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1.
Chronic Dis Can ; 27(1): 25-33, 2006.
Article in English | MEDLINE | ID: mdl-16672137

ABSTRACT

The objective of this study was to calculate the prevalence of multiple exposures to four modifiable risk factors (smoking, alcohol, physical inactivity and overweight) and to establish whether there are more Canadians with multiple risk factor exposures than those with singular ones. Weighted estimates of the prevalence of mutually exclusive risk factor clusters were calculated according to the Canadian Community Health Survey, Cycle 1.1 (2000). Confidence limits were estimated by bootstrap techniques. Findings indicate that 21.0 percent of Canadians have no risk factor exposures, 53.5 percent are physically inactive, 21.5 percent currently smoke, 44.8 percent are overweight, and 6.0 percent are high-risk drinkers. Compared to females, males are less physically inactive but more likely to smoke, have high alcohol intake and be overweight, across all age groups. At least one risk factor was present in 79.0 percent of Canadians and 39.0 percent have at least two coexistent exposures. The distribution of risk factor prevalences differed significantly by age, most peaking among those between age 35 and 64, with the exception of physical inactivity. Those who smoke and are physically inactive account for the highest proportion of the population with two or more coexistent risk factors. Canadians who are free of the four risk factors for chronic disease examined in this paper constitute the minority. Future studies are recommended to examine other risk factors, as well as interactions of multiple exposures in association with chronic disease.


Subject(s)
Alcoholism/epidemiology , Chronic Disease/epidemiology , Motor Activity/physiology , Overweight/physiology , Smoking/epidemiology , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Canada/epidemiology , Child , Cluster Analysis , Health Surveys , Humans , Middle Aged , Prevalence , Risk Factors , Sex Factors
2.
Pediatr Blood Cancer ; 44(4): 318-27, 2005 Apr.
Article in English | MEDLINE | ID: mdl-15390281

ABSTRACT

BACKGROUND: The objective of this study was to evaluate the impact of distance from residence to pediatric oncology centers on waiting times to diagnostic assessment and treatment in Canadian children with cancer. PROCEDURE: Two thousand three hundred sixteen children (< 15 years of age) captured by the Canadian Childhood Cancer Surveillance and Control Program's (CCCSCP) Treatment and Outcome Surveillance (TOS) system were included in the analysis. The number of days between onset of symptoms and first anti-cancer therapy was compared for those living less than 25, 25-99, and more than 100 kilometers from their treating center. For each time period, the adjusted odds of falling into the longest time quartiles were estimated using logistic regression analysis. RESULTS: Thirty-four percent (n = 786) of children lived more than 100 kilometers from their treating center. There were no significant differences in age at diagnosis (P = 0.33), sex (P = 0.68), or ICCC diagnosis (P = 0.02) by distance from center, though there was a significant difference in region of residence (P < 0.01) and the first health care professional contacted (P < 0.01). Except for waiting time from first health care contact to first assessment by treating oncologist which increased with increasing distance (P < 0.01), there were no significant differences in waiting times by distance. When adjusted for important demographic and clinical characteristics, distance to center did not affect the odds of waiting longer for any event. CONCLUSIONS: Distance to treating center had no significant impact on waiting times for important diagnostic and treatment events, when adjusted for age at diagnosis, diagnosis, region, and first health care professional seen.


Subject(s)
Health Services Accessibility , Neoplasms , Outcome and Process Assessment, Health Care , Referral and Consultation , Adolescent , Analysis of Variance , Canada , Child , Child, Preschool , Female , Geography , Humans , Infant , Infant, Newborn , Logistic Models , Male , Neoplasms/diagnosis , Neoplasms/therapy , Prospective Studies , Residence Characteristics , Time Factors , Waiting Lists
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