OBJECTIVE: To examine the relationship between body mass index (BMI) and health-related quality-of-life (HRQL), in the presence of dietary controls and/or exercise in a national sample in the United States. METHODS: BMI and its association with HRQL domains (physical, mental and activity limitations) were examined using the Centers' for Disease Control and Prevention's 2000 Behavioral Risk Factor Surveillence System (BRFSS) data, after adjusting for various sociodemographic factors, self-reported health-status, and diet/exercise behavior. RESULTS: Based on World Health Organization's (WHO) classification of obesity, the study sample (N ¼ 182 372) included approximately 43.7% nonoverweight, 36% overweight, 14% obese, and 7% severely obese respondents. Exercise and dietary modifications were used by 17.5% of overweight, 15.2% of obese, and 12.5% of severely obese individuals. Logistic regression results using nonoverweight BMI as the reference category showed that severely obese (OR ¼ 1.87, 95% CI 1.64-2.12) and obese (OR ¼ 1.21, 95% CI 1.09-1.33) were more likely to experience greater than 14 unhealthy days affecting the physical health domain. Severely obese (OR ¼ 1.41, 95% CI 1.26-1.59) and obese (OR ¼ 1.17, 95% CI 1.07-1.28) were also more likely to experience greater than 14 unhealthy days affecting the mental health domain. Similarly, severely obese (OR ¼ 1.73, 95% CI 1.50-1.99) and obese (OR ¼ 1.22, 95% CI 1.08-1.37) were more likely to experience greater than 14 days with activity limitations. Exercise and dietary controls were associated with better HRQL across all three domains. CONCLUSION: The study highlights the relationship between BMI and HRQL in the United States. The study also underlines the positive correlation of exercise and dietary modifications with HRQL.
The impact of caring for a child with autism on caregivers' health-related quality of life (HRQOL) is not fully understood. The objective of this study was to compare the HRQOL scores of caregivers of children with autism to those of the general US population and to identify the factors that influence HRQOL. Caregivers of children with autism had lower HRQOL scores than the general population. Care recipient level of functional impairment, social support, use of maladaptive coping, and burden influenced caregiver mental HRQOL. Care recipient extent of behavioral problems and social support influenced caregiver physical HRQOL. Findings emphasize the use of multi-pronged intervention approach that incorporates components aimed at improving family functioning, increasing support services, and assisting caregivers in developing healthy coping skills.
This cross-sectional study examined perceived access to services, quality of care, and family impact reported by caregivers of children aged 3–17 years with autism spectrum disorders, as compared to caregivers of children with other developmental disabilities and other mental health conditions. The 2009–2010 National Survey of Children with Special Health Care Needs was utilized to examine the association between child’s special needs condition and three outcomes (N = 18,136): access to services (difficulty using services, difficulty getting referrals, lack of source of care, and inadequate insurance coverage), quality of care (lack of care coordination, lack of shared decision making, and no routine screening), and family impact (financial, employment, and time-related burden). Multivariate logistic regressions were performed to compare caregivers of children with autism spectrum disorders to caregivers of children with developmental disabilities (cerebral palsy, Down syndrome, developmental delay, or intellectual disability), mental health conditions (attention deficit hyperactivity disorder, anxiety, behavioral/conduct problems, or depression), or both developmental disabilities and mental health conditions. Caregivers of children with autism spectrum disorders were significantly more likely to report difficulty using services, lack of source of care, inadequate insurance coverage, lack of shared decision making and care coordination, and adverse family impact as compared to caregivers of children with developmental disabilities, mental health conditions, or both.
A retrospective data analysis using 2000–2008 three state Medicaid Analytic eXtract was conducted to examine the prevalence and association of comorbidities (psychiatric and non-psychiatric) with healthcare utilization and expenditures of fee-for-service enrolled adults (22–64 years) with and without autism spectrum disorders (International Classification of Diseases, Ninth Revision–clinical modification code: 299.xx). Autism spectrum disorder cases were 1:3 matched to no autism spectrum disorder controls by age, gender, and race using propensity scores. Study outcomes were all-cause healthcare utilization (outpatient office visits, inpatient hospitalizations, emergency room, and prescription drug use) and associated healthcare expenditures. Bivariate analyses (chi-square tests and t-tests), multinomial logistic regressions (healthcare utilization), and generalized linear models with gamma distribution (expenditures) were used. Adults with autism spectrum disorders (n = 1772) had significantly higher rates of psychiatric comorbidity (81%), epilepsy (22%), infections (22%), skin disorders (21%), and hearing impairments (18%). Adults with autism spectrum disorders had higher mean annual outpatient office visits (32ASD vs 8noASD) and prescription drug use claims (51ASD vs 24noASD) as well as higher mean annual outpatient office visits (US$4375ASD vs US$824noASD), emergency room (US$15,929ASD vs US$2598noASD), prescription drug use (US$6067ASD vs US$3144noASD), and total expenditures (US$13,700ASD vs US$8560noASD). The presence of a psychiatric and a non-psychiatric comorbidity among adults with autism spectrum disorders increased the annual total expenditures by US$4952 and US$5084, respectively.
Purpose The aim of this study is to compare health behaviors between breast, prostate, female, and male colorectal cancer survivors to noncancer controls, stratified by short- and long-term survivors, and between cancer types and genders. Methods A 3:1 population-based sample of breast (6,259), prostate (3,609), female colorectal (1,082), and male colorectal (816) cancer survivors from the 2009 Behavioral Risk Factor Surveillance System survey were matched to noncancer controls on age, gender, race/ethnicity, income, insurance, and region of the US. The likelihood of flu immunization, physical check-up, cholesterol check, body mass index (BMI), physical activity, diet (5-A-Day), smoking, and alcohol use were compared between groups using binomial logistic regression models. Results Short-term breast cancer survivors were significantly more likely to meet multiple behavioral recommendations, than controls, but the likelihood decreased in the long term. Breast and female colorectal cancer survivors were up to 2.27 (95 % CI 1.90, 2.71) and 1.89 times more likely (95 % CI 1.60, 2.24) to meet the 5-A-Day and BMI recommendations, up to 0.54 times less likely (95 % CI 0.46, 0.64) to drink any alcohol, but were 0.68 times less likely (95%CI 0.49, 0.95) to meet the physical activity recommendation, compared to prostate and male colorectal cancer survivors. Conclusions Some cancer survivors may engage in better health behaviors shortly after diagnosis, but the majority of cancer survivors do not have better health behaviors than individuals without a history of cancer. However, a consistent pattern of behavioral differences exist between male and female cancer survivors. Implications for Cancer Survivors Gender differences in health behaviors among cancer survivors may be influenced by perceptions of masculinity/femininity and disease risk. Ongoing health behavioral promotion and disease prevention efforts could be improved by addressing these perceptions.
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