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Gaceta Shat acepta para su publicación artículos en español e inglés. Nuevos costes de publicación a partir del 1 de febrero de SJR es una prestigiosa métrica basada en la idea de que todas las citaciones no son iguales. SJR usa un algoritmo similar al page rank de Google; es una medida cuantitativa y cualitativa al impacto th una publicación. The International Classification of Functioning, Disability and Health ICF advocates a multifactorial and multifaceted conceptualization of disability.
The assessment scheme was consistent with the ICF model of disability. Nine populations contributed probabilistic or geographically-defined samples following a two-phase screening design. We used logistic regression for the purposes of data combination, adjusted for age and sex in all analyses. Good access to social services was strongly associated with a low level or absence of disability OR: 0.
Very difficult access to services and having dementia or another psychiatric disorder were associated with an increase in disability OR: There was also a significant interaction effect dieability access to services and neurological disorders Wuat Disability is highly prevalent among the Spanish elderly and is influenced by causea, social diwability personal factors. Disability could potentially be reduced by ensuring access to social services, preventing dementia and stroke, and ehat depression.
El presente estudio analiza los principales determinantes médicos, ambientales y what are the causes of disability de la discapacidad grave y extrema en población anciana española siguiendo una evaluación congruente con el modelo CIF. Hubo una interacción significativa entre acceso a servicios y diagnóstico neurológico OR: 12, La accesibilidad a te servicios disabiity, la prevención de la demencia y del infarto cerebral, y el tratamiento de la depresión, pueden reducir whaat discapacidad entre los ancianos españoles.
The aging population in Spain is growing as a consequence of the low birth rate, increased life expectancy, and the low lethality of chronic diseases. Several studies have shown that specific diseases contribute to the disability status of the elderly population. Harwood et al 5 established that, although ADL dependence was to a greater extent attributable to disease-related oc dementia, depressionsocioeconomic determinants including housing standards, income and social support emotional and physical comfort provided by family and friends also contributed significantly.
What are the causes of disability these findings are promising, the literature on the tthe lacks a multi-faceted evaluation of disability and a more comprehensive analysis of the potential impact of environmental and social factors. Disability measurement approaches have focused narrowly on ADL or have used composite indices targeting sensory and cognitive disability.
In the ICF scheme, health conditions, environmental and personal factors are all potential diswbility of disability. In the present study we aimed to what is selection in population genetics the implementation of such a multifaceted and multifactorial approach to disability in an epidemiological screening survey.
The goal of the present study was to identify the associations among health conditions, environmental and personal factors with disability levels across the domains of activities and participation of the ICF. We initially what are the causes of disability the prevalence of dementia and disability in this population. The present study focuses on factors of disability. Participants were recruited from a recent Spanish epidemiological survey on aging conducted in June The study sample was composed meaning of relationship marketing in simple language probabilistic and geographically-defined subsamples.
More specifically, we obtained data on the prevalence of chronic geriatric, neurological and mental disorders from the principal investigators of nine studies conducted in Spain. Sampling continued until an average of 60 participants per location were recruited. Additional details of the sampling process in each location are provided what are the causes of disability table 1. The what are the causes of disability of participants to be sampled in each location was estimated by means of the mortality rates for the birth cohorts under study.
To avoid selection bias, the groups used their original tue sampling procedure. In locations with a life quotes for my love limited number of survivors, a new geographically-defined sample was obtained from selected city neighborhoods. Additional details on the sampling process are shown in table 1.
Cohorts cauees of elderly people living at home and in residential care and in rural and urban settings. Significant losses were caused by death and the inability to locate individuals during the sampling process fig. These circumstances what are the causes of disability death may not cause specific selection biases in a geographically-defined prevalent sample.
Dead and non-located individuals due to death or change of residence outside the geographic area were what are the causes of disability considered as part of the sampling frame. The duration of the follow-up from the prevalence date varied from 3 years for El Prat to 15 years for Gerona. Assessments were conducted causws two successive visits to the individual's home. In the first visit, we conducted all health-related assessments.
In the second visit, we retrieved all the information pertaining to personal and social factors see the assessments section. Geographical location and size of samples comprising the Spanish Epidemiological Survey on Aging. With permission from Acta Neurologica Scandinavica. Sample attrition by contributing superiority complex meaning in malayalam and results of case ascertainment modified from Acta Neurologica Scandinavica.
CB: census-based random sampling; GD: geographically-defined cohort. Sample attrition. We implemented a two-phase screening survey within a cross-sectional design. Since dementia is the health condition contributing the most to disability in the elderly 23 and is highly underdiagnosed wuat Spain, 24 simultaneous cognitive screening was also administered, what are the causes of disability the Spanish version of the Mini-Mental State Examination MMSE.
All participants signed a written informed consent document drafted in accordance with the guidelines in the Helsinki Declaration. The participants were visited twice at their home or nursing home. Further details on the diagnostic procedure for dementia and the study design are available in a methodological study published as part of the present project 11 and in a subsequent study focused solely on the prevalence of disability. Each item is scored on a 5-point Likert can you force someone into rehab in ny and establishes the difficulty experienced by the respondent in performing a given activity no problem, mild, moderate, severe, and extreme difficulty.
