Who smokes in Australia? Cross-sectional analysis of Australian Bureau of Statistics survey data, 2017-19.

OBJECTIVES: To assess the socio-demographic and health-related characteristics of people who smoke daily, people who formerly smoked, and people who have never smoked in Australia. STUDY DESIGN: Cross-sectional analysis of Australian Bureau of Statistics (ABS) survey data. SETTING, PARTICIPANTS: Adult participants (16 370 people aged 18 years or older) in the ABS 2017-18 National Health Survey (NHS); adult participants in the ABS 2018-19 National Aboriginal and Torres Strait Islander Health Survey (NATSIHS) (6423 people aged 18 years or older). MAIN OUTCOME MEASURES: Socio-demographic and health-related characteristics of people who smoke daily, people who formerly smoked, and people who have never smoked, expressed as population-weighted proportions, overall and by Indigeneity. RESULTS: Among adult NHS respondents, an estimated 58.8% of people who smoked daily (95% confidence interval [CI], 56.2-61.4%) were men, 61.3% (95% CI, 58.7-63.9%) were 25-54 years old, 72.5% (95% CI, 70.0-74.8%) were born in Australia, and 65.4% (95% CI, 62.8-67.8%) lived in major cities and 54.3% (95% CI, 51.6-57.0%) in areas in the two socio-economically most disadvantaged quintiles; 75.9% (95% CI, 73.5-78.1%) reported good to excellent health, 73.0% (95% CI, 70.5-75.4%) reported low to moderate psychological distress, 69.0% of those aged 25-64 years (ie, of working age) had completed year 12 (high school), and 68.5% were currently employed. An estimated 2.57 million people smoke daily in Australia: 2.37 million non-Indigenous people (92%) and 195 700 Aboriginal or Torres Strait Islander people (8%). CONCLUSIONS: While smoking is more frequent among people living in socio-economically disadvantaged areas and in certain population sub-groups, this first quantitative national profile indicates that most people who smoke daily are in paid employment, are non-Indigenous, are in good physical and mental health, and have completed year 12. Improved comprehensive structural supply- and demand-based tobacco control, informed by the needs of priority groups and the overall profile of people who smoke, is needed to reduce daily smoking prevalence among adults to the 2030 targets of 5% or less for all Australians and 27% or less for Aboriginal and Torres Strait Islander people.

Evaluation of an obstetric and neonatal care upskilling program for community health workers in Papua New Guinea.

BACKGROUND: 60% of women in Papua New Guinea (PNG) give birth unsupervised and outside of a health facility, contributing to high national maternal and perinatal mortality rates. We evaluated a practical, hospital-based on-the-job training program implemented by local health authorities in PNG between 2013 and 2019 aimed at addressing this challenge by upskilling community health workers (CHWs) to provide quality maternal and newborn care in rural health facilities. METHODS: Two provinces, the Eastern Highlands and Simbu Provinces, were included in the study. In the Eastern Highlands Province, a baseline and end point skills assessment and post-training interviews 12 months after completion of the 2018 training were used to evaluate impacts on CHW knowledge, skills, and self-reported satisfaction with training. Quality and timeliness of referrals was assessed through data from the Eastern Highlands Province referral hospital registers. In Simbu Province, impacts of training on facility births, stillbirths and referrals were evaluated pre- and post-training retrospectively using routine health facility reporting data from 2012 to 2019, and negative binomial regression analysis adjusted for potential confounders and correlation of outcomes within facilities. RESULTS: The average knowledge score increased significantly, from 69.8% (95% CI:66.3-73.2%) at baseline, to 87.8% (95% CI:82.9-92.6%) following training for the 8 CHWs participating in Eastern Highlands Province training. CHWs reported increased confidence in their skills and ability to use referral networks. There were significant increases in referrals to the Eastern Highlands provincial hospital arriving in the second stage of labour but no significant difference in the 5 min Apgar score for children, pre and post training. Data on 11,345 births in participating facilities in Simbu Province showed that the number of births in participating rural health facilities more than doubled compared to prior to training, with the impact increasing over time after training (0-12 months after training: IRR 1.59, 95% CI: 1.04-2.44, p-value 0.033, > 12 months after training: IRR 2.46, 95% CI:1.37-4.41, p-value 0.003). There was no significant change in stillbirth or referral rates. CONCLUSIONS: Our findings showed positive impacts of the upskilling program on CHW knowledge and practice of participants, facility births rates, and appropriateness of referrals, demonstrating its promise as a feasible intervention to improve uptake of maternal and newborn care services in rural and remote, low-resource settings within the resourcing available to local authorities. Larger-scale evaluations of a size adequately powered to ascertain impact of the intervention on stillbirth rates are warranted.

Electronic cigarette social norms among adolescents in New South Wales, Australia.

