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"Jae-Heon Kang"

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"Jae-Heon Kang"

Original Articles
The Mediating Role of Parental Support in the Relationship between Life Stress and Suicidal Ideation among Middle School Students
Bong-Hee Kang, Jae-Heon Kang, Hyun-Ah Park, Young-Gyu Cho, Yang-Im Hur, Won Yong Sim, Gyeong-Ran Byeon, Kyoungwoo Kim
Korean J Fam Med 2017;38(4):213-219.   Published online July 20, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.4.213
Background

Youth suicide is increasingly being recognized as a major social problem in South Korea. In this study, we aimed to explore the effects of parental support on the relationship between life stress and suicidal ideation among middle-school students.

Methods

This study analyzed data from a cross-sectional study on mental health conducted by the South Korea National Youth Policy Institute between May and July of 2013. Questionnaire responses from 3,007 middle-school students regarding stress factors, thoughts of suicide during the past year, and parental support were analyzed in terms of 3 subscale elements: emotional, academic, and financial support.

Results

Among the participants, 234 male students (7.8%) and 476 female students (15.8%) reported experiencing suicidal ideation in the past year. Life stress significantly influenced suicidal ideation (P<0.001), and parental support and all of the subscale elements had a significant influence on decreasing suicidal ideation. As shown in model 1, life stress increased suicidal ideation (adjusted odds ratio [aOR], 1.318; P<0.001), and, in model 2, the effect of life stress on suicidal ideation decreased with parental support (aOR, 1.238; P<0.001).

Conclusion

Parental support was independently related to a decrease in suicidal ideation, and life stress was independently related to an increase in suicidal ideation. Parental support buffered the relationship between life stress and suicidal ideation.

