The Exosystem Impact: An Analysis of Male- and Female Physical Intimate Partner Violence Victimization in Heterosexual Relationships.

An increasing body of sociological research explores the complexity of intimate partner violence (IPV) in heterosexual relationships. However, early research in this area concentrated exclusively on male perpetration, thereby necessitating a better understanding of the contexts behind female-perpetrated and bidirectional IPV. Using the two most recent cycles of the Canadian General Social Survey (2014 and 2019), our study employs a multinomial logistic regression model to examine the prevalence and severity of female and male physical IPV victimization among a large sample of married and common-law heterosexual couples. Framing our analysis through one concentric level of Dutton's (1990) nested ecological model, the exosystem, we aim to understand whether these indicators serve as protective markers against severe and nonsevere physical IPV. We investigate the impact of eight exosystem indicators (financial stress, number of children, length of relationship, religiosity, employment, social support, education, and income). Our findings suggest that social support, employment, and household income serve as protective markers against male and female physical IPV victimization. Other protective factors include the length of the relationship and the partner's religiosity for female-perpetrated violence. At the same time, the presence of children in the household reduces the likelihood of male-perpetrated IPV despite being a risk marker for female perpetration. Risk factors for both men and women include education and their partner's employment. Future research should undertake a more in-depth exploration of the impact of exosystem and macrosystem factors on instances of IPV to generate a better understanding of predictive and preventative measures.

"Leaving Home Ain't Easy:" The timing and pathways of young immigrants' home-leaving transitions.

Leaving the parental home to live independently has long been a marker of one's transition to adulthood and a sign of immigrant adaptation to the host country. The timing and pathways of home-leaving are important for both the housing trajectories of young adults and the overall housing demand of immigrant receiving areas. However, young adults-immigrants or not- have increasingly been delaying this transition, opting instead to stay in the parental home for an extended period of time. In this paper, we conceptualize home-leaving as a decision made over time-influenced by individual, family, and contextual factors-and use panel data collected in the 2011 and 2017 Canadian General Social Survey (GSS). Through both a Cox proportional hazard model and a competing risk model, we examine the timing of exit from the parental home, the determinants of this exit, and the variable rates of independent household formation across immigrant, non-visible, and visible minority groups. We find, although the relationship is not always linear, generational status, as well as race and ethnicity, play an important role in not only the timing, but also the destination of home leaving, while age at arrival is particularly salient for racialized immigrant groups. Young immigrants of visible minority background are generally less likely to leave their parental home, even though immigrants to Canada are selected for their ability to succeed in Canada.

Quitter le domicile parental pour vivre en autonomie a longtemps été un marqueur de passage à l'âge adulte et un signe d'adaptation des immigrants au pays d'accueil. Le moment et les parcours du départ à la maison ce sont tous importants pour les trajectoires de logement des jeunes adultes et aussi pour la demande globale de logements des zones d'accueil des immigrants. Toutefois, les jeunes adultes, immigrés ou non, retardent de plus en plus cette transition, optant plutôt pour un séjour prolongé chez leurs parents. Dans cet article, nous conceptualisons le départ du domicile comme une décision prise au fil du temps, influencée par des facteurs individuels, familiaux et contextuels et utilisons des données de panel recueillies dans le cadre de l'Enquête sociale générale (ESG) canadienne de 2011 et 2017. Utiliser le modèle de Cox à risques instantanés proportionnels et d'un modèle à risques concurrents, nous examinons le moment de la sortie du domicile parental, les déterminants de ces sorties et les taux variables de formation de ménages indépendants parmi les groupes d'immigrants, non visibles et de minorités visibles. Nous trouvons que, bien que la relation ne soit pas toujours linéaire, le statut des générations, ainsi que la race et l'origine ethnique, jouent un rôle important non seulement sur le moment, mais aussi dans la destination du départ, tandis que l'âge à l'arrivée est particulièrement saillant pour les groupes d'immigrants racialisés. Les jeunes immigrants issus de minorités visibles sont généralement moins susceptibles de quitter le domicile de leurs parents, alors même que les immigrants au Canada sont sélectionnés en fonction de leur capacité à réussir au Canada.

Employment success of social assistance recipients: A provincial analysis by industry.

