Title: Cross-sectional associations between nutrient intake and tooth decay in older Australian men: The Concord Health and Ageing in Men Project.

Poor nutrition is a risk factor for dental decay in younger people. However, except for sugar it is unclear if this is true in older age groups. The aim of this study was to analyze the possible associations between overall dietary intake of nutrients and diet quality and presence of dental decay in community dwelling older men. A cross-sectional analysis of a longitudinal study with a standardized validated diet history assessment and comprehensive oral health examination in 520 community dwelling men (mean age: 84 years) participating in the Concord Health and Ageing in Men Project. Nutrient Reference Values (NRVs) were used to determine if individual micronutrients and macronutrients were meeting recommendations. Acceptable Macronutrient Distribution Ranges (AMDR) were attained for fat and carbohydrate intakes and were incorporated into a dichotomous variable to determine if the participants were consuming a high fat and low carbohydrate diet. Diagnosis of coronal caries was based on visual criteria and inspection and was completed on each of the five coronal surfaces. Root surface caries was textual changes across four root surfaces. This diagnosis was used to categorize participants by presence and severity of coronal and root caries. Adjusted logistic regression showed not meeting the recommended intakes for thiamin (odds ratio (OR): 2.32 95% confidence interval (CI) 1.15 - 4.67), and zinc (OR: 3.33, 95% CI 1.71 - 6.48) were associated with presence of severe root decay. Adjusted analysis also showed that participants who were outside the recommended AMDR for fat (OR: 0.61, 95% CI 0.38 - 0.98), and those who consumed a high fat and low carbohydrate diet (OR: 0.56, 95% CI 0.35 - 0.91) were less likely to have coronal tooth decay. Our study shows associations between micronutrients and macronutrients and coronal and root surface decay. Although this study cannot prescribe causality or be generalized to all older adults, diet has a possible association with dental decay in older men.

Health Perceptions, Multimorbidity, and New Fractures and Mortality Among Patients With a Fracture.

Importance: A high proportion of patients who sustain a fracture have multimorbidity. However, the association of multimorbidity with postfracture adverse outcomes, such as subsequent fractures and premature mortality, has not been widely explored. Objective: To examine the association of multimorbidity and self-rated health with subsequent fractures and mortality after fracture. Design, Setting, and Participants: This prospective cohort study included participants from New South Wales, Australia, in the Sax Institute's 45 and Up Study (n = 267 357). Participants were recruited from July 2005 to December 2009 and followed up from the date of the incident fracture until subsequent fracture, death, or the end of the study (April 2017), whichever occurred first, with questionnaire data linked to hospital admission and medication records. Data analysis was reported between March and September 2023. Exposures: Charlson Comorbidity Index (CCI) score and self-rated health (SRH). Main Outcomes and Measures: The main outcomes were subsequent fracture or mortality after an incident fracture. Associations between SRH measures and subsequent fracture and mortality were also assessed. All analyses were stratified by sex given the different fracture and mortality risk profiles of females and males. Results: Of 25 280 adults who sustained incident fractures, 16 191 (64%) were female (mean [SD] age, 74 [12] years) and 9089 (36%) were male (mean [SD] age, 74 [13] years). During a median follow-up time of 2.8 years (IQR, 1.1-5.2 years), 2540 females (16%) and 1135 males (12%) sustained a subsequent fracture and 2281 females (14%) and 2140 males (24%) died without a subsequent fracture. Compared with a CCI score of less than 2, those with a CCI score of 2 to 3 had an increased risk of subsequent fracture (females: hazard ratio [HR], 1.16 [95% CI, 1.05-1.27]; males: HR, 1.25 [95% CI, 1.09-1.43]) and mortality (females: HR, 2.19 [95% CI, 1.99-2.40]; males: HR, 1.89 [95% CI, 1.71-2.09]). Those with a CCI score of 4 or greater had greater risks of subsequent fracture (females: HR, 1.33 [95% CI, 1.12-1.58]; males: HR, 1.48 [95% CI, 1.21-1.81]) and mortality (females: HR, 4.48 [95% CI, 3.97-5.06]; males: HR, 3.82 [95% CI 3.41-4.29]). Self-rated health was also significantly associated with subsequent fracture and mortality. Those reporting the poorest health and quality of life had the highest subsequent fracture risks, and their mortality risks were even higher. Conclusions and Relevance: In this cohort study, both CCI and SRH measures were associated with increased risk of subsequent fractures and mortality after fracture, underscoring the importance of managing the care of patients with comorbidities who sustain a fracture.