Citations

Citations to this article as recorded by  
  • Family dominant hypothesis for the effect of family of origin on the mental health of offspring: evidence, mechanism, and implications
    Zongpei Dai, Yutong Luo, Jieying Tan, Li Hu, Qin Dai
    Frontiers in Psychiatry.2026;[Epub]     CrossRef
  • The Psychometric Properties of the Korean Version of the Reasons for Living Inventory for Young Adults–II
    Minkyung Yim, Gyumyoung Kim, Hayoung Bae, Ji-Won Hur
    Measurement and Evaluation in Counseling and Development.2026; : 1.     CrossRef
  • Stress in Caregivers of Youth Hospitalized for Suicide Ideation or Attempt
    Valerie J. Micol, Alejandra Arango, Cheryl A. King, Ewa K. Czyz
    Behavior Therapy.2025; 56(1): 110.     CrossRef
  • Determinants of suicidal ideation and attempts among Thai adolescents: A mixed-effects modeling approach
    Sorif Hossain, Tonmoy Alam Shuvo, Nelufa Aktar
    Mental Health & Prevention.2025; 39: 200436.     CrossRef
  • Adolescent mental health and parent engagement in secondary school: A systematic review of the literature
    J. Povey, S. Austerberry, S. Plage, N. Xiang, M. Bellotti, J. Baxter
    International Journal of Educational Research.2025; 134: 102842.     CrossRef
  • Brief Report: The Association of Adverse Childhood Experiences and Suicide-Related Behaviors Among 10th-Grade Secondary School Students
    Daniel Núñez, Jorge Gaete, Viviana Guajardo, Nicolás Libuy, Ana María Araneda, Lorena Contreras, Paula Donoso, Carlos Ibañez, Adrian P. Mundt
    Archives of Suicide Research.2024; 28(1): 399.     CrossRef
  • Disclosures of self‐injurious thoughts and behaviors to parents in the context of adolescent therapy: A qualitative investigation
    Alexandra H. Bettis, Taylor A. Burke, Samantha R. Scott, Cara Bedock, Caroline Ambriano, Jordan Parrish, Destinee Marsh, Kathryn R. Fox
    Journal of Clinical Psychology.2024; 80(3): 537.     CrossRef
  • The effect of parent–adolescent discrepancies in reports of familial dysfunction and depression on suicidal ideation in adolescents
    Raney Sachs, Paul A. Nakonezny, Kennedy M. Balzen, Jessica Heerschap, Betsy D. Kennard, Graham J. Emslie, Sunita M. Stewart
    Suicide and Life-Threatening Behavior.2024; 54(3): 515.     CrossRef
  • Coping Strain and Suicidal Ideation Among Pakistani adolescents: A Moderated Mediation Model of Depression and Parental Connectedness
    Amna Tauqeer, Asfa Eman, Laraib Arif, Ammara Ali Bakhteyar, Sumara Masood Ul Hassan
    Pakistan Journal of Psychological Research.2024; 39(4): 851.     CrossRef
  • Family processes: Risk, protective and treatment factors for youth at risk for suicide
    Guy Diamond, Tamar Kodish, E. Stephanie Krauthamer Ewing, Quintin A. Hunt, Jody M. Russon
    Aggression and Violent Behavior.2022; 64: 101586.     CrossRef
  • How Worries about Interpersonal Relationships, Academic Performance, Family Support, and Classmate Social Capital Influence Suicidal Ideation among Adolescents in Japan
    Masato Nakano, Chiho Yamazaki, Hideta Teshirogi, Hidaka Kubo, Yunosuke Ogawa, Satomi Kameo, Ken Inoue, Hiroshi Koyama
    The Tohoku Journal of Experimental Medicine.2022; 256(1): 73.     CrossRef
  • Suicidal ideation in mothers of asthmatic children and adolescents in a subspecialty outpatient practice
    Auxiliadora Damianne Pereira Vieira da Costa, Leticia Marques dos Santos, Mércia Lamenha Medeiros, Camila Oliveira Hansen, Yasmin Cardoso Monteiro Formiga, Claudio Torres de Miranda
    Psico.2022; 53(1): e37342.     CrossRef
  • Parent-adolescent relationships and their associations with adolescent suicidal behaviours: Secondary analysis of data from 52 countries using the Global School-based Health Survey
    Sayedul Ashraf Kushal, Yahia Md Amin, Shusama Reza, Md Shajedur Rahman Shawon
    EClinicalMedicine.2021; 31: 100691.     CrossRef
  • Risk factors for suicide in psychiatric emergency patients in Beijing, China: A large cross-sectional study
    Yizhu Pan, Gang Wang, Hui Zhu, Xiao Ji, Jingyuan Li, Li Yin, Yuan Chen
    Psychiatry Research.2021; 304: 114067.     CrossRef
  • Self-esteem, perceived social support, social capital, and risk-behavior among urban high school adolescents in Nepal
    Ratna Shila Banstola, Tetsuya Ogino, Sachiko Inoue
    SSM - Population Health.2020; 11: 100570.     CrossRef
  • Adolescent suicide in South Korea: Risk factors and proposed multi-dimensional solution
    Chae Woon Kwak, Jeannette R. Ickovics
    Asian Journal of Psychiatry.2019; 43: 150.     CrossRef
  • Perceived parental support in childhood and adolescence and suicidal ideation in young adults: a cross-sectional analysis of the i-Share study
    Melissa Macalli, Marie Tournier, Cédric Galéra, Ilaria Montagni, Aicha Soumare, Sylvana M. Côté, Christophe Tzourio
    BMC Psychiatry.2018;[Epub]     CrossRef
  • 9,129 View
  • 100 Download
  • 16 Web of Science
  • 17 Crossref
Clinical Characteristics and Metabolic Health Status of Obese Korean Children and Adolescents
Sunyoung Chun, Saerom Lee, Hyo-Jae Son, Hye-Mi Noh, Hye-Young Oh, Han Byul Jang, Hye-Ja Lee, Jae-Heon Kang, Hong-Ji Song, Yu-Jin Paek, Kyung-Hee Park
Korean J Fam Med 2015;36(5):233-238.   Published online September 18, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.5.233
Background

This study aimed to determine the prevalence of metabolically healthy and unhealthy obesity (MHO and MUO, respectively) and examine the demographic, anthropometric, and lifestyle predictors of metabolic health status in Korean children and adolescents.

