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Labor Policies for Demographic Challenges
Published in Walter Amedzro St-Hilaire, Global Strategic Challenges, 2022
These strong disparities also concern life expectancy in general. Life expectancy varies by gender, education, income, wealth, lifestyle, working conditions, environment and genetics. The difference in life expectancy by income, for example, is one of the telling statistics in our report (income is not necessarily the cause of the difference, but it is to a large extent an observable proxy for the factors that cause the difference, such as type of employment, etc.). At age 62, a man in the lowest income decile has 19.5 years of life expectancy, compared to 26 for a man in the highest decile. In other words, if these two men retire at the same age, one can expect to live 6.5 years less than the other. The difference by income level is slightly smaller among women, but still significant, at 5 years between the bottom and top decile.
EEG-Based Neurofeedback Game for Focus Level Enhancement
Published in Mridu Sahu, G. R. Sinha, Brain and Behavior Computing, 2021
Humaira Nisar, Han Shen Chong, Saeed Mian Qaisar, Yeap Kim Ho, Chuang Huei Gau
With the improvement in healthcare in recent times a significant increase in life expectancy has been observed. Although this is a positive outcome of advanced medicine and healthcare, an increase in age-related cognitive decline has also been observed. Some examples of age related cognitive decline are slower processing speed, deficit in inhibitory processing, decline in executive functions such as cognitive flexibility, attention, and working memory [1]. In addition to the cognitive decline observed in aging populations, behavioral disorders and psychological symptoms also result in cognitive decline in otherwise non-aging population. Daily stress in an otherwise healthy population has also been associated with reduction in attentional resources. Hence, there should be a mechanism to counter the effect of cognitive decline. This need for improvement in the overall well-being of the human population has given rise to different types of therapies, one of which is electroencephalography (EEG)-based neurofeedback (NF) [2].
Stem Cell Banking for Regenerative and Personalized Medicine
Published in Shaker A. Mousa, Raj Bawa, Gerald F. Audette, The Road from Nanomedicine to Precision Medicine, 2020
The average human life expectancy has significantly increased due to advances in medical research and improvements in general life style. Unfortunately, however, human aging is associated with many clinical disorders and an inability of the body to maintain tissue turnover and homeostasis. As a result, the number of elderly medical patients have also significantly increased, making them a major target population that could potentially benefit from cell based therapies. As autologous cell sources are preferred for economical and logistical reasons, the effect of donor age on regenerative potential should be determined before clinical use. In recent years, many studies have demonstrated the clinical potential of mesenchymal stem cells (MSCs), both in vivo and in vitro [7, 145]. However, using MSC collected from the elderly who are most likely to benefit from this technology raises some concerns.
Role of Big Data Analytics in supply chain management: current trends and future perspectives
Published in International Journal of Production Research, 2021
Sumit Maheshwari, Prerna Gautam, Chandra K. Jaggi
BDA has changed the environment of the healthcare sector by managing and analyzing the data. Health care is one of the most promising areas in which BDA can be used. Health analysis can potentially reduce health care costs, predict epidemics, prevent preventable diseases, and often improve quality of life. The average life expectancy of human beings has increased worldwide, introducing new treatments and new challenges. Healthcare professionals, such as entrepreneurs collect large amounts of data and find the best strategies by using these numbers. BDA is a large amount of information created by digitisation of the processes, and it analyzes and integrates the specific technologies by using the data. The application of BDA in healthcare has gained a lot of positive and life-saving effects.
Driving under the influence of substances and motor vehicle fatalities among older adults in the United States
Published in Traffic Injury Prevention, 2023
Satish Kedia, Asos Mahmood, Lu Xie, Yu Jiang, Patrick Dillon, Nikhil Ahuja, Hassan Arshad, Coree Entwistle
Life expectancy in the United States (U.S.) is projected to increase to 85.6 years in 2060, up from 79.7 years in 2017 (Vespa et al. 2018). The number of adults aged 65 years and older is estimated to reach 95 million by 2060, a figure that equates to nearly 25% of the projected U.S. population (Vespa et al. 2018). Recent evidence suggests that most older adults in the U.S. desire to maintain their independence as they age, with approximately 75% stating their preference to age in place within their own communities. These older adults also report that they would not consider alternative living conditions like home-sharing or assisted-living facilities as long as they do not need help with everyday activities, such as transportation or household chores (Binette and Vasold 2018).
Updating threshold for IMO cost-benefit assessment
Published in Ship Technology Research, 2023
Rainer Hamann, Jakub Cichowicz
The data for life expectancy at birth is available for all OECD countries until 2020 and Figure 4 shows the development of life expectancy at birth for some of the OECD countries. Only small changes in life expectancy are observed over this period with a slight increase for most of the countries until 2019 followed by a decrease in 2020, most likely caused by the pandemic. For the period 2016–20, life expectancy at birth varies between −1.8% (USA) and 1.4% (Ireland) but on average for all OECD countries no relevant change is observed.