Skip to main content
Download PDF

Analysis of global research output on diabetes depression and suicide

Annals of General Psychiatry volume 17, Article number: 44 (2018) Cite this article

Abstract

Background

Diabetic patients, during the course of the disease, are most likely to experience depressive symptoms that might ultimately lead to suicidal ideation or suicide. The size of literature in diabetes depression/suicide is a good indicator of national and international efforts to address psychological co-morbidities associated with diabetes mellitus (DM). Therefore, the objective of this study was to give a comprehensive analysis, both quantitative and qualitative, of scientific literature in diabetes depression/suicide.

Methods

SciVerse Scopus was used to retrieve relevant literature up to 2016.

Results

In total, 1664 journal documents were retrieved with an average of 26.9 citations per article and an h-index of 98. Publications started in 1949 but showed a steep and noticeable increase after 2001. Retrieved articles were published in 641 different journals with Diabetes Care journal being the top productive one with a total of 130 (7.8%) articles. Researchers from 83 different countries participated in retrieved publications. Researchers from the United States of America participated in publishing 685 articles. There was a strong and positive correlation between research output and Gross Domestic Product (r = 0.083; p < 0.001) but not with prevalence or mortality caused by DM. Researchers from 4870 different institutions/organizations participated in publishing retrieved articles. Publications from the University of Washington, Seattle, USA had the highest h-index (38), while “VA medical centers” had the highest number of publications (75; 4.5%). In total, 5715 authors appeared in retrieved articles giving an average of 3.4 authors per article. Top cited articles focused on prevalence, impact of depression on glycemic control, and potential risk of diabetic complications. The total number of publications in depression/suicide in diabetic patients was lesser than that in cardiac (1938) or in cancer (1828) patients. However, publications in diabetes depression/suicide exceeded those in cardiac and cancer in the last 2 years of the study period.

Conclusion

The current study showed a noticeable growth of publications indicative of the importance of this topic. Research focusing on the psychiatric component of diabetes mellitus needs to be strengthened and encouraged. At the practical level, screening for depression/suicide among patients attending primary healthcare clinics is needed to optimize health and quality of life of diabetic patients.

Background

Diabetes mellitus (DM) is a chronic metabolic disease that requires careful changes in life style that can be demanding and difficult to implement by some diabetic patients [1]. According to World Health Organization’s (WHO) recent report, the number of people diagnosed with diabetes mellitus (DM) has risen from 108 million in 1980 to 422 million in 2014 [2]. In 2012, an estimated 1.5 million deaths were directly caused by diabetes and another 2.2 million deaths were attributable to high blood glucose [2]. Diabetes mellitus is considered as a national and global health burden. It is estimated that at least 10% of healthcare expenditures in many countries is invested in preventing and combating DM complications [3]. Diabetes mellitus is not only a health and economic burden but also a social and psychological challenge that could ultimately lead to chronic depression.

Depression is a common mental disorder and according to the WHO, more than 300 million people worldwide had depression. Depression is a serious illness and if not properly addressed, it can affect the normal function of affected people and might sometimes lead to suicide [4]. Globally, there is an increased trend of suicide [5]. According to the WHO, close to 800,000 deaths occur annually due to suicide and the majority (78%) of these cases occur in low- and middle-income countries (LMIC) [6]. Psychiatric disorders are known to impair the control of chronic diseases such as DM and behavioral interventions in such conditions might have more pronounced effects than medications [7].

Diabetic patients, and during the course of the disease, are most likely to experience depressive symptoms that might ultimately lead to suicidal ideation or suicide. Published studies showed that individuals with diabetes have an increased incidence of major depression when compared to the general population [8,9,10]. The high prevalence of depression among diabetic patients had led to the term “diapression” [11]. Vascular changes due to DM could be the biological basis for the development of depression among diabetic patients [12]. The relationship between diabetes and depression could be bidirectional with one disease leading to the increased risk of having the other disease [13]. Regardless of the directionality of the disease, the presence of depression in diabetes mellitus could worsen self-care, poor medication adherence, increased healthcare cost, poor glycemic control, potential risk of diabetic micro- and macro-vascular complications, and poor QOL [14,15,16]. The presence of depression in diabetic patients could lead to suicide ideation and suicide attempts. Studies have shown that diabetic patients, particularly type 1 DM, have higher risk of suicide ideation and suicidal attempts than non-diabetic patients [17, 18].

In light of increasing incidence of diabetes mellitus and in light of geographical and social differences in healthcare services and health literacy in diabetes, the need to assess the growth of research on diabetes depression/suicide becomes very important. Quantitative and qualitative analysis of publications in a particular area is usually called bibliometrics or scientometrics in which statistical methods are applied on a set of retrieved publications [19]. Bibliometric analysis is a growing field of information science which had been applied to various scientific disciplines [20,21,22,23,24]. Bibliometric analysis is a key element in establishing baseline data for future comparison in any scientific subject. Bibliometric analysis in diabetes depression/suicide could help to establish strategies for improving the volume and quality of research in this field and the results could help to identify research gaps that future studies could focus on. The size of literature and research productivity in diabetes depression/suicide are good indicators of national and international efforts to decrease the health and economic burden of DM and the national and international efforts to address psychological co-morbidities associated with diabetes that could affect the QOL and glycemic control in diabetic patients.

To date, no studies have been published to summarize global research efforts, research trends, and geographical distribution of research output in diabetes depression/suicide, despite that several bibliometric analyses in diabetes research activity had been published [21, 25,26,27,28]. Therefore, the objective of this study was to give a comprehensive analysis, both quantitative and qualitative, of scientific literature in diabetes depression/suicide.

Methods

Bibliographic database

For the purpose of this study, only peer-reviewed articles published in scientific journals indexed in SciVerse Scopus were retrieved. Gray literature such as governmental and non-governmental reports, brochures, dissertations, theses, and newsletters were not included because some of the gray literature especially thesis and dissertation might have been published as research articles in peer-reviewed journals and therefore, they will create false-positive results due to overlap. The choice of Scopus database was based on the understanding of the author that it is larger than Web of Science and includes 100% of Medline [29]. Furthermore, Scopus has many analytic functions that facilitate bibliometric investigations of retrieved literature and therefore, it had been used in many previously published articles in the medical field.

