Person-Centered Models for Cardiovascular Care: A Review of the Evidence: A Scientific Statement From the American Heart Association.

Cardiovascular disease remains the leading cause of death and disability in the United States and globally. Disease burden continues to escalate despite technological advances associated with improved life expectancy and quality of life. As a result, longer life is associated with multiple chronic cardiovascular conditions. Clinical guidelines provide recommendations without considering prevalent scenarios of multimorbidity and health system complexities that affect practical adoption. The diversity of personal preferences, cultures, and lifestyles that make up one's social and environmental context is often overlooked in ongoing care planning for symptom management and health behavior support, hindering adoption and compromising patient outcomes, particularly in groups at high risk. The purpose of this scientific statement was to describe the characteristics and reported outcomes in existing person-centered care delivery models for selected cardiovascular conditions. We conducted a scoping review using Ovid MEDLINE, Embase.com, Web of Science, CINAHL Complete, Cochrane Central Register of Controlled Trials through Ovid, and ClinicalTrials.gov from 2010 to 2022. A range of study designs with a defined aim to systematically evaluate care delivery models for selected cardiovascular conditions were included. Models were selected on the basis of their stated use of evidence-based guidelines, clinical decision support tools, systematic evaluation processes, and inclusion of the patient's perspective in defining the plan of care. Findings reflected variation in methodological approach, outcome measures, and care processes used across models. Evidence to support optimal care delivery models remains limited by inconsistencies in approach, variation in reimbursement, and inability of health systems to meet the needs of patients with chronic, complex cardiovascular conditions.

Noninferior Immunogenicity and Consistent Safety of Respiratory Syncytial Virus Prefusion F Protein Vaccine in Adults 50-59 Years Compared to ≥60 Years of Age.

BACKGROUND: The adjuvanted respiratory syncytial virus (RSV) prefusion F protein-based vaccine (RSVPreF3 OA) is approved in adults aged ≥60 years. We evaluated RSVPreF3 OA immunogenicity and safety in adults aged 50-59 years without or with increased risk for RSV disease due to specific chronic medical conditions. METHODS: This observer-blind, phase 3, noninferiority trial included adults aged 50-59 years, stratified into 2 subcohorts: those with and those without predefined, stable, chronic medical conditions leading to an increased risk for RSV disease. Participants in both subcohorts were randomized 2:1 to receive RSVPreF3 OA or placebo. A control group of adults aged ≥60 years received RSVPreF3 OA. Primary outcomes were RSV-A and RSV-B neutralization titers (geometric mean titer ratios and sero-response rate differences) 1 month post-vaccination in 50-59-year-olds versus ≥60-year-olds. Cell-mediated immunity and safety were also assessed. RESULTS: The exposed population included 1152 participants aged 50-59 years and 381 participants aged ≥60 years. RSVPreF3 OA was immunologically noninferior in 50-59-year-olds versus ≥60-year-olds; noninferiority criteria were met for RSV-A and RSV-B neutralization titers in those with and those without increased risk for RSV disease. Frequencies of RSVPreF3-specific polyfunctional CD4+ T cells increased substantially from pre- to 1 month post-vaccination. Most solicited adverse events had mild-to-moderate intensity and were transient. Unsolicited and serious adverse event rates were similar in all groups. CONCLUSIONS: RSVPreF3 OA was immunologically noninferior in 50-59-year-olds compared to ≥60-year-olds, in whom efficacy was previously demonstrated. The safety profile in 50-59-year-olds was consistent with that in ≥60-year-olds. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov: NCT05590403.

Risk of chronic health conditions in lesbian, gay, and bisexual survivors of adolescent and young adult cancers.

