Patient Self-Assessment of Walking Ability and Fracture Risk in Older Australian Adults.

Importance: The relationship between self-reported walking limitation, a proxy of muscle function, and fracture risk has not been investigated. Objective: To examine the association between a self-reported walking limitation of 1000 m or less and 5-year risk of fracture. Design, Setting, and Participants: This prospective cohort study compared individuals with various degrees of walking ability limitation at 1000 m (a little limitation and a lot of limitation) and those without limitation (no limitation) accounting for age, falls, prior fractures, and weight. Participants from the ongoing population-based Sax Institute 45 and Up Study were followed from recruitment (2005-2008) for 5 years (2010-2013). Data analysis was conducted from July 2020 to September 2023. Exposure: Self-reported walking limitation. Main Outcomes and Measures: Incident fracture and site-specific fractures (hip, vertebral, and nonhip nonvertebral [NHNV] fractures). Results: Among the 266 912 participants enrolled in the 45 and Up Study, 238 969 were included, with 126 015 (53%) women (mean [SD] age, 63 [11] years) and 112 954 (47%) men (mean [SD] age, 61 [11] years). Approximately 20% reported a degree of limitation in walking 1000 m or less at baseline (39 324 women [24%]; 23 191 men [21%]). During a mean (SD) follow-up of 4.1 (0.8) years, 7190 women and 4267 men experienced an incident fracture. Compared with participants who reported no walking limitations, a little limitation and a lot of limitation were associated with higher risk of fracture (a little limitation among women: hazard ratio [HR], 1.32; 95% CI, 1.23-1.41; a little limitation among men: HR, 1.46; 95% CI, 1.34-1.60; a lot of limitation among women: HR, 1.60; 95% CI, 1.49-1.71; a lot of limitation among men: HR, 2.03; 95% CI, 1.86-2.22). Approximately 60% of fractures were attributable to walking limitation. The association was significant for hip, vertebral, and NHNV fracture and ranged between a 21% increase to a greater than 219% increase. Conclusions and Relevance: In this cohort study of 238 969 participants, self-reported walking limitations were associated with increased risk of fracture. These findings suggest that walking ability should be sought by clinicians to identify high-risk candidates for further assessment.

Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review.

BACKGROUND: Overadjustment bias occurs when researchers adjust for an explanatory variable on the causal pathway from exposure to outcome, which leads to biased estimates of the causal effect of the exposure. This meta-research review aimed to examine how previous systematic reviews and meta-analyses of socio-economic inequalities in health have managed overadjustment bias. METHODS: We searched Medline and Embase until 16 April 2021 for systematic reviews and meta-analyses of observational studies on associations between individual-level socio-economic position and health outcomes in any population. A set of criteria were developed to examine methodological approaches to overadjustment bias adopted by included reviews (rated Yes/No/Somewhat/Unclear). RESULTS: Eighty-four reviews were eligible (47 systematic reviews, 37 meta-analyses). Regarding approaches to overadjustment, whereas 73% of the 84 reviews were rated as Yes for clearly defining exposures and outcomes, all other approaches were rated as Yes for <55% of reviews; for instance, 5% clearly defined confounders and mediators, 2% constructed causal diagrams and 35% reported adjusted variables for included studies. Whereas only 2% included overadjustment in risk of bias assessment, 54% included confounding. Of the 37 meta-analyses, 16% conducted sensitivity analyses related to overadjustment. CONCLUSIONS: Our findings suggest that overadjustment bias has received insufficient consideration in systematic reviews and meta-analyses of socio-economic inequalities in health. This is a critical issue given that overadjustment bias is likely to result in biased estimates of health inequalities and accurate estimates are needed to inform public health interventions. There is a need to highlight overadjustment bias in review guidelines.

Five-Year Trajectories of Prescription Opioid Use.

