Objective: To characterize the lifestyles of administrative assistants in a hospital, in order to define health promotion strategies in the workplace.
Method: A quantitative, descriptive, cross-sectional study, carried out with administrative assistants (N = 167) of a medium-sized Portuguese hospital. The data were collected through a questionnaire (QEV&PS-SO) for sociodemographic characterization and analysis of health determinants related to lifestyles.
Results: It was observed that 54% of the sample did not practice physical exercise, 52% had four or fewer meals a day, 29% were smokers, 51% had insomnia, and 45% had no health surveillance, as well as 51.5% were overweight or obese and 63% had an increased or very increased risk of developing metabolic complications. No significant differences were identified in relation to weight, physical exercise or stress according to sex or age.
Conclusion: The results support the need to develop intervention programs with strategies aimed at promoting healthy lifestyles among workers in health institutions, to be comprehensively integrated within the scope of occupational health.
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http://dx.doi.org/10.1590/1980-220X-REEUSP-2022-0198en | DOI Listing |
Psychiatry Clin Psychopharmacol
December 2024
Department of Psychology, Ibn Haldun University Faculty of Humanities and Social Sciences, İstanbul, Türkiye.
Background: The aim of this quantitative study conducted with 5008 individuals aged 15 and above in 12 provinces across Turkey was to determine the prevalence and significant variables of gambling behavior in our country and to examine the gambling behaviors, perceptions, thoughts, and attitudes of this population towards gambling. The goal is to generate concrete, original, culturally sensitive, feasible, and effective recommendations for preventive and risk-reducing policies. It is the first and only comprehensive investigation into gambling behavior in Turkey, offering guidance in this field.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Conservative Dentistry & Endodontics, Narayana Dental College and Hospital, Nellore 523004, Andhra Pradesh, India.
Artificial intelligence (AI) is an area of computer science that focuses on designing machines or systems that can perform operations that would typically need human intelligence. AI is a rapidly developing technology that has grabbed the interest of researchers from all across the globe in the healthcare industry. Advancements in machine learning and data analysis have revolutionized oral health diagnosis, treatment, and management, making it a transformative force in healthcare, particularly in dentistry.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Service de Biostatistiques et d'Information Médicale (DIM), CHU Dijon Bourgogne, 21000 Dijon, France.
Background: Recent publications suggest that the threshold for validation of the learning curve is 25 procedures. The aim of this study was to evaluate this threshold using another rarely used method, based on a composite quality indicator.
Methods: We included all patients from the French medico-administrative database receiving robot-assisted surgery for lung cancer, with a focus on hospitals performing at least 25 procedures over the period 2019-2022.
Because of the lengthening of their life-expectancy, more people with cystic fibrosis (CF) now pursue parenthood. To explore the experience of parenting while having CF, 18 French parents with CF were interviewed (including 12 mothers and 9 participants with a lung transplant). A thematic analysis of the interview transcripts was conducted.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
Cora Peterson, Centers for Disease Control and Prevention.
More than 60 percent of US adults report that they had adverse childhood experiences (ACEs). For this study of 930,000 children born during the period 1999-2003, we used linked administrative, survey, and criminal justice data to measure the association between ACEs (parental death; separation; incarceration; or criminal charge for intimate partner violence, substance use disorder, or child sexual or nonsexual abuse) and socioeconomic disadvantages at ages 18-22 during 2017-21. After childhood socioeconomic status was controlled for, young adults with ACEs were more likely to have been charged with felonies, have become teenage parents, live in a household with poverty or housing assistance, be enrolled in Medicaid, and be employed, and were less likely to be enrolled in an educational institution.
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