↓ Skip to main content

The association between pelvic girdle pain and sick leave during pregnancy; a retrospective study of a Norwegian population

Overview of attention for article published in BMC Pregnancy and Childbirth, October 2015
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
56 Mendeley
Title
The association between pelvic girdle pain and sick leave during pregnancy; a retrospective study of a Norwegian population
Published in
BMC Pregnancy and Childbirth, October 2015
DOI 10.1186/s12884-015-0667-0
Pubmed ID
Authors

Stefan Malmqvist, Inger Kjaermann, Knut Andersen, Inger Økland, Jan Petter Larsen, Kolbjørn Brønnick

Abstract

The incidence of pelvic girdle pain (PGP) in pregnancy is wide ranged depending on definition, the utilised diagnostic means, and the design of the studies. PGP during pregnancy has negative effects on activities of daily living and causes long sick leave, which makes it a major public health issue. Our objectives were to explore the frequency of sick leave in pregnancy due to PGP, assess the relationship between different types of pain-related activities of daily living, examine physical workload, type of work in relation to sick leave, and to explore factors that make women less likely to take sick leave for PGP. All women giving birth at the maternity ward of Stavanger University Hospital, Norway, were asked to participate and complete a questionnaire on demographic features, PGP, pain-related activities of daily living, sick leave in general and for PGP, frequency of exercising before and during pregnancy. Drawings of pelvic girdle and low back area were used for the localization of pain. PGP intensity was then rated retrospectively on a numerical rating scale. Non-parametric tests, multinomial logistic regression and sequential linear regression analysis were used in the statistical analysis. PGP is a frequent and major cause of sick leave during pregnancy among Norwegian women, which is also reflected in activities of daily living as measured with scores on all Oswestry disability index items. In the multivariate analysis of factors related to sick leave and PGP we found that work satisfaction, problems with lifting and sleeping, and pain intensity were risk factors for sick leave. In addition, women with longer education, higher work satisfaction and fewer problems with sitting, walking and standing, were less likely to take sick leave in pregnancy, despite the same pain intensity as women being on sick leave. A coping factor in pregnant women with PGP was discovered, most likely dependant on education, associated with work situation and/or work posture, which decreases sick leave. We recommend these issues to be further examined in a prospective longitudinal study since it may have important implications for sick leave frequency during pregnancy.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Bachelor 8 14%
Student > Doctoral Student 8 14%
Student > Ph. D. Student 6 11%
Student > Postgraduate 4 7%
Other 13 23%
Unknown 5 9%
Readers by discipline Count As %
Medicine and Dentistry 21 38%
Nursing and Health Professions 9 16%
Unspecified 4 7%
Arts and Humanities 3 5%
Neuroscience 3 5%
Other 7 13%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2016.
All research outputs
#6,460,364
of 7,458,268 outputs
Outputs from BMC Pregnancy and Childbirth
#1,439
of 1,534 outputs
Outputs of similar age
#220,207
of 263,760 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#66
of 69 outputs
Altmetric has tracked 7,458,268 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,534 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.