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Alarming prevalence and clustering of modifiable noncommunicable disease risk factors among adults in Bhutan: a nationwide cross-sectional community survey

Overview of attention for article published in BMC Public Health, December 2017
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Mentioned by

policy
1 policy source
twitter
5 X users

Citations

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42 Dimensions

Readers on

mendeley
177 Mendeley
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Title
Alarming prevalence and clustering of modifiable noncommunicable disease risk factors among adults in Bhutan: a nationwide cross-sectional community survey
Published in
BMC Public Health, December 2017
DOI 10.1186/s12889-017-4989-x
Pubmed ID
Authors

Dorji Pelzom, Petros Isaakidis, Myo Minn Oo, Mongal Singh Gurung, Pemba Yangchen

Abstract

Bhutan is currently facing a double burden of non-communicable (NCDs) and communicable diseases, with rising trends of NCDs. The 2014 STEPS survey identified high prevalence of several NCD risk factors; however, associations with socio-demographic characteristics as well as clustering of risk factors were not assessed. This study aimed to determine the distribution and clustering of modifiable NCD risk factors among adults in Bhutan and their demographic and social determinants. This was secondary analysis of data from NCD Risk Factors WHO STEPS Survey 2014 in Bhutan. A weighted analysis was conducted to calculate the prevalence of NCD risk factors, and associations were explored using weighted log-binomial regression models. This study included 2822 Bhutanese aged 18-69 years; 52% were 18-39 years, 62% were female, and 69% were rural resident. Prevalence of high salt intake, unhealthy diet and tobacco use were 99, 67 and 25% respectively. Raised blood pressure was the commonest (36%) modifiable biological risk factor followed by overweight (33%). The median NCD risk factors per person was 3 (Inter Quartile Range: 2-4); 52.5%% had > = 3 risk factors. A statistically significant difference was found between male vs. female in alcohol consumption(aPR 0.71, 95% CI: 0.53-0.97), low physical activity(aPR 2.06, 95% CI: 1.54-2.75), impaired fasting glycaemia(aPR 1.24, 95% CI: 1.01-1.52), and being overweight(aPR 1.46, 95% CI: 1.31-1.63). Low physical activity was more common among those with secondary and above education level vs. those without any formal education(aPR 1.71, 95% CI: 1.24-2.35), and among those residing in urban areas vs. those in rural(aPR 3.43, 95% CI: 2.27-5.18). Older participants and urban residents were more likely to have > = 3 NCD risk factors compared to younger(aPR 1.46, 95% CI: 1.35-1.58) and rural residents(aPR 1.21, 95% CI: 1.10-1.32). Lifestyle modifications at the population level are urgently required in Bhutan as several NCD risk factors such as high salt intake, unhealthy diet, overweight, and high blood pressure were alarmingly high and frequently clustered. Moreover there is a need to consider policy and socio-political and economic factors that have undermined global and national progress to address the rise of NCDs and their risk factors in Bhutan as elsewhere.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 177 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 15%
Student > Bachelor 26 15%
Researcher 20 11%
Student > Postgraduate 14 8%
Lecturer 8 5%
Other 22 12%
Unknown 60 34%
Readers by discipline Count As %
Medicine and Dentistry 42 24%
Nursing and Health Professions 27 15%
Social Sciences 12 7%
Agricultural and Biological Sciences 5 3%
Sports and Recreations 4 2%
Other 12 7%
Unknown 75 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2020.
All research outputs
#6,486,192
of 24,580,204 outputs
Outputs from BMC Public Health
#6,726
of 16,248 outputs
Outputs of similar age
#121,963
of 450,470 outputs
Outputs of similar age from BMC Public Health
#128
of 218 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 16,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.