{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T18:10:50Z","timestamp":1776363050260,"version":"3.51.2"},"reference-count":71,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T00:00:00Z","timestamp":1660780800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001230","name":"Macquarie University","doi-asserted-by":"publisher","award":["2018148"],"award-info":[{"award-number":["2018148"]}],"id":[{"id":"10.13039\/501100001230","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Australian Government Research Training Scholarship"},{"name":"Medical Research Future Fund","award":["APP1193862"],"award-info":[{"award-number":["APP1193862"]}]}],"content-domain":{"domain":["www.plosdigitalhealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Digit Health"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Objectives<\/jats:title>\n<jats:p>To examine i) the use of mobile apps and fitness trackers in adults during the COVID-19 pandemic to support health behaviors; ii) the use of COVID-19 apps; iii) associations between using mobile apps and fitness trackers, and health behaviors; iv) differences in usage amongst population subgroups.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>An online cross-sectional survey was conducted during June\u2013September 2020. The survey was developed and reviewed independently by co-authors to establish face validity. Associations between using mobile apps and fitness trackers and health behaviors were examined using multivariate logistic regression models. Subgroup analyses were conducted using Chi-square and Fisher\u2019s exact tests. Three open-ended questions were included to elicit participants\u2019 views; thematic analysis was conducted.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>Participants included 552 adults (76.7% women; mean age: 38\u00b113.6 years); 59.9% used mobile apps for health, 38.2% used fitness trackers, and 46.3% used COVID-19 apps. Users of mobile apps or fitness trackers had almost two times the odds of meeting aerobic physical activity guidelines compared to non-users (odds ratio = 1.91, 95% confidence interval 1.07 to 3.46, <jats:italic>P<\/jats:italic> = .03). More women used health apps than men (64.0% vs 46.8%, <jats:italic>P<\/jats:italic> = .004). Compared to people aged 18\u201344 (46.1%), more people aged 60+ (74.5%) and more people aged 45\u201360 (57.6%) used a COVID-19 related app (<jats:italic>P<\/jats:italic> &lt; .001). Qualitative data suggest people viewed technologies (especially social media) as a \u2018double-edged sword\u2019: helping with maintaining a sense of normalcy and staying active and socially connected, but also having a negative emotional effect stemming from seeing COVID-related news. People also found that mobile apps did not adapt quickly enough to the circumstances caused by COVID-19.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>Use of mobile apps and fitness trackers during the pandemic was associated with higher levels of physical activity, in a sample of educated and likely health-conscious individuals. Future research is needed to understand whether the association between using mobile devices and physical activity is maintained in the long-term.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pdig.0000087","type":"journal-article","created":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T17:32:17Z","timestamp":1660843937000},"page":"e0000087","update-policy":"https:\/\/doi.org\/10.1371\/journal.pdig.corrections_policy","source":"Crossref","is-referenced-by-count":31,"title":["The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey"],"prefix":"10.1371","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8462-0105","authenticated-orcid":true,"given":"Huong Ly","family":"Tong","sequence":"first","affiliation":[]},{"given":"Carol","family":"Maher","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8301-1391","authenticated-orcid":true,"given":"Kate","family":"Parker","sequence":"additional","affiliation":[]},{"given":"Tien Dung","family":"Pham","sequence":"additional","affiliation":[]},{"given":"Ana Luisa","family":"Neves","sequence":"additional","affiliation":[]},{"given":"Benjamin","family":"Riordan","sequence":"additional","affiliation":[]},{"given":"Clara K.","family":"Chow","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1020-3402","authenticated-orcid":true,"given":"Liliana","family":"Laranjo","sequence":"additional","affiliation":[]},{"given":"Juan C.","family":"Quiroz","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,8,18]]},"reference":[{"issue":"11","key":"pdig.0000087.ref001","doi-asserted-by":"crossref","first-page":"4065","DOI":"10.3390\/ijerph17114065","article-title":"Depression, anxiety and stress during COVID-19: associations with changes in physical activity, sleep, tobacco and alcohol use in Australian adults","volume":"17","author":"R Stanton","year":"2020","journal-title":"Int J Environ Res Public Health"},{"issue":"9","key":"pdig.0000087.ref002","doi-asserted-by":"crossref","first-page":"e2019686","DOI":"10.1001\/jamanetworkopen.2020.19686","article-title":"Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic","volume":"3","author":"CK Ettman","year":"2020","journal-title":"JAMA network open"},{"issue":"6","key":"pdig.0000087.ref003","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.3390\/nu12061583","article-title":"Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey","volume":"12","author":"A Ammar","year":"2020","journal-title":"Nutrients"},{"key":"pdig.0000087.ref004","doi-asserted-by":"crossref","first-page":"104853","DOI":"10.1016\/j.appet.2020.104853","article-title":"Obesity, eating behavior and physical activity during COVID-19 lockdown: A study of UK adults","volume":"156","author":"E Robinson","year":"2021","journal-title":"Appetite"},{"issue":"1","key":"pdig.0000087.ref005","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1186\/s12966-021-01106-x","article-title":"How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China","volume":"18","author":"D Ding","year":"2021","journal-title":"Int J Behav Nutr Phys Act"},{"key":"pdig.0000087.ref006","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1007\/s12529-021-09974-0","article-title":"Preexisting Executive Function Deficits and Change in Health Behaviors During the COVID-19 Pandemic","volume":"28","author":"BM Appelhans","year":"2021","journal-title":"Int J Behav Med"},{"issue":"9","key":"pdig.0000087.ref007","doi-asserted-by":"crossref","first-page":"767","DOI":"10.7326\/M20-2665","article-title":"Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study","volume":"173","author":"GH Tison","year":"2020","journal-title":"Ann Intern Med"},{"key":"pdig.0000087.ref008","unstructured":"World Health Organization. #HealthyAtHome. 2020 [cited 2020 7 May]; Available from: https:\/\/www.who.int\/news-room\/campaigns\/connecting-the-world-to-combat-coronavirus\/healthyathome."},{"issue":"8","key":"pdig.0000087.ref009","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1038\/s41591-020-1011-4","article-title":"Digital technologies in the public-health response to COVID-19","volume":"26","author":"J Budd","year":"2020","journal-title":"Nat Med"},{"issue":"23","key":"pdig.0000087.ref010","doi-asserted-by":"crossref","first-page":"e82","DOI":"10.1056\/NEJMp2005835","article-title":"Covid-19 and health care\u2019s digital revolution","volume":"382","author":"S Keesara","year":"2020","journal-title":"N Engl J Med"},{"issue":"10","key":"pdig.0000087.ref011","doi-asserted-by":"crossref","first-page":"956","DOI":"10.1056\/NEJMra1806949","article-title":"Mobile Devices and Health","volume":"381","author":"I. 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