Surveillance of premalignant gastric cardia lesions: a population‐based prospective cohort study in China

2021 ◽  
Author(s):  
Jianhua Gu ◽  
Shuanghua Xie ◽  
Shaoming Wang ◽  
Liyan Xue ◽  
Jiachen Zhou ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based ◽  
Gastric Cardia

scholarly journals Marital status and 5-year mortality: A population-based prospective cohort study

Public Health ◽  
2019 ◽  
Vol 170 ◽  
pp. 45-48 ◽  
Author(s):  
M. Lindström ◽  
M. Rosvall
Keyword(s):  
Cohort Study ◽  
Marital Status ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based

scholarly journals Body composition and risk of gastric cancer: A population‐based prospective cohort study

2021 ◽  
Vol 10 (6) ◽  
pp. 2164-2174
Author(s):  
An‐Ran Liu ◽  
Qiang‐Sheng He ◽  
Wen‐Hui Wu ◽  
Jian‐Liang Du ◽  
Zi‐Chong Kuo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Body Composition ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based

Association of body composition with risk of overall and site‐specific cancers: a population‐based prospective cohort study

2021 ◽  
Author(s):  
Qiangsheng He ◽  
Bin Xia ◽  
Anran Liu ◽  
Min Li ◽  
Zhijun Zhou ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based ◽  
Site Specific

scholarly journals Mental Health Impact of the COVID-19 Pandemic in U.S. Military Veterans: A Population-Based, Prospective Cohort Study

2021 ◽  
pp. 1-37
Author(s):  
Melanie L. Hill ◽  
Brandon Nichter ◽  
Peter J. Na ◽  
Sonya B. Norman ◽  
Leslie A. Morland ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Military Veterans ◽  
Health Impact ◽  
Population Based

Higher Plasma Amyloid-β Levels Are Associated with a Higher Risk of Cancer: A Population-Based Prospective Cohort Study

2020 ◽  
Vol 29 (10) ◽  
pp. 1993-2001
Author(s):  
Kimberly D. van der Willik ◽  
Mohsen Ghanbari ◽  
Lana Fani ◽  
Annette Compter ◽  
Rikje Ruiter ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Amyloid Β ◽  
Population Based ◽  
Risk Of Cancer

scholarly journals Are people with metabolically healthy obesity really healthy? A prospective cohort study of 381,363 UK Biobank participants

Diabetologia ◽  
2021 ◽  
Author(s):  
Ziyi Zhou ◽  
John Macpherson ◽  
Stuart R. Gray ◽  
Jason M. R. Gill ◽  
Paul Welsh ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Respiratory Diseases ◽  
Population Based ◽  
Incident Diabetes ◽  
Uk Biobank ◽  
Metabolically Healthy Obesity ◽  
Wide Range ◽  
Metabolically Healthy

Abstract Aims/hypothesis People with obesity and a normal metabolic profile are sometimes referred to as having ‘metabolically healthy obesity’ (MHO). However, whether this group of individuals are actually ‘healthy’ is uncertain. This study aims to examine the associations of MHO with a wide range of obesity-related outcomes. Methods This is a population-based prospective cohort study of 381,363 UK Biobank participants with a median follow-up of 11.2 years. MHO was defined as having a BMI ≥ 30 kg/m2 and at least four of the six metabolically healthy criteria. Outcomes included incident diabetes and incident and fatal atherosclerotic CVD (ASCVD), heart failure (HF) and respiratory diseases. Results Compared with people who were not obese at baseline, those with MHO had higher incident HF (HR 1.60; 95% CI 1.45, 1.75) and respiratory disease (HR 1.20; 95% CI 1.16, 1.25) rates, but not higher ASCVD. The associations of MHO were generally weaker for fatal outcomes and only significant for all-cause (HR 1.12; 95% CI 1.04, 1.21) and HF mortality rates (HR 1.44; 95% CI 1.09, 1.89). However, when compared with people who were metabolically healthy without obesity, participants with MHO had higher rates of incident diabetes (HR 4.32; 95% CI 3.83, 4.89), ASCVD (HR 1.18; 95% CI 1.10, 1.27), HF (HR 1.76; 95% CI 1.61, 1.92), respiratory diseases (HR 1.28; 95% CI 1.24, 1.33) and all-cause mortality (HR 1.22; 95% CI 1.14, 1.31). The results with a 5 year landmark analysis were similar. Conclusions/interpretation Weight management should be recommended to all people with obesity, irrespective of their metabolic status, to lower risk of diabetes, ASCVD, HF and respiratory diseases. The term ‘MHO’ should be avoided as it is misleading and different strategies for risk stratification should be explored. Graphical abstract

