Publications of Sophie GILLAIN
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See detailThe phenomenon of fear of falling among elders aged 65 and over
Léonard, Christina ULiege; SCHMITZ, Xavier ULiege; Adam, Stéphane ULiege et al

Poster (2019, October 18)

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See detailFear of falling and its correlates among people aged 65 and over
Léonard, Christina ULiege; SCHMITZ, Xavier ULiege; Adam, Stéphane ULiege et al

Poster (2019, May 14)

Fear of falling (FoF) is a real public health problem among elders. Indeed, this multi-determined phenomenon is highly prevalent in the elderly and leads to several negative physical and psychological ... [more ▼]

Fear of falling (FoF) is a real public health problem among elders. Indeed, this multi-determined phenomenon is highly prevalent in the elderly and leads to several negative physical and psychological consequences. Therefore, identify elders at risk of experiencing this fear is essential. By means of a two-year longitudinal study, we examined the relationships between different variables (i.e., sociodemographic, physical, psychological and cognitive variables) and FoF among 92 elders aged 65 and over. All participants were assessed twice (i.e., at the beginning and at the end of the study) with besides quarterly calls in order to report falls. We conducted univariate and multivariate logistic regression analyses. As expected, our multivariate model showed that a prior history of falls is a significant predictor of FoF. We also pointed out a higher tendency among women to experience FoF than among men. Furthermore, we showed, through univariate analyses, significant relationships between mood assessment and FoF. Moreover, our work attempted, in an originally way, to study the influences of subjective aging on FoF. Some results from the univariate analyses (e.g., participants with less positive attitudes towards the ageing process tend to experience more FoF) encourage researchers to carry out other studies in this direction. [less ▲]

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See detailUsing supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study
Gillain, Sophie ULiege; Boutaayamou, Mohamed ULiege; Schwartz, Cédric ULiege et al

in Experimental Gerontology (2019), 127(first online),

Introduction: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between ... [more ▼]

Introduction: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, accurate tools to predict individual risk among independent older adults without a history of falls are lacking. Objective: This study aimed to apply a supervised learning algorithm to a data set recorded in a two-year longitudinal study, in order to build a classification tree that could discern subsequent fallers based on their gait patterns. Methods: A total of 105 adults aged >65 years, living independently at home and without a recent fall history were included in a two-year longitudinal study. All underwent physical and functional assessment. Gait speed, stride length, frequency, symmetry and regularity, and minimum toe clearance were recorded in comfortable, fast and dual task walking conditions in a standardized laboratory environment. Fall events were recorded using personal falls diaries. A supervised machine learning algorithm (J48) has been applied to the data recorded at inclusion in order to obtain a classification tree able to identify future fallers. Results: Based on fall information from 96 volunteers, a classification tree correctly identifying 80% of future fallers based on gait patterns, gender, and stiffness, was obtained, with accuracy of 84%, sensitivity of 80%, specificity of 87%, a positive predictive value of 78%, and a negative predictive value of 88%. Discussion: While the performances of the classification tree warrant further confirmation, it is the first predictive tool based on gait parameters that are identified (not clustered) allowing its use by other research teams. Conclusion: This original longitudinal pilot study using a supervised machine learning algorithm, shows that gait parameters and clinical data can be used to identify future fallers among independent older adults. © 2019 Elsevier Inc. [less ▲]

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See detailGait symmetry in the dual task condition as a predictor of future falls among independent older adults: a 2-year longitudinal study
GILLAIN, Sophie ULiege; Boutaayamou, Mohamed ULiege; Schwartz, Cédric ULiege et al

in Aging Clinical and Experimental Research (2019), 31(8), 1057-1067

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See detailAssessing gait parameters with accelerometer-based methods to identify older adults at risk of falls: a systematic review
GILLAIN, Sophie ULiege; Boutaayamou, Mohamed ULiege; Beaudart, Charlotte ULiege et al

in European Geriatric Medicine (2018), 9

Purpose The purpose of this study was to perform a systematic review to assess the utility of accelerometric methods to identify older adults at risk of falls. Methods The Preferred Reporting Item for ... [more ▼]

Purpose The purpose of this study was to perform a systematic review to assess the utility of accelerometric methods to identify older adults at risk of falls. Methods The Preferred Reporting Item for Systematic review and Meta-Analysis (PRISMA) guidelines were followed during all steps of this systematic review. Cross sectional and longitudinal studies assessing gait parameters in older adults using accelerometric devices, and comparing groups based on the risk of falls or fall history were identified from studies published in the MEDLINE, SCOPUS and Cochrane Database of Systematic Reviews databases between January 1996 and January 2017. Study selection and data extraction were performed independently by two reviewers. The quality of the methodology used in the studies included was assessed using the Newcastle–Ottawa Scale. Results In total, 354 references were identified through the database search. After selection, ten studies were included in this systematic review. According to the cross sectional studies, people who fall or are at risk of fall are slower, and walk with shorter steps, lower step frequency, worse stride and step regularity in terms of time, position and acceleration profiles. One longitudinal study suggests considering harmonic ratio of upper trunk acceleration in the vertical plane. Two other longitudinal studies highlight the importance of considering more than one gait parameter, and sophisticated statistical tools to discern older adults at risk for future fall(s). Conclusion This systematic review essentially highlights the lack of available literature providing strong evidence that gait parameters obtained using acceleration-based methods could be useful to discern older people at risk of fall. Available literature is encouraging, but further high quality studies are needed to highlight the cross-sectional and longitudinal relationships between gait parameters and falls in older adults. [less ▲]

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See detailValidated assessment of gait sub-phase durations in older adults using an accelerometer-based ambulatory system
Boutaayamou, Mohamed ULiege; GILLAIN, Sophie ULiege; Schwartz, Cédric ULiege et al

in Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) (2018)

Validated extraction of gait sub-phase durations using an ambulatory accelerometer-based system is a current unmet need to quantify subtle changes during the walking of older adults. In this paper, we ... [more ▼]

Validated extraction of gait sub-phase durations using an ambulatory accelerometer-based system is a current unmet need to quantify subtle changes during the walking of older adults. In this paper, we describe (1) a signal processing algorithm to automatically extract not only durations of stride, stance, swing, and double support phases, but also durations of sub-phases that refine the stance and swing phases from foot-worn accelerometer signals in comfortable walking of older adults, and (2) the validation of this extraction using reference data provided by a gold standard system. The results show that we achieve a high agreement between our method and the reference method in the extraction of (1) the temporal gait events involved in the estimation of the phase/sub-phase durations, namely heel strike (HS), toe strike (TS), toe-off (TO), maximum of heel clearance (MHC), and maximum of toe clearance (MTC), with an accuracy and precision that range from ‒3.6 ms to 4.0 ms, and 6.5 ms to 12.0 ms, respectively, and (2) the gait phase/sub-phase durations, namely stride, stance, swing, double support phases, and HS to TS, TO to MHC, MHC to MTC, and MTC to HS sub-phases, with an accuracy and precision that range from ‒4 ms to 5 ms, and 9 ms to 15 ms, respectively, in comfortable walking of a thirty-eight older adults ( (mean ± standard deviation) 71.0 ± 4.1 years old). This demonstrates that the developed accelerometer-based algorithm can extract validated temporal gait events and phase/sub-phase durations, in comfortable walking of older adults, with a promising degree of accuracy/precision compared to reference data, warranting further studies. [less ▲]

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See detailUsage des statines en gériatrie : quid de la dé-prescription
GILLAIN, Sophie ULiege; PETERMANS, Jean ULiege

Scientific conference (2017, May)

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See detailPrevalence of Frailty in Nursing Home Residents According to Various Diagnostic Tools
Buckinx, Fanny ULiege; Reginster, Jean-Yves ULiege; GILLAIN, Sophie ULiege et al

in Journal of Frailty and Aging (2017), 6(3), 122-8

Background: Although the theoretical foundations of frailty are well established in the literature, it remains an evolving concept lacking any unique definition or diagnostic criteria for use in clinical ... [more ▼]

Background: Although the theoretical foundations of frailty are well established in the literature, it remains an evolving concept lacking any unique definition or diagnostic criteria for use in clinical practice and epidemiological research. No consensus exists about the accurate prevalence rates of frailty. The various operational definitions of frailty can at least partly explain such discrepancies. Objective: To compare the prevalence of frailty, measured with different diagnostic tools, among elderly nursing home residents. Design: This is an analysis of baseline data collected among the SENIOR (Sample of Nursing home Elderly Individuals: an Observational Research) cohort. Setting: Nursing homes. Population: A total of 662 volunteer subjects from 28 nursing homes were included in this analysis. Among them, the mean age was 83.2 ± 8.99 years and 484 (72.5%) of them were women. Measurement: The percentages of frail and non-frail subjects were calculated according to 10 different definitions. Results: Prevalence of frailty varies from 1.70% (Frailty Index) to 76.3% (Groningen Frailty Indicator) depending on the tool used. Conclusions: The prevalence of frailty is highly dependent on the diagnostic tool used. It would be necessary to reach a consensus on which diagnostic tools to use if one wishes to have comparable data obtained in epidemiological studies. [less ▲]

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See detailPrevalence of concomitant bone and muscle wasting in elderly women from the SarcoPhAge cohort: preliminary results
Locquet, Médéa ULiege; Beaudart, Charlotte ULiege; Reginster, Jean-Yves ULiege et al

in Journal of Frailty and Aging (2017), 6(1), 18-23

Background: Recent studies suggest that bone and muscle wasting are closely interconnected. Objective: The aim was of this study is to assess the prevalence of osteoporosis in a population of women ... [more ▼]

Background: Recent studies suggest that bone and muscle wasting are closely interconnected. Objective: The aim was of this study is to assess the prevalence of osteoporosis in a population of women diagnosed with sarcopenia. Participants, setting and design: We analyzed cross-sectional data of women, aged 65 years and above, for whom bone mineral density was available at the time of inclusion in the SarcoPhAge (Sarcopenia and Physical impairment with advancing Age) cohort, an ongoing prospective study with the aim to assess consequences of sarcopenia. Measurements: Muscle strength was evaluated with a hydraulic hand-dynamometer, appendicular lean mass and bone mineral density by Dual-Energy X-Ray Absorptiometry and physical performance by the Short Physical Performance Battery test (SPPB). Sarcopenia was diagnosed according to the European Working Group on Sarcopenia in Older People definition, i.e. a low muscle mass plus either low muscle strength or low physical performance. A bone mineral density T-score equal to or below -2.5SD at the lumbar spine, at the total hip or at the femoral neck was used to define osteoporosis (World Health Organization definition). Results: A total of 126 women aged 74.38±6.32 years were included. Among them, 26 were assessed with sarcopenia (20.6%) and 34 (27.0%) with osteoporosis. There were more osteoporotic women among sarcopenic subjects (46.1%) than among non-sarcopenic subjects (22.0%) (p-value=0.011). A significant lower appendicular lean mass index was observed in osteoporotic women (p-value=0.025). We also observed, in osteoporotic subjects, a lower muscle strength (p-value=0.023). Numerical values of bone mineral density were lower in the sarcopenic population but the differences did not reach the level of statistical significance. Conclusion: Our study demonstrated that muscle mass and strength are lower in patients with osteoporosis. Prospective changes in bone and muscle mass will be investigated during the follow-up of our cohort. [less ▲]

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See detailData set of healthy old people assessed for three walking conditions using accelerometric and opto-electronic methods
GILLAIN, Sophie ULiege; Boutaayamou, Mohamed ULiege; Dardenne, Nadia ULiege et al

in Aging Clinical and Experimental Research (2017), 29(6), 1201-1209

Background Gait patterns of healthy aging are needed to allow a comparison with pathological situations. However, little data is available. Objective To present gait pattern of healthy older specially ... [more ▼]

Background Gait patterns of healthy aging are needed to allow a comparison with pathological situations. However, little data is available. Objective To present gait pattern of healthy older specially selected to be “healthy walkers”. Method Fifty-seven older people benefited from a geriatric assessment including clinical and functional evaluations to include only those without gait disorders. Gait data were simultaneously recorded using a tri-axial accelerometer placed on the waist and four 3D position markers placed on the feet at the level of the heel and the toe. Volunteers walked at comfortable self-selected speed (CW), fast self-selected speed (FW), and finally in dual task walking condition (DTW). The extracted gait parameters were: gait speed, stride length, stride frequency, regularity and symmetry, swing, stance and double support time and ratio and minimum toe clearance. Gait speed and stride length were normalized to the right leg length. Results Fifty-seven older people with a mean age of 69.7 ± 4.2 years old (range from 65 to 82 years) were included. Data were analyzed according to the gender and according to the age (<70 or ≥70 years old). After normalization to leg length, the main significant differences were shown for stride length and minimum toe clearance in CW, FW and in DTW that were shorter in women. The regularity in FW was significantly lower among older volunteers. Conclusions This work provides a data set considering 14 gait parameters obtained from 57 healthy old people strictly selected and assessed for three walking conditions and shows that GS, SL and MTC have to be related to the gender. The age-related impact on gait performances appears reduced in this cohort. [less ▲]

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See detailGuidelines for assessment of gait and reference values for spatiotemporal gait parameters in older adults; the biomathics and canadian gait consoritums initiative
BEAUCHET, Olivier; ALLALI, G; SEKHON, H et al

in Frontiers in Human Neuroscience (2017), 11

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