Untitled Document

Sample

Survey 1 (baseline) 1996

More than 40,000 women responded to the baseline surveys for the main cohorts in 1996. Because of uncertainties about the accuracy of the Medicare database (which was used as the sampling frame for the stratified random samples), response rates cannot be exactly specified. It is estimated that 41%-42%, 53-56%, and 37-40% of the 1973-78 cohort, the 1946-51 cohort and the 1921-26 cohort, respectively, responded to the initial invitation to participate. Confidentiality restrictions meant that the names of the selected women were unknown to researchers. Usual methods of encouraging participation such as by telephone could not be used. The response rates were pleasing given that the invitation included a request for women to participate in the longitudinal study for up to 20 years.

In light of these response rates, it is important to assess any response bias so that the generalizability of the study findings can be determined. A comparison of the demographic characteristics of respondents and non-respondents was not possible because privacy guidelines prevented the researchers from having any information about women who were selected to receive an invitation but did not respond. We were able, however, to obtain aggregate data for non-respondents’ use of health services (from the Australian Medicare database). These data suggest that there are small differences in use of health services among respondents and non-respondents, with non-respondents less likely, for example, to have visited a medical specialist in the last 2 years (1946-51 cohort, 49% versus 54%; 1921-26 cohort, 65% versus 72%). There was not a significant difference in health service use between respondents and non-respondents from the 1973-78 cohort.

A proportion of this difference may be explained by the fact that some women who were selected may no longer be living in Australia or may have died, as the Medicare database is not routinely linked to emigration records or the National Death Index in Australia.

Although we were not able to ascertain reasons for non-response (because we were not allowed to know any details about the selected women), we were able, through comparison with the 1996 census data, to confirm that the participants in each of the cohorts are reasonably representative of the general population of women of the same age in Australia (Table 1). There is some response bias in terms of overrepresentation of women with tertiary education and underrepresentation of some groups of immigrant women.

Table 1: Socio-demographic characteristics for the young, mid-age and older respondents and for women of the same age in the general population (ABS)
 
Young
(18-23 years)
WHA         ABS
%    %
Mid-age
(45-50 years)
WHA   ABS
  %   %
Older
(70-75 years)
WHA   ABS
  %   %
Number
14,762
759,680
14,072
734,155
12,804
377,152
             
Main current employment status
           
Employed full-time
31.3
32.4
36.1
36.0
NA
Employed part-time
19.2
26.4
30.1
28.5
NA
Worked (without pay)/ employed (other)
1.9
1.3
7.0
2.0
NA
Unemployed
6.4
10.5
1.9
4.0
NA
Total not in labour force
39.4
26.3
21.6
27.0
NA
Not stated
1.8
2.7
3.3
2.5
NA
             
Highest qualification completed
           
No post school qualification
69.8
69.3
63.1
61.8
79.8
70.4
Trade/Apprenticeship
2.4
7.9
3.5
7.0
3.7
2.7
Certificate/Diploma
15.1
6.0
15.9
8.7
7.3
3.3
University Degree
12.1
7.7
16.3
11.6
4.0
2.4
Other (not stated, inadequately described)
0.6
9.1
1.2
10.8
5.2
21.2
             
Aboriginal/Torres Strait Islander
           
Non indigenous
97.9
94.9
98.1
96.7
91.6
93.7
Aboriginal or TSI
1.6
2.7
0.8
1.1
0.3
0.4
Not stated
0.5
2.5
1.1
2.1
8.1
5.9
             
Country of birth
           
Australia
88.6
77.8
69.0
62.6
68.5
66.4
Other English speaking
3.5
4.1
13.9
11.6
12.4
11.0
Other Europe
1.3
1.6
8.7
11.0
9.7
12.7
Asia
3.6
10.6
4.3
8.2
1.8
3.3
Other/not stated
3.0
6.0
4.2
6.5
7.6
6.5
             
Present marital status
           
Married
8.2
9.0
75.1
73.0
54.7
48.9
Separated/divorced
0.0
1.1
13.2
18.7
6.3
6.8
Widowed
0.0
0.2
2.1
2.7
35.2
39.9
Never married
79.0
89.8
3.9
5.6
3.2
4.4
De Facto (not collected by ABS)
12.0
-
5.7
-
0.6
-
             
Present housing situation
           
House
74.3
79.4
84.7
89.2
76.7
79.3
Flat/apartment/unit
20.0
14.0
7.1
6.5
19.4
12.9
Other
5.7
6.6
8.2
4.3
3.9
7.9

The above table and information are taken from:
Brown, W. J., Dobson, A. J., Bryson, L., & Byles, J. E. (1999). The Australian Longitudinal Study on Women’s Health: on the progress of the main cohort studies. Journal of Women's Health & Gender-Based Medicine, 8(5), 681-688.

