Poor self-rated health did not increase risk of permanent nursing placement or mortality in people with mild Alzheimer's disease

The role of functioning in predicting nursing home placement or death among older home care patients

OBJECTIVE

There have been few studies predicting institutionalization or death in home care settings. We examined risk factors for nursing home placement (NHP) and death among home care patients.

DESIGN

A prospective one-year follow-up study.

SETTINGS AND SUBJECTS

Persons aged ≥65 years living in Eastern Finland and receiving regular home care services (n = 293).

MAIN OUTCOME MEASURES

Risk factors for NHP or death were investigated using Cox proportional hazards model. Explanatory variables included demographics, health status (Charlson Comorbidity Index, CCI), physical (Timed Up and Go, TUG), and cognitive (Mini-Mental State Examination, MMSE) functioning, Basic and Instrumental Activities of Daily Living (BADL, IADL) and mood (Geriatric Depression Scale, GDS-15).

RESULTS

Of the 293 patients (mean age 82.6 years, 70.6% women), 27 (9.2%) moved to a nursing home and 25 (6.9%) died during the follow-up (mean 350 days). The combined outcome of NHP or death was predicted by BADL (HR 0.73, CI 95% 0.62-0.86), IADL (0.75, 0.65-0.87) MMSE (0.92, 0.87-0.96), and TUG (1.02, 1.01-1.03). NHP alone was predicted by BADL (0.62, 0.50-0.78), IADL (0.57, 0.45-0.73), and MMSE (0.88, 0.82-0.94) and mortality by TUG (1.02, 1.01-1.03).

CONCLUSION

Basic measures of functioning can be used to identify high-risk patients in home care. Decreasing BADL, IADL and MMSE predict NHP and longer TUG-times death within a year.

Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment

BACKGROUND

The concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among persons with cognitive impairment (PCIs).

METHODS

We used group-based trajectory models to identify latent group memberships for PF trajectories in 1,641 PCIs and GHS trajectories in 2,021 PCIs from the National Health and Aging Trends Survey (2011-2018) and applied logistic regressions to predict mortality using these memberships controlling for individual characteristics.

RESULTS

We identified six trajectory groups for PF and four groups for GHS. Trajectory group memberships for both outcomes significantly predicted mortality. For PF, group memberships largely captured the average levels over time, and worse trajectories (i.e., lower baselines and faster declines) were associated with higher odds of death. The highest mortality risk was associated with the group experiencing a sharp decline early in its PF trajectory, although its average level across time was not the lowest. For GHS, we observed two groups with comparable average levels across time, but the one with a convex-shape trajectory had much higher mortality risks compared to the one with a concave-shape trajectory.

CONCLUSIONS

Our findings highlighted that health trajectories predicted mortality among PCIs, not only because of general levels but also because of the shapes of declines. Close monitoring health deterioration of PCIs is crucial to understand the health burden of this population and to make subsequent actions.

Association between multimorbidity, self-rated health and life satisfaction among independent, community-dwelling very old persons in Japan: longitudinal cohort analysis from the Kawasaki Ageing and Well-being Project

OBJECTIVE

This study aimed to identify associations between multimorbidity and subjective health outcomes among the very old persons, after adjusting for coexisting conditions such as frailty and depression.

STUDY SETTING AND PARTICIPANTS

This was an observational cross-sectional study involving 1012 independent, community-dwelling very old persons (507 men, 505 women; aged 85-89 years) in Kawasaki city, Japan.

OUTCOME MEASURES

The primary outcome was the cross-sectional associations between multimorbidity and poor self-rated health (SRH) and life satisfaction using binary logistic regression. The secondary outcome was the association of subjective health with each chronic condition.

RESULTS

The prevalence of multimorbidity (≥2 conditions) was 94.7%, and the average number of chronic conditions was 4.47±1.9. Multimorbidity was significantly associated with poor SRH in the adjusted model only when six or more chronic conditions were present (OR 4.80; 95% CI 1.34 to 17.11; p=0.016). Cerebrovascular disease, heart disease, respiratory disease, connective tissue disease and arthritis showed significant associations with poor SRH after multivariate adjustment. Sex-specific analysis replicated associations between multimorbidity with six or more conditions and SRH in both men and women, while the diseases with the greatest impact on SRH differed between men and women. Most conditions were not associated with low satisfaction with life scale, with the exception of arthritis (OR 1.92, 95% CI 1.32 to 2.78, p=0.001).

