scholarly journals TWELVE-YEAR CLINICAL TRAJECTORIES OF MULTIMORBIDITY IN OLDER ADULTS: A POPULATION-BASED STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S610-S610
Author(s):  
Davide Liborio Vetrano ◽  
Albert Roso-Llorach ◽  
Sergio Fernández ◽  
Concepción Violán ◽  
Graziano Onder ◽  
...  
Keyword(s):  
Older Adults ◽  
Cluster Algorithm ◽  
Population Based ◽  
Sensory Impairment ◽  
Population Based Study ◽  
Disease Clusters ◽  
Disease Patterns ◽  
Neuropsychiatric Diseases ◽  
Study Population ◽  
Over Time

Abstract The scarce knowledge of multimorbidity development hampers the effectiveness of clinical interventions. We aimed to identify multimorbidity clusters, trace their evolution in a cohort of older adults, and detect the clinical trajectories of single individuals as they move among clusters over 12 years. Population-based study including 2931 persons 60+ with ≥2 diseases participating in the SNAC-K study. A fuzzy c-means cluster algorithm was used to group participants by disease patterns at baseline and follow-ups. Migration from one cluster to another was tracked over time, and the association between the clusters and mortality was tested. At baseline 52% of participants were classified into five clinically meaningful disease clusters: psychiatric and respiratory (5%), heart (9%), respiratory and musculoskeletal (16%), cognitive and sensory impairment (10%), and eye diseases and cancer (11%). The remaining 48% of participants (unspecified group) were grouped in any cluster at baseline but greatly contributed to the other clusters at follow-ups. Multimorbidity clusters that included cardiovascular and neuropsychiatric diseases presented a significantly higher mortality risk (odds ratios ranging 1.58–6.00) than the group not part of any clusters. Clusters characterized by cardiovascular and neuropsychiatric diseases included 25% of the study population at baseline and 28% of participants at six years, and they accounted for 51% of deaths at six years and 57% of deaths at twelve years. Multimorbidity clusters and clinical trajectories of older adults with multimorbidity show great dynamism over time. The multimorbidity clusters and trajectories identified in this study may help identifying groups with similar needs and prognosis.

scholarly journals Dual Sensory Impairment in Older Adults Increases the Risk of Mortality: A Population-Based Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e55054 ◽  
Author(s):  
Bamini Gopinath ◽  
Julie Schneider ◽  
Catherine M. McMahon ◽  
George Burlutsky ◽  
Stephen R. Leeder ◽  
...  
Keyword(s):  
Older Adults ◽  
Population Based ◽  
Sensory Impairment ◽  
Population Based Study ◽  
Risk Of Mortality ◽  
Dual Sensory Impairment

scholarly journals The Association of Sensory Impairment With Incident Disability-Related Cessation of Employment in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 216-216
Author(s):  
Ahmed Shakarchi ◽  
Emmanuel Garcia Morales ◽  
Nicholas Reed ◽  
Bonnielin Swenor
Keyword(s):  
Older Adults ◽  
Hearing Aids ◽  
Population Based ◽  
Sensory Impairment ◽  
Loss To Follow Up ◽  
Increased Risk ◽  
Cox Proportional Hazard Regression ◽  
Study Participants ◽  
Adjusted Model

Abstract Sensory impairment (SI) is common among older adults, and it is an increasingly important public health challenge as the population ages. We evaluated the association between SI and incident disability-related cessation of employment in older adults using the population-based Health and Retirement Study. Participants employed in 2006 completed biennial interviews until self-reported incident disability-related cessation of employment. Participants were censored at loss to follow-up, retirement, or 2018. Participants rated their vision and hearing, using eyeglasses or hearing aids if applicable, on a Likert scale (poor, fair, good, very good, excellent). SI was defined as poor or fair ability, and SI was categorized as neither SI (NSI), vision impairment alone (VI), hearing impairment alone (HI), and dual SI (DSI). Cox proportional hazard regression assessed the association between SI and incident disability-related cessation of employment, adjusting for demographic and health covariates. Overall, 4726 participants were included: 421 (8.9%) were with VI, 487 (10.3) with HI, and 203 (4.3%) with DSI. Mean age was 61.0 ± 6.8 years, 2488 (52.6%) were women, and 918 (19.4) were non-White. In the fully adjusted model, incident disability-related cessation of employment over the 12-year follow-up period was higher in VI (Hazard Ratio (HR)=1.30, 95% confidence interval (CI)=0.92, 1.85), HI (HR=1.60, CI=1.16, 2.22), and DSI (HR=2.02, CI=1.38, 2.96). These findings indicate that employed older adults with SI are at increased risk of incident disability-related cessation of employment, and that older adults with DSI are particularly vulnerable. Addressing SI in older adults may lengthen their contribution to the workforce.

