Journal of Epidemiology and Global Health最新文献

{"title":"Achievement of Guideline-Recommended Targets for Secondary Prevention of Cardiovascular Disease in 38 Low-Income and Middle-Income Countries.","authors":"Zhiguang Liu, Minghai Yan, Lap Ah Tse, Yingxuan Zhu, Xinyue Lang, Xin Liu, Yang Lin, Bo Hu","doi":"10.1007/s44197-024-00251-3","DOIUrl":"10.1007/s44197-024-00251-3","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to estimate the prevalence of achieving the secondary prevention targets recommended in the World Health Organization (WHO) guidelines for cardiovascular disease (CVD) in 38 low-income and middle-income countries (LMICs).</p><p><strong>Methods: </strong>We pooled nationally representative cross-sectional surveys from 38 LMICs between 2013 and 2020. Treatment, metabolic and lifestyle targets were assessed for individuals with a self-reported history of CVD according to WHO's recommendations. Associations between the prevalence of guideline adherence and sociodemographic characteristics were assessed using multivariate Poisson regression models.</p><p><strong>Results: </strong>The pooled sample included 126 106 participants, of whom 9821 (6.8% [95% CI 6.4-7.2]) reported a history of CVD. Overall, the prevalence of achieving treatment targets in patients with CVD was 22.7% (95% CI, 21.0-24.5%) for antihypertensive drugs, 19.6% (17.9-21.4%) for aspirin, and 13.6% (12.0-15.44%) for statins. The prevalence of achieving metabolic targets was 54.9% (52.5-57.3%) for BMI, 39.9% (37.7-42.2%) for blood pressure, 46.1% (43.6-48.6%) for total cholesterol, and 84.9% (83.1-86.5%) for fasting blood glucose. The prevalence of achieving lifestyle targets was 83.2% (81.5-84.7%) for not smoking, 83.1% (81.2-84.9%) for not drinking, 65.5% (63.1-67.7%) for sufficient physical activity and 16.2% (14.5-18.0%) for healthy diet. Only 6.1% (5.1-7.4%) achieved three treatment targets, 16.0% (14.3-17.9%) achieved four metabolic targets, and 6.9% (5.8-8.0%) achieved four lifestyle targets. Upper-middle income countries were better than low-income countries at achieving the treatment, non-drinking and dietary targets. Being younger and female were associated with poorer achievement of metabolic targets.</p><p><strong>Conclusion: </strong>In LMICs, achieving the targets recommended in the guideline for treatment, metabolism and healthy lifestyles for patients with CVD is notably low. This highlights an urgent need for effective, systematic secondary prevention strategies to improve CVD management.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11444037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antimicrobial Resistance Profiles of Pseudomonas aeruginosa in the Arabian Gulf Region Over a 12-Year Period (2010-2021).","authors":"A Alatoom, M Alattas, B Alraddadi, C Ayoub Moubareck, A Hassanien, W Jamal, A Kurdi, N Mohamed, A Senok, A M Somily, H Ziglam","doi":"10.1007/s44197-024-00191-y","DOIUrl":"10.1007/s44197-024-00191-y","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate literature from a 12-year period (2010-2021) on the antimicrobial resistance profile of Pseudomonas aeruginosa from the Arabian Gulf countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates).</p><p><strong>Methods: </strong>An electronic literature search was conducted for articles on antimicrobial resistance in P. aeruginosa and associated phenotypes, covering the period of 1st January 2010 to 1st December 2021.</p><p><strong>Results: </strong>Antimicrobial resistance in the Arabian Gulf was highest to meropenem (10.3-45.7%) and lowest to colistin (0.0-0.8%), among the agents tested. Annual data showed that ceftazidime resistance (Kuwait), piperacillin-tazobactam non-susceptibility (Qatar), and aztreonam, imipenem, and meropenem resistance (Saudi Arabia) increased by 12-17%. Multiple mechanisms of carbapenem resistance were identified and multiple clones were detected, including high-risk clones such as ST235. The most common carbapenemases detected were the VIM-type metallo-β-lactamases.</p><p><strong>Conclusions: </strong>Among P. aeruginosa in the Arabian Gulf countries, resistance to meropenem was higher than to the other agents tested, and meropenem resistance increased in Saudi Arabia during the study period. Resistance to colistin, a classic antibiotic used to treat Pseudomonas spp. infections, remained low. The VIM-type β-lactamase genes were dominant. We recommend local and regional antimicrobial resistance surveillance programs to detect the emergence of resistance genes and to monitor antimicrobial resistance trends in P. aeruginosa.