Impact of Bad Habits, Health Condition, Education, Birth Control, Religion, Career on Pregnancy Success Using Big Data Analysis
Abstract
Pregnancy is an important contributor to the impact on the demographic and economic situation of countries. However, worldwide statistics reported a drastic drop in the number of pregnancy. This study used the ICPSR National longitudinal study of young adults (aged 24–32) datasets to analyze the influence of self-status on the number of adult pregnancy in the U.S. Two datasets are merged, cleaned and transformed (N=4345). SPSS is used to analyze the correlation between self-status from perspectives (37 bad habits variables, 47 health conditional variables, 7 educational variables, 21 birth control variables, 6 religion variables, 41 career variables busyness) and the amount of pregnancy. The results of the Pearson correlation show that 26 variables of bad habits, 4 health condition variables, 4 variables of education level variables, 6 variables of birth control, 2 religion variables and 8 variables of work activity are significantly related to the amount of pregnancy. This study is important in providing information for future research on the construction of predictive modeling of adolescent self-status and their pregnancy number to increase the drastically decreasing pregnancy rate in the recent years to maintain the stability of demographic, improve the human capital in society, and economic sustainability. © (2024), (Elite Scientific Publications). All rights reserved.
Author(s)
Tin, Ting Tin, Chuan, Lee Shir, Lin, Chan Kai, Yan, Liow Zheng, Salau, Ayodeji Olalekan
Year
2024
Countries
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Early pregnancy/marriage | Excel Import
Full Citation Style
Research Team
Tin, Ting Tin
Chuan, Lee Shir
Lin, Chan Kai
Yan, Liow Zheng
Salau, Ayodeji Olalekan
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