Australian Longitudinal Study Research Articles

Trajectories in mammographic breast screening participation in middle-age overweight and obese women: A retrospective cohort study using linked data

ObjectivesDespite the established benefits and availability of mammographic breast screening, participation rates remain suboptimal. Women with higher BMIs may not screen regularly, despite being at increased risk of postmenopausal breast cancer and worse outcomes. This study investigated the association between prospective changes in BMI and longitudinal adherence to mammographic screening among women with overweight or obesity. MethodsRetrospective cohort study of women (N = 2822) participating in the Australian Longitudinal Study on Women's Health with an average follow-up of 20 years, with screening participation enumerated via BreastScreen NSW, Australia clinical records over the period 1996–2016. Association between BMI and subsequent adherence to screening was investigated in a series of marginal structural models, incorporating a time variant/invariant socio-demographic, clinical, and health behaviour confounders. Models were also stratified by a proxy measure of socio-economic status (education). ResultsParticipants with overweight/obesity were less adherent to mammography screening, compared to healthy/underweight participants (OR=1.29, 95 % CI=1.07, 1.55). The association between overweight/obesity and non-adherence was higher among those who ever had private health insurance (OR=1.30, 95 % CI=1.05, 1.61) compared to those who never had private health insurance and among those with lower educational background (OR=1.38, 95 % CI=1.08, 1.75) compared to those with higher educational background. ConclusionsLong-term impacts on screening participation exist among women with higher BMI, who are less likely to participate in routinely organised breast screening. Women with a higher BMI should be a focus of efforts to improve breast screening participation, particularly given their increased risk of breast cancer and association of higher BMI with worse breast cancer outcomes among older women.

Persistent low job control and subsequent major depression: A prospective cohort study of Australian working males

Workers' perception of control over work is a key construct in the relationship between the psychosocial work environment and health. While exposure to low job control has been prospectively linked to poor mental health including depression and anxiety, there is less research examining the impact of prolonged exposure to low job control on mental health. Data from 5054 employed men from 2013 to 2021 in the Australian Longitudinal Study on Male Health was used to examine persistent and intermittent low job control and subsequent major depression symptoms. Persistent low job control was based on consecutive self-reports of low job control over waves 1 and 2. Combinations of low and high job control were classified as intermittent exposure and continuous high job control exposure over both waves was classified as persistent high job control. Major depression symptoms, derived from the Patient Health Questionnaire-9, was measured in wave 3. Generalised linear models and augmented inverse probability weighting were undertaken. There was a strong stepwise relationship between low job control and major depression. Compared to persistent high job control, intermittent low job control was associated with an increased risk of subsequent major depression symptoms by 32% (RR 1.32, 95% CI 0.82, 2.15); and persistent low job control by 103% (RR 2.03, 95% CI 1.21, 3.41). Compared to men exposed to persistent high job control, the average treatment effect for persistent low job control was 0.036 (95%CI 0.014, 0.058) and intermittent low job control 0.019 (95%CI 0.006, 0.032) equating to a risk ratio of 2.46 (95%CI 1.43, 3.50) and 1.79 (95% CI 1.14, 2.45) respectively. This study's findings have implications for public health and occupational policies, as they underscore the importance of reducing prolonged exposure to low job control to protect against the risk of major depression in the working population.

Significantly increasing multiple sclerosis prevalence in Australia from 2010 to 2021.

Multiple sclerosis (MS) prevalence is increasing globally. To determine whether increased prevalence is continuing within Australia using our validated prescription-based ascertainment method. We used methods employed in our 2010 and 2017 prevalence estimates. Disease-modifying therapy (DMT) prescriptions were extracted from Australia's Pharmaceutical Benefits Scheme data for January-December 2021. DMT penetrance was calculated using data from the Australian MS Longitudinal Study. We divided the total number of monthly prescriptions by 12 or 2 (except alemtuzumab), adjusted for DMT penetrance and Australian population estimates. Prevalences in Australian states/territories were age-standardised. 2021 prevalence estimates were compared with 2010 and 2017 prevalence estimates using Poisson regression. Number of people with MS in Australia in 2021 was 33,335; an increase of 7728 from 2017 (30.2%) and 12,092 from 2010 (56.6%) and increasing at a faster rate than population change (+10.1%, +14.1%). Age-standardised prevalence was 136.1/100,000 (increased from 103.7/100,000 in 2017). The previously demonstrated positive latitudinal gradient in 2010 and 2017 persisted in 2021, with Tasmania (southernmost state) having the highest prevalence (age-standardised: 203.5/100,000) while northernmost states had the lowest. In line with global trends, MS prevalence is escalating in Australia, particularly in higher-latitude states. MS prevention is crucial to halt this disturbing trend.

