Long-term projections of cancer incidence and mortality in Canada: The OncoSim All Cancers Model.

Using the OncoSim All Cancers Model, we estimated the annual cancer incidence, mortality and cancer management costs in Canada from 2020 to 2040. Incidence for each cancer type was estimated from logistic regression analyses of the Canadian Cancer Registry (1992-2017), with province/territory, sex, five-year age groups and year as covariates. Deaths were estimated by sex and tumour site for cancers diagnosed between 2000 and 2017 (deaths to the end of 2017). The total cost of a cancer type was the sum of costs for individuals across four phases of cancer care. The projections presented in this study were generated based on a simulation of 32 million cases. The OncoSim All Cancers Model projects a 40% increase in the overall number of incident cancer cases from 2020 to 2040. The number of the four most commonly diagnosed cancers in Canada (breast, colorectal, lung, and prostate) are projected to increase annually. The overall number of cancer deaths is projected to increase by 44% from 2020 to 2040. More cancer deaths are projected in males than in females. The age-standardized mortality rate is expected to remain relatively stable over time. Overall cancer management costs are projected to increase from $20.6B in 2020 to $31.4B in 2040. Due mainly to an aging population and population growth in Canada, we estimate that cancer incidence, mortality and cancer management costs will increase considerably between 2020 and 2040. These results highlight the importance of planning for increasing investment and capacity in cancer control.

Prevalence of handheld laser device use, exposure and associated injury.

BACKGROUND: This study assessed the use of and exposure to handheld laser devices by Canadians and the potential associated health risks. DATA AND METHODS: The 2019 Canadian Community Health Survey collected data from 12,397 Canadians on the prevalence of handheld laser exposure or use, and associated eye or skin injuries. RESULTS: In 2019, an estimated 12.4% (95% CI: 11.4% to 13.4%) of Canadians reported using a handheld laser device or being exposed to its beam in the previous year, and those between the ages of 12 and 17 represented 30.5% (95% CI: 26.6% to 34.4%) of users. The highest laser device use or exposure was among those with a university education (13.8%; 95% CI: 11.8% to 15.8%), and a significant trend was found over income categories (p < 0.0001). The highest prevalence of exposure or use involved laser pointers (69.4%; 95% CI: 65.4% to 73.4%), followed by laser toys (38.5%; 95% CI: 34.6% to 42.5%), laser torches (8.2%; 95% CI: 6.1% to 10.4%) and-lastly-search-and-rescue lasers (0.8%E; 95% CI: 0.3% to 1.2%). Overall, 0.7%E (95% CI: 0.2% to 1.2%) of Canadians reported discomfort or injury in the past 12 months. One-quarter (27.9%; 95% CI: 23.8% to 31.9%) of users had a laser beam intentionally directed toward their eyes or skin. Most users did not buy the device (56.3%; 95% CI: 52.1% to 60.5%), while 40.5% (95% CI: 36.2% to 44.7%) purchased it at a Canadian retail store or online (3.8%E; 95% CI: 2.6% to 5.0%). DISCUSSION: The prevalence of handheld laser device use and beam exposure was 12.4% (95% CI: 11.4% to 13.4%), representing approximately 3.9 million Canadians. While the number of reported injuries was low, ongoing surveillance helps assess the effectiveness of current risk management approaches for laser products.

Prevalence of laser beam exposure and associated injuries.

BACKGROUND: An increasing number of consumer laser products are available to Canadians, many being purchased from online retailers. Of particular concern are high-powered, handheld laser devices. This study was conducted to assess the impact of this influx of laser products on the number of laser-associated injuries in Canada. DATA AND METHODS: The rapid response component of the 2014 Canadian Community Health Survey collected data from 19,765 Canadians on the prevalence of laser product exposure and usage, the type of laser product used, and the incidence of eye or skin injuries. RESULTS: Approximately half of Canadians (48.1%) reported using or being exposed to a laser product in the previous 12 months. The highest laser product usage or exposure was among those with university education (58.6%) and those with higher income categories (p ⟨ 0.0001). The highest prevalence of exposure or usage involved laser scanners (38.7%), laser pointers (11.1%) and lasers for entertainment (9.7%). Overall, about 1% of Canadians reported discomfort or injury involving a laser product in the past 12 months. Over half the injuries (59.1%) occurred to the eyes. Most of the injuries (74.9%) resulted from someone else's use of the device. The majority of the reported injuries were caused by lasers for cosmetic treatment or laser pointers. DISCUSSION: Despite the prevalence of laser product usage and exposure among Canadians, a low percentage of respondents reported injuries. This is likely because most laser devices are low-powered and typically do not represent a hazard. Nonetheless, efforts to increase awareness of laser product risks may be beneficial given the findings of this study.

