Health Status Of Older Adults Research Articles

Glucose Targets Using Continuous Glucose Monitoring Metrics in Older Adults With Diabetes: Are We There Yet?

The older population is increasing worldwide and up to 30% of older adults have diabetes. Older adults with diabetes are at risk of glucose-related acute and chronic complications. Recently, mostly in type 1 diabetes (T1D), continuous glucose monitoring (CGM) devices have proven beneficial in improving time in range (TIR glucose, 70-180 mg/dL or glucose 3.9-10 mmol/L), glycated hemoglobin (HbA1c), and in lowering hypoglycemia (time below range [TBR] glucose <70 mg/dL or glucose <3.9 mmol/L). The international consensus group formulated CGM glycemic targets relating to older adults with diabetes based on very limited data. Their recommendations, based on expert opinion, were aimed at mitigating hypoglycemia in all older adults. However, older adults with diabetes are a heterogeneous group, ranging from healthy to very complex frail individuals based on chronological, biological, and functional aging. Recent clinical trial and real-world data, mostly from healthy older adults with T1D, demonstrated that older adults often achieve CGM targets, including TIR recommended for non-vulnerable groups, but less often meet the recommended TBR <1%. Existing data also support that hypoglycemia avoidance may be more strongly related to minimization of glucose variability (coefficient of variation [CV]) rather than lower TIR. Very limited data are available for glucose goals in older adults adjusted for the complexity of their health status. Herein, we review the bidirectional associations between glucose and health status in older adults with diabetes; use of diabetes technologies, and their impact on glucose control; discuss current guidelines; and propose a new set of CGM targets for older adults with insulin-treated diabetes that are individualized for health and living status.

The roles of health literacy and social support in the association between smartphone ownership and frailty in older adults: a moderated mediation model

BackgroundUnderstanding the role of smartphones to promote the health status of older adults is important in the digital society. Little is known about the effects of having smartphones on physical frailty despite its positive effect on the well-being of older adults. This study aimed to explore the association between smartphone ownership and frailty in community-dwelling older adults and its underlying mechanism.MethodsWe used data from the Korean Frailty and Aging Cohort Study and analyzed 2,469 older adults aged 72–86 years. Frailty, health literacy, and social support were assessed by Fried’s frailty phenotype, the Behavioral Risk Factor Surveillance System health literacy module, and the Enhancing Recovery in Coronary Heart Disease (ENRICHD) Social Support Instrument, respectively. The mediation model and moderated mediation model were estimated, where the mediator was health literacy and the moderator was social support, to explore the relationship between smartphone ownership and frailty.ResultsOf our study participants, 58.9% owned smartphones, and 10.9% were classified as frail. Smartphone ownership was negatively associated with frailty (β = −0.623, p < 0.001). Health literacy mediated the relationship between smartphone ownership and frailty (β = −0.154, boot confidence interval [CI] = − 0.222, − 0.096), and social support moderated the mediation effect (β = −0.010, Boot CI = − 0.016, − 0.004).ConclusionsOwning smartphones among older adults could reduce the risk of frailty. Promoting health literacy and social support among older adults with smartphones would be effective to prevent frailty.

Current Situation of Mental Health of Older Adults: A Case from Henan Province, China

Background: The population ageing process has changed the world’s population composition. China's population is ageing rapidly, and many researchers have focused on the psychological problems of older adults. Objective: To investigate the current state of mental health of older adults in China, understand the current level of mental health of older adults in China and its influencing factors, provide a reference for the formulation of mental health intervention measures, and scientifically protect the mental health of older adults. Methods: Convenience sampling was used to select 196 older people aged 60 and above in the Central Plains of China as the research objects. The questionnaire survey method was used to investigate the mental health status of older adults. Results: Among the 196 older people, 145 had no psychological symptoms, accounting for 74.0%; 45 had mild psychological symptoms, accounting for 23.0%; 4 had moderate psychological symptoms, accounting for 2.0%; 2 had severe psychological symptoms, accounting for 1.0%. There were statistically significant differences in the mental health scores among older adults with different ages, marital statuses, number of chronic diseases, and economic income (P&lt;0.05). Conclusion: The mental health status of older adults in China is average. Age, marital status, number of chronic diseases, and income level impact the mental health of older adults. The whole society should pay attention to the mental health ofolder adults.

