Return to Employment After Stroke in Young Adults

Author:

Jarvis Hannah L.1,Brown Steven J.1,Price Michelle2,Butterworth Claire3,Groenevelt Renee4,Jackson Karl5,Walker Louisa6,Rees Nia6,Clayton Abigail7,Reeves Neil D.1

Affiliation:

1. From the Department of Life Sciences, Research Centre for Musculoskeletal Science and Sports Medicine, Faculty of Science and Engineering, Manchester Metropolitan University, United Kingdom (H.L.J., S.J.B., N.D.R.)

2. Powys Teaching Health Board, Neuro Rehabilitation, Newtown Hospital, United Kingdom (M.P.)

3. Cardiff and Vale University Health Board, Physiotherapy, Llandough Hospital, United Kingdom (C.B.)

4. Hywel Dda University Health Board, Physiotherapy, Pembrokeshire, Wales, United Kingdom (R.G.)

5. Betsi Cadwaladr University Health Board, Physiotherapy, Ysbyty Gwynedd, Bangor, Wales, United Kingdom (K.J.)

6. Cwm Taf University Health Board, Physiotherapy Department, Keir Hardie Health Park, Merthyr Tydfil, Wales, United Kingdom (L.W., N.R.)

7. Abertawe Bro Morgannwg University Health Board, Therapy Services, Heol Maes Eglwys, Swansea, Wales, United Kingdom (A.C.).

Abstract

Background and Purpose— A quarter of individuals who experience a stroke are under the age of 65 years (defined as young adults), and up to 44% will be unable to return to work poststroke, predominantly because of walking difficulties. No research study has comprehensively analyzed walking performance in young adult’s poststroke. The primary aim of this study is to investigate how a stroke in young adults affects walking performance (eg, walking speed and metabolic cost) compared with healthy age-matched controls. The secondary aim is to determine the predictive ability of walking performance parameters for return to employment poststroke. Methods— Forty-six individuals (18–40 years: n=6, 41–54 years: n=21, 55–65 years: n=19) who have had a stroke and 15 healthy age-matched able-bodied controls were recruited from 6 hospital sites in Wales, United Kingdom. Type, location, cause of stroke, and demographic factors (eg, employment status) were recorded. Temporal and spatial walking parameters were measured using 3-dimensional gait analysis. Metabolic energy expenditure and metabolic cost of walking were captured during 3 minutes of walking at self-selected speed from measurements of oxygen consumption. Results— Stroke participants walked slower ( P <0.004) and less efficiently ( P <0.002) than the controls. Only 23% of stroke participants returned to employment poststroke. Walking speed was the strongest predictor (sensitivity, 0.90; specificity, 0.82) for return to work ( P =0.004) with a threshold of 0.93 m/s identified: individuals able to walk faster than 0.93 m/s were significantly more likely to return to work poststroke than those who walked slower than this threshold. Conclusions— This study is the first to capture walking performance parameters of young adults who have had a stroke and identifies slower and less efficient walking. Walking speed emerged as the strongest predictor for return to employment. It is recommended that walking speed be used as a simple but sensitive clinical indicator of functional performance to guide rehabilitation and inform readiness for return to work poststroke.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

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