Tanning equipment use: 2014 Canadian Community Health Survey.

BACKGROUND: Tanning equipment use is related to the early onset of cancer, with the risk increasing as the duration and repetition of exposure increase. In 2009, the International Agency for Research on Cancer classified tanning equipment use as carcinogenic to humans, and according to the World Health Organization, the risk of skin melanoma increases significantly when use begins before age 35. DATA AND METHODS: The rapid response component of the 2014 Canadian Community Health Survey collected data on the use of tanning equipment in the previous 12 months, including reasons for use, frequency/duration of use, precautions taken, and adverse reactions or injuries. This analysis examines the prevalence of self-reported indoor tanning in a nationally representative sample of Canadians aged 12 or older in the 10 provinces. RESULTS: In 2014, 4.5% of Canadians (an estimated 1.35 million) reported that they had used tanning equipment in the past year; 70.3% of them were female, and just over half of female users were aged 18 to 34. The prevalence of indoor tanning was highest among people with some postsecondary education and among those in higher income households (trend p-value ⟨ 0.0001). Most users reported fewer than 10 sessions in the past year. The most common reason (62.0%) was to develop a "protective" base tan. INTERPRETATION: Females made up the majority of tanning equipment users, particularly at ages 18 to 34. Efforts to increase awareness of the risks may be beneficial, given the high percentage of users who believed that indoor tanning offers some level of skin protection from future sun exposure.

Estimating annoyance to calculated wind turbine shadow flicker is improved when variables associated with wind turbine noise exposure are considered.

The Community Noise and Health Study conducted by Health Canada included randomly selected participants aged 18-79 yrs (606 males, 632 females, response rate 78.9%), living between 0.25 and 11.22 km from operational wind turbines. Annoyance to wind turbine noise (WTN) and other features, including shadow flicker (SF) was assessed. The current analysis reports on the degree to which estimating high annoyance to wind turbine shadow flicker (HAWTSF) was improved when variables known to be related to WTN exposure were also considered. As SF exposure increased [calculated as maximum minutes per day (SFm)], HAWTSF increased from 3.8% at 0 ≤ SFm < 10 to 21.1% at SFm ≥ 30, p < 0.0001. For each unit increase in SFm the odds ratio was 2.02 [95% confidence interval: (1.68,2.43)]. Stepwise regression models for HAWTSF had a predictive strength of up to 53% with 10% attributed to SFm. Variables associated with HAWTSF included, but were not limited to, annoyance to other wind turbine-related features, concern for physical safety, and noise sensitivity. Reported dizziness was also retained in the final model at p = 0.0581. Study findings add to the growing science base in this area and may be helpful in identifying factors associated with community reactions to SF exposure from wind turbines.

Exposure to wind turbine noise: Perceptual responses and reported health effects.

Health Canada, in collaboration with Statistics Canada, and other external experts, conducted the Community Noise and Health Study to better understand the impacts of wind turbine noise (WTN) on health and well-being. A cross-sectional epidemiological study was carried out between May and September 2013 in southwestern Ontario and Prince Edward Island on 1238 randomly selected participants (606 males, 632 females) aged 18-79 years, living between 0.25 and 11.22 km from operational wind turbines. Calculated outdoor WTN levels at the dwelling reached 46 dBA. Response rate was 78.9% and did not significantly differ across sample strata. Self-reported health effects (e.g., migraines, tinnitus, dizziness, etc.), sleep disturbance, sleep disorders, quality of life, and perceived stress were not related to WTN levels. Visual and auditory perception of wind turbines as reported by respondents increased significantly with increasing WTN levels as did high annoyance toward several wind turbine features, including the following: noise, blinking lights, shadow flicker, visual impacts, and vibrations. Concern for physical safety and closing bedroom windows to reduce WTN during sleep also increased with increasing WTN levels. Other sample characteristics are discussed in relation to WTN levels. Beyond annoyance, results do not support an association between exposure to WTN up to 46 dBA and the evaluated health-related endpoints.

Personal and situational variables associated with wind turbine noise annoyance.

