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

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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

0.61â€“0.88

0.001

W1 drinking predicting heart disease

-0.2

0.08

5.8

0.82

0.69â€“0.96

0.02

W1 drinking predicting diabetes

-0.30

0.13

5.4

0.74

0.57â€“0.95

0.02

W1 drinking predicting falls

-0.09

0.06

2.5

0.91

0.81â€“1.02

0.12

W1 drinking predicting hip fracture

-0.42

0.17

5.8

0.66

0.47â€“0.92

0.02

W1 Drinking predicting % any ADL

-0.22

0.05

19.9

0.80

0.73â€“0.88

0.0001

W1 Drinking predicting % any IADL

-0.18

0.04

17.3

0.83

0.77â€“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.