Poverty continues to burden millions of Canadians each year, and social assistance (SA) is one program that provides last-resort financial assistance, conditional upon looking for and accepting work. Using tax panel data of SA recipients from across seven Canadian regions between 2000 and 2018, we model the probabilities of employment success (ES) across industry of employment, SA benefit amounts, unionization, and individual-level characteristics. We adopt an economic stance to explain reliance upon SA, examining the broader macroeconomic indicators of ES, and to demonstrate the factors associated with exiting SA. We find that many SA recipients do not present evidence of recent employment, indicating a disconnect between stated SA program aims and their outcomes. We provide evidence for increased SA benefits and unionization as significant predictors of ES of SA recipients.

La pauvreté continue de peser sur des millions de Canadiens chaque année, et l'aide sociale (AS) est un programme qui fournit une aide financière de dernier recours, à condition de chercher et d'accepter un emploi. À l'aide de données fiscales de panel sur les bénéficiaires de l'aide sociale de sept régions canadiennes entre 2000 et 2018, nous modélisons les probabilités de réussite professionnelle en fonction du secteur d'emploi, du montant des prestations d'aide sociale, de la syndicalisation et des caractéristiques individuelles. Nous adoptons une position économique pour expliquer le recours à l'AS, en examinant les indicateurs macroéconomiques plus larges de la réussite professionnelle, et pour démontrer les facteurs associés à la sortie de l'AS. Nous constatons que de nombreux bénéficiaires de l'AS ne présentent pas de preuve d'emploi récent, ce qui indique un décalage entre les objectifs déclarés du programme d'AS et leurs résultats. Nous fournissons des preuves que l'augmentation des prestations d'AS et la syndicalisation sont des prédicteurs importants de la réussite de l'emploi des bénéficiaires de l'AS.

The Mobility of Construction Workers in Canada: Insights from Administrative Data.

There is limited research that examines the employment-related geographical mobility (E-RGM) of journeypersons in the construction industry. Such an investigation is important because migration can help reduce labour shortages and surpluses and allow journeypersons to obtain gainful employment. In this paper we investigate the E-RGM of construction industry journeypersons. Drawing on data from the Education and Labour Market Longitudinal Platform (ELMLP) from 2008 to 2016, we find that while Ontario and Alberta gain the most migrants, the Atlantic region has more than 30% of its workforce that engages in E-RGM. Of the most mobile trades are steamfitters and pipefitters, ironworkers, and construction trade helpers and labourers. Moreover, those who are married, immigrants, and women are less likely to engage in E-RGM than are single journeypersons, non-immigrants, and men. Red Seal trades or endorsements were associated with greater mobility; however, whether journeypersons were registered in their province of residence was the greatest predictor of mobility. This finding suggests that while Red Seal programs have succeeded in creating standardised expectations across provinces and territories, place of residence has important implications for E-RGM of construction industry journeypersons. These findings point to the need for more research that examines the root causes of migration.

Administrative data linkage in Canada: Implications for sociological research.

This paper explores some of the implications that administrative data, defined as data initially collected for purposes other than research, will have for Sociology. Although administrative data are "found" rather than "made" and, in turn, pose several challenges, we argue that the potential of these data warrant the investment, and may lead to a new methodological imagination that can shed a light on time-tested concepts and advance our understanding of society. We show that it is already possible to advance several sociological debates through the use of administrative data and demonstrate the potential of these data through some examples drawn from classical sociological theory. We conclude by arguing that administrative data's potential will likely ensure that it becomes an important component of sociological research agendas in the coming years.

Cet article explore certaines des implications que les données administratives-définies comme des données initialement collectées à des fins autres que la recherche-auront pour la sociologie. Quoique les données administratives soient « trouvées ¼ plutôt que « faites ¼ et, à leur tour, posent plusieurs défis, nous soutenons que le potentiel de ces données justifie l'investissement et peut conduire à une nouvelle imagination méthodologique, une qui peut mettre en lumière des concepts durables sociologiques et avancer notre compréhension de la société. Nous montrons qu'il est déjà possible de faire avancer plusieurs débats sociologiques avec lutilisation de données administratives, et nous démontrons le potentiel de ces données à travers quelques exemples tirés de la théorie sociologique classique. Nous concluons en affirmant que le potentiel des données administratives garantira probablement qu'elles deviendront une composante importante des recherches sociologiques à venir.

