To report rates of perinatal mental health screening from 2000 to 2017 and investigate factors associated with not being screened both antenatally and postnatally more recently (2013–2017).
A ...longitudinal community‐based study of self‐reported perinatal mental health screening with a national sample of 7,566 mothers from the Australian Longitudinal Study on Women's Health reporting on 9,384 children. The main outcome measure was whether mothers were asked about their emotional wellbeing by a health professional, including completing a questionnaire.
From 2000 to 2017, the percentage of women not screened decreased from 40.6% to 1.7%. The percentage of women screened both antenatally and postnatally increased from 21.3% to 79.3%. From 2013 to 2017, women who were older (aOR, 0.65; 95%CI, 0.52–0.81) or had reported emotional distress (aOR, 0.77; 95%CI, 0.60–0.99) were less likely to have been screened both antenatally and postnatally.
Despite improvements, perinatal mental health screening is not yet universal. One‐in‐five women are not screened both antenatally and postnatally, including women in high‐risk populations such as those who have reported emotional distress.
Women are in regular contact with health professionals in the perinatal period. This opportunity to detect women at risk of perinatal mental health issues is too important to be missed.
Symptoms can be strong drivers for initiating interaction with the health system, especially when they are frequent, severe or impact on daily activities. Research on symptoms often use counts of ...symptoms as a proxy for symptom burden, however simple counts don't provide information on whether groups of symptoms are likely to occur together or whether such groups are associated with different types and levels of healthcare use. Women have a higher symptom burden than men; however studies of symptom patterns in young women are lacking. We aimed to characterise subgroups of women in early adulthood who experienced different symptom patterns and to compare women's use of different types of health care across the different symptom subgroups.
Survey and linked administrative data from 7 797 women aged 22-27 years in 2017 from the 1989-95 cohort of the Australian Longitudinal Study on Women's Health were analysed. A latent class analysis was conducted to identify subgroups of women based on the frequency of 16 symptom variables. To estimate the associations between the latent classes and health service use, we used the "Bolck, Croon and Hagenaars" (BCH) approach that takes account of classification error in the assignment of women to latent classes.
Four latent classes were identified, characterised by 1) low prevalence of most symptoms (36.6%), 2) high prevalence of menstrual symptoms but low prevalence of mood symptoms (21.9%), 3) high prevalence of mood symptoms but low prevalence of menstrual symptoms, (26.2%), and high prevalence of many symptoms (15.3%). Compared to the other three classes, women in the high prevalence of many symptoms class were more likely to visit general practitioners and specialists, use more medications, and more likely to have had a hospital admission.
Women in young adulthood experience substantially different symptom burdens. A sizeable proportion of women experience many co-occurring symptoms across both physical and psychological domains and this high symptom burden is associated with a high level of health service use. Further follow-up of the women in our study as they enter their late 20 s and early 30 s will allow us to examine the stability of the classes of symptoms and their associations with general health and health service use. Similar studies in other populations are needed to assess the generalisability of the findings.
Cigarette smoking is associated with earlier menopause, but the impact of being a former smoker and any dose-response relationships on the degree of smoking and age at menopause have been less clear. ...If the toxic impact of cigarette smoking on ovarian function is irreversible, we hypothesized that even former smokers might experience earlier menopause, and variations in intensity, duration, cumulative dose, and age at start/quit of smoking might have varying impacts on the risk of experiencing earlier menopause.
A total of 207,231 and 27,580 postmenopausal women were included in the cross-sectional and prospective analyses, respectively. They were from 17 studies in 7 countries (Australia, Denmark, France, Japan, Sweden, United Kingdom, United States) that contributed data to the International collaboration for a Life course Approach to reproductive health and Chronic disease Events (InterLACE). Information on smoking status, cigarettes smoked per day (intensity), smoking duration, pack-years (cumulative dose), age started, and years since quitting smoking was collected at baseline. We used multinomial logistic regression models to estimate multivariable relative risk ratios (RRRs) and 95% confidence intervals (CIs) for the associations between each smoking measure and categorised age at menopause (<40 (premature), 40-44 (early), 45-49, 50-51 (reference), and ≥52 years). The association with current and former smokers was analysed separately. Sensitivity analyses and two-step meta-analyses were also conducted to test the results. The Bayesian information criterion (BIC) was used to compare the fit of the models of smoking measures. Overall, 1.9% and 7.3% of women experienced premature and early menopause, respectively. Compared with never smokers, current smokers had around twice the risk of experiencing premature (RRR 2.05; 95% CI 1.73-2.44) (p < 0.001) and early menopause (1.80; 1.66-1.95) (p < 0.001). The corresponding RRRs in former smokers were attenuated to 1.13 (1.04-1.23; p = 0.006) and 1.15 (1.05-1.27; p = 0.005). In both current and former smokers, dose-response relationships were observed, i.e., higher intensity, longer duration, higher cumulative dose, earlier age at start smoking, and shorter time since quitting smoking were significantly associated with higher risk of premature and early menopause, as well as earlier menopause at 45-49 years. Duration of smoking was a strong predictor of age at natural menopause. Among current smokers with duration of 15-20 years, the risk was markedly higher for premature (15.58; 11.29-19.86; p < 0.001) and early (6.55; 5.04-8.52; p < 0.001) menopause. Also, current smokers with 11-15 pack-years had over 4-fold (4.35; 2.78-5.92; p < 0.001) and 3-fold (3.01; 2.15-4.21; p < 0.001) risk of premature and early menopause, respectively. Smokers who had quit smoking for more than 10 years had similar risk as never smokers (1.04; 0.98-1.10; p = 0.176). A limitation of the study is the measurement errors that may have arisen due to recall bias.
The probability of earlier menopause is positively associated with intensity, duration, cumulative dose, and earlier initiation of smoking. Smoking duration is a much stronger predictor of premature and early menopause than others. Our findings highlight the clear benefits for women of early smoking cessation to lower their excess risk of earlier menopause.
The purpose of this study was to investigate the associations of childhood sexual abuse and historical intimate partner violence with body mass index and diabetes among mid-age women.
Data from 5782 ...participants in the 1946–51 cohort of the Australian Longitudinal Study on Women's Health were used. The association of abuse reported to have occurred before 1996 with body mass index and incident diabetes during 20 years of follow-up were examined using longitudinal logistic regression. Women who experienced childhood sexual abuse only, historical intimate partner violence only, or both forms of abuse had higher risk of obesity compared to women who did not experience either form of abuse. The associations between experiencing childhood sexual abuse only, historical intimate partner violence only, or both forms of abuse and incident diabetes (adjusted odds ratios, AOR = 1.28, 95%CI = 1.00, 1.65, AOR = 1.27 (1.02, 1.58) and AOR = 1.74 (1.27, 2.38) respectively) were attenuated by adding body mass index and other variables in the model (AOR = 1.16, 95%CI = 0.90, AOR = 1.49, 1.17 (0.94, 1.46) and AOR = 1.41 (1.03, 1.95) respectively) compared with women who did not experience abuse. The clinical implication is that awareness of a woman's early life experience of abuse may provide insight into managing her weight and risk of diabetes.
•Experience of domestic violence has been suggested as a risk factor for diabetes.•Longitudinal data from 5782 Australian women over 20 years were analysed•Childhood sexual abuse and intimate partner violence predicted subsequent diabetes.•The association was only partly attenuated when obesity was taken into account.•Awareness of a history of abuse may help in the management of obesity and diabetes in women.
Menopausal vasomotor symptoms (ie, hot flashes and night sweats) have been associated with unfavorable risk factors and surrogate markers of cardiovascular disease, but their association with ...clinical cardiovascular disease events is unclear.
To examine the associations between different components of vasomotor symptoms, timing of vasomotor symptoms, and risk of cardiovascular disease.
We harmonized and pooled individual-level data from 23,365 women in 6 prospective studies that contributed to the International Collaboration for a Life Course Approach to Women’s Reproductive Health and Chronic Disease Events consortium. Women who experienced cardiovascular disease events before baseline were excluded. The associations between frequency (never, rarely, sometimes, and often), severity (never, mild, moderate, and severe), and timing (before or after age of menopause; ie, early or late onset) of vasomotor symptoms and incident cardiovascular disease were analyzed. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals.
