Developing a national strategy of consumer and community involvement (CCI) for women's health research.

OBJECTIVE: To develop a consumer and community involvement (CCI) strategy for the Women's Health Research, Translation and Impact Network (WHRTN), an initiative of the Australian Health Research Alliance (AHRA). TYPE OF PROGRAM: A national network, comprising representatives from 14 nationally-accredited research translation centres that aims to embed CCI at a systems level, to improve equity and health outcomes across women's health. METHODS: A CCI Sub-Committee of WHRTN was established, chaired by a Consumer Advisor/Advocate. This committee invited both internal and external Consumer Advisor/Advocates to participate in a workshop, to guide the development of WHRTN's CCI Strategy in women's health research. RESULTS: A CCI Strategy document was written with input from workshop attendees and leading academics in women's health and has now been implemented into WHRTN, informing all aspect of the Network's programs and activities. DISCUSSION: Broad and early consumer involvement can facilitate meaningful partnerships between researchers and community, and enable genuine consumer contributions to research across strategy development, priority setting and undertaking research. Appropriate finances and time need to be allocated for CCI, with training in CCI a key enabler for its effective implementation.

Consumer and community involvement in research is increasingly recognised as an important component of high-quality research. It is now required by many research funders and organisations. However, researchers and organisations often struggle with how to initiate and implement consumer and community involvement at a systems level. In this paper, we outline the processes used to develop a national consumer and community involvement strategy for the Australian Health Research Alliance, Women's Health Research Translation and Impact Network. This provides a roadmap of how organisations can achieve a framework that supports consumer and community involvement across the research pathway. The strategy highlights the need for broad and early inclusion of consumers in decision making, financing consumer involvement, allowing time to build partnerships, and inclusion of training for researchers and consumers.

Do mothers or females without children have better health-related quality of life across their reproductive years?

PURPOSE: To compare health-related quality of life (HRQoL) between mothers and females who were voluntarily or involuntarily childless, across their reproductive years. METHODS: 4100 females born in 1973-78 from the Australian Longitudinal Study on Women's Health were followed for 22 years. Motherhood status was defined by females' reports in Survey 8 (2018, 40-45 years) on their fertility, attempts to conceive, use of in vitro fertilization and fertility hormones, and number of children. HRQoL was assessed in each survey using the 36-Item Short Form Survey (SF-36). Linear mixed models were used to assess the associations between motherhood status and HRQoL. RESULTS: Over 22 years, compared with females who were voluntarily childless, mothers on average had better HRQoL (shown by scores 1.5 to 3.4 points higher on five of the eight SF-36 subscales), while females who were involuntarily childless scored 2.2 to 3.0 points lower on three of eight SF-36 subscales. Compared with females who were voluntarily childless, teen mothers (age at first birth < 20 years) scored lower on role limitations due to physical problems subscale (b = -5.5, 95% CI: -9.3, -1.6), while females with either two, or three or more children scored 1.6 to 4.8 points higher on seven of eight SF-36 subscales. CONCLUSIONS: Females who were childless had poorer HRQoL than mothers. Further research is needed to understand the underlying mechanisms, which could inform policymakers on how to reduce the health disparities and improve long-term health outcomes for females.

Childhood socioeconomic disadvantage and risk of physical multimorbidity in later life: The mediating role of depression.