Research strategy and keywords

To achieve the goal of the study, a set of related keywords pertaining or indicative of diabetes along with keywords related to depression or suicide were used. Keywords used in the search strategy were obtained from available systematic reviews [30,31,32,33,34,35]. The search strategy and keywords used along with the number of documents retrieved in each step are shown in Additional file 1: Appendix S1. To avoid any misinterpretation, we excluded publications in gestational diabetes mellitus and in experimental animals. The search strategy was based on searching for specific keywords in title of articles and not in abstract or author keywords. Actually, search for keywords in abstract and/or keywords yielded too many false-positive results that could negatively affect the validity of the study.

Validity check

The validity of research strategy was checked by manual review of top 20 cited articles to guarantee the absence of false-positive results. Furthermore, visualized author keywords were used to check for any irrelevant terms or false-positive results. For example, it was noticed that some keywords such as neuropathic pain, diabetes insipidus were present in retrieved articles and therefore, such keywords were excluded. Finally, research productivity of top active authors was retrieved manually and compared with those obtained using the current search strategy. The correlation between the manually obtained results and those obtained by search strategy was high with an interclass correlation of 96.8% indicative of high validity of the results and very low percentage of false negative.

Bibliometric indicators

Retrieved documents were refined, analyzed, and mapped to show research contribution and research trends. The time span of the study was set from 1997 to 2016. The Hirsch index (h-index) was used to assess the quality of published literature, while impact factor (IF) obtained from Journal Citation Report (2016) was used to assess the strength of publishing journals. Analysis of growth of publications with time was presented graphically using Statistical Package for Social Sciences (SPSS 21). For mapping keywords as well as international research collaboration, VOSviewer software was used [36]. In VOSviewer, the extent of collaboration is assessed by the thickness of a line connecting any two items such as countries or authors. For research productivity, the larger circle size or font size presenting a country or author, the greater the research productivity or citations of the listed author or country [36]. For geographical distribution of publications, ArcMap 10.1 software was used. Active institutions/organizations as well as most preferred journals for publishing articles in DSM were presented as top ten ones.

Results

The total number of retrieved articles was 1664. Research articles constituted the majority (1311; 78.8%) of retrieved documents followed by review articles (160; 9.6%) (Table 1). The main language in retrieved articles was English (1497; 90.0%) followed by German (67; 4.0%) and Spanish (30; 1.8%). Retrieved documents had an h-index of 98 and the highest number of citations recorded was 2060 for a meta-analysis study published in 2001 about the prevalence of depression among diabetic patients [37]. Retrieved documents received a total number of citations of 44,775, an average of 26.9 citations per article. The vast majority of retrieved articles was about diabetes depression, while 46 (2.8%) articles were about diabetes suicide and suicidal ideation.

Table 1 Types of retrieved documents
Full size table

Of retrieved articles, 765 (46%) were in the subject area of “Medicine”, 311 (18.7%) were in the subject area of “Biochemistry, genetics, immunology, and molecular biology”, while 227 (13.6%) were in the subject area of “psychology”. Various subject areas of retrieved articles are shown in Table 2.

Table 2 Subject areas of retrieved documents
Full size table

Growth of publications in diabetes depression/suicide started in 1949 with an article published in The New England Journal of Medicine about the effects of a large dose of insulin taken for suicidal attempt [38]. The number of publications in diabetes depression/suicide started in 1949, but remained very low until 2001. After 2001, the number of publications showed a steep and noticeable increase. Figure 1 shows the annual growth of publications in diabetes depression/suicide. Approximately, 92% of retrieved articles were published during the period from 2001 to 2016. The remaining 8% were published from 1949 to 2001. The highest number of publications recorded was 200 publications obtained in 2015.

Fig. 1
figure1

Growth of publications in diabetes depression/suicide

Full size image

Growth of publications was compared with that in other chronic diseases, particularly cancer and cardiac diseases. The total number of publications in diabetes depression/suicide (1664) was lesser than that in cardiac diseases depression/suicide (1938) and lesser than that in cancer depression/suicide (1828). However, the growth of publications in the three diseases showed that the ones in diabetes depression/suicide exceeded the other two in the last 2 years of the study period. Figure 2 showed the growth of publications in the three diseases with focus on the past three decades to facilitate comparison of growth of publications.

Fig. 2
figure2

Comparison of growth of publications in diabetes depression/suicide with that in cardiac diseases and in cancer (1986–2016). DM, diabetes mellitus; CVD, cardiovascular diseases

Full size image

Retrieved articles were published in 641 different journals. Names of journals that published at least 10 documents are shown in Table 3 along with their most recent IF. The active list included a total of 18 journals with Diabetes Care being the top productive one with a total of 130 (7.8%) articles. More than half (10; 55.6%) of top active journals were in the field of diabetes and six were in the field of psychiatry/psychology (6; 33.3%), one (Plos One) was multidisciplinary, and one was in internal medicine. Seventeen journals in the active list had an official IF and two had an IF above five.

Table 3 List of journals with a minimum of 10 publications in diabetes depression/suicide
Full size table

Researchers from 83 different countries participated in publishing retrieved articles. Countries with a minimum productivity of 10 documents are listed in Table 4 along with the reported prevalence of DM in each country. No significant correlation existed between prevalence of DM and research productivity in diabetes depression/suicide. The most productive country was the United States of America (USA) with a total productivity of 685 documents followed by the United Kingdom (UK) with a total productivity of 125 documents. No significant correlation was found between research output and prevalence of DM or mortality caused by DM per 100,000 population. However, there was a strong and positive correlation between research output and GDP (r = 0.083; p < 0.001). Despite that there was no significant correlation between research output and mortality rate caused by DM, there was a general trend of increased mortality caused by DM with low research output. This trend was obvious in countries such as Oman, Bahrain, Jordan, Morocco, South Africa, and Mexico (data not shown). Geographical distribution of publications showed that Africa, East Europe, and South America had poor research output in the field of diabetes depression/suicide. Figure 3 is a world map for geographical distribution of publications.

