological Mechanism Underpinning the Social Gradient of Musculoskeletal Conditions?
    Brennan-Olsen, SL ; Pasco, JA ; Williams, LJ ; Hyde, NK ; Jacka, FN (WILEY, 2016-06)
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    Vitamin D during pregnancy and offspring body composition: a prospective cohort study
    Hyde, NK ; Brennan-Olsen, SL ; Wark, JD ; Hosking, SM ; Holloway-Kew, KL ; Pasco, JA (WILEY, 2018-08)
    BACKGROUND: Evidence regarding the association between gestational vitamin D status and offspring body composition during childhood is inconsistent. Therefore, we aimed to determine the association between maternal vitamin D and offspring lean and fat mass in the Vitamin D in Pregnancy birth cohort. METHODS: Subjects were mother-child pairs recruited from the Australian-based Vitamin D in Pregnancy cohort study. Mothers were recruited before 16 weeks' gestation and provided a blood sample at both recruitment and at 28-32 weeks' gestation. Serum vitamin D [25(OH)D] was measured by radioimmunoassay (Tyne and Wear, UK). Offspring lean and fat mass were quantified by using dual-energy X-ray absorptiometry (GE Lunar Prodigy, Madison, WI, USA) at 11 years of age. RESULTS: Median maternal 25(OH)D levels were 55.9 (42.2-73.3) and 56.1 (43.6-73.9) at recruitment and 28-32 weeks' gestation, respectively. Maternal smoking was identified as an effect modifier in the association between maternal vitamin D status at recruitment and offspring body composition. In smokers, but not non-smokers, serum 25(OH)D status at recruitment was negatively associated with offspring fat mass percentage and positively associated with lean mass (both p < 0.05). There was no association with 25(OH)D status at 28-32 weeks' gestation. CONCLUSIONS: Maternal vitamin D status in early pregnancy, in smokers, is associated with offspring body composition. These important findings warrant confirmation in larger studies and trials.
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    Associations between asthma status and radiologically confirmed fracture in children: A data-linkage study
    Degabriele, EL ; Holloway, KL ; Pasco, JA ; Hyde, NK ; Vuillermin, PJ ; Williams, LJ ; Brennan-Olsen, SL (WILEY, 2018-08)
    AIM: World-wide, approximately 14% of children have prevalent asthma. As most bone accrual occurs in childhood, and data suggest a detrimental role in bone from asthma and/or medications, we investigated whether asthma was associated with radiologically confirmed fractures in a large cohort of children. METHODS: Data from the Barwon Asthma Study (2005), a population-based, cross-sectional survey of all children attending 91 primary schools in the Barwon Statistical Division, were linked to the Geelong Osteoporosis Study Fracture Grid (2006-2007), a fracture register encompassing the Barwon Statistical Division (n = 16 438; 50.5% boys; aged 3.5-13.6 years). Asthma, ascertained from parent-reported symptoms using the International Study of Asthma and Allergies in Childhood questionnaire, was categorised as: (i) recent wheeze; and number of (ii) recent wheezy episodes; (iii) doctor visits for wheeze symptoms; and (iv) doctor visits for asthma check-ups. Using logistic regression analyses, stratified by sex and adjusted for age and medication use, we determined whether asthma was associated with radiologically confirmed fractures. RESULTS: In total, 961 fractures were observed among 823 Barwon Asthma Study participants (5.9% of total sample; 61.1% boys). Recent wheeze and 1-3 recent wheezy episodes were associated with increased odds of fracture in boys (odds ratio (OR) 1.26, 95% confidence interval (CI) 1.03-1.55; OR 1.40, 95% CI 1.12-1.77, respectively), but not girls (OR 1.03, 95% CI 0.78-1.37; OR 0.67, 95% CI 0.38-1.19). Results were independent of age, and sustained after adjustment for medication. CONCLUSIONS: Independent of age, asthma was associated with fracture for boys, but not girls. There is an imperative for strategies to promote bone health among children with asthma.
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    Health literacy in a population-based sample of Australian women: a cross-sectional profile of the Geelong Osteoporosis Study
    Hosking, SM ; Brennan-Olsen, SL ; Beauchamp, A ; Buchbinder, R ; Williams, LJ ; Pasco, JA (BMC, 2018-07-13)
    BACKGROUND: The term health literacy refers to the abilities and resources required to find, understand and use health information in managing health. This definition is reflected in the recent development of multidimensional health literacy tools that measure multiple facets of health literacy. The aim of this study was to determine the health literacy profile of a randomly selected, population-based sample of Australian women using a multidimensional tool, the Health Literacy Questionnaire (HLQ). A second aim was to investigate associations between independent HLQ scales, sociodemographic characteristics and lifestyle and anthropometric risk factors for chronic disease. METHODS: We surveyed women involved in the Geelong Osteoporosis Study (GOS), a longitudinal, population-based study. We included demographic data, lifestyle information and anthropometric measures as well as the HLQ. The HLQ has 44 items, scored on either 4- or 5-point scales, within nine conceptually distinct scales. Means for each scale were calculated, and HLQ scales were regressed on educational level and socioeconomic status. Risk factors for chronic disease were investigated using analysis of variance (ANOVA) and calculation of effect sizes. RESULTS: Higher mean scores were seen for the scales 'Feeling understood and supported by healthcare professionals' (mean 3.20, ± SD 0.52) and 'Understanding health information well enough to know what to do' (mean 4.28, ±SD 0.54), and lower mean scores were seen for 'Appraisal of health information' (mean 2.81, ±SD 0.48) and 'Navigating the healthcare system' (mean 4.09, ± SD 0.57). Associations were also seen between lower HLQ scores and poor health behaviours including smoking and being more sedentary, in addition to greater body mass index and waist circumference. Positive gradients were seen between several HLQ scales and education level, as well as SES. For some HLQ scales, these associations were non-linear. CONCLUSIONS: The profile of this population-based cohort of women demonstrated associations between low health literacy and low SES, lower levels of education, increasing age, and anthropometric and lifestyle risk factors for chronic disease. These findings suggest implications of health literacy for health policy makers focusing on improving lifestyle prevention of chronic disease and promoting health equity at a population level.
