The impact of the COVID-19 pandemic on inequalities in lifestyle behaviours and mental health and wellbeing of elementary school children in northern Canada.

Objectives: The COVID-19 pandemic has negatively affected children's lifestyle behaviours and mental health and wellbeing, and concerns have been raised that COVID-19 has also increased health inequalities. No study to date has quantified the impact of COVID-19 on health inequalities among children. We compared pre-pandemic vs. post-lockdown inequalities in lifestyle behaviours and mental health and wellbeing among children living in rural and remote northern communities. Methods: We surveyed 473 grade 4-6 students (9-12 years of age) from 11 schools in rural and remote communities in northern Canada in 2018 (pre-pandemic), and 443 grade 4-6 students from the same schools in 2020 (post-lockdown). The surveys included questions on sedentary behaviours, physical activity, dietary intake, and mental health and wellbeing. We measured inequality in these behaviors using the Gini coefficient, a unitless measure ranging from 0 to 1 with a higher value indicating greater inequality. We used temporal changes (2020 vs. 2018) in Gini coefficients to assess the impact of COVID-19 on inequalities in lifestyle behaviours and mental health and wellbeing separately among girls and boys. Results: Inequalities in all examined lifestyle behaviours increased between 2018 and 2020. Inequalities in watching TV, playing video games, and using a cell phone increased among girls, while inequalities in playing video games, using computers and tablets, and consumption of sugar, salt, saturated fat and total fat increased among boys. Changes in inequalities in mental health and wellbeing were small and not statistically significant. Conclusion: The findings suggest that the COVID-19 pandemic has exacerbated inequalities in lifestyle behaviours among children living in rural and remote northern communities. If not addressed, these differences may translate into exacerbated inequalities in future health. The findings further suggest that school health programs can help mitigate the negative impact of the pandemic on lifestyle behaviours and mental health and wellbeing.

Developing a Socioeconomic Status Index for Chronic Disease Prevention Research in Canada.

Capturing socioeconomic inequalities in relation to chronic disease is challenging since socioeconomic status (SES) encompasses many aspects. We constructed a comprehensive individual-level SES index based on a broad set of social and demographic indicators (gender, education, income adequacy, occupational prestige, employment status) and examined its relationship with smoking, a leading chronic disease risk factor. Analyses were based on baseline data from 17,371 participants of Alberta's Tomorrow Project (ATP), a prospective cohort of adults aged 35−69 years with no prior personal history of cancer. To construct the SES index, we used principal component analysis (PCA) and to illustrate its utility, we examined the association with smoking intensity and smoking history using multiple regression models, adjusted for age and gender. Two components were retained from PCA, which explained 61% of the variation. The SES index was best aligned with educational attainment and occupational prestige, and to a lesser extent, with income adequacy. In the multiple regression analysis, the SES index was negatively associated with smoking intensity (p < 0.001). Study findings highlight the potential of using individual-level SES indices constructed from a broad set of social and demographic indicators in epidemiological research.

P value and Bayesian analysis in randomized-controlled trials in child health research published over 10 years, 2007 to 2017: a methodological review protocol.

BACKGROUND: There is an unresolved debate about the reliability of the interpretation of P value. Some investigators have suggested that an alternative Bayesian method is preferred in conducting health research. As randomized-controlled trials (RCTs) are important in generating research evidence, we decided to investigate the extent, if any, the inferential statistical framework in published RCTs in child health research have changed over 10 years. We aim to examine the change in P value and Bayesian analysis in RCTs in child health research papers published from 2007 to 2017. METHODS: We will search the Cochrane Central Register of Controlled Trials (Wiley) to identify relevant citations. We will leverage a pre-existing sample of child health RCTs published in 2007 (n=300) used in our previous study of reporting quality of pediatric RCTs. Using the same strategy and study selection methods, we will identify a comparable random sample of child health RCTs published in 2017 (n=300). Eligible studies will include RCTs in health research among individuals aged 21 years and below. One reviewer will select studies for inclusion and extract the data and another reviewer will verify these. Disagreements will be resolved by a discussion between reviewers or by involving another reviewer. We will perform a descriptive analysis of 2007 and 2017 samples and analyze the results using both the frequentist and Bayesian methods. We will present specific characteristics of the clinical trials from 2007 and 2017 in tabular and graphical forms. We will report the difference in the proportion of P value and Bayesian analysis between 2007 and 2017 to assess the 10-year change. Clustering around P values of significance, if observed, will be reported. DISCUSSION: This review will present the difference in the proportion of trials that reported on P value and Bayesian analysis between 2007 and 2017 to assess the 10-year change. The implications for future clinical research will be discussed and this research work will be published in a peer-reviewed journal. This review has the potential to help inform the need for a change in the methodological approach from the null hypothesis significance test to Bayesian methods. SYSTEMATIC REVIEW REGISTRATION: Open Science Framework https://osf.io/aj2df.