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Table 4 Longitudinal Analysis: Wave 1 Alcohol Consumption predicting Wave 2 Health Outcomes. N = 6,222

From: Alcohol use and health outcomes in the oldest old

  Estimate Standard Error Chi-Square (df = 1) or t-value Odds Ratio 95% Confidence Interval p-value
W1 drinking predicting stroke -0.31 0.10 10.8 0.73 0.61–0.88 0.001
W1 drinking predicting heart disease -0.2 0.08 5.8 0.82 0.69–0.96 0.02
W1 drinking predicting diabetes -0.30 0.13 5.4 0.74 0.57–0.95 0.02
W1 drinking predicting falls -0.09 0.06 2.5 0.91 0.81–1.02 0.12
W1 drinking predicting hip fracture -0.42 0.17 5.8 0.66 0.47–0.92 0.02
W1 Drinking predicting % any ADL -0.22 0.05 19.9 0.80 0.73–0.88 0.0001
W1 Drinking predicting % any IADL -0.18 0.04 17.3 0.83 0.77–0.91 0.0001
W1 drinking predicting total # Chronic Illnesses -0.03 0.01 -2.6 --- --- 0.01
W1 drinking predicting CES-D -0.1 0.03 -3.0 --- --- 0.01
W1 drinking predicting TICS-R 0.17 0.08 2.14 --- --- 0.03
  1. Note: Each row represents the results for Wave 1 drinking from a separate multivariate model. Each model contained Wave 1 drinking consumption, age, sex, education and the Wave 1 value for the specific outcome (e.g. Wave 1 Tics-R score for the model predicting Wave 2 cognitive function). BMI = Body Mass Index, ADL = Activities of Daily Living, IADL = Instrumental Activities of Daily Living, CES-D = Center for Epidemiologic Studies Depression Scale, TICS-R = Telephone Interview for Cognitive Status- Revised. Due to missing data for proxy interviews, the n for analyses using the CES-D = 5,297 and for analyses using the TICS-R, the n = 5118.