Importance: There are known risks of using opioids for extended periods. However, less is known about the long-term trajectories of opioid use following initiation. Objective: To identify 5-year trajectories of prescription opioid use, and to examine the characteristics of each trajectory group. Design, Setting, and Participants: This population-based cohort study conducted in New South Wales, Australia, linked national pharmaceutical claims data to 10 national and state data sets to determine sociodemographic characteristics, clinical characteristics, drug use, and health services use. The cohort included adult residents (aged ≥18 years) of New South Wales who initiated a prescription opioid between July 1, 2003, and December 31, 2018. Statistical analyses were conducted from February to September 2022. Exposure: Dispensing of a prescription opioid, with no evidence of opioid dispensing in the preceding 365 days, identified from pharmaceutical claims data. Main Outcomes and Measures: The main outcome was the trajectories of monthly opioid use over 60 months from opioid initiation. Group-based trajectory modeling was used to classify these trajectories. Linked health care data sets were used to examine characteristics of individuals in different trajectory groups. Results: Among 3 474 490 individuals who initiated a prescription opioid (1 831 230 females [52.7%]; mean [SD] age, 49.7 [19.3] years), 5 trajectories of long-term opioid use were identified: very low use (75.4%), low use (16.6%), moderate decreasing to low use (2.6%), low increasing to moderate use (2.6%), and sustained use (2.8%). Compared with individuals in the very low use trajectory group, those in the sustained use trajectory group were older (age ≥65 years: 22.0% vs 58.4%); had more comorbidities, including cancer (4.1% vs 22.2%); had increased health services contact, including hospital admissions (36.9% vs 51.6%); had higher use of psychotropic (16.4% vs 42.4%) and other analgesic drugs (22.9% vs 47.3%) prior to opioid initiation, and were initiated on stronger opioids (20.0% vs 50.2%). Conclusions and relevance: Results of this cohort study suggest that most individuals commencing treatment with prescription opioids had relatively low and time-limited exposure to opioids over a 5-year period. The small proportion of individuals with sustained or increasing use was older with more comorbidities and use of psychotropic and other analgesic drugs, likely reflecting a higher prevalence of pain and treatment needs in these individuals.

What guides back pain care? A content analysis of low back pain directives in the Australian context.

BACKGROUND: Low back pain (LBP) is a major cause of disease burden around the world. There is known clinical variation in how LBP is treated and addressed; with one cited reason the lack of availability, or use of, evidence-based guidance for clinicians, consumers, and administrators. Despite this a considerable number of policy directives such as clinical practice guidelines, models of care and clinical tools with the aim of improving quality of LBP care do exist. Here we report on the development of a repository of LBP directives developed in the Australian health system and a content analysis of those directives aimed at deepening our understanding of the guidance landscape. Specifically, we sought to determine: (1) What is the type, scale, and scope of LBP directives available? (2) Who are the key stakeholders that drive low back pain care through directives? (3) What content do they cover? (4) What are their gaps and deficiencies? METHODS: We used online web search and snowballing methods to collate a repository of LBP policy documents collectively called 'directives' including Models of Care (MOC), information sheets, clinical tools, guidelines, surveys, and reports, from the last 20 years. The texts of the directives were analysed using inductive qualitative content analysis adopting methods from descriptive policy content analysis to categorise and analyse content to determine origins, actors, and themes. RESULTS: Eighty-four directives were included in our analysis. Of those, 55 were information sheets aimed at either healthcare providers or patients, nine were clinical tools, three were reports, four were guidelines, four were MOC, two were questionnaires and five were referral forms/criteria. The three main categories of content found in the directives were 1. Low back pain features 2. Standards for clinical encounters and 3. Management of LBP, each of which gave rise to different themes and subthemes. Universities, not-for-profit organizations, government organisations, hospitals/Local Health Districts, professional organisations, consumers, and health care insurers were all involved in the production of policy directives. However, there were no clear patterns of roles, responsibilities or authority between these stakeholder groups. CONCLUSION: Directives have the potential to inform practice and to contribute to reducing evidence-policy-practice discordance. Documents in our repository demonstrate that while a range of directives exist across Australia, but the evidence base for many was not apparent. Qualitative content analysis of the directives showed that while there has been increasing attention given to models of care, this is not yet reflected in directives, which generally focus on more specific elements of LBP care at the individual patient and practitioner level. The sheer number and variety of directives, from a wide range of sources and various locations within the Australian health system suggests a fragmented policy landscape without clear authoritative sources. There is a need for clearer, easily accessible trustworthy policy directives that are regularly reviewed and that meet the needs of care providers, and information websites need to be evaluated regularly for their evidence-based nature and quality.

Cohort profile: POPPY II - a population-based cohort examining the patterns and outcomes of prescription opioid use in New South Wales, Australia.