Clinical Outcomes of Electroconvulsive Therapy (ECT) for Depression in Older Old People Relative to Other Age Groups Across the Adult Life Span: A CARE Network Study.

Electroconvulsive therapy (ECT) is a commonly used treatment for severe psychiatric illness in older adults, including in the 'older old' population aged 80years and above. However, there can sometimes be a reluctance to treat the 80+ year old age group with ECT due to medical comorbidities, frailty, and concerns about cognition. This multi-site, longitudinal Australian study aimed to investigate the effectiveness and safety of ECT in older old people compared with younger age groups. Data from 310 people receiving ECT for depression at three participating hospitals was collected in a naturalistic setting, between 2015 and 2022. Clinical ratings were conducted pre-ECT and end-acute ECT using the Montgomery-Åsberg Depression Rating Scale (MADRS). Cognitive outcomes were assessed using the Montreal Cognitive Assessment (MoCA). Older old adults demonstrated a significant reduction MADRS scores at post-treatment. They were more likely to meet remission criteria compared with the younger age groups. Older old adults were also less likely to show clinically significant cognitive decline post-ECT, and were more likely to show clinically significant cognitive improvement post-ECT compared with younger age groups. ECT is highly effective in treating severe psychiatric illness in older old adults. Relative to the younger age groups, the older old group were more likely to remit with ECT and a greater proportion showed cognitive improvement post-ECT. These findings suggest that ECT should be considered as a valuable and safe treatment option for older old individuals with depression.

Falls and patterns of physical activity participation over 18 years in the Australian Longitudinal Study on Women’s Health

ObjectiveTo explore the relationship between long-term physical activity (PA) participation and falls.MethodsParticipants in the Australian Longitudinal Study of Women’s Health born 1946–1951 self-reported amounts of PA every 3 years since...

The impacts of a healthy lifestyle on the physical and mental health status of female stroke survivors in Australia

ABSTRACT Introduction This longitudinal study aimed to explore the impacts of adopting a healthy lifestyle on self-reported physical and mental health outcomes among Australian females who are living with stroke. Methods The study utilized data retrieved from the Australian Longitudinal Study on Women’s Health’s 1946–51 cohort (from survey 5 conducted in 2007 to survey 9 conducted in 2019), focusing on 531 female stroke survivors. The dependent variables for this study were self-reported physical and mental health status, whereas the independent variables were lifestyle behaviors, including physical activity, smoking, alcohol consumption, and supplement use. Generalized Estimating Equation models were employed to assess the longitudinal associations between a dependent variable and the independent and confounding variables. Results The average age of the participants was 58.1 (SD = 1.4) years in survey 5 and 70.5 years in survey 9. The longitudinal analyses revealed that stroke survivors who engaged in moderate/high levels of physical activity had significantly better physical and mental health status than their inactive or sedentary counterparts. Besides, current smokers had significantly poorer physical and mental health status than nonsmokers. In addition, risky/high-risk alcohol consumers had significantly poorer mental health status compared to no/low-risk alcohol consumers. Conclusions Our findings suggest that post-stroke individuals can improve their physical and mental health by maintaining a healthy lifestyle. Specifically, targeted and appropriate programs and strategies are needed to promote physical activity and reduce smoking and alcohol consumption in female stroke survivors in order to optimize their overall health and quality of life.

Quantifying Physical Resilience after Knee or Hip Surgery in Older Australian Women Based on Long-Term Physical Functioning Trajectories.

To improve outcomes after knee or hip surgery, better insight is needed in long-term recovery patterns in the context of ageing-related decline. We examined long-term trajectories of physical functioning (PF) in older women with and without hip and knee surgery and described profiles of cases with higher and lower resilience after surgery. This observational study used data from 10,434 women (73-79 years) who completed survey 2 of the Australian Longitudinal Study on Women's Health. Data were used from surveys 2 (1999) to 6 (2011). Covariable-adjusted linear mixed models were run to examine the surgery-by-time (-12 to +12 years) interaction in association with PF (SF-36 subscale). The differences between observed and expected PF were calculated, with positive/negative values reflecting higher/lower resilience, respectively. Women with hip surgery (n = 982) had lower PF than those without surgery (n = 8,117) (p < 0.001). Among hip surgery patients, the decline was more rapid pre-surgery than post-surgery (Δslope = -0.7, p < 0.001). Women with knee surgery (n = 1,144) had lower PF than those without surgery (n = 7,971), but with a slower rate of decline (p = 0.01). Among knee surgery patients, the rate of decline was similar pre- and post-surgery (Δslope = -0.3, p = 0.25). Both in hip and knee patients, women with higher resilience had fewer comorbidities and symptoms and were more often physically active and independent in daily activities than those with lower resilience (all p < 0.05). Compared with women without surgery, PF was lower and declined more rapidly around the time of hip surgery, but not for knee surgery. Women with better long-term recovery after surgery had fewer health problems and were more independent around the time of surgery.

First Australian estimates of incidence and prevalence of uterine fibroids: a data linkage cohort study 2000-2022.

What is the estimated prevalence and incidence of uterine fibroids diagnosed in Australian women of reproductive age? An estimated 7.3% of Australian women had a diagnosis of uterine fibroids by the age of 45-49 years, with age-specific incidence highest in women aged 40-44 years (5.0 cases per 1000 person-years). Uterine fibroids are associated with a high symptom burden and may affect overall health and quality of life. Studies in different countries show a wide variation in both the prevalence (4.5-68%) and incidence (2.2-37.5 per 1000 person-years) of uterine fibroids, which may be partly explained by the type of investigation, method of case ascertainment, or the age range of the study population, necessitating the reporting of country-specific estimates. This observational prospective cohort study using self-report survey and linked administrative data (2000-2022) included 8066 women, born between 1973 and 1978, in the Australian Longitudinal Study on Women's Health. A combination of self-report survey and linked administrative health data (hospital, emergency department, the Medicare Benefits Schedule, and the Pharmaceutical Benefits Scheme) were used to identify women with a report of a diagnosis of uterine fibroids between 2000 and 2022. Of the 8066 Australian women followed for 22 years, an estimated 7.3% of women (95% CI 6.9, 7.6) had a diagnosis of uterine fibroids by the age of 45-49 years. The incidence increased with age and was highest in women aged 40-44 years (5.0 cases per 1000 person-years, 95% CI 4.3, 5.7 cases per 1000 person-years). Women with uterine fibroids were more likely to experience heavy or painful periods. They were also more likely to report low iron levels, endometriosis, and poor self-rated health and to have two or more annual visits to their general practitioner. Our estimates are based on self-report of doctor diagnosis or treatment for fibroids and/or data linked to treatment and procedure administrative records. This predominantly captures women with symptomatic fibroids, but has the potential for misclassification of asymptomatic women and an underestimate of overall prevalence and incidence. In addition, questions on fibroids were only asked in surveys when women were 37-42 years of age to 43-48 years of age, so cases at younger ages may have been underestimated (particularly in women with less severe symptoms) as these were only ascertained through data linkage. These are the first population-based estimates of the prevalence and incidence of uterine fibroids in women of reproductive age in Australia. Establishing these first estimates will help inform health policy and health care provision in the Australian context. The ALSWH is funded by the Australian Government Department of Health and Aged Care. L.FW. was supported by an Australian National Health and Medical Research Council (NHMRC) Centres for Research Excellence grant (APP1153420) and G.D.M. was supported by an NHMRC Leadership Fellowship (APP2009577). The funding bodies played no role in the design, the collection, analysis or interpretation of data, the writing of the manuscript, or the decision to submit the manuscript for publication. There are no competing interests. N/A.

A novel method to monitor rheumatoid arthritis prevalence using hospital and medication databases

BackgroundMost estimates of rheumatoid arthritis (RA) prevalence, including all official figures in Australia and many other countries, are based on self-report. Self-report has been shown to overestimate RA, but the ‘gold standard’ of reviewing individual medical records is costly, time-consuming and impractical for large-scale research and population monitoring. This study provides an algorithm to estimate RA cases using administrative data that can be adjusted for use in multiple contexts to provide the first approximate RA cohort in Australia that does not rely on self-report.MethodsSurvey data on self-reported RA and medications from 25 467 respondents of the Australian Longitudinal Study on Women’s Health (ALSWH) were linked with data from the national medication reimbursement database, hospital and emergency department (ED) episodes, and Medicare Benefits codes. RA prevalence was calculated for self-reported RA, self-reported RA medications, dispensed RA medications, and hospital/ED RA presentations. Linked data were used to exclude individuals with confounding autoimmune conditions.ResultsOf 25 467 survey respondents, 1367 (5·4%) women self-reported disease. Of the 26 840 women with hospital or ED presentations, 292 (1·1%) received ICD-10 codes for RA. There were 1038 (2·8%) cases by the medication database definition, and 294 cases (1·5%) by the self-reported medication definition. After excluding individuals with other rheumatic conditions, prevalence was 3·9% for self-reported RA, 1·9% based on the medication database definition and 0·5% by self-reported medication definition. This confirms the overestimation of RA based on self-reporting.ConclusionsWe provide an algorithm for identifying individuals with RA, which could be used for population studies and monitoring RA in Australia and, with adjustments, internationally. Its balance of accuracy and practicality will be useful for health service planning using relatively easily accessible input data.

Geographic Variation in Osteoporosis Treatment in Postmenopausal Women: A 15-Year Longitudinal Analysis.

Osteoporosis affects more than half of older women, but many are not treated. Whether treatment differs between rural and urban areas is unknown. To examine differences in osteoporosis treatment among postmenopausal women living in urban and rural areas of Australia. Women participating in the Australian Longitudinal Study on Women's Health, a prospective longitudinal cohort study, born between 1946-1951, and with osteoporosis or fractures, were included. Surveys from 2004 to 2019 were linked to the Pharmaceutical Benefits Scheme (government-subsidized medications) to assess osteoporosis treatment and adherence, comparing geographical areas. Of the 4259 women included (mean age, 55.6 years), 1703 lived in major cities, 1629 inner regional, 794 outer regional, and 133 remote areas. Over the 15-year follow-up, 1401 (32.9%) women received treatment, including 47.4% of women with osteoporosis and 29.9% with fractures. Women in outer regional and remote areas were less likely to use antiosteoporosis treatment than those in major cities on univariable analysis (outer regional odds ratio, 0.83; 95% CI, 0.72-0.95; remote, 0.65; 0.49-0.86), but this did not remain significant on multivariable analysis. Median duration of use was 10 to 36 months, adherence varied by treatment type (34%-100%) but was not related to incident fractures, and of the women who stopped denosumab, 85% did not receive another consolidating treatment. One-third of women with osteoporosis/fractures received treatment, and adherence was low. There was no difference in treatment use between urban and rural areas after adjusting for risk factors, although the specific treatment used, and adherence, differed.

P-688 Fertility and age at childbirth in polycystic ovary syndrome: results from a longitudinal population-based cohort study

