Objective: To investigate associations of morbidity with subsequent sickness absence (SA) and disability pension (DP) among initially nulliparous women with no, one or several childbirths during follow-up.
Design: Longitudinal register-based cohort study.
Setting: Sweden.
Participants: Nulliparous women, aged 18 to 39 years and living in Sweden on 31 December 2004 and the three preceding years (n=492 504).
Outcome Measures: Annual mean DP and SA days (in SA spells >14 days) in the 3 years before and after inclusion date in 2005.
Methods: Women were categorised into three groups: no childbirth in 2005 nor during the follow-up, first childbirth in 2005 but not during follow-up, and having first childbirth in 2005 and at least one more during follow-up. Microdata were obtained for 3 years before and 3 years after inclusion regarding SA, DP, mortality and morbidity (ie, hospitalisation and specialised outpatient healthcare, also excluding healthcare for pregnancy, childbirth and puerperium). HRs and 95% CIs for SA and DP in year 2 and 3 after childbirth were estimated by Cox regression; excluding those on DP at inclusion.
Results: After controlling for study participants' prior morbidity and sociodemographic characteristics, women with one childbirth had a lower risk of SA and DP than those who remained nulliparous, while women with more than one childbirth had the lowest DP risk. Morbidity after inclusion that was not related to pregnancy, childbirth or the puerperium was associated with a higher risk of future SA and DP, regardless of childbirth group. Furthermore, morbidity both before and after childbirth showed a strong association with SA and DP (HR range: 2.54 to 13.12).
Conclusion: We found a strong positive association between morbidity and both SA and DP among women, regardless of childbirth status. Those who gave birth had lower future SA and DP risk than those who did not.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689079 | PMC |
http://dx.doi.org/10.1136/bmjopen-2020-037726 | DOI Listing |
Cureus
December 2024
Department of Cardiovascular Medicine, Faculty of Medicine, Tottori University, Yonago, JPN.
The purpose of this study is to examine the pregestational BMI value that results in insulin use in Japanese patients with gestational diabetes mellitus (GDM) and to assess whether the type of GDM treatment affects postpartum glucose tolerance. This retrospective study included 21 GDM patients treated until parturition at our department from 2013 to 2017. We calculated the pregestational BMI related to insulin treatment and the significant elevation in homeostasis model assessment of insulin resistance (HOMA-IR) by receiver operating characteristics curve (ROC) analysis.
View Article and Find Full Text PDFArch Pathol Lab Med
January 2025
From the Divisions of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas (Gan, Y Ding, Wu, Zhang, Meng, QQ Ding, Han).
Objective.—: To report the isolation and significance of C kroppenstedtii, features of patients with GLM, pathologic findings and mechanism, bacteriologic workup, and optimal treatment.
Design.
Prenatally diagnosed intracranial hemorrhage in the fetus is associated with a wide range of neonatal disorders, from completely uncomplicated physiological development to severe neurological impairment or death. The incidence is 0.6-1/1,000 births.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda
Objectives: Empowering communities through identifying and unlocking community capacities and capabilities is vital for improving community health systems. This study assessed the community health system's status quo and readiness for implementing a government-led, partner-supported community health worker project.
Design: A mixed methods cross-sectional study.
BMC Pregnancy Childbirth
January 2025
Department of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!