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Factors Associated for Mild Cognitive Impairment in Older Korean Adults with Type 2 Diabetes Mellitus
Yun Jeong Lee, Hye Mi Kang, Na Kyung Kim, Ju Yeon Yang, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(2):150-157.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.150
  • 4,150 View
  • 35 Download
  • 21 Web of Science
  • 23 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to identify factors associated with mild cognitive impairment (MCI) in older Korean adults with type 2 diabetes mellitus.

Methods

A total of 226 older (age ≥65 years) adults without a history of cerebrovascular disease or dementia participated in this study. Cognitive function was assessed with the Montreal Cognitive Assessment-Korean version (MoCA-K). A MoCA-K score <23 was defined as MCI.

Results

The prevalence of MCI was 32.7%. In a logistic regression analysis, age (≥74 years old vs. 65-68 years old; odds ratio [OR], 3.69; 95% confidence interval [CI], 1.55 to 8.82; P=0.003), educational background (college graduation vs. no school or elementary school graduation; OR, 0.16; 95% CI, 0.05 to 0.46; P=0.001), and systolic blood pressure (≥135 mm Hg vs. ≤120 mm Hg; OR, 3.25; 95% CI, 1.29 to 8.17; P=0.012) were associated with MCI.

Conclusion

More concentrated efforts focused on early detection and appropriate management of MCI may be required in older Korean adults with type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test
    Heeyoung Kang, Juhyeon Kim, Minkyeong Kim, Jin Hyun Kim, Gu Seob Roh, Soo Kyoung Kim
    Neurological Sciences.2024;[Epub]     CrossRef
  • Cognitive screening among older adults with diabetes across diverse clinic settings
    Deepashree Gupta, Holly Wilhalme, Gabriela Sauder, Tannaz Moin
    Diabetes Research and Clinical Practice.2023; 196: 110184.     CrossRef
  • Occurrence of mild cognitive impairment with hyperinsulinaemia in Africans with advanced type 2 diabetes mellitus
    J. Bashir, I.U. Yarube
    IBRO Neuroscience Reports.2022; 12: 182.     CrossRef
  • Risk factors for cognitive decline in type 2 diabetes mellitus patients in Brazil: a prospective observational study
    Ana Cristina Ravazzani de Almeida Faria, Joceline Franco Dall’Agnol, Aline Maciel Gouveia, Clara Inácio de Paiva, Victoria Chechetto Segalla, Cristina Pellegrino Baena
    Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
  • The TELE-DD project on treatment nonadherence in the population with type 2 diabetes and comorbid depression
    Juan Francisco Roy, María Luisa Lozano del Hoyo, Fernando Urcola-Pardo, Alicia Monreal-Bartolomé, Diana Cecilia Gracia Ruiz, María Mercedes Gómez Borao, Ana Belén Artigas Alcázar, José Pedro Martínez Casbas, Alexandra Aceituno Casas, María Teresa Andaluz
    Scientific Reports.2021;[Epub]     CrossRef
  • Potential roles of Glucagon-like peptide-1 and its analogues in cognitive impairment associated with type 2 diabetes mellitus
    Zi-Wei Yu, Rong Liu, Xin Li, Ying Wang, Yu-Hong Fu, Hui-Yao Li, Yue Yuan, Xin-Yuan Gao
    Mechanisms of Ageing and Development.2020; 190: 111294.     CrossRef
  • Predictors of Quality of Life among Older People with Mild Cognitive Impairment Attending Urban Primary Care Clinics
    Alexander Lourdes Samy, Shahrul Bahyah Kamaruzzaman, Saroja Krishnaswamy, Wah-Yun Low
    Clinical Gerontologist.2020; 43(4): 441.     CrossRef
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    Federica Vinciguerra, Marco Graziano, Maria Hagnäs, Lucia Frittitta, Andrea Tumminia
    Nutrients.2020; 12(4): 1019.     CrossRef
  • ASSOCIATION BETWEEN CHANGES IN THE PSYCHOLOGICAL STATUS AND METABOLIC DISORDERS IN WOMEN WITH ARTERIAL HYPERTENSION, OBESITY AND LEFT VENTRICULAR DIASTOLIC DYSFUNCTION
    N. M. Kyrychenko
    Bulletin of Problems Biology and Medicine.2020; 4(2): 102.     CrossRef
  • Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
    Hongjun Zhao, Chenglong Wu, Xiaoping Zhang, Liping Wang, Jianhong Sun, Fuyuan Zhuge
    Open Life Sciences.2019; 14(1): 255.     CrossRef
  • Oral diabetes medication and risk of dementia in elderly patients with type 2 diabetes
    Ju Young Kim, Young Sook Ku, Hyun Jeong Kim, Nga Thi Trinh, Woorim Kim, Bomi Jeong, Tae Young Heo, Myung Koo Lee, Kyung Eun Lee
    Diabetes Research and Clinical Practice.2019; 154: 116.     CrossRef
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    Xue Zhao, Qing Han, You Lv, Lin Sun, Xiaokun Gang, Guixia Wang
    Oncotarget.2018; 9(7): 7710.     CrossRef
  • Low education and lack of spousal relationship are associated with dementia in older adults with diabetes mellitus in Nigeria
    Abdulkareem J. Yusuf, Olusegun Baiyewu, Adamu G. Bakari, Sani B. Garko, Mohammed E.‐B. Jibril, Aishatu M. Suleiman, Haruna M. Muktar, Micheal A. Amedu
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    Zainab I. Abba, Yannick Mboue-Djieka, Yacouba N. Mapoure, Cyrille Nkouonlack, Henry N. Luma, Simeon-Pierre Choukem
    International Journal of Diabetes in Developing Countries.2018; 38(2): 158.     CrossRef
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    Dagnew Baye, Desalegn Wolide Amare, Mossie Andualem
    Journal of Public Health and Epidemiology.2017; 9(11): 300.     CrossRef
  • Association of metabolic syndrome and 25‐hydroxyvitamin D with cognitive impairment among elderly Koreans
    Eun Young Lee, Su Jin Lee, Kyoung Min Kim, Young Mi Yun, Bo Mi Song, Jong Eun Kim, Hyeon Chang Kim, Yumie Rhee, Yoosik Youm, Chang Oh Kim
    Geriatrics & Gerontology International.2017; 17(7): 1069.     CrossRef
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    Shuangling Xiu, Zheng Zheng, Shaochen Guan, Jin Zhang, Jinghong Ma, Piu Chan
    Neuroscience Letters.2017; 637: 182.     CrossRef
  • Assessment of relationship on excess arsenic intake from drinking water and cognitive impairment in adults and elders in arsenicosis areas
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    International Journal of Hygiene and Environmental Health.2017; 220(2): 424.     CrossRef
  • An Update on Type 2 Diabetes Mellitus as a Risk Factor for Dementia
    Wei Li, Edgar Huang
    Journal of Alzheimer's Disease.2016; 53(2): 393.     CrossRef
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    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
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    Insa Feinkohl, Markéta Keller, Christine M. Robertson, Joanne R. Morling, Stela McLachlan, Brian M. Frier, Ian J. Deary, Mark W. J. Strachan, Jackie F. Price
    Diabetologia.2015; 58(7): 1637.     CrossRef
  • Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol
    Eduardo De la Cruz-Cano, Carlos Alfonso Tovilla-Zarate, Emilio Reyes-Ramos, Thelma Beatriz Gonzalez-Castro, Isela Juarez-Castro, Maria Lilia López-Narváez, Ana Fresan
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The Association of Self-Reported Coronary Heart Disease with Diabetes Duration in Korea
Hye Mi Kang, Yun Jeong Lee, Dong-Jun Kim
Diabetes Metab J. 2012;36(5):350-356.   Published online October 18, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.5.350
  • 3,252 View
  • 24 Download
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

