Introduction
Janssen et al. (2018) studied the effects of fast food consumption on obesity and exacerbating chronic disease in humans. The type of study in the article is a literature analysis conducted in databases such as PubMed, Web of Science, Science Direct, Google, and Google Scholar. The authors, however, established a time frame from 1980 to 2017, which is why they examined articles written in this period (Janssen et al., 2018). To collect data, the authors used keywords such as fast food, food, obesity, heart disease, hereditary disease, and chronic disease. They also adopted the snowball method whereby they first reviewed and selected a certain number of articles and then conducted additional searches based on those articles. Janssen et al. (2018) imposed search limitations; they only searched for articles in English. The authors used analysis to identify factors related to fast food consumption and health outcomes from the Foresight Obesity Map.
Discussion
The authors investigated the association between fast food consumption and the risk of chronic non-communicable diseases and mortality. The type of study in the article was a systematic review and meta-analysis of the data. Lane et al. (2021) included 43 observational studies, 21 research studies, and 19 prospective studies. However, they used a time interval from 2009 to March 2020 to sample the articles. Data were collected from databases such as MEDLINE Complete, EMBASE, Scopus, Cochrane, and CINAHL. The authors utilized a combination of words to search for the effects of food on human cardiovascular disease, obesity, and other chronic diseases. Afterward, Lane et al. (2021) combined homogeneous conditions and conducted a meta-analysis to determine the effect of fast food consumption on their development.
Conclusion
Zhao et al. (2017) studied the prevalence of obesity and hypertension caused by fast food consumption. The authors used data from 1,626 students aged 7-16 and their parents in Beijing, Shanghai, Nanjing, and Xi’an. This information was obtained during a survey conducted in 2015. Zhao et al. (2017) measured weight, height, waist circumference, and blood pressure in collecting the data. At the same time, they created a questionnaire to assess food intake. The authors conducted a statistical analysis of the data to establish statistics on the effects of fast food on people’s health.
References
Janssen, H. G., Davies, I. G., Richardson, L. D., & Stevenson, L. (2018). Determinants of takeaway and fast food consumption: A narrative review.Nutrition Research Reviews, 31(1), 16-34. Web.
Lane, M. M., Davis, J. A., Beattie, S., Gómez‐Donoso, C., Loughman, A., O’Neil, A. (2021). Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta‐analysis of 43 observational studies.Obesity Reviews, 22(3), e13146. Web.
Zhao, Y., Wang, L., Xue, H., Wang, H., & Wang, Y. (2017). Fast food consumption and its associations with obesity and hypertension among children: Results from the baseline data of the Childhood Obesity Study in China Mega-cities.BMC Public Health, 17(1), 1-10. Web.