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Abstract: The relation between fracture risk and bone mineral density (BMD) is commonly expressed as a multiplicative factor which is said to represent the increase in risk for each standard deviation fall in BMD. This practice assumes that risk increases multiplicatively with each unit fall in bone density, which is not correct. Although odds increase multiplicatively, absolute risk, which lies between 0 and 1, cannot do so though it can be derived from odds by the term Odds/(1+Odds). This concept is illustrated in a prospective study of 1098 women over age 69 followed for 6 years in a calcium trial in which hip BMD was measured in the second year. 304 Women (27.6%) had prevalent fractures and 198 (18.1%) incident fractures with a significant association between them (P 0.005). Age-adjusted hip BMD and T-score were significantly lower in those with prevalent fractures than in those without (P 0.003) and significantly lower in those with incident fractures than in those without (P 0.001). When the data were analysed by univariate logistic regression, the fracture odds at zero T-score were 0.130 and the rise in odds for each unit fall in hip T-score was 1.55. When these odds were converted to risks, there was a progressive divergence between odds and risk at T-scores below zero. Multiple logistic regression yielded significant odds ratios of 1.47 for each 5-year increase in age, 1.47 for prevalent fracture and 1.49 for each unit fall in hip T-score. Calcium therapy was not significant. Poisson regression, logistic regression and Cox''s proportional hazards yielded very similar outcomes when converted into absolute risks. A nomogram was constructed to enable clinicians to estimate the approximate 6-year fracture risk from hip T-score, age and prevalent fracture which can probably be applied (with appropriate correction) to men as well as to women. We conclude that multiplicative factors can be applied to odds but not to risk and that multipliers of risk tend to overstate the effect of continuous variables, such as age and T-score, particularly towards the end of their ranges. [Copyright &y& Elsevier]

Background: Frailty and sarcopenia are age-related conditions with shared features and are both associated with adverse health outcomes. Relatively little is known about outcomes of these conditions in combination. The aim of this study was to examine the predictive ability of combined frailty and sarcopenia classification on mortality.Methods: Frailty was measured in 716 community-dwelling adults aged ≥65 years from the North West Adelaide Health Study (mean age 74.1(6.1) years, 55.5 % female) using the frailty phenotype (FP) and sarcopenia using the revised consensus definition from the European Working Group on Sarcopenia. Participants were classified as: neither frail nor sarcopenic, frail-only, sarcopenic-only, or both frail and sarcopenic. All participants had a minimum of 10 years of mortality follow-up.Results: We identified 2.8 % of participants as both frail and sarcopenic, 15.5 % as frail-only, and 3.5 % as sarcopenic-only. Classification as both frail and sarcopenic, in a multivariable model, resulted in significantly elevated mortality risk (HR = 3.52, p < .001), which was over three times that of those neither frail nor sarcopenic. Frail-only was also a significant mortality predictor (HR = 2.03, p = .001), while classification as sarcopenic-only was not a significant predictor of mortality (HR = 1.65, p = .141). There was no significant difference in severity of frailty (mean number of characteristics) or grip strength between frail-only and those with both conditions when stratified by sex.Conclusions: Individuals identified as frail would benefit from screening and assessment for sarcopenia, and vice versa for those identified as sarcopenic, as the mortality risk for individuals with these conditions in combination is nearly double that of each separately. [ABSTRACT FROM AUTHOR]

Background: Increasingly, big data derived from administrative hospital records can be subject to analytics to provide clinical insights. The aim of this study was to determine the impact of psychiatric comorbidity on length of hospital stay and number of hospital admissions in cardiac patients utilising routinely collected hospitalisation records.Methods: We routinely collected clinical and socio-demographic variables extracted from 37,580 cardiac patients, between 18 and 65 years old, admitted to South Australian hospitals between 2001/02 to 2010/11 financial years with cardiac diagnoses used to derive patient level and separation level variables used in the modelling. Multi-level models were constructed to analyse the impact of psychiatric comorbidity on both length of stay and the total number of hospitalisations, allowing for interactions between socioeconomic status and the burden of disease. Possible confounders for these models were, sex, age, indigenous status, country of birth, and rural status.Results: For cardiac patients a mental health diagnosis was associated with an increase of 12.5% in the length of stay, and an increase in the number of stays by 20.0%.Conclusions: This study demonstrates the potential utility of routinely collected hospitalisation records to demonstrate the impact of psychiatric comorbidity on health service utilisation. [ABSTRACT FROM AUTHOR]