The Life Satisfaction of Immigrants in Canada: Does Time Since Arrival Matter more than Income?

The subjective life satisfaction of individuals reveals valuable information about the overall well-being of a society. Furthermore, large international migration flows have led to the importance of studying the life satisfaction of immigrants within host countries, including Canada. This study uses secondary data from the 2013 Canadian General Social Survey, Cycle 27, to assess the life satisfaction of immigrants in Canada compared to Canadian-born individuals, and to determine the overall impact of immigrants' year of arrival. Using bivariate and multivariate statistical models, the results reveal that the life satisfaction of immigrants does not significantly differ from the Canadian-born population, and that year of arrival has no significant effect. Income, however, seems to be a more important determinant of immigrants' life satisfaction in Canada.

Assessing geographic and industry-related trends in bladder cancer in Ontario: A population-based study.

INTRODUCTION: Bladder cancer (BC) is the fifth most prevalent cancer in Canada, with 9000 Canadians diagnosed each year. While smoking is the most important risk factor, environmental and occupational carcinogens have been found to significantly contribute to BC rates. As Canada is highly reliant on natural resource industries, this study seeks to identify geographical and industry-related trends of BC rates in Ontario. METHODS: The 1991 and 2001 Canadian Census Health and Environment Cohort (CanCHEC; Statistics Canada) was used, along with individual years of census data. Maps identifying hot and cold spots for BC within Ontario were generated, and the former were assessed for industry patterns between location and BC rates. Cox proportional hazards models were run for each age cohort to predict the likelihood of developing BC by industry of work. RESULTS: Significant geographical and industrial trends in BC rates were identified. For 1991-2001, hot spots included the Cochrane, Manitoulin, Parry Sound, and Sudbury (90% confidence interval [CI]), and Nipissing and Temiskaming (95% CI) regions. Toronto and York were cold spots. Concurrently, metal (p=0.039), paper and publishing (p=0.0062), and wood and furniture (p<0.0001) industries had increased rates of BC. Notably, these industries had high employment density in our hot spot areas and low density in our cold spots. CONCLUSIONS: Significant geographical and industrial BC trends were found in Northern Ontario regions reliant on heavy employment in natural resource-based industries, such as forestry, agriculture, and wood/paper. These findings may inform future screening guidelines and aid in identifying individuals at risk of BC development.

Studying the social determinants of COVID-19 in a data vacuum.

Race-based and other demographic information on COVID-19 patients is not being collected consistently across provinces in Canada. Therefore, whether the burden of COVID-19 is falling disproportionately on the shoulders of particular demographic groups is relatively unknown. In this article, we first provide an overview of the available geographic and demographic data related to COVID-19. We then make creative use of these existing data to fill the vacuum and identify key demographic risk factors for COVID-19 across Canada's health regions. Drawing on COVID-19 counts and tabular census data, we examine the association between communities' demographic composition and the number of COVID-19 infections. COVID-19 infections are higher in communities with larger shares of Black and low-income residents. Our approach offers a way for researchers and policymakers to use existing data to identify communities nationwide that are vulnerable to the pandemic in the absence of more detailed demographic and more granular geographic data.

Les renseignements fondés sur la race et d'autres données démographiques sur les patients atteints du COVID-19 ne sont pas recueillis de manière uniforme dans toutes les provinces du Canada. Par conséquent, si le fardeau du COVID-19 tombe de manière disproportionnée sur les épaules de groupes démographiques particuliers est relativement inconnu. Dans cet article, nous fournissons d'abord un aperçu des données géographiques et démographiques disponibles liées au COVID-19. Nous utilisons ensuite de manière créative ces données existantes pour combler le vide et identifier les principaux facteurs de risque démographiques du COVID-19 dans les régions sociosanitaires du Canada. En nous basant sur les dénombrements de COVID-19 et les données tabulaires du recensement, nous examinons l'association entre la composition démographique des communautés et le nombre d'infections au COVID-19. Les infections au COVID-19 sont plus élevées dans les communautés avec une plus grande proportion de résidents Noirs et à faible revenu. Notre approche offre aux chercheurs et aux décideurs un moyen d'utiliser les données existantes pour identifier les communautés à l'échelle nationale qui sont vulnérables à la pandémie en l'absence de données démographiques plus détaillées et géographiques plus granulaires.