Long-term effects of a 6-week power-based resistance training and fast walking interval training program on physical function, muscle power, disability and frailty in pre-frail and frail older adults.

Concurrent training has been shown to be a beneficial approach to improve overall health status in older adults. However, little is known about the adaptations of this type of training in the long term (i.e., after cessation of exercise), even less in older people affected by frailty syndrome.Therefore, this study aimed i) to assess the effects of a 6-week concurrent training program composed of power-oriented resistance training (RT) and fast walking interval training (FWIT) on physical function, muscle power, disability in activities of daily living and frailty in pre-frail and frail older people, and ii) to assess the effects of a 6-month detraining period on these outcomes. A total of 59 pre-frail and frail older adults (>75 years old; Frailty Phenotype >1) were allocated into intervention (INT; n=32; 81.8 years; 21 women) or control (CON; n=27; 82.5 years; 19 women) groups. Primary outcomes of this study were Short Physical Performance Battery (SPPB), relative sit-to-stand (STS) power, Barthel index, Lawton scale and Frailty Phenotype. Assessments were performed at baseline (PRE), after the concurrent training programme (POST) and after 6 months of follow-up (DET) in both groups. Mixed model repeated measures ANOVA with Bonferroni's post hoc tests was used. Immediately after the intervention (∆= POST-PRE), INT improved SPPB (∆=3.0 points; p<0.001), relative STS power (∆=0.87 W·kg-1; p<0.001) and reduced their frailty levels (∆=-1.42 criteria; p<0.001), while no changes were observed in CON. After 6 months of detraining (∆= DET-PRE), INT showed higher SPPB (∆=2.2 points; p<0.001), higher relative STS power (∆=0.73 W·kg-1; p<0.001) and lower frailty (∆=-1.24 criteria; p<0.001) values than those reported at baseline, which were significantly different than those reported by CON. Both, Barthel index and Lawton scale values were not modified during the study in either group. The 6-week concurrent training program improved physical function, muscle power and reduced frailty in pre-frail and frail older people and these improvements were maintained above baseline levels after 6 months of detraining. However, due to the individual variability found, future studies of long-term responders vs. non-responders in frail populations are required.

Agreement in the Postural Assessment of Older Adults by Physical Therapists Using Clinical and Imaging Methods.

Postural assessment is one of the indicators of health status in older adults. Since the number of older adults is on the rise, it is essential to assess simpler methods and automated ones in the future. Therefore, we focused on a visual method (imaging method). The purpose of this study is to determine the degree of agreement between the imaging method and the palpation and visual methods (clinical method). In addition, the influence of differences in the information content of the sagittal plane images on the assessment was also investigated. In this experiment, 28 sagittal photographs of older adults whose posture had already been assessed using the clinical method were used. Furthermore, based on these photographs, 28 gray and silhouette images (G and S images) were generated, respectively. The G and S images were assessed by 28 physical therapists (PTs) using the imaging method. The assessment was based on the Kendall classification, with one of four categories selected for each image: ideal, kyphosis lordosis, sway back, and flat back. Cross-tabulation matrices of the assessments using the clinical method and imaging method were created. In this table, four categories and two categories of ideal and non-ideal (KL, SB, and FB) were created. The agreement was evaluated using the prevalence-adjusted bias-adjusted kappa (PABAK). In addition, sensitivity and specificity were calculated to confirm the reliability. When comparing the clinical and imaging methods in the four posture categories, the PABAK values were -0.14 and -0.29 for the S and G images, respectively. In the case of the two categories, the PABAK values were 0.57 and 0.5 for the S and G images, respectively. The sensitivity and specificity were 86% and 57% for the S images and 76% and 71% for the G images, respectively. The four categories show that the imaging method is difficult to assess regardless of the image processing. However, in the case of the two categories, the same assessment of the clinical method applied to the imaging method for both the S and G images. Therefore, no differences in image processing were observed, suggesting that PTs can identify posture using the visual method.

Investigating the prevalence and correlates of depression and stress in older adults: A nation-wide survey in Libya

This cross-sectional study aims to examine the depressive symptoms and stress among older adults. A convenience sample (n = 547) of older adults aged 60+ years was recruited from various regions in Libya. The WHO-5 and PSS-10 were used to assess depression and stress levels. The level of depressive symptoms and stress were 68 % and 71.5 %, respectively, with males reported more depression and stress than females (p ˂ 0.05). A combination of stress and family status significantly associated with levels of depression among the participants. This study provides important insights into the psychological health status of older adults in Libya. The high levels of depression and stress, as well as the identified correlates, shed light on the factors influencing mental well-being in this vulnerable population. These findings can serve as a foundation for the development of targeted interventions aimed at promoting the mental health of older adults in Libya.