CONCLUSIONS

Multimorbidity is prevalent in the independent, community-dwelling very old persons and is associated with poor SRH when six or more conditions are present; conditions causing mobility limitations, such as cerebrovascular disease, connective tissue disease and arthritis, have a negative impact on SRH.

TRIAL REGISTRATION NUMBER

UMIN000026053.

Self-rated health as a predictor of mortality according to cognitive impairment: findings from the Korean Longitudinal Study of Aging (2006-2016)

OBJECTIVES

Self-rated health is an instrumental variable to assess the overall health status of a population. However, it remains questionable whether it is still useful for cognitively impaired individuals. Therefore, this study aims to analyze whether self-rated health by the cognitively impaired predicts mortality reliably.

METHODS

This study used 7,881 community-dwelling individuals, aged 45 and above, from the Korean Longitudinal Study of Aging (2006-2016). It used the Cox proportional hazard models for analysis. Cognitive status was classified based on the Korean Mini Mental State Examination score and a stratified analysis was used to determine whether the predictability of self-rated health varies according to cognitive status.

RESULTS

For cognitively intact individuals, the adjusted hazard ratios (aHR) of mortality were 2.00 (95% confidence interval [CI], 1.18 to 3.41, model 4) for those with ‘bad’ self-rated health and 2.40 (95% CI, 1.35 to 4.25, model 4) for those with ‘very bad’ self-rated heath, respectively, compared with those with ‘very good’ health. The results remain statistically significant even after adjusting for socio-demographic factors, health status, and health-related behaviors. For cognitively impaired individuals, the aHR of mortality was statistically significant for those with ‘very bad’ self-rated health, compared with those with ‘very good’ health, when socio-demographic factors were accounted for (aHR, 3.03; 95% CI, 1.11 to 8.28, model 2).

CONCLUSIONS

Self-rated health by cognitively impaired individuals remains useful in predicting mortality. It appears to be a valid and reliable health indicator for the rising population with cognitive impairment, especially caused by aging population.

Frailty, walking ability and self-rated health in predicting institutionalization: an 18-year follow-up study among Finnish community-dwelling older people

Background

In clinical practice, there is a need for an instrument to screen older people at risk of institutionalization.

Aims

To analyze the association of frailty, walking-ability and self-rated health (SRH) with institutionalization in Finnish community-dwelling older people.

Methods

In this prospective study with 10- and 18-year follow-ups, frailty was assessed using FRAIL Scale (FS) (n = 1087), Frailty Index (FI) (n = 1061) and PRISMA-7 (n = 1055). Walking ability was assessed as self-reported ability to walk 400 m (n = 1101). SRH was assessed by a question of general SRH (n = 1105). Cox regression model was used to analyze the association of the explanatory variables with institutionalization.

Results

The mean age of the participants was 73.0 (range 64.0‒97.0) years. Prevalence of institutionalization was 40.8%. In unadjusted models, frailty was associated with a higher risk of institutionalization by FS in 10-year follow-up, and FI in both follow-ups. Associations by FI persisted after age- and gender-adjustments in both follow-ups. By PRISMA-7, frailty predicted a higher risk of institutionalization in both follow-ups. In unadjusted models, inability to walk 400 m predicted a higher risk of institutionalization in both follow-ups and after adjustments in 10-year follow-up. Poor SRH predicted a higher risk of institutionalization in unadjusted models in both follow-ups and after adjustments in 10-year follow-up.

Discussion

Simple self-reported items of walking ability and SRH seemed to be comparable with frailty indexes in predicting institutionalization among community-dwelling older people in 10-year follow-up.

Conclusions

In clinical practice, self-reported walking ability and SRH could be used to screen those at risk.

Electronic supplementary material

The online version of this article (10.1007/s40520-020-01551-x) contains supplementary material, which is available to authorized users.

[Influencing factors for nursing home admission in case of pre-existing need of care - a systematic review]

INTRODUCTION

Knowledge about predictors of nursing home placement is highly relevant. If they are known, targeted interventions such as counselling can help prevent or delay relocation to a nursing home. Above all, preventive and structural measures can target influenceable predictors. The aim of the review was to map predictors of nursing home admission and thus the permanent stay in inpatient long-term care for the target group of people with a pre-existing need for care.

METHODS

A systematic literature search in the databases The Cochrane Library, PubMed, CINAHL, GeroLit and CareLit® was conducted in September 2017. Longitudinal studies with quantitative analyses were included. The methodological quality was assessed using the Newcastle-Ottawa Scale.

