Diabetes & Metabolism Journal

Original Articles

Clinical Care/Education
Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus: So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim; Diabetes Metab J. 2018;42(5):380-393. Published online June 29, 2018; DOI: https://doi.org/10.4093/dmj.2017.0102

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Background

The aim of the study was to assess the impact of socioeconomic status (SES) on health behaviors, metabolic control, and chronic complications in people with type 2 diabetes mellitus (T2DM) from South Korea, a country with universal health insurance coverage and that has experienced rapid economic and social transition.

Methods

A total of 3,294 Korean men and women with T2DM aged 30 to 65 years, participating in the Korean National Diabetes Program (KNDP) cohort who reported their SES and had baseline clinical evaluation were included in the current cross-sectional analysis. SES included the level of education and monthly household income.

Results

Lower education level and lower income level were closely related, and both were associated with older age in men and women. Women and men with lower income and education level had higher carbohydrate and lower fat intake. After adjustment for possible confounding factors, higher education in men significantly lowered the odds of having uncontrolled hyperglycemia (glycosylated hemoglobin ≥7.5%) (odds ratio [OR], 0.63; 95% confidence interval [CI], 0.43 to 0.91 for highest education; P_trend=0.048), while higher household income in men significantly lowered the odds of having diabetic retinopathy (OR, 0.59; 95% CI, 0.37 to 0.95 for highest income level; P_trend=0.048). In women, lower income was associated with a higher stress level.

Conclusion

Men with lower SES had higher odds of having diabetic retinopathy and uncontrolled hyperglycemia, showing the need to improve care targeted to this population.

Citations

Citations to this article as recorded by

A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus
Laleh Gharacheh, Mostafa Amini-Rarani, Amin Torabipour, Saeed Karimi
International Journal of Preventive Medicine.2024;[Epub] CrossRef
Socioeconomic status and the effect of prolonged pandemic confinement on anthropometric and glycaemic outcomes in adults with type 2 diabetes mellitus
Chandana Wijeweera, Ummul Muhfaza, Reginald V. Lord, Peter Petocz, Juliana Chen, Veronica Preda
Primary Care Diabetes.2024; 18(3): 308. CrossRef
Income variability and incident cardiovascular disease in diabetes: a population-based cohort study
Yong-Moon Mark Park, Jong-Ha Baek, Hong Seok Lee, Tali Elfassy, Clare C Brown, Mario Schootman, Marie-Rachelle Narcisse, Seung-Hyun Ko, Pearl A McElfish, Michael R Thomsen, Benjamin C Amick, Seong-Su Lee, Kyungdo Han
European Heart Journal.2024; 45(21): 1920. CrossRef
Temporal trends in the visual impairment burden attributable to high fasting plasma glucose levels: a population-based study
Jianqi Chen, Xiaohong Chen, Zhidong Li, Xuhao Chen, Shaofen Huang, Guitong Ye, Rui Xie, Ruiyu Luo, Yuan Zhang, Xinyue Shen, Yehong Zhuo, Shengsong Huang, Yiqing Li, Yingting Zhu
Acta Diabetologica.2024; 61(9): 1151. CrossRef
Association of diet quality with glycemia, insulinemia, and insulin resistance in families at high risk for type 2 diabetes mellitus in Europe: Feel4 Diabetes Study
Botsi E, Karatzi K, Mavrogianni C, Kaloyan Tsochev, Esther M González-Gil, Radó S, Kivelä J, Wikström K, Cardon G, Rurik I, Liatis S, Tsvetalina Tankova, Violeta Iotova, Luis A. Moreno, Makrillakis K, Manios Y, Tsigos C
Nutrition.2023; 105: 111805. CrossRef
Sustained Low Income, Income Changes, and Risk of All-Cause Mortality in Individuals With Type 2 Diabetes: A Nationwide Population-Based Cohort Study
Hong Seok Lee, Jimin Clara Park, Inkwan Chung, Junxiu Liu, Seong-Su Lee, Kyungdo Han
Diabetes Care.2023; 46(1): 92. CrossRef
Association of birth weight with risk of diabetes mellitus in adolescence and early adulthood: analysis of the Indonesian Family Life Survey
Ratu Ayu Dewi Sartika, Fathimah Sulistyowati Sigit, Edy Purwanto, Norliyana Aris, Avliya Quratul Marjan, Wahyu Kurnia Yusrin Putra, Sutanto Priyo Hastono
Annals of Pediatric Endocrinology & Metabolism.2023; 28(4): 267. CrossRef
Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey
Chang Kyun Choi, Jungho Yang, Ji-An Jeong, Min-Ho Shin
International Journal of Environmental Research and Public Health.2022; 19(23): 15781. CrossRef
FOLLOW-UP ADHERENCE IN PATIENTS WITH NONPROLIFERATIVE DIABETIC RETINOPATHY PRESENTING TO AN OPHTHALMIC EMERGENCY DEPARTMENT
Arjun Watane, Meghana Kalavar, Elizabeth A. Vanner, Kara Cavuoto, Jayanth Sridhar
Retina.2021; 41(6): 1293. CrossRef
Socioeconomic disparity in global vision loss burden due to diabetic retinopathy: an analysis on time trends from 1990 to 2017
Yi Shan, Yufeng Xu, Lingxia Ye, Xiling Lin, Yaoyao Chen, Qi Miao, Juan Ye
Endocrine.2021; 73(2): 316. CrossRef
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Şuheda ÜSTÜNDAĞ, Nuray DAYAPOĞLU
Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi.2021; 5(3): 514. CrossRef
Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners
Batoul Safieddine, Stefanie Sperlich, Johannes Beller, Karin Lange, Jelena Epping, Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer
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Thirteen-year trends in the prevalence of diabetes according to socioeconomic condition and cardiovascular risk factors in a Swiss population
Carlos de Mestral, Silvia Stringhini, Idris Guessous, François R Jornayvaz
BMJ Open Diabetes Research & Care.2020; 8(1): e001273. CrossRef
Dietary Habits and Dietary Antioxidant Intake Are Related to Socioeconomic Status in Polish Adults: A Nationwide Study
Małgorzata Elżbieta Zujko, Anna Waśkiewicz, Wojciech Drygas, Alicja Cicha-Mikołajczyk, Kinga Zujko, Danuta Szcześniewska, Krystyna Kozakiewicz, Anna Maria Witkowska
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Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
Diabetes & Metabolism Journal.2019; 43(4): 487. CrossRef
Gender in Endocrine Diseases: Role of Sex Gonadal Hormones
R. Lauretta, M. Sansone, A. Sansone, F. Romanelli, M. Appetecchia
International Journal of Endocrinology.2018; 2018: 1. CrossRef

