Gender Differences in Suicide Rates of Municipalities in South Korea

Crisis ◽  
2021 ◽  
Author(s):  
Kyu-Hyoung Jeong ◽  
Seungjong Cho
Keyword(s):  
Gender Differences ◽  
Life Cycle ◽  
South Korea ◽  
Suicide Rate ◽  
Urban Areas ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Group Method ◽  
Suicide Rates ◽  
Latent Profile

Abstract. Background: South Korea showed the highest suicide rate among the countries in the Organization for Economic Cooperation and Development. Aims: This study aimed to discern the profiles of municipalities according to their suicide rates across the life cycle and gender, and then to identify the unique characteristics of each latent group. Method: This study applied a latent profile modeling to categorize the regions by life cycle suicide rates of their residents. The latent profile analysis (LPA) yielded four latent groups for males and three groups for females. This study explored the unique characteristics of 250 municipalities by latent groups with these groups. Results: The results suggested significant gender differences in the characteristics of localities. For the high adolescent suicide rates groups, there was a higher proportion of urban areas among males while there was a higher proportion of rural regions among females. Limitations: This study analyzed secondary data of municipalities, so the characteristics of each profile of suicide rate could only be identified within this existing data. Conclusions: This paper is one of the first studies to apply the LPA to different latent profiles by life cycle suicide rates.

Rural and Urban Suicide in South Korea

2012 ◽  
Vol 111 (2) ◽  
pp. 495-497 ◽  
Author(s):  
B. C. Ben Park ◽  
David Lester
Keyword(s):  
South Korea ◽  
Suicide Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
The Elderly ◽  
Suicide Rates ◽  
Rural And Urban

Suicide rates in 2005 in South Korea were higher in rural areas than in urban areas. Those in rural areas more often used pesticides and chemicals as a method for suicide, and there was a greater proportion of men and the elderly, both groups at higher risk for suicide in South Korea. These three factors may account for the high rural suicide rate in South Korea.

Exploring Science Career Interest: Latent Profile Analysis of High School Occupational Preferences for Science

2018 ◽  
Vol 46 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Sarah L. Ferguson ◽  
Darrell M. Hull
Keyword(s):  
High School ◽  
Gender Differences ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Academic Experience ◽  
Science Interest ◽  
Future Research Directions ◽  
The Impact ◽  
Latent Profile

The present study evaluates high school juniors and seniors ( n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent profile analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Gender differences were of particular interest due to concerns noted in the literature, and some gender differences were identified in the present study. Covariate analysis indicated vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.

scholarly journals Work–Family Balance among Dual-Earner Couples in South Korea: A Latent Profile Analysis

2021 ◽  
Vol 18 (11) ◽  
pp. 6129
Author(s):  
Sun-Young Ji ◽  
Hye-Sun Jung
Keyword(s):  
Social Support ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Good Health ◽  
High Gain ◽  
Family Balance ◽  
Work Family Balance ◽  
Work Family ◽  
Latent Profile

The declining birth rate in South Korea is concerning and linked to stress in the work–family balance, which is known to affect family planning. Therefore, providing proper support to double-earner couples might help improve the fertility rate. Work–family balance refers to the ability of individuals to perform their roles at work and home with equal involvement. This study identifies two aspects: gains and strains. Latent profile analysis is employed to create a typology that can account for the diversity in work–family balance. This approach is person-centered rather than variable-centered, and it identifies clusters of individuals that differ qualitatively, thereby examining the strains and gains experienced by double-earner couples. We classify the types of work–family balance and identify the attributes of each profile. The findings showed that men were more likely to belong to the high-gain class when they had a temporary position, multiple children, good health, low depression, higher life satisfaction levels, and strong social support. Women were more likely to belong to the high-gain class when they experienced high happiness levels and strong social support. Based on these profiles, we provide recommendations to enhance work–family balance, thereby contributing to strategies to overcome low birth rates.

scholarly journals Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12374
Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Large Distribution ◽  
Latent Profile

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex (p < 0.001), age (p < 0.001), and regular medication intake (p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels (p < 0.001) and low loneliness levels (p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life (p < 0.001) as well as mental health (p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

Researching multiple publics through latent profile analysis: Similarities and differences in science and technology attitudes in China, Japan, South Korea and the United States

2018 ◽  
Vol 28 (2) ◽  
pp. 130-145 ◽  
Author(s):  
Ashley Pullman ◽  
Michelle Y. Chen ◽  
Danjie Zou ◽  
Benjamin A. Hives ◽  
Yan Liu
Keyword(s):  
United States ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Public Attitudes ◽  
Science And Technology ◽  
The United States ◽  
High Tech ◽  
Technology Attitudes ◽  
Latent Profile

How science and technology attitudes vary across the United States, China, South Korea and Japan – all of which top Bloomberg’s list of high-tech centralization – is explored through data from the sixth wave of the World Values Survey (2010–2014). The following study examines the presence of different types of attitudinal groups using latent profile analysis. Not only do unique attitudinal groups exist in each country, but each group is uniquely influenced by select demographic characteristics, including education, age, gender, religiosity, employment status and individual interaction with technology. The findings provide insight into public attitudes towards science and technology across social and cultural contexts and generate nuanced understandings of similar and different attitudinal groups in East Asia and the United States.

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