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Dive into the research topics where Jane Hislop is active.

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Featured researches published by Jane Hislop.


Archives of Disease in Childhood | 2008

Objective measurement of physical activity and sedentary behaviour: review with new data

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

An investigation into the minimum accelerometry wear time for reliable estimates of habitual physical activity and definition of a standard measurement day in pre-school children.

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

Minimum Wear Duration for the activPALTM Professional Activity Monitor in Adolescent Females

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

Comparison of Epoch and Uniaxial Versus Triaxial Accelerometers in the Measurement of Physical Activity in Preschool Children: A Validation Study

Jane Hislop; Catherine Bulley; Tom Mercer; John J. Reilly


Practice Development in Health Care | 2008

Writing for publication: A case study

Jane Hislop; Rowena Murray; Mary Newton


Archive | 2009

Using ePortfolios in Higher Education to Encourage Learner Reflection and Support Personalised Learning

Susi Peacock; Kate Morss; Alison Scott; Jane Hislop; Lindesay Irvine; Sue Murray; Simon T Girdler


Physiological Measurement | 2016

Validity of wrist worn accelerometers and comparability between hip and wrist placement sites in estimating physical activity behaviour in preschool children.

Jane Hislop; Nicole Palmer; Priya Anand; Tara Aldin


Archive | 2018

Concurrent validity of the GT1M witht MTI Accelerometer in Preschool children during free-play

Jane Hislop; Catherine Bulley; John J. Reilly


Physiotherapy | 2015

What do patients like and not about their hospital experiences? A thematic analysis of patient responses to clinical audit

C. Ellis; Judith Lane; Deborah MacDonald; David F. Hamilton; Colin R. Howie; Jane Hislop


Physiotherapy | 2015

An exploration of physical activity experiences in people with Parkinson's disease

Jane Hislop; Stephanie Gray; Simon Melling; L Paraskevopoulos; Gill Baer

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John J. Reilly

University of Strathclyde

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Tom Mercer

Queen Margaret University

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Abigail Fisher

University College London

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Alison Scott

Queen Margaret University

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C. Ellis

Queen Margaret University

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Carol Newlands

Queen Margaret University

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