The use of electronic cigarettes (e-cigarettes) is common and increasing, especially among youth. In 2022/2023, 30% of 12- to 17-year-olds reported ever using e-cigarettes in Australia-a >50% increase from 2017 (14%). Several adverse e-cigarette health effects have been identified and most effects remain unknown. Social norms, rules that govern social behaviours, are associated with current and future adolescent e-cigarette use. Understanding social norms in Australian adolescents is critical to the development of targeted and effective e-cigarette prevention activities. This study aims to explore e-cigarette social norms among adolescents living in New South Wales, Australia. A total of 32 online single or paired semi-structured qualitative interviews were conducted involving 46 participants aged 14-17 years, as part of the Generation Vape project. Reflexive thematic analysis was applied within a constructivist perceptive. Adolescents perceived e-cigarettes use as prolific among their peers, with use considered common, acceptable and normal. Fuelled by social exposure to e-cigarettes, 'everyone' was generally thought to be using them (descriptive norms). E-cigarette use was considered so entrenched that it was part of adolescent identity, with abstinence regarded as atypical. Use was driven by an internalised desire to fit it (injunctive norm), rather than being attributed to overt/external 'peer-pressure'. Positive e-cigarette norms exist among Australian adolescents with norm formation strongly influenced by social exposure, including e-cigarette promotion. Prevention efforts should include limiting adolescent exposure to e-cigarette marketing to help redefine existing pro-e-cigarette social norms and protect health.

Population-level contribution of interpersonal discrimination to psychological distress among Australian Aboriginal and Torres Strait Islander adults, and to Indigenous-non-Indigenous inequities: cross-sectional analysis of a community-controlled First Nations cohort study.

BACKGROUND: International and population-specific evidence identifies elevated psychological distress prevalence among those experiencing interpersonal discrimination. We aim to quantify the potential whole-of-population contribution of interpersonal discrimination to psychological distress prevalence and Indigenous-non-Indigenous gaps in Australia. METHODS: We did a cross-sectional analysis of data from Mayi Kuwayu: the National Study of Aboriginal and Torres Strait Islander Wellbeing. Baseline surveys were completed between June 8, 2018, and Sept 28, 2022. We analysed responses from participants who were aged 18 years or older at survey completion, whose surveys were processed between Oct 1, 2018, and May 1, 2021. Sample weights were developed on the basis of national population benchmarks. We measured everyday discrimination using an eight-item measure modified from the Everyday Discrimination Scale and classified experiences as racial discrimination if participants attributed these experiences to their Indigeneity. Psychological distress was measured using a validated, modified Kessler-5 scale. Applying logistic regression, we calculated unadjusted odds ratios (ORs), to approximate incident rate ratios (IRRs), for high or very high psychological distress in relation to everyday discrimination and everyday racial discrimination across age-gender strata. Population attributable fractions (PAFs), under the hypothetical assumption that ORs represent causal relationships, were calculated using these ORs and population-level exposure prevalence. These PAFs were used to quantify the contribution of everyday racial discrimination to psychological distress gaps between Indigenous and non-Indigenous adults. FINDINGS: 9963 survey responses were eligible for inclusion in our study, of which we analysed 9951 (99·9%); 12 were excluded due to responders identifying as a gender other than man or woman (there were too few responses from this demographic to be included as a category in stratified tables or adjusted analyses). The overall prevalence of psychological distress was 48·3% (95% CI 47·0-49·6) in those experiencing everyday discrimination compared with 25·2% (23·8-26·6) in those experiencing no everyday discrimination (OR 2·77 [95% CI 2·52-3·04]) and psychological distress prevalence was 49·0% (95% CI 47·3-50·6) in those experiencing everyday racial discrimination and 31·8% (30·6-33·1) in those experiencing no everyday racial discrimination (OR 2·06 [95% CI 1·88-2·25]. Overall, 49·3% of the total psychological distress burden among Aboriginal and Torres Strait Islander adults could be attributable to everyday discrimination (39·4-58·8% across strata) and 27·1% to everyday racial discrimination. Everyday racial discrimination could explain 47·4% of the overall gap in psychological distress between Indigenous and non-Indigenous people (40·0-60·3% across strata). INTERPRETATION: Our findings show that interpersonal discrimination might contribute substantially to psychological distress among Aboriginal and Torres Strait Islander adults, and to inequities compared with non-Indigenous adults. Estimated PAFs include contributions from social and health disadvantage, reflecting contributions from structural racism. Although not providing strictly conclusive evidence of causality, this evidence is sufficient to indicate the psychological harm of interpersonal discrimination. Findings add weight to imperatives to combat discrimination and structural racism at its core. Urgent individual and policy action is required of non-Indigenous people and colonial structures, directed by Aboriginal and Torres Strait Islander peoples. FUNDING: National Health and Medical Research Council of Australia, Ian Potter Foundation, Australian Research Council, US National Institutes of Health, and Sierra Foundation.

Analysis of Multiple Causes of Death: A Review of Methods and Practices.

