The Impact of COVID-19 on Nursing Homes: Study Design and Population Description.

Nursing homes for the elderly in Spain have experienced high rates of infection and mortality from COVID-19, although rates have varied from one region to another. Madrid is the region where most institutionalized older adults have died from the coronavirus. However, there is little known about the psychosocial and environmental factors involved in the high incidence of COVID-19 among the institutionalised population in this region. This article describes the protocol of a study on nursing homes during the SARS-CoV-2 pandemic in the Autonomous Community of Madrid (hereafter: Region of Madrid or Madrid Region) and provides information on the study design, measures used, and characteristics of the population studied. A questionnaire about life in nursing homes during the COVID-19 pandemic was designed and a total of 447 persons over 60 years of age without cognitive impairment-220 in private nursing homes and 227 in public nursing homes-participated by answering questions about different topics: personal situations during the pandemic, feelings and methods of coping, residential environment, health, quality of life, ageism, and self-perception of ageing. The institutionalised person profile discussed in this study was an old woman, widowed, without children, with a low level of education, with multimorbidity, and who perceived her health and quality of life positively. Most of the participants were very concerned about COVID-19 and its effects. In fact, 38% had been diagnosed with COVID-19, of whom 20% were admitted to hospital and 20% had suffered negative impacts, such as pain and neurological problems. In addition, 70% of the residents remained confined to their rooms, which increased their perceptions of loneliness and social isolation. The worst-rated aspects of the nursing home resulted from the restrictive measures imposed on nursing homes during the pandemic. This research offers useful material for understanding the pandemic and its consequences from the perspective of the older institutionalised population, which could provide insights for designing public policies.

Residential Environment Assessment by Older Adults in Nursing Homes during COVID-19 Outbreak.

The most vulnerable residential settings during the COVID-19 pandemic were older adult's nursing homes, which experienced high rates of incidence and death from this cause. This paper aims to ascertain how institutionalized older people assessed their residential environment during the pandemic and to examine the differences according to personal and contextual characteristics. The COVID-19 Nursing Homes Survey (Madrid region, Spain) was used. The residential environment assessment scale (EVAER) and personal and contextual characteristics were selected. Descriptive and multivariate statistical analysis were applied. The sample consisted of 447 people (mean age = 83.8, 63.1% = women, 50.8% = widowed, 40% = less than primary studies). Four residential assessment subscales (relationships, mobility, residential aspects, privacy space) and three clusters according to residential rating (medium-high with everything = 71.5% of cases, low with mobility = 15.4%, low with everything = 13.1%) were obtained. The logistic regression models for each cluster category showed to be statistically significant. Showing a positive affect (OR = 1.08), fear of COVID-19 (OR = 1.06), high quality of life (OR = 1.05), not having suspicion of depression (OR = 0.75) and performing volunteer activities (OR = 3.67) were associated with the largest cluster. It is concluded that a better residential evaluation was related to more favourable personal and contextual conditions. These results can help in the design of nursing homes for older adults in need of accommodation and care to facilitate an age-friendly environment.

Active ageing profiles among older adults in Spain: A Multivariate analysis based on SHARE study.

BACKGROUND: Following the active ageing model based on the Health, Lifelong Learning, Participation and Security pillars, this research has a twofold objective: i) to classify older adults according to active ageing profiles, taking into account the four pillars, and ii) to ascertain the relationship between the profiles and personal and contextual factors, as well as well-being and quality of life in old age. METHODS: A study sample of 5,566 Spanish older adults who participated in wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) was included. Data were analysed in different steps applying several statistical analyses (Principal Component, Cluster, Discriminant, Multiple Correspondence and bivariate analysis with Pearson chi-square and ANOVA). RESULTS: Five older adult profiles were obtained (I: with moderate activity; II: quasi-dependents; III: with active ageing-limiting conditions; IV: with diverse and balanced activity; V: with excellent active ageing conditions). The first three profiles were characterised by subjects with a high average age, low educational level, who were retired or housewives, and who perceived a moderate level of loneliness, satisfaction with the social network and quality of life, as well as having a larger family network, but living in small households or alone. In contrast, the latter two profiles showed better personal and contextual conditions, well-being and quality of life. DISCUSSION AND CONCLUSIONS: The multidimensional approach to active ageing followed in this article has revealed the presence of several older adult profiles, which are confined to groups with better or worse active ageing conditions. In this context, if ageing is a process that reflects the previous way of life, intervention priorities will have to consider actions that promote better conditions during the life cycle.