Worldwide cohort studies to support healthy ageing research: data availabilities and gaps.

BACKGROUND: Population ageing is a transforming demographic force. To support evidence-based efforts for promoting healthy ageing, a summary of data availabilities and gaps to study ageing is needed. METHOD: Through a multifaceted search strategy, we identified relevant cohort studies worldwide to studying ageing and provided a summary of available pertinent measurements. Following the World Health Organization's definition of healthy ageing, we extracted information on intrinsic capacity domains and sociodemographic, social, and environmental factors. RESULTS: We identified 287 cohort studies. South America, the Middle East, and Africa had a limited number of cohort studies to study ageing compared to Europe, Oceania, Asia, and North America. Data availabilities of different measures varied substantially by location and study aim. Using the information collected, we developed a web-based Healthy Ageing Toolkit to facilitate healthy ageing research. CONCLUSIONS: The comprehensive summary of data availability enables timely evidence to contribute to the United Nations Decades of Healthy Ageing goals of promoting healthy ageing for all. Highlighted gaps guide strategies for increased data collection in regions with limited cohort studies. Comprehensive data, encompassing intrinsic capacity and various sociodemographic, social, and environmental factors, is crucial for advancing our understanding of healthy ageing and its underlying pathways.

Intra-generational social mobility and mortality among older men in the Concord Health and Ageing in Men Project: A cohort study.

Objectives: We examined associations between intra-generational social mobility (reflected in life-course socioeconomic trajectories) and mortality, among older men. Methods: Data came from a prospective Australian community-based cohort of older men. Social mobility was defined by socioeconomic indicators from three points in the life-course: educational attainment (late adolescence-early adulthood), occupation (mid-life), and current sources of income (older age). We defined indicators of social mobility trajectory (6 categories; reflecting the direction of social mobility) and social mobility status (2 categories; mobile or non-mobile). We used Cox regression to examine associations with mortality, adjusting for age, country of birth, and living arrangement. Results: We followed 1568 men (mean age 76.8, SD 5.4) for a mean duration of 9.1 years, with 797 deaths recorded. Moving upward was the predominant social mobility trajectory (36.0%), followed by mixed trajectories (25.1%), downward (15.1%), stable low (12.2%), stable high (7.6%), and stable middle (4.0%). Men with downward (Hazard ratio 1.58, 95% CI 1.13 to 2.19) and stable low socioeconomic trajectories (1.77, 1.25 to 2.50) had higher mortality risks than men with stable high socioeconomic trajectories, while men with upward trajectories had similar risks to those with stable high trajectories. 76.2% of the participants were classified as having mobile status; no associations were evident between binary social mobility status and mortality. Discussions: These findings suggest cumulative and persistent exposure to disadvantaged socioeconomic conditions across the life-course, rather than social mobility, is associated with increased mortality. For each stage of the life-course, addressing socioeconomic disadvantage may reduce inequities in mortality.

Context matters: using an Evidence to Decision (EtD) framework to develop and encourage uptake of opioid deprescribing guideline recommendations at the point-of-care.

