Jane Hislop
Queen Margaret University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jane Hislop.
Archives of Disease in Childhood | 2008
John J. Reilly; V. Penpraze; Jane Hislop; Gwyneth Davies; Stanley Grant; James Y. Paton
Objective methods are being used increasingly for the quantification of the amount of physical activity, intensity of physical activity and amount of sedentary behaviour in children. The accelerometer is currently the objective method of choice. In this review we address the advantages of objective measurement compared with more traditional subjective methods, notably the avoidance of bias, greater confidence in the amount of activity and sedentary behaviour measured, and improved ability to relate variation in physical activity and sedentary behaviour to variation in health outcomes. We also consider unresolved practical issues in paediatric accelerometry by critically reviewing the existing evidence and by providing new evidence.
Physiological Measurement | 2014
Jane Hislop; James Law; Robert Rush; Andrew Grainger; Catherine Bulley; John J. Reilly; Tom Mercer
The purpose of this study was to determine the number of hours and days of accelerometry data necessary to provide a reliable estimate of habitual physical activity in pre-school children. The impact of a weekend day on reliability estimates was also determined and standard measurement days were defined for weekend and weekdays.Accelerometry data were collected from 112 children (60 males, 52 females, mean (SD) 3.7 (0.7)yr) over 7 d. The Spearman-Brown Prophecy formula (S-B prophecy formula) was used to predict the number of days and hours of data required to achieve an intraclass correlation coefficient (ICC) of 0.7. The impact of including a weekend day was evaluated by comparing the reliability coefficient (r) for any 4 d of data with data for 4 d including one weekend day.Our observations indicate that 3 d of accelerometry monitoring, regardless of whether it includes a weekend day, for at least 7 h d(-1) offers sufficient reliability to characterise total physical activity and sedentary behaviour of pre-school children. These findings offer an approach that addresses the underlying tension in epidemiologic surveillance studies between the need to maintain acceptable measurement rigour and retention of a representatively meaningful sample size.
Pediatric Exercise Science | 2017
Kieran P. Dowd; Helen Purtill; Deirdre M. Harrington; Jane Hislop; John J. Reilly; Alan E. Donnelly
OBJECTIVES This study aims to determine the minimum number of days of monitoring required to reliably predict sitting/lying time, standing time, light intensity physical activity (LIPA), moderate-to-vigorous intensity physical activity (MVPA) and steps in adolescent females. METHOD 195 adolescent females (mean age = 15.7 years; SD = 0.9) participated in the study. Participants wore the activPAL activity monitor for a seven day protocol. The amount of time spent sitting/lying, standing, in LIPA and in MVPA and the number of steps per day were quantified. Spearman-Brown Prophecy formulae were used to predict the number of days of data required to achieve an intraclass correlation coefficient of both 0.7 and 0.8. RESULTS For the percentage of the waking day spent sitting/lying, standing, in LIPA and in MVPA, a minimum of 9 days of accelerometer recording is required to achieve a reliability of ≥ 0.7, while a minimum of 15 days is required to achieve a reliability of ≥ 0.8. For steps, a minimum of 12 days of recording is required to achieve a reliability of ≥ 0.7, with 21 days to achieve a reliability of ≥ 0.8. CONCLUSION Future research in adolescent females should collect a minimum of 9 days of accelerometer data to reliably estimate sitting/lying time, standing time, LIPA and MVPA, while 12 days is required to reliably estimate steps.
Pediatric Exercise Science | 2012
Jane Hislop; Catherine Bulley; Tom Mercer; John J. Reilly
Practice Development in Health Care | 2008
Jane Hislop; Rowena Murray; Mary Newton
Archive | 2009
Susi Peacock; Kate Morss; Alison Scott; Jane Hislop; Lindesay Irvine; Sue Murray; Simon T Girdler
Physiological Measurement | 2016
Jane Hislop; Nicole Palmer; Priya Anand; Tara Aldin
Archive | 2018
Jane Hislop; Catherine Bulley; John J. Reilly
Physiotherapy | 2015
C. Ellis; Judith Lane; Deborah MacDonald; David F. Hamilton; Colin R. Howie; Jane Hislop
Physiotherapy | 2015
Jane Hislop; Stephanie Gray; Simon Melling; L Paraskevopoulos; Gill Baer