The possibility that wind turbine noise (WTN) affects human health remains controversial. The current analysis presents results related to WTN annoyance reported by randomly selected participants (606 males, 632 females), aged 18-79, living between 0.25 and 11.22 km from wind turbines. WTN levels reached 46 dB, and for each 5 dB increase in WTN levels, the odds of reporting to be either very or extremely (i.e., highly) annoyed increased by 2.60 [95% confidence interval: (1.92, 3.58), p < 0.0001]. Multiple regression models had R(2)'s up to 58%, with approximately 9% attributed to WTN level. Variables associated with WTN annoyance included, but were not limited to, other wind turbine-related annoyances, personal benefit, noise sensitivity, physical safety concerns, property ownership, and province. Annoyance was related to several reported measures of health and well-being, although these associations were statistically weak (R(2 )< 9%), independent of WTN levels, and not retained in multiple regression models. The role of community tolerance level as a complement and/or an alternative to multiple regression in predicting the prevalence of WTN annoyance is also provided. The analysis suggests that communities are between 11 and 26 dB less tolerant of WTN than of other transportation noise sources.

Self-reported and measured stress related responses associated with exposure to wind turbine noise.

The current study was the first to assess stress reactions associated with wind turbine noise (WTN) exposure using self-reported and objective measures. Randomly selected participants, aged 18-79 yr (606 males; 632 females), living between 0.25 and 11.22 km from wind turbines, were exposed to outdoor calculated WTN levels up to 46 dBA (response rate 78.9%). Multiple regression modeling left the great majority (77%-89%) of the variance in perceived stress scale (PSS) scores, hair cortisol concentrations, resting blood pressure, and heart rate unaccounted for, and WTN exposure had no apparent influence on any of these endpoints. PSS scores were positively, but weakly, related to cortisol concentrations and resting heart rate (Pearson r = 0.13 and r = 0.08, respectively). Across WTN categories, modeled mean PSS scores ranged from 13.15 to 13.84 (p = 0.8614). Modeled geometric means for hair cortisol concentrations, resting mean systolic, diastolic blood pressure, and heart rate were 150.54-191.12 ng/g (p = 0.5416), 113.38-116.82 mmHg (p = 0.4990), 67.98-70.34 mmHg (p = 0.5006), and 68.24-70.71 bpm (p = 0.5223), respectively. Irrespective of WTN levels, diastolic blood pressure appeared to be slightly (2.90 mmHg 95% CI: 0.75,5.05) higher among participants highly annoyed by blinking lights on turbines (p = 0.0081). Collectively, the findings do not support an association between exposure to WTN up to 46 dBA and elevated self-reported and objectively defined measures of stress.

An assessment of quality of life using the WHOQOL-BREF among participants living in the vicinity of wind turbines.

Living within the vicinity of wind turbines may have adverse impacts on health measures associated with quality of life (QOL). There are few studies in this area and inconsistent findings preclude definitive conclusions regarding the impact that exposure to wind turbine noise (WTN) may have on QOL. In the current study (officially titled the Community Noise and Health Study or CNHS), the World Health Organization QOL-BREF (WHOQOL-BREF) questionnaire provided an evaluation of QOL in relation to WTN levels among randomly selected participants aged 18-79 (606 males, 632 females) living between 0.25 and 11.22 km from wind turbines (response rate 78.9%). In the multiple regression analyses, WTN levels were not found to be related to scores on the Physical, Psychological, Social or Environment domains, or to rated QOL and Satisfaction with Health questions. However, some wind turbine-related variables were associated with scores on the WHOQOL-BREF, irrespective of WTN levels. Hearing wind turbines for less than one year (compared to not at all and greater than one year) was associated with improved (i.e. higher) scores on the Psychological domain (p=0.0108). Lower scores on both the Physical and Environment domains (p=0.0218 and p=0.0372, respectively), were observed among participants reporting high visual annoyance toward wind turbines. Personal benefit from having wind turbines in the area was related to higher scores on the Physical domain (p=0.0417). Other variables significantly related to one or more domains, included sex, age, marital status, employment, education, income, alcohol consumption, smoking status, chronic diseases and sleep disorders. Collectively, results do not support an association between exposure to WTN up to 46 dBA and QOL assessed using the WHOQOL-BREF questionnaire.

Temporal variation of total mercury levels in the hair of pregnant women from the Maternal-Infant Research on Environmental Chemicals (MIREC) study.