Table 4 List of countries with minimum participation of 10 articles in diabetes depression/suicide based on country affiliation of authors
Full size table
Fig. 3
figure3

Geographical distribution of publications in diabetes depression/suicide. No data were available from regions with light blue color

Full size image

Researchers from 4870 different institutions/organizations participated in publishing retrieved articles. Institutions/organizations with a minimum productivity of 10 documents were shown in Table 5. The active top 10 list included seven institutions in the USA, two in Netherlands and one in Canada. Publications from the University of Washington, Seattle, USA had the highest h-index (38) while “VA medical centers” had the highest number of publications (75; 4.5%).

Table 5 List of top active institutions/organizations
Full size table

In total, 5715 authors participated in publishing the retrieved documents giving an average of 3.4 authors per article. Authors with a minimum productivity of 10 documents and belong to a network of authors are visualized in Fig. 4. Visualization map of active authors included 36 authors grouped into six clusters. The largest cluster (red cluster) included 14 authors forming a network of collaboration. The size of the circle in the map reflects the size of the productivity, while the lines connecting the circles reflect the extent of author collaboration. Authors with the highest productivity include Katon W.J., Pouwer F., and Lustman P.J.

Fig. 4
figure4

Network visualization map of authors

Full size image

Top 20 cited articles are listed in Table 6. Top cited articles discussed issues related to epidemiology, impact of depression on glycemic control, diabetic complications/mortality, medication adherence, and quality of life. Four articles in top 20 cited articles discussed depression as a risk factor for diabetes and the bidirectional relationship between diabetes and depression. Analysis of author keywords using VOSviewer mapping showed that the following author keywords were most frequently encountered: “quality of life”, epidemiology, prevalence, complications, screening, “primary care”, adherence, self-management, mortality, women, “African–Americans”, Hispanics, and other related terms (Fig. 5).

Table 6 Top 20 cited articles in diabetes depression/suicide
Full size table
Fig. 5
figure5

Network visualization map of relevant author keywords

Full size image

Discussion

The purpose of this study was to assess and analyze global research output and research trends on diabetes depression/suicide. The current study was conducted based on the assumption that diabetes mellitus is a potential risk factor for depressive symptoms which could lead to suicidal ideation and death [39,40,41]. The current study showed that keywords such as screening and “primary healthcare” were most commonly encountered indicating that screening for depression primary healthcare centers is strongly advocated by researchers.

Subject areas of the retrieved literature

The current study showed that approximately 20% of publication in diabetes depression/suicide was within biochemistry/genetics/molecular biology subject area indicating that there was intensive research in the biological relationship between diabetes and depression. The hypothalamic–pituitary–adrenal (HPA) axis, cortisol, increased catecholamine, and proinflammatory cytokine levels play a key role in development of insulin resistance [12, 42, 43]. The current study also showed that approximately 14% of retrieved documents were within the subject area of psychology. This was unsurprising given that coping behaviors and social support for diabetic patients might be different among different cultures and ethnicities [44,45,46,47,48,49,50,51,52,53,54].

Growth of publications

Research in diabetes depression/suicide started more than six decades ago, but the number of publications accelerated and showed a dramatic increase in the past decade. The growth of publication could be due to several factors. The overall increase in number of scholars, institutions, peer-reviewed journals, and global research output in the field of medicine positively affected the number of publications in diabetes depression/suicide. Second, certain findings regarding the scientific link between depression and poor glycemic control have triggered more research in this field. A third potential reason for the growth of publications was the debate about the bidirectional relationship between diabetes and depression and the role of depression as a potential risk factor for diabetes [13, 55,56,57,58,59]. The growth of publications is of great relevance to mental health practitioners and should argue in favor of routine depression screening in diabetic patients in primary healthcare facilities [60,61,62,63,64,65,66,67,68].

Comparison with other diseases

The current study showed that the growth of research on diabetes depression showed a steeper increase than that on cardiac or cancer-depression research. Actually, in the last 3 years of the study period, the number of publications in diabetes depression/suicide exceeded that of cardiac or cancer publications indicating a global interest in this field. Furthermore, h-index of publications related to diabetes depression was very close to that of cardiac and cancer suggesting that depression in all chronic diseases is a serious problem that is of interest to scholars.

Geographical distribution of publications

The current study showed that geographical distribution of publications was skewed toward developed countries, particularly USA, Canada, Australia, Germany, Netherlands, and UK. Other countries such as Brazil, India, and China were among top active countries. In 2000, India had the highest number of people with diabetes mellitus followed by China and the United States. It is predicted that by 2030 diabetes mellitus may afflict up to 79.4 million, 42.3 million, and 30.3 million individuals in India, China, and the USA, respectively, in 2030 [69,70,71]. Unfortunately, diabetes has been rising more rapidly in MLIC which necessitates more rigorous research in these countries to minimize diabetic complications and mortality [2]. Previously published studies also showed that contribution of LMIC to diabetes research did not match the health and economic burden of diabetes in these countries [21, 25, 27, 28, 72,73,74]. Not only diabetes research but also mental health research in LMIC was reported to be scarce [75,76,77]. The low research productivity from LMIC was also reflected in top 10 active institutions in diabetes depression/suicide research where no institution from LMIC showed up in the list.

Highly cited documents

An important aspect discussed in the top cited documents was the impact of depression on medication adherence and the potential risk of poor glycemic control. Studies showed that co-morbid diabetes and depression decreased the likelihood of adherence to lifestyle changes, specifically, diet, medication adherence, and physical activity resulting in elevated HbA1c and consequently poor self-care/self-management with increased risk of retinopathy, nephropathy, cardiac dysfunction, and mortality [78,79,80,81,82,83,84]. It had been found that depressive disorders decrease the desire to seek treatment making depression as an initial step of poor diabetes outcomes [85].