BACKGROUND: In the general population, individuals with minoritized sexual orientation and gender identity have a higher burden of chronic health conditions than heterosexual individuals. However, the extent to which sexual orientation is associated with excess burden of chronic conditions in adolescent and young adult cancer survivors (AYACS) is unknown. METHODS: Lesbian, gay, and bisexual (LGB) AYACSs, LGB individuals without a history of cancer, and heterosexual AYACSs were identified by self-reported data from the cross-sectional National Health Interview Survey (2013-2020). Socioeconomic factors and the prevalence of chronic health conditions were compared between groups using χ2 tests. Logistic regression methods were used to determine the odds of chronic conditions by socioeconomic factors within and between survivor and comparison groups. RESULTS: One hundred seventy LGB cancer survivors, 1700 LGB individuals without a history of cancer, and 1700 heterosexual cancer survivors were included. Compared with heterosexual survivors, LGB survivors were less likely to be married (p = .001) and more likely to have never been married (p < .001). LGB survivors were more likely to have incomes between 100% and 200% of the federal poverty level than LGB individuals without a history of cancer (p = .012) and heterosexual survivors (p = .021) and were less likely to report incomes >200% the federal poverty level. LGB survivors had higher odds of chronic health conditions than LGB individuals without a history of cancer (odds ratio, 2.45; p < .001) and heterosexual survivors (odds ratio, 2.16; p = .003). CONCLUSIONS: LGB AYACSs are at increased risk of having chronic health conditions compared with both LGB individuals without a history of cancer and heterosexual AYACSs.

Continuity and coordination of care for childhood cancer survivors with multiple chronic conditions: Results from the Childhood Cancer Survivor Study.

INTRODUCTION: Continuity and coordination-of-care for childhood cancer survivors with multiple chronic conditions are understudied but critical for appropriate follow-up care. METHODS: From April through June 2022, 800 Childhood Cancer Survivor Study participants with two or more chronic conditions (one or more severe/life-threatening/disabling) were emailed the "Patient Perceived Continuity-of-Care from Multiple Clinicians" survey. The survey asked about survivors' main (takes care of most health care) and coordinating (ensures follow-up) provider, produced three care-coordination summary scores (main provider, across multiple providers, patient-provider partnership), and included six discontinuity indicators (e.g., having to organize own care). Discontinuity (yes/no) was defined as poor care on one or more discontinuity item. Chi-square tests assessed associations between discontinuity and sociodemographics. Modified Poisson regression models estimated prevalence ratios (PRs) for discontinuity risk associated with the specialty and number of years seeing the main and coordinating provider, and PRs associated with better scores on the three care-coordination summary measures. Inverse probability weights adjusted for survey non-participation. RESULTS: A total of 377 (47%) survivors responded (mean age 48 years, 68% female, 89% non-Hispanic White, 78% privately insured, 74% ≥college graduate); 147/373 (39%) reported discontinuity. Younger survivors were more likely to report discontinuity (chi-square p = .02). Seeing the main provider ≤3 years was associated with more prevalent discontinuity (PR; 95%CI) (1.17; 1.02-1.34 vs ≥ 10 years). Cancer specialist main providers were associated with less prevalent discontinuity (0.81; 0.66-0.99 vs. primary care). Better scores on all three care-coordination summary measures were associated with less prevalent discontinuity: main provider (0.73; 0.64-0.83), across multiple providers (0.81; 0.78-0.83), patient-provider partnership (0.85; 0.80-0.89). CONCLUSIONS: Care discontinuity among childhood cancer survivors is prevalent and requires intervention.

Trend in prevalence, associated risk factors, and longitudinal outcomes of sarcopenia in China: A national cohort study.