Methods

This study was based on data collected from the Korean Children-Adolescent Study in 2010. A total of 1,700 children (846 boys and 854 girls) were included in the primary cohort and classified into metabolically healthy and unhealthy groups according to factors related to the metabolic syndrome. Demographic and biochemical features were evaluated in study participants. Logistic regression estimated the odds ratios of having more fat mass among MUO compared with MHO children after adjusting for confounding factors.

Results

Mean body mass index was higher in the MUO group than in the MHO group (24.83 vs. 23.02 kg/m2, respectively). The proportion of obese participants was also higher in the MUO group (59.4%) than in the MHO group (20.7%). MHO children were more likely to have parents with better socioeconomic status and a higher fruit and vegetable intake compared with MUO children. Higher fat mass and percent fat was associated with MUO according to multiple logistic regression analysis.

Conclusion

Fat mass and percent fat are associated with metabolically healthy phenotypes of obesity among children and adolescents.

Citations

Citations to this article as recorded by  
  • Association Between Body Composition and Obesity Phenotypes in Children and Adolescents
    Yuying Deng, Miao Chen, Ziwei Huang, Xiaotong Liang, Shun Pan, Jiting Ji, Zehui Zhang, Jiayi Long, Li Liu
    Annals of the New York Academy of Sciences.2025; 1552(1): 326.     CrossRef
  • Risk factors, cutoff points, and definition of metabolically healthy/unhealthy obesity in children and adolescents: A scoping review of the literature
    Behnaz Abiri, Majid Valizadeh, Shirin Amini, Roya Kelishadi, Farhad Hosseinpanah
    Obesity Reviews.2023;[Epub]     CrossRef
  • Diagnostic accuracy of anthropometric indices for metabolically healthy obesity in child and adolescent population
    José-Miguel Guzmán-García, Manuel Romero-Saldaña, Guillermo Molina-Recio, Francisco-Javier Fonseca-del Pozo, Elena Raya-Cano, Rafael Molina-Luque
    Pediatric Research.2023; 94(5): 1824.     CrossRef
  • Associations of Fruit and Vegetable Intake with Metabolic Health Status in Overweight and Obese Youth
    Shahnaz Amani Tirani, Saeideh Mirzaei, Ali Asadi, Foad Asjodi, Orod Iravani, Masoumeh Akhlaghi, Parvane Saneei
    Annals of Nutrition and Metabolism.2023; 79(4): 361.     CrossRef
  • Obesity and Metabolic Dysregulation in Children Provide Protective Influenza Vaccine Responses
    Mundeep K. Kainth, Joanna S. Fishbein, Teresa Aydillo, Alba Escalera, Rachael Odusanya, Kalliopi Grammatikopoulos, Tiffany Scotto, Christine B. Sethna, Adolfo García-Sastre, Clifford S. Deutschman
    Viruses.2022; 14(1): 124.     CrossRef
  • Metabolically healthy obesity in a paediatric obesity clinic
    Diana Teixeira, Cátia Martins, Guiomar Oliveira, Raquel Soares
    Journal of Pediatric Endocrinology and Metabolism.2022; 35(9): 1147.     CrossRef
  • Association between major dietary patterns and metabolic health status in overweight and obese adolescents
    Saeideh Mirzaei, Parvane Saneei, Ali Asadi, Awat Feizi, Gholamreza Askari, Masoumeh Akhlaghi
    Nutrition.2022; 103-104: 111793.     CrossRef
  • Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
    Shan Cai, Jiajia Dang, Panliang Zhong, Ning Ma, Yunfei Liu, Di Shi, Zhiyong Zou, Yanhui Dong, Jun Ma, Yi Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Dairy intake in relation to metabolic health status in overweight and obese adolescents
    Shahnaz Amani Tirani, Saeideh Mirzaei, Ali Asadi, Masoumeh Akhlaghi, Parvane Saneei
    Scientific Reports.2022;[Epub]     CrossRef