OBJECTIVE: To assess the impact of childhood socioeconomic disadvantage (SED) on the risks of depression and physical multimorbidity in later life and to explore whether depression mediates the association between childhood SED and physical multimorbidity. METHODS: Data on 8214 adults from the China Health and Retirement Longitudinal Study were analyzed. The mean (SD) age of the study population was 57.0 (8.0) years at baseline (2011) and 51.9 % were females. Multivariable logistic regressions were used to examine the associations of childhood SED (indexed by food insecurity, highest education level of parents, and self-perceived household financial situation, and scored 0-3) with later-life depression (scored ≥10 on the 10-item Center for Epidemiologic Studies Depression Scale) and physical multimorbidity (having two or more doctor-diagnosed chronic conditions) assessed in the 2018 follow-up survey. Mediation analysis was conducted in the overall sample and further stratified by sex to estimate the degree to which the association between childhood SED and physical multimorbidity could be explained by baseline depression. RESULTS: Participants with a childhood SED score of 3 (i.e., the most disadvantaged) had 2.63 (95 % confidence interval [CI]: 1.91-3.63) times and 2.08 (95 % CI: 1.56-2.77) times higher odds of depression and physical multimorbidity respectively compared with those who had a score of 0 (i.e., the least disadvantaged). Depression mediated 20 % of the association between childhood SED and physical multimorbidity (36 % in females and 5 % in males). CONCLUSIONS: Childhood SED was associated with higher risks of depression and physical multimorbidity in later life, and the association of childhood SED with physical multimorbidity was mediated by depression, especially among females.

Excess healthcare costs of psychological distress in young women: Evidence from linked national Medicare claims data.

The prevalence of mental health disorders in young adults is increasing, yet there is limited empirical evidence on its economic consequences. We contribute to the literature by estimating the healthcare costs of psychological distress using panel data of young women (aged 18-23 years with a 5-year follow-up) from the Australian Longitudinal Study on Women's Health and linked administrative data from Medicare Australia. Our empirical strategy is based on the classical two-part model of healthcare costs with individual specific fixed-effects. We complement our analysis with a test for selection on unobservables to address potential concerns of endogeneity. We find that young women with psychological distress have 15% higher annual healthcare costs (excluding hospital costs) than women with no psychological distress. A large proportion of these costs is driven by the use of antidepressants and the services of psychiatrists and psychologists. We further find that women with psychological distress have higher out-of-pocket costs on these mental health related services compared to non-mental health specific services. Additionally, we show that the effect of psychological distress on healthcare costs is highest during the first 6 months of onset, which gradually decreases afterwards. The findings justify the importance of policy initiatives towards early prevention and treatment of psychological distress, especially among young women.

Maternal factors associated with interbirth intervals in Australia: Results from a population-based longitudinal study.

BACKGROUND AND OBJECTIVE: Short and long intervals between successive births are associated with adverse birth outcomes, especially in low-income and middle-income countries, yet the birth intervals in high-income countries remain relatively understudied. The aim was to examine maternal factors associated with birth intervals in Australia. METHODS: The sample comprised 6130 participants in the Australian Longitudinal Study on Women's Health who were born in 1973-1978, had two or more births, and responded to regular surveys between 1996 and 2018. Interbirth interval (IBI) was defined as the time between successive live births. Maternal factors were examined using accelerated failure time models. RESULTS: For women with only two births (n = 3802), the median time to the second birth was 34.0 months (IQR 23.1, 46.2) with shorter IBI associated with higher socioeconomic status (eg, university education (31.9 months), less income stress (31.1)), and longer IBI associated with age over 35 (39.7), fair/poor health (43.0), untreated fertility problems (45.5), miscarriage (39.4), or abortion (41.0). For women with three or more births (n = 2328), the median times to the second and third births were 31.2 months (19.9, 42.1) and 36.5 months (25.3, 50.1), respectively; some factors were consistent between the first IBI and second IBI (eg, university education and being married were associated with shorter IBI), whereas income stress was associated with longer first IBI but not with second IBI. CONCLUSIONS: Understanding maternal factors associated with birth intervals in a high-income country like Australia may enable more nuanced tailoring of guidelines for prepregnancy care.

Rates, costs and determinants of lumbar spine imaging in population-based women born in 1973-1978: Data from the Australian Longitudinal Study on Women's Health.

