Youngwon Nam

Dr. Youngwon Nam

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 August 2020 in Journal of Family and Economic Issues
Verified
Journal Article
Closed access
PDF file
YNYoungwon Nam
Youngwon Nam
CLCäzilia Loibl
Cäzilia Loibl

2 May 2022 in Computers in Human Behavior
Verified
Journal Article
Closed access
SASun Young Ahn
Sun Young Ahn
YNYoungwon Nam
Youngwon Nam

1 January 2021 in Nutrition Research and Practice
Verified
Journal Article
Open access
PDF file
JRJong-Youn Rha
Jong-Youn Rha
BLBohan Lee
Bohan Lee
YNYoungwon Nam
Youngwon Nam
JYJihyun Barbara Yoon
Jihyun Barbara Yoon
Rha JY, et al. Nutr Res Pract. 2021 Dec;15(Suppl 1):S94-0. https://doi.org/10.4162/nrp.2021.15.S1.S94

4 September 2024 in Journal of Retailing and Consumer Services
Verified
Journal Article
Closed access
YNYoungwon Nam
Youngwon Nam
SLSihyun Lee
Sihyun Lee
HLHoyoung Lee
Hoyoung Lee

1 January 2023 in Nutrition Research and Practice
Verified
Journal Article
Open access
PDF file
JRJong-Youn Rha
Jong-Youn Rha
YNYoungwon Nam
Youngwon Nam
JYJihyun Barbara Yoon
Jihyun Barbara Yoon
BLBohan Lee
Bohan Lee
Rha JY, et al. Nutr Res Pract. 2023 Jun;17(3):583-596. https://doi.org/10.4162/nrp.2023.17.3.583

17 August 2022 in Digital Health
Verified
Journal Article
Open access
JRJong-Youn Rha
Jong-Youn Rha
YNYoungwon Nam
Youngwon Nam
SASun Young Ahn
Sun Young Ahn
JKJihye Kim
Jihye Kim
YCYouchung Chang
Youchung Chang
HCHyucK Choo
HyucK Choo
Objective: Given the rapid growth of the wearable healthcare device market, we examined the associations among health-related and technology-related characteristics of using wearable healthcare devices and demonstrated how the associations differ between the US and Korean users. Methods: Online self-administered surveys were conducted with 4098 participants (3035 in the US and 1063 in Korea) who were recruited through two online survey service providers based on quota sampling. The primary outcome was the use of wearable healthcare devices. Seven health-related, two technology-related, and five socio-demographic factors were included as explanatory variables. Binary logistic regression analyses and a Chow test were conducted. Results: The health-related characteristics that were significantly associated with using wearable healthcare devices included disease-related worries (β = 0.11**), health information seeking (β = 0.26***), physical activity (β = 0.62***), and health-related expenditures ($50–$199, β = 0.38***; $200 or more, β = 0.56***). Hedonic (β = 0.33***), social (β = 0.31***), and cognitive innovativeness (β = 0.14*) also exhibited positive relationships. Younger, higher earner, and individuals with a child were more likely to use wearable healthcare devices. However, for Korean users, several associations disappeared including health information seeking, hedonic and social innovativeness, age, and household income. Conclusions: Key drivers of using wearable healthcare devices include greater concern about a specific illness, active engagement in health-promoting behaviors, and hedonic and social motivation to adopt new technologies. However, more country-specific considerations are needed in future studies to identify the main benefits for target markets.