Measuring the impact of awareness to information on Women’s Longevity

Published: 9 December 2021| Version 3 | DOI: 10.17632/5pf5p88jrp.3
Contributor:
Gabriel Magen

Description

Life expectancy as a statistical measure of the average time humans are expected to live is based on countless parameters and variables. Year of birth, demographics, gender, ethnic group and immigration, education, income, habits and lifestyle are just some of them. In recent decades, life expectancy has risen by tens of percent and this fact has a multitude of reasons. Many questions are raised about Life expectancy and its ability to influence it, and these questions are troubling to many researchers and the general population. These questions and studies have been growing in recent years in light of the understanding that Life expectancy significantly affects the personal and global economy which affects the personal resilience of the public and the resilience of the country and its systems. These effects, economic and business, are significant and very wide-ranging and the world is shaping its future in light of these effects as I will count in a number of examples such as: impact on health systems and the need for additional funding, employment and job vacancies, impact on benefits and pensions, insurance and redemptions, longer-term savings and loans, the creation of more diverse places of entertainment and employment for the elderly, and many other diverse economic and business impacts. There are many approaches that present themselves as influencing statistics and the ability to improve Life Expectancy, some complement each other and others contradict each other. Therefore, these questions do not receive unequivocal answers and are still very much hidden. Right now, different sections of the population are adopting different approaches in the hope that these will affect their longevity, is there a proven impact? Does Life Expectancy stand on its own or does it also depend on Quality of life? In this research, advanced statistical tools will be used which will try to predict the Life expectancy of an individual and allow them to adopt an approach that is individually appropriate while changing parameters and variables (parameters that are not dependent on existing fact) that will improve the Life expectancy and Quality of life. This study will examine the impact of Life expectancy on women, reflecting practical results that indicate the gender population. In addition to the above, this hypothesis is even more powerful these days when we all experience the epidemic that is underway around the world following the covid-19 virus and its impact on the different populations and its Life expectancy.

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Steps to reproduce

The research is a type of quantitative correlative research. The methodology I used is: a. Define the population required for the research, people above the age of 60. b. Assembling longevity questionnaires with parameters related to longevity, biography, medical and lifestyle information related information. c. Gathering the data by google forms. d. Normalizing the data and removing non relevant results. e. Running descriptive analytics using JASP. f. Running correlative analytics by JASP. g. Gathering parameters with High correlations. h. Finding reasons for the high correlation parameters. i. Concluding and suggesting. k. Summary.

Categories

Life Sciences, Business Administration, Biology of Gender, Life-Span, Life-History Theory, Business Analytics, Life Style, Business Informatics, Life Expectancy

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