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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Am J Ophthalmol. 2018 Sep 21;197:128–135. doi: 10.1016/j.ajo.2018.09.015

Table 3.

Multivariable longitudinal models of the 3 CES-D summary depression measures (CES-D symptom score, CES-D symptom score ≥7, Count of CES-D symptoms)

Linear Mixed Model
of CESD Total Score
Logistic Regression
of CESD Total Score ≥ 7
Negative Binomial Regression
of # CESD Symptoms
Multivariable models Estimatea 95% CI P-value ORa 95% CI P-value IRRa 95% CI P-value
Timeb
  baseline vs year 1 0.51 (0.29, 072) <0.0001 1.41 (1.10, 1.82) 0.0072 1.45 (1.30, 1.61) <0.0001
  1–8 years (per 1 year) -0.09 (−0.12, −0.06) <0.0001 0.94 (0.91, 0.98) 0.0066 0.92 (0.90, 0.94) <0.0001
Age (per 10 years younger) 0.21 (0.39, 0.04) 0.0159 1.24 (1.08, 1.44) 0.0031 1.12 (1.04, 1.22) 0.0031
Gender (Female vs Male) 0.55 (0.17, 0.94) 0.0052 1.42 (0.97, 2.09) 0.0726 1.47 (1.20, 1.80) 0.0002
Race (vs White)
  Black 0.29 (−0.13, 0.71) 0.1769 1.21 (0.83, 1.76) 0.3177 1.16 (0.94, 1.44) 0.1633
  Asian -0.96 (−2.43, 0.51) 0.2019 0.08 (0.01, 0.45) 0.0046 0.46 (0.25, 0.85) 0.0130
  Other 1.51 (0.59, 2.42) 0.0012 2.20 (1.23, 3.92) 0.0077 2.11 (1.45, 3.06) <0.0001
Education (vs Graduate Education)
  <HS 0.9 (0.20, 1.61) 0.0125 2.93 (1.69, 5.10) 0.0001 1.41 (1.01, 1.98) 0.0442
  HS -0.12 (−0.76, 0.51) 0.7080 1.50 (0.89, 2.54) 0.1304 0.90 (0.66, 1.21) 0.4756
  Some College 0.40 (−0.24, 1.05) 0.2167 2.30 (1.29, 4.10) 0.0045 1.14 (0.83, 1.56) 0.4247
  College Degree 0.10 (−0.61, 0.80) 0.7854 1.64 (0.85, 3.17) 0.1381 1.11 (0.77, 1.60) 0.5726
Baseline VAQ (per 1-unit increase
on 1–5 scale, higher is worse)
1.26 (0.99, 1.54) <0.0001 2.41 (1.91, 3.04) <0.0001 1.89 (1.67, 2.15) <0.0001

CESD, Center for Epidemiologic Studies Depression Scale; CI, Confidence Interval; OR, Odds Ratio; IRR, Incident Rate Ratio; HS, High School; VAQ, Visual Activities Questionnaire.

a

Increased risk of depression is indicated by Estimate>0, OR>1 or IRR>1.

b

Because the drop in depression scores from baseline to 1 year was larger than predicted by a linear relationship between 1 and 8 years in all 3 models, time since diagnosis was modeled with a linear term for all time points as well as an indicator variable for deviation from the line at the baseline time point.

Note: Linear mixed regression used the compound symmetry covariance structure to adjust for the correlation between repeated measures. Repeated measures logistic and negative binomial regressions used generalized estimating equations to adjust for the correlation between repeated measures.