Excessive daytime sleepiness is an increasingly frequent condition among older adults with comorbidities and living in nursing homes (NHs). This study investigated associations between participants' characteristics and excessive daytime sleepiness (EDS); the ability of the Epworth Sleepiness Scale (ESS) scores, EDS, and EDS severity levels to predict mortality at 12 months of follow-up; and the optimal cut-off for ESS to predict mortality among NH residents. Prospective and cross-sectional analysis in a prospective study. Older adults permanently residing in 12 NHs from South Australia. Baseline characteristics including the ESS were collected and mortality at 12 months was assessed. Logistic regression analyzed associations between participants' characteristics and EDS (ESS >10). Kaplan-Meier cumulative survival estimates followed by log-rank and adjusted Cox proportional hazards models explored associations of ESS scores, EDS, and EDS severity levels with time-to-incident death. Receiver operator curve analysis assessed the best cut-off for ESS to predict mortality risk. A total of 550 participants [mean (SD) age, 87.7 (7.2) years; 968 (50.9%) female]. Malnutrition [adjusted odds ratio (aOR) 2.02, 95% confidence interval (CI) 1.13‒3.61], myocardial infarction (aOR 1.91, 95% CI 1.20‒3.03), heart failure (aOR 2.85, 95% CI 1.68‒4.83), Parkinson's disease (aOR 2.16, 95% CI 1.04‒4.47) and severe dementia (aOR 8.57, 95% CI 5.25‒14.0) were associated with EDS. Kaplan-Meier analyses showed reduced survival among participants with EDS (log-rank test: χ2 = 25.25, P <.001). EDS predicted increased mortality risk (HR 1.63, 95% CI 1.07-2.51, P =.023). ESS score of 10.5 (>10) was the best cut point predicting mortality risk (area under the curve = 0.62). EDS predicts mortality risk and is associated with age-related comorbidities in NH residents. Screening for EDS is a simple strategy to identify NH residents at higher risk of adverse outcomes, triggering an assessment for reversibility or conversations about end-of-life care. [ABSTRACT FROM AUTHOR]

To perform an umbrella review of systematic reviews with meta-analyses (MAs) examining the effectiveness of comprehensive geriatric assessment (CGA) delivered within community settings to general populations of community-dwelling older people against various health outcomes. Umbrella review of MAs of randomized controlled trials (RCTs). Systematic reviews with MAs examining associations between CGA conducted within the community and any health outcome, where participants were community-dwelling older people with a minimum mean age of 60 years or where at least 50% of study participants were aged ≥60 years. Studies focusing on residential care, hospitals, post-hospital care, outpatient clinics, emergency department, or patients with specific conditions were excluded. We examined CGA effectiveness against 12 outcomes: not living at home, nursing home admission, activities of daily living (ADLs) and instrumental ADLs (IADLs), physical function, falls, self-reported health status, quality of life, frailty, mental health, hospital admission, and mortality, searching the MEDLINE/PubMed, Cochrane Library, CINAHL, Embase databases from January 1, 1999, to August 10, 2022. AMSTAR-2 was used to assess the quality of included systematic reviews, including risk of bias. We identified 10 MAs. Only not living at home (combined mortality and nursing home admission) demonstrated concordance between effect direction, significance, and magnitude. Significant effects were more typically observed in earlier rather than later studies. Given the widespread adoption of CGA as a component of usual care within geriatric medicine, the lack of strong evidence demonstrating the protective effects of CGA may be indicative of a cohort effect. If so, future RCTs examining CGA effectiveness are unlikely to demonstrate significant findings. Future studies of CGA in the community should focus on implementation and adherence to key components. Study protocol registered in PROSPERO 2020 CRD42020169680. [ABSTRACT FROM AUTHOR]

