The nexus between pupillary constriction characteristics and accommodative facility: A quantitative and correlational study
Purpose: To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. Methods: This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommod...
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| Published in | Indian journal of ophthalmology Vol. 73; no. 9; pp. 1324 - 1329 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
India
Wolters Kluwer - Medknow
01.09.2025
Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Wolters Kluwer Medknow Publications |
| Edition | 2 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0301-4738 1998-3689 1998-3689 |
| DOI | 10.4103/IJO.IJO_2583_24 |
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| Abstract | Purpose:
To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.
Methods:
This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude.
Results:
The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance.
Conclusion:
Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. |
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| AbstractList | To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude. The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance. Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. Purpose:To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.Methods:This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude.Results:The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance.Conclusion:Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude. The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility ( r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility ( r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 ( P < 0.001), explaining 47% of the variance. Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.PURPOSETo analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude.METHODSThis study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude.The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance.RESULTSThe high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance.Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction.CONCLUSIONIncreased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. Purpose: To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. Methods: This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude. Results: The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance. Conclusion: Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. Purpose: To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. Methods: This study included 400 eyes from 200 subjects, divided into high and low-accommodative facility groups based on performance measured in cycles per minute (CPM) using accommodative flippers (±2.00D). Pupillary constriction dynamics were assessed using an iPhone-based pupillometer application, focusing on constriction speed and amplitude. Results: The high accommodative facility group (mean ± SD: 14.2 ± 1.1 CPM) significantly outperformed the low facility group (mean ± SD: 9.4 ± 1.2 CPM, P < 0.001). Pupillary constriction speed was faster in the high facility group (mean ± SD: 3.8 ± 0.5 mm/s) compared to the low facility group (mean ± SD: 3.2 ± 0.6 mm/s, P = 0.002). Amplitude of constriction was greater in the high facility group (mean ± SD: 2.3 ± 0.3 mm) versus the low facility group (mean ± SD: 1.9 ± 0.4 mm, P = 0.005). Significant positive correlations were found between constriction speed and accommodative facility (r = 0.58, P = 0.001) and between constriction amplitude and accommodative facility (r = 0.52, P = 0.003). Multiple regression analysis indicated that constriction speed and amplitude collectively predicted accommodative facility, with an R² of 0.47 (P < 0.001), explaining 47% of the variance. Conclusion: Increased pupillary constriction speed and amplitude are significantly associated with higher accommodative facility. These findings highlight the role of pupillary dynamics as predictors of accommodative performance and provide insights into the mechanisms underlying accommodative dysfunction. Keywords: Accommodation, constriction amplitude, pupil |
| Audience | Professional |
| Author | Begum, Anjuma A Goswami, Mrinmoy Dutta, Pritam Mollah, Zerin M Kalita, Niki |
| Author_xml | – sequence: 1 givenname: Pritam surname: Dutta fullname: Dutta, Pritam – sequence: 2 givenname: Zerin M surname: Mollah fullname: Mollah, Zerin M – sequence: 3 givenname: Mrinmoy surname: Goswami fullname: Goswami, Mrinmoy – sequence: 4 givenname: Niki surname: Kalita fullname: Kalita, Niki – sequence: 5 givenname: Anjuma A surname: Begum fullname: Begum, Anjuma A |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40679436$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.9734/or/2022/v17i4372 10.1097/ICO.0000000000001785 10.1097/OPX.0000000000002091 10.1016/j.visres.2020.06.005 10.1097/OPX.0000000000001289 10.3390/vision8040060 10.1046/j.1475-1313.2000.00474.x 10.1016/j.optom.2022.05.001 10.1177/1120672120975334 10.1111/j.1475-1313.1989.tb00906.x 10.1097/01.opx.0000216059.54932.3a 10.1080/08164622.2024.2311692 10.1097/00006324-199604000-00007 10.1111/j.1475-1313.1997.tb00063.x 10.3390/ijerph191710490 10.1016/j.humov.2015.04.006 |
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| References | Alrasheed (R16-20250829) 2024 McAnany (R13-20250829) 2018; 95 Stark (R6-20250829) 1997; 17 Yildiz (R11-20250829) 2021; 31 Mihelčič (R10-20250829) 2023; 16 Wolffsohn (R8-20250829) 2006; 83 Winn (R7-20250829) 1989; 9 Rafique (R18-20250829) 2015; 42 Kato (R5-20250829) 2019; 38 Redondo (R1-20250829) 2023; 100 Yu (R2-20250829) 2022; 19 Redondo (R3-20250829) 2020; 175 Chikuse (R15-20250829) 2022; 17 Gray (R12-20250829) 2024; 8 Gray (R4-20250829) 2000; 20 Dutta (R9-20250829) 2024; 107 Winn (R19-20250829) 1994; 35 Thiagarajan (R14-20250829) 2022; 50 Kulp (R17-20250829) 1996; 73 |
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To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.
Methods:
This study included 400 eyes from... To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. This study included 400 eyes from 200 subjects,... Purpose: To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. Methods: This study included 400 eyes from... To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility. This study included 400 eyes from 200 subjects,... Purpose:To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.Methods:This study included 400 eyes from 200... To analyze the interplay between pupillary constriction dynamics and variations in accommodative facility.PURPOSETo analyze the interplay between pupillary... |
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| SubjectTerms | accommodation Accommodation, Ocular - physiology Adult constriction amplitude Female Health aspects Humans Iris Male Middle Aged Multiple regression analysis Muscle contraction Neurophysiology Ocular accommodation Original Article Physiological aspects pupil Pupil (Eye) Pupil - physiology Reflex, Pupillary - physiology Smart phones Young Adult |
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| Title | The nexus between pupillary constriction characteristics and accommodative facility: A quantitative and correlational study |
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