Mental health and economic concerns from March to May during the COVID-19 pandemic in Canada: Insights from an analysis of repeated cross-sectional surveys.

BACKGROUND: The COVID-19 pandemic impacted the psychological wellbeing of populations worldwide. In this study, we assess changes in mental health during the early months of the pandemic in Canada and examine its relationship with another prominent problem during this time, economic concerns. METHODS: Analyses were based on two cycles of the nationally representative repeated cross-sectional Canadian Perspectives Survey Series (N=4627 in March and 4600 in May). We described the changes in mental health and economic concerns between March and May, and assessed the relationship between the two characteristics. RESULTS: Mental health declined significantly during the early months of the COVID-19 pandemic: the proportion of Canadian adults who reported only good/fair/poor mental health grew from 46% to 52% from March to May. Economic concerns including food insecurity were an important correlate of 'bad' mental health, as was younger age, female gender, and Canada-born status. Contrary to expectations, however, economic concerns lessened during this time frame. CONCLUSIONS: These findings suggest that policies to mitigate economic stress, such as Canada's Emergency Response Benefit, may have eased mental health deterioration in early pandemic months through a reduction in financial hardship. Interventions to increase the economic security of the population will have far-reaching consequences in terms of improved mental health, and should be continued throughout the pandemic.

Determining generalizability of the Canadian Kidney Cancer information system (CKCis) to the entire Canadian kidney cancer population.

INTRODUCTION: The Canadian Kidney Cancer information system (CKCis) has prospectively collected data on patients with renal tumors since January 1, 2011 from 16 sites within 14 academic centers in six provinces. Canadian kidney cancer experts have used CKCis data to address several research questions. The goal of this study was to determine if the CKCis cohort is representative of the entire Canadian kidney cancer population, specifically regarding demographic and geographic distributions. METHODS: The CKCis prospective cohort was analyzed up to December 31, 2018. Baseline demographics and tumor characteristics were analyzed, including location of patients' residence at the time of CKCis entry. Geographic data is presented by province, rural vs. urban via postal code information (2nd digit=0) and by Canadian urban boundary files. To determine the proportion of renal cell carcinoma (RCC) patients that CKCis captures, CKCis accruals were compared to projected Canadian Cancer Society RCC incidence in 2016-2017 and the incidence from the 2016 Canadian Cancer Registry. To determine if the CKCis baseline data is representative, it was compared to registry data and other published data when registry data was not available. RESULTS: This CKCis cohort includes 10 298 eligible patients: 66.6% male, median age 62.6 years; 14.6% had metastatic disease at the time of diagnosis and 70.4% had clear-cell carcinomas. The CKCis cohort captures about 1250 patients per year, which represents approximately 20% of the total kidney cancer incidence. The proportion of patients captured per province did vary from 13-43%. Rural patients make up 17% of patients, with some baseline differences between rural and urban patients. There appears to be no major differences between CKCis patient demographics and disease characteristics compared to national data sources. Canadian heat maps detailing patient location are presented. CONCLUSIONS: CKCis contains prospective data on >10 000 Canadian kidney cancer patients, making it a valuable resource for kidney cancer research. The baseline demographic and geographic data do appear to include a broad cross-section of patients and seem to be highly representative of the Canadian kidney cancer population. Moving forward, future projects will include determining if CKCis cancer outcomes are also representative of the entire Canadian kidney cancer population and studying variations across provinces and within rural vs. urban areas.

Geographic variation in preventable hospitalisations across Canada: a cross-sectional study.

OBJECTIVE: The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec). DESIGN AND SETTING: A cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006-2007, 2007-2008 and 2008-2009. PRIMARY OUTCOME MEASURE: Preventable hospitalisations (ACSC). PARTICIPANTS: The 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006-2009 fiscal years. METHODS: Age-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran's I statistic was computed. 'Hot spot' analysis was used to identify the pattern of geographic variation. RESULTS: Of all the hospitalisation events reported in Canada during the 2006-2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran's I statistic (Moran's I=0.355) suggests non-randomness in the spatial distribution of preventable hospitalisations. The findings from the 'hot spot' analysis indicate a cluster of Census Divisions located in predominantly rural and remote parts of Ontario, Manitoba and Saskatchewan and in eastern and northern parts of Nunavut with significantly higher than average rates of preventable hospitalisation. CONCLUSION: The knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.