PURPOSE: The POPPY II cohort is an Australian state-based cohort linking data for a population of individuals prescribed opioid medicines, constructed to allow a robust examination of the long-term patterns and outcomes of prescription opioid use. PARTICIPANTS: The cohort includes 3 569 433 adult New South Wales residents who initiated a subsidised prescription opioid medicine between 2003 and 2018, identified through pharmacy dispensing data (Australian Pharmaceutical Benefits Scheme) and linked to 10 national and state datasets and registries including rich sociodemographic and medical services data. FINDINGS TO DATE: Of the 3.57 million individuals included in the cohort, 52.7% were female and 1 in 4 people were aged ≥65 years at the time of cohort entry. Approximately 6% had evidence of cancer in the year prior to cohort entry. In the 3 months prior to cohort entry, 26.9% used a non-opioid analgesic and 20.5% used a psychotropic medicine. Overall, 1 in 5 individuals were initiated on a strong opioid (20.9%). The most commonly initiated opioid was paracetamol/codeine (61.3%), followed by oxycodone (16.3%). FUTURE PLANS: The POPPY II cohort will be updated periodically, both extending the follow-up duration of the existing cohort, and including new individuals initiating opioids. The POPPY II cohort will allow a range of aspects of opioid utilisation to be studied, including long-term trajectories of opioid use, development of a data-informed method to assess time-varying opioid exposure, and a range of outcomes including mortality, transition to opioid dependence, suicide and falls. The duration of the study period will allow examination of population-level impacts of changes to opioid monitoring and access, while the size of the cohort will also allow examination of important subpopulations such as people with cancer, musculoskeletal conditions or opioid use disorder.

Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer.

Obtaining accurate estimates of the causal effects of socioeconomic position (SEP) on health is important for public health interventions. To do this, researchers must identify and adjust for all potential confounding variables, while avoiding inappropriate adjustment for mediator variables on a causal pathway between the exposure and outcome. Unfortunately, 'overadjustment bias' remains a common and under-recognized problem in social epidemiology. This paper offers an introduction on selecting appropriate variables for adjustment when examining effects of SEP on health, with a focus on overadjustment bias. We discuss the challenges of estimating different causal effects including overadjustment bias, provide guidance on overcoming them, and consider specific issues including the timing of variables across the life-course, mutual adjustment for socioeconomic indicators, and conducting systematic reviews. We recommend three key steps to select the most appropriate variables for adjustment. First, researchers should be clear about their research question and causal effect of interest. Second, using expert knowledge and theory, researchers should draw causal diagrams representing their assumptions about the interrelationships between their variables of interest. Third, based on their causal diagram(s) and causal effect(s) of interest, researchers should select the most appropriate set of variables, which maximizes adjustment for confounding while minimizing adjustment for mediators.

Health and service needs, priorities and initiatives of primary health networks related to chronic pain.

BACKGROUND: Chronic pain is a major and growing public health issue. Multidisciplinary tertiary pain services cannot meet patient demand and greater involvement of primary care is needed. The aims of this study were to understand the needs and priorities of Australian primary health networks (PHNs) related to the management and secondary prevention of chronic pain; map current PHN chronic pain initiatives and identify gaps; highlight key enablers to implementation; and highlight solutions identified by PHNs to increase capacity to commission initiatives. METHODS: Mixed methods were used, including: a review of PHN needs assessments; and consultation with PHN executive-level staff and program managers from 27 out of the 28 PHNs, and the WA Primary Health Alliance (WAPHA - a state alliance between three Western Australian PHNs) via telephone interviews, online surveys, a workshop, a deliberative dialogue and email consultation. RESULTS: Chronic pain was identified as a health and/or service need by approximately half of PHNs. Barriers for PHNs to identifying chronic pain as a need or priority are highlighted. Gaps identified by the mapping included: initiatives related to the secondary prevention of chronic pain (post-surgery or post-injury), digitally enabled consumer and health professional chronic pain initiatives, and chronic pain initiatives for specific populations groups such as Aboriginal and Torres Strait Islander people. Among existing PHN practice, two exemplar evidence-based initiatives suitable for scale-up across PHNs in Australia were identified: multidisciplinary community-based pain programs, and an online health professional capacity-building initiative, Project ECHO (chronic pain). Solutions identified by PHNs to increase capacity to commission initiatives included: co-funding initiatives across different PHN funding streams, collaborative initiatives between PHNs, and co-commissioning with government and non-government partners. CONCLUSIONS: Chronic pain has been classified as a disease in itself through the World Health Organization. PHNs recognising chronic pain as a distinct condition in PHN needs analysis and data collection would lead to more dedicated funding. PHNs could do more to improve the secondary prevention and management of chronic pain. A self-identified need for greater collaboration across PHNs and co-commissioning with local and state governments and non-government partners would help to build PHN capacity.

