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Prevalence of obesity and behaviors associated with the development of metabolic disease among medical practitioners in Jordan

Overview of attention for article published in Journal of Education and Health Promotion, March 2015
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Article details
Title
Prevalence of obesity and behaviors associated with the development of metabolic disease among medical practitioners in Jordan
Published in
Journal of Education and Health Promotion, March 2015
DOI 10.4103/2277-9531.154036
Pubmed ID
Authors

Jafar F. Alarjan, Omar S. Hindawi, Lawrence W. Judge, Ziad A. Aleyadh, David M. Bellar

Abstract

The health status of medical practitioners can potentially impact their ability to counsel patients. The purpose of the study was to examine the prevalence of obesity and behaviors associated with the development of metabolic disease among medical practitioners in the country of Jordan. The participants were 748 (male n = 285, 32.3 years ± 7.3, female n = 463, 29.7 years ± 5.7) randomly selected pharmacists, nurses, physicians, medical lab technicians, and radiation specialists from a variety of medical institutions in Jordan. A short 25-item validated instrument was chosen for this investigation. After the survey was administered and data were tabulated, one-way analysis of variance and Pearson's Chi-square analysis were conducted to examine differences in reported risk behaviors (low physical activity [PA], smoking) and obesity by gender, age and medical specialty. Descriptive analysis revealed that 20.9% of the participants self-reported as smokers of cigarettes, 47.9% were either overweight or obese, and 52.9% reported no days of planned PA on average per week. The results suggested a difference in body mass index (BMI) classification (F = 17.9, P ≤ 0.001) and smoking (F = 5.33, P = 0.021) by age. Mean age associated with being underweight was 26.4 years for normal weight 29.3 years for overweight 31.6 years and finally for obese was 34.5 years. Chi-square test resulted in differences by gender (χ(2) > 50, P ≤ 0.001) for BMI (males: 26.4 ± 3.7; females: 24.6 ± 3.7), PA (males no planned PA 61.1%, females 47.9%) and smoking (males 43.1% smokers, females 7.1%). Researchers discovered that medical specialty was related to differences in reported smoking (χ(2) = 26.5, P ≤ 0.001) and days of planned PA (χ(2) = 24.2, P = 0.019). Within the population of medical practitioners there is still a high incidence of obesity and risk behaviors associated with metabolic diseases. It also appears that these incidence rates are greater among men, with increasing age, and among certain medical specialties.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 3 14%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 9%
Student > Postgraduate 2 9%
Librarian 1 5%
Other 1 5%
Unknown 10 45%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Nursing and Health Professions 2 9%
Psychology 1 5%
Social Sciences 1 5%
Unknown 12 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 August 2018.
All research outputs
#16,046,765
of 25,371,288 outputs
Outputs from Journal of Education and Health Promotion
#196
of 557 outputs
Outputs of similar age
#150,937
of 277,736 outputs
Outputs of similar age from Journal of Education and Health Promotion
#2
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 61% 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 277,736 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.