OBJECTIVES: To describe the development and use of an Evidence to Decision (EtD) framework when formulating recommendations for the Evidence-Based Clinical Practice Guideline for Deprescribing Opioid Analgesics. STUDY DESIGN AND SETTING: Evidence was derived from an overview of systematic reviews and qualitative studies conducted with healthcare professionals and people who take opioids for pain. A multidisciplinary guideline development group conducted extensive EtD framework review and iterative refinement to ensure that guideline recommendations captured contextual factors relevant to the guideline target setting and audience. RESULTS: The guideline development group considered and accounted for the complexities of opioid deprescribing at the individual and health system level, shaping recommendations and practice points to facilitate point-of-care use. Stakeholders exhibited diverse preferences, beliefs, and values. This variability, low certainty of evidence, and system-level policies and funding models impacted the strength of the generated recommendations, resulting in the formulation of four 'conditional' recommendations. CONCLUSION: The context within which evidence-based recommendations are considered, as well as the political and health system environment, can contribute to the success of recommendation implementation. Use of an EtD framework allowed for the development of implementable recommendations relevant at the point-of-care through consideration of limitations of the evidence and relevant contextual factors.

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.

Denosumab and Mortality in a Real-World Setting: A Comparative Study.

Denosumab (Dmab) is increasingly prescribed worldwide. Unlike bisphosphonates (BPs), its effect on mortality has yet to be well explored. This study examined the association between Dmab and all-cause mortality compared with no treatment in subjects with a fracture and BPs in subjects without a fracture. The study population was from the Sax Institute's 45 and Up Study (n = 267,357), a prospective population-based cohort with questionnaire data linked to hospital admissions (Admitted Patients Data Collection [APDC] data were linked by the Centre for Health Record Linkage), medication records (Pharmaceutical Benefits Scheme [PBS] provided by Services Australia), and stored securely (secure data access was provided through the Sax Institute's Secure Unified Research Environment [SURE]). The new-user cohort design with propensity-score (PS) matching was implemented. In the fracture cohort, Dmab and oral BP users were matched 1:2 to no treatment (Dmab: 617 women, 154 men; oral BPs: 615 women, 266 men). In the no-fracture cohort, Dmab users were matched 1:1 with oral BPs and zoledronic acid (Zol) users (Dmab:oral BPs: 479 men, 1534 women; Dmab:Zol: 280 men, 625 women). Mortality risk was measured using sex-specific pairwise multivariable Cox models. In the fracture cohort, compared with no treatment, Dmab was associated with 48% lower mortality in women (hazard ratio [HR] = 0.52, 95% confidence interval [CI] 0.36-0.72) but not in men. Oral BPs were associated with 44% lower mortality in both sexes (women HR = 0.56, 95% CI 0.42-0.77; men HR = 0.56, 95% CI 0.40-0.78). In the no-fracture cohort, compared with BPs, Dmab was associated with 1.5- to 2.5-fold higher mortality than oral BPs (women HR = 1.49, 95% CI 1.13-1.98; men HR = 2.74; 95% CI 1.82-4.11) but similar mortality to Zol. Dmab in women and oral BPs were associated with lower post-fracture mortality than no treatment. However, Dmab users had generally higher mortality than oral BP users in those without fractures. © 2023 American Society for Bone and Mineral Research (ASBMR).

Pain and its interference with daily living in relation to cancer: a comparative population-based study of 16,053 cancer survivors and 106,345 people without cancer.