Disability burden due to musculoskeletal conditions and low back pain in Australia: findings from GBD 2019.

BACKGROUND: To report the national prevalence, years lived with disability (YLDs) and attributable risk factors for all musculoskeletal conditions and separately for low back pain (LBP), as well as compare the disability burden related to musculoskeletal with other health conditions in Australia in 2019. METHODS: Global Burden of Disease (GBD) 2019 study meta-data on all musculoskeletal conditions and LBP specifically were accessed and aggregated. Counts and age-standardised rates, for both sexes and across all ages, for prevalence, YLDs and attributable risk factors are reported. RESULTS: In 2019, musculoskeletal conditions were estimated to be the leading cause of YLDs in Australia (20.1%). There were 7,219,894.5 (95% UI: 6,847,113-7,616,567) prevalent cases of musculoskeletal conditions and 685,363 (95% UI: 487,722-921,471) YLDs due to musculoskeletal conditions. There were 2,676,192 (95% UI: 2,339,327-3,061,066) prevalent cases of LBP and 298,624 (95% UI: 209,364-402,395) YLDs due to LBP. LBP was attributed to 44% of YLDs due to musculoskeletal conditions. In 2019, 22.3% and 39.8% of YLDs due to musculoskeletal conditions and LBP, respectively, were attributed to modifiable GBD risk factors. CONCLUSIONS: The ongoing high burden due to musculoskeletal conditions impacts Australians across the life course, and in particular females and older Australians. Strategies for integrative and organisational interventions in the Australian healthcare system should support high-value care and address key modifiable risk factors for disability such as smoking, occupational ergonomic factors and obesity.

Socioeconomic Inequalities in Elective and Nonelective Hospitalizations in Older Men.

Importance: Among older adults, there is limited and inconsistent evidence on the association between socioeconomic position (SEP) and elective and nonelective hospitalization. Objective: To evaluate the association between SEP and all-cause and cause-specific elective and nonelective hospitalization and hospital length of stay among older men. Design, Setting, and Participants: This population-based, prospective cohort study used data from the Concord Health and Aging in Men Project (CHAMP). CHAMP recruited 1705 men aged 70 years or older between January 28, 2005, and June 4, 2007, in Sydney, Australia. Data were analyzed from February 1 to September 30, 2021. Exposures: Indicators of SEP, including education (university degree certificate, diploma or no postschool qualifications), occupation (professionals and managers; small employers and self-employed; or lower clerical, service, sales workers, skilled, and unskilled workers), and source of income (other sources of income than government pension, reliance on government pensions and other sources of income, or reliant solely on a government pension), and a cumulative SEP score (tertiles) as SEP indicators; 3-level variables present high, intermediate, and low SEP. Main Outcomes and Measures: All-cause and cause-specific elective and nonelective hospitalizations, number of hospitalizations, and length of stay were the study outcomes, ascertained through data linkage. Associations were quantified using competing-risks survival regression and negative binomial regression. Results: A total of 1566 men (mean [SD] age, 76.8 [5.4] years) were included. During a mean (SD) 9.07 (3.53) years of follow-up, 1067 men had at least 1 elective hospitalization, and 1255 men had at least 1 nonelective hospitalization. No associations were found between SEP and elective hospitalizations. Being in the lowest tertile for educational level (subhazard ratio [SHR], 1.32; 95% CI, 1.11-1.58), occupational position (SHR, 1.30; 95% CI, 1.12-1.50), sources of income (SHR, 1.33; 95% CI, 1.17-1.52), and cumulative SEP tertile groups (SHR, 1.45; 95% CI, 1.24-1.68) were all associated with having at least 1 nonelective hospitalization compared with those in the highest tertiles. Significant associations were found between being in the lowest SEP groups and increased numbers and longer length of stay of nonelective hospitalizations. Conclusions and Relevance: In this prospective cohort study, low SEP was inversely associated with nonelective hospitalizations but not elective hospitalization in older men in Australia. These findings point to the existence of socioeconomic inequalities in health care use, indicative of a need to take action to reduce these inequalities.

Chronic pain and cardiovascular disease prevention in primary care: a review of Australian primary health network needs assessments.

