Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 2/2018

11-11-2017

Technology use and its association with health and depressive symptoms in older cancer survivors

Auteurs: Hee Yun Lee, Jeehoon Kim, Monica Sharratt

Gepubliceerd in: Quality of Life Research | Uitgave 2/2018

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

Acknowledging the expanding influence of technology in the promotion of health and wellness, this study assessed the role of information and communication technology (ICT) use in the lives of older cancer survivors.

Methods

A community sample of cancer survivors aged 65 and older (N = 1411) was extracted from a 2011 U.S. National Health and Aging Trends Study dataset. Weighted multiple regression and multinomial logistic regression analyses were performed to explore the relationships between survey respondents’ ICT use and their self-rated health status and depressive symptoms.

Results

The majority of respondents reported rarely or never engaging in ICT use. Greater use of communication technology such as emailing or texting was associated with decreased risk for severe depressive symptoms and higher self-rated health status. Information technology use was not associated with depressive symptoms and self-rated health status.

Conclusions

Investigation into reasons behind older cancer survivors’ apparent low rates of engagement with ICT is warranted, particularly the examination of access as a potential barrier. Findings indicated that frequent use of communication technology was positively linked with mental and physical wellness. The nature of the relationships between communication technology use and physical and mental health merits further research, helping to determine whether community-based educational efforts to improve technology access and skills may benefit the growing population of older cancer survivors.
vorige artikel Effects of a 9-month resistance training intervention on quality of life, sense of coherence, and depressive symptoms in older adults: randomized controlled trial
volgende artikel Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: mediating and moderating effects
Literatuur
1.
Moor, J. S., Mariotto, A. B., Parry, C., Alfano, C. M., Padgett, L., Kent, E. E., et al. (2013). Cancer survivors in the United States: Prevalence across the survivorship trajectory and implications for care. Cancer Epidemiology, Biomarkers & Prevention, 22(4), 561–570.CrossRef
2.
Parry, C., Kent, E. E., Mariotto, A. B., Alfano, C. M., & Rowland, J. H. (2011). Cancer survivors: A booming population. Cancer Epidemiology, Biomarkers & Prevention, 20(10), 1996–2005.CrossRef
3.
Fossa, S. D., Loge, J. H., & Dahl, A. A. (2008). Long-term survivorship after cancer: How far have we come. Annals of Oncology, 19(Suppl 5), v25–v29.CrossRefPubMed
4.
Grov, E. K., Fosså, S. D., & Dahl, A. A. (2010). Activity of daily living problems in older cancer survivors: A population-based controlled study. Health & Social Care in the Community, 18(4), 396–406.
5.
Keating, N. L., Nørredam, M., Landrum, M. B., Huskamp, H. A., & Meara, E. (2005). Physical and mental health status of older long-term cancer survivors. Journal of the American Geriatrics Society, 53(12), 2145–2152.CrossRefPubMed
6.
Mao, J. J., Armstrong, K., Bowman, M. A., Xie, S. X., Kadakia, R., & Farrar, J. T. (2007). Symptom burden among cancer survivors: Impact of age and comorbidity. Journal of the American Board of Family Medicine, 20(5), 434–443.CrossRefPubMed
7.
Smith, A. W., Reeve, B. B., Bellizzi, K. M., Harlan, L. C., Klabunde, C. N., Amsellem, M., et al. (2008). Cancer, comorbidities, and health-related quality of life of older adults. Health Care Financing Review, 29(4), 41–56.PubMedPubMedCentral
8.
Beck, S. L., Towsley, G. L., Caserta, M. S., Lindau, K., & Dudley, W. N. (2009). Symptom experiences and quality of life of rural and urban older adult cancer survivors. Cancer Nursing, 32(5), 359–369.CrossRefPubMed
