scholarly journals Estimating Dementia from Self-Reports of Diagnoses Among Adults Aged 65 and Over: United States, 2019

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 750-750
Author(s):  
Ellen Kramarow

Abstract Prior research shows that, overall, about 10% of the population aged 65 and over in the U.S. has dementia. Estimating the prevalence of dementia from nationally representative surveys can be accomplished by asking respondents about a diagnosis, by administering a cognitive assessment, or, if available, by examining linked medical claims data. In 2019 for the first time, the National Health Interview Survey (NHIS) added “dementia, including Alzheimer’s disease” to the questions asking about doctor-diagnosed health conditions. Although estimates derived from doctor-diagnosed questions usually underestimate the true prevalence of a condition, and estimating dementia from self-reports presents additional challenges, they are still useful for many surveillance and research objectives. Early diagnosis of dementia is encouraged to allow patients and their families to plan for future needs. The objective of this research is to describe the noninstitutionalized population aged 65 and over who have a dementia diagnosis, by selected socio-demographic, health, and healthcare utilization characteristics. Point estimates, standard errors, and 95% confidence intervals for percentages are calculated using NHIS adult sample weights and adjusted for the complex sample design of NHIS. Preliminary analyses show that, overall, 4% of the 65 and over noninstitutionalized population has a diagnosis of dementia. About 8% of respondents with less than a high school education reported a dementia diagnosis compared with 2% of those with more than a high school education. Those with a dementia diagnosis were more likely to report depression than those without a dementia diagnosis (44% vs. 14%).

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Kalubi ◽  
Z Tchouaga ◽  
A Ghenadenik ◽  
J O'Loughlin ◽  
K L Frohlich

Abstract Background Tobacco use accounts for half the difference in life expectancy across groups of low and high socioeconomic status. The objective was to assess whether social inequalities in smoking in Canada-born young adults are also apparent among same-age immigrants, a group often viewed as disadvantaged and vulnerable to multiple health issues. Methods Data were drawn from the Interdisciplinary Study of Inequalities in Smoking, a longitudinal investigation of social inequalities in smoking in Montreal, Canada. The sample included 2,077 young adults age 18-25 (56.6% female; 18.9% immigrants). Immigrants had been in Canada 11.6 (SD 6.4) years on average. The association between level of education and current smoking was examined separately in immigrants and non-immigrants in multivariate logistic regression analyses controlling for covariates. Results Twenty percent of immigrants were current smokers compared to 24% of non-immigrants. In immigrants, relative to those who were university-educated, the adjusted odds ratio (OR) (95% confidence interval) for current smoking was 1.2 (0.6, 2.3) among those with pre-university or vocational training, and 1.5 (0.7, 2.9) among those with high school education only. In non-immigrants, the adjusted ORs were 1.9 (1.4, 2.5) among those with pre-university or vocational training and 4.0 (2.9, 5.5) among those with high school education. Conclusions Despite a mean of over 10 years in Canada, young adults who immigrated to Canada did not manifest the strong social gradient in smoking apparent in non-immigrants. Identification of factors that protect immigrants from manifesting marked social inequalities in smoking could inform the development of smoking preventive intervention sensitive to social inequalities in smoking. Key messages A social gradient in smoking apparent in Canada-born young adults was not observed in same-age immigrants. Factors that protect immigrants against social inequalities in smoking should be identified.


Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3262
Author(s):  
Mark M. Aloysius ◽  
Hemant Goyal ◽  
Niraj J. Shah ◽  
Kumar Pallav ◽  
Nimy John ◽  
...  

