The relation between Internet and social media use and the demographic and clinical parameters, quality of life, depression, cognitive function and sleep quality in hemodialysis patients
Abstract
Objective There are very few studies in the literature investigating the Internet use in hemodialysis (HD) patients. However, no study examined the relationship between Internet and social media use and quality of life, depression, cognitive function and sleep problems in HD patients.Methods The study is cross-sectional in design. All patients underwent history taking; physical examination; laboratory analysis and quality of life (by a short form of the Medical Outcomes Study), depression (by the Beck Depression Inventory), cognitive function (by the Standardized Mini Mental State Examination) and sleep problems (by the Pittsburgh Sleep Quality Index) evaluation.Results In total, 134 HD patients (male/female: 73/61, age: 53.0 ± 13.4 years) were included. Patients with mail, Facebook and Twitter accounts were younger, were less depressive, had better quality of life, had higher cognitive function and were more educated compared to patients who did not have these accounts. Patients with Internet-based research about their disease were less depressive, had better quality of life and sleep quality, had higher cognitive function and were more educated compared to patients who did not have Internet-based research.Conclusion Internet and social media use was closely related with quality of life, depression, cognitive function and education in HD patients. Studies are needed on whether Internet use under the supervision of health care professionals will improve clinical outcomes, adherence, quality of life, depression and decision making in HD patients.
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Four reviewed studies (13%) found no significant correlations between online social networking and symptoms of depression.
“Thirteen percent (n = 4) found no significant correlations between online social networking and symptoms of depression.10,20,24,38”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [20]
Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032 · see citing works
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234 · see citing works
(1992) · PubMed · Cited by 33,716 · see citing works
The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual Framework and Item Selection
Ware, J. E., & Sherbourne, C. D. (1992) · Medical Care · doi:10.1097/00005650-199206000-00002 · Cited by 30,033 · see citing works
Consumer health information seeking on the internet: the state of the art
Cline, R. J. W. (2001) · Health Education Research · doi:10.1093/her/16.6.671 · Cited by 1,708 · see citing works
Doctor in the house: the Internet as a source of lay health knowledge and the challenge to expertise
Hardey, M. (1999) · Sociology of Health & Illness · doi:10.1111/1467-9566.00185 · Cited by 522 · see citing works
A Guide to the Standardized Mini-Mental State Examination
Molloy, D. W., & Standish, T. I. M. (1997) · International Psychogeriatrics · doi:10.1017/s1041610297004754 · Cited by 505 · see citing works
Robinson, T. N. (1998) · JAMA · doi:10.1001/jama.280.14.1264 · Cited by 311 · see citing works
Iverson, S. A., Howard, K., & Penney, B. K. (2008) · PubMed · Cited by 274 · see citing works
Johansen, K. L., Painter, P., Kent‐Braun, J. A., Ng, A. V., Carey, S., Silva, M. D., & Chertow, G. M. (2001) · Kidney International · doi:10.1046/j.1523-1755.2001.0590031121.x · Cited by 263 · see citing works
Illness and Internet Empowerment: Writing and Reading Breast Cancer in Cyberspace
Pitts, V. L. (2004) · Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · doi:10.1177/1363459304038794 · Cited by 231 · see citing works
Devins, G. M., Mendelssohn, D. C., Barré, P. E., & Binik, Y. M. (2003) · American Journal of Kidney Diseases · doi:10.1016/s0272-6386(03)00835-7 · Cited by 213 · see citing works
Prevention of chronic kidney disease: a global challenge.
Bello, A., Nwankwo, E., & el Nahas, A. (2005) · Kidney international. Supplement · doi:10.1111/j.1523-1755.2005.09802.x · Cited by 207 · see citing works
Binik, Y. M., Devins, G. M., Barré, P. E., et al. (1993) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199306000-00006 · Cited by 112 · see citing works
A survey of patient satisfaction and use of the internet for health information
Ayantunde, A. A., Welch, N. T., & Parsons, S. L. (2007) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2006.01094.x · Cited by 83 · see citing works
Consumer-driven, patient-centered health care in the age of electronic information.
