Bibliometric Analysis of HIV and Exercise Literature Based on Scientific Studies from 1990-2020
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Abstract
Background: Exercise is believed to play an important role in maintaining functionality in patients with HIV and it is thought that researchers are increasingly interested in this field. We aimed to shed light on the historical development of research on HIV and exercise by utilizing visual mapping method.
Methods: Overall, 1051 articles retrieved from Web of Science (WoS) core database were analyzed according to the publication year and language, number of issues, citation, country collaborations, co-citation networks and concept–topic trends by using CiteSpace software.
Results: The United States played a key role in country collaborations, and had the highest citation burst. The most cited studies were meta-analysis studies. The studies gathered mainly around the clusters named “physical activity” and “metabolic abnormalities” meanwhile, the recent topics of research were heart failure, metabolism, comorbidity, Ethiopia, muscle, cardiovascular event and drug user.
Conclusion: The reason why USA was found to be one of the key actors in the network is supposed to be the financial resources it can allocate for the studies conducted. It appears that the majority of the studies in the field dwell upon the impact of exercise on the physical parameters in HIV patients, whereas there are only a limited number of studies focusing on the impact of exercise on HIV-induced psychological and cognitive problems. Recent studies on neurocognitive impairment, on the other hand, are predictive of possible future popularity of such topics among researchers.
1. DelRio C, Curran JW, Baden LR, et al (2020). Epidemiology and prevention of AIDS and HIV infection, including preexposure prophylaxis and HIV vac-cine development. In: Mandell, Douglas, and Bennett’s Principles and Pratice of Infections Dis-eases. Eds, EJ Bennett, R Dolin, MJ Blaser. 9th ed. New York: Churchill Liv-ingstone, pp. 1599-618.
2. Vella S, Schwartländer B, Sow SP, et al (2012). The history of antiretroviral ther-apy and of its implementation in re-source-limited areas of the world. AIDS, 26(10): 1231-41.
3. Masoumi-Asl H, Khanaliha K, Bokharaei-Salim F, et al (2019). Enteric opportunistic infection and the impact of antiretroviral therapy among hiv/aids patients from Tehran, Iran. Iran J Public Health, 48(4): 730-9.
4. Sarıgül F, Üser Ü, Öztoprak N (2019). Comparison of immunological and viro-logical recovery of raltegravir, elvitegravir and dolutegravir in HIV-1 infected naive patients. Acta Medica Mediterranea, 35(6): 3077-84.
5. Todowede OO, Mianda SZ, Sartorius B (2019). Prevalence of metabolic syndrome among HIV-positive and HIV-negative populations in sub-Saharan Africa-a sys-tematic review and meta-analysis. Syst Rev, 8(1): 4.
6. Yıldırım FS, Balkarli A (2019). Assessment of microcirculation in HIV-positive pa-tients with a noninvasive method: Nail-fold videocapillaroscopy. AIDS Res Hum Retroviruses, 36(1): 8-12.
7. Yu B, Pasipanodya E, Montoya JL, et al (2019). Metabolic syndrome and neuro-cognitive deficits in HIV infection. J Ac-quir Immune Defic Syndr, 81(1): 95-101.
8. Zanuzzi MG, Cattaneo MJ, López SM, et al (2020). [Hypertension and metabolic syn-drome in HIV infected patients]. Medicina (B Aires), 80(5): 453-61.
9. Noubissi EC, Katte JC, Sobngwi E (2018). Diabetes and HIV. Curr Diab Rep, 18(11): 125.
10. da Cunha GH, Franco KB, Galvão MTG, et al (2020). Diabetes mellitus in people liv-ing with HIV/AIDS: Prevalence and as-sociated risk factors. AIDS Care, 32(5): 600-7.
11. Yıldırım F (2020). Frequency of non-alcoholic fatty liver disease and related risk factors in HIV/AIDS patients. 37th National Gastroenterology Week and 8th Gastroenterology Surgery Congress-Onine Congress. 2020 Nov 25-29; Gas-troenterology Surgery Association.
12. Lagathu C, Béréziat V, Gorwood J, et al (2019). Metabolic complications affecting adipose tissue, lipid and glucose metabo-lism associated with HIV antiretroviral treatment. Expert Opin Drug Saf, 18(9): 829-40.