Sample for the longitudinal study of the 1973-78, 1946-51 and 1921-26 cohorts

Some participants completed Survey 1 in 1996 and did not provide any contact details (532 women from the 1973-78 cohort, 383 women from the 1946-52 cohort and 508 women from the 1921-26 cohort). Hence the numbers of women actually enrolled in the Australian Longitudinal Study on Women's Health (ALSWH) were 14,247 women in the 1973-78 cohort, 13,716 women in the 1946-51 cohort and 12,432 women in the 1921-26 cohort (Lee, C., Dobson, A. J., Brown, W. J., Bryson, L., Byles, J., Warner-Smith, P., & Young, A. F. (2005). Cohort Profile: the Australian Longitudinal Study on Women's Health. International Journal of Epidemiology, 34(5), 987-991).

1973-78 cohort

Among the 1973-78 cohort, 69% responded to Survey 2 in 2000, 66% to Survey 3 in 2003, 68% responded to Survey 4 in 2006, 62% to Survey 5 in 2009 and to Survey 6 in 2012 (See Table 2).  This retention compares well with other surveys of this highly mobile age group.  The major reason for non-response among the 1973-78 cohort has been that the research team has been unable to contact the women (between 21% and 28% of the cohort at subsequent surveys), despite using all possible methods of maintaining contact.  Women in their twenties are characterised by high levels of mobility, change of surnames on marriage, often not having telephone listings, not being registered to vote, and making extended trips outside Australia for work, education, or recreation.  Despite these losses, modelling has shown that there is no serious bias in estimates of associations between risk factors and health outcomes in longitudinal models (Powers, J., & Loxton, D. (2010). The Impact of Attrition in an 11-Year Prospective Longitudinal Study of Younger Women. Annals of Epidemiology, 20(4), 318-321).

Table 2: Participation and retention of 14,247 women in the 1973-78 cohort of women who were 18-23 years old at the first survey in 1996*

Survey
Age in years

Survey 2
22-27

Survey 3
25-30

Survey 4
28-33

Survey 5
31-36

Survey 6
34-39

     Deceased

22

33

50

58

77

     Frailty (e.g. intellectual disability)

3

9

12

15

16

     Withdrawn

230

518

800

951

1157

Total ineligible

255

560

862

1024

1251

           

Contacted but did not return survey

1332

653

1371

1994

1454

Unable to contact participant

2972

3953

2869

3029

3533

Total non-respondents

4304

4606

4240

5023

4987

Respondents completed survey

9688

9081

9145

8200

8010

Eligible at current survey

13,992

13,687

13,385

13,223

12,997

Response rate as % eligible

69.2%

66.3%

68.3%

62.0%

61.6%

*data known as at 22 March 2016

1946-51 cohort

Retention has been much higher among the 1946-51 cohort of women; 92% responded to Survey 2 in 1998, 85% responded to Survey 3 in 2001, Survey 4 in 2004 and Survey 5 in 2007, and 83% responded to Survey 6 in 2010 (See Table 3).  Women in the 1946-51 cohort are currently responding to Survey 7.  The major reasons for non-response among the 1946-51 cohort has been that the research team has been unable to contact the women (6% to 8% of eligible women between Survey 2 and Survey 6), and non-return of questionnaires by women who could be contacted (2% at Survey 2 and 7% to 10% of eligible women at subsequent surveys). 

