This study was authorized by the Ethics Committee of Hallym University (2019-10-023). Written informed consent was waived by the Institutional Review Boards of Hallym University Sacred Heart Hospital. In all of the analyses, the Ethics Committee guidelines and regulations were strictly adhered to. In Korea, a representative sample cohort database comprising approximately one million people has been provided by the KNHIS. The database includes medical care histories listed by diagnostic/treatment codes, socioeconomic data, life and death information, and individual disability over a period ranging from 2002 to 2015 33–35.
Definition of Visual impairment
Participants found to have VI where those who had registered as VI persons at the Ministry of Health and Welfare. We excluded those with co-disabilities. In Korea, legal VI is defined as the presence of any of the following 4 conditions that show stabilization after at least 6 months of treatment and are not reversed by medication or surgery: 1) best-corrected visual acuity (BCVA) ≤ 20/1000 in the worse eye, 2) BCVA ≤ 20/100 in the better eye, 3) a binocular visual field < 1/2, and 4) visual field ≤ 10° from the visual axis for both eyes. The patient must submit a medical certificate issued by an ophthalmologist regarding the BCVA, visual field, and the possible reason for VI before being registering as visually impaired. With properly documented evidence of a VI, an assessment committee discusses the feasibility of the VI registration. In Korea, the degree of VI is typically divided into 6 grades according to the its severity; in the database, the data are then divided into two grades (mild-to-moderate VI group, grades III-VI; severe VI group, grades I-II).
Definition of Income
Income level was divided into deciles of population based on KNHIS annual premiums (Supplementary Table 1). Medical Aid beneficiaries were added to the lowest income level 36. Income change for participants was defined as an income-level change between the income prior and closest to the day of VI registration and the income 5 years after that.
Participant Selection
The VI group was selected from 514,866 participants for whom 615,488,428 medical claim codes had been registered between the years 2002 and 2015 (n = 5,292). The control group was compiled of participants not defined as VI during the years 2002 through 2015 (n = 509,574). VI participants diagnosed with other disabilities (n = 77) or with VI after 2011 (n = 457) were excluded. VI participants were matched with participants (control group) who had never been diagnosed with a VI or other disabilities from 2002 through 2015. Control participants were excluded if they had been diagnosed with disabilities (n = 45,081). VI participants were 1:4 matched with control participants for age, sex, initial income on index date, and region of residence. The participants serving as the control were randomly selected in order to minimize selection bias. The index date of each VI participant was set as the time of diagnosis of VI. The index date of each control participant was set as the index date of the matched VI participant. Therefore, each VI/control participant matched pair had the same index date. During the matching procedure, 445,461 control participants were excluded. Ultimately, 4,758 VI participants were 1:4 matched with 19,032 control participants (Fig. 1).
Covariates
The following ten age groups were formed: 40–44, 45–49, 50–54…, 80–84, and 85 + years old. Residence regions were grouped into urban (Seoul, Busan, Daegu, Incheon, Daejeon, Gwangju, Ulsan) and rural (Gangwon, Gyeonggi, Chungcheongbuk, Chungcheongnam, Gyeongsangbuk, Gyeongsangnam, Jeollabuk, Jeollanam, Jeju) areas.
Tobacco smoking was classified based on the current smoking status (current smoker, past smoker, and nonsmoker) of participants. Alcohol consumption was categorized based on its frequency (≥ 1 time a week and < 1 time a week). Obesity was determined according to body-mass index (BMI, kg/m2), BMI having been categorized as follows: < 18.5 (underweight), ≥ 18.5 to < 23 (normal), ≥ 23 to < 25 (overweight), ≥ 25 to < 30 (obese I), and ≥ 30 (obese II), based on the Asia-Pacific criteria of the Western Pacific Regional Office (WPRO) 200037. Also investigated were systolic blood pressure (SBP) and diastolic blood pressure (DBP) along with fasting blood glucose and total cholesterol. Missing BMI (23/23,790 [0.097%]), SBP (17/23,790 [0.071%]), DBP (17/23,790 [0.071%]), fasting blood glucose (31/23,790 [0.130%]), and total cholesterol (48/23,790 [0.202%]) values were replaced by the mean values of each variable for the final selected participants.
The Charlson Comorbidity Index (CCI) has been used widely to measure disease burden according to 17 comorbidities. The CCI score is reflective of disease severity and number both, and is recorded as a continuous variable (range: 0 [no comorbidities] — 29 [multiple comorbidities]) 38,39.
Statistical Analyses
The differences in the rates of the general characteristics were compared using the Chi-square test. The differences in the mean values of income between the initial index date and the 5-years-post-VI-registration date were compared using the paired t-test.
To estimate the interaction and estimated value (EV) of repeated measures data, a linear mixed model was used. Age, sex, region of residence, VI, and time of measurement were used as the independent variables and fixed effects. BMI, SBP, DBP, fasting blood glucose, total cholesterol, smoking, alcohol consumption, and CCI scores were used as random effects. A first-order autoregressive model was selected as the repeated covariance type, considering the correlation of each participant's iteration. The statistical analysis model of the linear mixed model is as follows:
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)
In the subgroup analyses, we subdivided the participants according to age and sex (< 60 years old and ≥ 60 years old; men and women). According to severity, VI was divided into mild-to-moderate VI and severe VI groups.
We performed two-sided analyses and determined statistical significance based on P values < 0.05. SAS version 9.4 (SAS Institute Inc., Cary, NC, USA) was used in the analyses.