Analysis of health risk factors for older adults living alone in China and establishment and evaluation of a nomogram prediction model.

To understand the health status of older adults living alone in China and analyze the influencing factors, so as to provide reference for improving the health status of older adults living alone. Based on CGSS data from China General Social Survey (2017), the influencing factors of health status of older adults living alone were analyzed by unconditional Logistic regression, and the R software was used to develop a nomogram for predicting the risk of self-assessed unhealthy adverse outcomes. Gender, annual income, mandarin listening level and participation in medical insurance were the influencing factors of self-rated health of older adults living alone. Age and annual income are the influencing factors of physiological health. Annual income and Internet use were influential factors for mental health. C-Statistic of nomogram prediction model was 0.645. The calibration curve showed that goodness of fit test (χ2 = 58.09, p < 0.001), and the overall prediction ability of the model was good. The health status of older adults living alone in the home-based older adults care is worrying, and it is affected by various factors. We should pay more attention to older adults living alone, improve the ability of listening and distinguishing mandarin and the use of health information platforms for older adults living alone, and further implement medical insurance policies and health services. Announcing the solution to promote healthy home-based care for older adults living alone.

Abstract P327: Examination of Cardiometabolic Health Status, Obesity, and Brain Health in Community-Dwelling Older Adults

Introduction: Mid-life and late-life obesity have been associated with changes in brain structure and function, though the exact nature of this dynamic relationship is not well understood. Purpose: To determine whether associations between measures of obesity and neuroimaging biomarkers are independent of cardiometabolic health status in older adults. Methods: Adults 55 and older were recruited into the Clinical Core of the Wake Forest Alzheimer’s Disease Research Center (ADRC) between 2016 and 2023 and underwent standard evaluation in accordance with the National Alzheimer’s Coordinating Center protocols. Body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) were measured to assess obesity. Cardiometabolic health was determined by the presence of impaired glucose tolerance (IGT) and hypertension (HTN). Brain MRI scans were conducted to assess cerebral blood flow (CBF) in white matter (WM) and gray matter (GM), WM microstructure using neurite orientation dispersion and density imaging (NODDI) of free water (FW), total brain volume (GM+WM), and temporal lobe cortical thickness. Linear regression was used to examine associations between anthropometric and neuroimaging measures, controlling for demographics (age, gender, race, education) in model 1 and demographics plus cardiometabolic health (HTN and IGT) in model 2. Results: A total of 647 Clinical Core participants with anthropometric, MRI, cardiometabolic, and demographic data available were analyzed. Mean age of participants was 70.1±8.2 years, 19% were African American, 48% had adjudicated cognitive impairment (35% mild cognitive impairment, 13% dementia), 76% had HTN, and 69% had IGT. BMI (p&lt;0.001), WC (p&lt;0.001), and WHR (p=0.006) were positively associated with WM CBF in models 1 and 2. BMI (p=0.039) was also positively associated with GM CBF in model 2. All three obesity measures were positively associated with NODDI FW in model 1: BMI (p=0.006), WC (p=0.007), and WHR (p=0.039), and WHR was negatively associated with total brain volume (p=0.043). However, these associations were attenuated after further adjustment. Cortical thickness was not significantly associated with obesity in any model. Conclusion: These results demonstrate that, among community-dwelling older adults, having higher BMI, WHR, and WC is associated with higher WM CBF even after adjusting for demographics, HTN and IGT, suggesting that obesity may be a risk factor for impaired brain perfusion in late life.

The impact of income level on skeletal muscle health in rural Chinese older residents: a study of mediating effects based on dietary knowledge.

