Dataset Information

Preventing Disability: The Influence Of Modifiable Risk Factors On State And National Disability Prevalence.

ABSTRACT: Disability levels in the United States declined during the 1980s and 1990s, but these declines stalled more recently. Using data for 2013 from the Behavioral Risk Factor Surveillance System, we estimated the percentages of national and state disability that could be prevented through reductions in five modifiable health risk factors associated with disability: cigarette smoking, obesity, diabetes, high cholesterol, and hypertension. Taking into account risk-factor prevalence and the association between each risk factor and disability, we evaluated the fraction of disability preventable if risk factors were reduced under two scenarios: complete elimination of risk factors and reduction in all states to the lowest levels observed in states. If all five risk factors were eliminated, 53 percent of disability could be prevented nationally. The largest contributors were smoking (17 percent), obesity (16 percent), and hypertension (12 percent). If all states reduced risk-factor levels to the lowest observed levels, up to 7 percent of disability could be prevented nationally. Many states in the South and Midwest could experience disability reductions of more than 10 percent by attaining the same risk-factor levels as in states that had the lowest levels. Improved risk-factor prevention could result in the resumption of longer-term declines in US disability.

SUBMITTER: Mehta NK

PROVIDER: S-EPMC6668338 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Preventing Disability: The Influence Of Modifiable Risk Factors On State And National Disability Prevalence.

Mehta Neil K NK Patel Shivani A SA Ali Mohammed K MK Narayan K.M. Venkat

Health affairs (Project Hope) 20170401 4

Disability levels in the United States declined during the 1980s and 1990s, but these declines stalled more recently. Using data for 2013 from the Behavioral Risk Factor Surveillance System, we estimated the percentages of national and state disability that could be prevented through reductions in five modifiable health risk factors associated with disability: cigarette smoking, obesity, diabetes, high cholesterol, and hypertension. Taking into account risk-factor prevalence and the association ...[more]

PMID: 28373327

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Project description:BackgroundTungiasis is a highly neglected tropical skin disease caused by the sand flea, Tunga penetrans, the female of which burrows into the skin, causing pain and itching. The disease occurs throughout South America and sub-Saharan Africa but there are few systematic data on national disease burdens. The tungiasis research community is keen to develop survey methods to fill this gap. Here we used a school-based, thorough examination method to determine the prevalence and risk factors for tungiasis in Kenya.MethodsWe conducted the first nationally representative survey of tungiasis, including nine counties covering the major ecological zones of Kenya. A stratified multistage random sampling was used to select 22 primary schools from each of the nine counties and to select up to 114 pupils aged 8 to 14 years in each school. Pupils were examined thoroughly for tungiasis. Two surveys were conducted, the first between May and July 2021 and the second between October 2021 and April 2023 when pupils were also interviewed for risk factors. Mixed effect logistic regression models were used to test associations of independent variables with tungiasis using the school as a random effect.ResultsThe overall prevalence of tungiasis in the first survey was 1.35% [95% confidence interval (CI): 1.15-1.59%], and 0.89% in the second survey. The prevalence ranged from 0.08% (95% CI: 0.01-0.59%) in Taita Taveta county to 3.24% (95% CI: 2.35-4.44%) in Kajiado county. Tungiasis infection was associated with county of residence, male sex [adjusted odds ratio (aOR) = 2.01, 95% CI: 1.52-2.67], and lower age (aOR = 0.81, 95% CI: 0.75-0.88). For the first time we demonstrate an association with attending public schools rather than private schools (aOR = 5.62, 95% CI: 1.20-26.22) and lower socioeconomic status (aOR = 0.10, 95% CI: 0.03-0.33). Using a rapid screening method of the top of feet only, would have missed 62.9% of all cases, 78.9% of mild cases and 20.0% of severe cases.ConclusionsTungiasis is widely but heterogeneously distributed across Kenya. School-based surveys offer an efficient strategy for mapping tungiasis distribution.

Project description:BackgroundIn the United States, mortality from cardiovascular disease has become increasingly common among HIV-infected persons. One-third of HIV-infected persons in care may rely on state-run AIDS Drug Assistance Programs (ADAPs) for cardiovascular disease-related prescription drugs. There is no federal mandate regarding ADAP coverage for non-HIV medications.ObjectiveTo assess the consistency of ADAP coverage for type 2 diabetes, hypertension, hyperlipidemia, and smoking cessation using clinical guidelines as the standard of care.DesignCross-sectional survey of 53 state and territorial ADAP formularies.Main measuresADAPs covering all first-line drugs for a cardiovascular risk factor were categorized as "consistent" with guidelines, while ADAPs covering at least one first-line drug, but not all, for a cardiovascular risk factor, were categorized as "partially consistent". ADAPs without coverage were categorized as "no coverage".Key resultsOf 53 ADAPs, four (7.5%) provided coverage consistent with guidelines (coverage for all first-line drugs) for all four cardiovascular risk factors. Thirteen (24.5%) provided no coverage for all four risk factors. Thirty-six (68%) provided at least partially consistent coverage for at least one surveyed risk factor. State ADAPs provided coverage consistent with guidelines most frequently for type 2 diabetes (28%), followed by hypertension (25%), hyperlipidemia (15%) and smoking cessation (8%). Statins (66%) were most commonly covered and nicotine replacement therapies (9%) least often. Many ADAPs provided no first-line treatment coverage for hypertension (60%), type 2 diabetes (51%), smoking cessation (45%), and hyperlipidemia (32%).ConclusionsConsistency of ADAP coverage with guidelines for the surveyed cardiovascular risk factors varies widely. Given the increasing lifespan of HIV-infected persons and restricted ADAP budgets, we recommend ADAP coverage be consistent with guidelines for cardiovascular risk factors.

Dataset Information

Preventing Disability: The Influence Of Modifiable Risk Factors On State And National Disability Prevalence.

Publications

Preventing Disability: The Influence Of Modifiable Risk Factors On State And National Disability Prevalence.

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