Hyposalivation is a common adverse effect of anti-neoplastic therapy of head and neck cancer, causing impaired quality of life and predisposition to oral infections. However, data on the effects of hematopoietic stem cell transplantation (HSCT) on salivary secretion are scarce. The present study determined stimulated whole-saliva flow rates in HSCT recipients in comparison with a healthy control group. Stimulated whole-saliva flow rates of 228 allogeneic HSCT recipients (134 males, 94 females; mean age, 43 yrs) were examined pre-HSCT and 6, 12, and 24 months post-HSCT. Healthy individuals (n = 144; 69 males, 75 females; mean age, 46 yrs) served as the control group. Stimulated saliva flow rates (mL/min) were measured and analyzed statistically, stratifying for hematological diagnoses and conditioning therapy. Hyposalivation (≤ 0.7 mL/min) was found in 40% (p < 0.00001), 53% (p < 0.00001), 31% (p < 0.01), and 26% (n.s.) of the recipients pre-HSCT, and 6, 12, and 24 months post-HSCT, respectively, whereas 16% of the control individuals had hyposalivation. Severe hyposalivation (≤ 0.3 mL/min) was found in 11%, 18%, 4%, and 4% of the recipients pre-HSCT, and 6, 12, and 24 months post-HSCT, respectively. Additionally, conditioning regimen and sex had an impact on saliva flow. In conclusion, hyposalivation was observed to be a common but generally reversible complication among HSCT recipients.
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.
Background Several lifestyle factors are associated with an increased risk of colorectal cancer (CRC). Although lifestyle factors co‐occur, in most previous studies these factors have been studied focusing upon a single risk factor or assuming independent effects between risk factors. Aim To examine the pairwise effects and interactions of smoking, alcohol consumption, physical inactivity, and body mass index (BMI) with risk of subsequent colorectal cancer (CRC). Methods and results We used METCA cohort data (pooled data from seven population‐based Finnish health behavior survey studies during years 1972–2015) consisting of 171 063 women and men. Participants' smoking, alcohol consumption, physical inactivity and BMI measures were gathered, and participants were categorized into those exposed and those not exposed. The incidence of CRC was modeled by Poisson regression with main and interaction effects of key lifestyle factors. The cohort members were followed‐up through register linkage to the Finnish Cancer Registry for first primary CRC case until the end of 2015. Follow‐up time was 1715, 690 person years. The highest pairwise CRC risk was among male smokers who had overweight (BMI ≥ 25 kg/m2) (HR 1.75, 95% CI 1.36–2.26) and women who had overweight and consumed alcohol (HR 1.45, 95% CI 1.14–1.85). Overall, among men the association of lifestyle factors and CRC risk was stronger than among women. In men, both having overweight and being a smoker combined with any other adverse lifestyle factor increased CRC risk. Among women, elevated CRC risks were observed for those who were physically inactive and who consumed alcohol or had overweight. No statistically significant interactions were detected between pairs of lifestyle factors. Conclusions This study strengthens the evidence of overweight, smoking, and alcohol consumption as CRC risk factors. Substantial protective benefits in CRC risk can be achieved by preventing smoking, maintaining BMI to <25 kg/m2 and not consuming alcohol.
There is limited evidence for any dietary factor, except alcohol, in breast cancer (BC) risk. Therefore, studies on a whole diet, using diet quality indices, can broaden our insight. We examined associations of the Nordic Diet (mNDI), Mediterranean diet (mMEDI) and Alternative Healthy Eating Index (mAHEI) with postmenopausal BC risk. Five Finnish cohorts were combined including 6374 postmenopausal women with dietary information. In all, 8–9 dietary components were aggregated in each index, higher total score indicating higher adherence to a healthy diet. Cox proportional hazards regression was used to estimate the combined hazard ratio (HR) and 95% confidence interval (CI) for BC risk. During an average 10-year follow-up period, 274 incident postmenopausal BC cases were diagnosed. In multivariable models, the HR for highest vs. lowest quintile of index was 0.67 (95 %CI 0.48–1.01) for mNDI, 0.88 (0.59–1.30) for mMEDI and 0.89 (0.60–1.32) for mAHEI. In this combined dataset, a borderline preventive finding of high adherence to mNDI on postmenopausal BC risk was found. Of the indices, mNDI was more based on the local food culture than the others. Although a healthy diet has beneficially been related to several chronic diseases, the link with the etiology of postmenopausal BC does not seem to be that obvious.
