The Relationship Between Body Mass Index and Sexual Dysfunction Among Women: A Meta-Analysis

2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Hossien Ranjbar ◽  
Elham Azmoude
PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0192212 ◽  
Author(s):  
Jielin Zhou ◽  
Liangjian Zhang ◽  
Peng Xuan ◽  
Yong Fan ◽  
Linsheng Yang ◽  
...  

2011 ◽  
Vol 78 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Liying Jiang ◽  
Jiesheng Rong ◽  
Yingchen Wang ◽  
Fulan Hu ◽  
Chundan Bao ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A28-A29
Author(s):  
Khulood Bukhari ◽  
Huei-Kai Huang ◽  
Duan-Pei Hung ◽  
Carol Chiung-Hui Peng ◽  
Ming-Chieh Shih ◽  
...  

Abstract Introduction: Several studies have linked obesity to more severe illness and higher mortality in COVID-19 patients. However, the relationship between being underweight and COVID-19 mortality remains inconclusive. Previous dose-response meta-analyses did not enroll or specifically analyze the underweight population. Herein, we conducted a systematic review and dose-response meta-analysis to investigate the relationship between body mass index (BMI) and mortality in both obese and underweight patients with COVID-19. Methods: We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science databases from inception until August 12, 2020 using the keywords “COVID-19,” “body mass index,” “obesity,” “overweight”, and “underweight.” Three reviewers independently assessed the relevant articles, including the title, abstract, and full text, to identify eligible studies. We performed a two-stage random-effects dose-response meta-analysis, including only studies with at least three quantitative classifications for BMI. The nonlinear trend was evaluated using a restricted cubic splines model with three-knots at the 10th, 50th, and 90th percentiles. A sensitivity analysis was conducted by pooling only those studies which specifically evaluated underweight patients (BMI<18.5 kg/m2). Results: Thirteen studies comprising 25,828 patients were included in the analysis. In the linear model, the mortality of patients with COVID-19 increased by 1.5% for each 1-kg/m2 increase in BMI (pooled relative risk [RR] =1.015, 95% confidence interval [CI] =1.004−1.027). However, a significant non-linear relationship between BMI and mortality was observed (Wald test: Pnon-linearity<0.001). We demonstrated a J-shaped curve, indicating that both underweight and obese patients had a higher mortality than those with normal weight. Interestingly, overweight patients (BMI, 25−30 kg/m2) seemed to have the lowest mortality risk. Using a BMI of 15 kg/m2 as the reference, the RRs of mortality decreased with BMI, and this trend continued until BMI of approximately 28 kg/m2 (RR=0.743, 95% CI=0.576−0.959). The relationship between BMI and mortality was then reversed, and an upward trend was observed when BMI exceeded 30 kg/m2; the RRs (95% CI) at BMIs 30, 35, 40, and 45 kg/m2 were 0.745 (0.570−0.974), 0.841 (0.643−1.100), 1.082 (0.850−1.377), and 1.457 (1.129−1.879), respectively. Conclusion: This study is the first dose-response meta-analysis that showed both underweight and obese COVID-19 patients are at higher risk of increased mortality. A J-curve relationship was demonstrated between BMI and COVID-19 mortality.


Author(s):  
Morteza Motedayen ◽  
Mohammad Rafiei ◽  
Mostafa Rezaei Tavirani ◽  
Kourosh Sayehmiri ◽  
Majid Dousti

Background: One of the causes of maternal and fetal mortality and morbidity is pregnancy-induced hypertension, the most common form of which is preeclampsia that causes many complications for mother and fetus. Objective: The aim of this systematic review and meta-analysis was to determine the relationship between body mass index (BMI) and preeclampsia in Iran. Materials and Methods: Using valid keywords in the SID database, PubMed, Scopus, data obtained from all the articles, which were reviewed in Iran between 2000 and 2016, were combined using the meta-analysis method (random-effects model) and analyzed using STATA version 11.1. Results: A total number of 5,946 samples were enrolled in 16 studies with the mean BMI values of 25.13, 27.42, and 26.33 kg /m2 in the healthy, mild, and severe preeclamptic groups, respectively. Conclusion: The results of this study revealed that there is a significant relationship between BMI and the risk of preeclampsia, so it can be said that BMI may be one of the ways to diagnose preeclampsia.


2020 ◽  
Author(s):  
Chao Fang ◽  
Zheng Zhou ◽  
Mingming Zhou ◽  
Jianping Li

Abstract Background As an important indicator to measure obesity or underweight, body mass index (BMI) can be used to assess the potential risk for various diseases. The present study systematically examined the relationship between BMI and severity and mortality of patients with coronavirus disease 2019 (COVID-19). Methods We systematically searched PubMed, Embase, Cochrane, and China National Knowledge Infrastructure (CNKI) for studies published as of September 3, 2020 and extracted the relevant data of research endpoints in each study. Results This study included 16 studies with 6087 patients. This study observed a significant increase in BMI on admission in patients with severe COVID-19 compared with those with non-severe COVID-19 (Mean difference [MD] = 1.95, 95% confidence interval [CI], 1.52 − 2.37, I2 = 33%, P < 0.00001). A significant increase in BMI on admission was observed in patients who died from COVID-19 compared with (MD = 3.01, 95% CI: 1.83 to 4.19, I2 = 0%, P < 0.00001). In the intensive care unit (ICU) or geriatric ward, the study observed a significant decrease in BMI in the non-survivor group compared with the survivor group (MD = -1.61, 95% CI: -3.07 to -0.16, I2 = 72%, P = 0.03). Conclusions Higher BMI on admission is associated with severity and mortality of patients with COVID-19, but lower BMI is associated with mortality of patients with COVID-19 in the ICU or geriatric ward. Thus, we strongly recommend that clinicians should closely monitor the BMI of patients with COVID-19, especially those from the ICU or geriatric ward.


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