Total Cerebral Small Vessel Disease Score and Anthropometric Indices: A Population-Based Study in Older Adults of Amerindian Ancestry

2021 ◽  
pp. 1-4
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera
Keyword(s):  
Older Adults ◽  
Small Vessel Disease ◽  
Brain Magnetic Resonance Imaging ◽  
Population Based ◽  
Cerebral Small Vessel Disease ◽  
The Body ◽  
Small Vessel ◽  
Population Based Study ◽  
Vessel Disease ◽  
Ordinal Logistic Regression Model

A total of 590 older adults of Amerindian ancestry living in rural Ecuador received anthropometric measurements and a brain magnetic resonance imaging to estimate the total cerebral small vessel disease (cSVD) score. A fully adjusted ordinal logistic regression model, with categories of the total cSVD score as the dependent variable, disclosed significant associations between the waist circumference, the waist-to-hip, and the waist-to-height ratios – but not the body mass index (BMI) – and the cSVD burden. Indices of abdominal obesity may better correlate with severity of cSVD than the BMI in Amerindians. Phenotypic characteristics of this population may account for these results.

scholarly journals OP0248 PREMATURE MORTALITY BURDEN FOR SYSTEMIC SCLEROSIS: NATIONWIDE POPULATION-BASED STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 156.1-156
Author(s):  
E. Yen ◽  
D. Singh ◽  
M. Wu ◽  
R. Singh
Keyword(s):  
Rheumatoid Arthritis ◽  
United States ◽  
Disease Burden ◽  
Age Groups ◽  
Premature Mortality ◽  
Population Based ◽  
Age Group ◽  
Population Based Study ◽  
Mortality Burden ◽  
Over Time

Background:Premature mortality is an important way to quantify disease burden. Patients with systemic sclerosis (SSc) can die prematurely of disease, however, the premature mortality burden of SSc is unknown. The years of potential life lost (YPLL), in addition to age-standardized mortality rate (ASMR) in younger ages, can be used as measures of premature death.Objectives:To evaluate the premature mortality burden of SSc by calculating: 1) the proportions of SSc deaths as compared to deaths from all other causes (non-SSc) by age groups over time, 2) ASMR for SSc relative to non-SSc-ASMR by age groups over time, and 3) the YPLL for SSc relative to other autoimmune diseases.Methods:This is a population-based study using a national mortality database of all United States residents from 1968 through 2015, with SSc recorded as the underlying cause of death in 46,798 deaths. First, we calculated the proportions of deaths for SSc and non-SSc by age groups for each of 48 years and performed joinpoint regression trend analysis1to estimate annual percent change (APC) and average APC (AAPC) in the proportion of deaths by age. Second, we calculated ASMR for SSc and non-SSc causes and ratio of SSc-ASMR to non-SSc-ASMR by age groups for each of 48 years, and performed joinpoint analysis to estimate APC and AAPC for these measures (SSc-ASMR, non-SSc-ASMR, and SSc-ASMR/non-SSc-ASMR ratio) by age. Third, to calculate YPLL, each decedent’s age at death from a specific disease was subtracted from an arbitrary age limit of 75 years for years 2000 to 2015. The years of life lost were then added together to yield the total YPLL for each of 13 preselected autoimmune diseases.Results:23.4% of all SSc deaths as compared to 13.5% of non-SSc deaths occurred at <45 years age in 1968 (p<0.001, Chi-square test). In this age group, the proportion of annual deaths decreased more for SSc than for non-SSc causes: from 23.4% in 1968 to 5.7% in 2015 at an AAPC of -2.2% (95% CI, -2.4% to -2.0%) for SSc, and from 13.5% to 6.9% at an AAPC of -1.5% (95% CI, -1.9% to -1.1%) for non-SSc. Thus, in 2015, the proportion of SSc and non-SSc deaths at <45 year age was no longer significantly different. Consistently, SSc-ASMR decreased from 1.0 (95% CI, 0.8 to 1.2) in 1968 to 0.4 (95% CI, 0.3 to 0.5) per million persons in 2015, a cumulative decrease of 60% at an AAPC of -1.9% (95% CI, -2.5% to -1.2%) in <45 years old. The ratio of SSc-ASMR to non-SSc-ASMR also decreased in this age group (cumulative -20%, AAPC -0.3%). In <45 years old, the YPLL for SSc was 65.2 thousand years as compared to 43.2 thousand years for rheumatoid arthritis, 18.1 thousand years for dermatomyositis,146.8 thousand years for myocarditis, and 241 thousand years for type 1 diabetes.Conclusion:Mortality at younger ages (<45 years) has decreased at a higher pace for SSc than from all other causes in the United States over a 48-year period. However, SSc accounted for more years of potential life lost than rheumatoid arthritis and dermatomyositis combined. These data warrant further studies on SSc disease burden, which can be used to develop and prioritize public health programs, assess performance of changes in treatment, identify high-risk populations, and set research priorities and funding.References:[1]Yen EY….Singh RR. Ann Int Med 2017;167:777-785.Disclosure of Interests:None declared

Sexual Health and Function in Later Life: A Population-Based Study of 606 Older Adults with a Partner

2015 ◽  
Vol 23 (3) ◽  
pp. 227-233 ◽  
Author(s):  
Vicki Wang ◽  
Colin A. Depp ◽  
Jennifer Ceglowski ◽  
Wesley K. Thompson ◽  
David Rock ◽  
...  
Keyword(s):  
Older Adults ◽  
Sexual Health ◽  
Later Life ◽  
Population Based ◽  
Population Based Study ◽  
And Function
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