China's rural residents have basically solved the problem of subsistence, but due to aging, the prevalence of sarcopenia (abbreviated as sarcopenia) has been increasing year by year, especially the skeletal muscle health of the rural older residents has not been sufficiently paid attention to, so analyses of the impact of income level on the skeletal muscle health of the older people in rural areas of China are of great practical significance. Based on the annual data of the China Health and Nutrition Survey (CHNS) in 2006, 2009, and 2011, we introduced the mediator variable of dietary knowledge and used the Probit model regression, mediation effect model, and instrumental variable regression to assess the skeletal muscle health status of the rural older people in China and explore the mechanism of the influence of the income level on the skeletal muscle health of the rural older residents in China. The primary objectives of this study were to evaluate the impact of income level on the skeletal muscle health status of older adults living in rural areas of China and to investigate the underlying mechanisms. By analyzing the findings of this study, our aim is to establish a correlation between the economic status and skeletal muscle health of older adults in rural communities, as well as elucidate the influence of income level and dietary knowledge on their skeletal muscle health. Through the attainment of these objectives, we hope to provide valuable insights and recommendations for enhancing skeletal muscle health among the rural older population in China. Based on our research findings, it can be inferred that there was a significant association between the financial status of rural older adults and their skeletal muscle health. Additionally, the prevalence of sarcopenia was lower among individuals with higher income levels, and there was a negative correlation between the prevalence of sarcopenia and the level of dietary knowledge among rural older individuals. The knowledge of dietary knowledge level of rural older people plays a mediating role in the income level and the prevalence of sarcopenia. Moreover, with the change in income level and the increase in age, the change in skeletal muscle health status showed obvious heterogeneity, in which the effect on the relatively younger (65-70 years old) samples was greater. Therefore, sustained income growth remains an effective way to improve the skeletal muscle health of older rural residents. At the same time, improving dietary knowledge and dietary quality among the older people is important in preventing a decline in muscle strength and physical function and in preventing the onset of sarcopenia.

Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data.

Geriatric depression and anxiety have been identified as mood disorders commonly associated with the onset of dementia. Currently, the diagnosis of geriatric depression and anxiety relies on self-reported assessments for primary screening purposes, which is uncomfortable for older adults and can be prone to misreporting. When a more precise diagnosis is needed, additional methods such as in-depth interviews or functional magnetic resonance imaging are used. However, these methods can not only be time-consuming and costly but also require systematic and cost-effective approaches. The main objective of this study was to investigate the feasibility of training an end-to-end deep learning (DL) model by directly inputting time-series activity tracking and sleep data obtained from consumer-grade wrist-worn activity trackers to identify comorbid depression and anxiety. To enhance accuracy, the input of the DL model consisted of step counts and sleep stages as time series data, along with minimal depression and anxiety assessment scores as non-time-series data. The basic structure of the DL model was designed to process mixed-input data and perform multi-label-based classification for depression and anxiety. Various DL models, including the convolutional neural network (CNN) and long short-term memory (LSTM), were applied to process the time-series data, and model selection was conducted by comparing the performances of the hyperparameters. This study achieved significant results in the multi-label classification of depression and anxiety, with a Hamming loss score of 0.0946 in the Residual Network (ResNet), by applying a mixed-input DL model based on activity tracking data. The comparison of hyper-parameter performance and the development of various DL models, such as CNN, LSTM, and ResNet contributed to the optimization of time series data processing and achievement of meaningful results. This study can be considered as the first to develop a mixed-input DL model based on activity tracking data for the multi-label identification of late-life depression and anxiety. The findings of the study demonstrate the feasibility and potential of using consumer-grade wrist-worn activity trackers in conjunction with DL models to improve the identification of comorbid mental health conditions in older adults. The study also established a multi-label classification framework for identifying the complex symptoms of depression and anxiety.

Current status and influencing factors of health literacy among older adults in combined medical and nursing care institutions: a cross-sectional study.

Health literacy is linked to the health status of older adults and is a critical component in achieving active aging. This study to characterize the current health literacy status among older adults in combined medical and nursing care institutions, as well as the factors that influenced this status. This cross-sectional study used a convenience sampling method to select 740 older adults who were in 16 combined medical and nursing care institutions in Chengdu, China, from July 2022 to June 2023, using the Health Literacy Management Scale, the Social Support Rating Scale, and the Short Form-36 Health Survey. The results showed a health literacy score of 75.25 ± 12.33, the percentage of older adults with basic health literacy was 6.33%, a social support score of 37.37 ± 6.10, and a health-related quality of life score of 55.34 ± 15.48. Factors influencing health literacy included age, educational level, previous occupation, family size, monthly per capita household income, and health-related quality of life. Health literacy is an essential factor in improving the health status of older adults. Relevant departments should therefore improve health education and health promotion interventions for older adults in combined medical and nursing care institutions to improve health literacy.

