Dataset Information

Obesity, lifestyle risk-factors, and health service outcomes among healthy middle-aged adults in Canada.

ABSTRACT: The extent to which uncomplicated obesity among an otherwise healthy middle-aged population is associated with higher longitudinal health-care expenditures remains unclear.To examine the incremental long-term health service expenditures and outcomes associated with uncomplicated obesity, 9398 participants of the 1994-1996 National Population Health Survey were linked to administrative data and followed longitudinally forward for 11.5?years to track health service utilization costs and death. Patients with pre-existing heart disease, those who were 65?years of age and older, and those with self-reported body mass indexes of <18.5?kg/m² at inception were excluded. Propensity-matching was used to compare obesity (+/- other baseline risk-factors and lifestyle behaviours) with normal-weight healthy controls. Cost-analyses were conducted from the perspective of Ontario's publicly-funded health care system.Obesity as an isolated risk-factor was not associated with significantly higher health-care costs as compared with normal weight matched controls (Canadian $8,294.67 vs. Canadian $7,323.59, P?=?0.27). However, obesity in combination with other lifestyle factors was associated with significantly higher cumulative expenditures as compared with normal-weight healthy matched controls (CAD$14,186.81 for those with obesity?+?3 additional risk-factors vs. CAD$7,029.87 for those with normal BMI and no other risk-factors, P?

SUBMITTER: Alter DA

PROVIDER: S-EPMC3439326 | biostudies-other | 2012 Aug

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Obesity, lifestyle risk-factors, and health service outcomes among healthy middle-aged adults in Canada.

Alter David A DA Wijeysundera Harindra C HC Franklin Barry B Austin Peter C PC Chong Alice A Oh Paul I PI Tu Jack V JV Stukel Therese A TA

BMC health services research 20120804

<h4>Background</h4>The extent to which uncomplicated obesity among an otherwise healthy middle-aged population is associated with higher longitudinal health-care expenditures remains unclear.<h4>Methods</h4>To examine the incremental long-term health service expenditures and outcomes associated with uncomplicated obesity, 9398 participants of the 1994-1996 National Population Health Survey were linked to administrative data and followed longitudinally forward for 11.5 years to track health servi ...[more]

PMID: 22863333

Similar Datasets

Project description:ImportanceA healthy lifestyle is associated with a reduced risk of cardiovascular disease in adults with obesity. Little is known about the associations between a healthy lifestyle and the risk of other obesity-attributable diseases in this population.ObjectiveTo examine the association between healthy lifestyle factors and the incidence of major obesity-related diseases in adults with obesity compared with those with normal weight.Design, setting, and participantsThis cohort study evaluated UK Biobank participants aged 40 to 73 years and free of major obesity-attributable disease at baseline. Participants were enrolled from 2006 to 2010 and prospectively followed up for disease diagnosis.ExposuresA healthy lifestyle score was constructed using information on not smoking, exercising regularly, no or moderate alcohol consumption, and eating a healthy diet. For each lifestyle factor, participants scored 1 if they met the criterion for a healthy lifestyle and 0 otherwise.Main outcomes and measuresThe risk of outcomes according to the healthy lifestyle score in adults with obesity compared with those with normal weight were examined using multivariable Cox proportional hazards models with Bonferroni correction for multiple testing. The data analysis was performed between December 1, 2021, and October 31, 2022.ResultsA total of 438 583 adult participants in the UK Biobank were evaluated (female, 55.1%; male, 44.9%; mean [SD] age, 56.5 [8.1] years), of whom 107 041 (24.4%) had obesity. During a mean (SD) follow-up of 12.8 (1.7) years, 150 454 participants (34.3%) developed at least 1 of the studied diseases. Compared with adults with obesity and 0 healthy lifestyle factors, individuals with obesity who met all 4 healthy lifestyle factors were at lower risk of hypertension (HR, 0.84; 95% CI, 0.78-0.90), ischemic heart disease (HR, 0.72; 95% CI, 0.65-0.80), arrhythmias (HR, 0.71; 95% 0.61-0.81), heart failure (HR, 0.65; 95% CI, 0.53-0.80), arteriosclerosis (HR, 0.19; 95% CI, 0.07-0.56), kidney failure (HR, 0.73; 95% CI, 0.63-0.85), gout (HR, 0.51; 95% CI, 0.38-0.69), sleep disorders (HR, 0.68; 95% CI, 0.56-0.83), and mood disorders (HR, 0.66; 95% CI, 0.56-0.78). The lifestyle profiles associated with the lowest risks included a healthy diet and at least 1 of the 2 healthy behaviors of physical activity and never smoking. Compared with adults with normal weight, those with obesity were at higher risk of several outcomes, irrespective of the lifestyle score (adjusted HRs ranged from 1.41 [95% CI, 1.27-1.56] for arrhythmias to 7.16 [95% CI, 6.36-8.05] for diabetes for adults with obesity and 4 healthy lifestyle factors).Conclusion and relevanceIn this large cohort study, adherence to a healthy lifestyle was associated with reduced risk of a wide range of obesity-related diseases, but this association was modest in adults with obesity. The findings suggest that although a healthy lifestyle seems to be beneficial, it does not entirely offset the health risks associated with obesity.

