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Menopausal hormone therapy (MHT) is effective for menopausal symptoms, however, its use is also associated with risks of serious health conditions including breast, ovarian and endometrial cancer, stroke and venous thromboembolism. MHT-related health risks increase with longer durations of use. In Australia, while overall MHT use fell when risk-related findings were published in 2002, a significant number of women continue using MHT long-term. We aimed to examine socio-demographic, health-related and lifestyle characteristics in relation to post-2002 MHT use, and to compare use for <5 and ≥5 years. Data from 1,561 participants from an Australian, national, cross-sectional survey of women aged 50–69 in 2013 were analysed. Odds ratios (ORs) were calculated using logistic regression for characteristics related to overall MHT use post-2002 and multinomial logistic regression for associations between MHT duration of use [never/<5 years/≥5 years] and personal characteristics, adjusting for sociodemographic, reproductive, health and lifestyle factors. Post-2002 MHT use was associated with increasing age (p-trend<0.001), hysterectomy versus no hysterectomy (OR:2.55, 95%CI = 1.85–3.51), bilateral oophorectomy vs no oophorectomy (OR:1.66, 95%CI = 1.09–2.53), and ever- versus never-use of therapies other than MHT for menopausal symptoms (OR:1.93, 95%CI = 1.48–2.57). Women with prior breast cancer (OR:0.35, 95%CI = 0.17–0.74) and with more children (p-trend = 0.034) were less likely than other women to use MHT. Prior hysterectomy was more strongly associated with MHT use for ≥5 years than for <5 years (p = 0.004). Ever-use of non-MHT menopausal therapies was associated with MHT use for <5 years but not with longer-term use (p = 0.004). This study reinforces the need for MHT users and their clinicians to re-evaluate continued MHT use on an ongoing basis. [ABSTRACT FROM AUTHOR]

Background Estimates of the future burden of invasive cancer attributable to current modifiable causal exposures can guide cancer prevention. Methods We linked pooled data from seven Australian cohort studies (N = 367,058) to national cancer and death registries, and estimated exposure-cancer and exposure-death associations using adjusted proportional hazards models. We estimated exposure prevalence from contemporary national health surveys and calculated population attributable fractions (PAFs) and 95% confidence intervals, using advanced methods accounting for competing risk of death. Results Current levels of past and current smoking explain 36.1% (95%CI 33.2%-38.9%), body fatness 13.6% (10.9%-16.2%) and alcohol consumption exceeding two drinks/day 2.3% (1.0%-3.6%) of cancers causally related to these exposures, corresponding to 210,000, 81,300 and 14,800 cancers in Australia in the next 10 years, respectively. Ever smoking is the leading modifiable cause of lung (82.1%), bladder (49.8%), oesophageal (42.8%), liver (39.8%), head and neck (35.6%), and pancreatic (21.3%) cancer burden. Body fatness is the leading modifiable cause of corpus uteri (42.5%), gastric cardia (33.6%), renal cell (29.1%), thyroid (20.1%), colorectal (12.6%) and postmenopausal breast (12.6%) cancer burden. The absolute numbers of cancers in the next 10 years attributable to smoking are highest for lung cancer (114,000). The numbers of cancers attributable to body fatness and alcohol are highest for colorectal cancer (23,000 and 9,900, respectively). Conclusions More reliable advanced methods demonstrate large proportions and numbers of cancers are preventable by modifying behaviours. Key messages Ever smoking and body fatness are the leading causes of preventable future burden of causally related cancers in Australia. [ABSTRACT FROM AUTHOR]

Australia introduced COVID-19 infection prevention and control measures in early 2020. To help prepare health services, the Australian Government Department of Health commissioned a modelled evaluation of the impact of disruptions to population breast, bowel, and cervical cancer screening programmes on cancer outcomes and cancer services. We used the Policy1 modelling platforms to predict outcomes for potential disruptions to cancer screening participation, covering periods of 3, 6, 9, and 12 mo. We estimated missed screens, clinical outcomes (cancer incidence, tumour staging), and various diagnostic service impacts. We found that a 12-mo screening disruption would reduce breast cancer diagnoses (9.3% population-level reduction over 2020-2021) and colorectal cancer (up to 12.1% reduction over 2020-21), and increase cervical cancer diagnoses (up to 3.6% over 2020-2022), with upstaging expected for these cancer types (2, 1.4, and 6.8% for breast, cervical, and colorectal cancers, respectively). Findings for 6-12-mo disruption scenarios illustrate that maintaining screening participation is critical to preventing an increase in the burden of cancer at a population level. We provide programme-specific insights into which outcomes are expected to change, when changes are likely to become apparent, and likely downstream impacts. This evaluation provided evidence to guide decision-making for screening programmes and emphasises the ongoing benefits of maintaining screening in the face of potential future disruptions. [ABSTRACT FROM AUTHOR]