OBJECTIVE: There are concerns that lumbar spine imaging represents low value care. Our aim was to examine the use of lumbar spine imaging [radiography, computed tomography (CT), magnetic resonance imaging (MRI)] over 20 years, and costs and person-level characteristics of imaging in a large cohort of Australian women. METHODS: The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey of women randomly selected from national health insurance scheme (Medicare) database. This study examined 13458 women born in 1973-1978 who consented to link their ALSWH and Medical Benefits Scheme records. Self-reported data on demographics, body mass index, depression, physical and mental health, and back pain were collected in each survey performed in 1996, 2000, 2003, 2006, 2009, 2012, and 2015. Data on lumbar spine imaging from 1996 to 2015 were obtained from the Medical Benefits Scheme database. RESULTS: 38.9% of women underwent some form of lumbar spine imaging over 20 years. While radiography increased from 1996 to 2011 and decreased thereafter, CT and MRI continued to increase from 1996 to 2015. In women with self-reported back pain, depression and poorer physical health were associated with imaging, with no significant differences in types of imaging. Based on imaging rates in ALSWH, the estimated costs for Australian women aged 30-39 years were AU$51,735,649 over 2011-2015. CONCLUSIONS: Lumbar spine imaging was common in population-based Australian women, with rates increasing over 20 years. Depression and poor physical health were associated with lumbar spine imaging. Raising awareness of this in clinicians is likely to result in significant cost savings if clinical guidelines are followed, with the potential of freeing resources for high value care and health outcomes.

The Preconception Period analysis of Risks and Exposures Influencing health and Development (PrePARED) consortium.

BACKGROUND: Preconception health may have intergenerational influences. We have formed the PrePARED (Preconception Period Analysis of Risks and Exposures influencing health and Development) research consortium to address methodological, conceptual, and generalisability gaps in the literature. OBJECTIVES: The consortium will investigate the effects of preconception exposures on four sets of outcomes: (1) fertility and miscarriage; (2) pregnancy-related conditions; (3) perinatal and child health; and (4) adult health outcomes. POPULATION: A study is eligible if it has data measured for at least one preconception time point, has a minimum of selected core data, and is open to collaboration and data harmonisation. DESIGN: The included studies are a mix of studies following women or couples intending to conceive, general-health cohorts that cover the reproductive years, and pregnancy/child cohort studies that have been linked with preconception data. The majority of the participating studies are prospective cohorts, but a few are clinical trials or record linkages. METHODS: Data analysis will begin with harmonisation of data collected across cohorts. Initial areas of interest include nutrition and obesity; tobacco, marijuana, and other substance use; and cardiovascular risk factors. PRELIMINARY RESULTS: Twenty-three cohorts with data on almost 200 000 women have combined to form this consortium, begun in 2018. Twelve studies are of women or couples actively planning pregnancy, and six are general-population cohorts that cover the reproductive years; the remainder have some other design. The primary focus for four was cardiovascular health, eight was fertility, one was environmental exposures, three was child health, and the remainder general women's health. Among other cohorts assessed for inclusion, the most common reason for ineligibility was lack of prospectively collected preconception data. CONCLUSIONS: The consortium will serve as a resource for research in many subject areas related to preconception health, with implications for science, practice, and policy.

Progression of diabetes, heart disease, and stroke multimorbidity in middle-aged women: A 20-year cohort study.

