17 research outputs found

    The Relationship between Physical Inactivity and Family Life Course Stage

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    Physical inactivity is a well-documented risk factor for numerous chronic diseases and a major public health problem in Canada. Since social-ecological models suggest that behaviour is influenced by the person as well as the social and physical environment, it is important to be sensitive to other factors when examining physical activity participation. The purpose of this study was to explore the associations between physical inactivity, marital status and family stage for men and women in Canada. The study was based on data from the Canadian Community Health Survey, Cycle 2.1, for adults aged 18-64 living with a spouse or partner (with or without children) or single living with children. Respondents were classified as inactive or active according to self-reported leisure-time physical activity. Logistic regression was used to examine gender differences in the relationship between household composition and physical inactivity. Explanatory variables included parents’ age, sex, age of youngest child, income adequacy and interview mode. Family stage was significantly associated with adult physical inactivity levels. Individuals with very young children (\u3c 6 years old) were more likely to be inactive compared to childless adults or those with older children (\u3e12 years old). Having children between 6-12 years old was related to increased physical activity, possibly due to more family leisure pursuits involving physical activity. Living with a partner was associated with greater physical inactivity, particularly when controlling for income adequacy. Furthermore, those with high income adequacy were less likely to be inactive, and having a very young child increased this difference. In conclusion, family life course stage and income adequacy were most influential in determining levels of physical inactivity. Therefore, physically active leisure programs targeting adults with very young children, particularly those at lower income levels, may be helpful in increasing physical activity and decreasing health risks associated with inactivity. Margo Hilbrecht is a Postdoctoral Fellow at the University of Guelph’s Centre for Families, Work and Well-Being. She recently received her Ph.D. from the University of Waterloo in Recreation and Leisure Studies. Her research focuses on time use and work-life integration as it pertains to non-traditional work arrangements, gender and leisure. These interests extend to perceptions of time pressure and stress associated with the coordination of employment, school, and leisure activities in families with school-age children. Her current research explores the social and health consequences of unpredictable work schedules for parents employed in the retail sector

    Tailored versus generic knowledge brokering to integrate mood management into smoking cessation interventions in primary care settings : Protocol for a cluster randomized controlled trial

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    Background: Both tobacco smoking and depression are major public health problems associated with high morbidity and mortality. In addition, individuals with depression are almost twice as likely to smoke and less likely to achieve smoking cessation. In the Smoking Treatment for Ontario Patients program, an established smoking cessation program in Ontario, Canada, 38% of smokers in primary care settings have current or past depression with 6-month quit rates that are significantly lower than those without depression (33% versus 40%, P<.001). Integrating self-help mood management (eg, relaxation exercises and mood monitoring) with smoking cessation treatment increases long-term quit rates by 12%-20%. However, integration in real-world settings has not been reported. It is unclear which knowledge translation strategy would be more effective for motivating clinicians to provide resources on mood management to eligible patients. Objective: The objectives of this study are to investigate the following comparisons among depressed smokers enrolled in a smoking cessation program: 1) the effectiveness of generalized, exclusively email-based prompts versus a personalized knowledge broker in implementing mood management interventions; 2) the effectiveness of the two knowledge translation strategies on smoking quit rates; and 3) the incremental costs of the two knowledge translation strategies on the implementation of mood management interventions. Methods: The study design is a cluster randomized controlled trial of Family Health Teams participating in the Smoking Treatment for Ontario Patients program. Family Health Teams will be randomly allocated 1:1 to receive either generalized messages (related to depression and smoking) exclusively via email (group A) or be assigned a knowledge broker who provides personalized support through phone- and email-based check-ins (group B). The primary outcome, measured at the site level, is the proportion of eligible baseline visits that result in the provision of the mood management intervention to eligible patients. Results: Recruitment for the primary outcome of this study will be completed in 2018/2019. Results will be reported in 2019/2020. Conclusions: This study will address the knowledge gap in the implementation strategies (ie, email-based prompts versus a knowledge broker) of mood management interventions for smokers with depression in primary care settings. Trial Registration: ClinicalTrials.gov NCT03130998; https://clinicaltrials.gov/ct2/show/NCT03130998 (Archived on WebCite at www.webcitation.org/6ylyS6RTe)

    Adolescent use of social media and associations with sleep patterns across 18 European and North American countries

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    Objective: Over the past decade, concurrent with increasing social media use (SMU), there has been a shift toward poorer sleep among adolescents in many countries. The purpose of this study was to examine the cross-national associations between adolescent SMU and sleep patterns, by comparing 4 different categories of SMU (nonactive, active, intense, and problematic use). Design, setting, and participants: Data were from 86,542 adolescents in 18 European and North American countries that participated in the 2017/18 Health Behaviour in School-aged study. Measurements: Mixed-effects linear regression models were used to examine cross-national associations between 4 SMU categories and adolescent sleep duration, bedtime and social jetlag derived from self-reported data. Results: For all countries combined, nonactive SMU was associated with longer sleep, earlier bedtimes, and less social jetlag, compared to active SMU, although the differences were minor. By comparison, intense and problematic SMU were associated with less sleep and later bedtimes on both school and nonschool days, and greater social jetlag, compared to active SMU. While findings were relatively consistent between countries, some differences were observed, suggesting that the national and cultural context may be important in interpreting results. Conclusions: These findings suggest that both intense and problematic SMU are associated with poorer sleep patterns in adolescents across most countries. Further research is needed to identify effective policies, programs, and messaging to promote the healthy use of social media and prevent potential negative impacts on adolescent sleep