Objective: Investigate associations of objective and subjective indicators of sleep impairment and disorders with low muscle strength (LMS) in different age groups and genders using data from a population-based cohort study.Methods: Polysomnographic and subjective sleep data from participants (aged 40-80 years) of the HypnoLaus study (Lausanne, Switzerland) were cross-sectionally analyzed. Indicators of sleep impairment and disorders were based on pre-defined cutoffs. LMS was defined according to the diagnosis of sarcopenia (grip strength <27 kg for men and <16 kg for women). Results obtained by multivariate logistic regression were controlled for confounders.Results: 1902 participants (mean [SD] age, 57.4 [10.5] years; 968 [50.9 %] female) were enrolled. Objective short (<6.2 h) and long sleep durations (>8.5 h) were associated with LMS (OR = 1.74, 95 % CI = 1.07-2.82; OR = 6.66, 95 % CI = 3.45-12.87, respectively). Increased nighttime wakefulness >90 min and severe obstructive apnea (OSA) (AHI > 30) were associated with LMS (OR = 1.60, 95 % CI = 1.01-2.56; OR = 2.36, 95 % CI = 1.29-4.31, respectively). In adults aged over 60 years, these associations persisted, and reduced sleep efficiency was associated with LMS (aOR = 1.81, 95 % CI 1.05-3.13). Objective long sleep duration was associated with LMS in both genders and severe OSA predicted LMS among women (aOR = 2.64, 95 % CI 1.11-6.24).Conclusions: Markers of early sarcopenia are affected by long sleep duration from middle age onwards in both genders. Older adults are more susceptible to the effects of other indicators of inappropriate sleep duration and quality. The findings support a potential role of sarcopenia in age-related OSA. The intricate relationships between sleep and muscle health are potential targets of public health interventions and clinical research on preventive and therapeutic strategies against the increasing morbimortality observed with ageing. [ABSTRACT FROM AUTHOR]

Many studies have demonstrated the prevalence of depression in patients with coronary artery disease (CAD), but few have examined this relation in those with chest pain who do not have obstructive CAD on angiography. The aim of this study was to compare the prevalence of depression amongst patients with chest pain in the presence or absence of obstructive CAD and a healthy control group without chest pain. This prospectively designed, observational cohort study used 2 independent data sets: (1) The Queen Elizabeth Hospital Coronary Angiogram Database (n = 1,144), consisting of 819 patients with obstructive CAD and 325 patients with nonobstructive CAD (NoCAD), all of whom had chest pain and (2) the North West Adelaide Health Study (NWAHS; n = 3,168), a population-based biomedical cohort, from which patients with chest pain were excluded. The presence of depression was determined by a previously validated method using the Short Form 36. The prevalence of depression differed among the 3 groups, with 63% in those with NoCAD, 53% in those with CAD, and only 24% in the healthy NWAHS cohort. Analysis of the angiography cohort revealed age, gender, antidepressant medication, previous myocardial infarction, previous airway disease, Short Form 36 physical summary score, Seattle Angina Questionnaire physical limitation score, and NoCAD on angiography to be independent predictors of depression. In conclusion, these findings highlight the importance of screening for depression in patients with NoCAD. [ABSTRACT FROM AUTHOR]

