Community-Based Healthy Aging Interventions for Older Adults with Arthritis and Multimorbidity.
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SUBMITTER: Zgibor JC
PROVIDER: S-EPMC5967256 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Publications
Community-Based Healthy Aging Interventions for Older Adults with Arthritis and Multimorbidity.
Zgibor Janice C JC Ye Lei L Boudreau Robert M RM Conroy Molly B MB Vander Bilt Joni J Rodgers Elizabeth A EA Schlenk Elizabeth A EA Jacob Mini E ME Brandenstein Jane J Albert Steven M SM Newman Anne B AB
Journal of community health 20170401 2
Examine the impact of programs led by community health workers on health and function in older adults with arthritis and other health conditions. We conducted a cluster-randomized trial of the Arthritis Foundation Exercise Program (AFEP) enhanced with the "10 Keys"™ to Healthy Aging compared with the AFEP program at 54 sites in 462 participants (mean age 73 years, 88 % women, 80 % white). Trained Community health workers delivered the 10-week programs. Outcomes assessed after 6 months included p ...[more]
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Project description:ObjectiveTo identify the efficacy of group-based nutrition interventions to increase healthy eating, reduce nutrition risk, improve nutritional status and improve physical mobility among community-dwelling older adults.DesignSystematic review. Electronic databases MEDLINE, CINAHL, EMBASE, PsycINFO and Sociological Abstracts were searched on July 15, 2020 for studies published in English since January 2010. Study selection, critical appraisal (using the Joanna Briggs Institute's tools) and data extraction were performed in duplicate by two independent reviewers.SettingNutrition interventions delivered to groups in community-based settings were eligible. Studies delivered in acute or long-term care settings were excluded.ParticipantsCommunity-dwelling older adults aged 55+ years. Studies targeting specific disease populations or promoting weight loss were excluded.ResultsThirty-one experimental and quasi-experimental studies with generally unclear to high risk of bias were included. Interventions included nutrition education with behaviour change techniques (BCT) (e.g. goal setting, interactive cooking demonstrations) (n 21), didactic nutrition education (n 4), interactive nutrition education (n 2), food access (n 2) and nutrition education with BCT and food access (n 2). Group-based nutrition education with BCT demonstrated the most promise in improving food and fluid intake, nutritional status and healthy eating knowledge compared with baseline or control. The impact on mobility outcomes was unclear.ConclusionsGroup-based nutrition education with BCT demonstrated the most promise for improving healthy eating among community-dwelling older adults. Our findings should be interpreted with caution related to generally low certainty, unclear to high risk of bias and high heterogeneity across interventions and outcomes. Higher quality research in group-based nutrition education for older adults is needed.
| S-EPMC9991860 | biostudies-literature
Project description:BackgroundFrailty and multimorbidity are independent prognostic factors for mortality, but their interaction has not been fully explored. We investigated the importance of multimorbidity patterns in older adults with the same level of frailty phenotype.MethodsIn a cohort of 7,197 community-dwelling adults aged 65 years and older, physical frailty status (robust, pre-frail, frail) was defined using shrinking, exhaustion, inactivity, slowness, and weakness. Latent class analysis was used to identify individuals with multimorbidity patterns based on 10 self-reported chronic conditions. We estimated hazard ratios (HR) and incidence rate differences (IRDs) for mortality comparing multimorbidity patterns within each frailty state.ResultsFive multimorbidity classes were identified: minimal disease (24.7%), cardiovascular disease (29.0%), osteoarticular disease (27.3%), neuropsychiatric disease (8.9%), and high multisystem morbidity (10.0%). Within each frailty state, the mortality rate per 1,000 person-years over 4 years was greatest in the neuropsychiatric class and lowest in the minimal disease class: robust (56.3 vs 15.7; HR, 2.11 [95% CI: 1.05, 4.21]; IRD, 24.1 [95% CI: -11.2, 59.3]), pre-frail (85.3 vs 40.4; HR, 1.74 [95% CI: 1.28, 2.37]; IRD, 27.1 [95% CI: 7.6, 46.7]), and frail (218.1 vs 96.4; HR, 2.05 [95% CI: 1.36, 3.10]; IRD, 108.4 [95% CI: 65.0, 151.9]). Although HRs did not vary widely by frailty, the excess number of deaths, as reflected by IRDs, increased with greater frailty level.ConclusionsConsidering both multimorbidity patterns and frailty is important for identifying older adults at greater risk of mortality. Of the five patterns identified, the neuropsychiatric class was associated with lower survival across all frailty levels.
