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"Sunyoung Chun"

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"Sunyoung Chun"

Original Articles
Differences in Factors Associated with Albuminuria according to Gender and Comorbidities of Hypertension and Diabetes
Miae Jang, Sohee Oh, Hye-Mi Noh, Sunyoung Chun, Hye young Oh, Kyung Hee Park, Yu Jin Paek, Hong Ji Song
Korean J Fam Med 2015;36(6):316-322.   Published online November 20, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.6.316
Background

This study examined the differences in factors associated with albuminuria according to gender and comorbidities of hypertension (HTN) and diabetes mellitus (DM).

Methods

We included 3,859 participants aged 20 to 79 years (55% female) from the 5th Korea National Health and Nutrition Examination Survey. Participants were excluded if they took antihypertensive or anti-diabetic medication, had chronic renal failure, had malignant tumor, were pregnant or menstruating during the health examination, or had missing urine albumin data. Albuminuria was defined by the participant's urine albumin-creatinine ratio (uACR). Relationships between dependent and independent variables were analyzed using the Pearson's correlation test and simple linear regression. Due to possible muticollinearity, multiple linear regression analysis was used to determine whether the association between the dependent and independent variables of interest remained significant after adjustment for other potentially confounding independent variables.

Results

The variables significantly correlated with uACR were different between the genders and between subjects with HTN or DM as a comorbidity. In the multiple linear regression models, hemoglobin A1c (P=0.01) was positively associated with uACR in men without HTN and DM. In men with HTN or DM, systolic blood pressure and fasting glucose (P<0.01) were positively associated with uACR. In women with HTN or DM, waist circumference (P=0.011) and gamma-glutamyl transpeptidase (P<0.001) were positively correlated with uACR (P<0.05) and glucose level (P=0.019) was negatively correlated with uACR.

Conclusion

The study suggested factors correlated with albuminuria were different for men and women according to comorbidities such as HTN and DM.

Citations

Citations to this article as recorded by  
  • Lifestyle Adherence and Metabolic Control in Adults with Type 2 Diabetes: Development of a Lifestyle Compliance Index
    Bianca-Lăcrimioara Petca, Paula-Alexandra Popovici, Andreea Diana Igna, Timea Claudia Ghitea, Mihaela Simona Popoviciu
    Diagnostics.2026; 16(18): 3068.     CrossRef
  • Sex-Specific Predictors of Microalbuminuria in Type 2 Diabetes: A Cross-Sectional Study
    Eun Sook Bae, Hye Seung Kang
    Korean Journal of Adult Nursing.2025; 37(3): 287.     CrossRef
  • High prevalence of albuminuria among adult males living with HIV in Botswana
    Mosepele Mosepele, Ponego Ponatshego, Kesaobaka Molebatsi, Christopher Williams, Lucky Mokgatlhe, Shahin Lockman, Nabila Youssouf, Robert Gross, Joseph Jarvis, Duolao Wang, Shabbar Jaffar
    Scientific Reports.2024;[Epub]     CrossRef
  • Relationship between serum and tear levels of tissue plasminogen activator and plasminogen activator inhibitor-1 in diabetic retinopathy
    Nurbadriah binti Jasmiad, Rohana binti Abd Ghani, Renu Agarwal, Zaliha binti Ismail, Azlindarita Aisyah Mohd Abdullah, Mohd Yusri Idorus
    BMC Ophthalmology.2022;[Epub]     CrossRef
  • Prevalence of micro albuminuria and diagnostic accuracy of urine dipstick for the screening of diabetic nephropathy in type 2 diabetes patients
    Sindhu Varghese, S. Gowtham Kumar
    Biocatalysis and Agricultural Biotechnology.2019; 21: 101316.     CrossRef
  • Differential Association of Vitamin D Deficiency With Albuminuria by Sex in the Korean General Population: A Cross-sectional Study of the Korea National Health and Nutrition Examination Survey 2011-2012
    Yongwoo Jeon, Jaeyong Shin, Jong Hyun Jhee, Youngdae Cho, Eun-Cheol Park
    Journal of Preventive Medicine and Public Health.2018; 51(2): 92.     CrossRef
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  • 26 Download
  • 4 Web of Science
  • 6 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
  • 6,663 View
  • 36 Download
  • 20 Web of Science
  • 20 Crossref
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