AIMS: To estimate the contemporary trend in the prevalence of sarcopenia and evaluate its risk factors and the longitudinal associations with multiple chronic conditions and mortality among Chinese middle-aged and older adults. METHODS: This was a nationwide, prospective cohort study using data from the China Health and Retirement Longitudinal Study. The definition of sarcopenia was based on the Asian Working Group for Sarcopenia 2019 algorithm. In the cross-sectional analysis, we estimated the trend in the weighted prevalence of sarcopenia from 2011 to 2015 and examined the associated risk factors for sarcopenia severity in 2011. In the longitudinal analysis, we assessed the longitudinal associations between sarcopenia and 14 chronic conditions and mortality during a 9-year follow-up. RESULTS: The weighted prevalence of sarcopenia remained consistently high in the overall population from 2011 (15.9%, 95% confidence intervals [CI]: 15.1, 16.6) to 2015 (15.0%, 95% CI: 14.3, 15.6; p for trend = 0.075). A range of risk factors were independently associated with the severity of sarcopenia, including older age, female sex, lower socioeconomic status, smoking status, malnutrition, and several chronic conditions. Possible sarcopenic and sarcopenic individuals had higher odds of several chronic conditions (i.e., heart disease, chronic lung disease, and memory-related disease) and increased risks of mortality (possible sarcopenia: odds ratios (OR): 1.66, 95% CI: 1.37, 2.00; sarcopenia: OR: 1.69, 95% CI: 1.36, 2.11) in 9 years of follow-up. CONCLUSIONS: The prevalence of sarcopenia remained consistently high in the investigated population. Various risk factors were significantly associated with a higher prevalence of sarcopenia. Sarcopenic individuals had higher odds of several chronic conditions and increased risks of mortality, highlighting that the urgent need for dedicated efforts to improve the management of sarcopenic patients.

Excess prevalence of preexisting chronic conditions in older adults with incident epilepsy.

OBJECTIVE: Prior studies have examined chronic conditions in older adults with prevalent epilepsy, but rarely among those with incident epilepsy. Identifying the chronic conditions with which older adults present at epilepsy incidence assists with the evaluation of disease burden in this patient population and informs coordinated care development. The aim of this study was to identify preexisting chronic conditions with excess prevalence in older adults with incident epilepsy compared to those without. METHODS: Using a random sample of 4 999 999 fee-for-service Medicare beneficiaries aged >65 years, we conducted a retrospective cohort study of epilepsy incidence in 2019. Non-Hispanic Black and Hispanic beneficiaries were oversampled. We identified preexisting chronic conditions from the 2016-2018 Medicare Beneficiary Summary Files and compared chronic condition prevalence between Medicare beneficiaries with and without incident epilepsy in 2019. We characterized variations in preexisting excess chronic condition prevalence by age, sex, and race/ethnicity, adjusting for the racial/ethnic oversampling. RESULTS: We observed excess prevalence of most preexisting chronic conditions in beneficiaries with incident epilepsy (n = 20 545, weighted n = 19 631). For stroke, for example, the adjusted prevalence rate ratio (APRR) was 4.82 (99% CI:4.60, 5.04), meaning that, compared to those without epilepsy, beneficiaries with incident epilepsy in 2019 had 4.82 times the stroke prevalence. Similarly, beneficiaries with incident epilepsy had a higher prevalence rate for preexisting neurological conditions (APRR = 3.17, 99% CI = 3.08-3.27), substance use disorders (APRR = 3.00, 99% CI = 2.81-3.19), and psychiatric disorders (APRR = 1.98, 99% CI = 1.94-2.01). For most documented chronic conditions, excess prevalence among beneficiaries with incident epilepsy in 2019 was larger for younger age groups compared to older age groups, and for Hispanic beneficiaries compared to both non-Hispanic White and non-Hispanic Black beneficiaries. SIGNIFICANCE: Compared to epilepsy-free Medicare beneficiaries, those with incident epilepsy in 2019 had a higher prevalence of most preexisting chronic conditions. Our findings highlight the importance of health promotion and prevention, multidisciplinary care, and elucidating shared pathophysiology to identify opportunities for prevention.

Modeling long COVID dynamics: Impact of underlying health conditions.

We propose a new mathematical model to investigate the population dynamics of long COVID, with a focus on the impact of chronic health conditions. Our model connects long COVID with the transmission of COVID-19 so as to accurately predict the prevalence of long COVID from the progression of the infection in the host population. The model additionally incorporates the effects of COVID-19 vaccination. We implement the model with data from both the US and the UK to demonstrate the real-world applications of this modeling framework.

