Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: FBS-related measurements didn’t change after applying different MI methods. It seems that 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.

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Prevalence of Stroke and Associated Risk Factors in Older Adults in Havana City and Matanzas Provinces, Cuba (10/66 Population-Based Study)

MEDICC Review ◽

10.37757/mr2010.v12.n3.6 ◽

2010 ◽

Vol 12 (3) ◽

pp. 20 ◽

Cited By ~ 15

Keyword(s):

Risk Factors ◽

Older Adults ◽

Population Based ◽

Population Based Study ◽

Associated Risk Factors ◽

Havana City

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

BMJ Open ◽

10.1136/bmjopen-2018-028263 ◽

2019 ◽

Vol 9 (5) ◽

pp. e028263 ◽

Cited By ~ 4

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

PLoS ONE ◽

10.1371/journal.pone.0165036 ◽

2016 ◽

Vol 11 (11) ◽

pp. e0165036 ◽

Cited By ~ 11

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

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

Public Health Action ◽

10.5588/pha.13.0082 ◽

2014 ◽

Vol 4 (1) ◽

pp. 39-43 ◽

Cited By ~ 1

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

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Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults

Scientific Reports ◽

10.1038/s41598-020-73224-8 ◽

2020 ◽

Vol 10 (1) ◽

Cited By ~ 1

Author(s):

Yahya Pasdar ◽

Shima Moradi ◽

Jalal Moludi ◽

Somaiyeh Saiedi ◽

Mehdi Moradinazar ◽

...

Keyword(s):

Cardiovascular Diseases ◽

Communicable Disease ◽

Population Based ◽

Cardiac Events ◽

Height Ratio ◽

Population Based Study ◽

Adult Participants ◽

Waist To Height Ratio ◽

Age Range ◽

Non Communicable Disease

Abstract It has been suggested that abdominal obesity might be a better cardiovascular diseases (CVDs) discriminator than overall obesity. The most appropriate obesity measures for estimating CVD events in Kurdish populations have not been well-recognized. The objective of the present study was, therefore, to determine the cutoff points of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist to height ratio (WHtR) as the diagnostic cut-offs to discriminate the prevalent cardiovascular diseases. The data collected from Ravansar Non-Communicable Disease (RaNCD) cohort, the first Kurdish population-based study, was analyzed. The information related to BMI, WC, WHR and WHtR of 10,065 adult participants in the age range of 35–65 was analyzed in this study. Receiver operating characteristic (ROC) analyses were conducted to evaluate the optimum cut-off values and to predict the incidence of cardiac events. The results showed that WHtR had the largest areas under the ROC curve for cardiac events in both male and female participants, and this was followed by WHR, WC, and BMI. The optimal cut-off values for determining the cardiac events in the Kurdish population were BMI = 27.02 kg/m2 for men and BMI = 27.60 kg/m2 for women, WC = 96.05 cm in men and 99.5 cm for women, WHRs = 0.96 in both sexes, and WHtR = 0.56 for men and 0.65 for women. The current study, therefore, showed that WHtR might serve as a better index of prevalent cardiac event than BMI, WHR and WC.

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