• KAFM
  • Contact us
  • E-Submission
ABOUT
ARTICLE CATEGORY
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

3
results for

"Hong-Ji Song"

Filter

Article category

Keywords

Publication year

Authors

Funded articles

"Hong-Ji Song"

Original Articles
Association between Falls and Nutritional Status of Community-Dwelling Elderly People in Korea
Ah-Ra Jo, Mi-Jeong Park, Byung-Gue Lee, Young-Gyun Seo, Hong-Ji Song, Yu-Jin Paek, Kyung-Hee Park, Hye-Mi Noh
Korean J Fam Med 2020;41(2):111-118.   Published online March 19, 2020
DOI: https://doi.org/10.4082/kjfm.18.0112
Background
Malnutrition is a well-known risk factor of falls, although studies examining the association between nutritional status and falls are rare. We aimed to investigate the association between nutritional status and falls according to gender among Korean older adults.
Methods
The study included 10,675 participants (4,605 men and 6,070 women) aged 65 years and older and used data from the 2011 Survey of Living Conditions and Welfare Needs of Korean Older Persons. Nutritional status of the participants was assessed using the Nutritional Screening Initiative checklist, and the participants were categorized into the following groups: “good,” “moderate nutritional risk,” and “high nutritional risk.” Odds ratios (OR) of fall risk in the above groups based on gender were evaluated using multivariate logistic regression analyses.
Results
Fallers in both genders showed significant association with older age, lower household income, inadequate exercise, and poor nutritional status compared with non-fallers. Considering the good nutritional status group as the reference group, the high nutritional risk group showed a higher risk of falls in men (OR, 1.59; 95% confidence interval [CI], 1.26–1.99); both moderate and high nutritional risk groups showed a higher risk of falls after adjusting for confounding factors in women (OR, 1.39; 95% CI, 1.19–1.62 and OR, 1.90; 95% CI, 1.61–2.24, respectively).
Conclusion
The risk of falls was associated with poor nutritional status, and statistical significance of the association between nutritional status and falls was stronger in women than in men.

Citations

Citations to this article as recorded by  
  • Mapping sex and gender differences in falls among older adults: A scoping review
    Crista Sebastiani, Jamie Yee Xin Wong, Amandeep Litt, Julia Loewen, Karly Reece, Nicole Conlin, Tessa Dunand, Manuel Montero Odasso, Cassandra D'Amore, Stephanie Saunders, Marla Beauchamp
    Journal of the American Geriatrics Society.2024; 72(3): 903.     CrossRef
  • Temporal trends and the association between self-rated oral health and falls in community-dwelling older adults in South Korea: a secondary analysis of survey data
    Hyun-Ju Seo, Soon-Ki Ahn, Min-Jung Choi
    BMJ Open.2024; 14(4): e081549.     CrossRef
  • Age and Gender Differences in Fall-Related Factors Affecting Community-Dwelling Older Adults
    Minhee SUH, Da Hye KIM, Insook CHO, Ok Kyung HAM
    Journal of Nursing Research.2023; 31(2): e270.     CrossRef
  • Development of a protein energy malnutrition screening tool for older Thais in public residential homes
    Thitima Phodhichai, Warapone Satheannoppakao, Mathuros Tipayamongkholgul, Carol Hutchinson, Siriphan Sasat
    Public Health Nutrition.2022; 25(3): 565.     CrossRef
  • Current status of nutrient intake in Korea: focused on macronutrients
    Seung-Won Oh
    Journal of the Korean Medical Association.2022; 65(12): 801.     CrossRef
  • 7,671 View
  • 118 Download
  • 5 Web of Science
  • 5 Crossref
Association between Physical Fitness and Cardiometabolic Risk of Children and Adolescents in Korea
Hyun-Suk Lee, Won-Wook Jeong, Yu-Jeong Choi, Young-Gyun Seo, Hye-Mi Noh, Hong-Ji Song, Yu-Jin Paek, Yoon-Myung Kim, Hyun-Jung Lim, Hye-Ja Lee, Han-Byul Jang, Sang-Ick Park, Kyung-Hee Park
Korean J Fam Med 2019;40(3):159-164.   Published online November 23, 2018
DOI: https://doi.org/10.4082/kjfm.17.0085
Background
This study aimed to investigate the association between physical fitness and cardiometabolic health of Korean children and adolescents.
Methods
In total, 168 participants (89 boys and 79 girls) aged 10–16 years were recruited for the Intervention for Childhood and Adolescent Obesity via Activity and Nutrition Study in 2016. The subjects were categorized into two groups using the definition of metabolic syndrome by the International Diabetes Federation: metabolically unhealthy (with at least two of the five criteria) and healthy groups (with less than one criterion). Correlation analysis of the participants’ general characteristics was performed. Odds ratios (ORs) of physical fitness for cardiometabolic risk were evaluated via logistic regression.
Results
Metabolically unhealthy children showed greater weight, height, and body mass index, higher Children’s Depression Inventory score, and longer screen time than did the metabolically healthy children. Metabolically healthy children showed greater upper and lower extremity muscular strength than did the metabolically unhealthy children (P=0.04 and P<0.001, respectively). In the multiple logistic regression analysis, lower extremity muscle strength was inversely related to the clustered cardiometabolic risk of the children and adolescents with or without adjustment for confounders (OR, 4.32; 95% confidence interval [CI], 1.87–9.97; OR, 7.64; 95% CI, 1.55– 37.74, respectively).
Conclusion
Physical fitness, especially lower extremity muscle strength, is significantly inversely associated with individual and clustered cardiometabolic risks in Korean children and adolescents.

