scholarly journals Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample

2018 ◽  
Vol 20 (4) ◽  
pp. e137 ◽  
Author(s):  
Zhe He ◽  
Jiang Bian ◽  
Henry J Carretta ◽  
Jiwon Lee ◽  
William R Hogan ◽  
...  
Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 341
Author(s):  
David R. Axon ◽  
Shannon Vaffis ◽  
Srujitha Marupuru

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain–hypertension group) or hypercholesterolemia (pain–hypercholesterolemia group). The pain–hypertension group included 2733 subjects (n = 803 opioid users) and the pain–hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain–hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain–hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals’ pain management and help address the opioid overdose epidemic.


10.7249/tl221 ◽  
2017 ◽  
Author(s):  
Christine Buttorff ◽  
Teague Ruder ◽  
Melissa Bauman

SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401882238 ◽  
Author(s):  
Alexandra C. H. Nowakowski ◽  
Jihyung Shin ◽  
Henry J. Carretta

Prevalence of single and multiple chronic conditions continues to increase in the United States. Chronic conditions predict significant morbidity and health care costs, especially when complicated by additional conditions. Likewise, many conditions are linked to health risk behaviors, and thus amenable to prevention. We examine regional differences in prevalence of single and multiple chronic conditions. In the process, we examine the ability of health risk behaviors to predict condition prevalence in each region. We recommend national prevention strategies with targeted content for specific geographic regions. We used 2009 Behavioral Risk Factor Surveillance System (BRFSS) data ( N = 432,607) for all analyses. After grouping states into nine U.S. Census divisions, we fitted generalized linear mixed regression models and compared regional odds ratios with national averages. Analyses controlled for helpful and harmful behaviors, health insurance coverage, and demographic characteristics. Odds ratios for single and multiple chronic conditions deviated significantly from national averages in all nine regions. Health behaviors significantly predicted prevalence for both single and multiple conditions within regions, but differences in behaviors between regions did not fully account for observed disparities in prevalence. Significant regional differences in disease prevalence suggest priority areas for prevention efforts. Promoting healthy behaviors and mitigating harmful behaviors in high-risk regions may help to reduce overall chronic condition prevalence, but is unlikely to obviate disparities between regions. Targeted needs assessment should be conducted within each region with higher-than-average risk to determine intervention strategies with the greatest likelihood of near-term impact.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Wei-Chen Lee ◽  
Marcia G. Ory

The current aging trends accompanying the increasing prevalence of multiple chronic conditions (MCCs) and decreasing participation in physical activity (PA) have swept the United States. In light of the magnitude of this phenomenon, this study seeks to identify the most common MCC combinations and their relationships with PA level. A cross-sectional study,Brazos Valley Health Assessment, was conducted between October 2009 and July 2010. All data analyses were performed by STATA 12.0. The overall sample which met the inclusion criteria is 2,603. Among people older than 45 years, chronic conditions of cardiovascular, endocrine, and musculoskeletal systems were the most prevalent. Participants with three chronic conditions were less likely to meet the PA standard than those with only two chronic conditions. Younger age, women, rural residence, and unsafe environments were related to the lower PA level. After adjusting for seven covariates, all MCCs combinations adversely affect the level of PA (, ). People with MCCs were among the least active subgroups despite the health benefits of doing exercise. Given the well-documented benefits of physical activity for delaying the onset or progression of MCCs, public health efforts to enhance regular PA in middle-aged and older adults are recommended.


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