Abstract Study question How does fertility differ between women with and without polycystic ovary syndrome (PCOS), and which factors are associated with advanced maternal age? Summary answer Women with PCOS have less births. PCOS was associated with advanced maternal age, with later diagnosis associated with double the rate of advanced maternal age. What is known already PCOS affects 12% or 140 million women globally. Women with PCOS have broad features including ovulatory disturbances and increased infertility; however, few studies have explored reproductive outcomes in PCOS at the end of reproductive age. In the general population advanced maternal age, defined as giving birth after age 35 years, is associated with increased risk of pregnancy complications and reduced fertility. A recent register-based study found increased risk of advanced maternal age in women with PCOS, yet PCOS prevalence was underreported, and the study did not adjust for important confounders. Study design, size, duration Prospective cohort study. Women with (n = 981) and without (n = 13 266) self-reported PCOS diagnosis were compared during a 25-year follow-up. Participants/materials, setting, methods Women randomly selected from the general population and included in the prospective Australian Longitudinal Study on Women’s Health were assessed with surveys every third year from 1996 (age 18-23 years) to 2021 (age 43-48 years). Main results and the role of chance Overall 9.9% of women reported having PCOS and by 43-48 years, those with PCOS had less births (1.7 ±1.3 vs. 1.9 ±1.2, p < 0.001), and more were nulliparous, 23% vs. 18%, p = 0.003. They were older than women without PCOS at their first, and second childbirth (29.5 ±5.49 vs. 28.8 ±5.48 years and 32.1 ±5.16 vs. 31.1 ±5.00 years, p < 0.001 for both). PCOS was associated with increased odds of advanced maternal age at first childbirth, adjusted odds ratio (aOR) 1.34 (95% confidence interval 1.04-1.75), whereas type 2 diabetes (aOR 0.68 (0.61-1.10)) or hypertension (aOR 0.82 (0.61-1.10)) were not associated with advanced maternal age. Within the PCOS group, a late PCOS diagnosis was associated with increased odds of advanced maternal age, aOR 2.05 (1.24-3.40). Limitations, reasons for caution All outcomes were self-reported. Wider implications of the findings Women with PCOS have lower parity. Later diagnosis is associated with increased odds of advanced maternal age at first childbirth. Given poor reproductive outcomes with increased maternal age, we highlight the importance of earlier diagnosis, patient education and implementation of a reproductive life-plan to optimize attainment of aspirational family size. Trial registration number not applicable

Exploring the workplace factors and their influence on the employment outcomes for people with multiple sclerosis

BackgroundHigh unemployment rate of people with multiple sclerosis (PwMS) is associated with substantial economic costs. Whilst the impact of MS symptoms and other disease-related factors on employment outcomes of PwMS has been assessed, limited evidence exists on the impacts of workplace factors. ObjectiveTo investigate the most common individual and group workplace factors associated with unemployment or a perceived risk of unemployment in PwMS, and to identify patient subgroups that are more susceptible to changes in employment status due to such factors. MethodsData from the Australian MS Longitudinal Study (AMSLS) on employment status and workplace factors were used. Fifteen workplace factors were classified under four groups: organisational, commuting, moving around at work, and equipment usage factors. Participants answered ‘Yes’ to each factor if it related to their unemployment and/or perceived risk of becoming unemployed and a group factor was considered “Yes” if at least one individual factor within it was answered as “Yes”. The proportions of “Yes” responses were calculated for both individual and group factors. Total number of individual factors was calculated and descriptive analyses and ordered logistic regression were used to summarize the total number of factors affecting each participant, and their association with participants’ occupations, sex, disability severity and disease duration. ResultsCommon workplace factors influencing employment were organisational (39.8 % perceived risk, 44.0 % lost employment), commuting (28.9 % perceived risk) and equipment usage difficulty (30.9 % lost employment). Common individual factors included inflexible working conditions, lack of suitable work, commuting difficulties, architectural barriers, and requirement to stand for long periods to use equipment. Professionals, blue-collar workers, and those with moderate/severe disability were more likely to report a higher number of workplace factors risking their employment. ConclusionsWorkplace factors undermine PwMS employment, with variations among subgroups based on occupation and disability severity. Understanding these barriers is crucial for supporting PwMS in the workforce.

