Predictors of Subjective Cognitive Decline Among People With Diabetes: Data From the Behavioral Risk Factor Surveillance System

2021 ◽  
pp. 263501062110017
Author(s):  
Ya-Ching Huang ◽  
Heather E. Cuevas ◽  
Julie A. Zuñiga ◽  
Alexandra A. García
Keyword(s):  
Risk Factor ◽  
Cognitive Decline ◽  
Surveillance System ◽  
Functional Limitations ◽  
Subjective Cognitive Decline ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Self Rated Health ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Purpose The purpose of this study was to examine the prevalence of subjective cognitive decline (SCD) and SCD-related functional limitations among people with diabetes and to identify socioeconomic and comorbidity risk factors associated with SCD. Methods This study analyzed data from the 2017 Behavioral Risk Factor Surveillance System (BRFSS) with background variables (race, gender, education, and age), health-related factors (self-rated health, BMI, insurance, and comorbid conditions), and health behaviors (smoking, exercise, alcohol consumption) entered simultaneously to estimate logistic regression models of SCD. Results Within the sample (n = 5263 adults with diabetes), 48% were age ≥65 years; 50% were male; 55% were non-Hispanic White; and of the 15% who reported having SCD, 57% had functional limitations. Increased odds of reporting SCD were observed among individuals who were Hispanic (odds ratio [OR] = 2.21, P < .001), male (OR = 1.47, P < .01), depressed (OR = 3.85, P < .001), or had arthritis (OR = 1.43, P < .03). Participants with better self-rated health had a reduced likelihood of SCD (OR = 0.51, P < .001). Conclusions Health care providers should assess high-risk patients for self-rated cognitive dysfunction and offer early interventions.

Estimating Dementia and Receipt of Informal Care Using Behavioral Risk Factor Surveillance System Data

2017 ◽  
Vol 32 (3) ◽  
pp. 129-136
Author(s):  
Mary Adams
Keyword(s):  
Risk Factor ◽  
Cognitive Decline ◽  
Informal Care ◽  
Surveillance System ◽  
Subjective Cognitive Decline ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
System Data

Introduction: Estimates of US adults with dementia differ widely and don’t distinguish adults living in the community. Methods: Behavioral Risk Factor Surveillance System data from 120 485 households in 21 states that used a cognitive decline module in 2011 were used. Data for both respondents and other adults with subjective cognitive decline (SCD) were included through proxy responses. Using responses to questions about the receipt of informal care for their SCD and diagnosed dementia, estimates were made for each state. Results: Overall, 2.9% (range: 1.5% in Tennessee to 5.3% in Arkansas) of all noninstitutionalized adults in these states received informal care for their SCD and 0.9% (range: 0.5% in Tennessee to 2.0% in Arkansas) were estimated to have dementia. Limiting results to respondents reduced estimates significantly. Discussion: Combined results for respondents and nonrespondents from a representative telephone survey provide varying estimates of SCD-related measures across states, highlighting the need for state-specific estimates.

scholarly journals HEALTH BEHAVIORS ASSOCIATED WITH SUBJECTIVE COGNITIVE DECLINE IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S912-S912
Author(s):  
Kristi M Wisniewski ◽  
Elizabeth M Zelinski
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Alcohol Consumption ◽  
Cognitive Decline ◽  
Surveillance System ◽  
Subjective Cognitive Decline ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Abstract Participation in risky health behaviors can increase the potential for cognitive decline. Smoking, alcohol consumption, and minimal physical activity are modifiable risk factors associated with worse performance on cognitive assessments; however, the relationship between subjective cognitive decline (SCD) and risky practices has not been assessed. As a potential early indicator of cognitive impairment, SCD may serve as a screening measure for dementia. The Behavioral Risk Factor Surveillance System is an annual, self-reported telephone survey of Americans that includes fifteen core and twenty-five optional sections. The present study included Behavioral Risk Factor Surveillance System participants age 45 or older who completed the core and cognitive decline modules in 2015 (n=147,243). Roughly 11% of participants endorsed worsening memory in the previous year. Logistic regression examined the impact of smoking, drinking, and inactivity on self-reported cognitive decline. Current or former smokers had greater odds of endorsing cognitive decline compared to those who never smoked (OR=1.4; 95% CI: 1.27-1.52). Individuals who consumed at least one alcoholic beverage in the previous month had lower SCD odds compared to non-drinkers (OR=0.8; 95% CI: 0.72-0.87). Respondents who engaged in little to no physical activity had greater odds of endorsing cognitive decline compared to active respondents (OR=1.4; 95% CI: 1.31-1.57). Individuals who endorsed cognitive decline engaged in unhealthy habits such as smoking or inactive lifestyles; however, low to moderate alcohol consumption may be beneficial for cognitive functioning.

Disparities of Subjective Cognitive Decline Among Native Hawaiians/Other Pacific Islanders, Asian Americans, and White Americans in Hawai‘i: Behavioral Risk Factor Surveillance System 2015 and 2017

2021 ◽  
pp. 101053952110209
Author(s):  
Uyanga Ganbat ◽  
Yan Yan Wu
Keyword(s):  
Cognitive Decline ◽  
Surveillance System ◽  
Pacific Islanders ◽  
Native Hawaiians ◽  
Subjective Cognitive Decline ◽  
Behavioral Risk ◽  
White Americans ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Existing research on subjective cognitive decline (SCD) among Native Hawaiians/Other Pacific Islanders (NHOPIs) is limited even though NHOPI adults have the highest prevalence of cardiovascular risk factors. In this study, we investigated SCD disparities among NHOPIs, Asian Americans, and White Americans and its contributing factors utilizing the 2015 and 2017 survey year data from the Behavioral Risk Factor Surveillance System (BRFSS) for Hawai‘i State in the United States. The SCD prevalence was 11.9%, 8.97%, and 7.86% among NHOPIs, Whites, and Asians, respectively. Adjusting for sociodemographic and health behavioral variables, the prevalence ratios (PRs) of SCD were 1.37 (95% confidence interval [CI] = 1.05-1.78) for NHOPI versus Asian and 1.15 (95% CI = 0.89-1.50) for NHOPI versus Whites. The associations were weakened after adjusting for health conditions. Depressive disorders, coronary heart disease or myocardial infarction, stroke, and diabetes were associated with cognitive decline in the multivariate-adjusted model. NHOPIs experienced more SCD-related functional difficulties than other races.

scholarly journals DATA FOR ACTION: CDC’S BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM (BRFSS) COGNITIVE DECLINE AND CAREGIVING DATA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S366-S367
Author(s):  
Lisa C McGuire
Keyword(s):  
Puerto Rico ◽  
Risk Factor ◽  
Cognitive Decline ◽  
Surveillance System ◽  
Healthy Aging ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Online Portal ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Abstract The Centers for Disease Control and Prevention’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) is the world’s largest ongoing health survey, administered in all 50 U.S. states, as well as the District of Columbia and the three U.S. territories, with data collected from more than 400,000 respondents. The BRFSS collects data on cognitive decline and caregiving as well as many health behaviors, annually. In 2015-2017, the 6-item cognitive decline module has been administered in 49 states, DC, and Puerto Rico, while the 9-item caregiving has been administered in 44 states, DC, and Puerto Rico. CDC’s Alzheimer’s Disease and Healthy Aging Program has developed many data for action resources for use by states and other partners to help identify populations and communities most at need. This presentation will describe the series of resources to facilitate data utilization among Tribal Communities, including state and race/ethnicity-specific infographics, topic-specific briefs, and the online portal.

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