    Predictors of indoor BTEX concentrations in Canadian residences

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    Background Benzene, toluene, ethylbenzene and m-, p-xylenesand o-xylene (BTEX) are a group of volatile organic compounds that originate from similar sources. Given the potentially negative health implications of BTEX exposure and their prevalence in residential indoor air, it is important to understand typical residential concentrations and identify predictors. Data and methods The 2009 to 2011 Canadian Health Measures Survey included an indoor air component. Questionnaires were administered, and respondents were asked to deploy an air sampler in their home for 7 consecutive days. This analysis is based on BTEX data from 5,191 respondents. Mean BTEX concentrations were examined overall, and by dwelling type and garage configuration. Stepwise regression models were used to examine potential sources of BTEX components. Results Means were 1.95 ”g/m3 (benzene), 19.17 ”g/m3 (toluene), 4.09 ”g/m3 (ethylbenzene), 14.42 ”g/m3 (m-, p-xylenes), and 4.16 ”g/m3 (o-xylene). Significant predictors of the presence of BTEX included a garage on the property, regular smoking in the home, renovations in the past month, number of occupants, use of paint remover, and use of fragrance. Interpretation Results of this nationally representative study found that BTEX concentrations are relatively low among Canadian residences, and identified several different indoor sources

    Nationally Representative Levels of Selected Volatile Organic Compounds in Canadian Residential Indoor Air: Population-Based Survey

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    A comprehensive, population-based national indoor air survey was conducted in 2009–2011 in Canada. A total of 84 volatile organic carbons (VOCs) from 3218 houses, 546 apartments, and 93 other dwelling types were measured using passive sampling followed by thermal desorption GC/MS. A total of 12 VOCs were measured in both this study and the 1992 Canadian national study. Arithmetic means of VOCs in this study were 2–5 times lower than those in the 1992 study with the exception of a higher styrene level (1.13 ÎŒg·m<sup>–3</sup>). Comparing the geometric means of the 24 VOCs showed that levels for the VOCs in this study were comparable to those reported in Europe. They were generally within a factor of 2; 1,4-dichlorobenzene (0.21 ÎŒg·m<sup>–3</sup>) and 1,2,4-trimethylbenzene (0.51 ÎŒg·m<sup>–3</sup>) were noticeably lower in this study than in the European studies. There were 47 VOCs detected in more than 50% of Canadian households; 33 of them were higher in houses than in apartments for all nonsmoking homes, while only 4 were lower in houses than in apartments. A total of 11 of 47 VOCs were higher in smoking homes compared to nonsmoking homes, while the rest had similar levels. Principal component analysis identified several groups of VOCs with possible common sources

    Gender identity and sexual attraction among Canadian youth: findings from the 2019 Canadian Health Survey on Children and Youth

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    Gender identity and sexual attraction are important determinants of health. This study reports distributions of gender identity and sexual attraction among Canadian youth using data from the 2019 Canadian Health Survey on Children and Youth. Among youth aged 12 to 17, 0.2% are nonbinary and 0.2% are transgender. Among youth aged 15 to 17, 21.0%, comprising more females than males, report attraction not exclusive to the opposite gender. Given known associations between health and gender and sexual attraction, oversampling of sexual minority groups is recommended in future studies to obtain reliable estimates for identifying inequities and informing policy

    IdentitĂ© de genre et attirance sexuelle chez les jeunes Canadiens : rĂ©sultats de l’EnquĂȘte canadienne sur la santĂ© des enfants et des jeunes de 2019

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    L’identitĂ© de genre et l’attirance sexuelle sont des dĂ©terminants importants de la santĂ©. Cette Ă©tude fait Ă©tat de la rĂ©partition des identitĂ©s de genre et de l’attirance sexuelle chez les jeunes Canadiens Ă  l’aide des donnĂ©es de l’EnquĂȘte canadienne sur la santĂ© des enfants et des jeunes de 2019. Parmi les jeunes de 12 Ă  17 ans, 0,2 % se sont identifiĂ©s comme non binaires et 0,2 % comme transgenres. Chez les jeunes de 15 Ă  17 ans, 21,0 % des rĂ©pondants, dont un nombre plus Ă©levĂ© de personnes s’identifiant comme Ă©tant de genre fĂ©minin que de personnes de genre masculin, ont dĂ©clarĂ© avoir une attirance non exclusive envers des personnes du genre opposĂ©. Compte tenu des associations connues entre, d’une part, la santĂ© et, d’autre part, le genre et l’attirance physique, il est recommandĂ© de procĂ©der Ă  un surĂ©chantillonnage des groupes sexuels minoritaires dans les Ă©tudes Ă  venir pour obtenir des estimations fiables permettant de cerner les iniquitĂ©s et pour orienter les politiques
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