Correlation and Causation in the News between Obesity, Sleep, Religion and Motherhood

Our current society deals with obesity more than the previous generation. Recent studies have shown the correlation between obesity and other diseases such as cancer diabetes and hypertension as several. In other studies, sleep deprivation may be related to weight gain, while religious society can lead to weight gain, while women show childbirth. In this article, we will explain how three journal papers provide evidence of correlation and causation of sleep, religion, maternity, obesity.

Researchers agree that obesity affects the incidence of sleep apnea. However, it is even more surprising to discover that sleep apnea can be a predictor of obesity. Initially, physicians, who were thought to be a simple correlation between sleep deprivation and reduced motivation for exercise, found an amazing discovery in healthy male and female sleep study with average BMI It was. Approximately 50% of people sleep within 6.5 hours, but they have no apnea or sleep disorder except for a reduction in hours. The study showed that these patients experienced hormonal changes that put them at a greater risk of weight gain associated with thyroid disease, diabetes and other physical disorders.

1) Sleep disorders History of respiration alone is not enough to predict the presence of OSA in obese children; PSG still needs to be pointed out 2) correlation between the body weight of this population and the presence or severity of SDB It seems not to be. Judgment of the necessity of PSG 3) Although the prevalence of SDB was not mentioned in this study, there was no medical history of sleeping respiratory history in the group of obese children. This article highlights the need for PSG in obese children. The incidence of OSA in obese children is 8% (1-2% compared to the general population), but unfortunately the history and extent of obesity is not necessarily related to the severity of OSA.

Studies have shown that vitamin B potentiation is associated with high levels of obesity. However, relevance is not a causal relationship. Similarly, the consumption of iron has increased dramatically since the Second World War in the U. - Overdose of iron can lead to obesity, cardiovascular disease, diabetes, cancer, etc.

I talked about the correlation - the relationship between the variables. However, forecasting is a completely different matter. This is the emergence of correlation and causality problems: the market value of news will rise, and market capitalization will bring more news coverage (or both)? Followers on Twitter and change in market value p value: 0.821432 Most of these values ​​far exceed our tolerance on statistical significance, almost completely random values. Interestingly, the correlation is negative for functions that may be related to telegraphic members. This means that more telecom members are related to price declines. But I do not read much content. The only conclusion that I have reached is that the data we have does not predict our expectation.