BACKGROUND: Research and reporting of mortality indicators typically focus on a single underlying cause of death selected from multiple causes recorded on a death certificate. The need to incorporate the multiple causes in mortality statistics-reflecting increasing multimorbidity and complex causation patterns-is recognized internationally. This review aims to identify and appraise relevant analytical methods and practices related to multiple causes. METHODS: We searched Medline, PubMed, Scopus, and Web of Science from their incept ion to December 2020 without language restrictions, supplemented by consultation with international experts. Eligible articles analyzed multiple causes of death from death certificates. The process identified 4,080 items of which we reviewed 434 full-text articles. RESULTS: Most articles we reviewed (76%, n = 332) were published since 2001. The majority of articles examined mortality by "any- mention" of the cause of death (87%, n = 377) and assessed pairwise combinations of causes (57%, n = 245). Since 2001, applications of methods emerged to group deaths based on common cause patterns using, for example, cluster analysis (2%, n = 9), and application of multiple-cause weights to re-evaluate mortality burden (1%, n = 5). We describe multiple-cause methods applied to specific research objectives for approaches emerging recently. CONCLUSION: This review confirms rapidly increasing international interest in the analysis of multiple causes of death and provides the most comprehensive overview, to our knowledge, of methods and practices to date. Available multiple-cause methods are diverse but suit a range of research objectives. With greater availability of data and technology, these could be further developed and applied across a range of settings.

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.

Health behaviours associated with healthy body composition among Aboriginal adolescents in Australia in the 'Next Generation: Youth Well-being study'.

This study described the distribution of healthy body composition among Aboriginal adolescents in Australia aged 10-24 years and examined associations with health behaviours and self-rated health. Data were cross-sectional from the 'Next Generation: Youth Well-being study' baseline (N = 1294). We used robust Poisson regression to quantify associations of self-reported health behaviours (physical activity, screen time, sleep, consumption of vegetables, fruit, soft drinks and fast food, and tobacco smoking and alcohol) and self-rated health to healthy body mass index (BMI) and waist/height ratio (WHtR). Overall, 48% of participants had healthy BMI and 64% healthy WHtR, with healthy body composition more common among younger adolescents. Higher physical activity was associated with healthy body composition (5-7 days last week vs none; adjusted prevalence ratio (aPR) healthy BMI 1.31 [95% CI 1.05-1.64], and healthy WHtR 1.30 [1.10-1.54]), as was recommended sleep duration (vs not; aPR healthy BMI 1.56 [1.19-2.05], and healthy WHtR 1.37 [1.13-1.67]). There was a trend for higher proportion of healthy body composition with more frequent fast food consumption. Healthy body composition was also associated with higher self-rated health ('very good/excellent' vs 'poor/fair'; aPR healthy BMI 1.87 [1.45-2.42], and healthy WHtR 1.71 [1.40-2.10]). Culturally appropriate community health interventions with a focus on physical activity and sleep may hold promise for improving body composition among Aboriginal adolescents.

Electronic cigarettes and health outcomes: umbrella and systematic review of the global evidence.

OBJECTIVE: To review and synthesise the global evidence regarding the health effects of electronic cigarettes (e-cigarettes, vapes). STUDY DESIGN: Umbrella review (based on major independent reviews, including the 2018 United States National Academies of Sciences, Engineering, and Medicine [NASEM] report) and top-up systematic review of published, peer-reviewed studies in humans examining the relationship of e-cigarette use to health outcomes published since the NASEM report. DATA SOURCES: Umbrella review: eight major independent reviews published 2017-2021. Systematic review: PubMed, MEDLINE, Scopus, Web of Science, the Cochrane Library, and PsycINFO (articles published July 2017 - July 2020 and not included in NASEM review). DATA SYNTHESIS: Four hundred eligible publications were included in our synthesis: 112 from the NASEM review, 189 from our top-up review search, and 99 further publications cited by other reviews. There is conclusive evidence linking e-cigarette use with poisoning, immediate inhalation toxicity (including seizures), and e-cigarette or vaping product use-associated lung injury (EVALI; largely but not exclusively for e-liquids containing tetrahydrocannabinol and vitamin E acetate), as well as for malfunctioning devices causing injuries and burns. Environmental effects include waste, fires, and generation of indoor airborne particulate matter (substantial to conclusive evidence). There is substantial evidence that nicotine e-cigarettes can cause dependence or addiction in non-smokers, and strong evidence that young non-smokers who use e-cigarettes are more likely than non-users to initiate smoking and to become regular smokers. There is limited evidence that freebase nicotine e-cigarettes used with clinical support are efficacious aids for smoking cessation. Evidence regarding effects on other clinical outcomes, including cardiovascular disease, cancer, development, and mental and reproductive health, is insufficient or unavailable. CONCLUSION: E-cigarettes can be harmful to health, particularly for non-smokers and children, adolescents, and young adults. Their effects on many important health outcomes are uncertain. E-cigarettes may be beneficial for smokers who use them to completely and promptly quit smoking, but they are not currently approved smoking cessation aids. Better quality evidence is needed regarding the health impact of e-cigarette use, their safety and efficacy for smoking cessation, and effective regulation. REGISTRATION: Systematic review: PROSPERO, CRD42020200673 (prospective).

Observed and predicted premature mortality in Australia due to non-communicable diseases: a population-based study examining progress towards the WHO 25X25 goal.

