Sangeun Lee

发表

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Heejung Kim, Sunghee Lee, Sangeun Lee, 2019, JMIR mHealth and uHealth.

Health behaviors influencing depressive symptoms in older Koreans living alone: secondary data analysis of the 2014 Korean longitudinal study of aging

Heejung Kim, Sangeun Lee, Soyun Hong, 2018, BMC Geriatrics.

Associations between childhood psychological trauma, posttraumatic stress symptoms, and mental health in female college students: Mediation of coping styles.

Sangeun Lee, S. Kong, Heejung Kim, 2021, Perspectives in psychiatric care.

Korean Version of the Swedish Occupational Fatigue Inventory among Construction Workers: Cultural Adaptation and Psychometric Evaluation

Sangeun Lee, Soyun Hong, Youngshin Cho, 2021, International journal of environmental research and public health.

Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis

Sangeun Lee, Youkyung Kim, Youngshin Cho, 2021, International journal of environmental research and public health.

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone (Preprint)

Heejung Kim, Sunghee Lee, Sangeun Lee, 2019 .

Experiences of Sex Workers in Chicago during COVID-19: A Qualitative Study

S. Sherman, Sangeun Lee, Jessica L. Zemlak, 2023, International journal of environmental research and public health.

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study

Heejung Kim, Sangeun Lee, Soyun Hong, 2018, JMIR mHealth and uHealth.

A comparative study to identify factors of caregiver burden between baby boomers and post baby boomers: a secondary analysis of a US online caregiver survey

Mido Chang, Heejung Kim, Sangeun Lee, 2018, BMC Public Health.

Self-management of Older Korean Adults Living with Chronic Diseases: The mHealth Training Protocol and Feasibility Study (Preprint)

Heejung Kim, Sangeun Lee, Soyun Hong, 2018 .

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone (Preprint)

Heejung Kim, Sunghee Lee, Sangeun Lee, 2019 .

A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study.

Sangeun Lee, Soyun Hong, Mijung Kim, 2022, International journal of nursing studies.

Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study

Sangeun Lee, Sooyoung Kwon, Y. Ahn, 2021, BMC Public Health.