Objective Chronic pain and cardiovascular disease (CVD) have a high disease burden. This research aimed to understand whether Australian primary health networks (PHNs) are recognising the need for the prevention of these conditions by investigating what local health and service issues have been identified. Methods Separate sets of needs assessments were analysed for chronic pain and CVD for all 31 PHNs using a document analysis approach. Framework analysis was undertaken to ascertain the types of health and service issues, prevention-related issues and supporting data sources identified, as well as to quantify the number of PHNs identifying these issues. Results Fewer PHNs identified health issues for chronic pain (n = 13) compared with CVD (n = 30), with the most common being disease prevalence and burden supported by National Health Survey data. Service issues were identified by fewer than half the PHNs (n = 13 for each disease), which were largely informed by stakeholder consultation and related to service integration, service accessibility and health professional training. Prevention-related issues were frequently identified for CVD (n = 26), but not chronic pain (n = 3). Conclusions This paper highlights the need for a greater focus on chronic pain- and CVD-related issues by PHNs. This could be supported nationally by recognising chronic pain and risk factors in national datasets and PHN performance frameworks, and locally via greater stakeholder consultation to inform PHN population health planning. What is known about the topic? Chronic pain and CVD are the two leading causes of total disease burden in Australia. PHNs are well positioned to address prevention locally through population health planning, supporting primary healthcare providers, health care integration and coordination and commissioning necessary services. What does this paper add? This paper highlights gaps in data availability, the proportion of PHNs identifying local service issues for both chronic pain and CVD and health- and prevention-related issues for chronic pain. What are the implications for practitioners? Although PHNs are constrained by government priorities and funding, greater stakeholder consultation is one potentially promising strategy to overcome local data gaps to identifying and prioritising chronic pain and CVD prevention.

A Cross-Sectional Study of Perceived Dental Treatment Needs and Oral Health Status in Community-Dwelling Older Australian Men: The Concord Health and Ageing in Men Project.

BACKGROUND: Assessing perceived needs for dental treatment is important in understanding and predicting people's health behaviours. The purpose of this study is to examine older men's perceptions regarding dental treatment needs, and to investigate the disparity between perceived needs and the actual oral health of a population of community-dwelling older Australians. METHODS: Using cross-sectional data from the 4th wave of the Concord Health and Ageing in Men Project, logistic regression analysis of perceived needs for dental treatment was conducted for 596 men aged 78 and over, with functional tooth units (FTUs), number of decayed tooth surfaces, and periodontitis as independent variables. RESULTS: Thirty-six percent (n = 216) of the participants believed they required some form of dental treatment. The remaining participants did not perceive a need for treatment, yet 65.3% objectively required prosthodontic or restorative care. The regression model showed men with lower FTUs were significantly more likely to report a perceived need for dental treatment than those with 12 FTUs [0-6 FTUs: adjusted odds ratio (OR) 2.58, 95% CI 1.28-5.20; 7-11 FTUs: adjusted OR 2.43, 95% CI 1.16-5.10]. However, neither the number of decayed tooth surfaces nor the existence of periodontitis was associated with perceived dental treatment needs. CONCLUSIONS: Most older men viewed their oral health positively, and the majority of those with objectively assessed needs, did not perceive themselves as requiring dental treatment. Loss of FTUs appears to alert participants to seek treatment, but not the presence of dental caries or periodontitis.

Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies.

BACKGROUND: The association between socioeconomic position (SEP) and health is well-established. However, the association between SEP and healthy ageing as a multidimensional construct is unclear. METHODS: We conducted a systematic review of peer-reviewed cross-sectional and longitudinal studies on the associations between SEP and multidimensional healthy ageing measures. Studies were identified from a systematic search across major electronic databases from inception to February 2021. RESULTS: Fourthy-five articles met inclusion criteria (26 cross-sectional and 19 longitudinal studies). There was no consistency in method of operationalizing healthy ageing across studies, domains included in the healthy ageing measures, or in the definition and number of levels of SEP indicators. Overall, regardless of heterogeneity between studies, a positive association between educational level (85.0 % of studies) and income/wealth (81.4 % of studies) and healthy ageing was evident. Regarding occupational position, evidence from 11 studies was inconclusive. The number of studies including home ownership, parenteral SEP, or composite SEP scores was insufficient to be able to draw a conclusion. CONCLUSIONS: There is evidence that socioeconomic inequalities, as assessed by educational level and income/wealth, are associated with healthy ageing. These findings, and the broader evidence base on SEP and healthy ageing, highlight the importance of addressing inequality through integrated health and social policies and strategies.