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    Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data
    Pasco, JA ; Nicholson, GC ; Brennan, SL ; Kotowicz, MA ; Wang, G (PUBLIC LIBRARY SCIENCE, 2012-01-13)
    BACKGROUND: Anthropometric measures such as the body mass index (BMI) and waist circumference are widely used as convenient indices of adiposity, yet there are limitations in their estimates of body fat. We aimed to determine the prevalence of obesity using criteria based on the BMI and waist circumference, and to examine the relationship between the BMI and body fat. METHODOLOGY/PRINCIPAL FINDINGS: This population-based, cross-sectional study was conducted as part of the Geelong Osteoporosis Study. A random sample of 1,467 men and 1,076 women aged 20-96 years was assessed 2001-2008. Overweight and obesity were identified according to BMI (overweight 25.0-29.9 kg/m²; obesity ≥30.0 kg/m²) and waist circumference (overweight men 94.0-101.9 cm; women 80.0-87.9 cm; obesity men ≥102.0 cm, women ≥88.0 cm); body fat mass was assessed using dual energy X-ray absorptiometry; height and weight were measured and lifestyle factors documented by self-report. According to the BMI, 45.1% (95%CI 42.4-47.9) of men and 30.2% (95%CI 27.4-33.0) of women were overweight and a further 20.2% (95%CI 18.0-22.4) of men and 28.6% (95%CI 25.8-31.3) of women were obese. Using waist circumference, 27.5% (95%CI 25.1-30.0) of men and 23.3% (95%CI 20.8-25.9) of women were overweight, and 29.3% (95%CI 26.9-31.7) of men and 44.1% (95%CI 41.2-47.1) of women, obese. Both criteria indicate that approximately 60% of the population exceeded recommended thresholds for healthy body habitus. There was no consistent pattern apparent between BMI and energy intake. Compared with women, BMI overestimated adiposity in men, whose excess weight was largely attributable to muscular body builds and greater bone mass. BMI also underestimated adiposity in the elderly. Regression models including gender, age and BMI explained 0.825 of the variance in percent body fat. CONCLUSIONS/SIGNIFICANCE: As the BMI does not account for differences in body composition, we suggest that gender- and age-specific thresholds should be considered when the BMI is used to indicate adiposity.
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    Does an increase in body mass index over 10 years affect knee structure in a population-based cohort study of adult women?
    Brennan, SL ; Cicuttini, FM ; Pasco, JA ; Henry, MJ ; Wang, Y ; Kotowicz, MA ; Nicholson, GC ; Wluka, A (BMC, 2010)
    INTRODUCTION: Although obesity is a modifiable risk factor for knee osteoarthritis (OA), the effect of weight gain on knee structure in young and healthy adults has not been examined. The aim of this study was to examine the relationship between body mass index (BMI), and change in BMI over the preceding 10-year period, and knee structure (cartilage defects, cartilage volume and bone marrow lesions (BMLs)) in a population-based sample of young to middle-aged females. METHODS: One hundred and forty-two healthy, asymptomatic females (range 30 to 49 years) in the Barwon region of Australia, underwent magnetic resonance imaging (MRI) during 2006 to 2008. BMI measured 10 years prior (1994 to 1997), current BMI and change in BMI (accounting for baseline BMI) over this period, was assessed for an association with cartilage defects and volume, and BMLs. RESULTS: After adjusting for age and tibial plateau area, the risk of BMLs was associated with every increase in one-unit of baseline BMI (OR 1.14 (95% CI 1.03 to 1.26) P = 0.009), current BMI (OR 1.13 (95% CI 1.04 to 1.23) P = 0.005), and per one unit increase in BMI (OR 1.14 (95% CI 1.03 to 1.26) P = 0.01). There was a trend for a one-unit increase in current BMI to be associated with increased risk of cartilage defects (OR 1.06 (95% CI 1.00 to 1.13) P = 0.05), and a suggestion that a one-unit increase in BMI over 10 years may be associated with reduced cartilage volume (-17.8 ml (95% CI -39.4 to 3.9] P = 0.10). Results remained similar after excluding those with osteophytes. CONCLUSIONS: This study provides longitudinal evidence for the importance of avoiding weight gain in women during early to middle adulthood as this is associated with increased risk of BMLs, and trend toward increased tibiofemoral cartilage defects. These changes have been shown to precede increased cartilage loss. Longitudinal studies will show whether avoiding weight gain in early adulthood may play an important role in diminishing the risk of knee OA.