Background: Work-family conflict and time scarcity may affect health. We investigated the association between these issues and migraine, taking into account job strain.
Methods: Baseline data from ELSA-Brasil (6,183 women; 5,664 men) included four indicators of work-family conflict: time- and strain-based interference of work with family (TB-WFC, SB-WFC), interference of family with work (FWC) and lack of time for personal care and leisure (LOT). Migraine was classified according to International Headache Society criteria.
Results: Among women, definite migraine was associated with SB-WFC (odds ratio [OR] = 1.28; 95% confidence interval [CI] 1.06-1.55), FWC (OR = 1.32; 1.00-1.75), and LOT (OR = 1.30; 1.08-1.58). Probable migraine was associated with SB-WFC (OR = 1.17; 1.00-1.36). High psychological job demands and low social support interacted with LOT in association with definite migraine. Among men, probable migraine was associated with LOT (OR = 1.34; 1.09-1.64), and there were interactions between job strain and WFC for probable migraine.
Conclusions: Balancing the demands of professional and domestic spheres could be highly relevant in the management of migraines. Am. J. Ind. Med. 59:987-1000, 2016. © 2016 Wiley Periodicals, Inc.
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http://dx.doi.org/10.1002/ajim.22620 | DOI Listing |
Pathol Oncol Res
January 2025
Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
The () gene family is of rising importance as their fusions are oncogenic, and specific target drugs are available to inhibit the chimera proteins. Pan-TRK antibody, which shows the overexpression of the genes, is a useful tool to detect tumors with or without gene alterations, due to high negative predictive value. Though it is well known that pan-TRK immunopositivity is usually not connected to fusion, the role of other possible genetic alterations is under-researched.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
March 2024
Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, United Kingdom.
Background: Current observational methods to understand adolescent-parent interaction are limited in terms of ecological and content validity. We outline initial results and a protocol for future work from a programme of work to: (1) establish a new method for data capture of adolescent-parent interaction at home using wearable cameras and; (2) develop a new relevant and comprehensive observational micro-coding scheme. In Part 1, we report our completed preliminary work, comprised of an initial scoping review, and public engagement work.
View Article and Find Full Text PDFHeliyon
January 2025
Instituto de La Familia, Universidad de La Sabana, Colombia.
Parenting stress is a complex process for parents who feel that the demands of their children upbringing overwhelm their roles. Parenting stress can be associated with anxiety, parental conflict and harsh discipline practices, and the use of coping strategies that positively buffer the effect of these variables on parents. Although the factors associated with parenting stress are well documented, the literature offers few models to explain the stress and the mediation of certain variables on Colombian families.
View Article and Find Full Text PDFBackground: Critical care nurses are vulnerable to depression, which not only lead to poor well-being and increased turnover intention, but also affect their working performances and organizational productivity as well. Work related factors are important drivers of depressive symptoms. However, the non-liner and multi-directional relationships between job demands-resources and depressive symptoms in critical care nurses has not been adequately analyzed.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
December 2024
Department of Pathology and Laboratory Medicine, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA; Department of Pathology, Yale School of Medicine, 20 York Street, Ste East Pavilion 2-631, New Haven, CT 06510, USA. Electronic address:
Aims: The recent widespread use of electronic health records (EHRs) has opened the possibility for innumerable artificial intelligence (AI) tools to aid in genomics, phenomics, and other research, as well as disease prevention, diagnosis, and therapy. Unfortunately, much of the data contained in EHRs are not optimally structured for even the most sophisticated AI approaches. There are very few published efforts investigating methods for recording discrete data in EHRs that would not slow current clinical workflows or ways to prioritise patient characteristics worth recording.
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