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Diabetes, hyperglycemia, and the burden of functional disability among older adults in a community-based study.

ABSTRACT: BACKGROUND:There is a need for continued surveillance of diabetes-related functional disability. In the present study, we examined associations between diabetes, hyperglycemia, and the burden of functional disability in a community-based population. METHODS:A cross-sectional analysis was conducted of 5035 participants who attended Visit 5 (2011-13) of the Atherosclerosis Risk in Communities study. Functional disability was dichotomously defined by any self-reported difficulty performing 12 tasks essential to independent living grouped into four functional domains. Associations of diagnosed diabetes (via self-report) and undiagnosed diabetes and prediabetes (via HbA1c) with functional disability were evaluated using Poisson regression. RESULTS:Participants had a mean age of 75?years, 42 % were male, 22 % were Black, and 31 % had diagnosed diabetes. Those with diagnosed diabetes had a significantly greater burden of functional disability than those without diabetes, even after adjustment for demographics, health behaviors, and comorbidities: prevalence ratios (95 % confidence intervals) were 1.24 (1.15, 1.34) for lower extremity mobility, 1.14 (1.07, 1.21) for general physical activities, 1.33 (1.16, 1.52) for instrumental activities of daily living (ADL), and 1.46 (1.24, 1.73) for ADL (all P?< 0.05). The associations of undiagnosed diabetes and prediabetes with disability were not statistically significant (all P?> 0.05). CONCLUSIONS:Among older adults, the burden of functional disability associated with diabetes was not entirely explained by known risk factors, including comorbidities. Hyperglycemia below the threshold for the diagnosis of diabetes was not associated with disability. Research into effective strategies for the prevention of functional disability among older adults with diabetes is needed.

SUBMITTER: Godino JG

PROVIDER: S-EPMC4975681 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Diabetes, hyperglycemia, and the burden of functional disability among older adults in a community-based study.

Godino Job G JG Appel Lawrence J LJ Gross Alden L AL Schrack Jennifer A JA Parrinello Christina M CM Kalyani Rita R RR Windham Beverly Gwen BG Pankow James S JS Kritchevsky Stephen B SB Bandeen-Roche Karen K Selvin Elizabeth E

Journal of diabetes 20160323 1

<h4>Background</h4>There is a need for continued surveillance of diabetes-related functional disability. In the present study, we examined associations between diabetes, hyperglycemia, and the burden of functional disability in a community-based population.<h4>Methods</h4>A cross-sectional analysis was conducted of 5035 participants who attended Visit 5 (2011-13) of the Atherosclerosis Risk in Communities study. Functional disability was dichotomously defined by any self-reported difficulty perf ...[more]

PMID: 26847713

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Project description:BackgroundFunctional disability is an emerging public health concern that has an impact on the health and quality of life of older adults. If functional disability recognized early, it will be possible to support them to live independently. Although functional disability is extensively researched in developed countries; studies are scarce in Sub-Saharan Africa, particularly Ethiopia. Therefore, this study aims to assess the prevalence and associated factors of functional disability in activities of daily living among older adults in Gondar town, Ethiopia.MethodsA community-based cross-sectional study was conducted from April to June 2022. Multistage sampling techniques were used to recruit 607 older adults aged 60 years and older. A pre-tested interview-administered questionnaire was used to assess functional disability in basic activities of daily living and instrumental activities of daily living using the Katz Index and Lawton scale, respectively. Bivariate and multivariable logistic regression models were employed. The findings of the study were presented by descriptive statistics and an adjusted odds ratio with 95% CI was used to determine statistical significance.ResultsThe prevalence of functional disability in basic activities of daily living and instrumental activities of daily living among older adults was 34.5% and 54.4, respectively. Age 80 and older [AOR = 2.41, CI (1.41-4.10)], low-income status [AOR = 2.58, CI (1.50-4.46)], multimorbidity [AOR = 2.97, CI (1.92-4.60)], depression [AOR = 2.97, CI (1.63-5.40)], and low level of physical activity [AOR = 3.31, CI (2.11-5.17)] were associated with basic activities of daily living. Age 80 and older (AOR = 3.11, CI = 1.94-5.00), multimorbidity [AOR = 3.06, CI (2.10-4.46)], and depression [AOR = 3.52, CI (2.10-4.46)] were associated with instrumental activities of daily living.Conclusion and recommendationsOur study finding revealed that functional disability affects a large number of older adult residents. The age group of 80 years and older, low-income status, a low level of physical activity, multimorbidity, and depression were associated with basic and instrumental activities of daily living. Therefore, health interventions designed to increase older adults' level of physical activity, management of multimorbidity, and depression, more care for elders 80 years and older, and supporting older adults financially for health insurance coverage could be an important strategy to reduce functional disability among older adults.