  • Association of Serum 25-Hydroxyvitamin D Level With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study
    Haleh Esmaili, Ramin Heshmat, Hanieh-Sadat Ejtahed, Hadith Rastad, Mohammad Esmaeil Motlagh, Hamid Asayesh, Marzieh Jafarnejad, Ehsan Seif, Mostafa Qorbani, Roya Kelishadi
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Abnormal Metabolic Phenotypes Among Urban Chinese Children: Epidemiology and the Impact of DXA‐Measured Body Composition
    Fangfang Chen, Junting Liu, Yinkun Yan, Jie Mi
    Obesity.2019; 27(5): 837.     CrossRef
  • OBESITÀ SANA: REALTÀ O ILLUSIONE?
    Paolo Sbraccia, Valeria Guglielmi
    il Diabete.2019; 31(N. 2, giug): 93.     CrossRef
  • Children With Metabolically Healthy Obesity: A Review
    Rade Vukovic, Tiago Jeronimo Dos Santos, Marina Ybarra, Muge Atar
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Prevalence and predictors of metabolically healthy obesity in adolescents: findings from the national “Jeeluna” study in Saudi-Arabia
    Lara Nasreddine, Hani Tamim, Aurelie Mailhac, Fadia S. AlBuhairan
    BMC Pediatrics.2018;[Epub]     CrossRef
  • Defining metabolically healthy obesity in children: a scoping review
    S. Damanhoury, A. S. Newton, M. Rashid, L. Hartling, J. L. S. Byrne, G. D. C. Ball
    Obesity Reviews.2018; 19(11): 1476.     CrossRef
  • Serum Uric Acid Levels as an Indicator for Metabolically Unhealthy Obesity in Children and Adolescents
    Edrienny Patrícia Alves Accioly Rocha, Mandy Vogel, Juraj Stanik, Diana Pietzner, Anja Willenberg, Antje Körner, Wieland Kiess
    Hormone Research in Paediatrics.2018; 90(1): 19.     CrossRef
  • Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities
    Camelia E. Hostinar, Kharah M. Ross, Edith Chen, Gregory E. Miller
    Psychosomatic Medicine.2017; 79(5): 514.     CrossRef
  • Metabolically healthy obesity across the life course: epidemiology, determinants, and implications
    Catherine M. Phillips
    Annals of the New York Academy of Sciences.2017; 1391(1): 85.     CrossRef
  • Differences between Metabolically Healthy vs Unhealthy Obese Children and Adolescents
    Aditi Khokhar, Vivian Chin, Sheila Perez-Colon, Tanni Farook, Shipra Bansal, Elna Kochummen, Vatcharapan Umpaichitra
    Journal of the National Medical Association.2017; 109(3): 203.     CrossRef
  • Risk factors that affect metabolic health status in obese children
    Selin Elmaogullari, Fatma Demirel, Nihal Hatipoglu
    Journal of Pediatric Endocrinology and Metabolism.2017;[Epub]     CrossRef
  • 6,351 View
  • 32 Download
  • 20 Web of Science
  • 20 Crossref
The Cutoff Value of Waist Circumference for Predicting Metabolic Risks in Pre- and Post-Menopausal Korean Women: Analysis of 2010 Korean National Health and Nutrition Examination Survey Data
Ok-Gyu Lee, Yang-Im Hur, Jae-Heon Kang, Hyun-Ah Park, Kyoung-Woo Kim, Young-Gyu Cho, Won-Young Choi, Hyesook Park, Hye-Ah Lee
Korean J Fam Med 2013;34(5):307-318.   Published online September 26, 2013
DOI: https://doi.org/10.4082/kjfm.2013.34.5.307
Background

With metabolic syndrome (MS) being a major risk factor for cardiovascular disease, and central obesity being a major predisposing factor for MS, intensive research is currently being performed on cutoff values according to race and sex. Menopause is an especially significant factor in designating cutoff values for female central obesity, as menopause brings sudden bodily changes that induce central obesity and increased prevalence of MS. Therefore this study aimed to investigate the cutoff values for the obesity index and its validity in predicting the criteria for MS in Korean women according to menstrual status.