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141296129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cause-Specific Excess Mortality During the COVID-19 Pandemic (2020-2021) in 12 Countries of the C-MOR Consortium.","authors":"Victoria Virginia Beeks, Souzana Achilleos, Annalisa Quattrocchi, Chryso Th Pallari, Elena Critselis, Pascale Salameh, Mohammad Reza Rahmanian Haghighi, Jose Manuel Rodriguez-Llanes, Giuseppe Ambrosio, Andreas Artemiou, John Gabel, Catherine Marie Bennett, Joseph Cuthbertson, Claudia Zimmermann, Eva Susanna Schernhammer, Antonio José Leal Costa, Luciana Freire de Carvalho, Jackeline Christiane Pinto Lobato, Maria Athanasiadou, Julia Alison Critchley, Lucy Pollyanna Goldsmith, Levan Kandelaki, Natalya Glushkova, Kairat Davletov, Yuliya Semenova, Ivan Erzen, Olesia Verstiuk, Dimos Alekkou, Antonis Polemitis, Andreas Charalambous, Christiana A Demetriou","doi":"10.1007/s44197-024-00242-4","DOIUrl":"10.1007/s44197-024-00242-4","url":null,"abstract":"<p><strong>Background: </strong>This study investigated cause-specific mortality rates in 12 countries during the COVID-19 pandemic in 2020 and 2021.</p><p><strong>Methods: </strong>We collected weekly cause-specific mortality data from respiratory disease, pneumonia, cardiovascular disease (CVD) and cancer from national vital statistic databases. We calculated excess mortality for respiratory disease (excluding COVID-19 codes), pneumonia, and CVD in 2020 and 2021 by comparing observed weekly against expected mortality based on historical data (2015-2019), accounting for seasonal trends. We used multilevel regression models to investigate the association between country-level pandemic-related variables and cause-specific mortality.</p><p><strong>Results: </strong>Significant reductions in cumulative mortality from respiratory disease and pneumonia were observed in 2020 and/or 2021, except for Georgia, Northern Ireland, Kazakhstan, and Ukraine, which exhibited excess mortality for one or both causes. Australia, Austria, Cyprus, Georgia, and Northern Ireland experienced excess cumulative CVD mortality in 2020 and/or 2021. Australia, Austria, Brazil, Cyprus, Georgia, Northern Ireland, Scotland and Slovenia, experienced increased crude cumulative cancer mortality during 2020 and/or 2021 compared to previous years. Among pandemic-related variables, reported COVID-19 incidence was negatively associated with increased cancer mortality, excess respiratory, (2020) and pneumonia (2021) mortality, and positively associated with respiratory and CVD mortality (2021). Stringency of control measures were negatively associated with excess respiratory disease, CVD, and increased cancer mortality (2021).</p><p><strong>Conclusions: </strong>This study provides evidence of substantial excess mortality from CVD, and notable reductions in respiratory disease and pneumonia in both years across most countries investigated. Our study also highlights the beneficial impact of stringent control measures in mitigating excess mortality from most causes in 2021.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141075038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Causal Association Between Blood Lead and Sleep Disorders: Evidence from National Health and Nutrition Examination Survey and Mendelian Randomization Analysis.","authors":"Shengnan Chen, Ming Zhang, Weisong Zhang, Xiaolong Shao, Xiaobin Yang, Zhi Yang, Kai Nan","doi":"10.1007/s44197-024-00199-4","DOIUrl":"10.1007/s44197-024-00199-4","url":null,"abstract":"<p><strong>Background: </strong>Poor sleep quality is a global public health concern. This study aimed to identify the risk factors for sleep disorders and clarify their causal effects.</p><p><strong>Methods: </strong>Data were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR)-Base databases. Baseline characteristics of individuals with and without sleep disorders were compared. A multivariate logistic regression analysis was performed to calculate the effects of each variable on sleep disorders. Causal effects of blood lead levels and hypertension on sleep disorders were assessed using MR analysis.