13. Negredo E, Back D, Blanco JR, et al (2017). Aging in HIV-infected subjects: A new scenario and a new view review. Biomed Res Int, 2017: 5897298.
14. Montoya JL, Jankowski CM, O'Brien KK, et al (2019). Evidence-informed practical recommendations for increasing physical activity among persons living with HIV. AIDS, 33(6): 931-9.
15. Turner JE, Brum PC (2017). Does regular exercise counter T Cell Immunosenes-cence reducing the risk of developing cancer and promoting successful treat-ment of Malignancies? Oxid Med Cell Lon-gev, 2017: 4234765.
16. Simpson RJ, Kunz H, Agha N, et al (2015). Exercise and the regulation of immune functions. Prog Mol Biol Transl Sci, 135: 355-80.
17. U.S. Department of Health and Human Ser-vices. (2018). Physical activity guidelines for Americans [Internet]. 2nd ed. Wash-ington, DC: U.S. Department of Health & Human Services. [updated 2021 Feb 25; cited 2018]. Available from: https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf
18. Bull FC, Al-Ansari SS, Biddle S, et al (2020). World Health Organization 2020 guide-lines on physical activity and sedentary behaviour. Br J Sports Med, 54(24): 1451-62.
19. Chen CC, Fu X, Chang CY (2017). A terms mining and clustering technique for sur-veying network and content analysis of academic groups exploration. Cluster Com-puting, 20: 43-52.
20. Koseoglu MA (2016). Growth and structure of authorship and co-authorship network in the strategic management realm: Evi-dence from the strategic management journal. BRQ Business Research Quarterly, 19(3): 153-70.
21. Broadus RN (1987). Early approaches to bibliometrics. Journal of the American Society for Information Science, 38: 127-9.
22. Osareh F (1996). Bibliometrics, citation anal-ysis and co-citation analysis: A review. Libri, 46(3): 149-58.
23. Chen C (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57, 359-77.
24. Newman ME (2004). Fast algorithm for de-tecting community structure in networks. Phys Rev, E69(6): 1-5.
25. Al U, Doğan G (2012). Citiation analysis of dissertations completed at Hacettepe uni-versity department of information man-agement. Türk Kütüphaneciliği, 26(2): 349-69.
26. Chen C, Ibekwe‐SanJuan F, Hou J (2010). The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis. Journal of the American Society for In-formation Science and Technology, 61: 1386-1409.
27. Li X, Ma E, Qu H (2017). Knowledge map-ping of hospitality research-A visual anal-ysis using CiteSpace. International Journal of Hospitality Management, 60: 77-93.
28. Simovici D (2007). Data mining algorithms I: Clustering. In: Handbook of Applied Algo-rithms. Eds, N Amiya, S Ivan. Wiley-IEEE Press, pp. 177-218.
29. Zhang SJ, Lyu PH, Yan Y (2015). Global geographical and scientometric analysis of tourism-themed research. Scientometrics, 105: 385-401.
30. Vos T, Allen C, Arora M, et al (2016). Glob-al, regional, and national incidence, preva-lence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388(10053): 1545-602.
31. Burke BL, Arkowitz H, Menchola M (2003). The efficacy of motivational interviewing: A meta-analysis of controlled clinical tri-als. J Consult Clin Psychol, 71(5): 843-61.
32. DiClemente RJ, Wingood GM, Harrington KF, et al (2004). Efficacy of an HIV pre-vention intervention for African Ameri-can adolescent girls - A randomized con-trolled trial. JAMA, 292(2): 171-9.
33. Jewkes R, Morrell R (2010). Gender and sexuality: Emerging perspectives from the heterosexual epidemic in South Africa and implications for HIV risk and pre-vention. J Int AIDS Soc, 13: 6.
34. O'Brien KK, Tynan AM, Nixon SA, et al (2016). Effectiveness of aerobic exercise for adults living with HIV: Systematic re-view and meta-analysis using the Cochrane Collaboration protocol. BMC Infectious Diseases, 16: 182.
35. Carr A, Samaras K, Burton S, et al (1998).A Syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibi-tors. AIDS, 12(7): F51-8.
36. Gomes-Neto M, Conceição CS, Carvalho VO, et al (2013). Systematic review of the effects of different types of therapeutic exercise on physiologic and functional measurements in patients with HIV/AIDS. Clinics (Sao Paulo), 68(8): 1157-67.