Will They Stay or Will They Go? Examining the Brain Drain in Canada's Provincial North.

Brain drain is an increasingly important concern for local governments in northern communities in Canada in maintaining and enhancing human capital levels to sustain vibrant economies and communities. Researchers, however, have yet to examine the magnitude of north-south out-migration nor do we know the characteristics of youth who are likely to relocate. Our study contributes to this knowledge gap by employing multiple waves from Statistics Canada's Youth in Transition Survey (Cohort A) linked to each youth's reading scores from the Programme for International Student Assessment (measured at age 15), and longitudinally to their tax filer information until age 30 (T1 Family Files).

La fuite des cerveaux est une préoccupation de plus en plus importante pour les gouvernements locaux des collectivités du Nord du Canada dans le maintien et l'amélioration des niveaux de capital humain afin de soutenir des économies et des collectivités dynamiques. Toutefois, les chercheurs n'ont pas encore examiné l'ampleur de l'émigration nord-sud et nous ne connaissons pas non plus les caractéristiques des jeunes susceptibles de déménager. Notre étude contribue à ce manque de connaissances en utilisant de multiples ondes de l'Enquête sur les jeunes en transition (cohorte A) de Statistique Canada liées aux résultats de lecture de chaque jeune du Programme international de lecture du suivi des élèves (mesurés à l'âge de 15 ans), et longitudinalement à leurs informations de déclarant jusqu'à l'âge 30 (T1 Family Files).

Long-term Testis Cancer Survivors in Canada-Mortality Risks in a Large Population-based Cohort.

BACKGROUND: Testis cancer (TC) patients are young with excellent cancer prognosis. Hence, the risk of late-onset treatment-related morbidity and mortality is of concern due to longer survival after treatment. OBJECTIVE: We set to characterize long-term survival of TC patients through a Canadian population dataset. DESIGN SETTING AND PARTICIPANTS: We used a population-based dataset, the Canadian Census Health and Environment Cohort (CanCHEC), to identify individuals diagnosed with TC between 1991 and 2010. We compared them with all other male individuals without TC. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was mortality due to cardiovascular disease (CVD) or nontesticular malignancy. Mann-Whitney or chi-square test was used where applicable. Data were analyzed using a Cox proportional hazard model with and without matching. RESULTS AND LIMITATIONS: We identified 1950 individuals with TC. We compared them with 1 300 295 men with no TC. There were 335 deaths in the study group during the study period (17.2%) with a mean follow-up of 19.6 yr. TC patients were at increased risk of death from secondary malignancies (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.39-1.91; p < 0.0001) with specific risks for hematologic neoplasms (HR 3.86, 95% CI 2.78-5.37; p < 0.001) and other malignancies (HR 2.41, 95% CI 1.76-3.29; p < 0.001). Gastrointestinal, hematologic, and respiratory toxicities were the most common secondary malignancies leading to death. When stratified according to histology, nonseminoma (NS) patients were at significantly increased risk of death from CVD (HR 2.03, 95% CI 1.27-3.25; p = 0.0032). Individuals with seminoma were at increased risk of death from other nontestis neoplasms (HR 1.46, 95% CI 1.17-1.82; p = 0.0007), specifically hematologic neoplasms (HR 2.09, 95% CI 1.18-3.72; p = 0.0118). CONCLUSIONS: NS patients are at increased risk of CVD-related death, whereas seminoma patients are at increased risk of death from non-testis-related malignancies. PATIENT SUMMARY: We report long-term mortality following diagnosis of testis cancer. Nonseminoma patients have an increased risk of death from cardiovascular disease, while seminoma patients have an increased risk of death from secondary malignancies.

Work injuries in internal migrants to Alberta, Canada. Do workers' compensation records provide an unbiased estimate of risk?