BACKGROUND: The prevalence of diabetes, heart disease, and stroke multimorbidity (co-occurrence of two or three of these conditions) has increased rapidly. Little is known about how the three conditions progress from one to another sequentially through the life course. We aimed to delineate this progression in middle-aged women and to determine the roles of common risk factors in the accumulation of diabetes, heart disease, and stroke multimorbidity. METHODS AND FINDINGS: We used data from 13,714 women aged 45-50 years without a history of any of the three conditions. They were participants in the Australian Longitudinal Study on Women's Health (ALSWH), enrolled in 1996, and surveyed approximately every 3 years to 2016. We characterized the longitudinal progression of the three conditions and multimorbidity. We estimated the accumulation of multimorbidity over 20 years of follow-up and investigated their association with both baseline and time-varying predictors (sociodemographic factors, lifestyle factors, and other chronic conditions). Over 20 years, 2,511 (18.3%) of the women progressed to at least one condition, of whom 1,420 (56.6%) had diabetes, 1,277 (50.9%) had heart disease, and 308 (12.3%) had stroke; 423 (16.8%) had two or three of these conditions. Over a 3-year period, the age-adjusted odds of two or more conditions was approximately twice that of developing one new condition compared to women who did not develop any new conditions. For example, the odds for developing one new condition between Surveys 7 and 8 were 2.29 (95% confidence interval [CI], 1.93-2.72), whereas the odds for developing two or more conditions was 6.51 (95% CI, 3.95-10.75). The onset of stroke was more strongly associated with the progression to the other conditions (i.e., 23.4% [95% CI, 16.3%-32.2%] of women after first onset of stroke progressed to other conditions, whereas the percentages for diabetes and heart disease were 9.9% [95% CI, 7.9%-12.4%] and 11.4% [95% CI, 9.1%-14.4%], respectively). Being separated, divorced, or widowed; being born outside Australia; having difficulty managing on their available income; being overweight or obese; having hypertension; being physically inactive; being a current smoker; and having prior chronic conditions (i.e., mental disorders, asthma, cancer, osteoporosis, and arthritis) were significantly associated with increased odds of accumulation of diabetes, heart disease, and stroke multimorbidity. The main limitations of this study were the use of self-reported data and the low number of events. CONCLUSIONS: Stroke was associated with increased risk of progression to diabetes or heart disease. Social inequality, obesity, hypertension, physical inactivity, smoking, or having other chronic conditions were also significantly associated with increased odds of accumulating multimorbidity. Our findings highlight the importance of awareness of the role of diabetes, heart disease, and stroke multimorbidity among middle-aged women for clinicians and health-promotion agencies.

Improvements in physical function and pain sustained for up to 10 years after knee or hip arthroplasty irrespective of mental health status before surgery.

Background and purpose - There are concerns that mental health (MH) may influence outcomes of total knee arthroplasty (TKA) or total hip arthroplasty (THA). We examined effects of poor MH before surgery on long-term outcomes of osteoarthritis-related TKA or THA in women. Patients and methods - The data were from 9,737 middle-aged participants (47-52 years) and 9,292 older participants (73-78 years) in the Australian Longitudinal Study on Women's Health who completed surveys between 1998 and 2013. Dates of arthroplasties were obtained from the Australian Orthopaedics Association National Joint Replacement Registry. Participants without procedures were matched with participants with procedures. Trajectories of the Short-Form 36 scores for physical functioning, bodily pain, social functioning, and mental health based on mixed modeling were plotted for participants with and without surgery (stratified according to mental health, separately for TKA and THA, and for middle-aged and older participants). Results - In middle-aged women with poor and good MH, TKA improved physical function and reduced bodily pain, with improvements sustained up to 10 years after surgery. TKA contributed to restoration of social function in women with good MH, but this was less clear in women with poor MH. In both MH groups, mental health appeared to be unaffected by TKA. Similar patterns were observed after THA, and in older women. Interpretation - Recovery of physical and social function and reductions in pain were sustained for up to 10 years after surgery. Improvements in physical function and pain were also observed in women with poor mental health. Thus, in our view poor mental health should not be a contraindication for arthroplasty.

Lifestyle and Socioeconomic Determinants of Multimorbidity Patterns among Mid-Aged Women: A Longitudinal Study.