R1467H Variants of Rho Guanine Nucleotide Exchange Factor 11 (ARHGEF11) are Associated with Type 2 Diabetes Mellitus in Koreans: Qing Song Jin, So Hun Kim, Shan-Ji Piao, Hyun Ae Lim, Seung Youn Lee, Seong Bin Hong, Yong Seong Kim, Hun-Jae Lee, Moonsuk Nam; Korean Diabetes J. 2010;34(6):368-373. Published online December 31, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.6.368

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Background

The human Rho guanine nucleotide exchange factor 11 (ARHGEF11) functions as an activator of Rho GTPases and is thought to influence insulin signaling. The R1467H variant of ARHGEF11 has been reported to be associated with susceptibility to type 2 diabetes mellitus (T2DM) in Western populations.

Methods

We investigated the effects of the R1467H variant on susceptibility to T2DM as well as related traits in a Korean population. We genotyped the R1467H (rs945508) of ARHGEF11 in 689 unrelated T2DM patients and 249 non-diabetic individuals and compared the clinical and biochemical characteristics according to different alleles.

Results

The H allele was significantly more frequent in T2DM cases than in controls (P = 0.037, 17.1% and 13.1%; respectively). H homozygocity was associated with a higher risk of T2DM compared to those with R/R or R/H genotype (odds ratio, 5.24; 95% confidence interval, 1.06 to 25.83; P = 0.042). The fasting plasma glucose, HbA1c, fasting insulin, HOMA2-IR and HOMA2-%β levels did not differ significantly between different genotypes.

Conclusion

Our study replicated associations of the ARHGEF11 polymorphism with increased risk of T2DM in a Korean population and thus supports previous data implicating a potential role of ARHGEF11 in the etiology of T2DM. Further studies revealing the underlying mechanism for this association are needed.

