TY - JOUR
T1 - A novel approach to quantify environmental risk factors of myopia
T2 - Combination of wearable devices and big data science
AU - Li, Lei
AU - Wen, Longbo
AU - Lan, Weizhong
AU - Zhu, Haogang
AU - Yang, Zhikuan
N1 - Publisher Copyright:
© 2020 The Authors.
PY - 2020
Y1 - 2020
N2 - Purpose: To develop a practical approach to quantify the exposure to environmental risk factors of myopia. Methods: In total, 179 children (age, mean ± standard deviation [SD] 9.17 ± 0.52 years) were requested to wear Clouclip, designed to measure working distance (WD) and light intensity (LI), for a whole week. The spherical equivalent refraction (SER) was determined by cycloplegic autorefraction. The raw data of WD and LI were preprocessed through several steps, including data denoising, constructing a two-dimensional WD-LI space, and data sparseness disposing. Weighted linear regression was used to explore the relationship between WD/LI and SER. A novel parameter visual behaviour index (VBI) was developed to summarize the overall impact of WD/LI on SER. Results: The mean ± SD SER of 179 participants was 0.22 ± 1.18 D. WD and LI were positively associated with SER. However, their magnitude of effect on SER varied with the relative level between them. When WD and LI were split up, the detrimental threshold was approximately 40 cm for WD and 6300 lux for LI. VBI was significantly positively associated with SER (β = 0.0623, R2 = 0.031, P < 0.05). Conclusions: The current study provides a novel approach to quantify environmental risk factors of myopia. Despite the complexity of the interaction between these risk factors and their impact on SER, this information can be summarized as one singleparameter VBI, which provides a useful tool to investigate the effect of environmental factors on myopia development and progression. Translational Relevance: We developed a novel approach to quantify environmental risk factors of myopia.
AB - Purpose: To develop a practical approach to quantify the exposure to environmental risk factors of myopia. Methods: In total, 179 children (age, mean ± standard deviation [SD] 9.17 ± 0.52 years) were requested to wear Clouclip, designed to measure working distance (WD) and light intensity (LI), for a whole week. The spherical equivalent refraction (SER) was determined by cycloplegic autorefraction. The raw data of WD and LI were preprocessed through several steps, including data denoising, constructing a two-dimensional WD-LI space, and data sparseness disposing. Weighted linear regression was used to explore the relationship between WD/LI and SER. A novel parameter visual behaviour index (VBI) was developed to summarize the overall impact of WD/LI on SER. Results: The mean ± SD SER of 179 participants was 0.22 ± 1.18 D. WD and LI were positively associated with SER. However, their magnitude of effect on SER varied with the relative level between them. When WD and LI were split up, the detrimental threshold was approximately 40 cm for WD and 6300 lux for LI. VBI was significantly positively associated with SER (β = 0.0623, R2 = 0.031, P < 0.05). Conclusions: The current study provides a novel approach to quantify environmental risk factors of myopia. Despite the complexity of the interaction between these risk factors and their impact on SER, this information can be summarized as one singleparameter VBI, which provides a useful tool to investigate the effect of environmental factors on myopia development and progression. Translational Relevance: We developed a novel approach to quantify environmental risk factors of myopia.
KW - Light intensity
KW - Myopia
KW - Spatial data mining
KW - Wearable device
KW - Working distance
UR - https://www.scopus.com/pages/publications/85098056487
U2 - 10.1167/tvst.9.13.17
DO - 10.1167/tvst.9.13.17
M3 - 文章
C2 - 33344061
AN - SCOPUS:85098056487
SN - 2164-2591
VL - 9
SP - 1
EP - 8
JO - Translational Vision Science and Technology
JF - Translational Vision Science and Technology
IS - 13
M1 - 17
ER -