BACKGROUND: Little is known about patterns of associative multimorbidity and their aetiology. We aimed to identify patterns of associative multimorbidity among mid-aged women and the lifestyle and socioeconomic factors associated with their development. METHODS: Participants were from the Australian Longitudinal Study on Women's Health. We included 4896 women born 1946-51, without multimorbidity in 1998. We identified multimorbidity patterns at survey 6 (2010) using factor analysis, and related these patterns to baseline lifestyle and socioeconomic factors using logistic regression. We dichotomised factor scores and determined odds ratios (ORs) with 95% confidence intervals (CIs) for associations between characteristics and odds of a high versus low factor score. RESULTS: We identified five multimorbidity patterns: psychosomatic; musculoskeletal; cardiometabolic; cancer; and respiratory. Overweight and obesity were respectively associated with increased odds of having a high score for the musculoskeletal (adjusted ORs 1.45 [95% CI 1.23, 1.70] and 2.14 [95% CI 1.75, 2.60]) and cardiometabolic (adjusted ORs 1.53 [95% CI 1.31, 1.79] and 2.46 [95% CI 2.02, 2.98]) patterns. Physical inactivity was associated with increased odds of a high score for the psychosomatic, musculoskeletal and cancer patterns (adjusted ORs 1.41 [95% CI 1.13, 1.76]; 1.39 [95% CI 1.11, 1.74]; and 1.35 [95% CI 1.08, 1.69]). Smoking was associated with increased odds of a high score for the respiratory pattern. Education and ability to manage on income were associated with increased odds of a high score for the psychosomatic pattern (adjusted ORs 1.34 [95% CI 1.03, 1.75] and 1.73 [95% CI 1.37, 1.28], respectively) and musculoskeletal pattern (adjusted ORs 1.43 [95% CI 1.10, 1.87] and 1.38 [1.09, 1.75], respectively). CONCLUSIONS: Distinct multimorbidity patterns can be identified among mid-aged women. Social inequality, physical activity and BMI are risk factors common to multiple patterns and are appropriate targets for reducing the risk of specific multimorbidity groups in mid-life women.

The Effect of Socioeconomic Status Across Adulthood on Trajectories of Frailty in Older Women.

BACKGROUND: To investigate whether distinct trajectories of frailty exist in older women and whether they are associated with measures of socioeconomic status (SES) across adulthood. METHODS: Participants were 7484 women born in 1921-1926 from the Australian Longitudinal Study on Women's Health who were surveyed every 3 years from 1999 to 2011. Frailty was measured at each survey using the FRAIL scale. Group-based trajectory modeling was used to assess patterns of frailty. Multinomial logistic regression was used to examine associations of trajectories with SES (level of education, occupation, and ability to manage on income) across adulthood. RESULTS: Three trajectory groups were identified: low (19.5%), increasing (40.7%), and high (39.9%). Compared with women in the increasing frailty group, those who reported difficulty managing on their income in 1999 were less likely to be in the low frailty group (relative risk ratio 0.57, 95% confidence interval 0.39-0.84) and more likely to be in the high frailty group (relative risk ratio 2.65, 95% confidence interval 2.07-3.39), after adjusting for other SES variables, age, and social support. Occupation and education were not associated with trajectories of frailty. CONCLUSIONS: Some women remain frailty free until age 85-90 years. The strongest impact on frailty is late-life SES.

Smoking and trajectories of dysmenorrhoea among young Australian women.

OBJECTIVE: To investigate the association of cigarette smoking at baseline and trajectories of dysmenorrhoea in a large sample of Australian women. DESIGN: A prospective cohort study. SETTING: Australian (population-based survey). PARTICIPANTS: A total of 9067 young women, with at least three measures of dysmenorrhoea, randomly sampled from the national Medicare database and followed up from 2000 to 2012. MAIN OUTCOME MEASURES: Trajectories of dysmenorrhoea. RESULTS: At baseline, approximately 25% reported dysmenorrhoea and 26% were current smokers. Four trajectory groups were identified for dysmenorrhoea: normative (42%), late onset (11%), recovering (33%) and chronic (14%), with the chronic group showing high probabilities of reporting dysmenorrhoea over time. Compared with never-smokers, a significantly higher odds of being in the chronic group was detected for smokers, with ORs being 1.33 (95% CI 1.05 to 1.68) for ex-smokers and 1.41 (95% CI 1.17 to 1.70) for current smokers, after adjusting for sociodemographic, lifestyle and reproductive factors. An inverse relationship was identified for earlier age of smoking initiation, with the respective ORs of 1.59 (95% CI 1.18 to 2.15), 1.50 (95% CI 1.18 to 1.90) and 1.26 (95% CI 1.03 to 1.55) for initiation of smoking ≤13, 14-15 or ≥16 years. No consistent relationship was evident between smoking behaviour and the odds of being in the other trajectory groups. CONCLUSIONS: Smoking and early initiation of smoking are associated with increased risk of chronic dysmenorrhoea. The immediate adverse health effects of smoking provide further support for smoking prevention programme to target young women, especially teenagers.