Introduction: We aimed to assess the impact of socio-economic determinants of health (SEDH) on survival disparities within and between the ethnic groups of young-onset (<50 years age) colorectal adenocarcinoma patients. Patients and Methods: Surveillance, epidemiology, and end results (SEER) registry was used to identify colorectal adenocarcinoma patients aged between 25–49 years from 2012 and 2016. Survival analysis was performed using the Kaplan–Meir method. Cox proportional hazards model was used to determine the hazard effect of SEDH. American community survey (ACS) data 2012–2016 were used to analyze the impact of high school education, immigration status, poverty, household income, employment, marital status, and insurance type. Results: A total of 17,145 young-onset colorectal adenocarcinoma patients were studied. Hispanic (H) = 2874, Non-Hispanic American Indian/Alaskan Native (NHAIAN) = 164, Non-Hispanic Asian Pacific Islander (NHAPI) = 1676, Non-Hispanic black (NHB) = 2305, Non-Hispanic white (NHW) = 10,126. Overall cancer-specific survival was, at 5 years, 69 m. NHB (65.58 m) and NHAIAN (65.67 m) experienced worse survival compared with NHW (70.11 m), NHAPI (68.7), and H (68.31). High school education conferred improved cancer-specific survival significantly with NHAPI, NHB, and NHW but not with H and NHAIAN. Poverty lowered and high school education improved cancer-specific survival (CSS) in NHB, NHW, and NHAPI. Unemployment was associated with lowered CSS in H and NAPI. Lower income below the median negatively impacted survival among H, NHAPI NHB, and NHW. Recent immigration within the last 12 months lowered CSS survival in NHW. Commercial health insurance compared with government insurance conferred improved CSS in all groups. Conclusions: Survival disparities were found among all races with young-onset colorectal adenocarcinoma. The pattern of SEDH influencing survival was unique to each race. Overall higher income levels, high school education, private insurance, and marital status appeared to be independent factors conferring favorable survival found on multivariate analysis.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 25-25
Author(s):  
Xiao Xu ◽  
Jersey Liang ◽  
BoRin Kim ◽  
James Raymo ◽  
Mary Beth Ofstedal

Abstract Existing literature on childlessness among middle-aged and older Americans is sparse, and measuring childlessness is not straightforward for those with complex family histories. To address this knowledge gap, we examined data on 19,929 respondents age ≥50 from the 2016 Health and Retirement Study. All analyses accounted for complex sample design to generate nationally representative estimates. The proportion of respondents without children differed significantly depending on how “childless” was defined: 1) 14.9% (95% confidence interval [CI]: 13.9-15.9%) having no biological children, versus 2) 10.4% (95% CI: 9.5-11.3%) having no children/step-children that were living and in-contact. When measured based on absence of biological children, the prevalence of childlessness was higher in younger cohorts (17.7%, 13.2%, and 9.0% for age 50-64, 65-74, and ≥75 years, respectively, p&lt;0.001) and among more educated individuals (17.4%, 12.3%, and 9.6% for more than high school, high school, and less than high school education, respectively, p&lt;0.001). The prevalence of childlessness was also higher among men (16.7%) than women (13.2%) (p&lt;0.001) and among non-Hispanic whites (16.0%) than Hispanics (9.8%) (p&lt;0.001). Similar patterns, but lower prevalence, were observed when measuring childlessness based on absence of children/step-children that were living and in-contact. Although non-Hispanic whites (16.0%) were more likely than non-Hispanic blacks (13.0%) to have no biological children (p=0.007), a similar proportion of them had no children/step-children that were living and in-contact (10.8% versus 10.6%, p=0.06). Given fertility decline and growing family complexity, these findings help inform the structure of social support and long-term care needs of middle-aged and older Americans.


2018 ◽  
Vol 10 (11) ◽  
pp. 3945
Author(s):  
Jianxin Guo ◽  
Songqing Jin ◽  
Lei Chen ◽  
Jichun Zhao

Information communication technology (ICT) has changed the traditional agricultural extension service mode worldwide. This paper examines the effects of the Rural Distance Education Project (RDEP) on the household income, agricultural productivity, and off-farm employment of farmers in peri-urban areas in Beijing. Using the survey data of 783 randomly selected farm households from 54 villages in three Beijing peri-urban districts in 2014, and the propensity score matching method (PSM), we find that the RDEP has a significant and positive effect on agricultural productivity and input use. Meanwhile, the program’s effects are heterogeneous across districts and households. For example, the RDEP has significant impacts on several outcome indicators, such as agricultural labor productivity (at a 5% level of significance), agricultural land productivity (at a 10% level), and input use intensity (at a 1% level) in Tongzhou (an agriculturally more important district, with a more intensive RDEP usage), but none of these effects is significant in Pinggu district. Furthermore, the RDEP is found to have bigger, and statistically more significant effects, for households with junior high school education than for those with either lower or higher than junior high school education. Furthermore, the RDEP is more effective for households with more assets than those with fewer assets. These results point toward the importance of using a rural distance education program as an effective extension service, and the need to take community and individual characteristics into account in the implementation and design of future programs.


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