Table 3: Participation and retention of 13,715 women in the 1946-51 cohort of women who were 45-50 years old at the first survey in 1996*

Survey
Age in years

Survey 2
47-52

Survey 3
50-55

Survey 4
53-58

Survey 5
56-61

Survey 6
59-64

Survey 7 62-67

     Deceased

50

119

216

328

474

671

     Frailty (e.g. dementia, stroke)

7

23

34

51

70

100

     Withdrawn

209

424

622

870

1108

1652

Total ineligible

266

566

872

1249

1652

2423

             

Contacted but did not return survey

254

997

886

995

1148

1052

     Unable to contact participant

857

926

1052

833

904

 1089

     Total non-respondents

1111

1923

1938

1828

2052

2141

Respondents completed survey

12,338

11,226

10,905

10,638

10,011

9151

Eligible at current survey

13,449

13,149

12,843

12,466

12,063

11292

Retention rate as % eligible

91.7%

85.4%

84.9%

85.3%

83.0%

 81.0%

*data known as at 22 March 2016

1921-26 cohort

Of women from the 1921-26 cohort, 93% responded to Survey 2 in 1999, 88% to Survey 3 in 2002, 87% to Survey 4 in 2005, 81% to Survey 5 in 2008 and to Survey 6 in 2011 (See Table 4).  Among the 1921-26 cohort the major reason for non-response was non-return of the questionnaire, rising from 4% at Survey 2 to 17% at Survey 6 although up to 9% of participants could not be contacted. Non-respondent women tended to report poorer self-rated health at Survey 1 than respondents. The effects of these losses were evaluated in terms of losses due to death and non-death (Brilleman, S. L., Pachana, N. A., & Dobson, A. J. (2010). The impact of attrition on the representativeness of cohort studies of older people. BMC Medical Research Methodology, 10. doi: 7110.1186/1471-2288-10-71). Brilleman et al. concluded that non-death losses were potentially a greater source of bias than effects of death.

Table 4: Participation and retention of 12,432 women in the 1921-26 cohort of women who were aged 70-75 years at Survey 1 in 1996*

Survey
Age in years  

Survey 2
73-78

Survey 3
76-81

Survey 4
79-84

Survey 5
82-87

Survey 6
85-90

     Deceased

551

1238

2286

3626

5279

     Frailty (e.g. dementia, stroke)

95

302

523

597

790

     Withdrawn

562

1088

1360

1371

1347

Total ineligible

1208

2628

4169

5594

7416

     contacted but did not return survey

481

862

596

640

870

     unable to contact participant

309

295

509

637

91

     Total non-respondents

790

1157

1105

1278

961

Respondents completed survey

10,434

8,647

7,158

5,560

4,055

Eligible at current survey

11,224

9,804

8,263

6,838

5,016

Retention rate as % eligible

93.0%

88.2%

86.6%

81.3%

80.8%

*data known as at 22 March 2016

Six-month follow up surveys of the 1921-26 cohort

From November 2011, shorter surveys containing a set of core questions were mailed to the 1921-26 cohort every six months after the return of the previous survey. Table 5 shows the numbers of eligible participants and respondents at end of each six month period. Response rates have been consistently above seventy percent. The May 2016 six month follow-up survey is not yet complete.

Table 5: Participation in 6-month follow up surveys of the 12,432 women in the 1921-26 cohort (from November 2011 onwards)*

 