9.
Reyes-Gibby, C. C., Anderson, K. O., Morrow, P. K., Shete, S., & Hassan, S. (2012). Depressive symptoms and health-related quality of life in breast cancer survivors. Journal of Women’s Health, 21(3), 311–318.CrossRefPubMedPubMedCentral
10.
Schlairet, M. C., & Benton, M. J. (2011). Quality of life and perceived educational needs among older cancer survivors. Journal of Cancer Education, 27(1), 21–26.CrossRef
11.
Deimling, G. T., Bowman, K. F., & Wagner, L. J. (2007). The effects of cancer-related pain and fatigue on functioning of older adult, long-term cancer survivors. Cancer Nursing, 30(6), 421–433.CrossRefPubMed
12.
Luciani, A., Jacobsen, P. B., Extermann, M., Foa, P., Marussi, D., Overcash, J. A., et al. (2008). Fatigue and functional dependence in older cancer patients. American Journal of Clinical Oncology, 31(5), 424–430.CrossRefPubMed
13.
Beatty, L., Kemp, E., Wade, T., & Koczwara, B. (2015). Finding my way: Protocol of a randomised controlled trial evaluating an internet self-help program for cancer-related distress. BMC cancer, 15, 328.CrossRefPubMedPubMedCentral
14.
Diefenbach, M. A., & Butz, B. P. (2004). A multimedia interactive education system for prostate cancer patients: Development and preliminary evaluation. Journal of Medical Internet Research, 6(1), 25–31.CrossRef
15.
Grimsbo, G. H., Finset, A., & Ruland, C. M. (2011). Left hanging in the air: Experiences of living with cancer as expressed through e-mail communications with oncology nurses. Cancer Nursing, 34(2), 107–116.CrossRefPubMed
16.
Karahalios, A., Baravelli, C., Carey, M., Schofield, P., Pollard, A., Aranda, S., et al. (2007). An audiovisual information resource to assist in the transition from completion of potentially curative treatment for cancer through to survivorship: A systematic development process. Journal of Cancer Survivorship, 1(3), 226–236.CrossRefPubMed
17.
Loiselle, C. G., Edgar, L., Batist, G., Lu, J., & Lauzier, S. (2010). The impact of a multimedia informational intervention on psychosocial adjustment among individuals with newly diagnosed breast or prostate cancer: A feasibility study. Patient Education and Counseling, 80(1), 48–55.CrossRefPubMed
18.
Potter, P., Pion, S., Klinkenberg, D., Kuhrik, M., & Kuhrik, N. (2014). An instructional DVD fall-prevention program for patients with cancer and family caregivers. Oncology Nursing Forum, 41(5), 486–494.CrossRefPubMed
19.
Spoelstra, S. L., Given, C. W., Sikorskii, A., Coursaris, C. K., Majumder, A., DeKoekkoek, T., et al. (2015). A randomized controlled trial of the feasibility and preliminary efficacy of a texting intervention on medication adherence in adults prescribed oral anti-cancer agents: Study protocol. Journal of Advanced Nursing, 71(12), 2965–2976.CrossRefPubMedPubMedCentral
20.
Klemm, P. (2008). Late effects of treatment for long-term cancer survivors: Qualitative analysis of an online support group. CIN-Computers, Informatics, Nursing, 26(1), 49–58.CrossRef
21.
Chou, W. S., Liu, B., Post, S., & Hesse, B. (2011). Health-related use among cancer survivors: Data from the Health Information National Trends Survey, 2003–2008. Journal of Cancer Survivorship-Research and Practice, 5(3), 263–270.CrossRefPubMed
22.
Dilts, D., Ridner, S. H., Franco, A., & Murphy, B. (2009). Patients with cancer and e-mail: Implications for clinical communication. Supportive Care in Cancer, 17(8), 1049–1056.CrossRefPubMed
23.
Saied, A., Sherry, S. J., Castricone, D. J., Perry, K. M., Katz, S. C., & Somasundar, P. (2014). Age-related trends in utilization of the internet and electronic communication devices for coordination of cancer care in elderly patients. Journal of Geriatric Oncology, 5(2), 185–189.CrossRefPubMed
24.
Koopman-Boyden, P. G., & Reid, S. L. (2009). Internet/E-mail usage and well-being among 65–84 year olds in New Zealand: Policy implications. Educational Gerontology, 35(11), 990–1007.CrossRef
