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FRIMEDBIO-Fri prosj.st. med.,helse,biol

Pelvic girdle pain in pregnancy: Endocrine risk factors, physical activity and prognosis.

Tildelt: kr 3,6 mill.





2008 - 2012


Background: Pelvic girdle pain affects one in five pregnant women, gives rise to functional disabilities and is a major cause of sick leave in pregnancy. Hence, pelvic girdle pain should be regarded as a major women's health issue. Nevertheless, the aetio logy is poorly understood. Pregnancy represents rapid physiological changes, which includes vast hormonal changes. As pelvic girdle pain is pregnancy-induced, one or more pregnancy hormones are likely to be closely linked to the aetiology. Systematic know ledge of causes and prognosis is scarce, however essential in order to prevent and treat pelvic girdle pain. Aims: Our aims are to identify endocrine risk factors of pelvic girdle pain, study the association of pelvic girdle pain with leisure time and oc cupational physical activities, as well as identify prognostic factors. Methods: The analyzes will be based on data from The Norwegian Mother and Child Cohort, which is a population based, national, questionnaire study. The data collection is performed several times both during and after pregnancy. 83 000 pregnancies were recorded by March 2007. Detailed questions concerning pelvic girdle pain are included at many points of measure. The questionnaires also contain detailed information on potential risk factors. The data are linked to The Norwegian Medical Birth Registry. Multivariate regression models will be applied in analyzes. Scientific relevance: The limited knowledge of the causes of pelvic girdle pain in pregnancy, points out the need for more research. This study includes many research questions related to endocrine factors, physical activity and prognosis that have previously been insufficiently studied. Knowledge of such factors is important in a health management perspective. Long term foll ow-ups and wide geographical coverage make The Norwegian Mother and Child Cohort unique. The large sample size makes it possible to detect effects of rare exposures.


FRIMEDBIO-Fri prosj.st. med.,helse,biol