Foster care experiences during childhood and health during older age: Evidence from China.

Improving the health of older individuals is the primary approach to dealing with the challenges of an aging population. Experiences during childhood can have a continual influence on individual health conditions. Consequently, understanding whether foster care experiences during childhood influence an individual's health during older age is relevant. Data from the China Health and Retirement Longitudinal Study, 2014, were collected. The influence of foster care experiences during childhood on health during older age was analyzed using the least-squares method. The mediating effects of childhood health status, education opportunities, and nutritional level were analyzed using the Karlson-Holm-Breen (KHB) method. Foster care experience during childhood was associated with reduced self-rated health status during older age due to adverse effects on (a) childhood health status, (b) childhood education opportunities, and (c) childhood nutritional level. The influences of early life factors on the health status of older adults should be analyzed from the perspective of the lifecycle to provide positive interventions for health improvement. The outcomes from such a study could help to improve the health condition of elderly citizens. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Has a High Dose of Vitamin D3 Impacted Health Conditions in Older Adults?-A Systematic Review and Meta-Analysis Focusing on Dose 100,000 IU.

Older adults are prone to vitamin D3 (VD3) deficiency, which may impair their health. A high dose of VD3 (HDVD3 = 100,000 IU) could improve their 25-hydroxyvitamin D3 [25(OH)D] level and health outcomes. However, evidence for such a beneficial effect of HDVD3 in older adults coming from clinical trials is mixed. To review the literature on the efficacy of a single dose of 100,000 IU of VD3 in older people. We searched PubMed/Medline, Science Direct, and NIH's clinical trials registry for clinical studies on the effect of a single high dose of VD3 on various health outcomes in older people. We also performed a meta-analysis using the standardized mean difference to assess the effect of VD3 on its blood level. Due to expected high heterogeneity, its amount (i.e., tau2) was estimated using the DerSimonian-Laird estimator. To estimate tau2, the Q-test for heterogeneity and the I2 statistic were calculated. Search results identify 13 studies that reported diverse health outcomes, such as lung and cardiovascular function, skin cancer progression, intensive care unit mortality, immune system response, and bone density. The meta-analysis showed a significant increase in 25(OH)D blood levels after treatment in 10 studies, with an average standardized mean difference of 2.60 ng/mL (95% CI: 2.07 to 3.13). Their results suggested that a single high dose of VD3 may benefit intensive care unit patients and skin cancer patients in remission. However, evidence for other beneficial health effects of HDVD3 was mixed due to high heterogeneity among studies. A single high dose of VD3 may positively affect some health outcomes in older people, possibly due to its pleiotropic and immunomodulatory effects. However, the evidence needs to be more extensive and consistent, and more rigorous studies are required to confirm the benefits and safety of VD3 high doses in older patients.

Association of Epigenetic Age and Everyday Discrimination With Longitudinal Trajectories of Chronic Health Conditions in Older Adults.

We investigated the strength of the association between baseline epigenetic age, everyday discrimination, and trajectories of chronic health conditions (CHCs) across 3 study waves, among adults 50 years of age and older. We used 2016-2020 data from the Health and Retirement Study (HRS). Data for the PhenoAge and DNAm GrimAge second-generation epigenetic clocks were from the 2016 HRS Venous Blood Study. CHC trajectories were constructed using latent class growth curve models. Multinomial logistic regression models assessed the strength of the association between accelerated epigenetic age, everyday discrimination, and the newly constructed CHC trajectories for participants with complete data (n = 2893). In the fully adjusted model, accelerated PhenoAge (relative risk ratios [RRR] = 2.53, 95% confidence interval [95% CI] = 1.81, 3.55) and DNAm GrimAge (RRR = 2.79, 95% CI = 1.95, 4.00) were associated with classification into the high CHC trajectory class. Racial disparities were evident, with increased risk of classification into the high trajectory class for Black (PhenoAge: RRR = 1.69, 95% CI = 1.07, 2.68) and reduced risk for Hispanic (PhenoAge: RRR = 0.32, 95% CI = 0.16, 0.64; DNAm GrimAge: RRR = 0.34, 95% CI = 0.17, 0.68), relative to White participants. Everyday discrimination was associated with classification into the medium-high (RRR = 1.28, 95% CI = 1.00, 1.64) and high (RRR = 1.52, 95% CI = 1.07, 2.16) trajectory classes in models assessing DNAm GrimAge. More research is needed to better understand the longitudinal health outcomes of accelerated aging and adverse social exposures. Such research may provide insights into vulnerable adults who may need varied welfare supports earlier than the mandated chronological age for access to federal and state resources.