In the adjusted model, no evidence of association was found between the frequency of hot flashes and incident cardiovascular disease, whereas women who reported night sweats “sometimes” (hazard ratio, 1.22; 95% confidence interval, 1.02–1.45) or “often” (hazard ratio, 1.29; 95% confidence interval, 1.05–1.58) had higher risk for cardiovascular disease. Increased severity of either hot flashes or night sweats was associated with higher risk of cardiovascular disease. The hazards ratios of cardiovascular disease in women with severe hot flashes, night sweats, and any vasomotor symptoms were 1.83 (95% confidence interval, 1.22–2.73), 1.59 (95% confidence interval, 1.07–2.37), and 2.11 (95% confidence interval, 1.62–2.76), respectively. Women who reported severity of both hot flashes and night sweats had a higher risk for cardiovascular disease (hazard ratio, 1.55; 95% confidence interval, 1.24–1.94) than those with hot flashes alone (hazard ratio, 1.33; 95% confidence interval, 0.94–1.88) and night sweats alone (hazard ratio, 1.32; 95% confidence interval, 0.84–2.07). Women with either early-onset (hazard ratio, 1.38; 95% confidence interval, 1.10–1.75) or late-onset (hazard ratio, 1.69; 95% confidence interval, 1.32–2.16) vasomotor symptoms had an increased risk for incident cardiovascular disease compared with women who did not experience vasomotor symptoms.
Severity rather than frequency of vasomotor symptoms (hot flashes and night sweats) was associated with increased risk of cardiovascular disease. Vasomotor symptoms with onset before or after menopause were also associated with increased risk of cardiovascular disease.
Although weight change has been studied in relation to many individual chronic conditions, limited studies have focused on weight change and multimorbidity. This study examines the relationship ...between short-term weight change and the accumulation of multimorbidity in midlife.
We used data from 7357 women aged 45-50 years without a history of any chronic conditions. The women were surveyed approximately every 3 years from 1996 to 2016. Associations between short-term weight change and accumulation of multimorbidity (two or more of nine chronic conditions) over each 3-year period, adjusting for baseline body mass index (BMI) or time-varying BMI (3-year period), were examined using repeated measures models. Short-term weight change was categorised into seven groups of annual weight change from high weight loss ( ≤ -5%) to high weight gain (> + 5%).
Over 20 years, 60.4% (n = 4442) of women developed multimorbidity. Baseline BMI, time-varying BMI and short-term weight gain were all associated with the accumulation of multimorbidity. After controlling for sociodemographic, lifestyle factors and menopausal status, high weight gain was associated with a 25% increased odds of multimorbidity (odds ratio (OR) 1.25, 95% confidence interval (CI) 1.08-1.45) compared with maintaining a stable weight. The results were consistent among models adjusting for baseline BMI (OR 1.24, 95% CI 1.07-1.44) or time-varying BMI (OR 1.34, 95% CI 1.16-1.54). Weight loss was associated with increased odds of multimorbidity in women with normal BMI (baseline or time-varying).
Short-term weight gain is associated with significantly increased odds of multimorbidity in mid-aged women. This association is independent from baseline BMI (at 45-50 years) and time-varying BMI. These findings support a persistent weight management regime and prevention of weight gain throughout women's midlife.
Purpose
The 36-item Medical Outcome Study Short Form (SF-36) survey measures health-related quality of life. Age and disease-specific normative values have been published, but a focus on level of ...functioning may be more meaningful in case of multimorbidity. We estimated normative values for Australian women aged 79–90 years according to levels of functioning.
Methods
Data were from 6127 (aged 79–84 in 2005) and 3424 (aged 85–90 in 2011) participants in the Australian Longitudinal Study on Women’s Health. Surveys included the SF-36 and information on housing. Record linkage to assessment data for access to the national program for aged care support was used to obtain information on participants’ need for assistance with 10 activities. Normative values were calculated for physical component (PCS), mental component (MCS), and subscale scores for subsamples defined by types of assistance needed.
Results
At the ages of 79–84, the mean (95% confidence interval) PCS and MCS values for women not any needing assistance were 37.5 (37.2–37.9) and 53.0 (52.8–53.3) compared to 29.0 (27.8–30.2) and 45.9 (44.4–47.4) for women needing any assistance. At ages 85–90, the corresponding PCS values were 34.9 (34.5–35.4) vs. 28.2 (27.4–29.0) and the corresponding MCS values were 53.2 (52.8–53.6) vs. 48.7 (47.8–49.6). Values were higher for participants living in the community or retirement village vs. nursing homes/hostels. The PCS, MCS and 8 subscale values decreased as the need for assistance with more basic activities increased.
Conclusions
These normative values facilitate meaningful interpretation of SF-36 scores from the perspective of level of functioning.
Abstract
STUDY QUESTION
What is the association between menopausal hormone therapy (MHT) and cause-specific mortality?