This study aimed to investigate the association of diabetes duration with self-reported coronary heart disease (CHD) in Korea.

Methods

Among data from 34,145 persons compiled in the third Korean National Health and Nutrition Examination Survey in 2005, laboratory test and nutritional survey data from 5,531 persons were examined. The participants were asked to recall a physician's diagnosis of CHD (angina or myocardial infarction).

Results

Age- and sex-adjusted relative risk for CHD was 1.51 (95% confidence interval [CI], 0.64 to 3.59; not significant) for diabetes with duration of <1 year, 2.27 (95% CI, 1.14 to 4.54; P=0.020) for diabetes with a duration of 1 to 5 years, and 3.29 (95% CI, 1.78 to 6.08; P<0.001) for diabetes with a duration >5 years, compared with non-diabetes as a control. Even after adjusting for age, sex, current smoking status, waist circumference, hypertension, triglycerides, high density lipoprotein cholesterol, and fasting plasma glucose, relative risk for CHD was 2.87 (95% CI, 1.01 to 8.11; P=0.047) in diabetes with a duration of 6 to 10 years and 4.07 (95% CI, 1.73 to 9.63; P=0.001) in diabetes with duration of >10 years with non-diabetes as a control.

Conclusion

CHD prevalence increased with an increase in diabetes duration in Korean men and women. Recently detected diabetes (duration <1 year) was not significantly associated with CHD prevalence compared to non-diabetes. However, diabetes of a duration of >5 years was associated with an increase in CHD compared to non-diabetics after adjusting for several CHD risk factors.