Methods

The study focused on 3,103 women 20 years of age or older participating in the 2007 Korea National Health and Nutrition Examination Survey. Definitions of non-adipose components of MS were defined by the International Diabetes Federation, and menstrual status was judged on the basis of survey results. The sensitivity, specificity, and positive and negative predictive values of the central obesity index (body mass index [BMI], waist circumference [WC], waist-to-height ratio [WHtR]) according to menstrual status for two or more non-adipose components of MS were calculated based on the Youden index.

Results

Area under the curve (AUC) values predicting the presence of two or more metabolic risk factors were higher in pre-menopausal women, with AUC values for BMI, WC, and WHtR being, in pre- and post-menopausal women, 23.1 kg/m2 vs. 23.9 kg/m2, 76.1 cm vs. 82.5 cm, and 0.49 vs. 0.53, respectively. The WC cut off (76 cm) for pre-menopausal women was found to be more sensitive and more effective at screening for MS risks than the cutoff value given by the Korea Society for the Study of Obesity.

Conclusion

The central obesity index showed better predictability for MS risk in pre-menopausal women. Because the central obesity index cutoff values are lower in pre-menopausal women, the possibility of metabolic risk can be considered for pre-menopausal women with WC lower than 85 cm. Assessment and control of other risks are needed accordingly for preventing the development of MS.

Citations

Citations to this article as recorded by  
  • Abdominal Obesity Increases the Risk for Depression by Sex: A Nationwide Cohort Study in South Korea
    Soobin Jo, Kyung-do Han, Juhwan Yoo, Dong Wook Shin, Hyewon Kim, Hong Jin Jeon
    Psychiatry Investigation.2024; 21(12): 1398.     CrossRef
  • Comparison of anthropometric indices for the screening of nonalcoholic fatty liver disease in pre- and postmenopausal women
    So-hyeon Hong, Soon Young Hwang, Jung A. Kim, You-Bin Lee, Eun Roh, Nam Hoon Kim, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Menopause.2020; 27(1): 88.     CrossRef
  • Association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein and neutrophil-to-lymphocyte ratio in middle-aged and older adults with metabolic syndrome in Taiwan: a cross-sectional study
    Ahmad Syauqy, Chien-Yeh Hsu, Hsiao-Hsien Rau, Jane C.-J. Chao
    Nutrition Journal.2018;[Epub]     CrossRef
  • The “Jolly Fat” Effect in Middle-Aged Korean Women
    Gyeyoon Yim, Younjhin Ahn, Juhee Cho, Yoosoo Chang, Seungho Ryu, Joong-Yeon Lim, Hyun-Young Park
    Journal of Women's Health.2017; 26(11): 1236.     CrossRef
  • Optimal Cutoffs of Cardiometabolic Risk for Postmenopausal Korean Women
    Hye-Ryoung Kim, Hee-Seung Kim
    Asian Nursing Research.2017; 11(2): 107.     CrossRef
  • The Relationship Between Cardiorespiratory Fitness and Aortic Stiffness in Women with Central Obesity
    Jacqueline A. Augustine, Eun Sun Yoon, Jina Choo, Kevin S. Heffernan, Sae Young Jae
    Journal of Women's Health.2016; 25(7): 680.     CrossRef
  • Optimal Cutoff Points of Anthropometric Parameters to Identify High Coronary Heart Disease Risk in Korean Adults
    Sang Hyuck Kim, Hyunrim Choi, Chang Won Won, Byung-Sung Kim
    Journal of Korean Medical Science.2016; 31(1): 61.     CrossRef
  • Optimal Waist Circumference Cutoff Values for the Diagnosis of Abdominal Obesity in Korean Adults
    Yeong Sook Yoon, Sang Woo Oh
    Endocrinology and Metabolism.2014; 29(4): 418.     CrossRef
  • 7,838 View
  • 31 Download
  • 8 Crossref
Socioeconomic Indicators Associated with Initiation and Cessation of Smoking among Women in Seoul
Yu-Na Kim, Young-Gyu Cho, Cheol-Hwan Kim, Jae-Heon Kang, Hyun-Ah Park, Kyoung-Woo Kim, Yang-Im Hur, Su-Hyun Lee, Yun-Min Na, No-Yai Park
Korean J Fam Med 2012;33(1):1-8.   Published online January 31, 2012
DOI: https://doi.org/10.4082/kjfm.2012.33.1.1
Background