Healthy Living after Cancer: a dissemination and implementation study evaluating a telephone-delivered healthy lifestyle program for cancer survivors.

BACKGROUND: Given evidence shows physical activity, a healthful diet and weight management can improve cancer outcomes and reduce chronic disease risk, the major cancer organisations and health authorities have endorsed related guidelines for cancer survivors. Despite these, and a growing evidence base on effective lifestyle interventions, there is limited uptake into survivorship care. METHODS/DESIGN: Healthy Living after Cancer (HLaC) is a national dissemination and implementation study that will evaluate the integration of an evidence-based lifestyle intervention for cancer survivors into an existing telephone cancer information and support service delivered by Australian state-based Cancer Councils. Eligible participants (adults having completed cancer treatment with curative intent) will receive 12 health coaching calls over 6 months from Cancer Council nurses/allied health professionals targeting national guidelines for physical activity, healthy eating and weight control. Using the RE-AIM evaluation framework, primary outcomes are service-level indicators of program reach, adoption, implementation/costs and maintenance, with secondary (effectiveness) outcomes of patient-reported anthropometric, behavioural and psychosocial variables collected at pre- and post-program completion. The total participant accrual target across four participating Cancer Councils is 900 over 3 years. DISCUSSION: The national scope of the project and broad inclusion of cancer survivors, alongside evaluation of service-level indicators, associated costs and patient-reported outcomes, will provide the necessary practice-based evidence needed to inform future allocation of resources to support healthy living among cancer survivors. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ANZCTR)--ACTRN12615000882527 (registered on 24/08/2015).

Does Further Education in Adulthood Improve Physical and Mental Health among Australian Women? A Longitudinal Study.

OBJECTIVE: We analyzed whether further education in young adult and mid-life [adult educational mobility] influences physical functioning and depressive symptoms in women. METHODS: 14247 women born 1973-78 (younger cohort) and 13715 women born 1946-51 (mid-aged cohort) from the Australian Longitudinal Study on Women's Health were followed for 14-16 years. Measures were the Short-Form 36 Health Survey physical functioning subscale (SF-36 PF) and Centre for Epidemiologic Studies 10-item Depression Scale (CESD-10). Linear mixed modelling, accounting for time varying covariates, assessed the influence of further education on physical functioning and depressive symptoms over time. Sensitivity analysis to assess the impact of missing data was conducted using multiple imputation. RESULTS: Compared to younger women with a pre-existing high level of education, women gaining further education (up to age 39 years) from low levels had lower SF-36 PF scores (poorer physical functioning) (fully adjusted beta estimates (95%CIs) -1.52 (-2.59, -0.44)) while those gaining further education from middle to high levels showed equivalent SF-36 PF scores (-0.08 (-0.61, 0.44)). A similar pattern was shown for CESD-10 scores (0.78 (0.29, 1.25); -0.02 (-0.26, 0.21), respectively) where higher scores represented more depressive symptoms. For mid-age women, further education from a middle to high level resulted in equivalent SF-36 PF scores (-0.61 (-1.93,0.71)) but higher CESD-10 scores (0.49 (0.11, 0.86)), compared to highly educated women. CONCLUSION: Women who delay further education until they are aged between their 40s and 60s can improve or maintain their physical functioning but may have missed the critical time to minimise depressive symptomatology. Public health policy should focus on encouraging women to upgrade their educational qualifications earlier in life in order to potentially offset the negative associations between their initial lower socio-economic position class of origin and their mental health.

Body mass index and socioeconomic position are associated with 9-year trajectories of multimorbidity: A population-based study.