BACKGROUND: The World Health Organization's (WHO) 25X25 goal aims for a 25% relative reduction in premature death due to four non-communicable diseases (NCD4)-cancer, cardiovascular disease, chronic respiratory diseases and diabetes-by 2025 compared to 2010. This study aimed to quantify the premature mortality in the Australian population due to NCD4, quantify the variation in mortality rates by age and sex, predict the premature mortality due to NCD4 in 2025 and evaluate the progress towards the WHO 25X25 goal. METHODS: A population-based study using cause-specific mortality data of all deaths which occurred in Australia from 2010 to 2016 and registered up to 2017, for adults aged 30-69 years, was conducted. Age-specific and age-standardised mortality rates (ASMR) and probability of death for NCD4 were calculated for each year. ASMRs in 2016 were calculated for men and women. Deaths and the probability of death in 2025 were predicted using Poisson regression based on data from 2006 to 2016. To assess the progress against the WHO 25X25 goal, the relative reduction in the probability of death from NCD4 conditions in 2025 compared to 2010 was calculated. RESULTS: ASMRs for NCD4 decreased from 2010 to 2016, except for diabetes which increased on average by 2.5% per year. Across sociodemographic factors, ASMRs were highest in males and increased with age. The projected probability of premature death in 2025 was 7.36%, equivalent to a relative reduction of 25.16% compared to 2010 levels. CONCLUSIONS: Premature mortality due to cancer, cardiovascular disease, respiratory diseases and diabetes declined in Australia from 2010 to 2016. This trend is consistent across age groups and by sex, and higher mortality rates were observed in males and at older ages. Nationally, if the current trends continue, we estimate that Australia will achieve a 25.16% relative reduction in premature deaths due to NCD4 in 2025 compared to 2010, signifying substantial progress towards the WHO 25X25 goal. Concerted efforts will need to continue to meet the 25X25 goal, especially in the context of the COVID-19 pandemic.

The relationship of socioeconomic factors to the use of preventative cardiovascular disease medications: A prospective Australian cohort study.

Cardiovascular disease (CVD) events are highly preventable through appropriate treatment and disproportionally affect socioeconomically disadvantaged individuals. This study quantified the relationship of socioeconomic factors to dispensing and persistent use of lipid- and blood pressure-lowering medication following hospital admission for a major CVD event (myocardial infarction, ischaemic stroke/transient ischaemic attack). Data from 8285 people with such events aged ≥45 years from the Australian 45 and Up Study with linked medication data were used to estimate relative risks (RRs) for combined lipid- and blood pressure-lowering dispensing at three-months following hospital discharge and for 12-month persistent use, in relation to education, income, and level of medication subsidisation. Overall, 56% were dispensed guideline-recommended medications at three months and 37% persistently used them across 12 months. After adjusting for demographic factors, type of CVD and history of CVD hospitalisation, RRs for lowest (no educational qualifications) compared to highest education level (university degree) were 1.14 (95% CI: 1.06, 1.22) for medication dispensing and 1.15 (1.02, 1.29) for persistent medication use; 1.14 (1.06, 1.22) and 1.17 (1.04, 1.32) respectively for lowest (<$20,000) versus highest (≥$70,000) household pre-tax income; and 1.25 (1.17, 1.33) and 1.28 (1.15, 1.43) respectively for those receiving highest versus lowest subsidisation. There was little to no evidence of a relationship of income and education to medication use after adjustment for medication subsidisation. While preventive medication use is sub-optimal, subsidisation is substantially associated with increased use and accounts for most of the relationship with socioeconomic position, suggesting subsidy schemes are working in the intended direction.

Cancer incidence and cancer death in relation to tobacco smoking in a population-based Australian cohort study.

Tobacco smoke is a known carcinogen, but the magnitude of smoking-related cancer risk depends on country-specific, generational smoking patterns. We quantified cancer risk in relation to smoking in a population-based cohort, the 45 and Up Study (2006-2009) in New South Wales, Australia. Cox proportional hazards regressions estimated adjusted hazard ratios (HR) by self-reported smoking history at baseline (2006-2009) for incident, primary cancers via linkage to cancer registry data to 2013 and cancer death data to 2015. Among 229 028 participants aged ≥45 years, 18 475 cancers and 5382 cancer deaths occurred. Current-smokers had increased risks of all cancers combined (HR = 1.42, 95% confidence interval [CI], 1.34-1.51), cancers of the lung (HR = 17.66, 95%CI, 14.65-21.29), larynx (HR = 11.29, 95%CI, 5.49-23.20), head-and-neck (HR = 2.53, 95%CI, 1.87-3.41), oesophagus (HR = 3.84, 95%CI, 2.33-6.35), liver (HR = 4.07, 95%CI, 2.55-6.51), bladder (HR = 3.08, 95%CI, 2.00-4.73), pancreas (HR = 2.68, 95%CI, 1.93-3.71), colorectum (HR = 1.31, 95%CI, 1.09-1.57) and unknown primary site (HR = 3.26, 95%CI, 2.19-4.84) versus never-smokers. Hazards increased with increasing smoking intensity; compared to never-smokers, lung cancer HR = 9.22 (95%CI, 5.14-16.55) for 1-5 cigarettes/day and 38.61 (95%CI, 25.65-58.13) for >35 cigarettes/day. Lung cancer risk was lower with quitting at any age but remained higher than never-smokers for quitters aged >25y. By age 80y, an estimated 48.3% of current-smokers (41.1% never-smokers) will develop cancer, and 14% will develop lung cancer, including 7.7% currently smoking 1-5 cigarettes/day and 26.4% for >35 cigarettes/day (1.0% never-smokers). Cancer risk for Australian smokers is significant, even for 'light' smokers. These contemporary estimates underpin the need for continued investment in strategies to prevent smoking uptake and facilitate cessation, which remain key to reducing cancer morbidity and mortality worldwide.