25.
Xavier, A. J., Orsi, E., Wardle, J., Demakakos, P., Smith, S. G., & Wagner, C. (2013). Internet use and cancer-preventive behaviors in older adults: Findings from a longitudinal cohort study. Cancer Epidemiology, Biomarkers & Prevention, 22(11), 2066–2074.CrossRef
26.
Gell, N. M., Rosenberg, D. E., Demiris, G., LaCroix, A. Z., & Patel, K. V. (2015). Patterns of technology use among older adults with and without disabilities. The Gerontologist, 55(3), 412–421.CrossRefPubMed
27.
28.
Sum, S., Mathews, R. M., Hughes, I., & Campbell, A. (2008). Internet use and loneliness in older adults. Cyberpsychology & Behavior, 11(2), 208–211.CrossRef
29.
Cotton, S. R., Anderson, W. A., & McCullough, B. M. (2013). Impact of internet use on loneliness and contact with others among older adults: Cross-sectional analysis. Journal of Medical Internet Research, 15(2), e39.CrossRef
30.
Cotten, S. R., Ford, G., Ford, S., & Hale, T. M. (2012). Internet use and depression among older adults. Computers in Human Behavior, 28(2), 496–499.CrossRef
31.
Cotton, S. R., Ford, G., Ford, S., & Hale, T. M. (2014). Internet use and depression among retired older adults in the United States: A longitudinal analysis. The Journals of Gerontology Series B Psychological Sciences and Social Sciences, 69(5), 763–771.CrossRef
32.
Elliot, A. J., Mooney, C. J., Douthit, K. Z., & Lynch, M. F. (2014). Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being. The Journals of Gerontology Series B Psychological Sciences and Social Sciences, 69(5), 667–677.CrossRef
33.
Centers for Disease Control and Prevention (CDC). (2010). Current depression among adults—United States, 2006 and 2008. MMWR, 59(38), 1229.
34.
Rodda, J., Walker, Z., & Carter, J. (2011). Depression in older adults. BMJ (Clinical Research ed.), 343, d5219.CrossRef
35.
Shapira, N., Barak, A., & Gal, I. (2007). Promoting older adults’ well-being through Internet training and use. Aging & Mental Health, 11(5), 477–484.CrossRef
36.
Montaquila, J., Freedman, V. A., Edwards, B., & Kasper, J. D. (2012). National Health and Aging Trends Study Round 1 sample design and selection. NHATS Technical Paper#1. Baltimore, MD: Johns Hopkins University School of Public Health.
37.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2003). The Patient Health Questionnaire-2: Validity of a two-item depression screener. Medical Care, 41(11), 1284–1292.CrossRefPubMed
38.
Li, C., Friedman, B., Conwell, Y., & Fiscella, K. (2007). Validity of the Patient Health Questionnaire 2 (PHQ-2) in identifying major depression in older people. Journal of the American Geriatrics Society, 55(4), 596–602.CrossRefPubMed
39.
Freedman, V. A., Kasper, J. D., Cornman, J. C., Agree, E. M., Bandeen-Roche, K., Mor, V., et al. (2011). Validation of new measures of disability and functioning in the National Health and Aging Trends Study. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 66 A(9), 1013–1021.CrossRef
40.
Montaquila, J., Freedman, V. A., & Kasper, J. D. (2012). Round 1 income imputation. NHATS Technical Paper #3. Baltimore, MD: Johns Hopkins University School of Public Health.
41.
StataCorp (2013). Stata statistical software: Release 13. College Station, TX: StataCorp LP.
42.
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press.
43.
44.
45.
Chiao, C., Weng, L. J., & Botticello, A. L. (2011). Social participation reduces depressive symptoms among older adults: An 18-year longitudinal analysis in Taiwan. BMC public health, 11(1), 292.CrossRefPubMedPubMedCentral
46.
Isaac, V., Stewart, R., Artero, S., Ancelin, M. L., & Ritchie, K. (2009). Social activity and improvement in depressive symptoms in older people: A prospective community cohort study. American Journal of Geriatric Psychiatry, 17(8), 688–696.CrossRefPubMed
47.