Multimorbidity is a growing public health problem and is more common in women than men. However, little is known about multimorbidity trajectories, in terms of the accumulation of disease over time, or about the determinants of these trajectories. We sought to identify lifestyle and socioeconomic factors related to multimorbidity trajectories in mid-aged women. Participants were from the Australian Longitudinal Study on Women's Health, a nationally representative population-based study. We included 4865 women born 1946-51, without chronic disease in 1998, followed triennially for 12 years. We used latent class growth analysis to identify 9-year multimorbidity trajectories and multinomial regression to calculate relative risk ratios (RRRs) for associations between baseline lifestyle and socioeconomic factors and trajectories. We identified five multimorbidity trajectories: 'no morbidity, constant'; 'low morbidity, constant'; 'moderate morbidity, constant'; 'no morbidity, increasing'; and 'low morbidity, increasing'. Overweight and obesity were associated with an increased risk of the 'no morbidity, increasing' (RRR 1.70, 95% CI 1.16 to 2.50 and 2.69, 95% CI 1.69 to 4.28, respectively) and the 'low morbidity, increasing' (RRR 2.57, 95% CI 1.56 to 4.24 and 4.28, 95% CI 2.41 to 7.60, respectively) trajectories, as compared to the 'no morbidity, constant' group. Low education and difficulty managing on income were also associated with trajectories of poorer health. Among mid-aged women, overweight/obesity and lower socioeconomic status are major risk factors for trajectories characterised by accumulation of chronic disease. These highlight key target areas for preventive approaches aimed at reducing the risk of accumulation of morbidities in mid-aged women.

Socioeconomic position, lifestyle factors and age at natural menopause: a systematic review and meta-analyses of studies across six continents.

BACKGROUND: Age at natural menopause (ANM) is considered a marker of biological ageing and is increasingly recognized as a sentinel for chronic disease risk in later life. Socioeconomic position (SEP) and lifestyle factors are thought to be associated with ANM. METHODS: We performed a systematic review and meta-analyses to determine the overall mean ANM, and the effect of SEP and lifestyle factors on ANM by calculating the weighted mean difference (WMD) and pooling adjusted hazard ratios. We explored heterogeneity using meta-regression and also included unpublished findings from the Australian Longitudinal Study on Women's Health. RESULTS: We identified 46 studies across 24 countries. Mean ANM was 48.8 years [95% confidence interval (CI): 48.3, 49.2], with between-study heterogeneity partly explained by geographical region. ANM was lowest among African, Latin American, Asian and Middle Eastern countries and highest in Europe and Australia, followed by the USA. Education was associated with later ANM (WMD middle vs low education 0.30, 95% CI: 0.10, 0.51; high vs low education 0.64, 95% CI 0.26, 1.02). A similar dose-response relationship was also observed for occupation. Smoking was associated with a 1-year reduction of ANM (WMD: -0.91, 95% CI: -1.34, -0.48). Being overweight and moderate/high physical activity were modestly associated with later ANM, but findings were less conclusive. CONCLUSIONS: ANM varies across populations, partly due to differences across geographical regions. SEP and some lifestyle factors are associated with ANM, but further research is needed to examine the impact of the associations between risk factors and ANM on future health outcomes.

Childhood and maternal effects on physical health related quality of life five decades later: the British 1946 birth cohort.