Alcohol consumption, drinking patterns and cancer incidence in an Australian cohort of 226,162 participants aged 45 years and over.

BACKGROUND: Although overall alcohol consumption is known to increase the risk of a number of cancers internationally, evidence for Australia and evidence regarding the pattern of drinking and cancer risk is limited. METHODS: Adjusted hazard ratios (HR) and 95% confidence intervals (CI) for cancer risk in relation to overall alcohol consumption (drinks/week) and pattern of drinking were calculated using Cox proportional hazard regressions for 226,162 participants aged ≥45 years (2006-2009) in the 45 and Up Study, an Australian prospective cohort study. Incident primary cancer cases were ascertained by linkage to the New South Wales Cancer Registry to 2013 by the Centre for Health Record Linkage. RESULTS: Over a median of 5.4 years, 17,332 cancers were diagnosed. Increasing levels of alcohol intake were associated with increased risk of cancers of the upper aerodigestive tract (1.19; 1.10-1.29), mouth and pharynx (1.18; 1.08-1.29), oesophagus (1.22; 1.04-1.43), colorectum (1.09; 1.04-1.15), colon (1.13; 1.06-1.20), liver (1.22; 1.04-1.44) and breast (1.11; 1.02-1.21). Breast cancer risk was marginally associated with drinking pattern, with higher risk when intake was concentrated on 1-3 days/week compared to the same amount spread over 4-7 days (Pinteraction = 0.049). CONCLUSIONS: Alcohol consumption confers a significant risk of cancer, and drinking pattern may be independently related to breast cancer risk.

Physical, mental, and social wellbeing and their association with death by suicide and self-harm in older adults: a community-based cohort study.

OBJECTIVE: To assess associations between physical, mental, and social well-being and suicide and self-harm in a community-based sample of older adults. METHODS: Using a cohort design, questionnaire data from 102,880 individuals aged 65 years or older living in New South Wales, Australia during 2006-2009 were linked to hospital and cause-of-death databases until 2017. Poisson regressions obtained adjusted incidence rate ratios (IRRs). RESULTS: One hundred nine suicides and 191 deliberate self-harm (DSH) events occurred. Compared to those reporting excellent/good overall health, older adults reporting fair overall health had higher suicide rates (IRR = 2.8, 95% confidence interval: 1.8-4.4). Also, suffering from physical limitations was associated with higher rates of suicide. A fair versus excellent/good memory was associated with higher rates of suicide (IRR = 2.0, 1.3-3.3). Male erectile dysfunction was linked to self-harm (IRR = 2.8, 1.0-7.7). Suicide rates were elevated with baseline Kessler-10 scores of 20-50 versus 10-15 (IRR = 5.0, 2.9-8.9); the corresponding IRR for DSH was 2.9 (1.8-4.8). Elevated rates were observed for both self-reported depression and anxiety. Poor versus excellent/good quality of life was associated with suicide (IRR = 4.3, 1.7-10.7) and achieving less than desired to due to emotional problems was linked to self-harm (IRR = 1.8 1.3-2.4). Rates of suicide ande DSH were lower in those with ≥5 people to depend on versus one (suicide: IRR = 0.5, 0.3-0.9; DSH: IRR = 0.5, 0.3-0.7). CONCLUSIONS: Older adults experiencing health problems, including those relating to overall health or memory, and those with psychological distress had elevated rates of suicidal behavior. Rates of subsequent self-harm and/or death by suicide were elevated in participants with small social networks.

Measures of mental, physical, and social wellbeing and their association with death by suicide and self-harm in a cohort of 266,324 persons aged 45 years and over.

PURPOSE: The aim of this study was to examine the relation of mental, physical, and social wellbeing measures to death by suicide and self-harm (SH). METHODS: Using a cohort design, questionnaire data on 266,324 responders aged ≥ 45 years, living in NSW, Australia were linked to hospital and death databases during 2006-2017. Adjusted incidence rate ratios (IRR) were calculated. RESULTS: Overall, 212 suicides and 723 SH episodes were observed. A dose-response relationship with suicidal behaviour was found for Kessler-10 Psychological Distress Scale; IRRs of 4.5 (95% CI 2.4-8.3) for suicide and 8.3 (95% CI 6.5-10.7) for SH were observed for scores of high versus low distress. Elevated rates were also observed for those reporting poor versus good or excellent health (suicide, IRR: 3.8, 95% CI 2.2-6.9; SH, IRR: 4.5 95% CI 3.4-6.1); being dependent versus not dependent on help with daily tasks (suicide, IRR: 2.4 95% CI 1.5-3.7; SH, IRR: 2.6 95% CI 2.0-3.3); being a current smoker (suicide, IRR: 1.8, 95% CI 1.1-2.9; SH, IRR: 2.9 95% CI 2.3-3.5) having versus not having male erectile problems (SH, IRR: 1.9 95% CI 1.4-2.5). Participants with ≥ 5 people versus one person to depend on had reduced suicidal behaviour (suicide, IRR: 0.5 95% CI 0.3-0.7, SH, IRR: 0.5 95% CI 0.4-0.6). CONCLUSIONS: An active social network was linked to lower rates of suicide and self-harm. Adverse health, dependence on help, psychological distress were associated with higher rates of suicide and self-harm, while erectile problems were linked to an elevated rate of self-harm.