May 2012

Nov 2012

May 2013

Nov 2013

May 2014

Nov 2014

May 2015 Nov 2015 March 2016*

Deceased

5,528 5,924 6,225 6,620 6,947 7,285 7,594 7,806 7,868

Withdrawn

 2,337 2,369 2,415 2,356 2,304 2,189 2,130 2,117 2,189

Total ineligible

7,865 8,293 8,640 8,976 9,251 9,474 9,724 9,923 10,057

Non-respondent

1,137

891

959

1,013

1,072

999

991 987 1,249

Respondent

 3,430 3,248 2,833 2,443 2,109 1,959 1,717 1,522 1,126

Total eligible

 4,567 4,139 3,792 3,456 3,181 2,958 2,708 2,509  2,375

Response rate as % of eligible

74.8% 78.7% 74.5% 71.6% 65.9%  65.7% 62.1% 60.2% 48.3%

* data known at 22 March 2016

Comparison of the cohorts with Australian Censuses in 2001, 2006 and 2011

Demographic characteristics (Indigenous status, country of birth, marital status, lone person household, education, and employment) of respondents at each of the surveys have been compared with those of women of the same age in the Australian population, using data from the Australian Census conducted closest to the survey (see (1) Powers, J. (2004) Comparison of the Australian Longitudinal Study on Women’s Health cohorts with women of the same age in the 2001 Census. Technical Report. Newcastle: ALSWH.  At: WHAvsCensus2001Feb2004; (2) Australian Longitudinal Study on Women’s Health (2009). Comparison of the ALSWH cohorts with women of the same ages in the 2006 Census and the 2004/2005 National Health Survey. In: Technical Report No. 32. 111-142; (3) Australian Longitudinal Study on Women’s Health (2013). Comparison of the ALSWH cohorts with women of the same ages in the 2011 Census. In: Technical Report No. 36. 107-135. As was found previously, there was some over-representation of Australian-born women and of women with tertiary education. In addition, ALSWH participants were more likely to be married, be employed and work longer hours than women of the same age in the general population. Some of these differences will be due to differences in the questions asked and the sampling frame i.e. to be selected for ALSWH women must have a Medicare card.

Longitudinal sample for the 1989-95 cohort

In 2012 and 2013, 17069 18-23 year old women were enrolled in the 1989-95 cohort. Women were mainly recruited using the internet and social media platforms. Consistent with the other cohorts, women were required to have a Medicare card. Women completed the online survey and provided consent to linkage of survey data with administrative databases such as Medicare.

Due to this different method of recruiting it was not possible to provide a response rate. Therefore it was necessary to compare the representativeness of the sample with women of the same age in the closest Australian Census (see Table 6). The 1989-95 cohort were broadly representative in terms of area of residence, State and Territory distribution, marital status and age distribution. Women with tertiary education were over-represented.

Table 6: Comparison of sociodemographic characteristics of the 1989-95 cohort of women aged 18 to 23 in 2013 with women of the same age range in the 2011 Australian Census

Table 6.1: Age

Age

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

18

15.2

16.0

 

19

17.5

16.2

 

20

17.2

16.8

 

21

16.5

17.1

 

22

16.9

17.0

 

23

16.7

17.0

Table 6.2: State/territories

 

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

New South Wales

27.8

31.0

 

Victoria

24.0

25.4

 

Queensland

22.3

20.6

 

Western Australia

11.0

10.6

 

South Australia

7.6

7.3

 

Australian Capital Territory

3.3

2.0

 

Tasmania

2.9

2.1

 

Northern Territory

0.8

1.0

Table 6.3: Area of residence

 

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

Major city

75.3

74.5

 

Inner regional

16.6

16.0

 

Outer regional

6.7

7.2

 

Remote

0.8

1.1

 

Very remote

Migratory/no usual address

0.3

N/A

0.9

0.3

 

Missing

0.3

-

Table 6.4: Highest Qualification

 

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

Less than Year 12

7.4

14.9

 

Year 12 or equivalent

43.0

46.1

 

Certificate / Diploma

25.9

21.7

 

University degree

22.5

9.4

 

Missing/not stated/inadequately described

1.2

7.8

Table 6.5: Aboriginal or Torres Strait Islander origin*

 

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

No

97.3

91.9

 

Yes

2.7

3.4

 

Missing

0.0

4.7

Table 6.6: Marital Status

 

1989-95 cohort 2013 (n=17,069)

%

2011 Census (N=847,042)

%

 

Never married

95.5

94.5

 

Married

3.0

4.9

 

Separated/divorced/widowed

0.4

0.6

 

Missing

1.2

-

*n=14,909 as this question was only asked in a later version of the survey

Table 6.7: Participation and retention of 17,013 women in the 1989-95 cohort of women who were aged 18-23 years at Survey 1 in 2013*

Survey
Age in years  

Survey 2
19-24

Survey 3
20-25

     Deceased

1 5

     Frailty (e.g. mental impairment)

1 1

     Withdrawn

681 695

Total ineligible

683 701

     contacted but did not return survey

2362 3880

     unable to contact participant

2624 3471

     Total non-respondents

4986 7351

Respondents completed survey

11,344 8,961

Eligible at current survey

16,330 16,312

Response rate as % eligible

69.5% 54.9%

*data known as at 22 March 2016