Limited research has been done on the relationships between childhood factors and adult physical health related quality of life, with the underlying pathways not fully elucidated. Data from 2292 participants of the British 1946 birth cohort were used to examine the relationship of childhood characteristics and family environment with principal component summary (PCS) scores and the physical functioning (PF) subscale of the SF-36 at age 60-64 years. Impaired physical functioning was defined as the lowest quartile scores in the PF subscale. Childhood factors (father in manual social class versus non-manual (ß =  -2.34; 95%CI: -3.39, -1.28) and poor maternal health versus good/excellent maternal health (ß =  -6.18; -8.78, -3.57)) were associated with lower PCS scores at 60-64 years. Adult health behaviours (increasing BMI, lifelong smoking, and lower physical activity) at 53 years were identified as strong risk factors for lower PCS scores. After adjusting for these factors and education level (N = 1463), only poor maternal health remained unattenuated (ß =  -5.07; -7.62, -2.51). Similarly poor maternal health doubled the risk of reporting impaired PF (Odds ratio =  2.45; 95%CI: 1.39, 4.30); serious illness in childhood (OR = 1.44; 1.01, 2.06) and lower educational level attained were also risk factors for impaired PF (N = 1526). While findings suggest the influence of father's social class on physical health related quality of life are mediated by modifiable adult social factors and health behaviours; health professionals should also be mindful of the inter-generational risk posed by poor maternal health on the physical health related quality of life of her offspring almost five decades later.

Health care costs associated with prolonged sitting and inactivity.

BACKGROUND: Physical inactivity and prolonged sitting are associated with negative health outcomes. PURPOSE: To examine the health-related costs of prolonged sitting and inactivity in middle-aged women. METHODS: Australian Longitudinal Study on Women's Health participants (born 1946-1951) answered questions about time spent sitting, walking, and in moderate and vigorous leisure activities in 2001 (n=6108); 2004 (n=5902); 2007 (n=5754); and 2010 (n=5535) surveys. Sitting time was categorized as low (0-4); moderate (5-7); and high (≥8 hours/day). Physical activity was categorized as inactive (<40); low (40-600); moderate (600-1200); and high (≥1200 MET-minutes/week). National health insurance claims data averaged over the survey year ±1 year were used to calculate annual costs (Australian dollars [AU$]). Differences between categories in median costs were estimated using quantile regression over four surveys with bootstrapped 95% CIs. Analyses were performed in 2013. RESULTS: In 2010, annual median costs were AU$689 (interquartile range [IQR]=274, 1541) in highly active participants; AU$741 (IQR=279, 1690) in inactive participants; AU$671 (IQR=273, 1551) in participants with low sitting time; and AU$709 (IQR=283, 1575) in participants with high sitting time. The difference in median costs for inactive and highly active participants was AU$94 (CI=57, 131) after adjustment for confounders. No statistically significant associations were found between sitting time and costs. When sitting and physical activity were combined, high sitting time did not add to the inactivity-associated increased costs. Associations were consistent across normal-weight, overweight, and obese subgroups. CONCLUSIONS: Physical inactivity, but not prolonged sitting, was associated with higher health-related costs in middle-aged women.

A comparison of SF-36 summary measures of physical and mental health for women across the life course.

BACKGROUND: Physical and mental component summary scores (PCS and MCS, respectively) are often used to summarise SF-36 quality of life subscales. This paper investigates PCS and MCS across the life course and compares the trajectories obtained from two different methods of calculation. METHODS: The Australian Longitudinal Study on Women's Health is a population-based study with three cohorts of women and SF-36 surveys taken at multiple time points. Scoring coefficients for each component score were determined using factor analysis with uncorrelated (orthogonal) and correlated (oblique) rotation at the baseline survey, which were then used to compute correlated and uncorrelated PCS and MCS scores at each survey (scaled to have mean of 50 and standard deviation of 10 at baseline). RESULTS: For both methods, PCS declined progressively across the lifespan, while MCS rose in young and mid-age women to a peak and subsequently declined in later life. Differences were apparent between correlated and uncorrelated scores, most notably for MCS in the older cohort, where correlated MCS reached 54.6 but still less than uncorrelated MCS, with a random effects model indicating 1.63 (95% confidence intervals 1.58-1.67) units difference; it then declined to a score of 51.2 by the last survey and the difference widened to 3.44 (3.38-3.50) units compared with the uncorrelated MCS. CONCLUSIONS: PCS and MCS have distinct trajectories through life, with differences in results from correlated and uncorrelated component summary scores. The divergence is most notable with MCS, especially for older women, suggesting that correlated MCS and PCS should be used when examining change in health over time in this age group.