Health Reports最新文献

Background: The objective of this study was to create the Canadian Food Environment Dataset (Can-FED) and to demonstrate its validity.

Data and methods: Food outlet data were extracted from Statistics Canada's Business Register (BR) in 2018. Retail food environment access measures (both absolute and relative measures) were calculated using network buffers around the centroid of 56,589 dissemination areas in Canada. A k-medians clustering approach was used to create categorical food environment variables that were easy to use and amenable to dissemination. Validity of the measures was assessed by comparing the food environment measures from Can-FED with measures created using Enhanced Points of Interest data by DMTI Spatial Inc. and data from a municipal health inspection list. Validity was also assessed by calculating the geographic variability in food environments across census metropolitan areas (CMAs) and assessing associations between CMA-level food environments and CMA-level health indicators.

Results: Two versions of Can-FED were created: a researcher file that must be accessed within a secure Statistics Canada environment and a general-use file available online. Agreement between Can-FED food environment measures and those derived from a proprietary dataset and a municipal health inspection list ranged from r_s=0.28 for convenience store density and r_s=0.53 for restaurant density. At the CMA level, there is wide geographic variation in the food environment with evidence of patterning by health indicators.

Interpretation: Can-FED is a valid and accessible dataset of pan-Canadian food environment measures that was created from the BR, a data source that has not been explored fully for health research.

Background: Food insecurity linked to insufficient income is an important determinant of health. Whether the COVID-19 pandemic has exacerbated levels of food insecurity in Canada, particularly among vulnerable groups, is unclear. This study estimated the proportion of Canadians reporting experience of household food insecurity six to nine months into the COVID-19 pandemic, and drew comparisons with pre-pandemic levels.

Data and methods: Data on household food security status during the pandemic came from the population-based cross-sectional Canadian Community Health Survey (CCHS) collected from September to December 2020. Analyses were based on 26,831 respondents aged 12 and older residing in the 10 provinces. The Household Food Security Survey Module was used to categorize respondents' household food security status within the previous 12 months as food secure or marginally, moderately or severely insecure. The percentage of Canadians reporting some experience of household food insecurity was estimated for the overall population and for various sociodemographic groups. T-tests were used to draw comparisons with pre-pandemic rates from the 2017/2018 CCHS.

Results: In fall 2020, 9.6% of Canadians reported having experienced some level of food insecurity in their household in the prior 12 months, which is lower than the estimate of 12.6% from 2017/2018. Overall estimates were also lower in fall 2020 when examined within levels of household food insecurity (i.e., marginal, moderate or severe). The percentage of Canadians reporting experience of household food insecurity was either unchanged or lower than in 2017/2018 among sociodemographic groups vulnerable to experiencing income-related food insecurity, including renters and those with lower levels of education.

Interpretation: During the second wave of the COVID-19 pandemic in fall 2020, about 1 in 10 Canadians aged 12 and older reported experience of food insecurity in their household in the previous 12 months. This proportion was lower compared with 2017/2018, both overall and among several groups at higher risk of food insecurity. Monitoring household food insecurity will continue to be important during the COVID-19 pandemic and throughout the years of recovery ahead.

Background: The Canadian 24-Hour Movement Guidelines for Adults (18-64 years and 65 years or older) were launched in October 2020 and provide evidence-based recommendations for physical activity, sedentary behaviour and sleep. The purpose of this study was to examine whether meeting the 24-Hour Movement Guidelines overall, and different combinations of recommendations within the guidelines, was associated with health indicators in a representative sample of Canadian adults.

Data and methods: Participants were 8,297 adults aged 18 to 79 from cycles 1 to 3 of the Canadian Health Measures Survey. They were classified as meeting or not meeting each of the recommendations required for overall guideline adherence: moderate-to-vigorous physical activity (150 minutes or more per week), sedentary behaviour (8 hours or less per day or 9 hours or less per day of sedentary time, including 3 hours or less per day of recreational screen time) and sleep duration (7 to 9 hours per day for adults 18 to 64 years old, 7 to 8 hours per day for adults aged 65 years or older). A combination of self-reported and device-based measures were used. Indicators of adiposity (n=2), aerobic fitness (n=1) and cardiometabolic health (n=7) were measured.