In which common chronic conditions can (or cannot) obesity and lifestyle factors explain higher concentrations of C-reactive protein?

AIM: Elevated C-reactive protein (CRP), a marker of inflammation, is common in many chronic conditions. We aimed to examine to what extent elevated CRP in chronic conditions could be explained by concurrent adiposity. MATERIALS AND METHODS: This cross-sectional study analysed UK Biobank data on 10 chronic conditions reported at baseline. Linear regression models explored the extent to which CRP concentrations were elevated in each condition, unadjusted; adjusted for sociodemographic confounders and lifestyle and body mass index (BMI) in a series of models; or adjusted for BMI and waist circumference together or for adiposity alone. RESULTS: After exclusion of participants with a potential acute infection at baseline, we tested the association in 292 772 UK Biobank participants. Linear regression showed that elevated CRP concentration was associated with all included conditions. After adjustment for sociodemographic confounders, lifestyle and BMI, chronic kidney disease, heart failure, liver disease, psoriasis, rheumatoid arthritis and chronic obstructive pulmonary disease were still associated with elevated CRP. In contrast, the association between prevalent diabetes, prior myocardial infarction (MI), hypertension and sleep apnoea and CRP could be mostly explained by adiposity alone. For example, the 42% higher CRP concentrations in diabetes compared to those without diabetes in the unadjusted model (lnCRP ß: 0.35; 95% confidence interval [CI]: 0.32-0.37, p < 0.001) were completely attenuated after adjustment for BMI (lnCRP ß: -0.07; 95% CI: -0.09-0.05, p < 0.001). CONCLUSIONS/INTERPRETATION: In diabetes, MI, hypertension and sleep apnoea and elevated CRP appears to be accounted for by the greater adiposity typically evident in these conditions. However, for the other conditions, systemic inflammation cannot be explained by excess adiposity alone.

An expanded chronic care management approach to multiple chronic conditions in Hispanics using community health workers as community extenders in the Rio Grande Valley of Texas.

INTRODUCTION: The synergistic negative effects of type 2 diabetes (T2DM) and hypertension increases all-cause mortality and the medical complexity of management, which disproportionately impact Hispanics who face barriers to healthcare access. The Salud y Vida intervention was delivered to Hispanic adults living along the Texas-Mexico Border with comorbid poorly controlled T2DM and hypertension. The Salud y Vida multicomponent intervention incorporated community health workers (CHWs) into an expanded chronic care management model to deliver home-based follow-up visits and provided community-based diabetes self-management education. METHODS: We conducted multivariable longitudinal analysis to examine the longitudinal intervention effect on reducing systolic and diastolic blood pressure among 3806 participants enrolled between 2013 and 2019. Participants were compared according to their program participation as either higher (≥ 10 combined educational classes and CHW visits) or lower engagement (<10 encounters). Data was collected between 2013 and 2020. RESULTS: Baseline mean systolic and diastolic blood pressure were 138 and 81 mmHg respectively. There were overall improvements in systolic (-6.49; 95% CI = [-7.13, -5.85]; p < 0.001) and diastolic blood pressure (-3.97; 95% CI = [-4.37, -3.56]; p < 0.001). The higher engagement group had greater systolic blood pressure reduction at 3 months (adjusted mean difference = -1.8 mmHg; 95% CI = [-3.2, -0.3]; p = 0.016) and at 15 month follow-up (adjusted mean difference = -2.3 mmHg; 95% CI = [-4.2, -0.39]; p = 0.0225) compared to the lower engagement group. CONCLUSION: This intervention, tested and delivered in a real-world setting, provides an example of how CHW integration into an expanded chronic care model can improve blood pressure outcomes for individuals with co-morbidities.

The impact of chronic conditions on productivity-adjusted life years (PALYs) in both the workplace and household settings in the general adult population in Finland.