| S-EPMC6625582 | biostudies-literature
Project description:BackgroundTo compare the prevalence of healthy aging among adults age 70 and older from 5 European countries recruited for the DO-HEALTH clinical trial. Participants were selected for absence of prior major health events.MethodsCross-sectional analysis of DO-HEALTH baseline data. All 2,157 participants (mean age 74.9, SD 4.4; 61.7% women) were included and 2,123 had data for all domains of the healthy aging status (HA) definition. HA was assessed based on the Nurses` Health Study (NHS) definition requiring four domains: no major chronic diseases, no disabilities, no cognitive impairment (Montreal Cognitive Assessment, MoCA ≥25), no mental health limitation (GDS-5 <2, and no diagnosis of depression). Association between HA and age, BMI, gender, and physical function (sit-to-stand, gait speed, grip strength) was assessed by multivariate logistic regression analyses adjusting for center.ResultsOverall, 41.8% of DO-HEALTH participants were healthy agers with significant variability by country: Austria (Innsbruck) 58.3%, Switzerland (Zurich, Basel, Geneva) 51.2%, Germany (Berlin) 37.6%, France (Toulouse) 36.7% and Portugal (Coimbra) 8.8% (p <0.0001). Differences in prevalence by country persisted after adjustment for age. In the multivariate model, younger age (OR = 0.95, 95% CI 0.93 to 0.98), female gender (OR = 1.36, 95% CI 1.03 to 1.81), lower BMI (OR = 0.94, 95% CI 0.91 to 0.96), faster gait speed (OR = 4.70, 95% CI 2.68 to 8.25) and faster performance in sit-to-stand test (OR = 0.90, 95% CI 0.87 to 0.93) were independently and significantly associated with HA.ConclusionsDespite the same inclusion and exclusion criteria preselecting relatively healthy adults age 70 years and older, HA prevalence in DO-HEALTH varied significantly between countries and was highest in participants from Austria and Switzerland, lowest in participants from Portugal. Independent of country, younger age, female gender, lower BMI and better physical function were associated with HA.Trial registrationDO-HEALTH was registered under the protocol NCT01745263 at the International Trials Registry ( clinicaltrials.gov ), and under the protocol number 2012-001249-41 at the Registration at the European Community Clinical Trial System (EudraCT).
| S-EPMC8889763 | biostudies-literature
Project description:Backgroundthe aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults.Methodswe used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses.Resultssix multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59-5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13-4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25-3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59-14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45-4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05-3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years.Conclusionswe found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty.
| S-EPMC8581386 | biostudies-literature
Project description:BackgroundThe healthy aging index (HAI) was developed as a marker of health in multiple systems that can identify individuals who age most successfully.MethodsWe calculated an HAI in 934 Framingham Offspring Study participants aged 60 or older at baseline. Heart rate and C-reactive protein (CRP) were added in modified versions of the HAI. Cox proportional hazard models were used to quantify the association of the HAI with mortality, cardiovascular disease (CVD), and cancer. We used fully conditional specification to multiply impute missing values for HAI components, increasing the sample size by 44%.ResultsOver 10 years of follow-up, there were 138 deaths, 103 incident cases of CVD, and 138 incident cases of cancer. In models adjusted for age, sex, and behavioral risk factors, the HAI was associated with mortality (hazard ratio [HR] per unit of HAI 1.24, 95% confidence interval [CI] 1.13-1.36) and with CVD (HR 1.27, 95% CI 1.13-1.42), but not with cancer (HR 1.01, 95% CI 0.91-1.11) in observed (non-missing) data. In multivariable models further adjusting for prevalent diseases, results were slightly attenuated. When including heart rate and CRP, a modified HAI gave stronger associations. Results with imputed data are similar to results from complete case analyses.ConclusionsIn our large community-based sample, the HAI is a strong predictor of mortality and CVD. Other factors that are strongly associated with mortality, such as heart rate and CRP can improve the ability of the HAI to identify the healthiest older adults.
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Project description:BackgroundWith the aging of the population and rising rates of chronic diseases, older adults need support if they are to adopt healthy lifestyles. Web-based interventions should be considered for this purpose, since they are easily accessed and can foster healthy lifestyles among older adults. However, the literature on such interventions discusses a variety of components and effects and provides only 2 syntheses of knowledge on web-based interventions with older adults. These studies focus on populations aged 50 years and older, whereas the components and effects of interventions for a population of older adults (ie, 65 years and older) may differ. In addition, these 2 syntheses examined only quantitative studies, although other types of studies (ie, qualitative) are available and could help advance knowledge in this field. A scoping review is therefore relevant in order to explore the extent of the literature on this subject.ObjectiveThe purpose of the study described by this protocol is to explore the extent of the literature (experimental, quasi-experimental, qualitative, systematic reviews, and grey literature) on the components and effects of web-based interventions as a way to promote healthy lifestyles among older adults.MethodsThe databases MEDLINE, CINAHL, PsycInfo, Web of Science, Cochrane Database of Systematic Review and Joanna Briggs Library will be searched, in addition to the grey literature using Google Scholar and OpenGrey. Studies will be selected for the review by 2 researchers, working independently. The data will be synthesized based on the conceptualization of web-based interventions (ie, behavior change techniques, dispensation modes, and theories). A thematic analysis will be performed to summarize the components of the interventions studied.ResultsThe database search will begin in August 2020 and be completed in October 2020.ConclusionsThis scoping review should highlight web-based interventions designed to promote healthy lifestyles, as well as their components and effects, among people aged 65 years and older. These results could provide important guidance for intervention developers and designers in identifying the components of web-based interventions relevant to older adults and lead to further studies on this topic.International registered report identifier (irrid)PRR1-10.2196/23207.