SUMMARY ANSWER
Self-reported MHT use following early natural menopause, surgical ...menopause or premenopausal hysterectomy is associated with a lower risk of breast cancer mortality and is not consistently associated with the risk of mortality from cardiovascular disease or other causes.
WHAT IS KNOWN ALREADY
Evidence from the Women’s Health Initiative randomized controlled trials showed that the use of estrogen alone is not associated with the risk of cardiovascular mortality and is associated with a lower risk of breast cancer mortality, but evidence from the Million Women Study showed that use of estrogen alone is associated with a higher risk of breast cancer mortality.
STUDY DESIGN, SIZE, DURATION
Cohort study (the UK Biobank), 178 379 women, recruited in 2006–2010.
PARTICIPANTS/MATERIALS, SETTING, METHODS
Postmenopausal women who had reported age at menopause (natural or surgical) or hysterectomy, and information on MHT and cause-specific mortality. Age at natural menopause, age at surgical menopause, age at hysterectomy and MHT were exposures of interest. Natural menopause was defined as spontaneous cessation of menstruation for 12 months with no previous hysterectomy or oophorectomy. Surgical menopause was defined as the removal of both ovaries prior to natural menopause. Hysterectomy was defined as removal of the uterus before natural menopause without bilateral oophorectomy. The study outcome was cause-specific mortality.
MAIN RESULTS AND THE ROLE OF CHANCE
Among the 178 379 women included, 136 790 had natural menopause, 17 569 had surgical menopause and 24 020 had hysterectomy alone. Compared with women with natural menopause at the age of 50–52 years, women with natural menopause before 40 years (hazard ratio (HR): 2.38, 95% CI: 1.64, 3.45) or hysterectomy before 40 years (HR: 1.60, 95% CI: 1.23, 2.07) had a higher risk of cardiovascular mortality but not cancer mortality. MHT use was associated with a lower risk of breast cancer mortality following surgical menopause before 45 years (HR: 0.17, 95% CI: 0.08, 0.36), at 45–49 years (HR: 0.15, 95% CI: 0.07, 0.35) or at ≥50 years (HR: 0.28, 95% CI: 0.13, 0.63), and the association between MHT use and the risk of breast cancer mortality did not differ by MHT use duration (<6 or 6–20 years). MHT use was also associated with a lower risk of breast cancer mortality following natural menopause before 45 years (HR: 0.59, 95% CI: 0.36, 0.95) or hysterectomy before 45 years (HR: 0.49, 95% CI: 0.32, 0.74).
LIMITATIONS, REASONS FOR CAUTION
Self-reported data on age at natural menopause, age at surgical menopause, age at hysterectomy and MHT.
WIDER IMPLICATIONS OF THE FINDINGS
The current international guidelines recommend women with early menopause to use MHT until the average age at menopause. Our findings support this recommendation.
STUDY FUNDING/COMPETING INTEREST(S)
This project is funded by the Australian National Health and Medical Research Council (NHMRC) (grant numbers APP1027196 and APP1153420). G.D.M. is supported by NHMRC Principal Research Fellowship (APP1121844), and M.H. is supported by an NHMRC Investigator Grant (APP1193838). There are no competing interests.
TRIAL REGISTRATION NUMBER
N/A.
Purpose This study aimed to validate a 6-item 1-factor global measure of social support developed from the Medical Outcomes Study Social Support Survey (MOSS-SSS) for use in large epidemiological ...studies. Methods Data were obtained from two large population-based samples of participants in the Australian Longitudinal Study on Women’s Health. The two cohorts were aged 53–58 and 28–33 years at data collection (N = 10,616 and 8,977, respectively). Items selected for the 6-item 1-factor measure were derived from the factor structure obtained from unpublished work using an earlier wave of data from one of these cohorts. Descriptive statistics, including polychoric correlations, were used to describe the abbreviated scale. Cronbach’s alpha was used to assess internal consistency and confirmatory factor analysis to assess scale validity. Concurrent validity was assessed using correlations between the new 6-item version and established 19-item version, and other concurrent variables. Results In both cohorts, the new 6-item 1-factor measure showed strong internal consistency and scale reliability. It had excellent goodness-of-fit indices, similar to those of the established 19-item measure. Both versions correlated similarly with concurrent measures. Conclusion The 6-item 1-factor MOS-SSS measures global functional social support with fewer items than the established 19-item measure.
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