OBJECTIVES: This study aimed to quantify the burden of eight non-communicable conditions on productivity-adjusted life year (PALY) at work and within the household among the Finnish general adult population. METHODS: Survey data on 18-79-year-old Finnish respondents collected in 2022 was used to calculate age- and sex-specific productivity indices at work and within the household using zero- and one-inflated beta regression for individuals with and without a certain condition (asthma or chronic obstructive pulmonary disease, cardiovascular disease, depression or other mental health problem, diabetes, gastrointestinal disease, hypothyroidism or other thyroid disease, migraine or other chronic headache, and musculoskeletal disease). Age and sex distributions of the Finnish population obtained from Statistics Finland together with the prevalence of the condition and the estimated productivity indices were used to produce the population-level one-year losses in PALYs at work and within the household. RESULTS: Among eight conditions, depression and other mental health problems had the highest PALY losses (99 570 PALY loss burden at work, 256 086 PALY loss at home, and 250 980 PALY loss in general adult populations), with diabetes having the lowest (3 666 PALY loss burden at work, 46 344 PALY loss at home, and 43 443 PALY loss in general adult populations). All the examined conditions were as significant in affecting both the productivity at work and the within-household productivity. CONCLUSIONS: Depression and other mental health problems have a major effect on self-reported work ability and productivity when compared with other chronic conditions.

Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis.

BACKGROUND: Adults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce. OBJECTIVES: To estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC. METHODS: We conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit. RESULTS: Among 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus. CONCLUSIONS: MCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.

Changes in the prevalence of maternal chronic conditions during pregnancy: A nationwide age-period-cohort analysis.

OBJECTIVE: To estimate temporal changes in the prevalence of pre-existing chronic conditions among pregnant women in Sweden and evaluate the extent to which secular changes in maternal age, birth cohorts and obesity are associated with these trends. DESIGN: Population-based cross-sectional study. SETTING: Sweden, 2002-2019. POPULATION: All women (aged 15-49 years) who delivered in Sweden (2002-2019). METHODS: An age-period-cohort analysis was used to evaluate the effects of age, calendar periods, and birth cohorts on the observed temporal trends. MAIN OUTCOME MEASURES: Pre-existing chronic conditions, including 17 disease categories of physical and psychiatric health conditions recorded within 5 years before childbirth, presented as prevalence rates and rate ratios (RRs) with 95% confidence intervals (CIs). Temporal trends were also adjusted for pre-pregnancy body mass index (BMI) and the mother's country of birth. RESULTS: The overall prevalence of at least one pre-existing chronic condition was 8.7% (147 458 of 1 703 731 women). The rates of pre-existing chronic conditions in pregnancy increased threefold between 2002-2006 and 2016-2019 (RR 2.82, 95% CI 2.77-2.87). Rates of psychiatric (RR 3.80, 95% CI 3.71-3.89), circulatory/metabolic (RR 1.62, 95% CI 1.55-1.71), autoimmune/neurological (RR 1.69, 95% CI 1.61-1.78) and other (RR 2.10, 95% CI 1.99-2.22) conditions increased substantially from 2002-2006 to 2016-2019. However, these increasing rates were less pronounced between 2012-2015 and 2016-2019. No birth cohort effect was evident for any of the pre-existing chronic conditions. Adjusting for secular changes in obesity and the mother's country of birth did not affect these associations. CONCLUSIONS: The burden of pre-existing chronic conditions in pregnancy in Sweden increased from 2002 to 2019. This increase may be associated with the improved reporting of diagnoses and advancements in chronic condition treatment among women, potentially enhancing their fecundity.

Interfaces of 'being healthy and being Ill': how is health being perceived by individuals with non-communicable chronic conditions?