INTRODUCTION: It is not known whether out-of-province Canadians, who travel to Alberta for work, are at increased risk of occupational injury. METHODS: Workers' compensation board (WCB) claims in 2013 to 2015 for those injured in Alberta were extracted by home province. Denominator data, from Statistics Canada, indicated the numbers from Alberta and Newfoundland and Labrador (NL) employed in Alberta in 2012. Both datasets were stratified by industry, age, and gender. Logistic regression estimated the risk of a worker from NL making a WCB claim in 2013 or 2014, stratified by time lost from work. Bias from under-reporting was examined in responses to injury questions in a cohort of trades' workers across Canada and in a pilot study in Fort McMurray, Alberta. RESULTS: Injury reporting rate in workers from NL was lower than those from Alberta, with a marked deficit (odds ratio [OR] = 0.17; 95% confidence interval [CI], 0.12-0.27) for injuries resulting in 1 to 30 days off work. Among the 1520 from Alberta in the trades' cohort, 327 participants reported 444 work injuries: 34.5% were reported to the WCB, rising to 69.4% in those treated by a physician. A total of 52 injuries in Alberta were recorded by 151 workers in the Fort McMurray cohort. In logistic regression, very similar factors predicted WCB reporting in the trades and Fort McMurray cohorts, but those from out-of-province or recently settled in Alberta were much less likely to report (OR = 0.02; 95% CI, 0.00-0.40). CONCLUSION: Differential rates of under-reporting explain in part the overall low estimates of injuries in interprovincial workers but not the deficit in time-loss 1 to 30 days.

Individualized CT Angiography Protocols for the Evaluation of the Aorta: A Feasibility Study.

PURPOSE: Ionizing radiation and iodinated contrast media are potential drawbacks to repetitive follow-up CT angiography in current practice. The aim of the present study was to optimize radiation dose and contrast agent volume by using individualized CT angiography protocols. MATERIALS AND METHODS: Eighty consecutive patients referred for CT angiography of the whole aorta were prospectively evaluated. Patients were divided into groups of patients with a body mass index (BMI) < 28 kg/m(2) (group 1; n = 50) and those with a BMI ≥ 28 kg/m(2) (group 2; n = 30). A control group consisted of 50 consecutive patients who were retrospectively evaluated. CT angiography parameters on a second-generation dual-source scanner were 128 × 0.6-mm collimation, pitch of 0.9, rotation time of 0.33 seconds, tube voltages of 80/100/120 kVp (group 1/group 2/control), reference tube current of 400 mA, and image reconstruction at 1-mm/0.8-mm slice thickness (kernels, B30f [control] and I30f/strength 3 [groups 1/2]). The control group received 120 mL of contrast agent (300 mgI/mL) at 4.8 mL/s; groups 1 and 2 received 44 mL and 53 mL at 3.3 mL/s and 4 mL/s, respectively. Effective dose was evaluated for each patient. Image quality was determined by qualitative image analysis at the levels of the thoracic, abdominal, and pelvic aorta as nondiagnostic, diagnostic, good, or excellent, and quantitative image analysis was performed, including attenuation values and contrast-to-noise ratio (CNR). RESULTS: Mean effective radiation dose values for CT angiography of the aorta were 3.7 mSv ± 0.7 in group 1, 6.7 mSv ± 1.4 in group 2, and 8.7 mSv ± 1.9 in the control group (P < .001). Mean attenuation values and CNR levels were 334 HU ± 66 and 16 ± 8, respectively, in group 1, 277 HU ± 56 and 14 ± 5 in group 2, and 305 HU ± 77 and 11 ± 4 in the control group. CONCLUSIONS: Iterative reconstruction algorithms resulted in 23%-57% less radiation in combination with 55%-63% less contrast agent volume compared with standard CT protocols.

The dwelling-type choices of older Canadians and future housing demand: an investigation using the Aging and Social Support Survey (GSS16).

Using the 2002 Aging and Social Support Survey (GSS16), multinomial logit regression, and cohort-component projection techniques, this study explored how social support networks, health, and economic characteristics have shaped the residential choices of older Canadians, and predicts how they are likely to do so in the future. It focused on the distribution of 55-to-75-year-olds across three private-dwelling types: general community living, age-restricted housing, and age-restricted housing with nursing care. The analysis shows that social support characteristics are the strongest predictors of dwelling type, meaning that individuals appear to choose their dwellings largely on the basis of their social needs and wants, rather than on their economic or health characteristics. The analysis also indicates an increased age-specific demand for all dwelling types in the future, but with a reduction of over 2 million older Canadians living in dwellings in the general community between 2002 and 2022.