Literature DB >> 11571101

Influence of pregnancy-related diagnoses on sick-leave data in women aged 16-44.

A Sydsjö1, G Sydsjö, K Alexanderson.   

Abstract

Data on sickness absence frequently are used as a measure of morbidity and its social consequences in the employed population. The effects of sickness absence, as well as any possible differences in diagnoses among pregnant women as compared the sick leave data among the total population of women in fertile age have so far not been studied. The aim of this study was to investigate the relative contribution of pregnant women to the level of sickness absence, in general and in different diagnostic groups, as well as the extent to which sick-listed pregnant women can be identified through diagnoses on sickness certificates. In a cross-sectional study of all sick leave insured women aged 16-44 years (n = 24,481) in Linköping, Sweden (117,000 inhabitants), data from two population-based research registers were used, one of sickness absence for the whole population, one of sickness absence among pregnant women in the same population and year. Pregnant women (5%) had a significantly higher cumulative incidence of sickness absence (0.64) compared with all women (0.18) and accounted for 20% of the women listed as absent because of sickness. The duration of the sickness absence was also significantly longer among pregnant women, 44.8 days compared with 9.7 days among all women. Practically all diagnoses among pregnant women were related to pregnancy or back pain (93%). When using diagnoses on the sickness certificates, only 46% of all sick-listed pregnant women could be identified, suggesting methodological difficulties in studies on sickness absence. Studies on sickness absence among women of fertile age should also contain information on the proportion of sick-listed pregnant women, as a small proportion of pregnant women may have a deep impact on the results and conclusions among all women.

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Year:  2001        PMID: 11571101     DOI: 10.1089/15246090152563597

Source DB:  PubMed          Journal:  J Womens Health Gend Based Med        ISSN: 1524-6094


  7 in total

1.  Childbirth, hospitalisation and sickness absence: a study of female twins.

Authors:  Emma Björkenstam; Kristina Alexanderson; Jurgita Narusyte; Linnea Kjeldgård; Annina Ropponen; Pia Svedberg
Journal:  BMJ Open       Date:  2015-01-08       Impact factor: 2.692

2.  Obstetricians/Gynecologists' Problems in Sickness Certification Consultations: Two Nationwide Surveys.

Authors:  Catharina Gustavsson; Elin Hinas; Therese Ljungquist; Kristina Alexanderson
Journal:  Obstet Gynecol Int       Date:  2016-11-17

3.  Childbirth, morbidity, sickness absence and disability pension: a population-based longitudinal cohort study in Sweden.

Authors:  Mo Wang; Krisztina D László; Pia Svedberg; Lotta Nylén; Kristina Alexanderson
Journal:  BMJ Open       Date:  2020-11-24       Impact factor: 2.692

4.  "Struggling with daily life and enduring pain": a qualitative study of the experiences of pregnant women living with pelvic girdle pain.

Authors:  Margareta Persson; Anna Winkvist; Lars Dahlgren; Ingrid Mogren
Journal:  BMC Pregnancy Childbirth       Date:  2013-05-13       Impact factor: 3.007

5.  Does postponement of first pregnancy increase gender differences in sickness absence? A register based analysis of Norwegian employees in 1993-2007.

Authors:  Anja M S Ariansen; Arnstein Mykletun
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

6.  Exposure to occupational hazards for pregnancy and sick leave in pregnant workers: a cross-sectional study.

Authors:  Jean-Bernard Henrotin; Monique Vaissière; Maryline Etaix; Mathieu Dziurla; Stéphane Malard; Dominique Lafon
Journal:  Ann Occup Environ Med       Date:  2017-05-15

7.  Systematic review of interventions targeting sickness absence among pregnant women in healthcare settings and workplaces.

Authors:  Pernille Pedersen; Merete Labriola; Claus Vinther Nielsen; Rikke Damkjær Maimburg; Ellen Aagaard Nohr; Anne-Mette Momsen
Journal:  BMJ Open       Date:  2018-10-25       Impact factor: 2.692

  7 in total

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