Limitations

The current study, like other bibliometric studies, has limitations that are inherent to bibliometric methodology and nature the database used [86,87,88,89,90,91,92]. Scopus database is not 100% comprehensive of literature, and therefore, some literature was missed particularly the ones published in un-indexed journals from developing countries. Second, the potential presence of false-negative results is a possibility due to the use of title search strategy. However, the title research strategy was used to minimize the false-positive results.

Conclusion

The current study showed an increasing interest of researchers in the psychiatric aspects of diabetes. This increasing interest is believed to promote the health of diabetic patients through initial screening of depression and through psychological and pharmacological treatment of the diseases. As a chronic disease with increasing global health burden, researchers need to get involved in all aspects that can alleviate the future complications of the disease to minimize health and economic burden of the disease. Future studies should focus on both epidemiological aspects in various cultures in developing countries and on the biological basis of depression in diabetic patients.

Abbreviations

DM:

diabetes mellitus

WHO:

World Health Organization

References

  1. 1.

    Armstrong C. Ada updates standards of medical care for patients with diabetes mellitus. Am Fam Physician. 2017;95(1):40–3.

    PubMed  Google Scholar 

  2. 2.

    World Health Organization: Global Report on Diabetes: World Health Organization; 2016.

  3. 3.

    Roglic G, Unwin N, Bennett PH, Mathers C, Tuomilehto J, Nag S, Connolly V, King H. The burden of mortality attributable to diabetes: realistic estimates for the year 2000. Diabetes Care. 2005;28(9):2130–5.

    PubMed  Article  Google Scholar 

  4. 4.

    World Health Organization; Depression (Fact Sheet) http://www.who.int/mediacentre/factsheets/fs369/en/. Accessed 29 Jan 2018.

  5. 5.

    Bertolote JM, Fleischmann A. A global perspective in the epidemiology of suicide. Suicidologi. 2015;7(2):6–8.

    Article  Google Scholar 

  6. 6.

    World Health Organization; Suicide (Fact Sheet). http://www.who.int/mediacentre/factsheets/fs398/en. Accessed 04 July 2017.

  7. 7.

    Cezaretto A, Siqueira-Catania A, de Barros CR, Salvador EP, Ferreira SRG. Benefits on quality of life concomitant to metabolic improvement in intervention program for prevention of diabetes mellitus. Qual Life Res. 2012;21(1):105–13.

    PubMed  Article  Google Scholar 

  8. 8.

    Poulsen K, Pachana NA. Depression and anxiety in older and middle-aged adults with diabetes. Aust Psychol. 2012;47(2):90–7.

    Article  Google Scholar 

  9. 9.

    Rubin RR, Peyrot M. Psychological issues and treatments for people with diabetes. J Clin Psychol. 2001;57(4):457–78.

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Huang C-J, Lin C-H, Lee M-H, Chang K-P, Chiu H-C. Prevalence and incidence of diagnosed depression disorders in patients with diabetes: a National Population-Based Cohort Study. Gen Hosp Psychiatry. 2012;34(3):242–8.

    PubMed  Article  Google Scholar 

  11. 11.

    Ciechanowski P. Diapression: an integrated model for understanding the experience of individuals with co-occurring diabetes and depression. Clin Diabetes. 2011;29(2):43–9.

    Article  Google Scholar 

  12. 12.

    Champaneri S, Wand GS, Malhotra SS, Casagrande SS, Golden SH. Biological basis of depression in adults with diabetes. Curr Diab Rep. 2010;10(6):396–405.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Pan A, Lucas M, Sun Q, Van Dam RM, Franco OH, Manson JE, Willett WC, Ascherio A, Hu FB. Bidirectional association between depression and type 2 diabetes mellitus in women. Arch Intern Med. 2010;170(21):1884–91.

    PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Egede LE, Osborn CY. Role of motivation in the relationship between depression, self-care, and glycemic control in adults with type 2 diabetes. Diab Educator. 2010;36(2):276–83.

    Article  Google Scholar 

  15. 15.

    Fisher L, Glasgow RE, Strycker LA. The Relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Diabetes Care. 2010;33(5):1034–6.

    PubMed  PubMed Central  Article  Google Scholar 

  16. 16.

    Egede LE, Ellis C. Diabetes and depression: global perspectives. Diab Res Clin Pract. 2010;87(3):302–12.

    Article  Google Scholar 

  17. 17.

    Pompili M, Lester D, Innamorati M, De Pisa E, Amore M, Ferrara C, Tatarelli R, Girardi P. Quality of life and suicide risk in patients with diabetes mellitus. Psychosomatics. 2009;50(1):16–23.

    PubMed  Article  Google Scholar 

  18. 18.

    Pompili M, Forte A, Lester D, Erbuto D, Rovedi F, Innamorati M, Amore M, Girardi P. Suicide risk in type 1 diabetes mellitus: a systematic review. J Psychosom Res. 2014;76(5):352–60.

    PubMed  Article  Google Scholar 

  19. 19.

    Thompson DF, Walker CK. A descriptive and historical review of bibliometrics with applications to medical sciences. Pharmacotherapy. 2015;35(6):551–9.

    PubMed  Article  Google Scholar 

  20. 20.

    Dalton J, Garvey J, Samia LW. Evaluation of a Diabetes Disease Management Home Care Program. Home Health Care Manag Pract. 2006;18(4):272–85.

    Article  Google Scholar 

  21. 21.

    Sweileh WM, Zyoud SH, Al-Jabi SW, Sawalha AF. Bibliometric analysis of diabetes mellitus research output from middle eastern arab countries during the period (1996–2012). Scientometrics. 2014;101(1):819–32.

    Article  Google Scholar 

  22. 22.

    Sweileh WM, Al-Jabi SW, Sawalha AF, AbuTaha AS, Zyoud SH. Bibliometric analysis of medicine-related publications on poverty (2005–2015). SpringerPlus. 2016;5(1):1888.