37. O'Brien K, Nixon S, Tynan AM, et al (2010). Aerobic exercise interventions for adults living with HIV/AIDS. Cochrane Database Syst Rev, 2010(8): CD001796.
38. Rigsby LW, Dishman RK, Jackson AW, et al (1992). Effects of exercise training on men seropositive for the human immu-nodeficiency virus-1. Med Sci Sports Exerc, 24(1): 6-12.
39. The Joint United Nations Programme on HIV/AIDS (2019). The gap report Ge-neva. Geneva: UNAIDS. [updated 2021 Feb 25; cited 2019]. Available from: https://www.unaids.org/sites/default/files/media_asset/2019-UNAIDS-data_en.pdf
40. Duncan AD, Goff LM, Peters BS (2018). Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study. PLoS One, 13(3): e0194199.
41. Hsue PY, Waters DD (2019). HIV infection and coronary heart disease: Mechanisms and management. Nat Rev Cardiol, 16(12): 745-59.
42. Moradi G, Mohraz M, Gouya MM, et al (2014). Health needs of people living with hiv/aids: from the perspective of policy makers, physicians and consultants, and people living with HIV/AIDS. Iran J Pub-lic Health, 43(10): 1424-35.
43. Nosrat S, Whitworth JW, Ciccolo JT (2017). Exercise and mental health of people liv-ing with HIV: A systematic review. Chronic Illn, 13(4): 299-319.
44. Kaur N, Aubertin-Leheudre M, Fellows LK, et al (2021). Feasibility and potential bene-fits of a structured exercise program on cognitive performance in HIV. AIDS Care, 1-9.
45. Abd El-Kader SM, Al-Jiffri OH (2016). Ex-ercise alleviates depression related sys-temic inflammation in chronic obstructive pulmonary disease patients. Afr Health Sci, 16(4): 1078-88.
46. Wipfli B, Landers D, Nagoshi C, et al (2011). An examination of serotonin and psychological variables in the relationship between exercise and mental health. Scand J Med Sci Sports, 21(3): 474-81.
47. Mandolesi L, Polverino A, Montuori S, et al (2018). Effects of physical exercise on cognitive functioning and wellbeing: Bio-logical and psychological benefits. Front Psychol, 9:509.
48. Formenti D, Cavaggioni L, Duca M, et al (2020). Acute Effect of exercise on cogni-tive performance in middle-aged adults: Aerobic versus balance. J Phys Act Health, 1-8.
49. Rousseeuw PJ (1987). Silhouettes: A graph-ical aid to the interpretation and valida-tion of cluster analysis. Journal of Computa-tional and Applied Mathematics, 20(1): 53-65.
50. World Health Organization (2019). South Africa HIV country profile 2019. [updat-ed 2021 May 25; cited 2019]. Available from: https://cfs.hivci.org/country-factsheet.html
2. Vella S, Schwartländer B, Sow SP, et al (2012). The history of antiretroviral ther-apy and of its implementation in re-source-limited areas of the world. AIDS, 26(10): 1231-41.
3. Masoumi-Asl H, Khanaliha K, Bokharaei-Salim F, et al (2019). Enteric opportunistic infection and the impact of antiretroviral therapy among hiv/aids patients from Tehran, Iran. Iran J Public Health, 48(4): 730-9.
4. Sarıgül F, Üser Ü, Öztoprak N (2019). Comparison of immunological and viro-logical recovery of raltegravir, elvitegravir and dolutegravir in HIV-1 infected naive patients. Acta Medica Mediterranea, 35(6): 3077-84.
5. Todowede OO, Mianda SZ, Sartorius B (2019). Prevalence of metabolic syndrome among HIV-positive and HIV-negative populations in sub-Saharan Africa-a sys-tematic review and meta-analysis. Syst Rev, 8(1): 4.
6. Yıldırım FS, Balkarli A (2019). Assessment of microcirculation in HIV-positive pa-tients with a noninvasive method: Nail-fold videocapillaroscopy. AIDS Res Hum Retroviruses, 36(1): 8-12.
7. Yu B, Pasipanodya E, Montoya JL, et al (2019). Metabolic syndrome and neuro-cognitive deficits in HIV infection. J Ac-quir Immune Defic Syndr, 81(1): 95-101.
8. Zanuzzi MG, Cattaneo MJ, López SM, et al (2020). [Hypertension and metabolic syn-drome in HIV infected patients]. Medicina (B Aires), 80(5): 453-61.