Effectiveness of information and communication technology-based integrated care for older adults: a systematic review and meta-analysis.

Information and communication technology (ICT) is a key factor in advancing the implementation of integrated care for older adults in the context of an aging society and the normalization of epidemics. This systematic review aims to comprehensively evaluate the effectiveness of ICT-based integrated care for older adults to provide input for the construction of intelligent integrated care models suitable for the context of an aging population in China. A systematic review and meta-analysis were conducted using PubMed, Web of Science Core Collection, Scopus, MEDLINE, EBSCO, EMBASE, CINAHL with full text, ProQuest, and Cochrane Library databases, along with the Google Scholar search engine, for papers published between January 1, 2000, and July 25, 2022, to include randomized controlled trials and quasi-experimental studies of ICT-based integrated care for older adults. Two reviewers independently performed literature screening, quality assessment (JBI standardized critical appraisal tool), and data extraction. The results were pooled using a random effects model, and narrative synthesis was used for studies with insufficient outcome data. We included 32 studies (21 interventions) with a total of 30,200 participants (14,289 in the control group and 15,911 in the intervention group). However, the quality of the literature could be improved. The meta-analysis results showed that ICT-based integrated care significantly improved the overall perceived health status of older adults (n=3 studies, MD 1.29 (CI 0.11 to 2.46), no heterogeneity) and reduced the number of emergency department visits (n=11 studies, OR 0.46 (CI 0.25 to 0.86), high heterogeneity) but had no significant effect on improving quality of life, mobility, depression, hospital admissions and readmissions, or mortality in older adults, with a high degree of study heterogeneity. Narrative analysis showed that the overall quality of care, primary care service use, and functional status of older adults in the intervention group improved, but the cost-effectiveness was unclear. ICT-based integrated care is effective in improving health outcomes for older adults, but the quality and homogeneity of the evidence base need to be improved. Researchers should develop intelligent integrated care programs in the context of local health and care welfare provision systems for older adults, along with the preferences and priorities of the older adults.

Is Use of Psychedelic Drugs a Risk or Protective Factor for Late-Life Cognitive Decline?

Objectives: Common age-related health conditions can lead to poor mental health outcomes and deteriorate cognition. Additionally, commonly prescribed medications for various mental/physical health conditions may cause adverse reactions, especially among older adults. Psychedelic therapy has shown positive impacts on cognition and has been successful in treating various mental health problems without long-lasting adversities. The current study examines the association between psychedelic drug usage and cognitive functions in middle-aged and older adults. Methods: Data were from wave 3 (2013-2014) of the Midlife in the United States (MIDUS) study. We used multiple linear regression models examining associations between psychedelic usage and cognitive functions, controlling for covariates of sociodemographic and health factors. Results: We included 2,503 individuals (Mage = 64 ± 11). After controlling for covariates, the finding revealed that psychedelic usage was independently associated with more favorable changes in executive function (β = .102, SE = 0.047, p = .031) and less depressive symptoms (β = -.090, SE = 0.021, p < .001). The same effect was not found for episodic memory (β = .039, SE = 0.066, p = .553). Discussion: Addressing the mental health implications of physical health conditions in older adults are vital for preventing neurocognitive deterioration, prolonging independence, and improving the quality of life. More longitudinal research is essential utilizing psychedelics as an alternative therapy examining late-life cognitive benefits.