BACKGROUND: Pain is a common, debilitating, and feared symptom, including among cancer survivors. However, large-scale population-based evidence on pain and its impact in cancer survivors is limited. We quantified the prevalence of pain in community-dwelling people with and without cancer, and its relation to physical functioning, psychological distress, and quality of life (QoL). METHODS: Questionnaire data from participants in the 45 and Up Study (Wave 2, n = 122,398, 2012-2015, mean age = 60.8 years), an Australian population-based cohort study, were linked to cancer registration data to ascertain prior cancer diagnoses. Modified Poisson regression estimated age- and sex-adjusted prevalence ratios (PRs) for bodily pain and pain sufficient to interfere with daily activities (high-impact pain) in people with versus without cancer, for 13 cancer types, overall and according to clinical, personal, and health characteristics. The relation of high-impact pain to physical and mental health outcomes was quantified in people with and without cancer. RESULTS: Overall, 34.9% (5,436/15,570) of cancer survivors and 31.3% (32,471/103,604) of participants without cancer reported bodily pain (PR = 1.07 [95% CI = 1.05-1.10]), and 15.9% (2,468/15,550) versus 13.1% (13,573/103,623), respectively, reported high-impact pain (PR = 1.13 [1.09-1.18]). Pain was greater with more recent cancer diagnosis, more advanced disease, and recent cancer treatment. High-impact pain varied by cancer type; compared to cancer-free participants, PRs were: 2.23 (1.71-2.90) for multiple myeloma; 1.87 (1.53-2.29) for lung cancer; 1.06 (0.98-1.16) for breast cancer; 1.05 (0.94-1.17) for colorectal cancer; 1.04 (0.96-1.13) for prostate cancer; and 1.02 (0.92-1.12) for melanoma. Regardless of cancer diagnosis, high-impact pain was strongly related to impaired physical functioning, psychological distress, and reduced QoL. CONCLUSIONS: Pain is common, interfering with daily life in around one-in-eight older community-dwelling participants. Pain was elevated overall in cancer survivors, particularly for certain cancer types, around diagnosis and treatment, and with advanced disease. However, pain was comparable to population levels for many common cancers, including breast, prostate and colorectal cancer, and melanoma.

Clinical practice guideline for deprescribing opioid analgesics: summary of recommendations.

INTRODUCTION: Long term opioids are commonly prescribed to manage pain. Dose reduction or discontinuation (deprescribing) can be challenging, even when the potential harms of continuation outweigh the perceived benefits. The Evidence-based clinical practice guideline for deprescribing opioid analgesics was developed using robust guideline development processes and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology, and contains deprescribing recommendations for adults prescribed opioids for pain. MAIN RECOMMENDATIONS: Eleven recommendations provide advice about when, how and for whom opioid deprescribing should be considered, while noting the need to consider each person's goals, values and preferences. The recommendations aim to achieve: implementation of a deprescribing plan at the point of opioid initiation; initiation of opioid deprescribing for persons with chronic non-cancer or chronic cancer-survivor pain if there is a lack of overall and clinically meaningful improvement in function, quality of life or pain, a lack of progress towards meeting agreed therapeutic goals, or the person is experiencing serious or intolerable opioid-related adverse effects; gradual and individualised deprescribing, with regular monitoring and review; consideration of opioid deprescribing for individuals at high risk of opioid-related harms; avoidance of opioid deprescribing for persons nearing the end of life unless clinically indicated; avoidance of opioid deprescribing for persons with a severe opioid use disorder, with the initiation of evidence-based care, such as medication-assisted treatment of opioid use disorder; and use of evidence-based co-interventions to facilitate deprescribing, including interdisciplinary, multidisciplinary or multimodal care. CHANGES IN MANAGEMENT AS A RESULT OF THESE GUIDELINES: To our knowledge, these are the first evidence-based guidelines for opioid deprescribing. The recommendations intend to facilitate safe and effective deprescribing to improve the quality of care for persons taking opioids for pain.

Sex differences in lifetime prevalence of low back pain: A multinational study of opposite-sex twin pairs.

BACKGROUND: Low back pain (LBP) is more likely to occur in people with a family history of this condition, highlighting the importance of accounting for familial factors when studying the individual risk of LBP. We conducted a study of opposite-sex twin pairs investigating sex differences in LBP while accounting for (genetic and shared environmental) familial factors. METHODS: We applied a matched co-twin control design to study 795 adult opposite-sex pairs from Australia, Spain, and the United States (US). We used mixed-effects logistic regression to assess the within-pair association between female sex and lifetime prevalence of LBP in unadjusted and adjusted models for body-mass-index, and depression, as well as interactions between female sex and age (

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.

Opioid prescribing patterns among medical practitioners in New South Wales, Australia.

