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Table 3 Multi-variate analysis a regarding characteristics associated with assessment, and brief advice for individual risks, 2009–10, NSW, Australia

From: The delivery of preventive care to clients of community health services

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 Disadvantage f

 

.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

 

-

  
  1. aLogistic regression analyses weighted and adjusted by facility groupings from the intervention trial [48].
  2. bFinal regression models which show only variables with significant independent associations with outcome after the modeling process.
  3. cFor N (%) for each variable included in the model refer to Table 1.
  4. dClients over 18 years of age (e.g. the parent of the child seeing the service).
  5. eOther service types include: rehabilitation , chronic and complex care, women's services, migrant services, renal/dialysis, and regional health service programs.
  6. 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].
  7. *Significant.