Table 4

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


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

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.

Turvey et al. Substance Abuse Treatment, Prevention, and Policy 2006 1:8   doi:10.1186/1747-597X-1-8

Open Data