Results: A total of 19.1% of the sample met none of the recommendations, 43.9% met one of them, 29.8% met two and 7.1% met all three. Compared with meeting no recommendations, meeting one, two and all three recommendations was associated with better health for one, six and seven health indicators, respectively (p < 0.05). Compared with adults meeting two or fewer recommendations, those who met all three recommendations had more favourable body mass index; waist circumference; aerobic fitness scores; and triglyceride, insulin, C-reactive protein and serum glucose levels (p < 0.05).

Interpretation: These findings provide support for the 24-Hour Movement Guidelines and show that less than 1 in 10 Canadian adults are meeting all three of the healthy movement behaviour guidelines.

Background: The National Standard of Canada for Psychological Health and Safety in the Workplace (the Standard) identifies 13 psychosocial factors affecting psychological health and safety in the workplace that employers should measure and monitor with the goal of addressing areas for improvement. The present study sought to determine the suitability of the Public Service Employee Survey as a tool for the assessment of these psychosocial factors in public service employees. It also aimed to explore-in a preliminary manner-predictors of job satisfaction in these employees.

Data and methods: Data from the 2017 and 2019 Public Service Employee Survey (PSES) were analyzed. Specifically, exploratory structural modelling and tests of measurement invariance were used to identify a measurement model reflecting the psychosocial factors outlined in the Standard and to evaluate the equivalence of this model across both PSES administrations.

Results: The analyses uncovered 10 of the 13 psychosocial factors, as well as 2 closely related factors-diversity and inclusion-and supported the full invariance of the resulting measurement model across both PSES administrations. Lastly, preliminary results pointed to recognition and reward (encompassing leader reward behaviours) and involvement and influence (touching on participative decision making, innovation and initiative) as predictors of job satisfaction in both samples of public service employees.

Interpretation: The present study identified the PSES as a tool for the assessment-in public service employees-of the majority of the psychosocial factors outlined in the Standard as well as two additional factors of particular importance to the federal government, diversity and inclusion. Future research to address current limitations is discussed, as are preliminary implications for practice.

Background: Reliance on the use of opioids to manage pain has increased over time, as have opioid-related morbidity and deaths. In 2018, 12.7% of Canadians reported having used opioid pain relief medications (OPRMs) in the previous year. Among these people, 9.6% had engaged in problematic use that could cause harm to their health. Though socioeconomic characteristics associated with opioid-related harms have previously been reported, population-level evidence based on administrative health data lacks important behavioural and psychosocial information. This analysis extends previous research by using modelling to report factors related to the problematic use of OPRMs for the household population aged 15 and older in Canada.

Data and methods: This analysis uses responses to the 2018 Canadian Community Health Survey to identify factors that are significantly associated, after adjustment using multivariate logistic regression models, with elevated odds of problematic use of OPRMs.

Results: The fully adjusted model confirmed that being male, being younger (ages 20 to 24), having fair or poor mental health, having unmet needs for help with mental or emotional health or substance problems, being a smoker, or being unattached and living with others were significantly related to problematic OPRM use.

Interpretation: Subjective perceptions significantly related to problematic OPRM use, independent of socioeconomic circumstances, were examined in this study. While previous research based on administrative health data has contributed much to knowledge about factors associated with opioid harms, modelled results revealed that self-reported experiential factors also warrant consideration as they are significantly associated with problematic use. Having fair or poor mental health, having unmet perceived needs for help, and being unattached in terms of household arrangement relationship were related to problematic use of OPRMs, even after adjustment for socioeconomic and other health covariates. This study suggests risk profiles that could be used to inform health care providers, and strategies to support safe pain management.