A systematic Review and Meta-Analysis of the Impact of Obesity and Overweight on Cervical Cancer Screening Participation
Received Date: Apr 01, 2023 / Published Date: Apr 29, 2023
Abstract
The frequency of rotundity is adding worldwide. The prevalence of cervical cancer has dropped after perpetration of cervical cancer webbing, still, fat women have advanced threat of cervical cancer than women of normal weight. This might be caused by a lower participation rate in cervical cancer webbing. The end of this methodical review and metaanalysis was to examine the influence of fat and rotundity on adherence to cervical cancer webbing recommendations. We conducted a thorough methodical literature hunt of electronic databases to identify studies examining webbing participation among fat and fat women compared to women of normal weight. Grounded on a arbitrary effect model, we calculated pooled odds rates (OR) of webbing participation with corresponding 95 confidence intervals CI). I2 statistic was used to describe diversity. A aggregate of 32 papers were included. The pooled OR of screening participation was0.94 for fat women and0.79 (95CI0.68 –0.92) for fat women compared to women of normal weight. The diversity was substantial (at I2 = 89; fat I2 = 93). The OR for screening adherence was0.91 (95CI0.80 –1.05),0.85 (95CI0.70 –1.03) and0.67( 95CI0.54 –0.84) for women in rotundity class I, II and III, independently. The OR varied by geographical region and race. In conclusion, fat women are less likely to share in cervical cancers screening compared to women of normal weight. In addition, the liability of adherence to webbing recommendations decreases with adding rotundity class. This stresses the need for targeted intervention to increase webbing adherence for fat and fat women.
Citation: Khamalu PG (2023) A systematic Review and Meta-Analysis of the Impact of Obesity and Overweight on Cervical Cancer Screening Participation. Cervical Cancer, 8: 156.
Copyright: © 2023 Khamalu PG. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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