Citations

Citations to this article as recorded by  
  • Profiles of Physical Fitness Among Youth with Intellectual Disabilities: A Longitudinal Person-Centered Investigation
    Christophe Maïano, Alexandre J. S. Morin, Olivier Hue, Danielle Tracey, Rhonda G. Craven
    Journal of Autism and Developmental Disorders.2025;[Epub]     CrossRef
  • Identification of biomarkers related to metabolically healthy or unhealthy obesity in children and adolescents with depressive disorders: a cross-sectional study
    Zhiwei Liu, Liang Sun, Fengshun Li, Tengjiao Liu, XingLong Yin, Jingjing Zhang, Nana Sun, Yulong Zhang, Gaofeng Yao, Yun Liu
    Scientific Reports.2025;[Epub]     CrossRef
  • Supervised Machine Learning Algorithms for Fitness-Based Cardiometabolic Risk Classification in Adolescents
    Rodrigo Yáñez-Sepúlveda, Rodrigo Olivares, Pablo Olivares, Juan Pablo Zavala-Crichton, Claudio Hinojosa-Torres, Frano Giakoni-Ramírez, Josivaldo de Souza-Lima, Matías Monsalves-Álvarez, Marcelo Tuesta, Jacqueline Páez-Herrera, Jorge Olivares-Arancibia, To
    Sports.2025; 13(8): 273.     CrossRef
  • Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort
    Mohammad Redwanul Islam, Christine Delisle Nyström, Maria Kippler, Eero Kajantie, Marie Löf, Syed Moshfiqur Rahman, Eva-Charlotte Ekström
    Journal of Epidemiology and Global Health.2024; 14(3): 987.     CrossRef
  • Metabolic syndrome and its association with physical activity in Sudanese early adolescents – Khartoum state, Sudan: An observational study
    Fatima A. Elfaki, Aziza I. G. Mukhayer, Mohamed E. Moukhyer, Rama M. Chandika, Husameldin E. Khalafalla, Stef P. J. Kremers
    Medicine.2024; 103(23): e38242.     CrossRef
  • Effect of a physical exercise program supported by wearable technology in children with drug-resistant epilepsy. A randomized controlled trial
    Salvador Ibañez-Micó, Rosa Gil-Aparicio, Antonia Gómez-Conesa
    Seizure: European Journal of Epilepsy.2024; 121: 56.     CrossRef
  • Correlation of anthropometric characteristics and movement behavior with lower extremity muscle power and dynamic knee valgus in adolescent basketball athletes
    Aleksandar STOJILJKOVIC, Eleni KARAGIANNI, Antoniou VARSAMO, Ladislav BATALIK, Garyfallia PEPERA
    The Journal of Sports Medicine and Physical Fitness.2024;[Epub]     CrossRef
  • Analysis of gross motoric analysis of elementary school students: A comparative study of students in hill and coastal areas
    Y Touvan Juni Samodra, Didi Suryadi, Isti Dwi Puspita Wati, Eka Supriatna, I Gusti Putu Ngurah Adi Santika, Mikkey Anggara Suganda, Putu Citra Permana Dewi
    Pedagogy of Physical Culture and Sports.2023; 27(2): 139.     CrossRef
  • Muscular Fitness and Cardiometabolic Variables in Children and Adolescents: A Systematic Review
    Tiago Rodrigues de Lima, Priscila Custódio Martins, Yara Maria Franco Moreno, Jean-Philippe Chaput, Mark Stephen Tremblay, Xuemei Sui, Diego Augusto Santos Silva
    Sports Medicine.2022; 52(7): 1555.     CrossRef
  • Neck circumference and cardiometabolic risk in children and adolescents: the moderator role of cardiorespiratory fitness
    Ana Paula Sehn, Caroline Brand, Letícia Welser, Anelise Reis Gaya, Cesar Agostinis-Sobrinho, Carlos Cristi-Montero, Elza Daniel de Mello, Cézane Priscila Reuter
    BMC Pediatrics.2021;[Epub]     CrossRef
  • Physical fitness as a moderator in the relationship between adiposity and cardiometabolic risk factors in children and adolescents
    Caroline Brand, Ana P. Sehn, Anelise R. Gaya, Jorge Mota, Javier Brazo-Sayavera, Jane D. Renner, Cézane P. Reuter
    The Journal of Sports Medicine and Physical Fitness.2020;[Epub]     CrossRef
  • 10,329 View
  • 187 Download
  • 12 Web of Science
  • 11 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
  • 5,461 View
  • 30 Download
  • 20 Web of Science
  • 20 Crossref
TOP