BACKGROUND: Accommodating chronic care into the everyday lives of individuals diagnosed with non-communicable chronic conditions often poses significant challenges. Several studies in public health literature that addressed the question of non-adherence to treatment by turning their gaze towards individual's perception of their own health restricted the use of perception exploration to visceral states and corporeality without adequately acknowledging the mutual permeance of socio-biological worlds. This study explored the socio-economic genealogies of individuals, to understand the role of structural and intermediate factors that determine health perceptions, by attempting to answer the question 'how do individuals with non-communicable chronic conditions perceive their health as healthy or ill'?. METHODS: This study was conducted in a low-income neighbourhood called Kadugondanahalli in India using qualitative research methods. A total of 20 in-depth interviews were conducted with individuals diagnosed with non-communicable chronic conditions. Individuals were recruited through purposive and snowball sampling. RESULTS: The participants predominantly perceived their health as being healthy and ill in an episodic manner while adhering to their treatment and medications for chronic conditions. This was strongly determined by the factors such as presence of family support and caregiving, changes in work and occupation, changes in lifestyle, psychological stress from being diagnosed, and care-seeking practices. This episodic perception of illness led to the non-adherence of prescribed chronic care. CONCLUSIONS: Due to the episodic manner in which the participants experienced their illness, the paper recommends considering health and illness as two different entities while researching chronic conditions. It is important for the health system to understand and fix the healthy and ill episodes, which often lead to switching between controlled and uncontrolled states of diabetes and hypertension. To do so, it is important to consider the social, economic, behavioural and psychological factors in an individual's health outcome. The interplay between these factors has socialized health perception and various related practices from the individual to the community level. Therefore, the health system needs to re-strategize its focus from individual to community level interventions to address the determinants of health and NCD risk factors by strengthening the NCD prevention approach.

Medical expenses and its determinants in female patients with urological disorder.

BACKGROUND: The rising older adult population has led to an increase in the prevalence of chronic diseases and medical expenses. Women tend to have a longer healthy life expectancy than men and are more likely to be exposed to urological disorders around the age of 50, resulting in substantial healthcare expenses throughout their lifetime. Urological disorders often require continuous treatment owing to their high risk of recurrence, contributing to an increased financial burden from medical costs. This study aimed to identify factors influencing medical expense in female patients with urological disorders and propose strategies to alleviate the associated financial burden. METHODS: We used data from the Korea Health Panel Survey conducted from 2011 to 2016. The final sample comprised 2,932 patients who visited hospitals for urological disorders. To identify the factors influencing medical expense among female patients with urological disorders, we employed a generalized estimating equation model. RESULTS: The results indicated that younger people and patients with middle-income levels tended to incur higher medical expenses. Furthermore, patients receiving treatment at tertiary hospitals and those enrolled in National Health Insurance also incurred higher health expenses. CONCLUSIONS: This study suggests that effective management of medical expenses related to urological disorders in women requires improvements in healthcare accessibility to facilitate early detection and continuous disease management. In addition, the findings highlight the potential benefits of digital health and non-face-to-face treatments in addressing these needs.

Health and disability - a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions.

BACKGROUND: This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables. METHODS: Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression. RESULTS: A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status. CONCLUSIONS: The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.

Factors associated with institutionalization among the oldest old: Results based on the nationally representative study 'old age in Germany (D80+)'.

OBJECTIVES: To examine the factors associated with institutionalization among individuals aged 80 years and over in Germany (total sample and stratified by sex). METHODS/DESIGN: We used data from the nationally representative 'Old Age in Germany (D80+)' (analytic sample: n = 9572 individuals), including individuals aged 80 years and over in Germany. Institutionalization (private living vs. institutionalization) served as an outcome measure. For the written interview, data collection took place from November 2020 to April 2021. Multiple logistic regressions of the overall sample (also stratified by sex) were applied. RESULTS: In the analytic sample, 10.2% (95% CI: 9.2%-11.3%) of the participants were institutionalized. The odds of being institutionalized were positively associated with being female (OR: 2.02, 95% CI: 1.08 to 3.80), being 90 years and over (compared to 80-84 years, OR: 1.67, 95% CI: 1.17 to 2.40), not being married (e.g., being single compared to being married: OR: 14.06, 95% CI: 6.73 to 29.37), higher education (e.g., high education compared to low education: OR: 1.88, 95% CI: 1.25 to 2.84), more favorable self-rated health (OR: 1.32, 95% CI: 1.07 to 1.62) and greater functional impairment (OR: 15.34, 95% CI: 11.91 to 19.74). Sex-stratified regressions were also conducted, mostly yielding similar results. CONCLUSION: Our study highlighted the role of several sociodemographic factors (particularly marital status, e.g., being single) and functional impairment for the risk of institutionalization among the oldest old in Germany. This study confirms findings in studies in younger samples that functional decline is the main factor associated with institutionalization. As functional decline may be modifiable, efforts to maintain functional abilities may be important. This knowledge is important for relevant groups (such as clinicians and policy-makers) because it may guide early intervention and prevention efforts, can help allocate healthcare resources effectively and shape policies to support independent living. Further insights using longitudinal data is recommended.