The Prospective Association Between Socioeconomic Status and Falls Among Community-Dwelling Older Men.

BACKGROUND: Socioeconomic status (SES) has been suggested as a risk factor for falls but the few prospective studies to test this have had mixed results. We evaluated the prospective association between SES and falls in the Concord Health and Ageing in Men Project (CHAMP). METHODS: CHAMP is a population-based prospective cohort study of men aged ≥70 years in Sydney, Australia. Incident falls were ascertained by triannual telephone calls for up to 4 years. SES was assessed with 4 indicators (education, occupation, source of income, home ownership) and cumulative SES score. We tested for interaction between SES indicators and country of birth and conducted stratified analyses. RESULTS: We evaluated 1624 men (mean age: 77.3 ± 5.4 years). During a mean ± SD follow-up of 42.6 ± 8.7 months, 766 (47%) participants reported ≥1 incident falls. In nonstratified analyses, there were no associations between SES indicators and falls. In stratified analyses, falls rates were higher among Australian-born men with less formal education (incidence rate ratio [IRR] 1.66, 95% confidence interval [CI] 1.16-2.37, compared with those with more education) and those with low occupational position (1.45; 1.09-1.93). However, among men born in non-main English-speaking countries the rate of falls was lower among those with low educational level and no associations were evident for occupational position. CONCLUSIONS: Lower educational level and occupational position predicted a higher falls rate in Australian-born men; the opposite relationship was evident for educational level among migrants born in non-main English-speaking countries. Further studies should test these relationships in different populations and settings and evaluate targeted interventions.

Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study.

BACKGROUND: Among older people, the extent to which psychosocial factors explain socioeconomic inequalities in mortality is debated. We aimed to investigate the potential mediating effect of psychosocial factors on socioeconomic inequalities in mortality. METHODS: We used data from a prospective population-based cohort (the Concord Health and Ageing in Men Project; baseline recruitment in 2005-2007), in Sydney, Australia. The main outcomes were all-cause and cause-specific mortality. Socioeconomic status (SES; educational attainment, occupational position, source of income, housing tenure, and a cumulative SES score) was assessed at baseline. Measures of structural and functional social support, as well as depressive and anxiety symptoms were assessed three times during follow-ups. Associations were quantified using Cox regression. Mediation was calculated using "change-in-estimate method". RESULTS: 1522 men (mean age at baseline: 77·4 ± 5·5 years) were included in the analyses with a mean (SD) follow-up time of 9·0 (3·6) years for all-cause and 8·0 (2·8) years for cause-specific mortality. At baseline, psychosocial measures displayed marked social patterning. Being unmarried, living alone, low social interactions, and elevated depressive symptoms were associated with higher risk of all-cause and cardiovascular disease (CVD) mortality. Psychosocial factors explained 35% of SES inequalities in all-cause mortality, 29% in CVD mortality, 12% in cancer mortality, and 39% in non-CVD, non-cancer mortality. CONCLUSION: Psychosocial factors may account for up to one-third of SES inequalities in deaths from all and specific causes (except cancer mortality). Our findings suggest that interventional studies targeting social relationships and/or psychological distress in older men aiming to reduce socioeconomic inequalities in mortality are warranted.

Socioeconomic status, health-related behaviours, and death among older people: the Concord health and aging in men project prospective cohort study.

BACKGROUND: Conflicting evidence exists regarding the association of socioeconomic status (SES) with mortality among older people and little is known about the mechanisms underlying this association. We investigated the association of SES with mortality among older Australian men. We also investigated potential mediating effects of health-related behaviours in SES-mortality associations. METHODS: We used data from a prospective population-based cohort (the Concord Health and Aging in Men Project), in Sydney, Australia. The main outcomes were all-cause and cause-specific mortality. Educational attainment, occupational position, source of income, housing tenure, and a cumulative SES score were assessed at baseline. Longitudinally assessed alcohol consumption, smoking, physical activity, and body mass index were investigated as potential mediators. Associations were quantified using Cox regression. RESULTS: We evaluated 1527 men (mean age: 77.4 ± 5.5 years). During a mean follow-up time of 9.0 years, 783 deaths occurred. For deaths from all causes, the adjusted hazard ratio (HR) for the lowest tertile of cumulative SES score versus the highest tertile was 1.44 (95% CI 1.21 to 1.70); the corresponding sub-HRs were 1.35 (0.96 to 1.89) for cardiovascular disease (CVD) mortality; 1.58 (1.15 to 2.18) for cancer mortality, and 1.86 (1.36 to 2.56) for non-CVD, non-cancer mortality. SES-mortality associations were attenuated by 11-25% after adjustment for mediating health-related behaviours. CONCLUSION: Low SES is associated with increased mortality in older Australian men and health-related behaviours accounted for less than one-fourth of these associations. Further research is needed to fully understand the mechanisms underlying SES inequalities in mortality among older people.