</p><p><strong>Results: </strong>In total, 3660 individuals were enrolled in the study. The prevalence of self-reported sleep disorders was 26.21%. Serum lead level, serum mercury level, serum retinol level, prevalence of hypertension, and daily vigorous work duration were significantly higher for those in the sleep disorders group than the control group. After adjusting for various covariates, the effects of serum lead and hypertension on sleep disorders were stable from logistic regression models 1-4. MR analysis showed that blood lead levels were causally related to the risk of sleep disorders (odds ratio (OR) = 1.09, 95% confidence interval (CI) 1.01-1.17, P = 0.030). There was no causal link between elevated blood pressure and sleep disorders (OR = 0.99, 95% CI 0.94-1.04, P = 0.757). Goodness-of-fit tests and sensitivity analyses were used to verify the reliability of the results.</p><p><strong>Conclusions: </strong>Blood lead is positively and causally associated with an increased risk of sleep disorders. These findings provide a novel perspective regarding sleep protection. Taking effective measures to reduce lead exposure may significantly improve sleep health.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139900008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Variation in Excess Mortality Across Europe: A Cross-Sectional Study of 561 Regions in 21 Countries.","authors":"Florian Bonnet, Pavel Grigoriev, Markus Sauerberg, Ina Alliger, Michael Mühlichen, Carlo-Giovanni Camarda","doi":"10.1007/s44197-024-00200-0","DOIUrl":"10.1007/s44197-024-00200-0","url":null,"abstract":"<p><strong>Objective: </strong>To measure the burden of the COVID-19 pandemic in 2020 at the subnational level by estimating excess mortality, defined as the increase in all-cause mortality relative to an expected baseline mortality level.</p><p><strong>Methods: </strong>Statistical and demographic analyses of regional all-cause mortality data provided by the vital statistics systems of 21 European countries for 561 regions in Central and Western Europe. Life expectancy losses at ages 0 and 60 for males and females were estimated.</p><p><strong>Results: </strong>We found evidence of a loss in life expectancy in 391 regions, whilst only three regions exhibit notable gains in life expectancy in 2020. For 12 regions, losses of life expectancy amounted to more than 2 years and three regions showed losses greater than 3 years. We highlight geographical clusters of high mortality in Northern Italy, Spain and Poland, whilst clusters of low mortality were found in Western France, Germany/Denmark and Norway/Sweden.</p><p><strong>Conclusions: </strong>Regional differences of loss of life expectancy are impressive, ranging from a loss of more than 4 years to a gain of 8 months. These findings provide a strong rationale for regional analysis, as national estimates hide significant regional disparities.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139905761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing Antimicrobial Resistance Together: Reflections on AMR Week 2023.","authors":"Jaffar A Al-Tawfiq, Shahul H Ebrahim, Ziad A Memish","doi":"10.1007/s44197-023-00178-1","DOIUrl":"10.1007/s44197-023-00178-1","url":null,"abstract":"","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139377782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Population-Based Prognostic Models for Head and Neck Cancers Using National Cancer Registry Data from Taiwan.","authors":"Yu-Lun Tsai, Yi-Ting Kang, Han-Ching Chan, Amrita Chattopadhyay, Chun-Ju Chiang, Wen-Chung Lee, Skye Hung-Chun Cheng, Tzu-Pin Lu","doi":"10.1007/s44197-024-00196-7","DOIUrl":"10.1007/s44197-024-00196-7","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to raise awareness of the disparities in survival predictions among races in head and neck cancer (HNC) patients by developing and validating population-based prognostic models specifically tailored for Taiwanese and Asian populations.</p><p><strong>Methods: </strong>A total of 49,137 patients diagnosed with HNCs were included from the Taiwan Cancer Registry (TCR). Six prognostic models, divided into three categories based on surgical status, were developed to predict both overall survival (OS) and cancer-specific survival using the registered demographic and clinicopathological characteristics in the Cox proportional hazards model. The prognostic models underwent internal evaluation through a tenfold cross-validation among the TCR Taiwanese datasets and external validation across three primary racial populations using the Surveillance, Epidemiology, and End Results database. Predictive performance was assessed using discrimination analysis employing Harrell's c-index and calibration analysis with proportion tests.