Relative importance of selected predictors of health-related quality-of-life (HRQOL) among U.S. adults.

PURPOSE: Many factors have been associated with health-related quality of life (HRQOL), and researchers often have tried to rank these contributing factors. Variable importance quantifies the net independent contribution of each individual predictor in a set of predictors to the prediction accuracy of the outcome. This study assessed relative importance (RI) of selected contributing factors to respondents' physically unhealthy days (PUD), mentally unhealthy days (MUD), activity limitation days (ALD), and EuroQol EQ-5D index derived from the Healthy Days measures (dEQ-5D). METHODS: Using data from the 2021 Behavioral Risk Factor Surveillance Systems (BRFSS), we estimated the RI of seven socio-demographics and seventeen chronic conditions and risk behaviors. A variable's importance was measured as the average increase in the coefficient of determination after adding the variable to all possible sub-models. RESULTS: After controlling for socio-demographics, arthritis and no physical activity were the most important variables for PUD with a RI of 10.5 and 10.4, respectively, followed by depression (RI = 8.5) and COPD (RI = 8.3). Depression was the most important variable for MUD with RI = 23.0 while all other 16 predictors had a RI < 7.0. Similar results were observed for ALD and dEQ-5D: depression was the most important predictor (RI = 16.3 and 15.2, respectively), followed by no physical activity, arthritis, and COPD (RI ranging from 7.1 to 9.2). CONCLUSION: This study quantified and ranked selected contributing factors of HRQOL. Results of this analysis also can be used to validate HRQOL measures based on domain knowledge of HRQOL.

Variables Associated With Moderate to High Loneliness Among Individuals Living With Spinal Cord Injuries and Disorders.

OBJECTIVE: To identify variables independently associated with moderate to high loneliness in individuals living with Spinal Cord Injuries or Disorders (SCI/D). DESIGN: A cross-sectional, national survey of a random sample of community-dwelling Veterans with SCI/D in the United States. Survey methodology was used to collect data on demographic and injury characteristics, general health, chronic and SCI-secondary conditions, and loneliness. SETTING: The VHA SCI/D System of Care including 25 regional SCI/D Centers (or Hubs). PARTICIPANTS: Among 2466 Veterans with SCI/D, 592 completed surveys (24%). Most participants were men (91%), white (81%), not currently married (42%), had tetraplegia (33%), and on average injured for 18 years at the time of data collection (N=562). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The dependent variable, loneliness, was collected using the UCLA-3 instrument. Loneliness was dichotomized into never/low loneliness and moderate/high loneliness (UCLA score ≥ 4). RESULTS: Bivariate analyses assessed unadjusted associations in demographics, injury characteristics, chronic disease, and SCI-secondary conditions. Multivariable logistic regression was used to identify factors independently associated with moderate/high loneliness. Participants had a mean loneliness score of 5.04, SD=1.99. The point prevalence of moderate to high loneliness was 66%. Lower duration of injury, paraplegia, being unmarried, being in fair/poor general health, having dysfunctional sleep, and having a diagnosis of bowel dysfunction were each independently associated with greater odds of moderate/high loneliness. CONCLUSIONS: Findings suggest that interventions to reduce/manage loneliness in the Veteran SCI/D population should focus on those who are more newly injured, have paraplegia, currently unmarried, have bowel problems, and experience dysfunctional sleep.