Factor Analysis and Clustering of the Movement Disorder Society-Non-Motor Rating Scale.

BACKGROUND: The primary validation of the Movement Disorder Society Non-Motor Rating Scale was recently published, but 2 important structural analyses were not included. The objective of this study was to examine the structural characteristics of the Movement Disorder Society Non-Motor Rating Scale by factor and cluster analyses. METHODS: Data came from the validation study, an international multicenter cross-sectional study of 402 Parkinson's disease patients. Demographic and clinical data, the Movement Disorder Society Non-Motor Rating Scale, and Hoehn and Yahr staging were used. Exploratory and confirmatory factor analysis and nonhierarchical cluster analysis were performed. RESULTS: The exploratory factor analysis showed that all 13 domains of the Movement Disorder Society Non-Motor Rating Scale, except 1, and the Non-Motor Fluctuations subscale performed as unidimensional (variance explained: 0.36, sleep and wakefulness; -0.82, orthostatic hypotension). The confirmatory factor analysis could be carried out in 9 domains and showed that 6 of them and the Non-Motor Fluctuations subscale adjusted to the model satisfactorily according to the root mean square error of approximation. Furthermore, all domains had comparative fit index values >0.95, except depression and pain (both, 0.94) and sleep and wakefulness (0.90). The Non-Motor Fluctuations subscale showed satisfactory root mean square error of approximation (0.07), but a low comparative fit index value (0.91). A 5-cluster solution, correctly classifying 96% of the cases, was found. CONCLUSIONS: Overall, most subscales of the Movement Disorder Society Non-Motor Rating Scale are unidimensional, and although each subscale is distinct in terms of content covered, factors and clusters that are of clinical relevance are discernible and contribute to our understanding of possible nonmotor subtypes in Parkinson's disease. © 2020 International Parkinson and Movement Disorder Society.

Parkinson's Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline.

OBJECTIVE: The aim of this study is to present a predictive model of Parkinson's disease (PD) global severity, measured with the Clinical Impression of Severity Index for Parkinson's Disease (CISI-PD). METHODS: This is an observational, longitudinal study with annual follow-up assessments over 3 years (four time points). A multilevel analysis and multiple imputation techniques were performed to generate a predictive model that estimates changes in the CISI-PD at 1, 2, and 3 years. RESULTS: The clinical state of patients (CISI-PD) significantly worsened in the 3-year follow-up. However, this change was of small magnitude (effect size: 0.44). The following baseline variables were significant predictors of the global severity change: baseline global severity of disease, levodopa equivalent dose, depression and anxiety symptoms, autonomic dysfunction, and cognitive state. The goodness-of-fit of the model was adequate, and the sensitive analysis showed that the data imputation method applied was suitable. CONCLUSION: Disease progression depends more on the individual's baseline characteristics than on the 3-year time period. Results may contribute to a better understanding of the evolution of PD including the non-motor manifestations of the disease.

Self-Assessment of Disability in Parkinson's Disease: The MDS-UPDRS Part II Versus Clinician-Based Ratings.

BACKGROUND: Parkinson's disease (PD) is characterized by motor and nonmotor symptoms that progress with time, causing disability. The performance of a disease-specific, self-applied tool for assessing disability, the MDS-UPDRS Part II, is tested against generic and rater-based rating scales. METHODS: An international, cross-sectional, observational study was performed. Patients were assessed with the Hoehn and Yahr (HY) and five disability measures: MDS-UPDRS Part II, Schwab and England Scale (S&E), Clinical Impression of Severity Index-PD (CISI-PD) Disability item, Barthel Index (BI), and Rapid Assessment of Disability Scale (RADS). Data analysis included correlation coefficients, Mann-Whitney and Kruskal-Wallis tests, and intraclass-correlation coefficient for concordance. RESULTS: The sample was composed of 451 patients, 55.2% men, with a mean age of 65.06 years (SD = 10.71). Disability rating scales correlated from |0.75| (CISI-PD Disability with BI) to 0.87 (MDS-UPDRS Part II with RADS). In general, MDS-UPDRS Part II showed high correlation coefficients with clinical variables and satisfactory concordance with the rest of disability measures, with ICC ranging from 0.83 (with BI) to 0.93 (with RADS). All disability rating scales showed statistical significant differences in the sample grouped by sex, age, disease duration, and severity level. CONCLUSIONS: The MDS-UPDRS Part II showed an appropriate performance to assess disability in PD, even better than some rater-based, generic or specific, scales applied in this study.

