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Open Access
Article
Publication date: 8 August 2019

Tawanda Machingura, Gurjeet Kaur, Chris Lloyd, Sharon Mickan, David Shum, Evelyne Rathbone and Heather Green

Previous research has provided limited evidence on whether and how demographic factors associate with sensory processing patterns (SPP) in adults. This paper aims to examine…

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Abstract

Purpose

Previous research has provided limited evidence on whether and how demographic factors associate with sensory processing patterns (SPP) in adults. This paper aims to examine relationships between SPPs and sociodemographic factors of age, sex, education and ethnicity in healthy adults.

Design/methodology/approach

A cross-sectional study design was used. A total of 71 adult participants was recruited from the community, using convenience sampling. Each participant completed the Adolescent/Adult Sensory Profile (AASP) and the Depression Anxiety Stress Scales – short version (DASS-21). Demographic information on age, sex, education and ethnicity was collected. Results were analysed using descriptive statistics and multivariate analyses of covariance (MANCOVA).

Findings

SPPs, as measured by the AASP, were significantly correlated to demographic factors of age and education after controlling for emotional distress using the DASS-21. A statistically significant multivariate effect was found across the four dependent variables (low registration, seeking, sensitivity and avoiding) for the age category, F = 6.922, p = 0.009, ηp2 = 0.145, in the presence of a covariate DASS. The education category showed significance only in the seeking domain (p = 0.008, ηp2 = 0.10) after controlling for DASS. There was no significant correlation between SPPs and gender or ethnicity. Results also indicated that mean scores of participants in this study were “similar to most people” as standardised in the AASP.

Research limitations/implications

This was a cross-sectional study with limitations including that the study used a relatively small sample and was based on self-reported healthy participants.

Practical implications

SPPs may correlate with healthy adults’ age and to a lesser extent education. This suggests that it might be helpful to consider such demographic factors when interpreting SPPs in clinical populations, although further research in larger samples is needed to reach firmer conclusions about possible implications of demographic variables.

Originality/value

The findings in this paper add to the growing evidence that suggest that SPPs vary with sociodemographic factors.

Details

Irish Journal of Occupational Therapy, vol. 48 no. 1
Type: Research Article
ISSN: 2398-8819

Keywords

Content available
Article
Publication date: 1 January 2013

79

Abstract

Details

Health Education, vol. 113 no. 1
Type: Research Article
ISSN: 0965-4283

Content available
Book part
Publication date: 15 April 2020

Abstract

Details

Essays in Honor of Cheng Hsiao
Type: Book
ISBN: 978-1-78973-958-9

Content available
Book part
Publication date: 18 January 2022

Abstract

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Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling
Type: Book
ISBN: 978-1-80262-062-7

Content available
Book part
Publication date: 10 April 2019

Abstract

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The Econometrics of Complex Survey Data
Type: Book
ISBN: 978-1-78756-726-9

Content available
Book part
Publication date: 18 January 2022

Abstract

Details

Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology
Type: Book
ISBN: 978-1-80262-065-8

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Book part
Publication date: 19 October 2020

Abstract

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The Econometrics of Networks
Type: Book
ISBN: 978-1-83867-576-9

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Article
Publication date: 5 December 2016

Andrew J. Hobson, Linda J. Searby, Lorraine Harrison and Pam Firth

446

Abstract

Details

International Journal of Mentoring and Coaching in Education, vol. 5 no. 4
Type: Research Article
ISSN: 2046-6854

Content available
Book part
Publication date: 30 August 2019

Abstract

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A
Type: Book
ISBN: 978-1-78973-241-2

Content available
Book part
Publication date: 18 October 2019

Abstract

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B
Type: Book
ISBN: 978-1-83867-419-9

1 – 10 of 18