Disability, psychological distress and quality of life in relation to cancer diagnosis and cancer type: population-based Australian study of 22,505 cancer survivors and 244,000 people without cancer.

BACKGROUND: Improved survival means that cancer is increasingly becoming a chronic disease. Understanding and improving functional outcomes are critical to optimising survivorship. We quantified physical and mental health-related outcomes in people with versus without cancer, according to cancer type. METHODS: Questionnaire data from an Australian population-based cohort study (45 and Up Study (n = 267,153)) were linked to cancer registration data to ascertain cancer diagnoses up to enrolment. Modified Poisson regression estimated age- and sex-adjusted prevalence ratios (PRs) for adverse person-centred outcomes-severe physical functional limitations (disability), moderate/high psychological distress and fair/poor quality of life (QoL)-in participants with versus without cancer, for 13 cancer types. RESULTS: Compared to participants without cancer (n = 244,000), cancer survivors (n = 22,505) had greater disability (20.6% versus 12.6%, respectively, PR = 1.28, 95%CI = (1.25-1.32)), psychological (22.2% versus 23.5%, 1.05 (1.02-1.08)) and poor/fair QoL (15.2% versus 10.2%; 1.28 (1.24-1.32)). The outcomes varied by cancer type, being worse for multiple myeloma (PRs versus participants without cancer for disability 3.10, 2.56-3.77; distress 1.53, 1.20-1.96; poor/fair QoL 2.40, 1.87-3.07), lung cancer (disability 2.81, 2.50-3.15; distress 1.67, 1.46-1.92; poor/fair QoL 2.53, 2.21-2.91) and non-Hodgkin's lymphoma (disability 1.56, 1.37-1.78; distress 1.20, 1.05-1.36; poor/fair QoL 1.66, 1.44-1.92) and closer to those in people without cancer for breast cancer (disability 1.23, 1.16-1.32; distress 0.95, 0.90-1.01; poor/fair QoL 1.15, 1.05-1.25), prostate cancer (disability 1.11, 1.04-1.19; distress 1.09, 1.02-1.15; poor/fair QoL 1.15, 1.08-1.23) and melanoma (disability 1.02, 0.94-1.10; distress 0.96, 0.89-1.03; poor/fair QoL 0.92, 0.83-1.01). Outcomes were worse with recent diagnosis and treatment and advanced stage. Physical disability in cancer survivors was greater in all population subgroups examined and was a major contributor to adverse distress and QoL outcomes. CONCLUSIONS: Physical disability, distress and reduced QoL are common after cancer and vary according to cancer type suggesting priority areas for research, and care and support.

Education-related variation in coronary procedure rates and the contribution of private health care in Australia: a prospective cohort study.

BACKGROUND: Contemporary Australian evidence on socioeconomic variation in secondary cardiovascular disease (CVD) care, a possible contributor to inequalities in cardiovascular disease outcomes, is lacking. This study examined the relationship between education, an individual-level indicator of socioeconomic position, and receipt of angiography and revascularisation procedures following incident hospitalisation for acute myocardial infarction (AMI) or angina, and the role of private care in this relationship. METHODS: Participants aged ≥45 from the New South Wales population-based 45 and Up Study with no history of prior ischaemic heart disease hospitalised for AMI or angina were followed for receipt of angiography or revascularisation within 30 days of hospital admission, ascertained through linked hospital records. Education attainment, measured on baseline survey, was categorised as low (no school certificate/qualifications), intermediate (school certificate/trade/apprenticeship/diploma) and high (university degree). Cox regression estimated the association (hazard ratios [HRs]) between education and coronary procedure receipt, adjusting for demographic and health-related factors, and testing for linear trend. Private health insurance was investigated as a mediating variable. RESULTS: Among 4454 patients with AMI, 68.3% received angiography within 30 days of admission (crude rate: 25.8/person-year) and 48.8% received revascularisation (rate: 11.7/person-year); corresponding figures among 4348 angina patients were 59.7% (rate: 17.4/person-year) and 30.8% (rate: 5.3/person-year). Procedure rates decreased with decreasing levels of education. Comparing low to high education, angiography rates were 29% lower among AMI patients (adjusted HR = 0.71, 95% CI: 0.56-0.90) and 40% lower among angina patients (0.60, 0.47-0.76). Patterns were similar for revascularisation among those with angina (0.78, 0.61-0.99) but not AMI (0.93, 0.69-1.25). After adjustment for private health insurance status, the HRs were attenuated and there was little evidence of an association between education and angiography among those admitted for AMI. CONCLUSIONS: There is a socioeconomic gradient in coronary procedures with the most disadvantaged patients being less likely to receive angiography following hospital admission for AMI or angina, and revascularisation procedures for angina. Unequal access to private health care contributes to these differences. The extent to which the remaining variation is clinically appropriate, or whether angiography is being underused among people with low socioeconomic position or overused among those with higher socioeconomic position, is unclear.