</p><p><strong>Results: </strong>The TCR training and testing datasets demonstrated stable and favorable predictive performance, with all Harrell's c-index values ≥ 0.7 and almost all differences in proportion between the predicted and observed mortality being < 5%. In external validation, Asians exhibited the best performance compared with white and black populations, particularly in predicting OS, with all Harrell's c-index values > 0.7.</p><p><strong>Conclusions: </strong>Survival predictive disparities exist among different racial groups in HNCs. We have developed population-based prognostic models for Asians that can enhance clinical practice and treatment plans.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176144/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139729824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional Prevalence of Hemoglobin C Across Saudi Arabia: An Epidemiological Survey.","authors":"Mansour Aljabry, Suha Sulimani, Ghazi Alotaibi, Hassan Aljabri, Shaker Alomary, Izzeldin Adam, Omar Aljabri, Mansour Khater Alzahrani, Abdulrahman Alsultan","doi":"10.1007/s44197-024-00193-w","DOIUrl":"10.1007/s44197-024-00193-w","url":null,"abstract":"<p><strong>Introduction: </strong>HbC is a common structural hemoglobinopathy especially in West Africa. Prevalence and regional distribution of HbC in Saudi Arabia are widely undocumented. Patients with homozygous HbC disease may have mild hemolytic anemia whereas combination with hemoglobin S (HbS) leads to a clinically severe phenotype.</p><p><strong>Aim: </strong>The current epidemiological study, considered the largest from Saudi Arabia, aimed to evaluate the regional prevalence of the HbC variant among the couples participating in the premarital screening program from 2011 to 2018.</p><p><strong>Methods: </strong>Data from the PMSGC program were obtained for premarital screening and genetic counseling. The collected data were then entered into the SEHA platform, a centralized electronic repository for the 13 designated regions in Saudi Arabia. Hemoglobin electrophoresis samples are analyzed using either HPLC, capillary electrophoresis, or a combination of both methods to confirm the presence of abnormal hemoglobin bands.</p><p><strong>Results: </strong>This study included 1,871,184 individuals from 2011 to 2018. Of those, 49.8% were males and 50.2% were females. 112,618 (6.0%) had an abnormal test. Total number of Hb C cases were 778 (0.04%). HbC trait (HbAC) was detected in 764 participants while homozygous HbC (HbCC) and combined heterozygous (HbSC) were found in 9 and 5 cases, respectively. The regions near the Red Sea have higher rates than the central and eastern regions.</p><p><strong>Conclusion: </strong>HbC is a rare variant in Saudi Arabia with varying regional frequencies. HbC variant is more common in Mecca and Madina regions. The geographic area of HbC distribution differs from the areas with high prevalence of HbS, which explains why HbSC disease cases are overwhelmingly rare.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139900007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attack Rate, Case Fatality Rate and Predictors of Pertussis Outbreak During Pertussis Outbreak Investigation in Ethiopia: Systematic Review and Meta-Analysis.","authors":"Mengistie Kassahun Tariku, Abebe Habtamu Belete, Daniel Tarekegn Worede, Simachew Animen Bante, Agumas Alemu Alehegn, Biniam Kebede Assen, Bantayehu Addis Tegegne, Sewnet Wongiel Misikir","doi":"10.1007/s44197-024-00234-4","DOIUrl":"10.1007/s44197-024-00234-4","url":null,"abstract":"<p><strong>Background: </strong>Pertussis, a highly contagious, vaccine-preventable respiratory infection caused by Bordetella pertussis, is a leading global public health issue. Ethiopia is currently conducting multiple pertussis outbreak investigations, but there is a lack of comprehensive information on attack rate, case fatality rate, and infection predictors. This study aimed to measure attack rates, case fatality rates, and factors associated with pertussis outbreak.</p><p><strong>Methods: </strong>This study conducted a systematic review and meta-analysis of published and unpublished studies on pertussis outbreaks in Ethiopia from 2009 to 2023, using observational study designs, using the guideline Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The study utilized databases like Science Direct, MEDLINE/PubMed, African Journals Online, Google Scholar and registers. The data were collected using an Excel Spreadsheet and then exported to STATA version 17 for analysis. Subgroup analysis was conducted to identify potential disparities. A random effects model was used to consider heterogeneity among studies. I²-squared test statistics were used to assess heterogeneity. The attack rate, case fatality rate, and odds ratio (OR) were presented using forest plots with a 95% confidence interval. Egger's and Begg's tests were used to evaluate the publication bias.