scholarly journals Ancestral stress programs sex-specific biological aging trajectories and non-communicable disease risk

Aging ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 3828-3847 ◽  
Author(s):  
Mirela Ambeskovic ◽  
Yaroslav Ilnytskyy ◽  
Douglas Kiss ◽  
Cheryl Currie ◽  
Tony Montina ◽  
...  
Keyword(s):  
Disease Risk ◽  
Communicable Disease ◽  
Biological Aging ◽  
Ancestral Stress ◽  
Non Communicable Disease

Identifying individuals with multiple non-communicable disease risk factors in Kenya: a latent class analysis

Public Health ◽  
2021 ◽  
Vol 198 ◽  
pp. 180-186
Author(s):  
R.S. Mkuu ◽  
T.D. Gilreath ◽  
A.E. Barry ◽  
F.M. Nafukho ◽  
J. Rahman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Disease Risk ◽  
Communicable Disease ◽  
Class Analysis ◽  
Non Communicable Disease

scholarly journals Multiple Imputation to Correct for Nonresponse Bias: Application in Non-communicable Disease Risk Factors Survey

2015 ◽  
Vol 8 (1) ◽  
pp. 133 ◽  
Author(s):  
Hamid Heidarian Miri ◽  
Jafar Hassanzadeh ◽  
Abdolreza Rajaeefard ◽  
Majid Mirmohammadkhani ◽  
Kambiz Ahmadi Angali
Keyword(s):  
Risk Factors ◽  
Multiple Imputation ◽  
Blood Sugar ◽  
Disease Risk ◽  
Communicable Disease ◽  
Fasting Blood Glucose ◽  
Nonresponse Bias ◽  
Natural Logarithm ◽  
Predictive Mean Matching ◽  
Non Communicable Disease

<p><strong>BACKGROUND: </strong>This study was carried out to use multiple imputation (MI) in order to correct for the potential nonresponse bias in measurements related to variable fasting blood glucose (FBS) in non-communicable disease risk factors survey conducted in Iran in 2007.</p> <p><strong>METHODS: </strong>Five multiple imputation methods as bootstrap expectation maximization, multivariate normal regression, univariate linear regression, MI by chained equation, and predictive mean matching were applied to impute variable fasting blood sugar. To make FBS consistent with normality assumption natural logarithm (Ln) and Box-Cox (BC) transformations were used prior to imputation. Measurements from which we intended to remove nonresponse bias included mean of FBS and percentage of those with high FBS.</p> <p><strong>RESULTS:</strong> For mean of FBS results didn’t considerably change after applying MI methods. Regarding the prevalence of high blood sugar all methods on original scale tended to increase the estimates except for predictive mean matching that along with all methods on BC or Ln transformed data didn’t change the results.</p> <p><strong>CONCLUSIONS: </strong>FBS<strong>-</strong>related<strong> </strong>measurements didn’t change after applying different MI methods. It seems that<strong> </strong>nonresponse bias was not an important challenge regarding these measurements. However use of MI methods resulted in more efficient estimations. Further studies are encouraged on accuracy of MI methods in these settings.</p>

scholarly journals Prevalence, clustering and sociodemographic distributions of non-communicable disease risk factors in Nepalese adolescents: secondary analysis of a nationwide school survey

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e028263 ◽  
Author(s):  
Raja Ram Dhungana ◽  
Bihungum Bista ◽  
Achyut Raj Pandey ◽  
Maximilian de Courten
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Alcohol Consumption ◽  
Vegetable Intake ◽  
Disease Risk ◽  
Communicable Disease ◽  
Fruit And Vegetable Intake ◽  
Fruit And Vegetable ◽  
Insufficient Physical Activity ◽  
Non Communicable Disease

ObjectivesTo assess the prevalence, clustering and sociodemographic distribution of non-communicable disease (NCD) risk factors in adolescents in Nepal.DesignData originated from Global School Based Student Health Survey, Nepal conducted in 2015–2016.SettingThe study sites were the secondary schools in Nepal; 74 schools were selected based on the probability proportional to school enrolment size throughout Nepal.Participants5795 school-going children aged 13–17 years were included in the study.Primary outcomesNCD risk factors: smoking, alcohol consumption, insufficient fruit and vegetable intake, insufficient physical activity and overweight/obesity were the primary outcomes. Sociodemographic distributions of the combined and individual NCD risk factors were determined by Poisson regression analysis.ResultsFindings revealed the prevalence of smoking (6.04%; CI 4.62 to 7.88), alcohol consumption (5.29%; CI 4.03 to 6.92), insufficient fruit and vegetable intake (95.33%; CI 93.89 to 96.45), insufficiently physical activity (84.77%; CI 81.04 to 87.88) and overweight/obesity (6.66%; CI 4.65 to 9.45). One or more risk factors were present in 99.6%, ≥2 were in 83% and ≥3 were in 11.2%. Risk factors were more likely to cluster in male, 17 years of age and grade 7. Prevalence of smoking (adjusted prevalence ratio (aPR)=2.38; CI 1.6 to 3.51) and alcohol consumption (aPR=1.81; CI 1.29 to 2.53) was significantly high in male, and in 16 and 17 years of age. Prevalence of insufficient physical activity and overweight/obesity was significantly lower in higher grades.ConclusionInsufficient fruit and vegetable intake and insufficient physical activity were highly prevalent in the populations studied. Risk factors were disproportionately distributed and clustered in particular gender, age and grade. The study population requires an age and gender specific preventive public health intervention.

Chronic non-communicable disease risk calculators – An overview, part I

Maturitas ◽  
2021 ◽  
Vol 143 ◽  
pp. 25-35
Author(s):  
Fabienne Juchli ◽  
Martina Zangger ◽  
Andrea Schueck ◽  
Michael von Wolff ◽  
Petra Stute
Keyword(s):  
Disease Risk ◽  
Communicable Disease ◽  
Non Communicable Disease

scholarly journals Non-Communicable Disease Risk Factors among Employees and Their Families of a Saudi University: An Epidemiological Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (11) ◽  
pp. e0165036 ◽  
Author(s):  
Rasmieh Alzeidan ◽  
Fatemeh Rabiee ◽  
Ahmed Mandil ◽  
Ahmad Hersi ◽  
Amel Fayed
Keyword(s):  
Risk Factors ◽  
Epidemiological Study ◽  
Disease Risk ◽  
Communicable Disease ◽  
Non Communicable Disease

scholarly journals Describing the burden of non-communicable disease risk factors among adults with diabetes in Wallis and Futuna

2014 ◽  
Vol 4 (1) ◽  
pp. 39-43 ◽  
Author(s):  
N. Girin ◽  
R. Brostrom ◽  
S. Ram ◽  
J. McKenzie ◽  
A. M. V. Kumar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Non Communicable Disease

Nationwide Non-Communicable Disease Risk Factors Profile in Bangladesh

2015 ◽  
Vol 33 ◽  
pp. e17
Author(s):  
Subrina Jesmin ◽  
Md Arifur Rahman ◽  
AKM Ahsan Habib ◽  
Md Majedul Islam ◽  
Sayeeda Nusrat Sultana ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Non Communicable Disease
Sign in / Sign up

Export Citation Format

Share Document