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To verify the psychometric properties of the Brazilian-Portuguese version of the Falls Behavioral (FaB-Brazil) Scale in Parkinson's disease (PD). Participants (n = 96) were assessed by disease-specific, self-report and functional mobility measures. Internal consistency of the FaB-Brazil scale was evaluated using Cronbach's alpha and inter-rater and test–retest reliability using intraclass correlation coefficients (ICC). The standard error of measurement (SEM), minimal detectable change (MDC), ceiling and floor effects, and convergent and discriminative validity were evaluated. Internal consistency was moderate (α = 0.77). Excellent inter-rater (ICC = 0.90; p < 0.001) and test–retest (ICC = 0.91; p < 0.001) reliability were found. The SEM was 0.20 and MDC was 0.38. Ceiling and floor effects were not found. Convergent validity was established by the positive correlations between the FaB-Brazil scale and age, modified Hoehn and Yahr, PD duration, Movement Disorders Society-Unified Parkinson's Disease Rating Scale, Motor Aspects of Experiences of Daily Living, Timed Up & Go and 8-item Parkinson's Disease Questionnaire, and negative correlations between the FaB-Brazil scale and community mobility, Schwab & England, and Activities-specific Balance Confidence scale. Females showed greater protective behaviors than males; recurrent fallers showed greater protective behaviors than non-recurrent fallers (p < 0.05). The FaB-Brazil scale is reliable and valid for assessing people with PD. Fall-related behaviors should be part of the fall risk assessment of community-dwelling people with Parkinson's disease. The Brazilian-Portuguese version of the Fall Behavioral (FaB-Brazil) Scale is reliable and valid for assessing everyday behaviors and actions related to falling in community-dwelling people with Parkinson's disease. The FaB-Brazil scale may be used to tailor individualized fall prevention programs. [ABSTRACT FROM AUTHOR]

Background: Falls are frequent in Parkinson's disease (PD), but there is lack of information about predictors of injurious falls. Objectives: To determine predictors of falls with injuries in people with PD; to compare circumstances and consequences of falls in single and recurrent fallers. Methods: Participants (n = 225) were assessed by disease‐specific, self‐report, and balance measures, and followed‐up for 12 months with a diary to record falls, their circumstances, and injuries. Univariate and multivariate analyses were performed. Circumstances and consequences of falls presented by single and recurrent fallers were compared. Results: A total of 805 falls were analyzed, 107 (13%) were falls with injuries. Multivariate logistic regression model revealed that greater PD duration and higher balance confidence were protective factors; better balance during gait, outdoor falls, and falls related to extrinsic factors were risk factors for falls with injuries, when compared to falls with no injuries. Multivariate multinomial regression model revealed that, when compared to zero fall, past falls and daily levodopa equivalent dose were predictors of falls with injuries; these predictors together with disability were predictors of falls with no injuries. Single falls (n = 27; 3%) were more common outdoors because of extrinsic factors, whereas recurrent falls (n = 778; 97%) were more common indoors because of intrinsic factors. Single falls led to more injuries than recurrent falls (P < 0.05). Conclusions: Different predictors of falls with injuries were obtained when different outcomes were compared. It should be noted that falls with injuries might be influenced by fall‐related activities and environmental factors. Single and recurrent falls differed on circumstances and consequences. [ABSTRACT FROM AUTHOR]