Citations

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Epigenetic alteration of Rho guanine nucleotide exchange Factor 11 (ARHGEF11) in cord blood samples in macrosomia exposed to intrauterine hyperglycemia
Jie Yan, Rina Su, Wanyi Zhang, Yumei Wei, Chen Wang, Li Lin, Hui Feng, Huixia Yang
The Journal of Maternal-Fetal & Neonatal Medicine.2021; 34(3): 422. CrossRef
Loss of Arhgef11 in the Dahl Salt-Sensitive Rat Protects Against Hypertension-Induced Renal Injury
Ashley C. Johnson, Wenjie Wu, Esinam M. Attipoe, Jennifer M. Sasser, Erin B. Taylor, Kurt C. Showmaker, Patrick B. Kyle, Merry L. Lindsey, Michael R. Garrett
Hypertension.2020; 75(4): 1012. CrossRef
Transgenerational Obesity and Alteration of ARHGEF11 in the Rat Liver Induced by Intrauterine Hyperglycemia
Wanyi Zhang, Rina Su, Hui Feng, Li Lin, Chen Wang, Huixia Yang
Journal of Diabetes Research.2019; 2019: 1. CrossRef
ARHGEF11 affecting the placental insulin signaling pathway in fetal macrosomia of normal glucose tolerance pregnant women
Wanyi Zhang, Rina Su, Li Lin, Huixia Yang
Placenta.2018; 63: 7. CrossRef
Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study
Jie Yan, Rina Su, Deng Ao, Yan Wang, Haijun Wang, Huixia Yang
The Journal of Maternal-Fetal & Neonatal Medicine.2018; 31(16): 2115. CrossRef
Human Rho Guanine Nucleotide Exchange Factor 11 (ARHGEF11) Regulates Dendritic Morphogenesis
Yutaka Mizuki, Manabu Takaki, Shinji Sakamoto, Sojiro Okamoto, Makiko Kishimoto, Yuko Okahisa, Masahiko Itoh, Norihito Yamada
International Journal of Molecular Sciences.2016; 18(1): 67. CrossRef
Allelic Variants in Arhgef11 via the Rho-Rock Pathway Are Linked to Epithelial–Mesenchymal Transition and Contributes to Kidney Injury in the Dahl Salt-Sensitive Rat
Zhen Jia, Ashley C. Johnson, Xuexiang Wang, Zibiao Guo, Albert W. Dreisbach, Jack R. Lewin, Patrick B. Kyle, Michael R. Garrett, Maria Pia Rastaldi
PLOS ONE.2015; 10(7): e0132553. CrossRef
The Rho-guanine nucleotide exchange factor PDZ-RhoGEF governs susceptibility to diet-induced obesity and type 2 diabetes
Ying-Ju Chang, Scott Pownall, Thomas E Jensen, Samar Mouaaz, Warren Foltz, Lily Zhou, Nicole Liadis, Minna Woo, Zhenyue Hao, Previn Dutt, Philip J Bilan, Amira Klip, Tak Mak, Vuk Stambolic
eLife.2015;[Epub] CrossRef
Human Rho guanine nucleotide exchange factor 11 gene is associated with schizophrenia in a Japanese population
Yutaka Mizuki, Manabu Takaki, Yuko Okahisa, Shinji Sakamoto, Masafumi Kodama, Hiroshi Ujike, Yosuke Uchitomi
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Small G proteins and their regulators in cellular signalling
Roland Csépányi-Kömi, Magdolna Lévay, Erzsébet Ligeti
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The Duration of Sulfonylurea Treatment Is Associated withβ-Cell Dysfunction in Patients with Type 2 Diabetes Mellitus
Mi-Seon Shin, Jee Hee Yu, Chang Hee Jung, Jenie Yoonoo Hwang, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park
Diabetes Technology & Therapeutics.2012; 14(11): 1033. CrossRef

Development and Validation of a Semi-Quantitative Food Frequency Questionnaire to Assess Diets of Korean Type 2 Diabetic Patients: Seongbin Hong, Yunjin Choi, Hun-Jae Lee, So Hun Kim, Younju Oe, Seung Youn Lee, Moonsuk Nam, Yong Seong Kim; Korean Diabetes J. 2010;34(1):32-39. Published online February 28, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.1.32

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Background

Our aim was to assess the validity of a semi-quantitative food frequency questionnaire (FFQ) by comparison with the 3-day diet record (DR) in patients with type 2 diabetes.

Methods

Eighty five type 2 diabetic patients (aged 33 to 70 years) from the Korean National Diabetes Program (KNDP) completed 3-day DR and FFQ. The FFQ was designed to reflect the eating pattern of Korean type 2 diabetic patients, and was based on the 2003 Korean National Health and Nutrition Examination Survey. The FFQ consists of 85 food items and 12 food groups. The validity of FFQ was assessed by comparison with the 3-day DR.

Results

The mean age was 49 ± 10 years. Clinical characteristic including body weight, diabetic duration, and HbA1c were not different from the total cohort subjects (n = 1,478). There were no significant differences in the mean intake of protein, fat and calcium estimated by the FFQ and the 3-day DR. Energy and carbohydrate estimated by the FFQ were higher than those estimated by the 3-day DR. The correlation coefficient was highest for energy (r = 0.740; P < 0.00) and lowest for iron (r = 0.269; P < 0.05). The Kappa values for energy, carbohydrate, protein, fat and calcium were 0.54, 0.37, 0.36, 0.46, and 0.19, respectively.

Conclusion

The FFQ is a reasonable instrument for assessing the intake of most macronutrients in Korean type 2 diabetes, although careful consideration is required for the food groups and nutrients for which the FFQ had low validity.

Citations

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