Calabretta, N. (2002) · PubMed · Cited by 82 · see citing works
Neuropsychiatric complications of chronic kidney disease
McQuillan, R., & Jassal, S. V. (2010) · Nature Reviews Nephrology · doi:10.1038/nrneph.2010.83 · Cited by 80 · see citing works
Lejbkowicz, I., Paperna, T., Stein, N., Dishon, S., & Miller, A. (2010) · Multiple Sclerosis International · doi:10.1155/2010/640749 · Cited by 73 · see citing works
Adherence, depression and quality of life in patients on a renal transplantation waiting list
Akman, B., Uyar, M., Afşar, B., et al. (2007) · Transplant International · doi:10.1111/j.1432-2277.2007.00495.x · Cited by 72 · see citing works
DiasNet—a diabetes advisory system for communication and education via the internet
Plougmann, S., Hejlesen, O. K., & Cavan, D. A. (2001) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(01)00214-3 · Cited by 54 · see citing works
Chan, R., Brooks, R., Erlich, J., Chow, J. S. F., & SURANYI, M. G. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.01520308 · Cited by 49 · see citing works
Neurocognitive Profile of an Adult Sample With Chronic Kidney Disease
Sánchez-Román, S., Ostrosky‐Solís, F., Morales-Buenrostro, L. E., Nogués-Vizcaíno, M. G., Alberú, J., & McClintock, S. M. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710001219 · Cited by 43 · see citing works
Huffman, J. C., Doughty, C. T., Januzzi, J. L., Pirl, W. F., Smith, F. A., & Fricchione, G. L. (2010) · The International Journal of Psychiatry in Medicine · doi:10.2190/pm.40.2.e · Cited by 42 · see citing works
In-Center Hemodialysis Patients’ Use of the Internet in the United States: A National Survey
Schatell, D., Wise, M. E., Klicko, K., & Becker, B. N. (2006) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2006.04.072 · Cited by 39 · see citing works
Use of health-related information from the Internet by English-speaking patients
Khechine, H., Pascot, D., & Prémont, P. (2008) · Health Informatics Journal · doi:10.1177/1460458207086331 · Cited by 35 · see citing works
Cline, R. J. W., Penner, L. A., Harper, F. W. K., Foster, T. S., Ruckdeschel, J. C., & Albrecht, T. L. (2007) · Journal of Oncology Practice · doi:10.1200/jop.0737001 · Cited by 34 · see citing works
Neitzer, A., Sun, S. J., Doss, S., et al. (2012) · Hemodialysis International · doi:10.1111/j.1542-4758.2012.00663.x · Cited by 32 · see citing works
Dilliway, G., & Maudsley, G. (2008) · Journal of Evaluation in Clinical Practice · doi:10.1111/j.1365-2753.2007.00911.x · Cited by 29 · see citing works
Impact of multidisciplinary, early renal education on vascular access placement.
Lindberg, J. S., Husserl, F. E., Ross, J. L., et al. (2005) · PubMed · Cited by 25 · see citing works
Internet use by end‐stage renal disease patients
Seto, E., Cafazzo, J. A., Carlos, R. I. Z. O., Bonert, M., Fong, E., & Chan, C. T. (2007) · Hemodialysis International · doi:10.1111/j.1542-4758.2007.00188.x · Cited by 21 · see citing works
Health-related Internet use among patients of osteopathic physicians.
Cooley, D., Mancuso, A., Weiss, L. B., & Coren, J. S. (2011) · PubMed · Cited by 14 · see citing works
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Reer, F., Tang, W. Y., & Quandt, T. (2019) · New Media & Society · doi:10.1177/1461444818823719 · Cited by 335 · see citing works
Baker, D. A., & Algorta, G. P. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0206 · Cited by 286 · see citing works
Internet Use, Facebook Intrusion, and Depression: Results of a Cross-Sectional Study
Błachnio, A., Przepiórka, A., & Pantic, I. (2015) · European Psychiatry · doi:10.1016/j.eurpsy.2015.04.002 · Cited by 199 · see citing works
Mamun, M. A. A., & Griffiths, M. D. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.039 · Cited by 175 · see citing works
Sayeed, A., Hassan, M. N., Rahman, M. H., El Hayek, S., Banna, M. H. A., Mallick, T., Hasan, A.-R., Meem, A. E., & Kundu, S. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105424 · Cited by 63 · see citing works
Gul, H., Yurumez Solmaz, E., Gul, A., & Oner, O. (2018) · Psychiatry and Clinical Psychopharmacology · doi:10.1080/24750573.2017.1383706 · Cited by 51 · see citing works
Masedu, F., Mazza, M., Di Giovanni, C., Calvarese, A., Tiberti, S., Sconci, V., & Valenti, M. (2014) · Frontiers in Public Health · doi:10.3389/fpubh.2014.00286 · Cited by 28 · see citing works
- Authors
- Afsar, B.
- Venue
- General Hospital Psychiatry
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 35
- Issue
- 6
- Pages
- 625-630
- ISSN
- 0163-8343 (ISSN-L)
- OpenAlex
- W2048862157
- Cited by
- 46
- References
- 31
- Citations by year
- 2026: 5 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 5 · 2016: 3 · 2015: 4 · 2014: 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- General Hospital Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- internet use, social media use, hemodialysis patients, quality of life, depression, cognitive function, sleep quality, end-stage renal disease, online health information, educational attainment, demographic factors
- MeSH terms
- Adult, Aged, Cognition, Cognition Disorders, Cross-Sectional Studies, Depressive Disorder, Female, Renal Dialysis, Humans, Male, Middle Aged, Quality of Life, Surveys and Questionnaires, Sleep Wake Disorders, Internet, Social Media
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