ORCID Profile
0000-0002-2231-8138
Current Organisation
Norges Teknisk-Naturvitenskapelige Universitet Fakultet for medisin og helsevitenskap
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Publisher: Springer Science and Business Media LLC
Date: 27-06-2019
Publisher: Springer Science and Business Media LLC
Date: 03-07-2018
Publisher: Elsevier BV
Date: 09-2020
Publisher: Oxford University Press (OUP)
Date: 03-10-2019
DOI: 10.1093/PTJ/PZZ132
Abstract: The Community Balance and Mobility Scale (CBM) has been shown to be reliable and valid for detecting subtle balance and mobility deficits in people who are 61 to 70 years of age. However, item redundancy and assessment time call for a shortened version. The objective was to create and validate a shortened version of the CBM (s-CBM) without detectable loss of psychometric properties. This was a cross-sectional study. Exploratory factor analysis with data from 189 young seniors (aged 61-70 years mean [SD] age = 66.3 [2.5] years) was used to create the s-CBM. Sixty-one young seniors (aged 61–70 years mean [SD] age = 66.5 [2.6] years) were recruited to assess construct validity (Pearson correlation coefficient) by comparing the CBM versions with Fullerton Advance Balance Scale, Timed Up-and-Go, habitual and fast gait speed, 8 Level Balance Scale, 3-m tandem walk, and 30-second chair stand test. Internal consistency (Cronbach α), ceiling effects, and discriminant validity (area under the curve [AUC]) between fallers and nonfallers, and self-reported high and low function (Late-Life Function and Disability Index) and balance confidence (Activities-Specific Balance Confidence Scale), respectively, were calculated. The s-CBM, consisting of 4 items, correlated excellently with the CBM (r = 0.97). Correlations between s-CBM and other assessments (r = 0.07-0.72), and CBM and other assessments (r = 0.06-0.80) were statistically comparable in 90% of the correlations. Cronbach α was .84 for the s-CBM, and .87 for the CBM. No CBM-version showed ceiling effects. Discriminative ability of the s-CBM was statistically comparable with the CBM (AUC = 0.66-0.75 vs AUC = 0.65-0.79). Longitudinal studies with larger s les should confirm the results and assess the responsiveness for detecting changes over time. The psychometric properties of the s-CBM were similar to those of the CBM. The s-CBM can be recommended as a valid and quick balance and mobility assessment in young seniors.
Publisher: S. Karger AG
Date: 13-12-2017
DOI: 10.1159/000485135
Abstract: b i Background: /i /b Early identification of people at risk of functional decline is essential for delivering targeted preventive interventions. b i Objective: /i /b The aim of this study is to identify and predict trajectories of functional decline over 9 years in males and females aged 60-70 years. b i Methods: /i /b We included 403 community-dwelling participants from the InCHIANTI study and 395 from the LASA study aged 60-70 years at baseline, of whom the majority reported no functional decline at baseline (median 0, interquartile range 0-1). Participants were included if they reported data on ≥2 measurements of functional ability during a 9-year follow-up. Functional ability was scored with 6 self-reported items on activities of daily living. We performed latent class growth analysis to identify trajectories of functional decline and applied multinomial regression models to develop prediction models of identified trajectories. Analyses were stratified for sex. b i Results: /i /b Three distinct trajectories were identified: no/little decline (219 males, 241 females), intermediate decline (114 males, 158 females), and severe decline (36 males, 30 females). Higher gait speed showed decreased risk of functional limitations in males (intermediate limitations, odds ratio [OR] 0.74, 95% CI 0.57-0.97 severe limitations, OR 0.42, 95% CI 0.26-0.66). The final model in males further included the predictors fear of falling and alcohol intake (no/little decline, area under the receiver operating curve [AUC] 0.68, 95% CI 0.62-0.73 intermediate decline, AUC 0.63, 95% CI 0.56-0.69 severe decline, AUC 0.79, 95% CI 0.71-0.87). In females, higher gait speed showed a decreased risk of intermediate limitations (OR 0.51, 95% CI 0.38-0.68) and severe limitations (OR 0.18, 95% CI 0.07-0.44). Other predictors in females were age, living alone, economic satisfaction, balance, physical activity, BMI, and cardiovascular disease (no/little decline, AUC 0.80, 95% CI 0.75-0.85 intermediate decline, AUC 0.74, 95% CI 0.69-0.79 severe decline, AUC 0.95, 95% CI 0.91-0.99). b i Conclusion: /i /b Already in people aged 60-70 years, 3 distinct trajectories of functional decline were identified in these cohorts over a 9-year follow-up. Predictors of trajectories differed between males and females, except for gait speed. Identification of people at risk is the basis for targeting interventions.