INTRODUCTION: Prescriber behaviour is important for understanding opioid use patterns. We described variations in practitioner-level opioid prescribing in New South Wales, Australia (2013-2018). METHODS: We quantified opioid prescribing patterns among medical practitioners using population-level dispensing claims data, and used partitioning around medoids to identify clusters of practitioners who prescribe opioids based on prescribing patterns and patient characteristics identified from linked dispensing claims, hospitalisations and mortality data. RESULTS: The number of opioid prescribers ranged from 20,179 in 2013 to 23,408 in 2018. The top 1% of practitioners prescribed 15% of all oral morphine equivalent (OME) milligrams dispensed annually, with a median of 1382 OME grams (interquartile range [IQR], 1234-1654) per practitioner; the bottom 50% prescribed 1% of OMEs dispensed, with a median of 0.9 OME grams (IQR 0.2-2.6). Based on 63.6% of practitioners with ≥10 patients filling opioid prescriptions in 2018, we identified four distinct practitioner clusters. The largest cluster prescribed multiple analgesic medicines for older patients (23.7% of practitioners) accounted for 76.7% of all OMEs dispensed and comprised 93.0% of the top 1% of practitioners by opioid volume dispensed. The cluster prescribing analgesics for younger patients with high rates of surgery (18.7% of practitioners) prescribed only 1.6% of OMEs. The remaining two clusters comprised 21.2% of prescribers and 20.9% of OMEs dispensed. DISCUSSION AND CONCLUSION: We observed substantial variation in opioid prescribing among practitioners, clustered around four general patterns. We did not assess appropriateness but some prescribing patterns are concerning. Our findings provide insights for targeted interventions to curb potentially harmful practices.

Towards Optimizing Hospitalized Older adults' MEdications (TO HOME): Multi-centre study of medication use and outcomes in routine care.

AIMS: Comprehensively investigate prescribing in usual care of hospitalized older people with respect to polypharmacy; potentially inappropriate medications (PIMs) according to Beers criteria; and cumulative anticholinergic and sedative medication exposure calculated with Drug Burden Index (DBI). Specifically, to quantify exposure to these measures on admission, changes between admission and discharge, associations with adverse outcomes and medication costs. METHODS: Established new retrospective inpatient cohort of 2000 adults aged ≥75 years, consecutively admitted to 6 hospitals in Sydney, Australia, with detailed information on medications, clinical characteristics and outcomes. Conducted cross-sectional analyses of index admission data from cohort. RESULTS: Cohort had mean (standard deviation) age 86.0 (5.8) years, 59% female, 21% from residential aged care. On admission, prevalence of polypharmacy was 77%, PIMs 34% and DBI > 0 in 53%. From admission to discharge, mean difference (95% confidence interval) in total number of medications increased 1.05 (0.92, 1.18); while prevalence of exposure to PIMs (-3.8% [-5.4, -2.1]) and mean DBI score (-0.02 [-0.04, -0.01]) decreased. PIMs and DBI score were associated with increased risks (adjusted odds ratio [95% confidence interval]) of falls (PIMs 1.63 [1.28, 2.08]; DBI score 1.21[1.00, 1.46]) and delirium (PIMs 1.76 [1.38, 1.46]; DBI score 1.42 [1.19, 1.71]). Each measure was associated with increased risk of adverse drug reactions (polypharmacy 1.42 [1.19, 1.71]; PIMs 1.87 [1.40, 2.49]; DBI score 1.90 [1.55, 2.15]). Cost (AU$/patient/hospital day) of medications contributing to PIMs and DBI was low ($0.29 and $0.88). CONCLUSION: In this large cohort of older inpatients, usual hospital care results in an increase in number of medications and small reductions in PIMs and DBI, with variable associations with adverse outcomes.

Mixed Evidence of an Association between Self-Rated Hearing Difficulties and Falls: Prospective Analysis of Two Longitudinal Studies.