Project description:BackgroundIt is important to identify older adults at high risk of functional disability and to take preventive measures for them at an early stage. To our knowledge, there are no studies that predict functional disability among community-dwelling older adults using machine learning algorithms.ObjectiveTo construct a model that can predict functional disability over 5 years using basic machine learning algorithms.DesignA cohort study with a mean follow-up of 5.4 years.ParticipantsWe used data from the Japan Gerontological Evaluation Study, which involved 73,262 people aged ≥ 65 years who were not certified as requiring long-term care. The baseline survey was conducted in 2013 in 19 municipalities.Main measuresWe defined the onset of functional disability as the new certification of needing long-term care that was ascertained by linking participants to public registries of long-term care insurance. All 183 candidate predictors were measured by self-report questionnaires.Key resultsDuring the study period, 16,361 (22.3%) participants experienced the onset of functional disability. Among machine learning-based models, ridge regression (C statistic = 0.818) and gradient boosting (0.817) effectively predicted functional disability. In both models, we identified age, self-rated health, variables related to falls and posture stabilization, and diagnoses of Parkinson's disease and dementia as important features. Additionally, the ridge regression model identified the household characteristics such as the number of members, income, and receiving public assistance as important predictors, while the gradient boosting model selected moderate physical activity and driving. Based on the ridge regression model, we developed a simplified risk score for functional disability, and it also indicated good performance at the cut-off of 6/7 points.ConclusionsMachine learning-based models showed effective performance prediction over 5 years. Our findings suggest that measuring and adding the variables identified as important features can improve the prediction of functional disability.

Project description:ObjectivesFunctional ability, or the ability to live actively in older age, is essential for healthy ageing. This study assessed the association between the five types of lower urinary tract symptoms (LUTS) and functional ability among community-dwelling older adults (≥65 years old).DesignA cross-sectional study.SettingCommunity-dwelling older adults (≥65 years old) randomly selected from the basic resident register of Kashiwa city as part of the Kashiwa study.ParticipantsThe study included 916 community-dwelling older adults (481 male participants) in Japan.Outcome measuresA self-administered questionnaire was used to collect data regarding LUTS, which included frequency, nocturia, urgency, urinary incontinence and overactive bladder (OAB). Functional ability was measured using the Japan Science and Technology Agency Index of Competence. Sex-stratified logistic regression analyses were conducted, adjusting age, obesity, alcohol consumption, polypharmacy and comorbidities.ResultsMale participants experienced symptoms of frequency, nocturia, urgency, urinary incontinence and OAB at rates of 68.0%, 89.0%, 16.0%, 3.7% and 4.3%, respectively. Female participants experienced these symptoms at rates of 68.3%, 80.0%, 11.0%, 7.4% and 8.5%, respectively. Among male participants, lower functional ability was only associated with nocturia (≥3 times/night) (adjusted OR (AOR): 1.71, 95% CI 1.05 to 2.79). Contrarily, lower functional ability among female participants was significantly associated with frequency (AOR: 1.61, 95% CI 1.04 to 2.49), urgency (AOR: 2.06, 95% CI 1.08 to 3.95) and OAB (AOR: 2.43, 95% CI 1.15 to 5.11).ConclusionThe different associations between LUTS and functional ability by sex might be related to differences in the effect of comorbidities and physical fatigue. Our results help clarify the multifaceted effects of LUTS in old age, the need for early detection and treatment of LUTS, and the importance of maintaining functional ability.

Project description:BACKGROUND:The Global Burden of Diseases (GBD) 2017 database permits an up-to-date evaluation of the frequency and burden of diabetes at the state level in Brazil and by type of diabetes. The objective of this report is to describe, using these updated GBD data, the current and projected future burden of diabetes and hyperglycemia in Brazil, as well as its variation over time and space. METHODS:We derived all estimates using the GBD 2016 and 2017 databases to characterize disease burden related to diabetes and hyperglycemia in Brazil, from 1990 to 2040, using standard GBD methodologies. RESULTS:The overall estimated prevalence of diabetes in Brazil in 2017 was 4.4% (95%UI 4.0-4.9%), with 4.0% of those with diabetes being identified as having type 1 disease. While the crude prevalence of type 1 disease has remained relatively stable from 1990, type 2 prevalence has increased 30% for males and 26% for females. In 2017, approximately 3.3% of all disability-adjusted life years lost were due to diabetes and 5.9% to hyperglycemia. Diabetes prevalence and mortality were highest in the Northeast region and growing fastest in the North, Northeast, and Center-West regions. Over this period, despite a slight decrease in age-standardized incidence of type 2 diabetes, crude overall burden due to hyperglycemia has increased 19%, with population aging being a main cause for this rise. Cardiovascular diseases, responsible for 38.3% of this burden in 1990, caused only 25.9% of it in 2017, with premature mortality attributed directly to diabetes causing 31.6% of the 2017 burden. Future projections suggest that the diabetes mortality burden will increase 144% by 2040, more than twice the expected increase in crude disease burden overall (54%). By 2040, diabetes is projected to be Brazil's third leading cause of death and hyperglycemia its third leading risk factor, in terms of deaths. CONCLUSIONS:The disease burden in Brazil attributable to diabetes and hyperglycemia, already large, is predicted by GBD estimates to more than double to 2040. Strong actions by the Ministry of Health are necessary to counterbalance the major deleterious effects of population aging.

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Diabetes, hyperglycemia, and the burden of functional disability among older adults in a community-based study.

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Diabetes, hyperglycemia, and the burden of functional disability among older adults in a community-based study.

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