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Doctoral
Thesis: A longitudinal analysis of Oral
Contraceptive Pill (OCP) use
Supervisors:
A/Professor Gillian Heller & Dr Anne Young
University: Macquarie
University
This project
used data from the ALSWH, in particular the first three
surveys of the Younger cohort of women. The three main
objectives of this project were:
• to describe the users of contraception at Survey
1 in terms of their socio-demographic factors, health
status and health risk behaviours
• to describe the long-term users of the Oral
Contraceptive Pill (OCP) in terms of their socio-demographic
factors, health status and health risk behaviours and
• to determine the long-term association between
OCP use and health related quality of life among younger
women.
A contraceptive status variable was created at each
of the three surveys and categorised each woman into
one of seven groups as shown in the table below.
Table
1.1. Contraceptive status for younger women who completed
surveys.
| |
Survey
1 (N=14,247) |
Survey
2
(N=9,688) |
Survey
3
(N=9,081) |
| Category |
% |
% |
% |
| Pregnant
now – don’t need contraception |
3 |
5 |
9 |
| Don’t
need contraception – Other |
23 |
14 |
15 |
| Choose
not to use contraception |
2 |
5 |
6 |
| Oral
Contraceptive Pill (OCP) only |
37 |
42 |
33 |
| OCP
and any other contraceptive |
14 |
14 |
13 |
| Condom
alone or other contraceptives (No OCP) |
18 |
15 |
16 |
| Other
contraceptives only (No OCP/condoms) |
3 |
6 |
8 |
Area
of residence was significantly associated with contraceptive
use (p<.0001), with the percentage of young women
using any form of contraception at Survey 1 being higher
in the rural and remote areas of the country. After
adjusting for area of residence, Young women at Survey
1 using contraception were more likely to be Australian-born
or from an English-speaking background (ESB), be in
a defacto relationship, be older, not currently studying
and had more difficulty managing on their income. Women
who consumed alcohol at a risky levels and those who
were current smokers were the most likely to be users
of contraception.
In the second stage of the project a dichotomous indicator
variable of current OCP use (Yes/No) at each of the
three surveys was created. These three variables were
then combined to define eight patterns of OCP usage.
For ease of interpretation and due to some small sample
sizes, these eight patterns were collapsed into five
groups shown in the table below. The sample of women
included in the analysis was restricted to women who
were long-term ALSWH participants, had complete contraception
data and had not had a baby (n=5161).
The patterns of use of OCP were associated with different
socio-demographic characteristics and health related
behaviours. For example, women who were long-term OCP
users were more likely than other women to have more
education; manage on their income without difficulty;
be in a stable relationship (de facto or married); be
in the healthy weight range; have moderate or high levels
of physical activity and drink alcohol at low risk levels
(not harmful to their health).
Table
1.2. OCP usage of younger women.
Category |
Pattern |
N |
% |
| Long-term
user of OCP |
YYY |
1433 |
28 |
| Start
using OCP |
NYY |
1177 |
23 |
| |
NNY |
|
|
| Stop
using OCP |
YNN |
978 |
19 |
| |
YYN |
|
|
| Intermittent
use of OCP |
YNY |
595 |
12 |
| |
NYN |
|
|
| No
usage of OCP |
NNN |
978 |
19 |
The
third part of the project investigated whether changes
in health-related quality of life between Surveys 1
and 3 were associated with levels of OCP usage. Longitudinal
analysis was carried out using the method of generalized
estimating equations (GEE) to analyze longitudinal measures
of health-related quality of life (measured with three
of the SF-36 subscales at Surveys 1, 2 and 3) in relation
to OCP usage.
The results of this study showed that long-term users
of OCP had equal or better quality of life according
to the General Health (GH), Mental Health (MH) and Vitality
(VT) subscales of the SF-36, than other women their
age, once adjustments were made for area of residence,
comorbidity, level of education and smoking. The inclusion
of the OCP user variable in each of the three models
was significant thus indicating that there is a general
effect of OCP use. That is, there is on average a difference
in MH, GH and VT between the different groups of women
defined by their OCP use.
There are some limitations to this study which include
missing data (due to women failing to answer some questions
in the survey), and inconsistencies with the data (e.g.
a participant may not have followed the instructions
correctly or may have contradicted themselves across
time). Another limitation is that the data are obtained
through self-report at only three timepoints in a 7-year
period and this analysis makes the assumption that their
self-reported behaviours have continued, which they
may or may not have done. Also, due to initial recruitment
and retention bias, a number of minority groups may
be underrepresented in this study. Finally, another
limitation is that variables to reflect transitions
over time could have been investigated more thoroughly
for their inclusion as covariates in the model. More
complex longitudinal models to incorporate changes over
time for these young women could be explored. The potential
association of long-term OCP use and adverse outcomes
such as cancer could not be studied yet due to the lag
time in the development of these conditions.
Until now, there has been very little evidence regarding
young Australian women’s OCP usage and its association
with long-term health. The results of this study indicate
that among women who have not had a baby, use of OCP
may carry some benefits in terms of quality of life
and this study has not shown any detrimental effects
of OCP use among these younger women.
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