Analysis of four scales for global severity evaluation in Parkinson's disease.

Global evaluations of Parkinson's disease (PD) severity are available, but their concordance and accuracy have not been previously tested. The present international, cross-sectional study was aimed at determining the agreement level among four global scales for PD (Hoehn and Yahr, HY; Clinical Global Impression of Severity, CGIS; Clinical Impression of Severity Index, CISI-PD; and Patient Global Impression of Severity, PGIS) and identifying which of them better correlates with itemized PD assessments. Assessments included additional scales for evaluation of the movement impairment, disability, affective disorders, and quality of life. Spearman correlation coefficients, weighted and generalized kappa, and Kendall's concordance coefficient were used. Four hundred thirty three PD patients, 66% in HY stages 2 or 3, mean disease duration 8.8 years, were analyzed. Correlation between the global scales ranged from 0.60 (HY with PGIS) to 0.91 (CGIS with CISI-PD). Kendall's coefficient of concordance resulted 0.76 (P<0.0001). HY and CISI-PD showed the highest association with age, disease duration, and levodopa-equivalent daily dose, and CISI-PD with measures of PD manifestations, disability, and quality of life. PGIS and CISI-PD correlated similarly with anxiety and depression scores. The lowest agreement in classifying patients as mild, moderate, or severe was observed between PGIS and HY or CISI-PD (58%) and the highest between CGIS and CISI-PD (84.3%). The four PD global severity scales agree moderately to strongly among them; clinician-based ratings estimate PD severity, as established by other measures, better than PGIS; and the CISI-PD showed the highest association with measures of impairment, disability, and quality of life.

Active ageing and quality of life: factors associated with participation in leisure activities among institutionalized older adults, with and without dementia.

OBJECTIVES: Active ageing, considered from the perspective of participation in leisure activities, promotes life satisfaction and personal well-being. The aims of this work are to define and explain leisure activity profiles among institutionalized older adults, considering their sociodemographic characteristics and objective and subjective conditions in relation to their quality of life. METHODS: Two samples of institutionalized people aged 60 and over were analysed together: 234 older adults without dementia and 525 with dementia. Sociodemographic, economic, family and social network, and health and functioning variables were selected. Cluster analysis was applied to obtain activity profiles according to the leisure activities, and ordinal regression models were performed to analyse factors associated to activity level. RESULTS: The sample was clustered into three groups of people: active (27%), moderately active (35%) and inactive people (38%). In the final regression model (Nagelkerke pseudo R(2) = 0.500), a higher level of activity was associated with better cognitive function (Pfeiffer scale), self-perceived health status and functional ability, as well as with a higher frequency of gathering with family and friends, and higher educational level. CONCLUSION: The decline in physical and mental health, the loss of functional capabilities and the weakening of family and social ties represent a significant barrier to active ageing in a context of institutionalization.

Parkinson's disease severity levels and MDS-Unified Parkinson's Disease Rating Scale.

BACKGROUND: Severity of PD is usually assessed by means of the motor and disability-based Hoehn and Yahr staging (HY), or clinician and patient global perceptions. Scores of more detailed assessments, as the MDS-UPDRS, have not been translated to a grading that allows assignment of score sections to severity levels. The objective of the present study is to determine cut-off points for PD severity levels based on the MDS-UPDRS. METHODS: International, observational study. Applied assessments were: HY, MDS-UPDRS, Clinical Impression for Severity Index, and Clinical and Patient Global Impression of Severity. The coincidence in severity level (mild, moderate, severe) of at least two clinical classifications plus the patient's gradation was considered "the criterion of severity". Cut-off values for each MDS-UPDRS subscale was determined by triangulation of: 1) percentile 90 of the subscale total score; 2) receiver operating characteristic (ROC) analysis; and 3) ordinal logistic regression (OLR) model. RESULTS: Sample was composed of 452 consecutive PD patients without dementia, 55.3% males, age 65.1 ± 10.7 years and PD duration 8.7 ± 6.3 years. All HY stages were represented. The "criterion", classified 275 patients (60.8% of the sample) as: mild PD, 149 (54.2%); moderate, 82 (29.8%); and severe, 44 (16%). The following MDS-UPDRS cut-off points between mild/moderate and moderate/severe levels were found: Part 1: 10/11 and 21/22; Part 2: 12/13 and 29/30; Part 3: 32/33 and 58/59; and Part 4: 4/5 and 12/13. CONCLUSION: Cut-off points to classify PD patients as mild, moderate, or severe on the basis of their MDS-UPDRS scores are proposed.

