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

Page Path

2
results for

"Kyong Chol Kim"

Filter

Article category

Keywords

Publication year

Authors

"Kyong Chol Kim"

Original Articles
Association between Salivary Mitochondrial DNA Copy Number and Chronic Fatigue according to Combined Symptoms in Korean Adults
Jinyoung Shin, Kyong Chol Kim, Duk Chul Lee, Hye Ree Lee, Jae Yong Shim
Korean J Fam Med 2017;38(4):206-212.   Published online July 20, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.4.206
Background

We examined the association between salivary mitochondrial DNA (mtDNA) copy number and chronic fatigue combined with depression and insomnia.

Methods

This cross-sectional study included 58 healthy adults with moderate to severe fatigue (Brief Fatigue Inventory [BFI] ≥4) for longer than 6 months. Subjects were classified as those without combined symptoms, with either depression (Beck Depression Inventory [BDI] ≥13) or insomnia (Pittsburgh Sleep Quality Index [PSQI] ≥5), or with both depression and insomnia. Salivary mtDNA copy number was measured by real-time quantitative polymerase chain reaction. The association was evaluated using a general linear model.

Results

About 76% of participants had either depression or insomnia as additional symptoms. These subjects were predominately female, drank more alcohol, and exercised less than those without combined symptoms (P<0.05). The group with both depression and insomnia exhibited significantly higher BFI and lower mtDNA copy number than those without combined symptoms (P<0.05). After adjusting for confounding factors, significant negative associations between mtDNA copy number and usual fatigue were found in the group without combined symptoms, whereas the negative associations in the group with combined symptoms were attenuated. BDI and PSQI were not associated with mtDNA copy number.

Conclusion

Chronic fatigue is negatively associated with salivary mtDNA copy number. Salivary mtDNA copy number may be a biological marker of fatigue with or without combined symptoms, indicating that a separate approach is necessary.

Citations

Citations to this article as recorded by  
  • Salivary mitochondrial DNA is associated with biomarkers of Alzheimer’s disease in cognitively normal older adults
    Jose L. Cantero, Mercedes Atienza, Petar Podlesniy, Margalida Puigròs, Ramon Trullas
    Translational Psychiatry.2025;[Epub]     CrossRef
  • Association of sleep quality and mitochondrial DNA copy number in healthy middle-aged adults
    Seolbin Han, Dae-Kwang Kim, Sang-Eun Jun, Nahyun Kim
    Sleep Medicine.2024; 113: 19.     CrossRef
  • The Association Between Periodontal Inflamed Surface Area (PISA), Inflammatory Biomarkers, and Mitochondrial DNA Copy Number
    Romana Mance Kristan, Staša Jurgec, Uroš Potočnik, Marko Marhl, Rok Gašperšič
    Journal of Clinical Medicine.2024; 14(1): 24.     CrossRef
  • Dual Effect of Combined Metformin and 2-Deoxy-D-Glucose Treatment on Mitochondrial Biogenesis and PD-L1 Expression in Triple-Negative Breast Cancer Cells
    Jernej Repas, Mateja Zupin, Maja Vodlan, Peter Veranič, Boris Gole, Uroš Potočnik, Mojca Pavlin
    Cancers.2022; 14(5): 1343.     CrossRef
  • Exosome‐associated mitochondrial DNA from patients with myalgic encephalomyelitis/chronic fatigue syndrome stimulates human microglia to release IL‐1β
    Irene Tsilioni, Benjamin Natelson, Theoharis C. Theoharides
    European Journal of Neuroscience.2022; 56(10): 5784.     CrossRef
  • Association of mitochondrial DNA content and displacement loop region sequence variations with cancer-related fatigue in breast cancer survivors receiving chemotherapy
    Yi Long Toh, Elgenia Wong, Jung-Woo Chae, Ning Yi Yap, Angie Hui Ling Yeo, Maung Shwe, Alexandre Chan
    Mitochondrion.2020; 54: 65.     CrossRef
  • Development of the MitoQ assay as a real-time quantification of mitochondrial DNA in degraded samples
    Ka Tak Wai, Peter Gunn, Mark Barash
    International Journal of Legal Medicine.2019; 133(2): 411.     CrossRef
  • Mitochondrial DNA methylation and copy number predict body composition in a young female population
    Laura Bordoni, Vanessa Smerilli, Cinzia Nasuti, Rosita Gabbianelli
    Journal of Translational Medicine.2019;[Epub]     CrossRef
  • 7,188 View
  • 33 Download
  • 9 Web of Science
  • 8 Crossref
Medication compliance in the elderly and the factors associated with compliance.
Kyong Chol Kim, Ju Tea Kim, Ji Sun Kim, Hang Suk Cho, Jae Yong Shim, Hye Ree Lee
J Korean Acad Fam Med 1999;20(10):1216-1223.   Published online October 1, 1999
Background
: Compliance, defined as the extent to how a person's behavior concedes with medical prescription or advice, has great influence on the treatment. Compliance can be a problem when dealing with chronic medical disorder requiring lifestyle changes and long term treatment. Elderly patients are thought to have more difficulty following prescription because they are generally prescribed more medication, and have more chronic disease. Thus we conducted this study to exam the medication compliance, and the factors associated with compliance in elderly patients.

Methods : The study population consisted of 60 patients (men 31,women 29), older than 60years, who visited a geriatric center geriatric center in a university hospital in September 1, 1998 for one week. We used morisky's self-reported questionnaire which consisted of 4 questions by telephone interview to figure out compliance, and asked 11 questions that may influence compliance, and then collected data - sex, age, number of medication, complexity of prescription, physician number, follow-up days etc. by medical records. We defined compliance as given positing answers to all of the four questions. We analyzed the correlation between compliance and associated factors with x2- test.

Results : Twenty one patients(35%) of the 60 patients were non-compliant. The factors associated with medication compliance were knowledgement of the disease (p=0.020), satisfaction with physician(p=0.012),explanation from physician (p=0
050), number of physician (p=0.024), number of dedication (p=0007), complexity of prescription (p=0.002). But there was no relationship between medication compliance and sea, age, education, perceived seriousness of illness, perceived efficacy of treatment, family support, physical disability, treatment duration, adverse effect, and follow-up days.

Conclusion : Thirty five percent of the subjects were non-compliant. In the factors associated with compliance, the doctor/patient factors as satisfaction with physician, number of physician, number of medication, complexity of prescription have more correlation than patient/disease factor Therefore, we emphasize the role of doctor for improving medical compliance.
  • 1,802 View
  • 36 Download
TOP