    PubMed  PubMed Central  Article  Google Scholar 

  23. 23.

    Sweileh WM, Al-Jabi SW, Sawalha AF, Zyoud SH. Bibliometric profile of the global scientific research on autism spectrum disorders. SpringerPlus. 2016;5(1):1480.

    PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Zyoud SH, Waring WS, Al-Jabi SW, Sweileh WM. Global cocaine intoxication research trends during 1975–2015: a bibliometric analysis of web of science publications. Subst Abuse. 2017;12(1):6.

    Google Scholar 

  25. 25.

    Liu L, Jiao JH, Chen L. Bibliometric study of diabetic retinopathy during 2000–2010 by Isi. Int J Ophthalmol. 2011;4(4):333–6.

    PubMed  PubMed Central  Google Scholar 

  26. 26.

    Peykari N, Djalalinia S, Kasaeian A, Naderimagham S, Hasannia T, Larijani B, Farzadfar F. Diabetes research in middle east countries; a scientometrics study from 1990 to 2012. J Res Med Sci. 2015;20(3):253–62.

    PubMed  PubMed Central  Google Scholar 

  27. 27.

    Somogyi A, Schubert A. Correlation between National Bibliometric and Health Indicators: the Case of Diabetes. Scientometrics. 2005;62(2):285–92.

    Article  Google Scholar 

  28. 28.

    Yan B, Xiao H. Bibliometric analysis of diabetes literatures published in recent ten years. Acad J Sec Milit Med Univ. 2006;27(6):652–5.

    Google Scholar 

  29. 29.

    Falagas ME, Pitsouni EI, Malietzis GA, Pappas G. Comparison of pubmed, scopus, web of science, and google scholar: strengths and weaknesses. FASEB J. 2008;22(2):338–42.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Werfalli M, Raubenheimer P, Engel M, Peer N, Kalula S, Kengne AP, Levitt NS. Effectiveness of community-based peer-led diabetes self-management programmes (Comp-Dsmp) for improving clinical outcomes and quality of life of adults with diabetes in primary care settings in low and middle-income countries (Lmic): a systematic review and meta-analysis. BMJ Open. 2015;5(7):e007635.

    PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Teljeur C, Moran PS, Walshe S, Smith SM, Cianci F, Murphy L, Harrington P, Ryan M. Economic evaluation of chronic disease self-management for people with diabetes: a systematic review. Diabetic Med. 2016;34(8):1040–9.

    PubMed  Article  Google Scholar 

  32. 32.

    Ahmad Sharoni SK, Minhat HS, Mohd Zulkefli NA, Baharom A. Health education programmes to improve foot self-care practices and foot problems among older people with diabetes: a systematic review. Int J Older People Nurs. 2016;11(3):214–39.

    PubMed  Article  Google Scholar 

  33. 33.

    Lau Y, Htun TP, Wong SN, Tam WSW, Klainin-Yobas P. Efficacy of internet-based self-monitoring interventions on maternal and neonatal outcomes in perinatal diabetic women: a systematic review and meta-analysis. J Med Internet Res. 2016;18(8):e220.

    PubMed  PubMed Central  Article  Google Scholar 

  34. 34.

    Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: a systematic review of the effect on glycemic control. Patient Educ Couns. 2016;99(6):926–43.

    PubMed  Article  Google Scholar 

  35. 35.

    Cui M, Wu X, Mao J, Wang X, Nie M. T2dm Self-management via smartphone applications: a systematic review and meta-analysis. PLoS ONE. 2016;11(11):e0166718.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  36. 36.

    van Eck NJ, Waltman L: Vosviewer Manual. In: Leiden: Univeristeit Leiden. vol. 1; 2013.

  37. 37.

    Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001;24(6):1069–78.

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Vogl A, Youngwirth SH. The Effects of a single dose of 2000 units of protamine zinc insulin taken by a diabetic patient with suicidal intent. N Engl J Med. 1949;241(16):606–9.

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Ali S, Stone MA, Peters JL, Davies MJ, Khunti K. The prevalence of co-morbid depression in adults with type 2 diabetes: a systematic review and meta-analysis. Diabet Med. 2006;23(11):1165–73.

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Mezuk B, Eaton WW, Albrecht S, Golden SH. Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care. 2008;31(12):2383–90.

    PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Nouwen A, Winkley K, Twisk J, Lloyd CE, Peyrot M, Ismail K, Pouwer F. Type 2 diabetes mellitus as a risk factor for the onset of depression: a systematic review and meta-analysis. Diabetologia. 2010;53(12):2480–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  42. 42.

    Jacobson AM, Samson JA, Weinger K, Ryan CM. Diabetes, the brain, and behavior: is there a biological mechanism underlying the association between diabetes and depression? Int Rev Neurobiol. 2002;51:455–79.

    PubMed  Article  Google Scholar 

  43. 43.

    Musselman DL, Betan E, Larsen H, Phillips LS. Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment. Biol Psychiaty. 2003;54(3):317–29.

    Article  Google Scholar 

  44. 44.

    Black SA. Increased health burden associated with comorbid depression in older diabetic mexican Americans: results from the hispanic established population for the epidemiologic study of the elderly survey. Diabetes Care. 1999;22(1):56–64.

    CAS  PubMed  Article  Google Scholar 

  45. 45.

    Chlebowy DO, Coty MB, Fu L, Hines-Martin V. Comorbid Diabetes and Depression in African Americans: Implications for the Health Care Provider. J Racial Ethnic Health Dispar. 2017;5:1–6.

    Google Scholar 

  46. 46.

    De Groot M, Auslander W, Williams JH, Sherraden M, Haire-Joshu D. Depression and poverty among african american women at risk for type 2 diabetes. Ann Behav Med. 2003;25(3):172–81.

    PubMed  Article  Google Scholar 

  47. 47.

    De Groot M, Lustman PJ. Depression among African-Americans with diabetes: a dearth of studies [2]. Diabetes Care. 2001;24(2):407–8.