How Selective Mobility, Social and Ecological Influence may Impact Geographic Variations in Life Satisfaction Scores: An Australian Longitudinal Study

The spatial clustering of life satisfaction scores noted in recent empirical research suggests that ‘happier’ people may live in specific neighbourhoods or regions. This prompts the questions: Do ‘happier’ people choose to move to specific places? Does living in specific places make people ‘happier’? To answer these questions, this paper explores possible occurrences of selective mobility, and social and ecological influence. Using panel data collected in Australia from 2013 to 2021, we examine the association between life satisfaction scores and selective geographic mobility, and the possible influence that living at specific locations may have on individual life satisfaction trajectory, while controlling for individual personality traits and socio-demographic factors. Our results indicate that urban residents reporting lower life satisfaction scores before the move have a higher probability of moving to a rural area. Similarly, lower life satisfaction scores are associated with a higher probability of moving to a region with a different climate. We also find evidence that moving from the city to the country is associated with an uplift of the life satisfaction trajectory for the individual. A similar conclusion is reached for people who moved to a warmer climate, but not for a move to a cooler climate. To our knowledge, this is the first time the concepts of selective mobility and social and ecological influence have been applied in life satisfaction research. Our work provides an indicator that can be important to demographers predicting population movements. It can also inform policy development around assisting regional and rural areas attract/ retain residents to support regional sustainability.

Transition between cardiometabolic conditions and body weight among women: which paths increase the risk of diabetes and cardiovascular diseases?

Previous studies investigated the association of body weight and hypertension with risk of incident cardiometabolic multimorbidity. Our aim was to estimate the risk of diabetes and cardiovascular disease later in life for subjects with different progression patterns of overweight, obesity, and hypertension in mid-life. This was a prospective cohort study in which data from 12,784 participants in the Australian Longitudinal Study on Women’s Health were used. Multistate model was used to study the progression pattern of overweight, obesity, hypertension, diabetes, and cardiovascular disease over the life course. The cumulative incidence of diabetes and cardiovascular disease up to the age of 73 was estimated for women with different patterns of other conditions. The six most common paths and corresponding cumulative incidences for diabetes were overweight 5.1%, obesity 11.5%, hypertension 6.9%, progression from overweight to obesity 8.2%, overweight and hypertension 12.1%, and obesity and hypertension 36.8%. For women with diabetes and other conditions, the cumulative incidence of cardiovascular disease (heart disease or stroke) as the next immediate condition was 22.4%. The corresponding figure for women who only had a report of diabetes but did not have high body weight or hypertension was 8.3%. The higher risk of transition from healthy state to a cardiometabolic condition was associated with low education, income stress, smoking, not drinking alcohol (compared to low drinkers), physical inactivity, and high perceived stress. Women with obesity and hypertension in middle-age had a substantially higher risk of developing diabetes and cardiovascular disease than women without these potentially preventable conditions.

Associations between factors in childhood and young adulthood and childlessness among women in their 40s: A national prospective cohort study

BackgroundWhile the risk factors for infertility are well-established, research on factors associated with voluntary childlessness is limited and mainly focused on adulthood factors. Thus, we examined the associations between factors in childhood and young adulthood and different types of childlessness. MethodsThe analysis included 4653 women from the Australian Longitudinal Study on Women's Health from 1996 to 2021. Childlessness was categorised as: voluntary, due to infertility issues, or due to other reasons. The associations between factors in childhood and young adulthood and childlessness were assessed using multinomial logistic regression models. ResultsIn their 40s, 4.8 % of women were voluntarily childless, 6.7 % were childless due to infertility issues, and 7.8 % were childless due to other reasons. Regardless of types of childlessness, being childless was associated with poorer self-rated health during childhood and having been unpartnered and obese in young adulthood. Ex-smokers in young adulthood had lower odds of childlessness. Childhood physical abuse was associated with childlessness due to infertility issues and other reasons. Voluntary childlessness and childlessness due to infertility issues were associated with having identified as non-exclusively heterosexual in early adulthood. Lower social support in early adulthood was associated with voluntary childlessness and childlessness due to other reasons. LimitationsThe direction of the associations could not be determined and using self-reported data may introduce recall bias. ConclusionsFactors in childhood and young adulthood were associated with different types of childlessness, highlighting the importance of adopting a life course perspective when studying childlessness.

Association of optimism and social support with health-related quality of life among Australian women cancer survivors - A cohort study.