Preventive behavior against covid-19 and its relationship with the social and health conditions of older adults

Resumo Objetivo Descrever o perfil de comportamento preventivo contra covid-19 adotado pelas pessoas idosas e verificar sua relação com as condições sociais e de saúde. Método Estudo transversal e analítico realizado com 72 indivíduos (≥ 60 anos) cadastrados em uma Universidade Aberta para Pessoas Idosas, no município de Campinas, São Paulo, Brasil. Os participantes foram contatados por meio de ligações telefônicas, no período de novembro de 2020 a junho de 2021. Um total de 11 medidas preventivas foram analisadas para a identificação dos comportamentos adotados pelas pessoas idosas contra covid-19. Para a análise dos dados, utilizaram-se análise de componentes principais, testes qui-quadrado de Pearson e Exato de Fisher, com 95% de confiança. Resultados A adoção de comportamentos preventivos foi avaliada por meio das atividades de: higienização das mãos com água e sabão, uso do álcool em gel, uso de máscara facial e distanciamento social. A maioria dos indivíduos mencionou a adoção de comportamentos preventivos (79,2%), e verificou-se que aqueles com renda inferior a quatro salários-mínimos apresentaram maiores proporções de comportamento (87,5%) quando comparados aos indivíduos de renda superior a 10 salários-mínimos (46,2%) (p=0,038). Conclusão Houve adoção às medidas preventivas para covid-19 pelos idosos, influenciada pela renda. Os achados ressaltam a importância de estratégias educativas para promoção de comportamentos preventivos em saúde, considerando o contexto social.

Multimorbidade em idosos e seus fatores associados em 2010 e 2021

Abstract The present study aimed to compare the factors associated with multimorbidity in older adults aged 60 to 69 years, in 2010 and 2021. This is a comparative cross-sectional study, comprised of other two cross-sectional studies. Both data collections were individually conducted by trained interviewers through household surveys in the municipality of Coxilha-RS, Brazil. Bivariate inferential analysis was conducted using Fisher's exact test and chi-square test, while multivariate analysis employed Poisson regression with robust variance with a significance level of p 0.05. It was observed that the prevalence of multimorbidity significantly decreased, decreasing from 66.5% in 2010 to 41.6% in 2021. Dependency for basic and instrumental activities of daily living was associated with higher prevalence of multimorbidity in the year 2010. However, in 2021, being dependent on instrumental activities, being unable to read/write, and being unemployed showed higher prevalence for multimorbidity. In conclusion, it is evident that the health conditions of older adults differed significantly over the years, highlighting the necessity for a reevaluation of healthcare practices to become more effective

Mental Health Status among Individuals with Spouses Residing in Long-term Care Facilities: Using Propensity Score Matching

Purpose: The number of older adults with dementia who reside in long-term care institutions has significantly grown. When older adults with dementia are institutionalized, their spouses, who were providing care at home, may experience chronic mental health conditions. This study examined and compared the mental health status of older adults who institutionalized their spouses with dementia in long-term care institutions versus that of older adults who reside with their spouses in their homes.Methods: The analysis included 95 spouses of institutionalized individuals and 285 control group participants, drawn from 63,617 participants of the 2018 Korean Community Health Survey.Results: The results showed that the spouses of institutionalized individuals with dementia had more depressive symptoms, poorer sleep quality, and experienced greater stress than those in the control group.Conclusion: It is necessary to provide supportive care, for alleviating depressive symptoms, poor sleep quality, and stress, to individuals whose spouses are residing in long-term care facilities. For a spouse caregiver, navigation help and education on the changing roles after an older adult’s admission to a long-term care facility would be necessary.

Evaluating the Dyadic Benefits of Early-Phase Behavioral Interventions: An Exemplar Using Data from Couples Living with Parkinson's Disease.

There are a growing number of early-phase (i.e., Stage I, NIH Stage Model) interventions targeted at family care dyads navigating chronic health conditions in older adults. Currently, benefits of these interventions are often evaluated for older adults and their family care partners separately, even when controlling for interdependence. Without understanding benefits (and potential harms) for dyads as a whole, understanding of program impact is incomplete. Moreover, few health behavior interventions involving dyads include relational measures to ensure no unintended consequences for the dyad or account for within-dyad pre-test risk level. We used secondary data from a quasi-experimental trial involving 39 couples in which one member of the dyad was living with Parkinson's Disease as an exemplar demonstration of three proposed approaches: an above-zero approach, a pre-test risk status approach, and an expanded pattern analysis matrix approach. Approaches provided evidence for dyadic benefits of the intervention compared to the wait-list comparison condition, but carry different assumptions that did not always categorize dyads similarly. Implications of using each approach and selecting different benchmarks for defining success are discussed. The descriptive approaches proposed provide rationale for more intentional evaluation of small-sample, early-phase dyadic interventions.