The scale has been translated to Spanish and adapted to the Spanish elderly population 27 showing appropriate data quality, acceptability, scale scores and internal disabiliyt Cronbach's alpha by domain: 0. Similar findings were reported in a validation study incorporating a global sample with chronic diseases, which also evaluated responsiveness and latent structure. Work items were omitted. Life activities items were not computed in participants with no household duties.
Finally, we decided not to compute item D4. Each domain and the complete scale generate a og index ranging from 1 todisabilitty higher scores arre greater disability. Morbidity was identified by licensed what are the causes of disability through direct medical examination and perusal of medical records on the basis of a pre-established list of prevalent diseases and health oc in the elderly cf.
These conditions were used as independent variables both individually and grouped under their respective International Classification of Diseases, 10th Revision ICD chapter: circulatory system angina pectoris, arrhythmia, myocardial infarction, heart failure, hypertension, otherrespiratory system asthma, chronic xisability pulmonary disease, otherinfectious diseases meningitis, poliomyelitis, tuberculosis, Lyme disease, othernervous system epilepsy, Parkinson's disease, othermusculoskeletal and injuries of external cause arthritis, arthrosis, osteoporosis, polymyalgia rheumatica, renal failure, bone fracture, vertebral lesionskin and subcutaneous tissue lupus, vasculitis, other disabillty, endocrine system diabetes type I and II, hyperthyroidism, hypothyroidism, othereye cataract, glaucoma, age-related macular degeneration, otherneoplasm, and mental and behavioral disorders depression, psychosis, what are the causes of disability, psychological distress, developmental disabilities, other.
Smoking was grouped with respiratory diseases. Cerebrovascular disease, brain damage and head trauma were grouped with neurological diseases. Morbidity was defined as the total wbat of identified conditions. Since very few participants had cause and effect meaning than one condition in a given category e.
Given what are the causes of disability strong impact of shat on disability, 31,32 the presence of depressive symptoms was assessed formally using the EURO-D scale. Binary logistic regression was used to identify disability-related factors, including health conditions either grouped or as specific diagnoses and personal and environmental variables. We defined the outcome variable of interest on the basis of the ICF level of disability: qhat with severe or extreme disability levels, and participants with no disability, low, or moderate disability.
This dichotomy divided the distribution of participants in two cuses sized groups, thus maximizing statistical power. In addition, several preliminary trials using ordinal logistic regression failed to generate proportional odds across the levels of the outcome variable. Interaction effects among strong independent variables were analyzed to support the identification of specific groups of individuals that were more likely to be disabled.
While we could have used several rank-ordered definitions of cases e. Our analytical strategy was guided by the ICF framework. Therefore, we developed two separate sets disabi,ity models based on logistic regression analysis. These two sets of models explored the three groups of disability factors that are prominent in the ICF, namely health conditions, personal factors, and environmental factors of disability. The first set of models examined health factors across disability domains using groups of clinical diagnoses as putative what are the causes of disability for health conditions.
These models were subsequently what are the causes of disability with specific prevailing diagnoses as independent variables; only prevalent conditions were used as independent variables. A second model incorporated independent variables of disability based on personal and environmental factors e. The ICF model allows for complex interactions among disability factors. Therefore, we conducted additional xre regression analyses incorporating health conditions, environmental and personal factors including interaction factors between them identified in the models initially obtained.
With this strategy we aimed to identify specific subgroups that were more likely to be whay. We entered all variables in the model whaat a single step without checking for significant effects a priori. Categories of clinical diagnoses were grouped thd to the ICD classification. Comorbidity in each group was added as an independent variable.
Specific health conditions used as independent variables in the subsequent model were selected based on the number of participants with the condition 20 or more. In the whar of personal and environmental factors, we selected a set of independent variables that are known predictors for numerous health outcomes education, social status, social contacts, municipality size, etc.
Finally, as indicated above, the examination of interaction effects was based on the performance of the selected variables in the causees model. Factors that were significantly associated with disability in single factor analyses were subsequently selected to study interaction. We examined the interaction of specific health conditions with environmental and personal what are the causes of disability in order to support the view that health what is a foundation course equivalent to can what is a connecting rod jointly with environmental and personal factors and affect disability.
Interaction analyses were aimed at identifying groups of individuals that were particularly disabled. First-degree interaction whwt were checked in subsequent models. Finally, we entered all variables deemed relevant in the model providing results in a single step. Otherwise, priority was given to interaction factors and reclassification in broader exposure categories. The final sample was composed of participants of which were positive to the disability screening and were negative.
Most participants were of rural origin. For grouped conditions, only mental and behavioral OR: 6. Notably, the category of mental and behavioral disorders was the only independent variable significantly associated with all domains of disability. Alzheimer's disease proved to have the strongest effect across all causez domains OR range: 4.