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Attention Score in Context
| Title |
Clustering of non-communicable diseases risk factors in Bangladeshi adults: An analysis of STEPS survey 2013
|
|---|---|
| Published in |
BMC Public Health, July 2015
|
| DOI | 10.1186/s12889-015-1938-4 |
| Pubmed ID | |
| Authors |
M. Mostafa Zaman, Mahfuzur Rahman Bhuiyan, Md. Nazmul Karim, MoniruzZaman, Md. Mukhlesur Rahman, Abdul Waheed Akanda, Thushara Fernando |
| Abstract |
Non-communicable diseases (NCDs) have already become major killers in Bangladesh. Once NCDs are developed, they become chronic health and economic problems. Their primary prevention is linked to their common risk factors. This study was conducted to determine the prevalence of NCD risk factors with a focus on their clustering in Bangladeshi adults. This nationally representative study was done in 4,073 (1,812 men and 2,261 women) adults aged 25 years or older selected from rural and urban households. Multistage cluster sampling design was used. Selected variables were in line with steps I and II of WHO stepwise surveillance except alcohol. Forty-four percent used tobacco in any form. Almost 93 % did not consume adequate fruit and vegetables (5 servings or more). Thirty eight percent had low physical activity level (<600 MET-minutes/week). One-quarter (26 %) were overweight (body mass index > =25 kg/m^2). Twenty-one percent had hypertension (blood pressure > =140/90 mmHg or medication) and about 5 % had documented diabetes. Upon examination of risk factor clustering, we observed that 38 % had at least three risk factors. After this threshold, clustering suddenly dropped down to a fairly low level. Using this threshold as a cut-off, clustering of risk factors was associated with age, male gender, urban residence, educational levels and quality of house in multivariate analysis. Prevalence of NCD risk factors is fairly high in Bangladeshi adults with a tendency of clustering. If a risk factor such as hypertension is detected, a closer look for other risk factors has to be given in both at clinical and public health settings. Clustering raises risk by more than a summation of risk factors. Our findings, therefore, suggest that Bangladesh could expect a significant increase in NCDs in near future. |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 257 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 55 | 21% |
| Researcher | 31 | 12% |
| Student > Bachelor | 21 | 8% |
| Student > Ph. D. Student | 15 | 6% |
| Student > Postgraduate | 14 | 5% |
| Other | 38 | 15% |
| Unknown | 83 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 64 | 25% |
| Nursing and Health Professions | 32 | 12% |
| Social Sciences | 18 | 7% |
| Agricultural and Biological Sciences | 5 | 2% |
| Sports and Recreations | 5 | 2% |
| Other | 35 | 14% |
| Unknown | 98 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 October 2023.
All research outputs
#7,524,541
of 22,963,381 outputs
Outputs from BMC Public Health
#7,944
of 14,960 outputs
Outputs of similar age
#89,595
of 263,080 outputs
Outputs of similar age from BMC Public Health
#148
of 270 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 263,080 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 57% of its contemporaries.
We're also able to compare this research output to 270 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.