The MDS-UPDRS Part II (motor experiences of daily living) resulted useful for assessment of disability in Parkinson's disease.

OBJECTIVE: To evaluate the motor experiences of daily living section of the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS M-EDL) for assessing disability in PD patients; to determine the association between disability and quality of life; and to identify cut-off score ranges for no, mild, moderate and severe disability with this measure. METHODS: International, observational, cross-sectional study of 435 PD patients, assessed with: MDS-UPDRS, Hoehn and Yahr staging, Rapid Assessment of Disability Scale, Clinical Impression of Severity Index for PD, Parkinson's Disease Questionnaire-8 and EQ-5D. Descriptive statistics, Spearman's rank correlation coefficients, Kruskal-Wallis test for group comparisons, ordinal logistic regression analysis for setting cut-off values and a step-wise multiple linear regression model were calculated. RESULTS: MDS-UPDRS M-EDL correlated 0.70-0.80 with other disability measures, and -0.46 to 0.74 with quality of life scales. Scores significantly increased with higher disease duration and severity (p < 0.001). Cut-off values for the M-EDL were: 0-2 points, no disability; 3-16, mild; 17-31, moderate; and 32 points or more, severe. Linear regression analysis identified the MDS-UPDRS nM-EDL section as the main determinant of M-EDL, followed by the rest of MDS-UPDRS sections (explained variance: 59%). CONCLUSIONS: MDS-UPDRS M-EDL proved to be useful for assessing disability in PD.

[Sociodemographic and health factors explaining emotional wellbeing as a quality of life domain of older people in Madrid, Spain. 2005]. / Factores sociodemográficos y de salud en el bienestar emocional como dominio de calidad de vida de las personas mayores en la Comunidad de Madrid. 2005.

BACKGROUND: The study of the emotional state and personal coping resources has drawn an increasing interest in the Quality of Life (QoL) field. Diverse researches have demonstrated its contribution to satisfaction with life, and the interconnection with other life domains of great importance in ageing, as health is. The aim of this work is to analyze the relationships of emotional wellbeing (in terms of affects and coping resources) with sociodemographic and health factors. METHODS: A survey on QoL among older people living in family housing of Madrid province (CadeViMa-2005) was used. Multivariate analyses were applied for generating an indicator of emotional wellbeing which integrated positive and negative affects, as well as personal coping resources. A logistic regression model was created to explain a positive emotional wellbeing, according to sociodemographic and health characteristics. RESULTS: People without anxiety or depression problems were around three times more likely to evaluate their emotional wellbeing positively than those who had problems. Older adults whose health was better than in the previous 12 months, seemed to be five times more likely to report a high emotional wellbeing, compared to those who experienced a health decline. Individuals with a very good perceived health status were 26 times more likely of having a high emotional wellbeing than people with a negative health perception. Those with middle and upper social class were three times more likely to experience a positive emotional wellbeing than those belonging to a low social class. CONCLUSIONS: Health greatly influences emotional wellbeing with a relevant role of the subjective experience of health, together with social class as an indicator of educational level and socioeconomic status.

Burden, perceived health status, and mood among caregivers of Parkinson's disease patients.