Influence of chronic medical conditions on older patients' willingness to deprescribe medications: a cross-sectional study.

BACKGROUND: Aging correlates with a heightened prevalence of chronic diseases, resulting in multimorbidity affecting 60% of those aged 65 or older. Multimorbidity often leads to polypharmacy, elevating the risk of potentially inappropriate medication (PIM) use and adverse health outcomes. To address these issues, deprescribing has emerged as a patient-centered approach that considers patients' beliefs and attitudes toward medication and reduces inappropriate polypharmacy in older adults. Our study aims to investigate whether certain chronic medical conditions are associated with older patients' willingness to deprescribe medications. METHODS: A cross-sectional study enrolled 192 community-dwelling individuals aged 65 or older taking at least one regular medication. Data included demographics, clinical characteristics, and responses to the Portuguese revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire. Descriptive statistics characterized participants, while multiple binary logistic regression identified associations between chronic medical conditions and willingness to deprescribe. RESULTS: Among the participants (median age: 72 years, 65.6% female), 91.6% had multimorbidity. The analysis revealed that willingness to deprescribe significantly increased with the presence of gastric disease (adjusted odds ratio [aOR] = 4.123; 95% CI 1.221, 13.915) and age (aOR = 1.121; 95% CI 1.009, 1.246). Conversely, prostatic pathology (aOR = 0.266; 95% CI 0.077, 0.916), higher scores in the rPATD appropriateness factor (aOR = 0.384; 95% CI 0.190, 0.773), and rPATD concerns about stopping factor (aOR = 0.450; 95% CI 0.229, 0.883) diminished patients' willingness to deprescribe. CONCLUSIONS: This study highlights the intricate relationship between older patients' attitudes toward deprescribing and chronic medical conditions. We found that gastric disease was associated with an increased willingness to deprescribe medications, while prostate disease was associated with the opposite effect. Future research should explore how patients with specific diseases or groups of diseases perceive deprescribing of medications general and for specific medications, aiding in the development of targeted interventions.

Predictors of basic and instrumental activities of daily living among older adults with multiple chronic conditions.

BACKGROUND: Understanding the predictors of functional status can be useful for improving modifiable predictors or identifying at-risk populations. Researchers have examined the predictors of functional status in older adults, but there has not been sufficient study in this field in older adults with multiple chronic conditions, especially in Iran. Consequently, the results of this body of research may not be generalizable to Iran. Therefore, this study was conducted to determine the predictors of functional status in Iranian older adults with multiple chronic conditions. METHODS: In this cross-sectional study, 118 Iranian older adults with multiple chronic conditions were recruited from December 2022 to September 2023. They were invited to respond to questionnaires inquiring about their demographic and health information, basic activities of daily living (BADL) and instrumental activities of daily living (IADL), depression and cognitive status. The predictors included age, gender, marital status, education, number of chronic conditions, and depression. Descriptive and analytical statistical tests (univariate and multiple regression analysis) were used to analyze the data. RESULTS: The majority of participants were married (63.9%) and women (59.3%). Based on the results of the multiple regression analysis, age (B=-0.04, P = 0.04), depression (B=-0.12, P = 0.04), and IADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of BADL. Also, marital status (B=-0.51, P = 0.05), numbers of chronic conditions (B=-0.61, P = 0.002), and BADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of IADL. CONCLUSION: The findings support the predictive ability of age, marital status, number of chronic diseases, and depression for the functional status. Older adults with multiple chronic conditions who are older, single, depressed and with more chronic conditions number are more likely to have limitations in functional status. Therefore, nurses and other health care providers can benefit from the results of this study and identify and pay more attention to the high risk older adult population.