Tobacco smoking and risk of 36 cardiovascular disease subtypes: fatal and non-fatal outcomes in a large prospective Australian study.

BACKGROUND: Tobacco smoking is a leading cause of cardiovascular disease (CVD) morbidity and mortality. Evidence on the relation of smoking to different subtypes of CVD, across fatal and non-fatal outcomes, is limited. METHODS: A prospective study of 188,167 CVD- and cancer-free individuals aged ≥ 45 years from the Australian general population joining the 45 and Up Study from 2006 to 2009, with linked questionnaire, hospitalisation and death data up to the end of 2015. Hazard ratios (HRs) for hospitalisation with or mortality from CVD among current and past versus never smokers were estimated, including according to intensity and recency of smoking, using Cox regression, adjusting for age, sex, urban/rural residence, alcohol consumption, income and education. Population-attributable fractions were estimated. RESULTS: During a mean 7.2 years follow-up (1.35 million person-years), 27,511 (crude rate 20.4/1000 person-years) incident fatal and non-fatal major CVD events occurred, including 4548 (3.2) acute myocardial infarction (AMI), 3991 (2.8) cerebrovascular disease, 3874 (2.7) heart failure and 2311 (1.6) peripheral arterial disease (PAD) events. At baseline, 8% of participants were current and 34% were past smokers. Of the 36 most common specific CVD subtypes, event rates for 29 were increased significantly in current smokers. Adjusted HRs in current versus never smokers were as follows: 1.63 (95%CI 1.56-1.71) for any major CVD, 2.45 (2.22-2.70) for AMI, 2.16 (1.93-2.42) for cerebrovascular disease, 2.23 (1.96-2.53) for heart failure, 5.06 (4.47-5.74) for PAD, 1.50 (1.24-1.80) for paroxysmal tachycardia, 1.31 (1.20-1.44) for atrial fibrillation/flutter, 1.41 (1.17-1.70) for pulmonary embolism, 2.79 (2.04-3.80) for AMI mortality, 2.26 (1.65-3.10) for cerebrovascular disease mortality and 2.75 (2.37-3.19) for total CVD mortality. CVD risks were elevated at almost all levels of current smoking intensity examined and increased with smoking intensity, with HRs for total CVD mortality in current versus never smokers of 1.92 (1.11-3.32) and 4.90 (3.79-6.34) for 4-6 and ≥ 25 cigarettes/day, respectively. Risks diminished with quitting, with excess risks largely avoided by quitting before age 45. Over one third of CVD deaths and one quarter of acute coronary syndrome hospitalisations in Australia aged < 65 can be attributed to smoking. CONCLUSIONS: Current smoking increases the risk of virtually all CVD subtypes, at least doubling the risk of many, including AMI, cerebrovascular disease and heart failure. Paroxysmal tachycardia is a newly identified smoking-related risk. Where comparisons are possible, smoking-associated relative risks for fatal and non-fatal outcomes are similar. Quitting reduces the risk substantially. In an established smoking epidemic, with declining and low current smoking prevalence, smoking accounts for a substantial proportion of premature CVD events.

A Prospective Study of Health Conditions Related to Alcohol Consumption Cessation Among 97,852 Drinkers Aged 45 and Over in Australia.

BACKGROUND: Evidence suggests that people who develop serious health conditions are likely to cease drinking alcohol (sometimes known as "sick-quitters"). We quantified the likelihood of quitting drinking in relation to the onset of a variety of health conditions. METHODS: Odds ratios (ORs) and 95% confidence intervals (CIs) of ceasing alcohol consumption after diagnosis of 28 health conditions and 4 general indicators of health were derived from logistic regression among 97,852 drinkers aged ≥ 45 years between baseline (2006 to 2009) and median 5.3 years of follow-up in the New South Wales 45 and Up Study. Incident health conditions at follow-up were self-reported. RESULTS: At follow-up, 9.6% (n = 9,438) of drinkers had ceased drinking. Drinking cessation was significantly associated with 24 of 32 health conditions examined: 15.4% of participants with newly diagnosed diabetes quit drinking (OR for quitting vs. continuing 1.77, 95% CI: 1.60 to 1.96), 16.4% with Parkinson's disease (1.71, 1.35 to 2.17), 17.8% with poor memory (1.68, 1.43 to 1.97), 19.2% with hip fracture (1.64, 1.30 to 2.06), 14.7% with stroke (1.45, 1.27 to 1.66), 12.5% with depression (1.40, 1.26 to 1.55), 15.0% with breast cancer (1.38, 1.18 to 1.61), 12.3% with heart disease (1.34, 1.25 to 1.44), and 13.3% with osteoarthritis (1.22, 1.12 to 1.33). Strong associations with quitting were observed in those with a decline in self-rated overall health (2.93, 2.53 to 3.40) and quality of life (2.68, 2.24 to 3.21). Some health conditions not significantly associated with quitting were prostate cancer, melanoma, nonmelanoma skin cancer, hay fever, and hearing loss. Findings were generally consistent for men and women, by age group and by smoking status. CONCLUSIONS: Diagnosis with a variety of health conditions appears to prompt drinking cessation in older adults.

