Table 3 |
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|
Health Correlates of Alcohol Consumption |
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| Daily Alcohol Consumption |
Total Sample N = 7,434 |
Doesn't Drink N = 4,146 |
Less than once a day N = 2,515 |
1–2 drinks per day N = 620 |
3 or more drinks per day N = 153 |
Test Statistic (df) |
p-value |
|
|
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| Self Rated Health Mean |
3.1 (1.2) |
3.3 (1.2) |
2.8 (1.1) |
2.6 (1.1) |
2.6 (1.2) |
χ2(3) = 383.9 |
0.0001 |
| Mean # Chronic Illnesses |
1.6 (1.2) |
1.7 (1.2) |
1.4 (1.1) |
1.3 (1.1) |
1.4 (1.2) |
χ2 (3) = 135.4 |
0.0001 |
| % Stroke |
10.6 |
12.6 |
8.4 |
7.4 |
5.9 |
χ2 (3) = 41.2 |
0.0001 |
| % Heart Disease |
31.6 |
34.2 |
29.1 |
25.8 |
22.9 |
χ2 (3)= 35.3 |
0.0001 |
| % Diabetes |
13.3 |
16.6 |
10.1 |
6.1 |
7.2 |
χ2 (3) = 95.4 |
0.0001 |
| BMI |
25.4(4.5) |
25.4(4.7) |
25.5(4.3) |
24.8(3.7) |
25.5(3.8) |
χ2 (3) = 10.6 |
0.01 |
| Smoking Status |
χ2 (6) = 452.7 |
0.0001 |
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| 1 = Current |
10.0 |
8.2 |
9.8 |
17.1 |
30.1 |
||
| 2 = Former |
42.5 |
35.5 |
48.3 |
61.3 |
60.1 |
||
| 3 = Never |
47.5 |
56.3 |
41.9 |
21.6 |
9.8 |
||
| % Falls |
7.7 |
8.3 |
7.0 |
7.4 |
5.9 |
χ2 (3) = 4.8 |
0.19. |
| % Hip Fracture |
5.0 |
5.8 |
4.2 |
3.7 |
2.0 |
χ2 (3) = 14.5 |
0.002 |
| % any ADL |
30.5 |
37.5 |
23.3 |
15.3 |
18.3 |
χ2 (3) = 236.3 |
0.0001 |
| % any IADL |
31.0 |
38.5 |
22.4 |
19.5 |
15.0 |
χ2 (3) = 253.1 |
0.0001 |
| Mean CES-D* |
1.7(1.9) |
1.9(2.1) |
1.5(1.9) |
1.2(1.7) |
1.3(1.7) |
χ2 (3) = 118.5 |
0.0001 |
| Mean TICS-R* |
19.5(5.9) |
18.2(6.1) |
20.8 (5.3) |
21.6(4.6) |
21.3(5.4) |
χ2 (3) = 366.0 |
0.0001 |
|
|
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|
Note: Kruskal Wallis tests were used for continuous variables (BMI, TICS-R) as these did not have normal distributions. Means and standard deviations are given for descriptive purposes only. 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. *For analyses using the CES-D, N = 6,649. For those using the TICS-R, N = 6,351. |
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|
Turvey et al. Substance Abuse Treatment, Prevention, and Policy 2006 1:8 doi:10.1186/1747-597X-1-8 |
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