Large-scale studies investigating health-related quality of life (HRQL) in cancer survivors are limited. This study aims to investigate HRQL and its relation to optimism and social support among Australian women following a cancer diagnosis. Data were from the Australian Longitudinal Study on Women's Health, a large cohort study (n=14,715; born 1946-51), with 1428 incident cancer cases ascertained 1996-2017 via linkage to the Australian Cancer Database. HRQL was measured using the Short Form-36 (median 1.7 years post-cancer-diagnosis). Multivariable linear regression was performed on each HRQL domain, separately for all cancers combined, major cancer sites, and cancer-free peers. Higher optimism and social support were significantly associated with better HRQL across various domains in women with and without a cancer diagnosis (p<0.05). Mean HRQL scores across all domains for all cancer sites were significantly higher among optimistic versus not optimistic women with cancer (p<0.05). Adjusting for sociodemographic and other health conditions, lower optimism was associated with reduced scores across all domains, with greater reductions in mental health (adjusted mean difference (AMD)=-11.54, p<0.01) followed by general health (AMD=-11.08, p<0.01). Social support was less consistently related to HRQL scores, and following adjustment was only significantly associated with social functioning (AMD=-7.22, p<0.01) and mental health (AMD=-6.34, p<0.01). Our findings highlight a strong connection between optimism, social support, and HRQL among cancer survivors. Providing psychosocial support and addressing behavioral and socioeconomic factors and other health conditions associated with optimism and social support may improve HRQL.

Suicidal Behavior of Australian Males, From an Ethnicity Perspective

Background Suicide is the 10th leading cause of death among Australian males. Despite the cultural diversity in Australia, there is a significant research gap in knowledge of suicidal behavior among Australian males from ethnically and culturally diverse backgrounds. The study aimed to estimate the prevalence and risk of suicidal behaviors among Australian males based on ethnicity, with an emphasis on those from ethnic-minority backgrounds. Methods We used data from the first wave of the Australian Longitudinal Study on Male Health. Multiple logistic regression models were used to determine the risk of suicidal behavior (lifetime suicide attempt, lifetime suicidal ideation, recent suicidal ideation) by ethnicity. Results Among ethnic minority males, Pacific Islander males also had the highest prevalence of lifetime suicide attempts (12.2%), while Middle Eastern (2.3%) and South-/North-East Asian males (2.9%) had the lowest rates. South American males had the highest recent suicidal ideation (18.2%), followed by Pacific Islanders (14.2%). The highest prevalence of lifetime suicidal thoughts was reported among males of mixed ethnicity (23.0%), followed by South American (14.6%) and Pacific Islander (13.5%) males. Most ethnic-minority groups had a lower risk of lifetime suicidal ideation compared with Australian males. Evidence regarding differences in recent suicidal ideation and lifetime suicide attempts between ethnic-minority and Australian-background males was inconclusive. Conclusion Evidence was found of differences in suicidal behaviors among Australian males based on ethnicity. Future research should use inclusive methodologies to confirm these associations and explore the underlying factors contributing to higher rates of suicidal behavior in specific populations.

The association of comorbidities with sleep quality among Australians with multiple sclerosis: Insights from the Australian Multiple Sclerosis Longitudinal Study

Background: Comorbidities and poor sleep quality are prevalent among individuals with multiple sclerosis (MS). Our understanding of the effects of comorbidities on sleep quality in MS remains limited. Objectives: The objectives were to investigate whether the number and presence of specific comorbidities have associations with sleep quality and to assess the relative contribution of comorbidity groups to sleep quality. Methods: We collected data on sleep quality (using Pittsburgh Sleep Quality Index (PSQI)) and presence of comorbidities in people with MS (n = 1597). Associations between comorbidities and sleep quality were examined using linear regression and dominance analysis. Results: Having more comorbidities was associated with poorer sleep quality (p for trend < 0.001). All 13 groups of comorbidities explained 12.9% of the variance in PSQI from which half of the variance was contributed by mental health disorders. In total, 16 of the 28 comorbidities were associated with significantly worse sleep quality, with the strongest associations seen for ‘other autoimmune diseases’ (β = 1.98), depression (β = 1.76), anxiety (β = 1.72) and rheumatoid arthritis (β = 1.62). Conclusions: Many individual comorbidities are associated with poorer sleep quality, with mental health disorders making the largest relative contribution. Optimal management of comorbidities that make the greatest contributions could have the largest benefit for improving sleep in MS.

