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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    Total Antioxidant Capacity and Frailty in Older Men
    Tembo, MC ; Holloway-Kew, KL ; Bortolasci, CC ; Sui, SX ; Brennan-Olsen, SL ; Williams, LJ ; Kotowicz, MA ; Pasco, JA (SAGE PUBLICATIONS INC, 2020-09)
    Frailty, a clinical syndrome characterized by multisystem dysregulation, has been associated with high levels of oxidative stress. We investigated the association between serum total antioxidant capacity (TAC) and frailty in older men. This cross-sectional study included 581 men (age 60-90 years) enrolled in the Geelong Osteoporosis Study. Frailty comprised at least three of unintentional weight loss, exhaustion, low physical activity, slowness, and weakness. Serum TAC was measured by quantitative colorimetric determination and expressed as uric acid equivalents (mM). Relationships between TAC (in SD units) and frailty were explored using multivariable logistic regression models. Sociodemographic, anthropometric, and lifestyle variables were tested as potential confounders and effect modifiers. A sensitivity analysis excluded participants (n = 145) in the upper quartile of TAC, who were likely to have hyperuricemia. Fifty (8.6%) men were frail. There was evidence that higher TAC levels were associated with increased likelihood of frailty (OR 1.34, 95% confidence interval [CI; 0.99, 1.80]), and this was attenuated after adjustment for age and body mass index (BMI; OR 1.26, 95% CI [0.93,1.71]). No effect modifiers or other confounders were identified. The sensitivity analysis revealed a positive association between TAC and frailty, before and after accounting for age and BMI (adjusted OR 1.79, 95% CI [1.01, 3.17] p = .038). These results suggest a positive association between TAC levels and frailty, supporting the hypothesis that this biomarker could be useful in identifying individuals at risk of frailty. We speculate that a milieu of heightened oxidative stress in frailty may elevate the oxidative stress regulatory set point, raising antioxidant activity. This warrants further investigation.
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    Bone health in bipolar disorder: a study protocol for a case-control study in Australia
    Williams, LJ ; Stuart, AL ; Berk, M ; Brennan-Olsen, SL ; Hodge, JM ; Cowdery, S ; Chandrasekaran, V ; Pasco, JA (BMJ PUBLISHING GROUP, 2020-02)
    INTRODUCTION: Little is known about the bone health of adults with bipolar disorder, aside from evidence purporting bone deficits among individuals with other mental illnesses, or those taking medications commonly used in bipolar disorder. In this paper, we present the methodology of a case-control study which aims to examine the role of bipolar disorder as a risk factor for bone fragility. METHODS AND ANALYSIS: Men and women with bipolar disorder (~200 cases) will be recruited and compared with participants with no history of bipolar disorder (~1500 controls) from the Geelong Osteoporosis Study. Both cases and controls will be drawn from the Barwon Statistical Division, south-eastern Australia. The Structured Clinical Interview for DSM-IV-TR Research Version, Non-patient edition is the primary diagnostic instrument, and psychiatric symptomatology will be assessed using validated rating scales. Demographic information and detailed lifestyle data and medical history will be collected via comprehensive questionnaires. Participants will undergo dual energy X-ray absorptiometry scans and other clinical measures to determine bone and body composition. Blood samples will be provided after an overnight fast and stored for batch analysis. ETHICS AND DISSEMINATION: Ethics approval has been granted from Barwon Health Research Ethics Committee. Participation in the study is voluntary. The study findings will be disseminated via peer-reviewed publications, conference presentations and reports to the funding body.
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    The association between a fracture risk tool and frailty: Geelong Osteoporosis Study
    Tembo, MC ; Holloway-Kew, KL ; Mohebbi, M ; Sui, SX ; Hosking, SM ; Brennan-Olsen, SL ; Williams, LJ ; Kotowicz, MA ; Pasco, JA (BMC, 2020-06-05)
    BACKGROUND: Frailty is characterised by age-related declines in physical, psychological and social functioning. Features of frailty overlap with risk factors for fragility fractures. The aim of this study was to investigate the association between the fracture risk assessment tool (FRAX®) and frailty. METHODS: In cross-sectional analysis, frailty status was determined for participants aged 60-90 yr at 15-year follow-up of the Geelong Osteoporosis Study, using a modified Fried frailty phenotype. Using the FRAX on-line tool, scores for hip and major osteoporotic fracture (MOF) were calculated with and without bone mineral density (BMD). Using the area under Receiver Operating Characteristic (AUROC) curves, and FRAX scores calculated at the baseline visit for these participants, we investigated the association of FRAX and frailty 15 years later. RESULTS: Forty-seven of 303 women (15.5%) and 41 of 282 men (14.5%) were frail at the 15-year visit. There was a gradient of increasing median FRAX scores from robust to frail. For example, for women, median MOF-FRAX without BMD increased from 5.9 for the robust to 7.5 for the pre-frail and 14.0 for the frail (p < 0.001). In secondary analyses, an association was observed between FRAX and frailty over 15 years, with the highest AUROC for women being 0.72 for MOF-FRAX with BMD, and for men, 0.76 hip-FRAX without BMD. CONCLUSION: An association was observed between FRAX and frailty where frail men and women had higher FRAX-scores compared to the other groups. Preliminary data suggest that FRAX, with or without BMD, may be useful in enhancing the information on frailty. Further research using larger datasets will be required to explore this.