Cargando…
Validation of Novel Metrics from the Accommodative Dynamic Profile
Objective and subjective methods of assessing time taken for accommodative change (ToAC) include accommodative dynamics (AD) and accommodative facility (AF). This study investigates the validity of novel metrics derived from the AD-profile and explores their relationship with AF. AD were assessed us...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836212/ https://www.ncbi.nlm.nih.gov/pubmed/31735897 http://dx.doi.org/10.3390/vision2030034 |
_version_ | 1783466855747289088 |
---|---|
author | Szostek, Nicola Buckhurst, Hetal Purslow, Christine Drew, Thomas Collinson, Avril Buckhurst, Phillip |
author_facet | Szostek, Nicola Buckhurst, Hetal Purslow, Christine Drew, Thomas Collinson, Avril Buckhurst, Phillip |
author_sort | Szostek, Nicola |
collection | PubMed |
description | Objective and subjective methods of assessing time taken for accommodative change (ToAC) include accommodative dynamics (AD) and accommodative facility (AF). This study investigates the validity of novel metrics derived from the AD-profile and explores their relationship with AF. AD were assessed using a modified open-field autorefractor in 43 healthy adults. Non-linear regression curves were fitted to the data to derive: latency-of-accommodation (nLoA) and -disaccomodation (nLoD), Time-for-accommodation (ToA) and -disaccommodation (ToD), and objective-ToAC (oToAC). Latencies were also calculated through visual inspection of the AD data as in previous studies (pLoA and pLoD). AF was used to assess subjective-ToAC. Statistical analysis explored the relationships between the AD-metrics and AF. Subjects were assessed on three visits to examine intra- and inter-observer repeatability. nLoA and nLoD were greater than pLoA (p = 0.001) and pLoD (p = 0.004) respectively. nLoA and nLoD also demonstrated greater intra- and inter-observer repeatability than pLoA and pLoD. AF demonstrated a moderate, inverse correlation with ToA (p = 0.02), ToD (p = 0.007), and oToAC (p = 0.007). ToD was the single best accommodative predictor of AF (p = 0.011). The novel method for deriving latency was more repeatable, but not interchangeable with the techniques used in previous studies. ToD was the most repeatable metric with the greatest association with AF. |
format | Online Article Text |
id | pubmed-6836212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68362122019-11-14 Validation of Novel Metrics from the Accommodative Dynamic Profile Szostek, Nicola Buckhurst, Hetal Purslow, Christine Drew, Thomas Collinson, Avril Buckhurst, Phillip Vision (Basel) Article Objective and subjective methods of assessing time taken for accommodative change (ToAC) include accommodative dynamics (AD) and accommodative facility (AF). This study investigates the validity of novel metrics derived from the AD-profile and explores their relationship with AF. AD were assessed using a modified open-field autorefractor in 43 healthy adults. Non-linear regression curves were fitted to the data to derive: latency-of-accommodation (nLoA) and -disaccomodation (nLoD), Time-for-accommodation (ToA) and -disaccommodation (ToD), and objective-ToAC (oToAC). Latencies were also calculated through visual inspection of the AD data as in previous studies (pLoA and pLoD). AF was used to assess subjective-ToAC. Statistical analysis explored the relationships between the AD-metrics and AF. Subjects were assessed on three visits to examine intra- and inter-observer repeatability. nLoA and nLoD were greater than pLoA (p = 0.001) and pLoD (p = 0.004) respectively. nLoA and nLoD also demonstrated greater intra- and inter-observer repeatability than pLoA and pLoD. AF demonstrated a moderate, inverse correlation with ToA (p = 0.02), ToD (p = 0.007), and oToAC (p = 0.007). ToD was the single best accommodative predictor of AF (p = 0.011). The novel method for deriving latency was more repeatable, but not interchangeable with the techniques used in previous studies. ToD was the most repeatable metric with the greatest association with AF. MDPI 2018-08-21 /pmc/articles/PMC6836212/ /pubmed/31735897 http://dx.doi.org/10.3390/vision2030034 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Szostek, Nicola Buckhurst, Hetal Purslow, Christine Drew, Thomas Collinson, Avril Buckhurst, Phillip Validation of Novel Metrics from the Accommodative Dynamic Profile |
title | Validation of Novel Metrics from the Accommodative Dynamic Profile |
title_full | Validation of Novel Metrics from the Accommodative Dynamic Profile |
title_fullStr | Validation of Novel Metrics from the Accommodative Dynamic Profile |
title_full_unstemmed | Validation of Novel Metrics from the Accommodative Dynamic Profile |
title_short | Validation of Novel Metrics from the Accommodative Dynamic Profile |
title_sort | validation of novel metrics from the accommodative dynamic profile |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836212/ https://www.ncbi.nlm.nih.gov/pubmed/31735897 http://dx.doi.org/10.3390/vision2030034 |
work_keys_str_mv | AT szosteknicola validationofnovelmetricsfromtheaccommodativedynamicprofile AT buckhursthetal validationofnovelmetricsfromtheaccommodativedynamicprofile AT purslowchristine validationofnovelmetricsfromtheaccommodativedynamicprofile AT drewthomas validationofnovelmetricsfromtheaccommodativedynamicprofile AT collinsonavril validationofnovelmetricsfromtheaccommodativedynamicprofile AT buckhurstphillip validationofnovelmetricsfromtheaccommodativedynamicprofile |