While smoking prevalence in Korean men has been decreasing, it is increasing in Korean women. Little is known about women's smoking inequalities in Korea. This study was conducted to investigate the association of socioeconomic indicators with the initiation and cessation of smoking among Korean women.

Methods

This was a cross-sectional study on 9,089 women aged 25-64 years from the 2008 Seoul Community Health Survey. The data on smoking and socioeconomic status were obtained through face-to-face interviews. Smoking initiation rate was defined as the proportion of the individuals who had started smoking at least one cigarette among all subjects. Smoking cessation rate was calculated by dividing the number of individuals who had quit smoking by the number of ever smokers. Education level, total family income and occupation were investigated as socioeconomic indicators.

Results

Education level was significantly associated with both initiation and cessation of smoking. Lower educated women had a higher likelihood of smoking initiation (odds ratio [OR], 1.72; 95% confidence interval [CI], 1.17 to 2.51) but lower likelihood of smoking cessation (OR, 0.38; 95% CI, 0.22 to 0.66) than higher educated women. Smoking initiation rate was higher in manual workers (OR, 1.65; 95% CI, 1.20 to 2.27) than in non-manual workers. However, there were no significant differences of both initiation and cessation of smoking according to total household income.

Conclusion

This study shows that there are smoking inequalities among Korean women. It is thought that education level and occupation are important determinants of women's smoking status.

Citations

Citations to this article as recorded by  
  • The smoking spectrum: review of the existing evidence and future directions
    Garbis A. Meshefedjian
    Journal of Public Health.2020; 28(1): 105.     CrossRef
  • Cigarette Smoking in South Korea: A Narrative Review
    Rebekah Gunter, Edwin Szeto, Se-Hoon Jeong, Sooyeon Suh, Andrew J. Waters
    Korean Journal of Family Medicine.2020; 41(1): 3.     CrossRef
  • Women’s Smoking: Relationships Among Emotional Labor, Occupational Stress, and Health Promotion
    Sunjoo Boo, Hyunjin Oh
    Workplace Health & Safety.2019; 67(7): 361.     CrossRef
  • Factors associated with smoking cessation
    Samires Avelino de Souza França, Ana Ligian Feitosa das Neves, Tatiane Andressa Santos de Souza, Nandara Celana Negreiros Martins, Saul Rassy Carneiro, Edilene do Socorro Nascimento Falcão Sarges, Maria de Fátima Amine Houat de Souza
    Revista de Saúde Pública.2015;[Epub]     CrossRef
  • A History of Ashes: An 80 Year Comparative Portrait of Smoking Initiation in American Indians and Non-Hispanic Whites—the Strong Heart Study
    Raymond Orr, Darren Calhoun, Carolyn Noonan, Ron Whitener, Jeff Henderson, Jack Goldberg, Patrica Henderson
    International Journal of Environmental Research and Public Health.2013; 10(5): 1747.     CrossRef
  • Predictors of long-term smoking cessation: results from the global adult tobacco survey in Poland (2009–2010)
    Dorota Kaleta, Przemysław Korytkowski, Teresa Makowiec-Dąbrowska, Bukola Usidame, Leokadia Bąk-Romaniszyn, Adam Fronczak
    BMC Public Health.2012;[Epub]     CrossRef
  • 6,337 View
  • 29 Download
  • 6 Crossref
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