behavioral risk factor surveillance
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PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260778
Phoebe Tran ◽  
Lam Tran ◽  
Liem Tran

Objective Effects of stroke (i.e., memory loss, paralysis) may make effective diabetes care difficult which can in turn contribute to additional diabetes related complications and hospitalization. However, little is known about US post-stroke diabetes care levels. This study sought to examine diabetes care levels among US adults with diabetes by stroke status. Methods Using 2015–2018 Behavioral Risk Factor Surveillance System surveys, the prevalence of nonadherence with the American Diabetes Association’s diabetes care measures (<1 eye exam annually, <1 foot exam annually, <1 blood glucose check daily, <2 A1C tests annually, no receipt of annual flu vaccination) was ascertained in people with diabetes by stroke status. A separate logistic regression model was run for each diabetes care measure to determine if nonadherence patterns differed by stroke status after adjustment for stroke and diabetes associated factors. Results Our study included 72,630 individuals, with 9.8% having had a stroke. Nonadherence levels varied for each diabetes care measure ranging from 20.4–42.2% for stroke survivors and 22.8–44.0% for those who had never had stroke. By stroke status, nonadherence with diabetes management measures was comparable except for stroke survivors having both a lower prevalence (30.2% versus 40.1%) and odds of nonadherence (OR: 0.73, 95% CI: 0.65, 0.82) with daily blood glucose check than those who had never had stroke. Conclusion While nonadherence with diabetes management does not vary by stroke status, considerable nonadherence still exists among stroke survivors with diabetes. Additional interventions to improve diabetes care may help to reduce risk of further diabetes complications in this population.

2021 ◽  
pp. 073346482110587
Monique J. Brown ◽  
Amandeep Kaur ◽  
Titilayo James ◽  
Carlos Avalos ◽  
Prince N. O. Addo ◽  

Objective The aim of this study was to determine the association between adverse childhood experiences (ACEs) and subjective cognitive decline (SCD) among a representative sample of the adult US population. Methods Data were obtained from the 2019 Behavioral Risk Factor Surveillance System ( N = 82,688, ≥45 years). Adverse childhood experiences included sexual, physical/psychological and environmental ACEs, and a score. Multivariable logistic regression was used to determine the association between ACEs and SCD, and SCD-related outcomes. Results Sexual (adjusted OR (aOR: 2.83; 95% CI: 2.42–3.31)), physical/psychological (aOR: 2.05; 95% CI: 1.83–2.29), and environmental (aOR: 1.94; 95% CI: 1.74–2.16) ACEs were associated with SCD in the past year. There was also a dose-response relationship between ACE score and SCD. Conclusion ACEs were associated with SCD. Interventions to maximize cognitive health in aging and prevent future cognitive impairment should consider the potential role of ACEs among affected populations.

2021 ◽  
Karen Schliep ◽  
Lily Gu ◽  
Kristine Lynch ◽  
Michelle Sorweid ◽  
Michael Varner ◽  

Abstract Background Prior research indicates that at least 35% of Alzheimer’s disease and related dementia risk may be amenable to prevention. Subjective cognitive decline is often the first indication of preclinical dementia, with the risk of subsequent Alzheimer’s disease in such individuals being greater in women than men. We wished to understand how modifiable factors are associated with subjective cognitive decline, and whether differences exist by sex. Methods Data were collected from men and women (45 years and older) who completed the U.S. Behavioral Risk Factor Surveillance System Cognitive Decline Module (2015–2018), n=216,838. We calculated population attributable fractions for subjective cognitive decline, stratified by sex, of the following factors: limited education, deafness, social isolation, depression, smoking, physical inactivity, obesity, hypertension, and diabetes. Our models were adjusted for age, race, income, employment, marital and Veteran status, and accounted for communality among risk factors. Results The final study sample included more women (53.7%) than men, but both had a similar prevalence of subjective cognitive decline (10.6% of women versus 11.2% of men). Women and men had nearly equivalent overall population attributable fractions to explain subjective cognitive decline (39.7% for women versus 41.3% for men). The top three contributing risk factors were social isolation, depression, and hypertension, which explained three-quarters of the overall population attributable fraction. Conclusions While we did not identify any differences in modifiable factors between men and women contributing to subjective cognitive decline, other factors including reproductive or endocrinological health history or biological factors that interact with sex to modify risk warrant further research.

2021 ◽  
pp. 003464462110558
Joaquin Alfredo Angel Rubalcaba ◽  
Candis Watts Smith

There is no shortage of evidence documenting glaring disparities on important socioeconomic and health indicators between White and Black Americans. Persistent racial disparities are the consequence of a historic system of structural racism. Given ongoing inequities in nearly every realm of American life, we aim to calculate the contemporary cost of racial inequity. We contribute to a growing body of literature concerning the “hidden cost” of being Black by employing a novel methodological approach and centering a paradigm of intersectionality ( Crenshaw, 1991 ; Shapiro, 2004 ). Specifically, we account for the disparities in health and income between Blacks and Whites by using the compensating and equivalent surplus frameworks to calculate willingness to accept (WTA) and willingness to pay (WTP) estimates. We estimate the WTP to avoid the disparity in health, income, and wellbeing between Black and White Americans, to be between approximately $38,000 and $45,000 per year per person using the Behavioral Risk Factor Surveillance System as well as the General Social Survey, respectively. These estimates can be interpreted as the annual willingness to pay by an average White person to avoid the disparities in income and health experienced by the average Black person.

2021 ◽  
Vol 111 (12) ◽  
pp. 2239-2250
Madeline R. Sterling ◽  
Jia Li ◽  
Jacklyn Cho ◽  
Joanna Bryan Ringel ◽  
Sharon R. Silver

Objectives. To determine the prevalence and predictors of US home health care workers’ (HHWs’) self-reported general, physical, and mental health. Methods. Using the 2014–2018 Behavioral Risk Factor Surveillance System, we analyzed the characteristics and health of 2987 HHWs (weighted n = 659 000) compared with 2 similar low-wage worker groups (health care aides and health care support workers, not working in the home). We conducted multivariable logistic regression to determine which characteristics predicted HHWs’ health. Results. Overall, 26.6% of HHWs had fair or poor general health, 14.1% had poor physical health, and 20.9% had poor mental health; the prevalence of each outcome was significantly higher than that of the comparison groups. Among HHWs, certain factors, such as low household income, an inability to see a doctor because of cost, and a history of depression, were associated with all 3 aspects of suboptimal health. Conclusions. HHWs had worse general, physical, and mental health compared with low-wage workers not in home health. Public Health Implications. Increased attention to the health of HHWs by public health experts and policymakers is warranted. In addition, targeted interventions appropriate to their specific health needs may be required. (Am J Public Health. 2021;111(12):2239–2250. )

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 511-511
Kanika Arora

Abstract Research on risky health behaviors among caregivers is limited. In this paper, we examine the association between informal caregiving and marijuana use and whether this association varies by age. Using data from Behavioral Risk Factor Surveillance System (2016-2019), a multivariable logistic regression model compared marijuana use in “caregivers” and “expectant caregivers.” We stratified the analyses by age and also assessed the association between caregiving intensity and marijuana use. Among younger individuals (18-49 years), informal caregiving was associated with higher odds of marijuana use. In this group, higher prevalence of marijuana use was positively associated with care intensity. There was no detectable association between caregiving and marijuana use among older individuals (50 years or older). Health behaviors among caregivers differ by age. Combined exposure to informal caregiving and marijuana in young adulthood may lead to adverse long-term health consequences. Immediate effects of marijuana use may negatively influence care recipient outcomes.

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