Factorizing social advanced aspects in modern life on human health
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Abstract
The emergence of technology has brought about a dramatic shift in different aspects of life, especially the aspect of societal advancement. As people adapt to such transformation, it is undoubted that their lifestyles adapt as well. However, whether such changes oppose the well-being of an individual and whether there is a relationship between daily habits and health condition is an interesting topic that this research is going to focus on. Meanwhile, the benefits of implementing data analysis have been proven regarding understanding statistical problems. On such account, this work is going to use the powerful method of data analysis into investigating the relationship between lifestyle and health conditions, with the practice of big data sets deploying R programming language. The procedure from gathering to interpreting data is going to be introduced, and the result is then placed in comparison with related existing studies. By doing so, it has shown that the result has reflected accurately the topics and thus, given evidence for the potential of analyzing the connection between habitual practice and health status.
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References
Arlinghaus, K.R., Johnston, C.A., (2015). The imporatnce of creating habits and routine. American journal of lifestyle medicine, 13(2), 142–144. https://doi.org/10.1177/1559827618818044
Cedernaes, J., Schioth, HB., Benedict , C. (2015). Determinants of shortened, disrupted, and mistimed sleep and associated metabolic health consequences in healthy humans. Diabetes, 64(4), 1073–1080. https://doi.org/10.2337/db14-1475
Deborah, A. C., Sonja C. K., Stefanie S. (2013) Healthy habits: The connection between diet, exercise, and locus of control. Journal of Economic Behavior and Organization, 98, 1-28. https://doi.org/https://doi.org/10.1016/j.jebo.2013.10.011
de Vries, H., Eggers, S. M., Lechner, L. et al. (2014). Predicting fruit consumption: the role of habits, previous behavior and mediation effects. BMC Public Health, 730(14). https://doi.org/10.1186/1471-2458-14-730
Goldman S. (2022). How Does Sleep Affect Your Weight?. https://comprehensivesleepcare.com/2022/01/04/weight-loss-and-sleep/
Hautekiet, P., Saenen, N. D., Martens, D. S., Debay, M., Van der Heyden, J., Nawrot, T. S., De Clercq, E. M. (2022). A Healthy Lifestyle Is Positively Associated With Mental Health and Well-Being and Core Markers in Ageing. BMC Med, 20, 328. https://doi.org/10.1186/s12916-022-02524-9
Hayes, A. (2022). Six Sigma: Methodology and Belt Rankings. https://www.investopedia.com/terms/s/six-sigma.asptoc-what-is-six-sigma
Jennings, J. R., Muldoon, M. F., Hall, M., Buysse, D. J., Manuck, S. B. (2007). Self-Reported Sleep Quality Is Associated With The Metabolic Syndrome. Sleep, 30(2), 219– 223. https://doi.org/10.1093/sleep/30.2.219
Lauderdale, D. S., Knutson, K. L., Rathouz, P. J., Yan, L. L., Hulley, S. B., Liu, K. (2009). CrossSectional and Longitudinal Associations between Objectively Measured Sleep Duration and Body Mass Index: The CARDIA Sleep Study. Am J Epidemiol, 170(7), 805–813. https://doi.org/10.1093/aje/kwp230
Mental Health Foundation. (2021). Smoking And Mental Health. https://www.mentalhealth.org.uk/explore-mental-health/a-z-topics/smokingand-mental-health
Naeem, Z. (2014) Health risks associated with mobile phones use. Int J Health Sci (Qassim), 8(4), V–VI. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4350886/
Narang, I., Manlhiot, C., Davies-Shaw, J., Gibson, D., Chahal, N., Stearne, K., Fisher, A., Dobbin, S., McCrindle, B. W. (2012). Sleep Disturbance and Cardiovascular Risk in Adolescents. CMAJ, 184(17), 913–920. https://doi.org/10.1503/cmaj.111589
Nickolas, S. (2021) Correlation Coefficients: Positive, Negative, and Zero. https://www.investopedia.com/ask/answers/032515/what-does-it-mean-if-correlation-coefficient-positive-negative-or-zero.asp
Stevens, E. (2023). The 7 Most Useful Data Analysis Methods and Techniques. https://careerfoundry.com/en/blog/data-analytics/data-analysis-techniques/
The Healthcare Insight. (2020). Importance of data analysis in healthcare.https://thehealthcareinsights.com/importanceof-data-analysis-in-healthcare/
Thomas, D. (2019) What Is The Digital Age?. https://www.ventivtech.com/blog/whatis-the-digital-age
U.S. Department of Health and Human Services. (2021) Get Enough Sleep. https://health.gov/myhealthfinder/healthy-living/mental-health-andrelationships/get-enough-sleep
World Health Organization. (2022) Tobacco. https://www.who.int/news-room/factsheets/detail/tobacco
Ziglio, E., Currie, C., Rasmussen, V. B. (2004) The WHO cross-national study of health behavior in school-aged children from 35 countries: findings from 2001–2002. J School Health, 74, 204–206.
Zinda, Z. (2021) Data Science Stats Review: Pearson’s, Kendall’s, and Spearman’s Correlation for Feature Selection. https://www.phdata.io/blog/data-science-stats-review/#:~:text=Spearman's%20Rank%20Correlation,preferred%20method%20of%20the%20two