Citations

Citations to this article as recorded by  
  • Predictive nomogram for coronary heart disease in patients with type 2 diabetes mellitus
    Shucai Xiao, Youzheng Dong, Bin Huang, Xinghua Jiang
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Elevated lipoprotein(a) levels predict cardiovascular disease in type 2 diabetes mellitus: a 10-year prospective cohort study
    Tae-Seok Lim, Jae-Seung Yun, Seon-Ah Cha, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Yong-Moon Park, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(6): 1110.     CrossRef
  • Clinical Marker of Platelet Hyperreactivity in Diabetes Mellitus
    Jin Hwa Kim, Hak Yeon Bae, Sang Yong Kim
    Diabetes & Metabolism Journal.2013; 37(6): 423.     CrossRef
Total Energy Intake May Be More Associated with Glycemic Control Compared to Each Proportion of Macronutrients in the Korean Diabetic Population
Hye Mi Kang, Dong-Jun Kim
Diabetes Metab J. 2012;36(4):300-306.   Published online August 20, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.4.300
  • 3,342 View
  • 33 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

Major macronutrients for energy intake vary among countries and cultures. Carbohydrates, including rice, are the major component of daily energy intake in Korea. The aim of this study was to examine the association of daily energy intake or each proportion of macronutrients, especially carbohydrates, with glycemic control in diabetic Koreans.

Methods

A total of 334 individuals with diabetes (175 men, age 57.4±0.8 years; 159 women, age 60.9±0.9 years) who participated in the 2005 Korean National Health and Nutrition Examination Survey were examined. Glycemic control was categorized based on concentration of glycated hemoglobin (HbA1c; HbA1c ≤6.5%; 6.6% to 8.0%; ≥8.1%). Dietary intake was assessed by using a 24-recall item questionnaire.

Results

High total energy intake was associated with poor glycemic control (HbA1c ≤6.5%, 1,824±75 kcal; 6.6% to 8.0%, 1,990±57 kcal; ≥8.1%, 2,144±73 kcal; P value for trend=0.002). Each proportion of protein, fat, or carbohydrate was not associated with glycemic control. Even after adjusting for several parameters, the association of daily energy intake with glycemic control still persisted.

Conclusion

Total energy intake may be more closely related to glycemic control than each proportionof macronutrients in Korean diabetics.

Citations

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  • Association of dietary intake and nutrition knowledge with diabetes self-management behavior among Bangladeshi type 2 diabetes mellitus adults: A multi-center cross-sectional study
    Shakil Ahmed, Md Sajjadul Haque Ripon, Mohammad Farhan Islam, Ahmad Ullah, Safayet Sultan, Mohammad Sajid, Tanjina Rahman
    Endocrine and Metabolic Science.2024; 14: 100156.     CrossRef
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    Rizki Andriani, Aghnia Kamila, Roofi Asma Putri, Arif Fadhillah, Sabrina Helmi, Delia Septiani
    Healthcare in Low-resource Settings.2024;[Epub]     CrossRef
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  • Prevalence and the association between clinical factors and Diabetes-Related Distress (DRD) with poor glycemic control in patients with type 2 diabetes: A Northern Thai cross-sectional study
    Achiraya Ruangchaisiwawet, Narumit Bankhum, Krittai Tanasombatkul, Phichayut Phinyo, Nalinee Yingchankul, Shairyzah Ahmad Hisham
    PLOS ONE.2023; 18(11): e0294810.     CrossRef
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    Diabetes Therapy.2021; 12(4): 1055.     CrossRef
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    Journal of Korean Medical Science.2014; 29(10): 1353.     CrossRef
Metabolic Syndrome versus Framingham Risk Score for Association of Self-Reported Coronary Heart Disease: The 2005 Korean Health and Nutrition Examination Survey
Hye Mi Kang, Dong-Jun Kim
Diabetes Metab J. 2012;36(3):237-244.   Published online June 14, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.3.237
  • 3,434 View
  • 27 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

Several studies in Western populations have indicated that metabolic syndrome (MetS) is inferior to the Framingham risk score (FRS) in predicting coronary heart disease (CHD). However there has been no study about the predictability of MetS vs. FRS for CHD in Korea.

Methods

Among the 43,145 persons from the third Korea National Health and Nutrition Examination Survey in 2005, laboratory test and nutritional survey data from 5,271 persons were examined. Participants were also asked to recall a physician's diagnosis of CHD.

Results

The median age was 46 (range, 20 to 78) in men (n=2,257) and 44 (range, 20 to 78) years in women (n=3,014). Prevalence of self-reported CHD was 1.7% in men and 2.1% in women. Receiver operating characteristic curves and their respective area under the curve (AUC) were used to compare the ability of the FRS and the number of components of MetS to predict self-reported CHD in each sex. In men, AUC of FRS was significantly larger than that of MetS (0.767 [0.708 to 0.819] vs. 0.677 [0.541 to 0.713], P<0.01). In women, AUC of FRS was comparable to that of MetS (0.777 [0.728 to 0.826] vs. 0.733 [0.673 to 0.795]), and was not significant.

Conclusion

The data suggested that FRS was more closely associated with CHD compared to MetS in Korean men.

Citations

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