Outcomes by birth setting and caregiver for low risk women in Indonesia: a systematic literature review.

BACKGROUND: Care for women during pregnancy, labour, birth and the postpartum period is essential to reducing maternal and neonatal mortality and morbidity, however the ideal place and organisation of care provision has not been established. The World Health Organization recommends a two-tier maternity care system involving first-level care in community facilities, with backup obstetric hospital care. However, evidence from high-income countries is increasingly showing benefits for low risk women birthing outside of hospital with skilled birth assistance and access to backup care, including lower rates of intervention. Indonesia is a lower middle-income country with a network of village based midwives who attend births at homes, clinics and hospitals, and has reduced mortality rates in recent decades while maintaining largely low rates of intervention. However, the country has not met its neonatal or maternal mortality reduction goals, and it is unclear whether greater improvements could be made if all women birthed in hospital. BODY: This paper reviewed the literature on birth outcomes by place of birth and/or caregiver for women considering their risk of complications in Indonesia. A systematic literature search of Pubmed, CINAHL, CENTRAL, Web of Science, Popline, WHOLIS and clinical trials registers in 2016 and updated in 2018 resulted in screening 2211 studies after removing duplicates. Twenty four studies were found to present outcomes by place of birth or caregiver and were included. The studies were varied in their findings with respect of the outcomes for women birthing at home and in hospital, with and without skilled care. The quality of most studies was rated as poor or moderate using the Effective Public Health Practice Project Quality Assessment Tool. Only one study gave an overall assessment of the risk status of the women included, making it impossible to draw conclusions about outcomes for low risk women specifically; other studies adjusted for various individual risk factors. CONCLUSION: From the studies in this review, it is impossible to assess the outcomes for low risk women birthing with health professionals within and outside of Indonesian hospitals. This finding is supported by reviews from other countries with developing maternity systems. Better evidence and information is needed before determinations can be made about whether attended birth outside of hospitals is a safe option for low risk women outside of high income countries.

Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents.

BACKGROUND: Overweight and obesity are increasing worldwide. To help assess their relevance to mortality in different populations we conducted individual-participant data meta-analyses of prospective studies of body-mass index (BMI), limiting confounding and reverse causality by restricting analyses to never-smokers and excluding pre-existing disease and the first 5 years of follow-up. METHODS: Of 10 625 411 participants in Asia, Australia and New Zealand, Europe, and North America from 239 prospective studies (median follow-up 13·7 years, IQR 11·4-14·7), 3 951 455 people in 189 studies were never-smokers without chronic diseases at recruitment who survived 5 years, of whom 385 879 died. The primary analyses are of these deaths, and study, age, and sex adjusted hazard ratios (HRs), relative to BMI 22·5-<25·0 kg/m(2). FINDINGS: All-cause mortality was minimal at 20·0-25·0 kg/m(2) (HR 1·00, 95% CI 0·98-1·02 for BMI 20·0-<22·5 kg/m(2); 1·00, 0·99-1·01 for BMI 22·5-<25·0 kg/m(2)), and increased significantly both just below this range (1·13, 1·09-1·17 for BMI 18·5-<20·0 kg/m(2); 1·51, 1·43-1·59 for BMI 15·0-<18·5) and throughout the overweight range (1·07, 1·07-1·08 for BMI 25·0-<27·5 kg/m(2); 1·20, 1·18-1·22 for BMI 27·5-<30·0 kg/m(2)). The HR for obesity grade 1 (BMI 30·0-<35·0 kg/m(2)) was 1·45, 95% CI 1·41-1·48; the HR for obesity grade 2 (35·0-<40·0 kg/m(2)) was 1·94, 1·87-2·01; and the HR for obesity grade 3 (40·0-<60·0 kg/m(2)) was 2·76, 2·60-2·92. For BMI over 25·0 kg/m(2), mortality increased approximately log-linearly with BMI; the HR per 5 kg/m(2) units higher BMI was 1·39 (1·34-1·43) in Europe, 1·29 (1·26-1·32) in North America, 1·39 (1·34-1·44) in east Asia, and 1·31 (1·27-1·35) in Australia and New Zealand. This HR per 5 kg/m(2) units higher BMI (for BMI over 25 kg/m(2)) was greater in younger than older people (1·52, 95% CI 1·47-1·56, for BMI measured at 35-49 years vs 1·21, 1·17-1·25, for BMI measured at 70-89 years; pheterogeneity<0·0001), greater in men than women (1·51, 1·46-1·56, vs 1·30, 1·26-1·33; pheterogeneity<0·0001), but similar in studies with self-reported and measured BMI. INTERPRETATION: The associations of both overweight and obesity with higher all-cause mortality were broadly consistent in four continents. This finding supports strategies to combat the entire spectrum of excess adiposity in many populations. FUNDING: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, US National Institutes of Health.