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Project description:This study was conducted to identify the factors associated with successful aging in older adults based on the ecological system model. Data from the 2017 National Survey of the Living Conditions of Korean Elderly were used. Participants comprised 10,074 older adults. The three principal components in the successful aging model developed by Rowe and Kahn, "absence of disease and disease-related disability," "maintenance of high mental and physical function," and "continued engagement with life," were used to determine successful aging. The collected data were analyzed using descriptive statistics, chi-squared test, t-test, and logistic regression. The study results showed that the correlation factors were age, sex, educational level, economic status, heavy drinking, subjective health status, and health screening in the individual system; living arrangement, satisfaction with spouse, and frequency of contacting family, siblings, and relatives in the family system; and the frequency of contacting neighbors and friends, number of close neighbors and friends, and accessibility of neighborhood facilities in the community system. This study is significant because it confirms that individual characteristics and the environmental systems surrounding older adults should be considered for successful aging; it is necessary to develop and apply healthcare intervention programs that consider both of these aspects.
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Project description:Population aging has led to an increased focus on the environmental context in which we age. While researchers have identified significant health benefits associated with built community features such as housing, transportation and outdoor spaces and buildings, less attention has focused on the correlates of healthy aging and other characteristics via the perspective of community-dwelling older adults. This study utilized cluster analysis to examine health-related subgroups of older adults (n = 598) in an age-friendly community located in the United States, of which nearly half of its residents are age 60 and older. Linear regression was used to associate the health clusters with perceptions of built environmental features and socio-demographics. Four distinct profiles were identified, with the greatest preference for housing and transportation found among those reporting poorer health compared to those reporting excellent health across multi-dimensional healthy aging measures. Perceptions on the importance of built environmental features were also found to vary by age, income and home accessibility status. Findings suggest that older adults' perceptions about built environmental features differ across health and home status as well as age and income, underscoring opportunities for public health action to better reach and engage older adults by life-course trajectories in age-friendly communities.
| S-EPMC7578930 | biostudies-literature
Project description:BackgroundMultimorbidity (≥ 2 chronic diseases) is associated with greater disability and higher treatment burden, as well as difficulty coordinating self-management tasks for adults with complex multimorbidity patterns. Comparatively little work has focused on assessing multimorbidity patterns among patients seeking care in community health centers (CHCs).ObjectiveTo identify and characterize prevalent multimorbidity patterns in a multi-state network of CHCs over a 5-year period.DesignA cohort study of the 2014-2019 ADVANCE multi-state CHC clinical data network. We identified the most prevalent multimorbidity combination patterns and assessed the frequency of patterns throughout a 5-year period as well as the demographic characteristics of patient panels by prevalent patterns.ParticipantsThe study included data from 838,642 patients aged ≥ 45 years who were seen in 337 CHCs across 22 states between 2014 and 2019.Main measuresPrevalent multimorbidity patterns of somatic, mental health, and mental-somatic combinations of 22 chronic diseases based on the U.S. Department of Health and Human Services Multiple Chronic Conditions framework: anxiety, arthritis, asthma, autism, cancer, cardiac arrhythmia, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), congestive heart failure, coronary artery disease, dementia, depression, diabetes, hepatitis, human immunodeficiency virus (HIV), hyperlipidemia, hypertension, osteoporosis, post-traumatic stress disorder (PTSD), schizophrenia, substance use disorder, and stroke.Key resultsMultimorbidity is common among middle-aged and older patients seen in CHCs: 40% have somatic, 6% have mental health, and 24% have mental-somatic multimorbidity patterns. The most frequently occurring pattern across all years is hyperlipidemia-hypertension. The three most frequent patterns are various iterations of hyperlipidemia, hypertension, and diabetes and are consistent in rank of occurrence across all years. CKD-hyperlipidemia-hypertension and anxiety-depression are both more frequent in later study years.ConclusionsCHCs are increasingly seeing more complex multimorbidity patterns over time; these most often involve mental health morbidity and advanced cardiometabolic-renal morbidity.
| S-EPMC9585110 | biostudies-literature