Publisher: BMJ
Date: 03-2019
DOI: 10.1136/BMJOPEN-2018-023526
Abstract: The European population is rapidly ageing. In order to handle substantial future challenges in the healthcare system, we need to shift focus from treatment towards health promotion. The PreventIT project has adapted the Lifestyle-integrated Exercise (LiFE) programme and developed an intervention for healthy young older adults at risk of accelerated functional decline. The intervention targets balance, muscle strength and physical activity, and is delivered either via a smartphone application (enhanced LiFE, eLiFE) or by use of paper manuals (adapted LiFE, aLiFE). The PreventIT study is a multicentre, three-armed feasibility randomised controlled trial, comparing eLiFE and aLiFE against a control group that receives international guidelines of physical activity. It is performed in three European cities in Norway, Germany, and The Netherlands. The primary objective is to assess the feasibility and usability of the interventions, and to assess changes in daily life function as measured by the Late-Life Function and Disability Instrument scale and a physical behaviour complexity metric. Participants are assessed at baseline, after the 6 months intervention period and at 1 year after randomisation. Men and women between 61 and 70 years of age are randomly drawn from regional registries and respondents screened for risk of functional decline to recruit and randomise 180 participants (60 participants per study arm). Ethical approval was received at all three trial sites. Baseline results are intended to be published by late 2018, with final study findings expected in early 2019. Subgroup and further in-depth analyses will subsequently be published. NCT03065088 Pre-results.
Publisher: S. Karger AG
Date: 2019
DOI: 10.1159/000499962
Abstract: b i Background: /i /b The Lifestyle-integrated Functional Exercise (LiFE) program is an intervention integrating balance and strength activities into daily life, effective at reducing falls in at-risk people ≥70 years. There is potential for LiFE to be adapted to young seniors in order to prevent age-related functional decline. b i Objective: /i /b We aimed to (1) develop an intervention by adapting Lifestyle-integrated Functional Exercise (aLiFE) to be more challenging and suitable for preventing functional decline in young seniors in their 60s and (2) perform an initial feasibility evaluation of the program. Pre-post changes in balance, mobility, and physical activity (PA) were also explored. b i Methods: /i /b Based on a conceptual framework, a multidisciplinary expert group developed an initial aLiFE version, including activities for improving strength, neuromotor performances, and PA. Proof-of-concept was evaluated in a 4-week pre-post intervention study measuring (1) feasibility including adherence, frequency of practice, adverse events, acceptability (i.e., perceived helpfulness, adaptability, level of difficulty of single activities), and safety, and (2) changes in balance/mobility (Community Balance and Mobility Scale) and PA (1 week activity monitoring). The program was refined based on the study results. b i Results: /i /b To test the initial aLiFE version, 31 young seniors were enrolled and 30 completed the study (mean age 66.4 ± 2.7 years, 60% women). Of a maximum possible 16 activities, participants implemented on average 12.1 ± 1.8 activities during the intervention, corresponding to mean adherence of 76%. Implemented activities were practiced 3.6–6.1 days/week and 1.8–7.8 times/day, depending on the activity type. One noninjurious fall occurred during practice, although the participant continued the intervention. The majority found the activities helpful, adaptable to in idual lifestyle, appropriately difficult, and safe. CMBS score increased with medium effect size (d = 0.72, i /i = 0.001). Increase in daily walking time (d = 0.36) and decrease in sedentary time (d = –0.10) were nonsignificant. Refinements included further increasing the task challenge of some strength activities and defining the most preferred activities in the trainer’s manual to facilitate uptake of the program. b i Conclusion: /i /b aLiFE has the potential to engage young seniors in regular lifestyle-integrated activities. Effectiveness needs to be evaluated in a randomized controlled trial.
Publisher: BMJ
Date: 10-2022
DOI: 10.1136/BMJOPEN-2021-054229
Abstract: Long-term adherence to physical activity (PA) interventions is challenging. The Lifestyle-integrated Functional Exercise programmes were adapted Lifestyle-integrated Functional Exercise (aLiFE) to include more challenging activities and a behavioural change framework, and then enhanced Lifestyle-integrated Functional Exercise (eLiFE) to be delivered using smartphones and smartwatches. To (1) compare adherence measures, (2) identify determinants of adherence and (3) assess the impact on outcome measures of a lifestyle-integrated programme. A multicentre, feasibility randomised controlled trial including participants aged 61–70 years conducted in three European cities. Six-month trainer-supported aLiFE or eLiFE compared with a control group, which received written PA advice. Self-reporting adherence per month using a single question and after 6-month intervention using the Exercise Adherence Rating Scale (EARS, score range 6–24). Treatment outcomes included function and disability scores (measured using the Late-Life Function and Disability Index) and sensor-derived physical behaviour complexity measure. Determinants of adherence (EARS score) were identified using linear multivariate analysis. Linear regression estimated the association of adherence on treatment outcome. We included 120 participants randomised to the intervention groups (aLiFE/eLiFE) (66.3±2.3 years, 53% women). The 106 participants reassessed after 6 months had a mean EARS score of 16.0±5.1. Better adherence was associated with lower number of medications taken, lower depression and lower risk of functional decline. We estimated adherence to significantly increase basic lower extremity function by 1.3 points (p .0001), advanced lower extremity function by 1.0 point (p .0001) and behavioural complexity by 0.008 per 1.0 point higher EARS score (F(3,91)=3.55, p=0.017) regardless of group allocation. PA adherence was associated with better lower extremity function and physical behavioural complexity. Barriers to adherence should be addressed preintervention to enhance intervention efficacy. Further research is needed to unravel the impact of behaviour change techniques embedded into technology-delivered activity interventions on adherence. NCT03065088 .
Publisher: MDPI AG
Date: 25-06-2018
DOI: 10.3390/S18072032
Location: Norway
No related grants have been discovered for Beatrix Vereijken.