INTRODUCTION: This study aimed to assess the extent to which a single item of self-reported hearing difficulties is associated with future risk of falling among community-dwelling older adults. METHODS: We used data from two Australian population-based cohorts: three waves from the PATH Through Life study (PATH; n = 2,048, 51% men, age 66.5 ± 1.5 SD years) and three waves from the Concord Health and Ageing in Men Project (CHAMP; n = 1,448, 100% men with mean age 77.3 ± 5.3 SD years). Hearing difficulties were recorded on a four-point ordinal scale in PATH and on a dichotomous scale in CHAMP. The number of falls in the past 12 months was reported at each wave in both studies. In CHAMP, incident falls were also ascertained by triannual telephone call cycles for up to four years. Multivariable-adjusted random intercept negative binomial regression models were used to estimate the association between self-reported hearing difficulties and number of falls reported at the following wave or 4-monthly follow-ups. RESULTS: In PATH, self-reported hearing difficulties were associated with a higher rate of falls at follow-up (incidence rate ratio = 1.15, 95% CI = 1.03-1.27 per a one-level increase in self-reported hearing difficulties), after adjusting for sociodemographic characteristics, health behaviours, physical functioning, balance, mental health, medical conditions, and medications. There were no significant associations between hearing difficulties and the rate of falls based on either repeated survey or 4-monthly follow-ups in CHAMP. CONCLUSION: Though we find mixed results, findings from PATH data indicate an ordinal measure of self-reported hearing loss may be predictive of falls incidence in young-old adults. However, the null findings in the male-only CHAMP preclude firm conclusions of a link between hearing loss and falls risk.

Oral health-related quality of life of older Australian men.

OBJECTIVES: The aims of this study were to assess oral health-related quality of life (OHRQoL) in a cohort of older Australian men and explore the association between their general health conditions, socio-demographic factors and OHRQoL. METHODS: The Concord Health and Ageing in Men Project (CHAMP) is a cohort study of the health of a representative sample of Australian men, initiated in 2005-2006 with an initial sample of 1705 men 70 years or over. Participants completed a self-administered health and socio-demographic questionnaire and attended an interview and clinical assessment at baseline and each of three follow-up assessments. Information on oral health and responses to the Oral Health Impact Profile (OHIP-14) were collected in the 4th follow-up in which 778 men completed the OHIP-14 questionnaire and 614 men had a dental assessment. The prevalence of oral health impact was defined as a response of fairly often or very often to one or more of the OHIP-14 questions. Mean OHIP-14 scores were calculated for the 14 questions and used as the dependent variable in the regression analyses. Zero-inflated Poisson regression was used to estimate prevalence rate ratios (PRR). RESULTS: Only 10% of men presented oral health impacts. In multivariate regression modelling, being born in Italy/Greece (PRR: 2.16, 95% CI: 1.93-2.42) or in other countries (PRR: 2.12, 95% CI: 1.89-2.38), having poor self-rated general health (PRR: 1.38, 95% CI: 1.24-1.53), having poor mental wellbeing (PRR: 1.14, 95% CI: 1.04-1.24), having ≥6 depressive symptoms (PRR: 1.18, 95% CI: 1.05-1.32), being a current smoker (PRR: 1.34, 95% CI: 1.06-1.70) and having more decayed tooth surfaces (PRR:1.01, 95% CI: 1.00-1.02) were associated with higher impact scores. CONCLUSIONS: Overall, older Australian men exhibit good oral health-related quality of life. The inter-relationship between perceptions of general health and well-being, health and oral health variables and social background supports policy objectives of closer integration of general health and oral health services for older Australian men.

Healthy dietary indices and noncancer pain: a systematic review of cross-sectional and longitudinal studies.

ABSTRACT: Pain is a global public health problem given its high prevalence and incidence, long duration, and social and economic impact. There is growing interest in nutrition as potential modifiable risk factor related to pain; however, the associations between healthy dietary patterns and pain have not yet been well established. Thus, we aimed to systematically review and synthesise current cross-sectional and longitudinal evidence on the relationship between a priori healthy dietary patterns and noncancer pain among adults aged ≥18 years. We identified relevant published cross-sectional and longitudinal studies by systematically searching several electronic databases from inception to September 2021. Risk of bias was assessed using the modified Newcastle-Ottawa scale for cohort studies. A total of 14 cross-sectional and 6 longitudinal studies were included in the review. These studies measured different dietary scores/indices, such as different measures of adherence to the Mediterranean diet and the dietary inflammatory index. Pain ascertainment methods and pain measurements used differed across studies. All 20 of the included studies had different study designs and statistical analysis. Of these studies, 10 reported an inverse association between adherence to a healthy dietary pattern and pain, 5 reported mixed results, and 5 reported no associations. Despite notable heterogeneity, 50% of included observational studies reported that adherence to a healthy diet, particularly the Mediterranean diet, is inversely associated with pain. Of note, the cross-sectional design of most studies precludes any causal interpretation. Moreover, limited and inconsistent evidence from longitudinal studies highlights the need for further studies.

