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"Saerom Lee"

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"Saerom Lee"

Original Articles
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
  • 6,092 View
  • 31 Download
  • 20 Web of Science
  • 20 Crossref
Time to First Cigarette and Hypertension in Korean Male Smokers
Saerom Lee, Miae Jang, Hye-Mi Noh, Hye-Young Oh, Hong Ji Song, Kyung Hee Park, Yu-Jin Paek
Korean J Fam Med 2015;36(5):221-226.   Published online September 18, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.5.221
Background

Morning blood pressure surge affects to cardiovascular disease risk. Short time to first cigarette (TTFC) after waking can enhance morning blood pressure surge, and accelerate atherosclerosis

Methods

We investigated that the relationship between TTFC and blood pressure. The study subjects included male current smokers (n=211) who had health check-up in Hallym University Sacred Heart Hospital from July to September, 2014. We categorized the subjects into 2 groups according to TTFC; early TTFC (TTFC <30 minutes) and late TTFC (TTFC ≥30 minutes), and the subjects who were taking antihypertensive medications or had a high blood pressure (>140 mm Hg or 90 mm Hg) were defined as hypertensive group. Multivariate logistic regression was performed to estimate the odds ratio and 95% confidence interval to investigate the association between TTFC and hypertensive group.

Results

Compared with late TTFC, early TTFC had higher odds (odds ratio [OR], 3.87; 95% confidence interval [CI], 1.89-7.94) for hypertensive group. After adjusting confounding factors, early TTFC was significantly associated with an increased risk of hypertension (OR, 4.43; 95% CI, 1.84-10.70).

Conclusion

early TTFC after waking is associated with hypertension. It suggests delaying TTFC might help to control of blood pressure among the current smokers who are not ready to immediately quit smoking.

Citations

Citations to this article as recorded by  
  • Association of smoking behavior and time to first cigarette with all-cause and cause-specific mortality: A cohort analysis from the NHANES 2001–2018
    Naiyue Bao, Jiacan Wu, Zhuo Li, Fenglin Qi, Guanghong Tao, Chengcheng Li, Hua Xiao
    Tobacco Induced Diseases.2026; 24(February): 1.     CrossRef
  • Smoking Timing, Healthy Diet, and Risk of Incident CKD Among Smokers: Findings From UK Biobank
    Rui Tang, Ying Hu, Jian Zhou, Xuan Wang, Xiang Li, Yoriko Heianza, Lu Qi
    American Journal of Kidney Diseases.2024; 84(5): 593.     CrossRef
  • Time from waking to the first cigarette and mortality and incident cardiovascular disease
    Yanzhi Li, Wenjian Lai, Hao Zhao, Xiali Zhong, Lan Guo
    Journal of Public Health.2024; 46(4): 487.     CrossRef
  • Alcohol and Nicotine Dependence and Time to Death in a General Adult Population: A Mortality Cohort Study
    Ulrich John, Hans-Jürgen Rumpf, Monika Hanke, Christian Meyer
    European Addiction Research.2023; 29(6): 394.     CrossRef
  • Time to First Cigarette and the Risk of Hypertension: A Nationwide Representative Study in Korea
    Jinok Bae, Yu Hyeon Yi, Yun Jin Kim, Jeong Gyu Lee, Young Jin Tak, Seung Hoon Lee, Hye Rim Hwang, Sang Yeoup Lee, Young Hye Cho, Ei Jin Ro
    American Journal of Hypertension.2019; 32(2): 202.     CrossRef
  • Comments on Statistical Issues in November 2015
    Kyung Do Han, Yong Gyu Park
    Korean Journal of Family Medicine.2015; 36(6): 357.     CrossRef
  • 6,066 View
  • 28 Download
  • 6 Web of Science
  • 6 Crossref
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