RESULTS

45 cohort studies were included. 21 studies examined study populations with need for care, in 24 studies the care status was unclear. A variety of predictors of nursing home admission with at least one-and-a-half times higher risk for both study populations could be identified, including higher age, dementia, underweight, higher age of caregiver, psychiatric symptoms, smoking status, ethnicity, challenging behaviour in people with dementia, higher number of hospitalizations and lower level of life satisfaction.

DISCUSSION

All the predictors identified are relevant to people in need of care. No predictors for the study population with need of care could be identified that are particularly important in contrast to persons with an unclear care status. However, the quality of studies among people with care and support needs is limited compared to studies targeting people with unclear care status.

CONCLUSIONS

Many factors seem to predict the admission to a nursing facility. For the first time, these factors are listed in this systematic review for the target group of people in need of care. Interventions or preventive measures based on known influenceable predictors can help prevent or delay nursing home admission.

Structure of self-rated health among the oldest old: Analyses in the total population and those living with dementia

No previous study has explored the structure of self-rated health (SRH), a measure holding strong predictive value for future health events, in the oldest old or in individuals with dementia. The aim was to construct a structural equation model of SRH for oldest old in general and for oldest old with dementia, and to explore direct and indirect associations between health-related factors and SRH. Cross-sectional data from the Vitality 90+, a population-based study in the city of Tampere, Finland, was used. Data were gathered by a mailed questionnaire in 2014. Altogether 1299 nonagenarians, of which 408 had self-reported dementia or cognitive decline, were included. Structural equation models were constructed for all participants and separately for participants with dementia. Diseases (heart disease, stroke, diabetes, arthritis, hip fracture, cancer and dementia for the model for all), dizziness, hearing, vision, mobility, activities of daily living, fatigue, depression and SRH were included in the models. Among all participants, fatigue, depression, problems in mobility, dizziness, deficits in vision and heart disease were directly associated with poor SRH. Among participants with dementia, only fatigue, dizziness and deficits in vision were directly associated with poor SRH. Among all participants, dementia and arthritis were indirectly associated with poor SRH through problems in mobility, depression and fatigue. Among the oldest old, the effects of diseases on SRH were mainly manifested through the consequences of diseases, namely fatigue, dizziness, deficits in vision and problems in mobility. Depression has an important direct and indirect role, and dementia and arthritis an important indirect role in the structure of SRH. Dementia weakens many of the direct and indirect associations for SRH.

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First study to explore structure of self-rated health in oldest old and persons with dementia.

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Fatigue, depression, mobility, dizziness, vision and heart disease directly affect health-rating in oldest old.

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Dementia, depression and arthritis affect health rating indirectly through various routes in oldest old.

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Dementia weakens many of the associations between objective indicators of health with self-rated health.

Features and impact of missing values in the association of self-rated health with mortality in care homes: a longitudinal study

BACKGROUND

Self-rated health (SRH) is a health measure used in studies of older adults. The objective of this study is to analyze SRH as a predictor of mortality in the institutionalized older population and the characteristics of those who do not provide information about their SRH on health questionnaires.

METHODS

This is a 15-year follow-up study of older adult residents in nursing or care homes in of Madrid, Spain. SRH was measured on a 5-point Likert type scale. The association between answering the SRH question and socio-demographic and health characteristics was evaluated through prevalence ratio (PR), estimated by Poisson regression models. Survival rates associated with SRH were studied through a multivariate Cox regression.

RESULTS

The sample has a mean age of 83.4 (standard deviation, SD = 7.3), with 75.7% women. Twelve percent did not answer the SRH item. Those who did not answer showed a higher probability of disability (Barthel index, PR = 0.76, 95% confidence interval = 0.67-0.86) and/or dementia (PR = 8.03, 3.38-19.03). A trend for higher mortality was observed in those persons who did not respond (adjusted hazard ratio HR = 1.26, 0.75-2.11). The mortality rate was 32% higher for those who declared poor SRH in comparison with those who reported good SRH (adjusted HR = 1.32, 1.08-1.6).

CONCLUSIONS

There is an elevated number of people who do not respond to the SRH item, mainly those with disabilities and cognitive deterioration. Lack of response to SRH is a good indicator of 15-year mortality for persons institutionalized in care or nursing homes.

Item distribution and inter-rater reliability of the German version of the quality of life in Alzheimer's disease scale (QoL-AD) proxy for people with dementia living in nursing homes

Background

The Quality of Life in Alzheimer’s disease scale (QoL-AD) is a widely used Health Related Quality of Life (HRQoL) instrument. However, studies investigating the instrument’s inter-rater reliability (IRR) are missing. This study aimed to determine the item distribution and IRR of the German proxy version of the QoL-AD (13 Items) and a nursing home-specific instrument version (QoL-AD NH, 15 Items).

