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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
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Correlation and Regression00:53

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
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[Correlation of psoriasis with erectile dysfunction: A meta-analysis].

Fan-Bo Zhang1, Bang-Cai Wu1, Li-Bo Xie1

  • 1Department of Urology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.

Zhonghua Nan Ke Xue = National Journal of Andrology
|April 30, 2018
PubMed
Summary

Psoriasis is linked to a higher risk of erectile dysfunction (ED). This meta-analysis found a significant correlation, suggesting men with psoriasis may experience ED more frequently.

Keywords:
psoriasiscorrelationerectile dysfunctionmeta-analysis

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Area of Science:

  • Dermatology
  • Urology
  • Public Health

Background:

  • Psoriasis is a chronic inflammatory skin condition.
  • Erectile dysfunction (ED) is a common condition affecting men's sexual health.

Purpose of the Study:

  • To systematically analyze the correlation between psoriasis and erectile dysfunction (ED).

Main Methods:

  • Comprehensive literature search of multiple databases up to June 2016.
  • Meta-analysis of 6 studies examining the relationship between psoriasis and ED, including IIEF-5 scores.

Main Results:

  • A significant correlation was found between psoriasis and ED (OR = 1.92).
  • Psoriasis patients had significantly lower IIEF-5 scores, indicating poorer erectile function (MD = -3.11).

Conclusions:

  • A notable correlation exists between psoriasis and ED.
  • Psoriasis patients may have an increased incidence of ED, requiring further high-quality research for confirmation.