Reproduction following treatment for childhood leukemia: A population-based prospective cohort study of fertility and offspring

1991 ◽  
Vol 19 (6) ◽  
pp. 459-466 ◽  
Author(s):  
Randi Nygaard ◽  
Niels Clausen ◽  
Martti A. Siimes ◽  
Ildikó Márky ◽  
Finn Egil Skjeldestad ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Childhood Leukemia ◽  
Population Based

Predictors of short-term mortality, cognitive and physical decline in older adults in northwest Russia: a population-based prospective cohort study

2016 ◽  
Vol 29 (4) ◽  
pp. 665-673 ◽  
Author(s):  
Anna Turusheva ◽  
Elena Frolova ◽  
Eralda Hegendoerfer ◽  
Jean-Marie Degryse
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based ◽  
Short Term ◽  
Physical Decline ◽  
Short Term Mortality

scholarly journals Village-to-village screening for hepatitis B and C using quantitative HBsAg and anti-HCV testing with reflex HCV core antigen tests in the remote communities of a resource-rich setting: a population-based prospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e046115
Author(s):  
Te-Sheng Chang ◽  
Kao-Chi Chang ◽  
Wei-Ming Chen ◽  
Nien-Tzu Hsu ◽  
Chih-Yi Lee ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hepatitis B ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Population Based ◽  
Core Antigen ◽  
Remote Communities ◽  
Community Based ◽  
Patient Allocation ◽  
Hcv Testing

ObjectivesCommunity-based screening for hepatitis B virus (HBV) and hepatitis C virus (HCV) is essential for hepatitis elimination. This study attempted to increase screening accessibility and efficacy by using alternative tools.DesignPopulation-based prospective cohort study.SettingHepatitis elimination program at Yunlin County, Taiwan.ParticipantsAll 4552 individuals participated in 60 screening sessions of a community-based HBV and HCV screening project in five rural townships with approximately 95 000 inhabitants in central-western Taiwan.InterventionsTo increase accessibility, 60 outreach screening sessions were conducted in 41 disseminative sites. Quantitative HBV surface antigen (qHBsAg) and anti-HCV testing with reflex HCV core antigen (HCV Ag) tests were employed as alternative screening tools.Main outcome measuresCalculate village-specific prevalence of HBsAg, anti-HCV and HCV Ag and establish patient allocation strategies according to levels of qHBsAg HCV Ag and alanine aminotransferase (ALT).ResultsOf 4552 participants, 553, 697 and 290 were positive for HBsAg, anti-HCV and HCV Ag, respectively; 75 of them had both HBsAg and anti-HCV positivity. The average (range) number of participants in each screening session was 98 (31–150). The prevalence rates (range) of HBsAg, anti-HCV and HCV Ag were 12.1% (4.3%–19.4%), 15.3% (2.6%–52.3%) and 6.4% (0%–30.2%), respectively. The HCV Ag positivity rate among anti-HCV-positive participants was 42% (0%–100%). Using cut-off values of >200 IU/mL for qHBsAg, >3 fmol/L for HCV Ag and >40 IU/mL for ALT as criteria for patient referral, we noted an 80.2% reduction in referral burden. Three villages had high anti-HCV prevalences of 52.3%, 53.8% and 63.4% with corresponding viraemic prevalences of 23.2%, 30.1% and 22% and thus constituted newly identified HCV-hyperendemic villages.ConclusionOutreach hepatitis screening increases accessibility for residents in rural communities. Screening HBV and HCV through qHBsAg and HCV Ag tests provides information concerning viral activities, which might be conducive to precise patient allocation in remote communities.

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