Prenatal exposure to total mercury (T-Hg) comes from both natural and anthropogenic sources. T-Hg can cross the blood-brain and placental barriers, and may be associated with future neurological and physiological dysfunctions. Scalp hair is an optimal and non-invasive indicator of chronic T-Hg exposure. As part of the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, hair samples from 350 women were collected within weeks after giving birth, to determine temporal variations in T-Hg levels from preconception to delivery, and to compare these levels to corresponding levels measured in other matrices (maternal and umbilical cord blood, and infant's meconium). A maximum of 12 one-cm hair segments were cut starting at the scalp; segments closer to the scalp reflected recent exposure (within the last month). For proper comparison, the hair segments were matched with the collection dates for other matrices. GM hair T-Hg levels greatly decreased during pregnancy, from 0.26 µg g-1 (preconception or full-length hair) to 0.18 µg g-1 (at delivery or segments closer to the scalp). A similar decreasing trend was found for T-Hg in maternal blood: 1st trimester (0.60 µg L-1) to 3rd trimester (0.47 µg L-1). The median hair-to-blood ratios of T-Hg levels varied from 364 (1st trimester), to 408 (3rd trimester), to 229 (cord blood). Very low T-Hg levels were detected in meconium. Mercury levels in blood and hair correlated with consumption of large predatory fish.

Potential spawn induction and suppression agents in Caribbean Acropora cervicornis corals of the Florida Keys.

The enhanced ability to direct sexual reproduction may lead to improved restoration outcomes for Acropora cervicornis. Gravid fragments of A. cervicornis were maintained in a laboratory for two sequential trials in the seven days prior to natural spawning in the Florida Keys. Ten replicates of five chemicals known to affect spawning in various invertebrate taxa were tested. Hydrogen peroxide at 2 mM (70%) and L-5-hydroxytryptophan (5-HTP) at 5 (40%) and 20 µM (30%) induced spawning within 15.4 h, 38.8 h and 26.9 h of dosing at or above the rate of release of the control (30%) within 14.6 h. Serotonin acetate monohydrate at 1 µM (20%) and 10 µM (20%), naloxone hydrochloride dihydrate at 0.01 µM (10%) and potassium phosphate monobasic at 0.25 µM (0%) induced spawning at rates less than the control. Although the greatest number of fragments spawned using hydrogen peroxide, it was with 100% mortality. There was a significantly higher induction rate closer to natural spawn (Trial 2) compared with Trial 1 and no genotype effect. Mechanisms of action causing gamete release were not elucidated. In Caribbean staghorn corals, 5-HTP shows promise as a spawning induction agent if administered within 72 h of natural spawn and it will not result in excessive mortality. Phosphate chemicals may inhibit spawning. This is the first study of its kind on Caribbean acroporid corals and may offer an important conservation tool for biologists currently charged with restoring the imperiled Acropora reefs of the Florida Keys.

Effects of Wind Turbine Noise on Self-Reported and Objective Measures of Sleep.

STUDY OBJECTIVES: To investigate the association between self-reported and objective measures of sleep and wind turbine noise (WTN) exposure. METHODS: The Community Noise and Health Study, a cross-sectional epidemiological study, included an in-house computer-assisted interview and sleep pattern monitoring over a 7 d period. Outdoor WTN levels were calculated following international standards for conditions that typically approximate the highest long-term average levels at each dwelling. Study data were collected between May and September 2013 from adults, aged 18-79 y (606 males, 632 females) randomly selected from each household and living between 0.25 and 11.22 kilometers from operational wind turbines in two Canadian provinces. Self-reported sleep quality over the past 30 d was assessed using the Pittsburgh Sleep Quality Index. Additional questions assessed the prevalence of diagnosed sleep disorders and the magnitude of sleep disturbance over the previous year. Objective measures for sleep latency, sleep efficiency, total sleep time, rate of awakening bouts, and wake duration after sleep onset were recorded using the wrist worn Actiwatch2® from a subsample of 654 participants (289 males, 365 females) for a total of 3,772 sleep nights. RESULTS: Participant response rate for the interview was 78.9%. Outdoor WTN levels reached 46 dB(A) with an arithmetic mean of 35.6 and a standard deviation of 7.4. Self-reported and objectively measured sleep outcomes consistently revealed no apparent pattern or statistically significant relationship to WTN levels. However, sleep was significantly influenced by other factors, including, but not limited to, the use of sleep medication, other health conditions (including sleep disorders), caffeine consumption, and annoyance with blinking lights on wind turbines. CONCLUSIONS: Study results do not support an association between exposure to outdoor WTN up to 46 dB(A) and an increase in the prevalence of disturbed sleep. Conclusions are based on WTN levels averaged over 1 y and, in some cases, may be strengthened with an analysis that examines sleep quality in relation to WTN levels calculated during the precise sleep period time.