ABSTRACT
Introduction: Modernization has led to greater usage of Air Conditioners (ACs) in our daily lives. It is observed that the occupants of office buildings with ACs consistently report on average more symptoms than do occupants of office buildings with natural ventilation referred to as Sick Building Syndrome (SBS). The appearance of symptoms reduces work efficiency and increases absenteeism due to sickness (sickness absenteeism). Therefore, the present study was planned to evaluate the impact of usage of ACs on SBS and to find out the association of ACs with sickness absenteeism and lung function tests. Materials and Methods: This study was conducted on 200 healthy non-smoker adults in the age group of 18 to 45 years who were using ACs for at least 6 to 8 h/day for more than 2 years (group I). And 200 healthy adults, age and gender-matched, with the same work pattern, not using ACs at all served as controls (group II). The basic information on the usage of ACs and the prevalence of discomfort related to neural symptoms, respiratory symptoms, and skin and mucous membrane related to SBS was obtained through a questionnaire. Results: The building-related symptoms in group I males were more compared to group II males and significantly higher in group I males compared to females. We observed that the appearance of symptoms of SBS led to sickness absenteeism among group I participants. Lung function tests especially FVC, FEV1, PEFR, and MVV were significantly reduced among group I males and females compared to group II males and females. Conclusion: ACs have a profound effect on the quality of the air we breathe and on human health than just lowering the temperature. There is a higher prevalence of SBS-Respiratory and allergic symptoms in AC users.
ABSTRACT
Artificial intelligence (AI) is transforming healthcare, offering potential benefits and challenges. In healthcare, AI enhances efficiency, streamlines processes, and supports decision-making. However, challenges include potential errors and biases in algorithms, data privacy concerns, legal and ethical issues, and resistance to change. In nursing, a delicate balance emerges between AI and human touch. While AI aids in data-driven decision-making and administrative tasks, it lacks the emotional intelligence, empathy, and nuanced understanding crucial to nursing care. Nurses excel in critical thinking, adaptability to dynamic situations, patient advocacy, collaboration, and establishing human connections. AI supports these functions by automating routine tasks and offering decision support tools, yet its rigidity in dynamic situations and lack of human touch pose limitations. This review underscores the necessity of careful AI integration in healthcare, acknowledging its advantages while mitigating drawbacks. In nursing, the symbiosis between AI and human qualities is vital. The role of AI should be to complement, not replace, the unique skills and empathetic aspects of nursing care. Addressing concerns related to bias, transparency, data privacy, and professional training is essential for maximizing the benefits of AI in healthcare while preserving the human touch in patient care. This article explores whether AI can replace unique nursing roles.
ABSTRACT
Brain-derived neurotrophic factor (BDNF), which is expressed at high levels in the limbic system, has been shown to regulate learning, memory and cognition. Thyroid hormone is crucial for brain development. Hypothyroidism is a clinical condition in which thyroid hormones are reduced and it affects the growth and development of the brain in neonates and progresses to cognitive impairment in adults. The exact mechanism of how reduced thyroid hormones impairs cognition and memory is not well understood. This review explores the possible role of BDNF-mediated cognitive impairment in hypothyroid patients.