The objective of this study is to describe the characteristics of the caregivers of patients with Parkinson's disease (PD) and to analyze the association between these characteristics and caregiver burden, perceived health and mood status, and identify their predictors. A multicenter, nationwide, observational, cross-sectional study that included 289 patient-caregiver pairs was conducted. Caregiver self-assessments were the Hospital Anxiety and Depression Scale (HADS), EuroQol (EQ), and Zarit Caregiver Burden Inventory (ZCBI). Most caregivers in the study were women aged 60 years or thereabouts. Over two thirds were gainfully employed or housewives, 75% were patients' spouses, and the majority (96.5%) had been permanently taking care of the patient for 6 +/- 5.4 years. Less than 5% of patients were in the most advanced stages of disease, and direct costs were 6,350 euros per patient per year. Caregivers had more mood disorders and worse health-related quality of life (HRQol; EQ-Tariff) than did the general population. Caregiver HADS and EuroQol scores displayed a weak correlation (r(S) = 0.01-0.28) with patient-related variables (disease duration, HY, SCOPA-Motor, SCOPA-AUT, HADS, PPRS, and CISI-PD) whereas the ZCBI correlated moderately (r(S) = 0.27-0.47). Among caregivers, the EQ-Tariff was significantly lower and the HADS-Anxiety scores significantly higher for women. ZCBI and HADS-depression, though not EuroQol and HADS-anxiety, scores significantly increased with increasing PD severity levels. Caregivers' affective status proved the most important factor influencing their burden and perceived health, whereas patient-related variables influenced caregiver burden and mood but not health status. In PD, prevalence of affective disorders among patients' caregivers is high and influences both burden and HRQoL.

Factores sociodemográficos y de salud en el bienestar emocional como dominio de calidad de vida de las personas mayores en la Comunidad de Madrid, 205 / Sociodemographic and health factors explaining emotional wellbeing as a quality of life domain of older people in Madrid, Spain. 2005

Fundamento: El estudio del estado emocional y los recursos personales para afrontar la vida ha manifestado un interés creciente en el campo de la Calidad de Vida (CdV), dando lugar a investigaciones que evidencian su contribución en la satisfacción con la vida, y su interrelación con dimensiones como la salud, de gran relevancia en la vejez. El objetivo de este trabajo es relacionar el bienestar emocional (en términos de sentimientos y recursos de afrontamiento) con factores sociodemográficos y de salud. Métodos: Se utilizó una encuesta sobre CdV de población mayor residente en vivienda familiar de la Comunidad de Madrid (CadeViMa-2005). Se aplicaron técnicas de análisis multivariante para crear un indicador de bienestar emocional que integró tanto sentimientos positivos y negativos como recursos personales para afrontar la vida. Se realizó un modelo de regresión logística para estimar la probabilidad de tener un bienestar emocional positivo sobre la base de características sociodemográficas y de salud. Resultados: Las personas sin problemas de ansiedad o depresión, mostraron cerca de tres veces más probabilidades de valorar positivamente su bienestar emocional que quienes padecían esos problemas. Los mayores que experimentaron una mejora en su salud en relación con los últimos 12 meses indicaron una probabilidad superior a cinco veces de tener un alto bienestar emocional que aquellos que sufrieron un empeoramiento en su salud. Quienes valoraron su salud como muy buena, reflejaron una probabilidad 26 veces mayor de tener un alto bienestar emocional que quienes percibieron su salud negativamente. La clases sociales media y superiores, mostraron mayores probabilidades de experimentar un bienestar emocional positivo, tres veces por encima de quienes pertenecían a una clase social baja. Conclusiones: La salud constituye un factor de gran influencia sobre el bienestar emocional, con un papel esencial de la experiencia subjetiva de la salud en su explicación, contribuyendo también la clase social, como indicador del nivel educativo y de la situación socioeconómica (AU)

Background: The study of the emotional state and personal coping resources has drawn an increasing interest in the Quality of Life (QoL) field. Diverse researches have demonstrated its contribution to satisfaction with life, and the interconnection with other life domains of great importance in ageing, as health is. The aim of this work is to analyze the relationships of emotional wellbeing (in terms of affects and coping resources) with sociodemographic and health factors. Methods: A survey on QoL among older people living in family housing of Madrid province (CadeViMa-2005) was used. Multivariate analyses were applied for generating an indicator of emotional wellbeing which integrated positive and negative affects, as well as personal coping resources. A logistic regression model was created to explain a positive emotional wellbeing, according to sociodemographic and health characteristics. Results: People without anxiety or depression problems were around three times more likely to evaluate their emotional wellbeing positively than those who had problems. Older adults whose health was better than in the previous 12 months, seemed to be five times more likely to report a high emotional wellbeing, compared to those who experienced a health decline. Individuals with a very good perceived health status were 26 times more likely of having a high emotional wellbeing than people with a negative health perception. Those with middle and upper social class were three times more likely to experience a positive emotional wellbeing than those belonging to a low social class. Conclusions: Health greatly influences emotional wellbeing with a relevant role of the subjective experience of health, together with social class as an indicator of educational level and socioeconomic status (AU)