Background: The Population Attributable Fraction (PAF) quantifies the fraction of cancer cases attributable to specific exposures. PAF estimates for the future burden of cancer preventable through modifications to current exposure distributions are lacking. Previous PAF studies have also not compared population subgroup differences. Aim: To apply a novel PAF method and i) assess the future burden of cancer in Australia preventable through modifications to current behaviors, and ii) compare the distribution of the preventable cancer burden between population subgroups. Methods: We harmonized and pooled data from seven Australian cohort studies (N=367058) and linked them to national registries to identify cancers and deaths. We estimated the strength of the associations between behaviors and cancer incidence and death using a proportional hazards model, adjusting for age, sex, study and other risk factors. Exposure prevalence was estimated from contemporary national health surveys. We then combined these estimates to calculate PAFs and their 95% confidence intervals for both individual and joint behavior modifications using a novel method accounting for competing risk of death and risk factor interdependence. We also compared PAFs between population subgroups by calculating the 95% confidence interval of the difference in PAF estimates. Results: During the first 10 years of follow-up, there were 22078 deaths and 27483 incident cancers, including 2025 lung, 3471 colorectal, 640 premenopausal and 2632 postmenopausal breast cancers. The leading preventable cause for lung cancer is current smoking (PAF = 53.7%), for colorectal and postmenopausal breast cancer body fatness or BMI ≥ 25 kg/m2 (PAF = 11.1% and 10.9% respectively), and for premenopausal breast cancer regular alcohol intake (PAF = 12.3%). Three in five lung cancers, but only one in five colorectal and breast cancers, are jointly attributable to potentially modifiable exposures, which also included physical inactivity and inadequate fruit intake for lung, excessive alcohol intake and current smoking for colorectal, regular alcohol intake and current menopausal hormone therapy for 1 year or more for postmenopausal breast and current oral contraceptive use for 5 years or more for premenopausal breast cancer. The cancer burden attributable to modifiable factors is markedly higher in certain population subgroups, including men (lung, colorectal), people with risk factor clustering (lung, colorectal, breast), and individuals with low educational attainment (lung, breast). Conclusion: We provided up-to-date estimates of the future Australian cancer burden attributable to modifiable risk factors, and identified population subgroups that experience the highest preventable burden. Application of the novel PAF method can inform timely public health action to improve health and health equity, by identifying those with the most to gain from programs that support behavior change and early detection.
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Introduction: The majority of studies on the effectiveness of psychotherapy have reported results for relatively short follow-up times. Aims: In this study the effectiveness of short-and long-term psychotherapy was compared during a very long follow-up. Methods: A total of 326 psychiatric outpatients with mood or anxiety disorder were randomly assigned to solution-focused therapy (12 sessions), short-term psychodynamic (20 sessions) and long-term psychodynamic psychotherapy (240 sessions) in Helsinki Psychotherapy Study. The patients were followed from start of treatment and assessed 11 times during a 7-year follow-up. Symptom Check List (anxiety, depression, and general symptom scale), Work-subscale of the Social Adjustment Scale, and use of auxiliary treatment (psychotherapy, psychotropic medication, and psychiatric hospitalization) were used as outcome measures. Results: A reduction in psychiatric symptoms and improvement in work ability and functional capacity was noted in all treatment groups. The short-term therapies were more effective than long-term psychotherapy during the first year, whereas the long-term therapy was more effective after 3 years of follow-up. No significant differences were observed between long-and short-term therapies during the 4 last years of follow-up.A total of 80% of the patients in the short-term therapy groups and 60% in the long-term therapy group used auxiliary treatment. Conclusions: Short-term psychotherapy gives faster benefits than long-term psychotherapy, but in the long run no notable differences in symptoms or working ability are seen. Considerably auxiliary treatments are taken after the end of the intervention implying further need of treatment. These findings should be repeated in other populations.
Aim: To quantify the burden of colorectal cancer in Australia avoidable by modifications to established lifestyle-related risk factors: smoking, excess body weight, excessive red and processed meat consumption, excessive alcohol consumption and physical inactivity. Methods: Data on exposure to lifestyle-related risk factors from seven Australian cohort studies (N = 367,772) were harmonized and pooled. The cohorts were linked to the Australian Cancer Database and National Death Index to identify incident cancers and deaths. The strength of the exposure-cancer and exposure-death associations were estimated using a proportional hazards model, adjusting for age, sex and the other lifestyle exposures. Age- and sex-specific exposure prevalence was estimated from the Australian National Health Survey (NHS) 2011-2012 or from the latest 45 and Up cohort study when not available in the NHS. These estimates were then combined to calculate the Population Attributable Fractions (PAFs), i.e. fractions of cancer attributable to the lifestyle-related risk factors, and their 95% confidence intervals (CIs) using an advanced method accounting for competing risk of death. Results: During the first 10-years follow-up, 3,498 incident colorectal cancers and 20,135 deaths were ascertained as first events. Current or former smoking explained 9% (CI = 5-13%), BMI ≥ 25 kg/m2 9% (CI = 4-14%), red or processed meat consumption 3 or more times/week 6% (CI = 3-8%), and drinking more than 2 alcoholic drinks/day 4% (CI = 2-6%) of the colorectal cancer burden. PAF results for physical inactivity were not significant. The contribution of each factor was more pronounced in men than in women, with most of the burden attributable to excess weight in men (PAF = 15%, CI = 7-22%) and smoking in women (PAF = 7%, CI = 3-12%). Jointly the four significant lifestyle-related risk factors were responsible for 25% (CI = 19-30%) of the colorectal cancer burden, 33% (CI = 25-40%) in men and 15% (CI =7-23%) in women. Given the projected Australian incidence rates, this translates to 49,000 avoidable colorectal cancer cases, 35,000 in men and 14,000 in women, over the next 10 years. Conclusions: These first Australian and international colorectal cancer PAF estimates based on cohort studies and accounting for competing risk of death show that several modifiable risk factors contribute to the burden of colorectal cancer and their ranking differs by sex. Further analyses may identify subpopulations that would benefit from targeted intervention activities. Due to the high incidence of colorectal cancer, these PAF estimates translate into a significant number of avoidable cases. Citation Format: Claire M. Vajdic, Maria Arriaga, Peter Hull, Karen Canfell, Robert MacInnis, Emily Banks, Graham Giles, Paul Mitchell, Robert Cumming, Barbara-Ann Adelstein, Julie Byles, Dianna J. Magliano, Jonathan Shaw, Anne Taylor, Kay Price, Vasant Hirani, Maarit A. Laaksonen. Burden of colorectal cancer attributable to lifestyle-related risk factors: a pooled study of seven Australian cohorts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2279. doi:10.1158/1538-7445.AM2017-2279
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