    PubMed  Article  Google Scholar 

  48. 48.

    Egede LE. Beliefs and attitudes of african americans with type 2 diabetes toward depression. Diab Educator. 2002;28(2):258–68.

    Article  Google Scholar 

  49. 49.

    Gary TL, Crum RM, Cooper-Patrick L, Ford D, Brancati FL. Depressive symptoms and metabolic control in African-Americans with Type 2 Diabetes. Diabetes Care. 2000;23(1):23–9.

    CAS  PubMed  Article  Google Scholar 

  50. 50.

    Hernandez R, Ruggiero L, Prohaska TR, Chavez N, Boughton SW, Peacock N, Zhao W, Nouwen A. A Cross-Sectional Study of depressive symptoms and diabetes self-care in African Americans and Hispanics/Latinos with diabetes: the role of self-efficacy. Diab Educator. 2016;42(4):452–61.

    Article  Google Scholar 

  51. 51.

    Husaini BA, Hull PC, Sherkat DE, Emerson JS, Overton MT, Craun C, Cain VA, Levine RS. Diabetes, depression, and healthcare utilization among African Americans in primary care. J Natl Med Assoc. 2004;96(4):476–84.

    PubMed  PubMed Central  Google Scholar 

  52. 52.

    Kim MT, Kim KB, Ko J, Jang Y, Levine D, Lee HB. Role of depression in diabetes management in an ethnic minority population: a case of Korean Americans with type 2 diabetes. BMJ Open Diab Res Care. 2017;5(1):e000337.

    PubMed  Article  Google Scholar 

  53. 53.

    Rehman SU, Shakaib A, Rashid S. Regarding depressive symptoms and metabolic control in African-Americans with type 2 diabetes [5] (multiple letters). Diabetes Care. 2000;23(10):1596–7.

    CAS  PubMed  Article  Google Scholar 

  54. 54.

    Shah ZC, Huffman FG. Depression among hispanic women with type 2 diabetes. Ethn Dis. 2005;15(4):685–90.

    PubMed  Google Scholar 

  55. 55.

    Chen PC, Chan YT, Chen HF, Ko MC, Li CY. Population-based cohort analyses of the bidirectional relationship between type 2 diabetes and depression. Diabetes Care. 2013;36(2):376–82.

    PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Golden SH, Lazo M, Carnethon M, Bertoni AG, Schreiner PJ, Diez Roux AV, Lee HB, Lyketsos C. Examining a bidirectional association between depressive symptoms and diabetes. JAMA. 2008;299(23):2751–9.

    PubMed  PubMed Central  Article  Google Scholar 

  57. 57.

    Jaser SS, Holl MG, Jefferson V, Grey M. Correlates of depressive symptoms in urban youth at risk for type 2 diabetes mellitus. J Sch Health. 2009;79(6):286–92.

    PubMed  Article  Google Scholar 

  58. 58.

    Renn BN, Feliciano L, Segal DL. The bidirectional relationship of depression and diabetes: a systematic review. Clin Psychol Rev. 2011;31(8):1239–46.

    PubMed  Article  Google Scholar 

  59. 59.

    Yu M, Zhang X, Lu F, Fang L. Depression and risk for diabetes: a meta-analysis. Can J Diab. 2015;39(4):266–72.

    Article  Google Scholar 

  60. 60.

    Burton C, Simpson C, Anderson N. Diagnosis and treatment of depression following routine screening in patients with coronary heart disease or diabetes: a database cohort study. Psychol Med. 2013;43(3):529–37.

    CAS  PubMed  Article  Google Scholar 

  61. 61.

    Corathers SD, Kichler J, Jones NHY, Houchen A, Jolly M, Morwessel N, Crawford P, Dolan LM, Hood KK. Improving depression screening for adolescents with type 1 diabetes. Pediatrics. 2013;132(5):e1395–402.

    PubMed  Article  Google Scholar 

  62. 62.

    Fleer J, Tovote KA, Keers JC, Links TP, Sanderman R, Coyne JC, Schroevers MJ. Screening for depression and diabetes-related distress in a diabetes outpatient clinic. Diabet Med. 2013;30(1):88–94.

    CAS  PubMed  Article  Google Scholar 

  63. 63.

    Hermanns N, Caputo S, Dzida G, Khunti K, Meneghini LF, Snoek F. Screening, evaluation and management of depression in people with diabetes in primary care. Prim Care Diab. 2013;7(1):1–10.

    Article  Google Scholar 

  64. 64.

    Holt RG, van der Feltz-Cornelis CM. Key concepts in screening for depression in people with diabetes. J Affec Disorders. 2012;142:S72–9.

    Article  Google Scholar 

  65. 65.

    Monaghan M, Singh C, Streisand R, Cogen FR. Screening and identification of children and adolescents at risk for depression during a diabetes clinic visit. Diabetes Spectr. 2010;23(1):25–31.

    Article  Google Scholar 

  66. 66.

    Roy T, Lloyd CE, Pouwer F, Holt RIG, Sartorius N. Screening tools used for measuring depression among people with type 1 and type 2 diabetes: a systematic review. Diab Med. 2012;29(2):164–75.

    CAS  Article  Google Scholar 

  67. 67.

    Silverstein J, Cheng P, Ruedy KJ, Kollman C, Beck RW, Klingensmith GJ, Wood JR, Willi S, Bacha F, Lee J, et al. Depressive symptoms in youth with type 1 or type 2 diabetes: results of the pediatric diabetes consortium screening assessment of depression in diabetes study. Diabetes Care. 2015;38(12):2341–3.

    CAS  PubMed  Article  Google Scholar 

  68. 68.

    Van Steenbergen-Weijenburg KM, De Vroege L, Ploeger RR, Brals JW, Vloedbeld MG, Veneman TF, Hakkaart-Van Roijen L, Rutten FF, Beekman AT, Van Der Feltz-Cornelis CM. Validation of the Phq-9 as a screening instrument for depression in diabetes patients in specialized outpatient clinics. BMC Health Serv Res. 2010;10:235.

