| Title: |
eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study |
| Authors: |
Lin, Annie Wen; Baik, Sharon H; Aaby, David; Tello, Leslie; Linville, Twila; Alshurafa, Nabil; Spring, Bonnie |
| Source: |
JMIR Cancer, Vol 6, Iss 2, p e24137 (2020) |
| Publisher Information: |
JMIR Publications, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282 |
| Description: |
BackgroundeHealth technologies have been found to facilitate health-promoting practices among cancer survivors with BMI in overweight or obese categories; however, little is known about their engagement with eHealth to promote weight management and facilitate patient-clinician communication. ObjectiveThe objective of this study was to determine whether eHealth use was associated with sociodemographic characteristics, as well as medical history and experiences (ie, patient-related factors) among cancer survivors with BMI in overweight or obese categories. MethodsData were analyzed from a nationally representative cross-sectional survey (National Cancer Institute’s Health Information National Trends Survey). Latent class analysis was used to derive distinct classes among cancer survivors based on sociodemographic characteristics, medical attributes, and medical experiences. Logistic regression was used to examine whether class membership was associated with different eHealth practices. ResultsThree distinct classes of cancer survivors with BMI in overweight or obese categories emerged: younger with no comorbidities, younger with comorbidities, and older with comorbidities. Compared to the other classes, the younger with comorbidities class had the highest probability of identifying as female (73%) and Hispanic (46%) and feeling that clinicians did not address their concerns (75%). The older with comorbidities class was 6.5 times more likely than the younger with comorbidities class to share eHealth data with a clinician (odds ratio [OR] 6.53, 95% CI 1.08-39.43). In contrast, the younger with no comorbidities class had a higher likelihood of using a computer to look for health information (OR 1.93, 95% CI 1.10-3.38), using an electronic device to track progress toward a health-related goal (OR 2.02, 95% CI 1.08-3.79), and using the internet to watch health-related YouTube videos (OR 2.70, 95% CI 1.52-4.81) than the older with comorbidities class. ConclusionsClass membership was associated with different patterns of eHealth engagement, indicating the importance of tailored digital strategies for delivering effective care. Future eHealth weight loss interventions should investigate strategies to engage younger cancer survivors with comorbidities and address racial and ethnic disparities in eHealth use. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2369-1999 |
| Relation: |
http://cancer.jmir.org/2020/2/e24137/; https://doaj.org/toc/2369-1999 |
| DOI: |
10.2196/24137 |
| Access URL: |
https://doaj.org/article/ef1f7aacaa2b455ba86fd3dc03e8f1cf |
| Accession Number: |
edsdoj.f1f7aacaa2b455ba86fd3dc03e8f1cf |
| Database: |
Directory of Open Access Journals |