Dataset Information

Self-reported visual dysfunction in Parkinson disease: the Survey of Health, Ageing and Retirement in Europe.

ABSTRACT:

Background and purpose

Visual dysfunction is a non-motor symptom of Parkinson disease (PD), but its prevalence is unknown as population-based data on the epidemiology of visual symptoms in PD are lacking. The objective was to determine the prevalence of visual dysfunction in PD.

Methods

This was a cross-sectional analysis of data from adults ?50 years old in the Survey of Health, Ageing and Retirement in Europe (SHARE), a multinational population-based health survey of adults living in one of 27 European countries and Israel. PD diagnosis was self-reported. Impairment in overall, distance or near eyesight was defined as a score of 4 or 5 on a 1-5 scale. Adjusted logistic regression was used to determine the association between PD and self-reported vision.

Results

There were 115 240 age-eligible participants in the SHARE study (mean age 64.3 years, 54% female), of whom 1438 (1.25%) reported a diagnosis of PD. In adjusted logistic regression models, PD was associated with increased odds of impaired overall [odds ratio (OR) 2.67, 95% confidence interval (CI) 1.91-3.72], distance (OR 2.55, 95% CI 2.04-3.19) and near (OR 2.07, 95% CI 1.69-2.55) eyesight. Individuals with PD were also less likely to report having an eye examination within the previous 2 years (OR 0.59, 95% CI 0.38-0.92), but this did not remain statistically significant after adjusting for confounders (OR 0.76, 95% CI 0.47-1.24).

Conclusions

Visual dysfunction is significantly more common in PD than in the general adult population. Visual symptoms are a potentially under-recognized and under-treated source of reduced quality of life in PD patients that require further attention and study.

SUBMITTER: Hamedani AG

PROVIDER: S-EPMC7012725 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Self-reported visual dysfunction in Parkinson disease: the Survey of Health, Ageing and Retirement in Europe.

Hamedani A G AG Willis A W AW

European journal of neurology 20191019 3

<h4>Background and purpose</h4>Visual dysfunction is a non-motor symptom of Parkinson disease (PD), but its prevalence is unknown as population-based data on the epidemiology of visual symptoms in PD are lacking. The objective was to determine the prevalence of visual dysfunction in PD.<h4>Methods</h4>This was a cross-sectional analysis of data from adults ≥50 years old in the Survey of Health, Ageing and Retirement in Europe (SHARE), a multinational population-based health survey of adults livi ...[more]

PMID: 31571317

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Project description:BackgroundThe validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsistent self-reports of diabetes in a long panel study.MethodsSHARE (Survey of Health, Ageing and Retirement in Europe) includes 140,000 persons aged ≥ 50 years from 28 European countries and Israel. We used data from waves 1 to 7 (except wave 3) collected between 2004 and 2017. Diabetes was assessed by self-report. An inconsistent report for diabetes was defined as reporting the condition in one wave, but denying it in at least one later wave. The analysis data set included 13,179 persons who reported diabetes, and answered the question about diabetes in at least one later wave. Log-binomial regression models were fitted to estimate crude and adjusted relative risks (RR) with 95% confidence intervals (CI) for the associations between various exposure variables and inconsistent report of diabetes.ResultsThe proportion of persons with inconsistent self-reports of diabetes was 33.0% (95% CI: 32.2%-33.8%). Inconsistencies occurred less often in persons taking antidiabetic drugs (RR = 0.53 (0.53-0.56)), persons with BMI ≥ 35 kg/m2 versus BMI < 25 kg/m2 (RR = 0.70, (0.64-0.77)), and poor versus excellent subjective health (RR = 0.87 (0.75-1.01)). Inconsistencies occurred more often in older persons (RR = 1.15 (1.12-1.18) per 10 years increase of age), and persons not reporting their age at diabetes onset (RR = 1.38 (1.31-1.45)).ConclusionIn SHARE, inconsistent self-report of diabetes is frequent. Consistent reports are more likely for persons whose characteristics make diabetes more salient, like intake of antidiabetic medication, obesity, and poor subjective health. However, lack of attention in answering the questions, and poor wording of the items may also play a role.

Project description:BackgroundA frailty paradigm would be useful in primary care to identify older people at risk, but appropriate metrics at that level are lacking. We created and validated a simple instrument for frailty screening in Europeans aged ?50. Our study is based on the first wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, http://www.share-project.org), a large population-based survey conducted in 2004-2005 in twelve European countries.MethodsSubjectsSHARE Wave 1 respondents (17,304 females and 13,811 males).Measuresfive SHARE variables approximating Fried's frailty definition. Analyses (for each gender): 1) estimation of a discreet factor (DFactor) model based on the frailty variables using LatentGOLD. A single DFactor with three ordered levels or latent classes (i.e. non-frail, pre-frail and frail) was modelled; 2) the latent classes were characterised against a biopsychosocial range of Wave 1 variables; 3) the prospective mortality risk (unadjusted and age-adjusted) for each frailty class was established on those subjects with known mortality status at Wave 2 (2007-2008) (11,384 females and 9,163 males); 4) two web-based calculators were created for easy retrieval of a subject's frailty class given any five measurements.ResultsFemales: the DFactor model included 15,578 cases (standard R2 = 0.61). All five frailty indicators discriminated well (p < 0.001) between the three classes: non-frail (N = 10,420; 66.9%), pre-frail (N = 4,025; 25.8%), and frail (N = 1,133; 7.3%). Relative to the non-frail class, the age-adjusted Odds Ratio (with 95% Confidence Interval) for mortality at Wave 2 was 2.1 (1.4 - 3.0) in the pre-frail and 4.8 (3.1 - 7.4) in the frail. Males: 12,783 cases (standard R2 = 0.61, all frailty indicators had p < 0.001): non-frail (N = 10,517; 82.3%), pre-frail (N = 1,871; 14.6%), and frail (N = 395; 3.1%); age-adjusted OR (95% CI) for mortality: 3.0 (2.3 - 4.0) in the pre-frail, 6.9 (4.7 - 10.2) in the frail.ConclusionsThe SHARE Frailty Instrument has sufficient construct and predictive validity, and is readily and freely accessible via web calculators. To our knowledge, SHARE-FI represents the first European research effort towards a common frailty language at the community level.

Dataset Information

Self-reported visual dysfunction in Parkinson disease: the Survey of Health, Ageing and Retirement in Europe.

Background and purpose

Methods

Results

Conclusions

Publications

Self-reported visual dysfunction in Parkinson disease: the Survey of Health, Ageing and Retirement in Europe.

Similar Datasets

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