Blake, H., Mo, P., Malik, S., & Thomas, S. (2009). How effective are physical activity interventions for alleviating depressive symptoms in older people? A systematic review. Clinical Rehabilitation, 23(10), 873–887.CrossRefPubMed
48.
Mammen, G., & Faulkner, G. (2013). Physical activity and the prevention of depression: A systematic review of prospective studies. American Journal of Preventive Medicine, 45(5), 649–657.CrossRefPubMed
49.
Shankar, A., McMunn, A., Banks, J., & Steptoe, A. (2011). Loneliness, social isolation, and behavioral and biological health indicators in older adults. Health Psychology, 30(4), 377.CrossRefPubMed
50.
Cornwell, E. Y., & Waite, L. J. (2009). Social disconnectedness, perceived isolation, and health among older adults. Journal of Health and Social Behavior, 50(1), 31–48.CrossRefPubMedPubMedCentral
51.
Hong, Y. A., & Cho, J. (2017). Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. The Journals of Gerontology Series B Psychological Sciences and Social Sciences, 72(5), 856–863.
52.
53.
Ybarra, M., & Suman, M. (2008). Reasons, assessments and actions taken: Sex and age differences in uses of Internet health information. Health Education Research, 23(3), 512–521.CrossRefPubMed
54.
Blažun, H., Saranto, K., & Rissanen, S. (2012). Impact of computer training courses on reduction of loneliness of older people in Finland and Slovenia. Computers in Human Behavavior, 28(4), 1202–1212.CrossRef
55.
White, H., McConnell, E., Clipp, E., Branch, L. G., Sloane, R., Pieper, C., et al. (2002). A randomized controlled trial of the psychosocial impact of providing internet training and access to older adults. Aging & Mental Health, 6(3), 213–221.CrossRef
56.
Berg, N. (2010). Non-response Bias. Encyclopedia of Social Measurement (vol. 2, pp. 865–873). In K. Kempf-Leonard (Ed.) London: Academic Press.
57.
Freedman, V. A., & Spillman, B. C. (2016). Making National Estimates with the National Health and Aging Trends Study. NHATS Technical Paper #17. Baltimore, MD: Johns Hopkins University School of Public Health. http://​www.​NHATS.​org.
58.
Wicks, P., Massagli, M., Frost, J., Brownstein, C., Okun, S., Vaughan, T., et al. (2010). Sharing health data for better outcomes on PatientsLikeMe. Journal of Medical Internet Research, 12(2), e19.CrossRefPubMedPubMedCentral
59.
Chou, W. Y. S., Prestin, A., Lyons, C., & Wen, K. Y. (2013). Web 2.0 for health promotion: Reviewing the current evidence. American Journal of Public Health, 103(1), e9–e18.CrossRef
60.
Neuhauser, L., & Kreps, G. L. (2008). Online cancer communication: Meeting the literacy, cultural and linguistic needs of diverse audiences. Patient Education and Counseling, 71(3), 365–377.CrossRefPubMed
Metagegevens
Titel
Technology use and its association with health and depressive symptoms in older cancer survivors
Auteurs
Hee Yun Lee
Jeehoon Kim
Monica Sharratt
Publicatiedatum
11-11-2017
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 2/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-017-1734-y

Andere artikelen Uitgave 2/2018

Quality of Life Research 2/2018 Naar de uitgave

OriginalPaper

Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: mediating and moderating effects

OriginalPaper

International development of four EORTC disease-specific quality of life questionnaires for patients with Hodgkin lymphoma, high- and low-grade non-Hodgkin lymphoma and chronic lymphocytic leukaemia

OriginalPaper

A method to create a standardized generic and condition-specific patient-reported outcome measure for patient care and healthcare improvement

OriginalPaper

Assessing reserve-building pursuits and person characteristics: psychometric validation of the Reserve-Building Measure

OriginalPaper

Developing a patient-reported outcome measure for HIV care on perceived barriers to antiretroviral adherence: assessing the needs of HIV clinicians through qualitative analysis

OriginalPaper

The Minneapolis-Manchester Quality of Life Instrument: reliability and validity of the Adult Form in cancer survivors