Purpose: To assess gender utilization of the Family and Medical Leave Act (FMLA) in radiology practices across the United States.
Methods: The Practice of Radiology Environment Database was utilized to identify U.S. practice leaders, who were asked to complete an electronic survey developed by the ACR Human Resources (HR) Commission. In 2016, new survey questions asked about number of radiologists in each practice who took FMLA, the reasons why, the average number of weeks taken, and how such absences were covered.
Results: Thirty-two percent (579/1815) of practice group leaders responded to the survey and of these, 73% (432/579) answered FMLA questions, with 15% of those (64/432) answering affirmatively that a radiologist in their practice had taken FMLA leave. Reasons for this in 2015 included to care for a newborn/adopted child (49%), because of a personal serious health condition (42%), to care for an immediate family member (8%), or for active military duty (1%). Women took a greater number of weeks of FMLA leave than men for all reasons (care of newborn/adopted child: 10.7 versus 4.7; personal serious health condition: 10.3 versus 8.0; care of immediate family member: 9.7 versus 8.7) except for military duty (24 weeks taken, all by men). At least 69% of leave time was paid, irrespective of reason for leave or gender of person taking it. Most practices (82%) made no workforce changes to cover FMLA leave.
Conclusions: Both genders of radiologists needed absences from work for FMLA-sanctioned reasons.
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http://dx.doi.org/10.1016/j.jacr.2016.08.023 | DOI Listing |
Orphanet J Rare Dis
January 2025
The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Jianshe Rd, Erqi District, Zhengzhou, 450052, Henan, China.
Objective: Spinal muscular atrophy (SMA) is a motor neuron disorder encompassing 5q and non-5q forms, causing muscle weakness and atrophy due to spinal cord cell degeneration. Understanding its genetic basis is crucial for genetic counseling and personalized treatment options.
Methods: This study retrospectively analyzed families of patients suspected of SMA at our institution from February 2006 to March 2024.
BMC Public Health
January 2025
Department of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.
Background: Understanding the determinants of life expectancy (LE) is essential for effective policy planning and enhancing public health in the Gulf Cooperation Council (GCC) countries. This study aims to elucidate the complex interactions among sociodemographic (SD), macroeconomic (ME), and health resource (HR) factors that influence LE among the GCC countries.
Methods: We employed a Meta-Analytic Structural Equation Modeling to develop a comparative model across six GCC countries using annual data from 1990 to 2020.
Sci Rep
January 2025
Family Health and Population Growth Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
This study investigates trends and patterns in self-harm incidence rates among individuals aged 10-39 years in Iran from 1990 to 2019. Using Age-Period-Cohort (APC) analysis, it aims to identify significant age, period, and cohort effects, and to highlight gender-specific trends for effective prevention strategies. Utilizing data from the Global Burden of Disease (GBD) study, we performed an APC analysis to assess trends in self-harm incidence rates by gender.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Public Health Science, Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden.
Intimate Partner Violence (IPV) during pregnancy poses a serious threat to maternal health, particularly in low- and lower-middle-income countries (LMICs). Despite these known risks, the role of spousal educational differences in IPV during pregnancy remains poorly understood. This study aimed to examine this influence, analyzing data from multiple countries across five continents.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!