Primary care initiatives focused on the secondary prevention and management of chronic pain: a scoping review of the Australian literature.

The aim of this scoping review was to identify initiatives focused on the secondary prevention and management of chronic pain in Australian primary care to understand options available to Primary Health Networks and to identify evidence gaps. The Medline, EMBASE, Cumulative Index to Nursing and Allied Health Literature and Cochrane databases, as well as relevant websites, were searched for eligible records published from 2007 to 2018. Initiative characteristics and outcomes evaluated were extracted and synthesised. In all, 84 initiatives from 167 published and grey literature records were identified, including: (1) consumer initiatives that aimed to improve access to multidisciplinary care, health literacy and care navigation (n=56); (2) health professional capacity building initiatives that aimed to ensure health professionals are skilled and provide best-practice evidence-based care (n=21); and (3) quality improvement and health system support initiatives (n=7). Evidence gaps were found relating to initiatives addressing the secondary prevention of chronic pain, those targeting vulnerable and regional populations, health professional capacity building initiatives for all primary health care providers and quality improvement and system support initiatives. Addressing evidence gaps related to effectiveness, cost-effectiveness and implementation should be the focus for future chronic pain initiatives in primary care settings.

Apolipoprotein E and Health in Older Men: The Concord Health and Ageing in Men Project.

APOE genotype has been associated with various age-related outcomes including Alzheimer's disease, frailty, and mortality. In this study, the relationship between health, particularly cognitive function, and APOE was investigated in older men from the Concord Health and Ageing in Men Project (n = 1,616; age 76.9 ± 5.5 years [range 70-97 years]; Australia). Baseline characteristics and survival up to 12 years were determined. Frailty was measured using Cardiovascular Health study (CHS) criteria and Rockwood frailty index, and cognition using Mini-Mental State Examination (MMSE) and Addenbrookes Cognitive Examination. APOE ε4 was less common in the oldest men and those born in Mediterranean countries. APOE ε2 was beneficially associated with cholesterol, creatinine, gamma-glutamyl transaminase, glucose, and HDL cholesterol while APOE ε4 was adversely associated with cholesterol and albumin. APOE ε4 was associated with a clinical diagnosis of Alzheimer's disease when adjusted for age and region of birth (ε4 homozygotes Odds ratio (OR) 7.0; ε4 heterozygotes OR 2.4, p < .05), and APOE ε2 had a small positive association with cognition. On multivariate regression, overall cognitive function in the entire cohort was associated with age, country of birth, education, and frailty (all p < .001). APOE was not associated with frailty or survival. In conclusion, age and region of birth influenced distribution of APOE genotype in older men. Although APOE ε4 was associated with Alzheimer's disease, overall cognitive function in the cohort was associated more strongly with frailty than APOE genotype.

Mortality Paradox of Older Italian-Born Men in Australia: The Concord Health and Ageing in Men Project.

Italian migrants are one of the largest groups of older migrants in Australia. Past research has found lower mortality rates in Italian migrants but it is unclear if this persists into older age. Data came from 334 Italian-born and 849 Australian-born men aged 70 years and over participating in a longitudinal study of men's ageing. Male Italian migrants were more likely to smoke, be overweight, and have lower socio-economic status (SES). They also had higher morbidity from diabetes, chronic pain, dementia and depressive symptoms but lower morbidity from heart disease and cancer. There was no age-adjusted mortality difference. However, adjusting for SES, lifestyle and morbidity differences revealed a 25% lower mortality rate (adjusted HR = 0.75; 95% CI 0.57, 0.98) in Italian-born men. Compared to their Australian-born counterparts, older Italian-born men have a lower mortality than expected considering their lower SES, higher smoking and higher morbidity.