Table 3.
Multi-variate analysisa regarding characteristics associated with assessment, and brief advice for individual risks, 2009–10, NSW, Australia
|
Variables included in the final regression modelsb |
Assessment (N = 1284)c |
Brief advice |
|
||
|---|---|---|---|---|---|
| OR (95% CI) | p | n (%) | OR (95% CI) | p | |
|
Smoking |
|
|
|
|
|
|
Service type |
|
<.001 |
N = 175 |
|
<.001 |
| Aged care |
1.8 (1.0 – 3.2)* |
|
2 (1.1) |
1.8 (0.1 – 32.7) |
|
| Community child and family healthd |
4.4 (2.8 - 6.9)* |
|
31 (17.7) |
7.7 (2.5 - 23.9)* |
|
| Community nurses and other nursing services |
1.5 (1.1 – 2.1)* |
|
55 (31.4) |
3.2 (1.2 – 8.5)* |
|
| Diabetes |
14.5 (6.5 – 32.6)* |
|
13 (7.4) |
68.6 (7.4- 636.2)* |
|
| Othere |
4.3 (2.6 - 7.0)* |
|
20 (11.4) |
14.0 (1.9 – 100.8)* |
|
| Allied health |
1.0 |
|
54 (30.9) |
1.0 |
|
|
Gender |
|
.002 |
|
|
- |
| Male |
1.6 (1.2 - 2.1)* |
|
- |
- |
|
| Female |
1.0 |
|
- |
- |
|
|
Fruit or vegetables |
|
|
|
|
|
|
Service type |
|
<.001 |
N = 1037 |
|
<.001 |
| Aged care |
2.2 (1.1 – 4.2)* |
|
55 (5.3) |
1.2 (0.4 – 2.9) |
|
| Community child and family healthd |
1.1 (0.6 – 1.9) |
|
169 (16.3) |
0.9 (0.5 – 1.8) |
|
| Community nurses and other nursing services |
2.1 (1.4 – 3.2)* |
|
348 (33.6) |
1.5 (0.9 – 2.5) |
|
| Diabetes |
20.6 (10.9 – 39.1)* |
|
81 (7.8) |
13.7 (6.8- 27.3)* |
|
| Othere |
3.4 (2.1 – 5.6)* |
|
144 (13.9) |
3.8 (2.1 – 6.9)* |
|
| Allied health |
1.0 |
|
240 (23.1) |
1.0 |
|
|
Aboriginality |
|
- |
N = 1035 |
|
0.006 |
| Yes, Aboriginal and/or Torres Strait Islander |
- |
|
39 (3.8) |
3.1 (1.4 – 7.2)* |
|
| No |
- |
|
996 (96.2) |
1.0 |
|
|
Alcohol |
|
|
|
|
|
|
Service type |
|
<.001 |
N = 289 |
|
<.001 |
| Aged care |
1.6 (0.9 – 2.8) |
|
14 (4.8) |
0.4 (0.1 – 2.3) |
|
| Community child and family healthd |
2.4 (1.4 - 4.0)* |
|
25 (8.7) |
0.6 (0.2 – 2.0) |
|
| Community nurses and other nursing services |
1.0 (0.7 – 1.4) |
|
81 (28.0) |
0.6 (0.2 – 1.3) |
|
| Diabetes |
11.6 (5.6 –24.4)* |
|
26 (9.0) |
10.6 (3.1- 36.3)* |
|
| Othere |
3.8 (2.4 – 6.0)* |
|
58 (20.1) |
1.1 (0.5 – 2.7) |
|
| Allied health |
1.0 |
|
85 (29.4) |
1.0 |
|
|
Times client seen in last 12 months |
|
<.001 |
|
|
- |
| 12+ |
0.7 (0.5 – 1.1) |
|
- |
- |
|
| 5-11 |
0.5 (0.3 - 0.7)* |
|
- |
- |
|
| 2-4 |
0.9 (0.6 – 1.3) |
|
- |
- |
|
| 1 |
1.0 |
|
- |
|
|
|
SEIFA Index of Disadvantagef |
|
.010 |
- |
|
|
| Higher NSW half [≤991] |
1.6 (1.1 – 2.2)* |
|
- |
- |
|
| Lower NSW half [>991] |
1.0 |
|
- |
- |
|
|
Employment |
|
0.005 |
- |
|
|
| Employed |
0.9 (0.6 – 1.4) |
|
- |
- |
|
| Unemployed (or unable to work due to health) |
2.2 (1.4 – 3.4)* |
|
- |
- |
|
| Other (e.g. Student, Home Duties) |
0.8 (0.5 – 1.4) |
|
- |
- |
|
| Retired |
1.0 |
|
- |
- |
|
|
Physical activity |
|
|
|
|
|
|
Service type |
|
<.001 |
N = 361 |
|
<.001 |
| Aged care |
0.9 (0.5 – 1.7) |
|
16 (4.4) |
0.4 (0.1 – 1.7) |
|
| Community child and family healthd |
0.4 (0.3- 0.7)* |
|
82 (22.7) |
0.5 (0.3 – 1.1) |
|
| Community nurses and other nursing services |
0.4 (0.2 – 0.5)* |
|
92 (25.5) |
0.6 (0.3 – 1.3) |
|
| Diabetes |
8.1 (4.0 –16.4)* |
|
41 (11.4) |
6.8 (2.4- 19.3)* |
|
| Othere |
2.1 (1.3 – 3.3)* |
|
52 (14.4) |
2.5 (1.1 – 5.7)* |
|
| Allied health |
1.0 |
|
78 (21.6) |
1.0 |
|
|
Gender |
|
.002 |
|
|
- |
| Male |
1.6 (1.2 - 2.2)* |
|
- |
- |
|
| Female |
1.0 |
|
- |
- |
|
|
Times client seen in last 12 months |
|
<.01 |
|
|
- |
| 12+ |
2.0 (1.3 – 3.1)* |
|
- |
- |
|
| 5-11 |
1.2 (0.8 - 1.8) |
|
- |
- |
|
| 2-4 |
1.5 (1.0 – 2.2) |
|
- |
- |
|
| 1 | 1.0 | - | |||
aLogistic regression analyses weighted and adjusted by facility groupings from the intervention trial [48].
bFinal regression models which show only variables with significant independent associations with outcome after the modeling process.
cFor N (%) for each variable included in the model refer to Table 1.
dClients over 18 years of age (e.g. the parent of the child seeing the service).
eOther service types include: rehabilitation , chronic and complex care, women's services, migrant services, renal/dialysis, and regional health service programs.
f2006 index of relative socio-economic advantage/disadvantage calculated using client postcodes, based on a continuum of advantage (high values, referring to the higher NSW half [>991]) and disadvantage (low values, referring to the lower NSW half [<=991]) [57].
*Significant.