Open AccessAre lifestyle changes from online information associated with discussing the information with a doctor? A cross -sectional study
Author(s) -
Tiki Celine Midthassel,
Anne Hansen
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0261471
Subject(s) - ehealth , odds ratio , medicine , cross sectional study , health information national trends survey , odds , logistic regression , confidence interval , gerontology , norwegian , information seeking behavior , demography , family medicine , the internet , health care , health information , linguistics , philosophy , pathology , sociology , world wide web , computer science , economics , economic growth
Background The prevalence of diabetes and the use of electronic health (eHealth) are increasing. Lifestyle changes in a positive direction may reduce morbidity and mortality in patients with diabetes. The main objective of this study was to test the association between lifestyle changes based on online information seeking and discussing the information with a doctor. Methods In this cross-sectional study we used e-mail survey data from 1250 members of The Norwegian Diabetes Association, collected in 2018. Included in the analyses were 847 men and women aged 18 to 89 years diagnosed with diabetes and who reported use of eHealth within the previous year. We used descriptive statistics to estimate lifestyle changes based on information from the internet. Logistic regressions were used to estimate the associations between lifestyle changes after online information seeking and discussing the information with a doctor. Analyses were adjusted for gender, age, education, and self-rated health. Results Lifestyle changes accomplished after online information seeking was reported by 46.9% (397/847) of the participants. The odds of changing lifestyle were more than doubled for those who had discussed information from the internet with a doctor (odds ratio 2.54, confidence interval 1.90–3.40). The odds of lifestyle changes were lower in the age groups 30–39 years and 60 years and over, compared to those aged 18–29 years (the reference group). Lifestyle changes were not associated with gender, education, or self-rated health. Conclusions Our findings indicate that health-care professionals can play an important role in lifestyle changes additional to health-advice found on the internet. This study underlines the importance of easily accessible high-quality online information, as well as the importance of making room for discussing lifestyle in the clinical encounter.