9. Noubissi EC, Katte JC, Sobngwi E (2018). Diabetes and HIV. Curr Diab Rep, 18(11): 125.
10. da Cunha GH, Franco KB, Galvão MTG, et al (2020). Diabetes mellitus in people liv-ing with HIV/AIDS: Prevalence and as-sociated risk factors. AIDS Care, 32(5): 600-7.
11. Yıldırım F (2020). Frequency of non-alcoholic fatty liver disease and related risk factors in HIV/AIDS patients. 37th National Gastroenterology Week and 8th Gastroenterology Surgery Congress-Onine Congress. 2020 Nov 25-29; Gas-troenterology Surgery Association.
12. Lagathu C, Béréziat V, Gorwood J, et al (2019). Metabolic complications affecting adipose tissue, lipid and glucose metabo-lism associated with HIV antiretroviral treatment. Expert Opin Drug Saf, 18(9): 829-40.
13. Negredo E, Back D, Blanco JR, et al (2017). Aging in HIV-infected subjects: A new scenario and a new view review. Biomed Res Int, 2017: 5897298.
14. Montoya JL, Jankowski CM, O'Brien KK, et al (2019). Evidence-informed practical recommendations for increasing physical activity among persons living with HIV. AIDS, 33(6): 931-9.
15. Turner JE, Brum PC (2017). Does regular exercise counter T Cell Immunosenes-cence reducing the risk of developing cancer and promoting successful treat-ment of Malignancies? Oxid Med Cell Lon-gev, 2017: 4234765.
16. Simpson RJ, Kunz H, Agha N, et al (2015). Exercise and the regulation of immune functions. Prog Mol Biol Transl Sci, 135: 355-80.
17. U.S. Department of Health and Human Ser-vices. (2018). Physical activity guidelines for Americans [Internet]. 2nd ed. Wash-ington, DC: U.S. Department of Health & Human Services. [updated 2021 Feb 25; cited 2018]. Available from: https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf
18. Bull FC, Al-Ansari SS, Biddle S, et al (2020). World Health Organization 2020 guide-lines on physical activity and sedentary behaviour. Br J Sports Med, 54(24): 1451-62.
19. Chen CC, Fu X, Chang CY (2017). A terms mining and clustering technique for sur-veying network and content analysis of academic groups exploration. Cluster Com-puting, 20: 43-52.
20. Koseoglu MA (2016). Growth and structure of authorship and co-authorship network in the strategic management realm: Evi-dence from the strategic management journal. BRQ Business Research Quarterly, 19(3): 153-70.
21. Broadus RN (1987). Early approaches to bibliometrics. Journal of the American Society for Information Science, 38: 127-9.
22. Osareh F (1996). Bibliometrics, citation anal-ysis and co-citation analysis: A review. Libri, 46(3): 149-58.
23. Chen C (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57, 359-77.
24. Newman ME (2004). Fast algorithm for de-tecting community structure in networks. Phys Rev, E69(6): 1-5.
25. Al U, Doğan G (2012). Citiation analysis of dissertations completed at Hacettepe uni-versity department of information man-agement. Türk Kütüphaneciliği, 26(2): 349-69.
26. Chen C, Ibekwe‐SanJuan F, Hou J (2010). The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis. Journal of the American Society for In-formation Science and Technology, 61: 1386-1409.
27. Li X, Ma E, Qu H (2017). Knowledge map-ping of hospitality research-A visual anal-ysis using CiteSpace. International Journal of Hospitality Management, 60: 77-93.
28. Simovici D (2007). Data mining algorithms I: Clustering. In: Handbook of Applied Algo-rithms. Eds, N Amiya, S Ivan. Wiley-IEEE Press, pp. 177-218.
29. Zhang SJ, Lyu PH, Yan Y (2015). Global geographical and scientometric analysis of tourism-themed research. Scientometrics, 105: 385-401.
30. Vos T, Allen C, Arora M, et al (2016). Glob-al, regional, and national incidence, preva-lence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388(10053): 1545-602.
31. Burke BL, Arkowitz H, Menchola M (2003). The efficacy of motivational interviewing: A meta-analysis of controlled clinical tri-als. J Consult Clin Psychol, 71(5): 843-61.
