Showing papers by "Ernest Lo published in 2017"

Standard Period Life Table Used to Compute the Life Expectancy of Diseased Subpopulations: More Confusing Than Helpful

Abstract: Life expectancy (LE) based on a period life table (PLT) traditionally serves as a general population summary metric. It is, however, becoming more frequently reported for chronically afflicted subpopulations. In general populations, there is always an obvious real cohort sharing the hypothetical PLT cohort characteristics, and the LE estimate is intuitively understood as that real cohort mean survival time, assuming constancy of death risks. In diseased subpopulations, the correspondence between the hypothetical cohort and a real cohort is not straightforward. Furthermore, the excess mortality of chronic diseases usually changes according to age at onset and time since onset. The standard PLT method does not allow for proper control of these issues, so the LE estimate can only be deemed valid under specific assumptions. Without clear statements about the real cohort to whom the estimate is intended and the assumptions allowing disregard of the effect of age at onset and time since onset, LEs of afflicted subpopulations computed with the PLT are only abstract numbers summarizing mortality rates. If called "life expectancy," they can be seriously misleading. The same applies to health-adjusted LE.

The economic consequences of obesity and overweight among adults in Quebec

Abstract: OBJECTIVES: This article presents the first study of the economic consequences of obesity and overweight in the Canadian province of Quebec. The article examines three types of direct costs: hospitalizations, medical visits and drug consumption; and one type of indirect cost: productivity loss due to disability. METHODS: The National Population Health Survey, conducted in all Canadian provinces by Statistics Canada between 1994 and 2011, provides self-reported longitudinal data for body mass index and the frequency of health care utilization and disability. RESULTS: When we compared obese adults in Quebec to those with a normal weight at the beginning of the follow-up period, we observed that the former had significantly more frequent visits to the physician, more frequent hospital stays and higher consumption of drugs between 1994 and 2011. We estimated the annual cost of the excess health care utilization and excess disability at more than CAD $2.9 billion in 2011. CONCLUSION: The results confirm that, similar to what had been found elsewhere in Canada and abroad, there are important economic consequences associated with overweight and obesity in Quebec.

Region-level obesity projections and an examination of its correlates in Quebec.

Abstract: OBJECTIVES: Regional public health policy-makers frequently adopt obesity programs and objectives that have been established at global, provincial/state or national levels. However, the presence of substantial inter-regional disparities could render this practice inefficient. Studies that collectively assess obesity prevalence, temporal trends and their heterogeneity at the region level are rare, though they could be used to support better regional surveillance and planning. To address this gap, our study projected obesity prevalence time series to 2023 for 16 health regions in Quebec. We also compared the extent to which yearly rates of increase (or slope) versus cross-sectional prevalence drove regional heterogeneity and correlated with obesity-related sociodemographic and behavioural characteristics. METHODS: Projections were done using weighted compositional regression to fit and extrapolate obesity prevalence time series (1987–2012). Heterogeneity in obesity prevalence as a function of time and obesity slope were characterized using standard deviation. The correlation of region-level obesity prevalence and slope with 14 area-level obesity-related characteristics was assessed. RESULTS: Obesity prevalence is projected to increase in all regions. Region-level heterogeneity in prevalence in 2012 ( σ = 2.2%) is projected to increase to ( σ = 3.1%) by 2023. The increase in prevalence heterogeneity appeared to be driven by region-level heterogeneity in slope ( β = 0.22%–0.51%/year). Obesity-related characteristics were found to be more strongly correlated with slope than with prevalence. CONCLUSION: Large area obesity trends mask substantial and increasing region-level disparities. Obesity slope appears to drive region-level heterogeneity and correlate strongly with explanatory factors, and may represent a pertinent metric for public health monitoring.