Maternal metabolic conditions as predictors of breastfeeding outcomes: Insights from an Australian cohort study.

Breastfeeding represents an important opportunity to optimize health outcomes for both mother and infant, particularly in the context of maternal metabolic conditions such as diabetes and polycystic ovary syndrome. However, evidence suggests that women affected by these conditions breastfeed at reduced rates and durations. Our aim was to use the large, prospective, community-based Australian Longitudinal Study on Women's Health (ALSWH) to conduct an in-depth exploratory analysis of breastfeeding outcomes in Australian women affected by key maternal metabolic conditions. Data from 12 920 pregnancies to 5605 women from the 1973-1978 birth cohort of the ALSWH were examined. Univariable and multivariable regression using generalized estimating equation models were applied to assess breastfeeding initiation and duration (outcome measures) in relation to key self-reported maternal metabolic diagnoses (pre-gestational type 1 and type 2 diabetes, gestational diabetes, and polycystic ovary syndrome; main explanatory variables). Key sociodemographic and clinical covariates were also considered. Results showed no significant association between specific maternal metabolic diagnoses (pre-gestational or gestational diabetes, or polycystic ovary syndrome) and breastfeeding outcomes. However, maternal body mass index emerged as a key predictor of suboptimal breastfeeding outcomes. Pregnancies affected by maternal obesity were associated with a 2.1-fold increase in the odds of not initiating breastfeeding, after adjusting for other key variables (95% CI 1.67 to 2.60, p < 0.01). Maternal overweight and obesity were, respectively, associated with an adjusted 1.4-fold (95% CI 1.20 to 1.55, p < 0.01) and 1.8-fold increase (95% CI 1.60 to 2.10, p < 0.01) in the odds of a breastfeeding duration less than 6 months. Maternal obesity, rather than any specific maternal metabolic condition, appears to be a key predictor of breastfeeding outcomes in Australian women.

Physical activity across midlife and health-related quality of life in Australian women: A target trial emulation using a longitudinal cohort.

There is little long-term causal evidence on the effect of physical activity on health-related quality of life. This study aimed to examine the associations between longitudinal patterns of physical activity over 15 years and health-related quality of life in both the physical and mental health domains, in a cohort of middle-aged Australian women. We used data collected at 3-year intervals (1998 to 2019) from 11,336 participants in the Australian Longitudinal Study on Women's Health (ALSWH) (1946 to 1951 birth cohort). Primary outcomes were the physical (PCS) and mental health component summary (MCS) scores (range from 0 to 100; higher scores indicate higher perceived physical/mental health) from the SF-36 in 2019 (when women aged 68 to 73 years). Using target trial emulation to imitate a randomized controlled trial (RCT), we tested 2 interventions: (1) meeting the World Health Organization (WHO) physical activity guidelines consistently throughout the 15-year "exposure period" (2001 to 2016; when women aged 50-55 to 65-70 years; physical activity assessed every 3 years); and (2) not meeting the guidelines at the beginning of the exposure period but starting to first meet the guidelines at age 55, 60, or 65; against the control of not meeting the guidelines throughout the exposure period. Analysis controlled for confounding using marginal structural models which were adjusted for sociodemographic and health variables and conditions. Consistent adherence to guidelines during the exposure period (PCS: 46.93 [99.5% confidence interval [CI]: 46.32, 47.54]) and first starting to meet the guidelines at age 55 (PCS: 46.96 [99.5% CI: 45.53, 48.40]) were associated with three-point higher PCS (mean score difference: 3.0 [99.5% CI: 1.8, 4.1] and 3.0 [99.5% CI:1.2, 4.8]) than consistent non-adherence (PCS: 43.90 [99.5% CI: 42.79, 45.01]). We found a similar pattern for most SF-36 subscales but no significant effects of the interventions on MCS. The main limitations of the study were that it may not account for all underlying health conditions and/or other unmeasured or insufficiently measured confounders, the use of self-reported physical activity and that findings may not be generalizable to all mid-age women. Results from the emulated RCT suggest women should be active throughout mid-age, ideally increasing activity levels to meet the guidelines by age 55, to gain the most benefits for physical health in later life.