Review or
Commentary on ‘Pregnancy intention and postpartum depression: secondary data
analysis from a prospective cohort’
Secondary data refers to data that was collected by someone
other than the user. Common sources of secondary data for social science include censuses,
information collected by government departments, organisational records and
data that was originally collected for other research purposes. Primary data,
by contrast, are collected by the investigator conducting the research.
Secondary data analysis can save time
that would otherwise be spent collecting data and, particularly in the case of quantitative data, can provide larger and higher-quality databases that
would be unfeasible for any individual researcher to collect on their own. In
addition, analysts of social and economic change consider secondary data
essential, since it is impossible to conduct a new survey that can adequately
capture past change and/or developments. However, secondary data analysis can
be less useful in marketing research, as data may be outdated or inaccurate. Secondary
data can be obtained from different sources:
· information
collected through censuses or government departments like housing, social
security, electoral statistics, tax records
·
internet
searches or libraries
·
progress
reports
During pregnancy and early motherhood
women have an increased risk of depression, which remains a significant
contributor to maternal death rates in the UK (Oates, BJOG 2011;118:134–41). Postnatal
depression (PND) is a form of clinical depression and includes symptoms of
fatigue, diminished interest and pleasure in activities, social withdrawal,
sadness and hopelessness in the period following childbirth. The problem of
PND is widespread, and it is estimated that one in ten women will be affected
by depression during any month in the first year after giving birth (Gavin et
al., Obstet Gynecol 2005;106:1071–83).The consequences
of depression during the postpartum period are not limited to the mother
alone and it can lead to difficulties in mother–infant bonding, relationships and child development.
A number of risk factors for PND have been
studied in efforts to improve identification, prevention and treatment for
women at risk. The findings of this study highlight that pregnancy intention
may be an important contributing factor to postnatal maternal depression,
with unintended or unwanted pregnancies resulting in a three- to five-fold
increase in risk. Interestingly, although for most women the risk of
depression decreases over the first postnatal year, the authors report a
higher risk at 12 months postpartum for women with unintended pregnancies and
an increase in risk over time for women with an unwanted pregnancy. This
emphasises that women who have unintended pregnancies may have a specific
risk for more protracted depression following childbirth and require more
long-term monitoring and treatment.
One of the strongest predictors of PND is a
history of depression, and over 50% of women who experience depression during
or following pregnancy are likely to have had an episode of depression in the
9 months before pregnancy (Dietz et al., Am J
Psychiatry 2007;164:1515–20). However, many
studies fail to measure mothers’ prenatal depression and therefore lack the
ability to determine whether postnatal episodes of depression represent new
onsets of depression or continuations of previous episodes. In this study,
the absence of a measure of prepregnancy depression reduces the certainty of
the directionality of the association between postpartum depression and
unintended pregnancy, because women who are depressed may also be more likely
to have an unintended pregnancy. Further studies of perinatal depression
should endeavour to account for pre-existing depression as well as potential
social patterning of PND in women with unintended pregnancies.
Nevertheless, given that unintended
pregnancy is a likely risk factor for depression, awareness that a pregnancy
was unintended should further prompt clinicians to screen for depression both
during and after pregnancy. Approximately 50% of pregnancies are reported to
be unintended and further research is warranted to determine the benefits of
routine enquiries about pregnancy intention at antenatal visits.
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Minggu, 01 Januari 2017
Review Journal that Using Secondary Data Analysis: Pregnancy Intention and Postpartum Depression: Secondary Data Analysis from A Prospective Cohort
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