Minji Gil
Biographic Data
| ID | 7633766 |
|---|---|
| NAME | Minji Gil |
| GIVEN NAMES | Minji |
| FAMILY NAME | Gil |
| SIGNATURE | GIL M |
| AFFILIATIONS | Ewha Womans University |
| ORCID | 0000-0001-8600-6590 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Machine learning models for predicting depression in Korean young employees
Background The incidence of depression among employees has gradually risen. Previous studies have focused on predicting the risk of depression, but most studies were conducted using basic statistical methods. This study used machine learning algorithms to build models that detect and identify the important factors associated with depression in the workplace. Methods A total of 503 employees completed an online survey that included questionnaires …
Online coaching blended couple‐oriented intervention for preventing depression among Korean middle adulthood: A feasibility study
Depression and marital satisfaction have a reciprocal cause‐and‐effect relationship. Thus, couple relationships should be considered to maximize the effectiveness of couple‐oriented interventions for depression. Moreover, developing culturally tailored couple‐oriented interventions is critical for improving cultural acceptability and enhancing the perceived effectiveness of the interventions. A new culturally tailored MindGuide Couple interventio…
Development of an Online-Coaching Blended Couple-Oriented Intervention for Preventing Depression in Middle Adulthood: An Intervention Mapping Study
Background Although middle-aged adults in Korea are vulnerable to depression, there are few preventive interventions for depression in middle adulthood. Studies consistently suggest that interventions that include both spouses are effective in decreasing depression and relationship distress. Considering the busy lives of middle-aged couples, it is essential to develop an online-coaching blended couple-oriented intervention. This study aimed to de…
Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors
Background: Depression is one of the most prevalent mental illnesses among college students worldwide. Using the family triad dataset, this study investigated machine learning (ML) models to predict the risk of depression in college students and identify important family and individual factors. Methods: This study predicted college students at risk of depression and identified significant family and individual factors in 171 family data (171 fath…
Feasibility and Preliminary Efficacy of a New Online Self-Help Intervention for Depression among Korean College Students’ Families
Applying innovative online approaches to interventions for preventing depression is necessary. Since depressive emotions are typically shared within the family, the development of interventions involving family members is critical. This study thus aimed to examine the feasibility, acceptability, and preliminary outcomes of a new online self-help intervention, MindGuide, among Korean college students' families. We developed MindGuide, which integr…
Development and Validation of the Family Relationship Assessment Scale in Korean College Students’ Families
The nature of family relationships is a critical measure for healthcare professionals who work with families. In particular, non‐Western cultural groups display a higher level of collectivism that emphasizes relationships between family members. This paper reports the development and psychometric testing of a new scale, the Korean Family Relationship Assessment Scale (FRAS). Using DeVellis’ Guidelines in Scale Development, a pool of 40 items was …
The Benefits of Spiritual Diaries: A Mixed-Method Study in Korea
This mixed study examined the benefits of spiritual diaries in Korea. Quantitatively, differences in spiritual growth and psychological well-being were examined in relation to the frequency of writing spiritual diaries among 385 participating adults. The group who wrote spiritual diaries ‘5–7 times a week’ had significantly higher scores relating to spiritual growth and psychological wellbeing than other groups across the outcome variables. Quali…
Family Interdependence, Spiritual Perspective, Self-Transcendence, and Depression Among Korean College Students
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Family Interdependence, Spiritual Perspective, Self-Transcendence, and Depression Among Korean College Students
Development and Validation of the Family Relationship Assessment Scale in Korean College Students’ Families
The nature of family relationships is a critical measure for healthcare professionals who work with families. In particular, non‐Western cultural groups display a higher level of collectivism that emphasizes relationships between family members. This paper reports the development and psychometric testing of a new scale, the Korean Family Relationship Assessment Scale (FRAS). Using DeVellis’ Guidelines in Scale Development, a pool of 40 items was …
The Benefits of Spiritual Diaries: A Mixed-Method Study in Korea
This mixed study examined the benefits of spiritual diaries in Korea. Quantitatively, differences in spiritual growth and psychological well-being were examined in relation to the frequency of writing spiritual diaries among 385 participating adults. The group who wrote spiritual diaries ‘5–7 times a week’ had significantly higher scores relating to spiritual growth and psychological wellbeing than other groups across the outcome variables. Quali…
Development of an Online-Coaching Blended Couple-Oriented Intervention for Preventing Depression in Middle Adulthood: An Intervention Mapping Study
Background Although middle-aged adults in Korea are vulnerable to depression, there are few preventive interventions for depression in middle adulthood. Studies consistently suggest that interventions that include both spouses are effective in decreasing depression and relationship distress. Considering the busy lives of middle-aged couples, it is essential to develop an online-coaching blended couple-oriented intervention. This study aimed to de…
Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors
Background: Depression is one of the most prevalent mental illnesses among college students worldwide. Using the family triad dataset, this study investigated machine learning (ML) models to predict the risk of depression in college students and identify important family and individual factors. Methods: This study predicted college students at risk of depression and identified significant family and individual factors in 171 family data (171 fath…
Feasibility and Preliminary Efficacy of a New Online Self-Help Intervention for Depression among Korean College Students’ Families
Applying innovative online approaches to interventions for preventing depression is necessary. Since depressive emotions are typically shared within the family, the development of interventions involving family members is critical. This study thus aimed to examine the feasibility, acceptability, and preliminary outcomes of a new online self-help intervention, MindGuide, among Korean college students' families. We developed MindGuide, which integr…
Machine learning models for predicting depression in Korean young employees
Background The incidence of depression among employees has gradually risen. Previous studies have focused on predicting the risk of depression, but most studies were conducted using basic statistical methods. This study used machine learning algorithms to build models that detect and identify the important factors associated with depression in the workplace. Methods A total of 503 employees completed an online survey that included questionnaires …
Online coaching blended couple‐oriented intervention for preventing depression among Korean middle adulthood: A feasibility study
Depression and marital satisfaction have a reciprocal cause‐and‐effect relationship. Thus, couple relationships should be considered to maximize the effectiveness of couple‐oriented interventions for depression. Moreover, developing culturally tailored couple‐oriented interventions is critical for improving cultural acceptability and enhancing the perceived effectiveness of the interventions. A new culturally tailored MindGuide Couple interventio…
Psychology (8 works) · Medicine (7 works) · Clinical Psychology (6 works) · Psychiatry (6 works) · Psychotherapist (5 works) · Social Psychology (5 works) · Digital Mental Health Interventions (4 works) · Nursing (3 works) · Psychological intervention (3 works) · Public health (3 works)