    PubMed  PubMed Central  Article  Google Scholar 

  69. 69.

    Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–53.

    PubMed  Article  Google Scholar 

  70. 70.

    Whiting DR, Guariguata L, Weil C, Shaw J. Idf diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94(3):311–21.

    PubMed  Article  Google Scholar 

  71. 71.

    Kaveeshwar SA, Cornwall J. The current state of diabetes mellitus in India. Australas Med J. 2014;7(1):45.

    PubMed  PubMed Central  Article  Google Scholar 

  72. 72.

    De Lusignan S. Bibliometric analysis of primary care research, childhood obesity, the importance of understanding small area data and diabetes. Inform Prim Care. 2011;18(4):217–8.

    Google Scholar 

  73. 73.

    Caglar C, Demir E, Kucukler FK, Durmus M. A bibliometric analysis of academic publication on diabetic retinopathy disease trends during 1980–2014: a global and medical view. Int J Ophthalmol. 2016;9(11):1663–8.

    PubMed  PubMed Central  Google Scholar 

  74. 74.

    Nolan CK, Spiess KE, Meyr AJ. Where art thou diabetic foot disease literature? A bibliometric inquiry into publication patterns. J Foot Ankle Surg. 2015;54(3):295–7.

    PubMed  Article  Google Scholar 

  75. 75.

    Razzouk D, Sharan P, Gallo C, Gureje O, Lamberte EE, de Jesus Mari J, Mazzotti G, Patel V, Swartz L, Olifson S. Scarcity and inequity of mental health research resources in low-and-middle income countries: a global survey. Health Policy. 2010;94(3):211–20.

    PubMed  Article  Google Scholar 

  76. 76.

    Siriwardhana C, Sumathipala A, Siribaddana S, Samaraweera S, Abeysinghe N, Prince M, Hotopf M. Reducing the scarcity in mental health research from low and middle income countries: a success story from Sri Lanka. Int Rev Psychiatry. 2011;23(1):77–83.

    PubMed  Article  Google Scholar 

  77. 77.

    Lund C. Poverty, inequality and mental health in low-and middle-income countries: time to expand the research and policy agendas. Epidemiol Psychiatr Sci. 2015;24(2):97.

    PubMed  Article  Google Scholar 

  78. 78.

    Coelho CR, Zantut-Wittmann DE, Parisi MCR. A cross-sectional study of depression and self-care in patients with type 2 diabetes with and without foot ulcers. Ostomy Wound Manag. 2014;60(2):46–51.

    Google Scholar 

  79. 79.

    Gaitonde P, Shaya FT. Relationship between depression, self-care behaviors, and treatment success among older medicare beneficiaries with type 2 diabetes. J Pharm Health Serv Res. 2016;7(4):241–5.

    Article  Google Scholar 

  80. 80.

    Kokoszka A. Treatment adherence in patients with type 2 diabetes mellitus correlates with different coping styles, low perception of self-influence on disease, and depressive symptoms. Patient Preference Adherence. 2017;11:587–95.

    PubMed  Article  Google Scholar 

  81. 81.

    Matsunaga S, Tanaka S, Fujihara K, Horikawa C, Iimuro S, Kitaoka M, Sato A, Nakamura J, Haneda M, Shimano H, et al. Association between all-cause mortality and severity of depressive symptoms in patients with type 2 diabetes: analysis from the japan diabetes complications study (jdcs). J Psychosom Res. 2017;99:34–9.

    PubMed  Article  Google Scholar 

  82. 82.

    Rees G, Xie J, Fenwick EK, Sturrock BA, Finger R, Rogers SL, Lim L, Lamoureux EL. Association between diabetes-related eye complications and symptoms of anxiety and depression. JAMA Ophthalmol. 2016;134(9):1007–14.

    PubMed  Article  Google Scholar 

  83. 83.

    Shin N, Hill-Briggs F, Langan S, Payne JL, Lyketsos C, Golden SH. The association of minor and major depression with health problem-solving and diabetes self-care activities in a clinic-based population of adults with type 2 diabetes mellitus. J Diabetes Complications. 2017;31(5):880–5.

    PubMed  Article  Google Scholar 

  84. 84.

    Sumlin LL, Garcia TJ, Brown SA, Winter MA, García AA, Brown A, Cuevas HE. Depression and adherence to lifestyle changes in type 2 diabetes: a systematic review. Diab Educator. 2014;40(6):731–44.

    Article  Google Scholar 

  85. 85.

    Egede LE. Effect of depression on self-management behaviors and health outcomes in adults with type 2 diabetes. Curr Diab Rev. 2005;1(3):235–43.

    Article  Google Scholar 

  86. 86.

    Sweileh WM, Wickramage K, Pottie K, Hui C, Roberts B, Sawalha AF, Zyoud SH. Bibliometric analysis of global migration health research in peer-reviewed literature (2000–2016). BMC Public Health. 2018;18(1):777.

    PubMed  PubMed Central  Article  Google Scholar 

  87. 87.

    Sweileh WM. Bibliometric analysis of literature in aids-related stigma and discrimination. Transl Behav Med. 2018. https://doi.org/10.1093/tbm/iby072.

    Article  PubMed  Google Scholar 

  88. 88.

    Sweileh WM. Bibliometric analysis of medicine—related publications on refugees, asylum-seekers, and internally displaced people: 2000–2015. BMC Int Health Hum Rights. 2017;17(1):7.

    PubMed  PubMed Central  Article  Google Scholar 

  89. 89.

    Sweileh WM. Bibliometric analysis of peer-reviewed literature in transgender health (1900–2017). BMC Int Health Hum Rights. 2018;18(1):16.

    PubMed  PubMed Central  Article  Google Scholar 

  90. 90.

    Sweileh WM. Global output of research on epidermal parasitic skin diseases from 1967 to 2017. Infect Dis Poverty. 2018;7(1):74.

    PubMed  PubMed Central  Article  Google Scholar 

  91. 91.