Project description:BackgroundThere is a current lack of consensus on defining metabolically healthy obesity (MHO). Limited data on dietary and lifestyle factors and MHO exist. The aim of this study is to compare the prevalence, dietary factors and lifestyle behaviours of metabolically healthy and unhealthy obese and non-obese subjects according to different metabolic health criteria.MethodCross-sectional sample of 1,008 men and 1,039 women aged 45-74 years participated in the study. Participants were classified as obese (BMI ? 30 kg/m(2)) and non-obese (BMI < 30 kg/m(2)). Metabolic health status was defined using five existing MH definitions based on a range of cardiometabolic abnormalities. Dietary composition and quality, food pyramid servings, physical activity, alcohol and smoking behaviours were examined.ResultsThe prevalence of MHO varied considerably between definitions (2.2% to 11.9%), was higher among females and generally increased with age. Agreement between MHO classifications was poor. Among the obese, prevalence of MH was 6.8% to 36.6%. Among the non-obese, prevalence of metabolically unhealthy subjects was 21.8% to 87%. Calorie intake, dietary macronutrient composition, physical activity, alcohol and smoking behaviours were similar between the metabolically healthy and unhealthy regardless of BMI. Greater compliance with food pyramid recommendations and higher dietary quality were positively associated with metabolic health in obese (OR 1.45-1.53 unadjusted model) and non-obese subjects (OR 1.37-1.39 unadjusted model), respectively. Physical activity was associated with MHO defined by insulin resistance (OR 1.87, 95% CI 1.19-2.92, p = 0.006).ConclusionA standard MHO definition is required. Moderate and high levels of physical activity and compliance with food pyramid recommendations increase the likelihood of MHO. Stratification of obese individuals based on their metabolic health phenotype may be important in ascertaining the appropriate therapeutic or intervention strategy.

Project description:Sleep misperception has long been a major issue in the field of insomnia research. Most studies of sleep misperception examine sleep underestimation by comparing the results of polysomnography conducted in a laboratory environment with patients' sleep diary entries. We aimed to investigate psychosocial characteristics of adults who underestimated or overestimated sleep time in a nonclinical, middle-aged community-dwelling population. We collected one week of sleep data with wrist-worn accelerometers. We used egocentric social network analysis to analyze the effects of psychosocial factors. Among 4,060 study participants, 922 completed the accelerometer substudy. Underestimation was defined as an accelerometer-measured sleep time ≥ 6 h and a subjective sleep time < 6 h. Overestimation was defined as an objective sleep time < 6 h and a subjective sleep time ≥ 6 h. Psychosocial characteristics of the sleep misperception group were evaluated using multivariate regression analysis. A total of 47 participants underestimated sleep time, and 420 overestimated sleep time. Regression analysis revealed that women, living with spouse, economic satisfaction, and bridging potential had protective effects against sleep underestimation. Blame from a spouse involved a 3.8-times higher risk of underestimation than the control group (p = 0.002). In men, discussing concerns with a spouse had a protective effect against underestimation (p < 0.001). Economic satisfaction, feeling social network-based intimacy, and support from a spouse were associated with overestimation in women. In men, feeling social network-based intimacy was also associated with overestimation (p < 0.001). We found that social relationship quality was related to sleep overestimation and underestimation. This association was marked in women. Good social relationships may have positive effects on sleep misperception via attenuation of negative emotional reactions and effects on emotional regulation.

Dataset Information

Obesity, lifestyle risk-factors, and health service outcomes among healthy middle-aged adults in Canada.

Publications

Obesity, lifestyle risk-factors, and health service outcomes among healthy middle-aged adults in Canada.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets