↓ Skip to main content

Comorbidity of depression and diabetes: an application of biopsychosocial model

Overview of attention for article published in International Journal of Mental Health Systems, December 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
167 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comorbidity of depression and diabetes: an application of biopsychosocial model
Published in
International Journal of Mental Health Systems, December 2016
DOI 10.1186/s13033-016-0106-2
Pubmed ID
Authors

Tesfa Dejenie Habtewold, Md. Atiqul Islam, Yosef Tsige Radie, Balewgizie Sileshi Tegegne, Habtewold, Tesfa Dejenie, Islam, Md Atiqul, Radie, Yosef Tsige, Tegegne, Balewgizie Sileshi

Abstract

Type 2 diabetes (T2D) is one of the most psychologically demanding chronic medical illness in adult. Comorbidity between diabetes and depression is quite common, but most studies were based on developed country sample. Limited data exists to document biopsychosocial predictors of depressive symptoms in Ethiopian patients. Therefore, the aim of the study was to describe the association of depressive symptoms and T2D and explore the potential underlying associated biopsychosocial risk factors. Institution based cross-sectional study was conducted on 276 patient with T2D at diabetic clinic, Black Lion General Specialized Hospital in Ethiopia. Patients were selected using systematic random sampling technique. Depressive symptoms score, which constructed from a validated nine-item Patient Health Questionnaire (PHQ-9), was an outcome variable. Finally, significant associated factors were identified using multiple linear regression analysis with backward elimination procedure. Statistical Package for Social Science (SPSS) version 22.0 (IBM SPSS Corp.) was used to perform all analysis. Total of 264 patient data was analyzed with 95.7% response rate. Patients mean (SD) current age and age at diagnosis was 55.9 (10.9) and 43.9 (10.9) years, respectively. Patients waist circumference (mean ± SD) was 98.9 ± 11.1 cm. The average PHQ-9 score was 4.9 (SD 4.1) and fasting blood glucose was 166.4 (SD 73.2). Marital status (divorced), occupation (housewife), diabetic complication (nephropathy), negative life event in the last six months, and poor social support significantly associated with increased mean PHQ-9 score after adjustment for covariates. Whereas not fearing diabetic-related complication and death significantly lower mean PHQ-9 score. Biopsychosocial variables including marital status, negative life event in the last 6 months, occupation, diabetic complication, and poor social support significantly increase average depressive symptoms score. Evidence-based intervention focusing on these identified biopsychosocial factors are necessary to prevent the development of depressive symptoms.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 166 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 21%
Student > Bachelor 31 19%
Student > Ph. D. Student 18 11%
Student > Postgraduate 14 8%
Student > Doctoral Student 10 6%
Other 22 13%
Unknown 37 22%
Readers by discipline Count As %
Medicine and Dentistry 47 28%
Psychology 30 18%
Nursing and Health Professions 23 14%
Agricultural and Biological Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 16 10%
Unknown 42 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 March 2018.
All research outputs
#6,182,290
of 20,927,597 outputs
Outputs from International Journal of Mental Health Systems
#369
of 686 outputs
Outputs of similar age
#131,420
of 419,309 outputs
Outputs of similar age from International Journal of Mental Health Systems
#30
of 48 outputs
Altmetric has tracked 20,927,597 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 686 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 46th percentile – i.e., 46% 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 419,309 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 68% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.