    Sweileh WM. Global research output in the health of international arab migrants (1988–2017). BMC Public Health. 2018;18(1):755.

    PubMed  PubMed Central  Article  Google Scholar 

  92. 92.

    Sweileh WM. Global research trends of World Health Organization’s top eight emerging pathogens. Global Health. 2017;13(1):9.

    PubMed  PubMed Central  Article  Google Scholar 

  93. 93.

    World Health Organization (WHO). Diabetes Country Profile. http://www.who.int/diabetes/country-profiles/en/. Accessed 29 Jan 2018.

  94. 94.

    World Health Rankings: Diabets mellitus death rate per 100,000 age standardized. 2016.

  95. 95.

    Lustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE. Depression and poor glycemic control: a meta-analytic review of the literature. Diabetes Care. 2000;23(7):934–42.

    CAS  PubMed  Article  Google Scholar 

  96. 96.

    de Groot M, Anderson R, Freedland KE, Clouse RE, Lustman PJ. Association of depression and diabetes complications: a meta-analysis. Psychosom Med. 2001;63(4):619–30.

    PubMed  Article  Google Scholar 

  97. 97.

    Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160(21):3278–85.

    CAS  PubMed  Article  Google Scholar 

  98. 98.

    Lin EH, Katon W, Von Korff M, Rutter C, Simon GE, Oliver M, Ciechanowski P, Ludman EJ, Bush T, Young B. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care. 2004;27(9):2154–60.

    PubMed  Article  Google Scholar 

  99. 99.

    Gavard JA, Lustman PJ, Clouse RE. Prevalence of depression in adults with diabetes: an epidemiological evaluation. Diabetes Care. 1993;16(8):1167–78.

    CAS  PubMed  Article  Google Scholar 

  100. 100.

    Katon WJ, Von Korff M, Lin EH, Simon G, Ludman E, Russo J, Ciechanowski P, Walker E, Bush T. The pathways study: a randomized trial of collaborative care in patients with diabetes and depression. Arch Gen Psychiatry. 2004;61(10):1042–9.

    PubMed  PubMed Central  Article  Google Scholar 

  101. 101.

    Knol MJ, Twisk JW, Beekman AT, Heine RJ, Snoek FJ, Pouwer F. Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis. Diabetologia. 2006;49(5):837–45.

    CAS  PubMed  Article  Google Scholar 

  102. 102.

    Golden SH, Lazo M, Carnethon M, Bertoni AG, Schreiner PJ, Diez Roux AV, Lee HB, Lyketsos C. Examining a bidirectional association between depressive symptoms and diabetes. JAMA. 2008;299(23):2751–9.

    PubMed  PubMed Central  Article  Google Scholar 

  103. 103.

    Egede LE, Zheng D, Simpson K. Comorbid depression is associated with increased health care use and expenditures in individuals with diabetes. Diabetes Care. 2002;25(3):464–70.

    PubMed  Article  Google Scholar 

  104. 104.

    Eaton WW, Armenian H, Gallo J, Pratt L, Ford DE. Depression and risk for onset of type ii diabetes. A prospective population-based study. Diabetes Care. 1996;19(10):1097–102.

    CAS  PubMed  Article  Google Scholar 

  105. 105.

    Musselman DL, Betan E, Larsen H, Phillips LS. Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment. Biol Psychiatry. 2003;54(3):317–29.

    PubMed  Article  Google Scholar 

  106. 106.

    Lustman PJ, Griffith LS, Freedland KE, Kissel SS, Clouse RE. Cognitive behavior therapy for depression in type 2 diabetes mellitus. A randomized, controlled trial. Ann Intern Med. 1998;129(8):613–21.

    CAS  PubMed  Article  Google Scholar 

  107. 107.

    Katon WJ, Rutter C, Simon G, Lin EH, Ludman E, Ciechanowski P, Kinder L, Young B, Von Korff M. The association of comorbid depression with mortality in patients with type 2 diabetes. Diabetes Care. 2005;28(11):2668–72.

    PubMed  Article  Google Scholar 

  108. 108.

    Gonzalez JS, Peyrot M, McCarl LA, Collins EM, Serpa L, Mimiaga MJ, Safren SA. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care. 2008;31(12):2398–403.

    PubMed  PubMed Central  Article  Google Scholar 

  109. 109.

    Black SA, Markides KS, Ray LA. Depression predicts increased incidence of adverse health outcomes in older Mexican Americans with type 2 diabetes. Diabetes Care. 2003;26(10):2822–8.

    PubMed  Article  Google Scholar 

  110. 110.

    Peyrot M, Rubin RR. Levels and Risks of Depression and Anxiety Symptomatology among Diabetic Adults. Diabetes Care. 1997;20(4):585–90.

    CAS  PubMed  Article  Google Scholar 

  111. 111.

    Goldney RD, Phillips PJ, Fisher LJ, Wilson DH. Diabetes, depression, and quality of life: a population study. Diabetes Care. 2004;27(5):1066–70.

    PubMed  Article  Google Scholar 

Download references

Author contributions

WS: concept, data extraction, analysis and presentation, manuscript preparation, and manuscript submission and follow-up. The author read and approved the final manuscript.

Acknowledgements

None.

Competing interests

The author declares no competing interests.

Availability of data and materials

All data present in this article can be retrieved from Scopus using keywords listed in the methodology.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

None.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Affiliations

  1. Department of Physiology and Pharmacology/Toxicology, College of Medicine and Health Sciences, Nablus, Palestine

    Waleed M. Sweileh

Authors
  1. Waleed M. Sweileh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Waleed M. Sweileh.

Additional file

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Sweileh, W.M. Analysis of global research output on diabetes depression and suicide. Ann Gen Psychiatry 17, 44 (2018). https://doi.org/10.1186/s12991-018-0214-2

Download citation

Keywords

  • Diabetes mellitus
  • Depression
  • Suicide
  • Research output
  • Bibliometric analysis

Annals of General Psychiatry

ISSN: 1744-859X