Is recovery from ankle sprains negatively affected by obesity?

OBJECTIVE: Ankle sprains are common injuries that may lead to long-term morbidity. Individuals with obesity are at increased risk for ankle sprains; however, prognostic associations between body mass index (BMI) and recovery are less well understood. This study investigated whether BMI status affects recovery from ankle sprains. METHODS: We included individuals≥16 years old with grade 1 or 2 ankle sprains who sought emergency department treatment in Kingston, Ontario, Canada. Height in centimeters and weight in kilograms were measured at baseline by using a height rod and a standard medical column scale, respectively. BMI was calculated and categorized as non-overweight,<25.0kg/m2; overweight, 25.0-29.9kg/m2; and obese,≥30kg/m2. Recovery was assessed at 1, 3 and 6 months post-injury by the Foot and Ankle Outcome Score (FAOS). Continuous FAOS and binary recovery status were compared by BMI group at each assessment using a repeated measures linear mixed effects model and logistic regression, respectively. RESULTS: In total, 504 individuals were recruited and 6-month follow-up data were collected for 80%. We observed no significant differences in recovery at 1 and 3 months post-injury. At 6 months, between 53% and 66% of the participants were considered to have recovered according to the FAOS. The mean difference in unadjusted FAOS between participants classified as obese and non-overweight was -23.02 (95% confidence interval, -38.99 to -7.05) but decreased after adjusting for confounders. The odds ratio for recovery was 0.60 (0.37-0.97) before adjustment and 0.74 (0.43-1.29) after adjustment. Six-month recovery was significantly lower for participants with obesity than non-overweight participants on the FAOS Pain and Function in Daily Living subscales but were not clinically meaningful. CONCLUSIONS: All BMI groups showed improvements from ankle sprain over time. However, at 6 months, a sizeable proportion of the participants had not fully recovered particularly among individuals classified as obese. The findings suggest that individuals with obesity may benefit from specialized interventions focused on symptom management and functional activity.

Using national surveys for mental health surveillance of individuals with intellectual disabilities in Canada.

INTRODUCTION: Individuals with intellectual disabilities have a higher prevalence of health problems, including psychiatric and behavioural conditions, than the general population. However, there is little population-based information in Canada about individuals with a dual diagnosis of psychiatric disorder and intellectual impairment. The aim of this study was to determine whether the 2005 Canadian Community Health Survey (CCHS) and the 2006 Participation and Activity Limitation Survey (PALS) could be used to estimate the prevalence of dual diagnosis in Canada. METHODS: We undertook a secondary analysis of two population-based surveys to determine if these could be used to estimate the prevalence of psychiatric or behavioural conditions among adults with intellectual disabilities in Canada. RESULTS: The surveys reflect prevalence estimates of intellectual disabilities (CCHS: 0.2% and PALS: 0.5%) that are considerably lower than those published in the literature. While it was possible to calculate the proportion of individuals with a dual diagnosis (CCHS: 30.6% and PALS: 44.3%), the surveys were of limited use for detailed analyses. The estimates of prevalence derived from the surveys, especially from the CCHS, were of unacceptable quality due to high sampling variability and selection bias. CONCLUSION: The estimates should be interpreted with caution due to concerns regarding the representativeness of the sample with intellectual disabilities in the national surveys.

Choosing a measure of support need: implications for research and policy.

BACKGROUND: The paradigm surrounding the delivery of care for individuals with intellectual disabilities (ID) is shifting from a deficit-based approach to a support-based approach. However, it is unclear whether measures of support act as a proxy for adaptive functioning. METHODS: A sample of 40 staff or family members of individuals with ID completed the Supports Intensity Scale and the Scales of Independent Behavior-Revised, Short Form. Correlations were used to examine the relationship between these scales. RESULTS: The subscales of the Supports Intensity Scale as well as the overall support needs index were highly correlated with both the Broad Independence W score and the support score (which reflects both maladaptive and adaptive behaviours) of the Scales of Independent Behavior-Revised. CONCLUSIONS: The strong correlations between these two scales confirm previous findings that current measures of support and measures of adaptive behaviour tap into the same underlying construct. These findings have implications for the development, use and interpretation of research and planning tools.