</p><p><strong>Results: </strong>Seven pertussis outbreak investigations with a total of 2824 cases and 18 deaths were incorporated. The pooled attack and case fatality rates were 10.78 (95% CI: 8.1-13.5) per 1000 population and 0.8% (95% CI: 0.01-1.58%), respectively. The highest and lowest attack rates were in Oromia (5.57 per 1000 population and in the Amhara region (2.61 per 1000 population), respectively. Predictor of pertussis outbreak were being unvaccinated [odds ratio (OR) = 3.05, 95% CI: 1.83-4.27] and contact history [OR = 3.44, 95% CI: 1.69-5.19].</p><p><strong>Conclusion: </strong>Higher and notable variations in attack and case fatality rates were reported. Being unvaccinated and having contact history were the predictors of contracting pertussis disease in Ethiopia. Enhancing routine vaccination and contact tracing efforts should be strengthened.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176133/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140921964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of COVID-19 on Male Sex Hormones: A Meta-Analysis of Prospective Cohort Study.","authors":"Xiucheng Lan, Diang Chen, Meijing Wang, Xujun Yu, Liang Dong, Junjun Li, Degui Chang, Fang Yang","doi":"10.1007/s44197-024-00203-x","DOIUrl":"10.1007/s44197-024-00203-x","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the possible effects of novel coronavirus disease 2019 (2019-NCOV) on male sex hormones and reproductive ability, and analyze its incidence and risk factors.</p><p><strong>Methods: </strong>We retrieved from PubMed, Embase, The Cochrane Library, Web of Science, Clinical Trails, CNKI, CBM, Wan Fang Database and VIP to collect research on the effects of COVID-19 on the male sex hormone. Our literature search was conducted until April 2022, and two investigators independently screened articles based on inclusion and exclusion criteria. In strict accordance with the inclusion and exclusion criteria, two researchers independently screened the literature and comprehensively analyzed 8 cohort studies on the impact of COVID-19 on male sex hormone. And We used RevMan5.4.1 and Stata15.0 for statistical analysis. Finally, there were eight cohort studies on the effects of COVID-19 on male sex hormones.</p><p><strong>Results: </strong>T(RR = - 3.94; 95% CI - 6.22, - 1.66; P = 0.0007), testosterone in the COVID-19 group decreased by 3.94 nmol/L compared with the control group, and the difference was statistically significant. LH (RR = 0.85; 95% CI - 0.26, 1.96; P = 0.13), the LH in COVID-19 group was 0.85 mlU/ml higher than that in control group, but the difference was not statistically significant. FSH (RR = 0.25; 95% CI - 0.72, 1.23; P = 0.61), the FSH of COVID-19 group was 0.25 mlU/ml higher than that of the control group, but the difference was not statistically significant. PRL (RR = 2.42; 95% CI 0.52, 4.31; P = 0.01), the PRL in the COVID-19 group was 2.42 ng/ml higher than that in the control group, and the difference was statistically significant. E2(RR = 11.88; 95% CI 9.90, 13.86; P < 0.00001), The level of E2 in the COVID-19 group was 11.88 pg/ml higher than that in the control group, and the difference was statistically significant. T:LH (RR = - 0.39; 95% CI - 076, - 0.02; P = 0.04), the ratio of T:LH in COVID-19 group was lower than that in control group, and the difference was statistically significant. FSH:LH (RR = - 0.38; 95% CI - 0.86, 0.11; P = 0.13), the ratio of FSH:LH decreased in COVID-19 group compared with control group, but the difference was not statistically significant.</p><p><strong>Conclusions: </strong>COVID-19 can affect the level of sex hormones, especially T, which may further affect male fertility. Due to the limitations of this study, this conclusion needs to be further verified by large-sample, high-quality prospective cohort studies on the long-term effects of COVID-19 on male sex hormones and fertility.</p>","PeriodicalId":15796,"journal":{"name":"Journal of Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11176140/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139972066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}