Background: Falls are a debilitating problem for people with Parkinson's disease (PD). Objectives: To compare clinical and functional characteristics of non-fallers, single and recurrent fallers (=2 falls); to determine predictors of time to second fall; and to develop a predictive tool for identifying people with PD at different categories of falls risk. Methods: Participants (n = 229) were assessed by disease-specific, self-report and balance measures and followed up for 12 months. Area under the receiver operating characteristic curves (AUC), Kaplan-Meier curves and log-rank test were performed. Selected predictors with p < 0.10 in univariate analysis were chosen to be entered into the Cox regression model. Results: Eighty-four (37%) participants had=2 falls during the follow-up. Recurrent fallers significantly differed from single fallers. The final Cox model included history of =2 falls in the past year (Hazard Ratio [HR] = 3.94; 95% confidence interval [CI] 2.26-6.86), motor fluctuations (HR = 1.91; 95% CI 1.12-3.26), UPDRS activities of daily living (ADL) (HR = 1.10 per 1 point increase; 95% CI 1.06-1.14) and levodopa equivalent dose (LED) (HR = 1.09 per 100 mg increase; 95% CI 1.02-1.16). A 3-predictor tool included history of =2 falls in the past year, motor fluctuations and UPDRS ADL >12 points (AUC= 0.84; 95% CI 0.78-0.90). By adding LED >700 mg/day and Berg balance scale =49 points, a 5-predictor tool was developed (AUC= 0.86; 95% CI 0.81-0.92). Conclusions: Two predictive tools with moderate-to-high accuracy may identify people with PD at low, medium and high risk of falling recurrently within the next year. However, future studies to address external validation are required. [ABSTRACT FROM AUTHOR]

Background: Predictors of falls in people with Parkinson's disease (PD) who have not previously fallen are yet to be identified. Objectives: We aimed to identify predictors of all falls and recurrent falls in people with PD who had not fallen in the previous year and to explore the timing of falls in a 12-month follow-up period. Methods: Participants withPD(n = 130) were assessed by disease-specific, self-report and balance measures. Falls were recorded prospectively for 12 months. Univariate and multivariate analyses were performed. Kaplan-Meier survival analysis was used to investigate time to falling. Results: Forty participants (31%) had≥1 fall during follow-up and 21 (16%) had≥2 falls. Disability, reduced balance confidence and greater concern about falling were associated with ≥1 fall in univariate analyses. Additionally, PD duration and severity, freezing of gait and impaired balance were associated with ≥2 falls (p < 0.05). Disability (Schwab and England scale, Odds Ratio [OR] = 0.56 per 10 points increase; 95% confidence interval [CI] 0.39–0.80; p = 0.002) was associated with ≥1 fall in the final multivariate model (area under the receiver operating characteristic curve [AUC] = 0.65; 95% CI 0.55–0.76; p = 0.005). Disability (Unified Parkinson's Disease Rating Scale activities of daily living, OR= 1.20; 95% CI 1.07–1.34; p = 0.001) and levodopa equivalent dose (OR = 1.11 per 100 mg increase; 95% CI 0.95–1.30; p = 0.19) were associated with ≥2 falls in the final multivariate model (AUC= 0.72; 95% CI 0.60–0.84; p = 0.001). Recurrent fallers experienced their first fall earlier than single fallers (p < 0.05). Conclusions: Self-reported disability was the strongest single predictor of all falls and recurrent falls. [ABSTRACT FROM AUTHOR]

Falls can be considered a disabling feature in Parkinson's disease.We aimed to identify risk factors for falling, testing simultaneously the ability of disease-specific and balance-related measures. We evaluated 171 patients, collecting demographic and clinical data, including standardized assessments with theUnified Parkinson's Disease Rating Scale (UPDRS), activities of daily living (ADL) and motor sections, modified Hoehn and Yahr Scale, Schwab and England, eight-item Parkinson's Disease Questionnaire, Activitiesspecific Balance Confidence Scale, Falls Efficacy Scale-International (FES-I), Berg Balance Scale, Dynamic Gait Index, Functional Reach, and Timed Up and Go. ROC curves were constructed to determine the cutoff scores for all measures. Variables with P < 0.1 entered a logistic regression model. The prevalence of recurrent falls was 30% (95% CI 24%-38%). In multivariate analysis, independent risk factors for recurrent falls were (P < 0.05) levodopa equivalent dose (OR = 1.283 per 100mg increase; 95% CI = 1.092-1.507), UPDRS-ADL > 16 points (OR = 10.0; 95% CI = 3.6-28.3), FES-I > 30 points (OR = 6.0; 95% CI = 1.6-22.6), and Berg ≤ 48 points (OR = 3.9; 95% CI = 1.2-12.7).We encourage the utilization of these modifiable risk factors in the screening of fall risk. [ABSTRACT FROM AUTHOR]