Table 2.
Linear regression β coefficients for the association between Visual field loss (Mean Deviation Score in decibels) and Health Related Quality of Life (adjusted NEI-VFQ – 25 and SF-12 scores) in Los Angeles Latino Eye Study participants, stratified by visual field loss in the better and worse seeing eye.
| VFL in Better Seeing Eye |
VFL in Worse Seeing Eye |
|||
|---|---|---|---|---|
| Health Related Quality of Life measures | βcoefficient (95% CI) | P-value | β coefficient (95% CI) | P-value |
| SF-12 | ||||
| MCS | 0.21 (0.13, 0.29) | <.0001 | 0.11 (0.05, 0.17) | 0.0003 |
| PCS | 0.23 (0.16, 0.29) | <.0001 | 0.17 (0.12, 0.22) | <.0001 |
| NEI-VFQ-25 | ||||
| General Health | 0.42 (0.26, 0.59) | <.0001 | 0.32 (0.19, 0.44) | <.0001 |
| Color Vision | 0.67 (0.56, 0.79) | <.0001 | 0.38 (0.30, 0.47) | <.0001 |
| Driving Difficulties|| | 1.56 (1.38, 1.74) | <.0001 | 1.09 (0.95, 1.23) | <.0001 |
| Distance Vision | 1.02 (0.89, 1.16) | <.0001 | 0.71 (0.61, 0.81) | <.0001 |
| Near Vision | 0.97 (0.82, 1.12) | <.0001 | 0.71 (0.59, 0.82) | <.0001 |
| Vision Related Dependency | 1.42 (1.27, 1.56) | <.0001 | 0.97 (0.86, 1.08) | <.0001 |
| General Vision | 0.51 (0.38, 0.63) | <0001 | 0.41 (0.32, 0.50) | <.0001 |
| Vision Related Mental Health | 1.20 (1.04, 1.37) | <.0001 | 0.92 (0.80, 1.04) | <.0001 |
| Ocular Pain | 0.70 (0.55, 0.86) | <.0001 | 0.51 (0.40, 0.63) | <.0001 |
| Peripheral Vision | 0.92 (0.76, 1.07) | <.0001 | 0.79 (0.67, 0.90) | <.0001 |
| Vision Related Role Function | 1.02 (0.87, 1.18) | <.0001 | 0.77 (0.66, 0.89) | <0001 |
| Vision Related Social Function | 0.78 (0.67, 0.88) | <.0001 | 0.50 (0.42, 0.58) | <.0001 |
| Composite¶ | 0.94 (0.85, 1.04) | <.0001 | 0.69 (0.61,0.76) | <.0001 |
Note: data are presented as coefficient (95% CI). Abbreviations: SF-12, Medical Outcomes Study 12-Item Short-Form Health Survey, MCS, Mental Component Summary; PCS, Physical Component Summary; NEI-VFQ-25, National Eye Institute Visual Function Questionnaire 25-Item. VFL: Visual field loss. The SF-12 and NEI-VFQ-25 scores were adjusted for: age, gender, education, employment status, income, acculturation, co-morbidities, health insurance, vision insurance, and visual acuity impairment.
Scores could be generated for only 3,762 of the participants who reported that they were currently driving or had driven in the past.
Composite score is an un-weighted mean of the 12 subscale scores (except general health).