Browsing by Author "Conradsson, David Moulaee"

Now showing 1 - 4 of 4
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    Establishing accelerometer cut-points to classify walking speed in people post stroke
    (MDPI, 2022) Conradsson, David Moulaee; Bezuidenhout, Lucian John-Ross
    While accelerometers could be used to monitor important domains of walking in daily living (e.g., walking speed), the interpretation of accelerometer data often relies on validation studies performed with healthy participants. The aim of this study was to develop cut-points for waistand ankle-worn accelerometers to differentiate non-ambulation from walking and different walking speeds in people post stroke. Forty-two post-stroke persons wore waist and ankle accelerometers (ActiGraph GT3x+, AG) while performing three non-ambulation activities (i.e., sitting, setting the table and washing dishes) and while walking in self-selected and brisk speeds. Receiver operating characteristic (ROC) curve analysis was used to define AG cut-points for non-ambulation and different walking speeds (0.41–0.8 m/s, 0.81–1.2 m/s and >1.2 m/s) by considering sensor placement, axis, filter setting and epoch length. Optimal data input and sensor placements for measuring walking were a vector magnitude at 15 s epochs for waist- and ankle-worn AG accelerometers, respectively.
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    Factors influencing employment among people with spinal cord injury in South Africa
    (Taylor and Francis Group, 2022) Bezuidenhou, Lucian; Rhoda, Anthea; Conradsson, David Moulaee
    Theunemploymentratepostspinalcordinjury(SCI)in SouthAfricais highwithlimitedknow-ledgeof environmentalfactorsoutsidethehealthservices,especiallyin an unevenlydevelopedresourcesettinglikeSouthAfrica,affectingtheemploymentratein peoplewithSCI.Ourpurposewasto investi-gatefactorsassociatedwithemploymentin peoplewithSCIin SouthAfrica. TwohundredpersonswithSCIparticipatedin a cross-sectionalsurveydesign.Thisstudyformedpartof theInternationalSpinalCordInjuryCommunitySurvey.Subsectionsof thequestionnaireresponseswereusedas explanatoryvariablesto predictemploymentafterSCIusinglogisticregres-sionanalysis.
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    Levels and patterns of physical activity in stroke survivors with different ambulation status living in low-income areas of Cape Town, South Africa
    (Taylor & Francis, 2020) Joseph, Conran; Rhoda, Anthea; Conradsson, David Moulaee
    Little is known about physical activity (PA) in people with stroke living in low-income areas. The aim of this study was to characterize and contrast the levels and patterns of PA between stroke survivors with different ambulation status living in low-income areas in Cape Town, South Africa
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    The role of environmental factors on health conditions, general health and quality of life in persons with spinal cord injuries in South Africa
    (MDPI, 2023) Bezuidenhout, Lucian; Rhoda, Anthea; Conradsson, David Moulaee
    The objective was to describe the individual items of the environmental factors and to investigate the relationship between the environmental factors to health conditions, general health and quality of life in people with SCI in South Africa. Methods: Two hundred persons with SCI participated in a cross-sectional survey design. This study formed part of the International Spinal Cord Injury (InSCI) Community Survey. Four major domains, environmental factors, health conditions, general health and quality of life of the survey questionnaire responses, were used for the analysis. Regression models were used to determine the association between the independent variable, which consisted of the specific environmental factors items, and the dependent variables comprising health conditions, general health and quality of life. Results: The commonly reported environmental barriers were public access, lack of short- and long-distance transport and finances. Environmental factors such as public access (p < 0.001), short- (p < 0.001) and long-distance transport (p = 0.001), and friends’ (p = 0.003) and colleagues’ (p < 0.001) attitudes and communication (p = 0.042) were significantly associated with the presence of secondary health conditions. Finances (p = 0.026), family attitudes (p = 0.037) and communication (p = 0.039) had a significant association with worsened mental health. Services (p = 0.022) and communication (p = 0.042) were also significantly associated with decreased general health.