scholarly journals Current tobacco use and its associated factors among adults in Georgia: findings from Non-Communicable Disease Risk Factors STEPS Survey Georgia 2016

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Nino Maglaklelidze ◽  
Lela Sturua ◽  
Amiran Gamkrelidze ◽  
Mariam Maglakelidze
Keyword(s):  
Risk Factors ◽  
Tobacco Use ◽  
Associated Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Steps Survey ◽  
Current Tobacco ◽  
Non Communicable Disease

scholarly journals Prevalence of Tobacco Use and Associated Factors among Adults in Benin in 2015: Results of the National Survey of Non-Communicable Disease Risk Factors

2018 ◽  
Vol 08 (03) ◽  
pp. 130-144
Author(s):  
Alexandrine Houinato ◽  
Roch Christian Johnson ◽  
Alphonse Kpozehouen ◽  
Fernand Guedou ◽  
Christophe Houssou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tobacco Use ◽  
National Survey ◽  
Associated Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Non Communicable Disease

scholarly journals Tobacco use and associated factors among Rwandan youth aged 15-34 years: Findings from a nationwide survey, 2013

2019 ◽  
Author(s):  
François Habiyaremye ◽  
Samuel Rwunganira ◽  
Clarisse Musanabaganwa ◽  
Marie Aimée Muhimpundu
Keyword(s):  
Tobacco Use ◽  
Rural Areas ◽  
Associated Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Southern Province ◽  
Significant Difference ◽  
Current Tobacco

AbstractIntroductionTobacco use is the single most preventable cause of death in the world. The objective of this study was to determine the prevalence of current tobacco use and identify associated factors among Rwandans aged 15-34 years.MethodsThis cross-sectional analytical study analysed secondary data collected during the nationally representative Non-Communicable Disease Risk Factors Surveillance survey conducted in 2013 to explore the prevalence of tobacco use in Rwanda and identify factors associated with tobacco use. This study analysed data collected from 3,900 youth participants (15-34 years old), selected using multistage cluster sampling technique. The overall proportion of current smokers, as well as demographic and socioeconomic characteristics of the sample were determined and multivariable logistic regression employed to identify factors independently associated with current tobacco use.ResultsThe prevalence (weighted) of current tobacco use (all forms) was 8% (95%CI: 7.08-9.01). Prevalence statistically significant was found in the following group: higher prevalence was found among males, young adults aged 24-34, youth with primary school education or less, those from Southern province, people with income (work in public, private organizations and self-employed) and young married adults.There was no statistically significant difference in prevalence of tobacco use between participants from urban or rural areas (7.8% vs. 8.0%). Factors that were found to be associated with current tobacco use through the multivariate analysis included being a male, aged 25 years and above, having an income, and residing in Eastern, Kigali City and Southern Province compared to Western province.ConclusionThe association between smoking and sociodemographic characteristics among Rwandan youth identified in this study provides an opportunity for policy makers to tailor future policies, and implement coordinated, high-impact interventions to prevent initiation of tobacco use among the youth.

Surveillance for non-communicable disease risk factors in Maldives: results from the first STEPS survey in Male

2010 ◽  
Vol 55 (5) ◽  
pp. 489-496 ◽  
Author(s):  
Maimoona Aboobakur ◽  
Ali Latheef ◽  
Ahmed Jamsheed Mohamed ◽  
Sheena Moosa ◽  
Ravindra Mohan Pandey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Risk ◽  
Communicable Disease ◽  
Steps Survey ◽  
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.

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