What's the low back pain problem represented to be? An analysis of discourse of the Australian policy directives.

PURPOSE: Low back pain (LBP) directives provide information about how LBP should be managed, communicated and navigated in complex health systems, making them an important form of policy. This study aimed to examine how LBP is problematised (represented) in Australian directives. MATERIALS AND METHODS: We employed an analysis of discourse of LBP directives drawing on Bacchi's "What's the problem represented to be?" policy problematisation approach. RESULTS: Our analysis suggests that LBP is problematised as a symptom that tends to improve when individuals take responsibility for themselves, but may require care at times. The way in which LBP is represented in the directives excludes important aspects, such as the uncertainties of scientific knowledge, paradigms other than (post)positivist, multimorbidity, social and structural determinants of health. CONCLUSION: LBP directives may benefit from problematisations of LBP that consider the ongoing nature of LBP and broader contextual factors that impact on both LBP outcomes and care, beyond individual responsibility. Consideration of a wider range of paradigms and expanded evidence base may also be beneficial, as these are likely to enable individuals, clinicians and the Australian healthcare system to address LBP while dealing with its complexities, enabling real-world changes to lessen the LBP burden.IMPLICATIONS FOR REHABILITATIONHealthcare professionals who work with people who experience low back pain (LBP) may benefit from critically reflecting about discourses embedded in policy directives.Healthcare professionals may consider engaging in policy changes processes to expand the discourses on which LBP policy directives rely.Healthcare professionals' ability to enact policy recommendations may be enhanced by consideration of the fluctuating nature of LBP, uncertainties, multimorbidity and determinants of health.

Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia.

BACKGROUND: Routinely collected health administrative data can be used to estimate the prevalence or incidence of dementia at a population level but can be inaccurate. This study aimed to examine the accuracy of hospital and death data for diagnosing dementia compared with a clinical diagnosis in community dwelling older men in Australia. METHODS: We performed a retrospective analysis of the Concord Health and Ageing in Men Project (CHAMP) in Sydney, Australia. Of the 1705 men aged ≥70 years in the CHAMP study, 1400 had available linked administrative data records from 1 year prior to 1 year post the date of clinical dementia diagnosis. The primary outcome was the accuracy of dementia diagnosis using linked administrative data records compared to clinical dementia diagnosis. The linked data diagnosis was based on hospital and death records for the 1 year pre and post the clinical diagnosis. Clinical dementia diagnosis was a two-stage process with initial screening, followed by clinical assessment for those meeting a validated cut-off. A final clinical diagnosis of dementia based on the Diagnostic and Statistical Manual of Mental Disorders (4th edition) criteria was reached by a consensus panel. RESULTS: Administrative data identified 28 participants as having dementia, compared to 88 identified through clinical assessment. Administrative data had a sensitivity of 20% (95% CI: 13-30%, 18/88), specificity of 99% (95% CI: 99-100%, 1301/1312), positive predictive value (PPV) of 62% (95% CI: 44-77%), negative predictive value of 95% (95% CI: 94-95%), positive likelihood ratio of 24.4 (95% CI: 11.9-50.0) and negative likelihood ratio of 0.80 (0.72-0.89). CONCLUSIONS: Administrative hospital and death data has limited accuracy for dementia diagnosis with poor sensitivity and PPV. The prevalence of dementia is likely underestimated using hospital and deaths data.

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.