Objective: To examine the population distribution of different types of relationships between people with chronic conditions and their doctors that influence decisions being made from a shared-decision making perspective. Methods: A survey questionnaire based on recurring themes about the doctor/patient relationship identified from qualitative in-depth interviews with people with chronic conditions and doctors was administered to a national population sample (n =999) of people with chronic conditions. Results: Three factors explained the doctor/patient relationship. Factor 1 identified a positive partnership characteristic of involvement and shared decision-making; Factor 2 doctor-controlled relationship; Factor 3 relationship with negative dimensions. Cluster analysis identified four population groups. Cluster 1 doctor is in control (9.7% of the population); Cluster 2 ambivalent (27.6%); Cluster 3 positive long-term relationship (58.6%); Cluster 4 unhappy relationship (4.4%). The proportion of 18–34 year olds is significantly higher than expected in Cluster 4. The proportion of 65+ year olds is significantly higher than expected in Cluster 1, and significantly lower than expected in Cluster 4. Conclusion: This study adds to shared decision-making literature in that it shows in a representative sample of people with chronic illnesses how their perceptions of their experiences of the doctor–patient relationship are distributed across the population. Practice implications: Consideration needs to be given as to whether it is better to help doctors to alter their styles of interactions to suit the preferences of different patients or if it is feasible to match patients with doctors by style of decision-making and patient preference. [Copyright &y& Elsevier]

Abstract: Objective: To determine if functional health literacy (FHL) mediates the relationship between socio-economic status, and perception of the risk of lifestyle behaviors for cancer. Methods: Cross-sectional, random population survey, 2824 people aged ≥15 years, September–October 2008, included newest vital sign measure of FHL. Results: Less than adequate FHL occurred in 45.1%. People who perceived behavioral factors (smoking, diet, obesity, alcohol, physical activity) to be not important, or did not know if they were important cancer risks, were more likely to have inadequate FHL. In a logistic regression model adjusted for age, gender, education, income, occupation, country of birth and area of residence, inadequate FHL was associated with 2–3 (OR=1.9; 95% CI: 1.2–3.0) and 4 or more self-reported lifestyle risk factors (OR=2.8; 95% CI: 1.6–5.0). In a structural equation model of the relationship of socio-economic status, perceptions of risk and behaviors there was significant mediation effect of FHL on the path from SES to health perceptions, estimated 29.4% of the total effect. Conclusion: A specific focus on the literacy demands made on individuals from health promotion and materials with a view to improving health communication is indicated. Practice implications: Health literacy is important for health promotion. [Copyright &y& Elsevier]

Abstract: Background: Climate change projections have highlighted the need for public health planning for extreme heat. In Adelaide, South Australia, hot weather is characteristic of summer and heatwaves can have a significant health burden. This study examines the heat thresholds and temperature relationships for mortality and morbidity outcomes in Adelaide. Methods: Daily maximum and minimum temperatures, daily mortality, ambulance call-outs, emergency department (ED) presentations and hospital admissions were obtained for Adelaide, between 1993 and 2009. Heat thresholds for health outcomes were estimated using an observed/expected analysis. Generalized estimating equations were used to estimate the percentage increase in mortality and morbidity outcomes above the threshold temperatures, with adjustment for the effects of ozone (O3) and particulate matter<10μm in mass median aerodynamic diameter (PM10). Effect estimates are reported as incidence rate ratios (IRRs). Results: Heat-related mortality and morbidity become apparent above maximum and minimum temperature thresholds of 30°C and 16°C for mortality; 26°C and 18°C for ambulance call-outs; and 34°C and 22°C for heat-related ED presentations. Most health outcomes showed a positive relationship with daily temperatures over thresholds. When adjusted for air pollutants, a 10°C increase in maximum temperature was associated with a 4.9% increase in daily ambulance call-outs (IRR 1.049; 95% CI 1.027–1.072), and a 3.4% increase in mental health related hospital admissions (IRR 1.034; 95% CI 1.009–1.059) for the all-age population. Heat-related ED presentations increased over 6-fold per 10°C increase in maximum temperature. Daily temperatures were also associated with all-cause and mental health related ED presentations. Associations between temperature over thresholds and daily mortality and renal hospital admissions were not significant when adjusted for ozone and PM10; however at extreme temperatures mortality increased significantly with increasing heat duration. Conclusions: Heat-attributable mortality and morbidity are associated with elevated summer temperatures in Adelaide, particularly ambulance call-outs, mental health and heat-related illness. [Copyright &y& Elsevier]