32. DiClemente RJ, Wingood GM, Harrington KF, et al (2004). Efficacy of an HIV pre-vention intervention for African Ameri-can adolescent girls - A randomized con-trolled trial. JAMA, 292(2): 171-9.
33. Jewkes R, Morrell R (2010). Gender and sexuality: Emerging perspectives from the heterosexual epidemic in South Africa and implications for HIV risk and pre-vention. J Int AIDS Soc, 13: 6.
34. O'Brien KK, Tynan AM, Nixon SA, et al (2016). Effectiveness of aerobic exercise for adults living with HIV: Systematic re-view and meta-analysis using the Cochrane Collaboration protocol. BMC Infectious Diseases, 16: 182.
35. Carr A, Samaras K, Burton S, et al (1998).A Syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibi-tors. AIDS, 12(7): F51-8.
36. Gomes-Neto M, Conceição CS, Carvalho VO, et al (2013). Systematic review of the effects of different types of therapeutic exercise on physiologic and functional measurements in patients with HIV/AIDS. Clinics (Sao Paulo), 68(8): 1157-67.
37. O'Brien K, Nixon S, Tynan AM, et al (2010). Aerobic exercise interventions for adults living with HIV/AIDS. Cochrane Database Syst Rev, 2010(8): CD001796.
38. Rigsby LW, Dishman RK, Jackson AW, et al (1992). Effects of exercise training on men seropositive for the human immu-nodeficiency virus-1. Med Sci Sports Exerc, 24(1): 6-12.
39. The Joint United Nations Programme on HIV/AIDS (2019). The gap report Ge-neva. Geneva: UNAIDS. [updated 2021 Feb 25; cited 2019]. Available from: https://www.unaids.org/sites/default/files/media_asset/2019-UNAIDS-data_en.pdf
40. Duncan AD, Goff LM, Peters BS (2018). Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study. PLoS One, 13(3): e0194199.
41. Hsue PY, Waters DD (2019). HIV infection and coronary heart disease: Mechanisms and management. Nat Rev Cardiol, 16(12): 745-59.
42. Moradi G, Mohraz M, Gouya MM, et al (2014). Health needs of people living with hiv/aids: from the perspective of policy makers, physicians and consultants, and people living with HIV/AIDS. Iran J Pub-lic Health, 43(10): 1424-35.
43. Nosrat S, Whitworth JW, Ciccolo JT (2017). Exercise and mental health of people liv-ing with HIV: A systematic review. Chronic Illn, 13(4): 299-319.
44. Kaur N, Aubertin-Leheudre M, Fellows LK, et al (2021). Feasibility and potential bene-fits of a structured exercise program on cognitive performance in HIV. AIDS Care, 1-9.
45. Abd El-Kader SM, Al-Jiffri OH (2016). Ex-ercise alleviates depression related sys-temic inflammation in chronic obstructive pulmonary disease patients. Afr Health Sci, 16(4): 1078-88.
46. Wipfli B, Landers D, Nagoshi C, et al (2011). An examination of serotonin and psychological variables in the relationship between exercise and mental health. Scand J Med Sci Sports, 21(3): 474-81.
47. Mandolesi L, Polverino A, Montuori S, et al (2018). Effects of physical exercise on cognitive functioning and wellbeing: Bio-logical and psychological benefits. Front Psychol, 9:509.
48. Formenti D, Cavaggioni L, Duca M, et al (2020). Acute Effect of exercise on cogni-tive performance in middle-aged adults: Aerobic versus balance. J Phys Act Health, 1-8.
49. Rousseeuw PJ (1987). Silhouettes: A graph-ical aid to the interpretation and valida-tion of cluster analysis. Journal of Computa-tional and Applied Mathematics, 20(1): 53-65.
50. World Health Organization (2019). South Africa HIV country profile 2019. [updat-ed 2021 May 25; cited 2019]. Available from: https://cfs.hivci.org/country-factsheet.html
| Files | ||
| Issue | Vol 50 No 12 (2021) | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v50i12.7923 | |
| Keywords | ||
| Bibliometric Social network analysis Exercise | ||
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How to Cite
1.
Köse E, Seyman D, Sarıgül Yıldırım F, Yerlisu Lapa T, Tercan Kaas E. Bibliometric Analysis of HIV and Exercise Literature Based on Scientific Studies from 1990-2020. Iran J Public Health. 2021;50(12):2397-2410.