Methods

The instruments were applied to 73 people with dementia living in eight nursing homes in Germany. Individuals with dementia were assessed two times by blinded proxy raters. The IRR analyses were based on methodological criteria of the quality appraisal tool for studies of diagnostic reliability (QAREL), the COSMIN group and the single-measure Intra-Class Correlation Coefficient (ICC) for absolute agreement ≥0.70.

Results

All items for both instrument versions demonstrated acceptable item difficulty, with the exception of one item (QoL-AD proxy). The IRR was moderate for the QoL-AD (ICC: 0.65) and insufficient for the QoL-AD NH (ICC: 0.18). The additional computation of the average measure ICC for two proxy-raters demonstrated a strong IRR (ICC: 0.79) for the QoL-AD and a weak IRR for the QoL-AD NH (ICC: 0.31). The detailed analysis of the IRR for each item underpinned the need for the further development of both instruments.

Conclusions

The unsatisfactory IRRs for both instruments highlight the need for the development of a user guide including general instructions for instrument application as well as definitions and examples reflecting item meaning. Priority should be given to the development of reliable proxy-person versions of both instruments.

Trial registration

ClinicalTrials.gov: NCT02295462, Date of registration: 11–20-2014.

Self-rated versus Caregiver-rated Health for Patients with Mild Dementia as Predictors of Patient Mortality

OBJECTIVE

Self-assessment of health is a strong and independent predictor of mortality for cognitively intact people. Because the ability of patients with dementia to rate their own health is questionable, caregiver-rated health for patients may serve as a proxy. The authors aimed to validate and compare self- and caregiver-rated health for patients with dementia as independent predictors of patient mortality.

METHODS

This was a post-hoc analysis of data from The Danish Alzheimer's Disease Intervention Study, a randomized controlled trial of psychosocial intervention for 330 patients with mild dementia and their caregivers with a 36-month follow-up. Patients and caregivers rated patients' health on the Euro Quality of Life Visual Analog Scale (EQ-VAS) from 0 (worst) to 100 (best). The ability of self- and caregiver-rated health for the patient to predict patient mortality was analyzed as hazard ratios (HRs) from Cox proportional hazard regression models, controlling for age, depression, comorbidities, functional level, quality of life, and randomization group.

RESULTS

Compared with the highest scores of 80-100, caregiver-rated EQ-VAS scores < 50 had an HR of 9.8 (95% CI: 2.9-33.1), scores between 50 and 64 had an HR of 3.8 (95% CI: 1.2-12.3), and scores between 65 and 79 had an HR of 4.6 (95% CI: 1.4-14.7). Self-rated EQ-VAS did not statistically significantly predict mortality.

CONCLUSION

Caregiver-rated health for patients with mild dementia using the EQ-VAS was shown to be an independent predictor of patient mortality with a dose-response pattern but patient-rated EQ-VAS was not.

Self-rated health, multimorbidity and depression in Mexican older adults: Proposal and evaluation of a simple conceptual model

INTRODUCTION

Self-rated health is an individual and subjective conceptualization involving the intersection of biological, social and psychological factors. It provides an invaluable and unique evaluation of a person's general health status.

OBJECTIVE

To propose and evaluate a simple conceptual model to understand self-rated health and its relationship to multimorbidity, disability and depressive symptoms in Mexican older adults.

MATERIALS AND METHODS

We conducted a cross-sectional study based on a national representative sample of 8,874 adults of 60 years of age and older. Self-perception of a positive health status was determined according to a Likert-type scale based on the question: "What do you think is your current health status?" Intermediate variables included multimorbidity, disability and depressive symptoms, as well as dichotomous exogenous variables (sex, having a partner, participation in decision-making and poverty). The proposed conceptual model was validated using a general structural equation model with a logit link function for positive self-rated health.

RESULTS

A direct association was found between multimorbidity and positive self-rated health (OR=0.48; 95% CI: 0.42-0.55), disability and positive self-rated health (OR=0.35; 95% CI: 0.30-0.40), depressive symptoms and positive self-rated health (OR=0.38; 95% CI: 0.34-0.43). The model also validated indirect associations between disability and depressive symptoms (OR=2.25; 95% CI: 2.01- 2.52), multimorbidity and depressive symptoms (OR=1.79; 95% CI: 1.61-2.00) and multimorbidity and disability (OR=1.98; 95% CI: 1.78-2.20).

CONCLUSIONS

A parsimonious theoretical model was empirically evaluated, which enabled identifying direct and indirect associations with positive self-rated health.